Sample records for aerosol imager cai

  1. Adaptation of an aerosol retrieval algorithm using multi-wavelength and multi-pixel information of satellites (MWPM) to GOSAT/TANSO-CAI

    NASA Astrophysics Data System (ADS)

    Hashimoto, M.; Takenaka, H.; Higurashi, A.; Nakajima, T.

    2017-12-01

    Aerosol in the atmosphere is an important constituent for determining the earth's radiation budget, so the accurate aerosol retrievals from satellite is useful. We have developed a satellite remote sensing algorithm to retrieve the aerosol optical properties using multi-wavelength and multi-pixel information of satellite imagers (MWPM). The method simultaneously derives aerosol optical properties, such as aerosol optical thickness (AOT), single scattering albedo (SSA) and aerosol size information, by using spatial difference of wavelegths (multi-wavelength) and surface reflectances (multi-pixel). The method is useful for aerosol retrieval over spatially heterogeneous surface like an urban region. In this algorithm, the inversion method is a combination of an optimal method and smoothing constraint for the state vector. Furthermore, this method has been combined with the direct radiation transfer calculation (RTM) numerically solved by each iteration step of the non-linear inverse problem, without using look up table (LUT) with several constraints. However, it takes too much computation time. To accelerate the calculation time, we replaced the RTM with an accelerated RTM solver learned by neural network-based method, EXAM (Takenaka et al., 2011), using Rster code. And then, the calculation time was shorternd to about one thouthandth. We applyed MWPM combined with EXAM to GOSAT/TANSO-CAI (Cloud and Aerosol Imager). CAI is a supplement sensor of TANSO-FTS, dedicated to measure cloud and aerosol properties. CAI has four bands, 380, 674, 870 and 1600 nm, and observes in 500 meters resolution for band1, band2 and band3, and 1.5 km for band4. Retrieved parameters are aerosol optical properties, such as aerosol optical thickness (AOT) of fine and coarse mode particles at a wavelenth of 500nm, a volume soot fraction in fine mode particles, and ground surface albedo of each observed wavelength by combining a minimum reflectance method and Fukuda et al. (2013). We will show

  2. Discussion of vicarious calibration of GOSAT/TANSO-CAI UV-band (380nm) and aerosol retrieval in wildfire region in the OCO-2 and GOSAT observation campaign at Railroad Valley in 2016

    NASA Astrophysics Data System (ADS)

    Hashimoto, M.; Kuze, A.; Bruegge, C. J.; Shiomi, K.; Kataoka, F.; Kikuchi, N.; Arai, T.; Kasai, K.; Nakajima, T.

    2016-12-01

    The GOSAT (Greenhouse Gases Observing Satellite) / TANSO-CAI (Cloud and Aerosol Imager, CAI) is an imaging sensor to measure cloud and aerosol properties and observes reflected sunlight from the atmosphere and surface of the ground. The sensor has four bands from near ultraviolet (near-UV) to shortwave infrared, 380, 674, 870 and 1600nm. The field of view size is 0.5 km for band-1 through band-3, and 1.5km for band-4. Band-1 (380nm) is one of unique function of the CAI. The near-UV observation offers several advantages for the remote sensing of aerosols over land: Low reflectance of most surfaces; Sensitivity to absorbing aerosols; Absorption of trace gases is weak (Höller et al., 2004). CAI UV-band is useful to distinguish absorbing aerosol (smoke) from cloud. GOSAT-2/TANSO-CAI-2 that will be launched in the future also has UV-bands, 340 and 380nm. We carried out an experiment to calibrate CAI UV-band radiance using data taken in a field campaign of OCO-2 and GOSAT at Railroad Valley in 2016. The campaign period is June 27 to July 3 in 2016. We measured surface reflectance by using USB4000 Spectrometer with 74-UV collimating lens (Ocean Optics) and Spectralon (Labsphere). USB4000 is a UV spectrometer, and its measurement range from 300 to 520nm. We simulated CAI UV-band radiance using a vector type of radiation transfer code, i.e. including polarization calculation, pstar3 (Ota et al., 2010) using measured surface reflectance and atmospheric data, pressure and relative humidity by radiosonde in the same campaign, and aerosol optical depth by AERONET, etc. Then, we evaluated measured UV radiances with the simulated data. We show the result of vicarious calibration of CAI UV-band in the campaign, and discuss about this method for future sensor, CAI-2. Around the campaign period, there was wildfire around Los Angeles, and aerosol optical thickness (AOT) observed by AERONET at Rail Road valley and Caltech sites is also high. We tried to detect and retrieve aerosol

  3. GOSAT CO2 retrieval results using TANSO-CAI aerosol information over East Asia

    NASA Astrophysics Data System (ADS)

    KIM, M.; Kim, W.; Jung, Y.; Lee, S.; Kim, J.; Lee, H.; Boesch, H.; Goo, T. Y.

    2015-12-01

    In the satellite remote sensing of CO2, incorrect aerosol information could induce large errors as previous studies suggested. Many factors, such as, aerosol type, wavelength dependency of AOD, aerosol polarization effect and etc. have been main error sources. Due to these aerosol effects, large number of data retrieved are screened out in quality control, or retrieval errors tend to increase if not screened out, especially in East Asia where aerosol concentrations are fairly high. To reduce these aerosol induced errors, a CO2 retrieval algorithm using the simultaneous TANSO-CAI aerosol information is developed. This algorithm adopts AOD and aerosol type information as a priori information from the CAI aerosol retrieval algorithm. The CO2 retrieval algorithm based on optimal estimation method and VLIDORT, a vector discrete ordinate radiative transfer model. The CO2 algorithm, developed with various state vectors to find accurate CO2 concentration, shows reasonable results when compared with other dataset. This study concentrates on the validation of retrieved results with the ground-based TCCON measurements in East Asia and the comparison with the previous retrieval from ACOS, NIES, and UoL. Although, the retrieved CO2 concentration is lower than previous results by ppm's, it shows similar trend and high correlation with previous results. Retrieved data and TCCON measurements data are compared at three stations of Tsukuba, Saga, Anmyeondo in East Asia, with the collocation criteria of ±2°in latitude/longitude and ±1 hours of GOSAT passing time. Compared results also show similar trend with good correlation. Based on the TCCON comparison results, bias correction equation is calculated and applied to the East Asia data.

  4. The impact of the use of different satellite data as training data against GOSAT-2 CAI-2 L2 cloud discrimination

    NASA Astrophysics Data System (ADS)

    Oishi, Y.; Ishida, H.; Nakajima, T. Y.

    2016-12-01

    Greenhouse gases Observing SATellite-2 (GOSAT-2) will be launched in fiscal 2017 to determine atmospheric concentrations of greenhouse gases, such as CO2, CH4, and CO. GOSAT-2 will be equipped with two sensors: the Thermal and Near-infrared Sensor for Carbon Observation (TANSO)-Fourier Transform Spectrometer-2 (FTS-2) and TANSO-Cloud and Aerosol Imager-2 (CAI-2). CAI-2 is a push-broom imaging sensor that has forward- and backward-looking bands for observing the optical properties of aerosols and clouds, and for monitoring the status of urban air pollution and transboundary air pollution over oceans. An important role of CAI-2 is to perform cloud discrimination in each direction. The Cloud and Aerosol Unbiased Decision Intellectual Algorithm (CLAUDIA1), which applies sequential threshold tests to features, has been used in GOSAT CAI L2 cloud flag processing. If CLAUDIA1 used with CAI-2, it is necessary to optimize the thresholds in accordance with CAI-2. Meanwhile, CLAUDIA3 using support vector machines (SVM), which is a supervised pattern recognition method, was developed for GOSAT-2 CAI-2 L2 cloud discrimination processing. Thus, CLAUDIA3 can automatically find the optimized boundary between clear and cloudy. Improvement of the CLAUDIA3 used with CAI (CLAUDIA3-CAI) has carried out and is still continuing. In this study we compared results of CLAUDIA3-CAI using Terra MODIS data and GOSAT CAI data as training data to clarify the impact of the use of different satellite data as training data against GOSAT-2 CAI-2 L2 cloud discrimination. We will present our latest results.

  5. Preliminary verification for application of a support vector machine-based cloud detection method to GOSAT-2 CAI-2

    NASA Astrophysics Data System (ADS)

    Oishi, Yu; Ishida, Haruma; Nakajima, Takashi Y.; Nakamura, Ryosuke; Matsunaga, Tsuneo

    2018-05-01

    The Greenhouse Gases Observing Satellite (GOSAT) was launched in 2009 to measure global atmospheric CO2 and CH4 concentrations. GOSAT is equipped with two sensors: the Thermal And Near infrared Sensor for carbon Observations (TANSO)-Fourier transform spectrometer (FTS) and TANSO-Cloud and Aerosol Imager (CAI). The presence of clouds in the instantaneous field of view of the FTS leads to incorrect estimates of the concentrations. Thus, the FTS data suspected to have cloud contamination must be identified by a CAI cloud discrimination algorithm and rejected. Conversely, overestimating clouds reduces the amount of FTS data that can be used to estimate greenhouse gas concentrations. This is a serious problem in tropical rainforest regions, such as the Amazon, where the amount of useable FTS data is small because of cloud cover. Preparations are continuing for the launch of the GOSAT-2 in fiscal year 2018. To improve the accuracy of the estimates of greenhouse gases concentrations, we need to refine the existing CAI cloud discrimination algorithm: Cloud and Aerosol Unbiased Decision Intellectual Algorithm (CLAUDIA1). A new cloud discrimination algorithm using a support vector machine (CLAUDIA3) was developed and presented in another paper. Although the use of visual inspection of clouds as a standard for judging is not practical for screening a full satellite data set, it has the advantage of allowing for locally optimized thresholds, while CLAUDIA1 and -3 use common global thresholds. Thus, the accuracy of visual inspection is better than that of these algorithms in most regions, with the exception of snow- and ice-covered surfaces, where there is not enough spectral contrast to identify cloud. In other words, visual inspection results can be used as truth data for accuracy evaluation of CLAUDIA1 and -3. For this reason visual inspection can be used for the truth metric for the cloud discrimination verification exercise. In this study, we compared CLAUDIA1-CAI and

  6. New approaches to removing cloud shadows and evaluating the 380 nm surface reflectance for improved aerosol optical thickness retrievals from the GOSAT/TANSO-Cloud and Aerosol Imager

    NASA Astrophysics Data System (ADS)

    Fukuda, Satoru; Nakajima, Teruyuki; Takenaka, Hideaki; Higurashi, Akiko; Kikuchi, Nobuyuki; Nakajima, Takashi Y.; Ishida, Haruma

    2013-12-01

    satellite aerosol retrieval algorithm was developed to utilize a near-ultraviolet band of the Greenhouse gases Observing SATellite/Thermal And Near infrared Sensor for carbon Observation (GOSAT/TANSO)-Cloud and Aerosol Imager (CAI). At near-ultraviolet wavelengths, the surface reflectance over land is smaller than that at visible wavelengths. Therefore, it is thought possible to reduce retrieval error by using the near-ultraviolet spectral region. In the present study, we first developed a cloud shadow detection algorithm that uses first and second minimum reflectances of 380 nm and 680 nm based on the difference in Rayleigh scattering contribution for these two bands. Then, we developed a new surface reflectance correction algorithm, the modified Kaufman method, which uses minimum reflectance data at 680 nm and the NDVI to estimate the surface reflectance at 380 nm. This algorithm was found to be particularly effective at reducing the aerosol effect remaining in the 380 nm minimum reflectance; this effect has previously proven difficult to remove owing to the infrequent sampling rate associated with the three-day recursion period of GOSAT and the narrow CAI swath of 1000 km. Finally, we applied these two algorithms to retrieve aerosol optical thicknesses over a land area. Our results exhibited better agreement with sun-sky radiometer observations than results obtained using a simple surface reflectance correction technique using minimum radiances.

  7. Development of a generalized algorithm of satellite remote sensing using multi-wavelength and multi-pixel information (MWP method) for aerosol properties by satellite-borne imager

    NASA Astrophysics Data System (ADS)

    Hashimoto, M.; Nakajima, T.; Morimoto, S.; Takenaka, H.

    2014-12-01

    We have developed a new satellite remote sensing algorithm to retrieve the aerosol optical characteristics using multi-wavelength and multi-pixel information of satellite imagers (MWP method). In this algorithm, the inversion method is a combination of maximum a posteriori (MAP) method (Rodgers, 2000) and the Phillips-Twomey method (Phillips, 1962; Twomey, 1963) as a smoothing constraint for the state vector. Furthermore, with the progress of computing technique, this method has being combined with the direct radiation transfer calculation numerically solved by each iteration step of the non-linear inverse problem, without using LUT (Look Up Table) with several constraints.Retrieved parameters in our algorithm are aerosol optical properties, such as aerosol optical thickness (AOT) of fine and coarse mode particles, a volume soot fraction in fine mode particles, and ground surface albedo of each observed wavelength. We simultaneously retrieve all the parameters that characterize pixels in each of horizontal sub-domains consisting the target area. Then we successively apply the retrieval method to all the sub-domains in the target area.We conducted numerical tests for the retrieval of aerosol properties and ground surface albedo for GOSAT/CAI imager data to test the algorithm for the land area. The result of the experiment showed that AOTs of fine mode and coarse mode, soot fraction and ground surface albedo are successfully retrieved within expected accuracy. We discuss the accuracy of the algorithm for various land surface types. Then, we applied this algorithm to GOSAT/CAI imager data, and we compared retrieved and surface-observed AOTs at the CAI pixel closest to an AERONET (Aerosol Robotic Network) or SKYNET site in each region. Comparison at several sites in urban area indicated that AOTs retrieved by our method are in agreement with surface-observed AOT within ±0.066.Our future work is to extend the algorithm for analysis of AGEOS-II/GLI and GCOM/C-SGLI data.

  8. CAI Update: So You Want to Do CAI?

    ERIC Educational Resources Information Center

    Bagley, Carole

    1979-01-01

    Provides necessary characteristics to consider when selecting a CAI system plus a list of costs and capabilities available with the better known CAI systems. Characteristics of major CAI systems are presented in three categories--large/maxi, mini, and micro systems--in chart form. (JEG)

  9. Imaging aerosol viscosity

    NASA Astrophysics Data System (ADS)

    Pope, Francis; Athanasiadis, Thanos; Botchway, Stan; Davdison, Nicholas; Fitzgerald, Clare; Gallimore, Peter; Hosny, Neveen; Kalberer, Markus; Kuimova, Marina; Vysniauskas, Aurimas; Ward, Andy

    2017-04-01

    Organic aerosol particles play major roles in atmospheric chemistry, climate, and public health. Aerosol particle viscosity is important since it can determine the ability of chemical species such as oxidants, organics or water to diffuse into the particle bulk. Recent measurements indicate that OA may be present in highly viscous states; however, diffusion rates of small molecules such as water appear not to be limited by these high viscosities. We have developed a technique for measuring viscosity that allows for the imaging of aerosol viscosity in micron sized aerosols through use of fluorescence lifetime imaging of viscosity sensitive dyes which are also known as 'molecular rotors'. These rotors can be introduced into laboratory generated aerosol by adding minute quantities of the rotor to aerosol precursor prior to aerosolization. Real world aerosols can also be studied by doping them in situ with the rotors. The doping is achieved through generation of ultrafine aerosol particles that contain the rotors; the ultrafine aerosol particles deliver the rotors to the aerosol of interest via impaction and coagulation. This work has been conducted both on aerosols deposited on microscope coverslips and on particles that are levitated in their true aerosol phase through the use of a bespoke optical trap developed at the Central Laser Facility. The technique allows for the direct observation of kinetic barriers caused by high viscosity and low diffusivity in aerosol particles. The technique is non-destructive thereby allowing for multiple experiments to be carried out on the same sample. It can dynamically quantify and track viscosity changes during atmospherically relevant processes such oxidation and hygroscopic growth (1). This presentation will focus on the oxidation of aerosol particles composed of unsaturated and saturated organic species. It will discuss how the type of oxidant, oxidation rate and the composition of the oxidized products affect the time

  10. Several thoughts for using new satellite remote sensing and global modeling for aerosol and cloud climate studies

    NASA Astrophysics Data System (ADS)

    Nakajima, Teruyuki; Hashimoto, Makiko; Takenaka, Hideaki; Goto, Daisuke; Oikawa, Eiji; Suzuki, Kentaroh; Uchida, Junya; Dai, Tie; Shi, Chong

    2017-04-01

    The rapid growth of satellite remote sensing technologies in the last two decades widened the utility of satellite data for understanding climate impacts of aerosols and clouds. The climate modeling community also has received the benefit of the earth observation and nowadays closed-collaboration of the two communities make us possible to challenge various applications for societal problems, such as for global warming and global-scale air pollution and others. I like to give several thoughts of new algorithm developments, model use of satellite data for climate impact studies and societal applications related with aerosols and clouds. Important issues are 1) Better aerosol detection and solar energy application using expanded observation ability of the third generation geostationary satellites, i.e. Himawari-8, GOES-R and future MTG, 2) Various observation functions by directional, polarimetric, and high resolution near-UV band by MISR, POLDER&PARASOL, GOSAT/CAI and future GOSAT2/CAI2, 3) Various applications of general purpose-imagers, MODIS, VIIRS and future GCOM-C/SGLI, and 4) Climate studies of aerosol and cloud stratification and convection with active and passive sensors, especially climate impact of BC aerosols using CLOUDSAT&CALIPSO and future Earth Explorer/EarthCARE.

  11. CAI and Developmental Education.

    ERIC Educational Resources Information Center

    Anderson, Rick

    This paper discusses the problems and achievements of computer assisted instruction (CAI) projects at University College, University of Cincinnati. The most intensive use of CAI on campus, the CAI Lab, is part of the Developmental Education Center's effort to serve students who lack mastery of basic college-level skills in mathematics and English.…

  12. Particulated articular cartilage: CAIS and DeNovo NT.

    PubMed

    Farr, Jack; Cole, Brian J; Sherman, Seth; Karas, Vasili

    2012-03-01

    Cartilage Autograft Implantation System (CAIS; DePuy/Mitek, Raynham, MA) and DeNovo Natural Tissue (NT; ISTO, St. Louis, MO) are novel treatment options for focal articular cartilage defects in the knee. These methods involve the implantation of particulated articular cartilage from either autograft or juvenile allograft donor, respectively. In the laboratory and in animal models, both CAIS and DeNovo NT have demonstrated the ability of the transplanted cartilage cells to "escape" from the extracellular matrix, migrate, multiply, and form a new hyaline-like cartilage tissue matrix that integrates with the surrounding host tissue. In clinical practice, the technique for both CAIS and DeNovo NT is straightforward, requiring only a single surgery to affect cartilage repair. Clinical experience is limited, with short-term studies demonstrating both procedures to be safe, feasible, and effective, with improvements in subjective patient scores, and with magnetic resonance imaging evidence of good defect fill. While these treatment options appear promising, prospective randomized controlled studies are necessary to refine the indications and contraindications for both CAIS and DeNovo NT.

  13. Copyright and CAI.

    ERIC Educational Resources Information Center

    Kearsley, G.P.; Hunka, S.

    The application of copyright laws to Computer Assisted Instruction (CAI) is not a simple matter of extending traditional literary practices because of the legal complications introduced by the use of computers to store and reproduce materials. In addition, CAI courseware poses some new problems for the definitions of educational usage. Some…

  14. Experience with the CAIS

    NASA Technical Reports Server (NTRS)

    Tighe, Michael F.

    1986-01-01

    Intermetrics' experience is that the Ada package construct, which allows separation of specification and implementation allows specification of a CAIS that is transportable across varying hardware and software bases. Additionally, the CAIS is an excellent basis for providing operating system functionality to Ada applications. By allowing the Byron APSE to be moved easily from system to system, and allowing significant re-writes of underlying code. Ada and the CAIS provide portability as well as transparency to change at the application operating system interface level.

  15. CAI System Costs: Present and Future.

    ERIC Educational Resources Information Center

    Pressman, Israel; Rosenbloom, Bruce

    1984-01-01

    Discusses costs related to providing computer assisted instruction (CAI), considering hardware, software, user training, maintenance, and installation. Provides an example of the total cost of CAI broken down into these categories, giving an adjusted yearly cost. Projects future trends and costs of CAI as well as cost savings possibilities. (JM)

  16. Astrophysics of CAI formation as revealed by silicon isotope LA-MC-ICPMS of an igneous CAI

    NASA Astrophysics Data System (ADS)

    Shahar, Anat; Young, Edward D.

    2007-05-01

    Silicon isotope ratios of a typical CAI from the Leoville carbonaceous chondrite, obtained in situ by laser ablation MC-ICPMS, together with existing 25Mg/ 24Mg data, reveal a detailed picture of the astrophysical setting of CAI melting and subsequent heating. Models for the chemical and isotopic effects of evaporation of the molten CAI are used to produce a univariant relationship between PH 2 and time during melting. The result shows that this CAI was molten for a cumulative time of no more than 70 days and probably less than 15 days depending on temperature. The object could have been molten for an integrated time of just a few hours if isotope ratio zoning was eliminated after melting by high subsolidus temperatures (e.g., > 1300 K) for ˜ 500 yr. In all cases subsolidus heating sufficient to produce diffusion-limited isotope fractionation at the margin of the solidified CAI is required. These stable isotope data point to a two-stage history for this igneous CAI involving melting for a cumulative timescale of hours to months followed by subsolidus heating for years to hundreds of years. The thermobarometric history deduced from combining Si and Mg isotope ratio data implicates thermal processing in the disk, perhaps by passage through shockwaves, following melting. This study underscores the direct link between the meaning of stable isotope ratio zoning, or lack thereof, and the inferred astrophysical setting of melting and subsequent processing of CAIs.

  17. Numerical simulation and validation of SI-CAI hybrid combustion in a CAI/HCCI gasoline engine

    NASA Astrophysics Data System (ADS)

    Wang, Xinyan; Xie, Hui; Xie, Liyan; Zhang, Lianfang; Li, Le; Chen, Tao; Zhao, Hua

    2013-02-01

    SI-CAI hybrid combustion, also known as spark-assisted compression ignition (SACI), is a promising concept to extend the operating range of CAI (Controlled Auto-Ignition) and achieve the smooth transition between spark ignition (SI) and CAI in the gasoline engine. In this study, a SI-CAI hybrid combustion model (HCM) has been constructed on the basis of the 3-Zones Extended Coherent Flame Model (ECFM3Z). An ignition model is included to initiate the ECFM3Z calculation and induce the flame propagation. In order to precisely depict the subsequent auto-ignition process of the unburned fuel and air mixture independently after the initiation of flame propagation, the tabulated chemistry concept is adopted to describe the auto-ignition chemistry. The methodology for extracting tabulated parameters from the chemical kinetics calculations is developed so that both cool flame reactions and main auto-ignition combustion can be well captured under a wider range of thermodynamic conditions. The SI-CAI hybrid combustion model (HCM) is then applied in the three-dimensional computational fluid dynamics (3-D CFD) engine simulation. The simulation results are compared with the experimental data obtained from a single cylinder VVA engine. The detailed analysis of the simulations demonstrates that the SI-CAI hybrid combustion process is characterised with the early flame propagation and subsequent multi-site auto-ignition around the main flame front, which is consistent with the optical results reported by other researchers. Besides, the systematic study of the in-cylinder condition reveals the influence mechanism of the early flame propagation on the subsequent auto-ignition.

  18. Cloud and aerosol polarimetric imager

    NASA Astrophysics Data System (ADS)

    Zhang, Junqiang; Shao, Jianbing; Yan, Changxiang

    2014-02-01

    Cloud and Aerosol Polarimetric Imager (CAPI), which is the first onboard cloud and aerosol Polarimetric detector of CHINA, is developed to get cloud and aerosol data of atmosphere to retrieve aerosol optical and microphysical properties to increase the reversion precision of greenhouse gasses (GHGs). The instrument is neither a Polarization and Direction of Earth's Reflectance (POLDER) nor a Directional Polarimetric Camera (DPC) type polarized camera. It is a multispectral push broom system using linear detectors, and can get 5 bands spectral data, from ultraviolet (UV) to SWIR, of the same ground feature at the same time without any moving structure. This paper describes the CAPI instrument characteristics, composition, calibration, and the nearest development.

  19. Maxi CAI with a Micro.

    ERIC Educational Resources Information Center

    Gerhold, George; And Others

    This paper describes an effective microprocessor-based CAI system which has been repeatedly tested by a large number of students and edited accordingly. Tasks not suitable for microprocessor based systems (authoring, testing, and debugging) were handled on larger multi-terminal systems. This approach requires that the CAI language used on the…

  20. CAI at CSDF: Organizational Strategies.

    ERIC Educational Resources Information Center

    Irwin, Margaret G.

    1982-01-01

    The computer assisted instruction (CAI) program at the California School for the Deaf, at Fremont, features individual Apple computers in classrooms as well as in CAI labs. When the whole class uses computers simultaneously, the teacher can help individuals, identify group weaknesses, note needs of the materials, and help develop additional CAI…

  1. A risk management approach to CAIS development

    NASA Technical Reports Server (NTRS)

    Hart, Hal; Kerner, Judy; Alden, Tony; Belz, Frank; Tadman, Frank

    1986-01-01

    The proposed DoD standard Common APSE Interface Set (CAIS) was developed as a framework set of interfaces that will support the transportability and interoperability of tools in the support environments of the future. While the current CAIS version is a promising start toward fulfilling those goals and current prototypes provide adequate testbeds for investigations in support of completing specifications for a full CAIS, there are many reasons why the proposed CAIS might fail to become a usable product and the foundation of next-generation (1990'S) project support environments such as NASA's Space Station software support environment. The most critical threats to the viability and acceptance of the CAIS include performance issues (especially in piggybacked implementations), transportability, and security requirements. To make the situation worse, the solution to some of these threats appears to be at conflict with the solutions to others.

  2. Development of a remote sensing algorithm to retrieve atmospheric aerosol properties using multiwavelength and multipixel information

    NASA Astrophysics Data System (ADS)

    Hashimoto, Makiko; Nakajima, Teruyuki

    2017-06-01

    We developed a satellite remote sensing algorithm to retrieve the aerosol optical properties using satellite-received radiances for multiple wavelengths and pixels. Our algorithm utilizes spatial inhomogeneity of surface reflectance to retrieve aerosol properties, and the main target is urban aerosols. This algorithm can simultaneously retrieve aerosol optical thicknesses (AOT) for fine- and coarse-mode aerosols, soot volume fraction in fine-mode aerosols (SF), and surface reflectance over heterogeneous surfaces such as urban areas that are difficult to obtain by conventional pixel-by-pixel methods. We applied this algorithm to radiances measured by the Greenhouse Gases Observing Satellite/Thermal and Near Infrared Sensor for Carbon Observations-Cloud and Aerosol Image (GOSAT/TANSO-CAI) at four wavelengths and were able to retrieve the aerosol parameters in several urban regions and other surface types. A comparison of the retrieved AOTs with those from the Aerosol Robotic Network (AERONET) indicated retrieval accuracy within ±0.077 on average. It was also found that the column-averaged SF and the aerosol single scattering albedo (SSA) underwent seasonal changes as consistent with the ground surface measurements of SSA and black carbon at Beijing, China.

  3. The Screen Display Syntax for CAI.

    ERIC Educational Resources Information Center

    Richards, Boyd F.; Salisbury, David F.

    1987-01-01

    Describes four storyboard techniques frequently used in designing computer assisted instruction (CAI) programs, and explains screen display syntax (SDS), a new technique combining the major advantages of the storyboard techniques. SDS was developed to facilitate communication among designers, programmers, and editors working on a large CAI basic…

  4. CAI: Its Cost and Its Role.

    ERIC Educational Resources Information Center

    Pressman, Israel; Rosenbloom, Bruce

    1984-01-01

    Describes and evaluates costs of hardware, software, training, and maintenance for computer assisted instruction (CAI) as they relate to total system cost. An example of an educational system provides an illustration of CAI cost analysis. Future developments, cost effectiveness, affordability, and applications in public and private environments…

  5. Implications of Windowing Techniques for CAI.

    ERIC Educational Resources Information Center

    Heines, Jesse M.; Grinstein, Georges G.

    This paper discusses the use of a technique called windowing in computer assisted instruction to allow independent control of functional areas in complex CAI displays and simultaneous display of output from a running computer program and coordinated instructional material. Two obstacles to widespread use of CAI in computer science courses are…

  6. Multiple Nebular Gas Reservoirs Recorded by Oxygen Isotope Variation in a Spinel-rich CAI in CO3 MIL 090019

    NASA Technical Reports Server (NTRS)

    Simon, J. I.; Simon, S. B.; Nguyen, A. N.; Ross, D. K.; Messenger, S.

    2017-01-01

    We conducted NanoSIMS O-isotopic imaging of a primitive spinel-rich CAI spherule (27-2) from the MIL 090019 CO3 chondrite. Inclusions such as 27-2 are proposed to record inner nebula processes during an epoch of rapid solar nebula evolution. Mineralogical and textural analyses suggest that this CAI formed by high temperature reactions, partial melting, and condensation. This CAI exhibits radial O-isotopic heterogeneity among multiple occurrences of the same mineral, reflecting interactions with distinct nebular O-isotopic reservoirs.

  7. NALDA (Naval Aviation Logistics Data Analysis) CAI (computer aided instruction)

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Handler, B.H.; France, P.A.; Frey, S.C.

    Data Systems Engineering Organization (DSEO) personnel developed a prototype computer aided instruction CAI system for the Naval Aviation Logistics Data Analysis (NALDA) system. The objective of this project was to provide a CAI prototype that could be used as an enhancement to existing NALDA training. The CAI prototype project was performed in phases. The task undertaken in Phase I was to analyze the problem and the alternative solutions and to develop a set of recommendations on how best to proceed. The findings from Phase I are documented in Recommended CAI Approach for the NALDA System (Duncan et al., 1987). Inmore » Phase II, a structured design and specifications were developed, and a prototype CAI system was created. A report, NALDA CAI Prototype: Phase II Final Report, was written to record the findings and results of Phase II. NALDA CAI: Recommendations for an Advanced Instructional Model, is comprised of related papers encompassing research on computer aided instruction CAI, newly developing training technologies, instructional systems development, and an Advanced Instructional Model. These topics were selected because of their relevancy to the CAI needs of NALDA. These papers provide general background information on various aspects of CAI and give a broad overview of new technologies and their impact on the future design and development of training programs. The paper within have been index separately elsewhere.« less

  8. The Evolutionary Development of CAI Hardware.

    ERIC Educational Resources Information Center

    Stifle, John E.

    After six years of research in computer assisted instruction (CAI) using PLATO III, a decision was made at the University of Illinois to develop a larger system as a national CAI resource. This document describes the design specifications and problems in the development of PLATO IV, a system which is capable of accomodating up to 4,000 terminals…

  9. Creation and Distribution of CAIs in the Protoplanetary Nebula

    NASA Technical Reports Server (NTRS)

    Cuzzi, J. N.; Davis, S. S.; Dobrovolskis, A. R.

    2003-01-01

    CaAl rich refractory mineral inclusions (CAIs) found at 1 - 10% mass fraction in primitive chondrites appear to be several million years older than the dominant (chondrule) components in the same parent bodies. A prevalent concern is that it is difficult to retain CAIs for this long against gas-drag-induced radial drift into the sun. We assess a hot inner (turbulent) nebula context for CAI formation, using analytical models of nebula evolution and particle diffusion. We show that outward radial diffusion in a weakly turbulent nebula can prevent significant numbers of CAI-size particles from being lost into the sun for times of 1 - 3 x 10(exp 6) years. To match the CAI abundances quantitatively, we advocate an enhancement of the inner hot nebula in silicate-forming material, due to rapid inward migration of very primitive, silicate and carbon rich, meter-sized objects. 'Combustion' of the carbon into CO would make the CAI formation environment more reduced than solar, as certain observations imply. Abundant CO might also play a role in mass-independent chemical fractionation of oxygen isotopes as seen in CAIs and associated primitive, high-temperature condensates.

  10. Investigating biomass burning aerosol morphology using a laser imaging nephelometer

    NASA Astrophysics Data System (ADS)

    Manfred, Katherine M.; Washenfelder, Rebecca A.; Wagner, Nicholas L.; Adler, Gabriela; Erdesz, Frank; Womack, Caroline C.; Lamb, Kara D.; Schwarz, Joshua P.; Franchin, Alessandro; Selimovic, Vanessa; Yokelson, Robert J.; Murphy, Daniel M.

    2018-02-01

    Particle morphology is an important parameter affecting aerosol optical properties that are relevant to climate and air quality, yet it is poorly constrained due to sparse in situ measurements. Biomass burning is a large source of aerosol that generates particles with different morphologies. Quantifying the optical contributions of non-spherical aerosol populations is critical for accurate radiative transfer models, and for correctly interpreting remote sensing data. We deployed a laser imaging nephelometer at the Missoula Fire Sciences Laboratory to sample biomass burning aerosol from controlled fires during the FIREX intensive laboratory study. The laser imaging nephelometer measures the unpolarized scattering phase function of an aerosol ensemble using diode lasers at 375 and 405 nm. Scattered light from the bulk aerosol in the instrument is imaged onto a charge-coupled device (CCD) using a wide-angle field-of-view lens, which allows for measurements at 4-175° scattering angle with ˜ 0.5° angular resolution. Along with a suite of other instruments, the laser imaging nephelometer sampled fresh smoke emissions both directly and after removal of volatile components with a thermodenuder at 250 °C. The total integrated aerosol scattering signal agreed with both a cavity ring-down photoacoustic spectrometer system and a traditional integrating nephelometer within instrumental uncertainties. We compare the measured scattering phase functions at 405 nm to theoretical models for spherical (Mie) and fractal (Rayleigh-Debye-Gans) particle morphologies based on the size distribution reported by an optical particle counter. Results from representative fires demonstrate that particle morphology can vary dramatically for different fuel types. In some cases, the measured phase function cannot be described using Mie theory. This study demonstrates the capabilities of the laser imaging nephelometer instrument to provide realtime, in situ information about dominant particle

  11. Computers for Your Classroom: CAI and CMI.

    ERIC Educational Resources Information Center

    Thomas, David B.; Bozeman, William C.

    1981-01-01

    The availability of compact, low-cost computer systems provides a means of assisting classroom teachers in the performance of their duties. Computer-assisted instruction (CAI) and computer-managed instruction (CMI) are two applications of computer technology with which school administrators should become familiar. CAI is a teaching medium in which…

  12. Research on TRIZ and CAIs Application Problems for Technology Innovation

    NASA Astrophysics Data System (ADS)

    Li, Xiangdong; Li, Qinghai; Bai, Zhonghang; Geng, Lixiao

    In order to realize application of invent problem solve theory (TRIZ) and computer aided innovation software (CAIs) , need to solve some key problems, such as the mode choice of technology innovation, establishment of technology innovation organization network(TION), and achievement of innovative process based on TRIZ and CAIs, etc.. This paper shows that the demands for TRIZ and CAIs according to the characteristics and existing problem of the manufacturing enterprises. Have explained that the manufacturing enterprises need to set up an open TION of enterprise leading type, and achieve the longitudinal cooperation innovation with institution of higher learning. The process of technology innovation based on TRIZ and CAIs has been set up from researching and developing point of view. Application of TRIZ and CAIs in FY Company has been summarized. The application effect of TRIZ and CAIs has been explained using technology innovation of the close goggle valve product.

  13. CAIs in Semarkona (LL3.0)

    NASA Technical Reports Server (NTRS)

    Mishra, R. K.; Simon, J. I.; Ross, D. K.; Marhas, K. K.

    2016-01-01

    Calcium, Aluminum-rich inclusions (CAIs) are the first forming solids of the Solar system. Their observed abundance, mean size, and mineralogy vary quite significantly between different groups of chondrites. These differences may reflect the dynamics and distinct cosmochemical conditions present in the region(s) of the protoplanetary disk from which each type likely accreted. Only about 11 such objects have been found in L and LL type while another 57 have been found in H type ordinary chondrites, compared to thousands in carbonaceous chondrites. At issue is whether the rare CAIs contained in ordinary chondrites truly reflect a distinct population from the inclusions commonly found in other chondrite types. Semarkona (LL3.00) (fall, 691 g) is the most pristine chondrite available in our meteorite collection. Here we report petrography and mineralogy of 3 CAIs from Semarkona

  14. The Effect of CAI on Reading Achievement.

    ERIC Educational Resources Information Center

    Hardman, Regina

    A study determined whether computer assisted instruction (CAI) had an effect on students' reading achievement. Subjects were 21 randomly selected fourth-grade students at D. S. Wentworth Elementary School on the south side of Chicago in a low-income neighborhood who received a year's exposure to a CAI program, and 21 randomly selected students at…

  15. Evaluation Criteria for Micro-CAI: A Psychometric Approach

    PubMed Central

    Wallace, Douglas; Slichter, Mark; Bolwell, Christine

    1985-01-01

    The increased use of microcomputer-based instructional programs has resulted in a greater need for third-party evaluation of the software. This in turn has prompted the development of micro-CAI evaluation tools. The present project sought to develop a prototype instrument to assess the impact of CAI program presentation characteristics on students. Data analysis and scale construction was conducted using standard item reliability analyses and factor analytic techniques. Adequate subscale reliabilities and factor structures were found, suggesting that a psychometric approach to CAI evaluation may possess some merit. Efforts to assess the utility of the resultant instrument are currently underway.

  16. O, Mg, and Si isotope distributions in the complex ultrarefractory CAI Efremovka 101.1: Assimilation of ultrarefractory, FUN, and regular CAI precursors

    NASA Astrophysics Data System (ADS)

    Aléon, Jérôme; Marin-Carbonne, Johanna; McKeegan, Kevin D.; El Goresy, Ahmed

    2018-07-01

    Oxygen, magnesium, and silicon isotopic compositions in the mineralogically complex, ultrarefractory (UR) calcium-aluminum-rich inclusion (CAI) E101.1 from the reduced CV3 chondrite Efremovka confirm that E101.1 is a compound CAI composed of several lithological units that were once individual CAIs, free-floating in the solar protoplanetary disk. Each precursor unit was found to have had its own thermal history prior to being captured and incorporated into the partially molten host CAI. Four major lithological units can be distinguished on the basis of their isotopic compositions. (1) Al-diopside-rich sinuous fragments, hereafter sinuous pyroxene, are 16O-rich (Δ17O ≤ -20‰) and have light Mg and Si isotopic compositions with mass fractionation down to -3.5‰/amu for both isotopic systems. We attribute these peculiar isotopic compositions to kinetic effects during condensation out of thermal equilibrium. (2) Spinel clusters are 16O-rich (Δ17O ∼ -22‰) and have Mg isotope systematics consistent with extensive equilibration with the host melt. This includes (i) δ25Mg values varying between + 2.6‰ and + 6.5‰ close to the typical value of host melilite at ∼+5‰, and (ii) evidence for exchange of radiogenic 26Mg with adjacent melilite as indicated by Al/Mg systematics. The spinel clusters may represent fine-grained spinel-rich proto-CAIs captured, partially melted, and recrystallized in the host melt. Al/Mg systematics indicate that both the sinuous pyroxene fragments and spinel clusters probably had canonical or near-canonical 26Al contents before partial equilibration. (3) The main CAI host (Δ17O ≤ -2‰) had a complex thermal history partially obscured by subsequent capture and assimilation events. Its formation, referred to as the "cryptic" stage, could have resulted from the partial melting and crystallization of a 16O-rich precursor that underwent 16O-depletion and a massive evaporation event characteristic of F and FUN CAIs (Fractionated with

  17. Oxygen Isotope Measurements of a Rare Murchison Type A CAI and Its Rim

    NASA Technical Reports Server (NTRS)

    Matzel, J. E. P.; Simon, J. I.; Hutcheon, I. D.; Jacobsen, B.; Simon, S. B.; Grossman, L.

    2013-01-01

    Ca-, Al-rich inclusions (CAIs) from CV chondrites commonly show oxygen isotope heterogeneity among different mineral phases within individual inclusions reflecting the complex history of CAIs in both the solar nebula and/or parent bodies. The degree of isotopic exchange is typically mineral-specific, yielding O-16-rich spinel, hibonite and pyroxene and O-16-depleted melilite and anorthite. Recent work demonstrated large and systematic variations in oxygen isotope composition within the margin and Wark-Lovering rim of an Allende Type A CAI. These variations suggest that some CV CAIs formed from several oxygen reservoirs and may reflect transport between distinct regions of the solar nebula or varying gas composition near the proto-Sun. Oxygen isotope compositions of CAIs from other, less-altered chondrites show less intra-CAI variability and 16O-rich compositions. The record of intra-CAI oxygen isotope variability in CM chondrites, which commonly show evidence for low-temperature aqueous alteration, is less clear, in part because the most common CAIs found in CM chondrites are mineralogically simple (hibonite +/- spinel or spinel +/- pyroxene) and are composed of minerals less susceptible to O-isotopic exchange. No measurements of the oxygen isotope compositions of rims on CAIs in CM chondrites have been reported. Here, we present oxygen isotope data from a rare, Type A CAI from the Murchison meteorite, MUM-1. The data were collected from melilite, hibonite, perovskite and spinel in a traverse into the interior of the CAI and from pyroxene, melilite, anorthite, and spinel in the Wark-Lovering rim. Our objectives were to (1) document any evidence for intra-CAI oxygen isotope variability; (2) determine the isotopic composition of the rim minerals and compare their composition(s) to the CAI interior; and (3) compare the MUM-1 data to oxygen isotope zoning profiles measured from CAIs in other chondrites.

  18. Formation of halogen-induced secondary organic aerosol (XOA)

    NASA Astrophysics Data System (ADS)

    Kamilli, Katharina; Ofner, Johannes; Zetzsch, Cornelius; Held, Andreas

    2013-04-01

    Reactive halogen species (RHS) are very important due to their potential of stratospheric ozone depletion and surface ozone destruction. RHS seem to interact with precursors of secondary organic aerosol (SOA) similarly to common atmospheric oxidants like OH radicals and ozone. The potential interaction of RHS with preformed SOA has recently been studied (Ofner et al., 2012). Although aerosol formation from reaction of RHS with typical SOA precursors was previously studied (e.g. Cai et al., 2006), no data are available on bromine-induced aerosol formation from organic precursors yet. An aerosol smog-chamber was used to examine the halogen-induced secondary organic aerosol (XOA) formation under atmospheric conditions using simulated sunlight. With a concentration of 10 ppb for the organic precursor, 2 ppb for molecular chlorine, and 10 ppb for molecular bromine, the experimental setup is close to ambient conditions. By combined measurements of the aerosol size distribution, ozone and NOx mixing ratios, as well as the decay of the organic precursor, aerosol yields and aerosol growth rates were determined. The decay of the organic precursor was analyzed by capillary gas chromatography coupled with flame-ionization detection (GC-FID) and the aerosol size distribution was measured using a Scanning Mobility Particle Sizer (SMPS). Additionally, with the decay rate of the precursor and the calculated photolysis rates of molecular halogen species, based on the well-known spectrum of the solar simulator, mechanistic details on the XOA formation pathways can be determined. We observed XOA formation even at very low precursor and RHS concentrations with a diameter mode at 10-20 nm and a number concentration up to 1000000 particles cm-3. While the XOA formation from chlorine is very rapid, the interaction of bromine with the organic precursors is about five times slower. The aerosol yield reached maximum values of 0.01 for the reaction of chlorine with α-pinene and 0.0004 for

  19. Validation of multi-angle imaging spectroradiometer aerosol products in China

    Treesearch

    J. Liu; X. Xia; Z. Li; P. Wang; M. Min; WeiMin Hao; Y. Wang; J. Xin; X. Li; Y. Zheng; Z. Chen

    2010-01-01

    Based on AErosol RObotic NETwork and Chinese Sun Hazemeter Network data, the Multi-angle Imaging SpectroRadiometer (MISR) level 2 aerosol optical depth (AOD) products are evaluated in China. The MISR retrievals depict well the temporal aerosol trend in China with correlation coefficients exceeding 0.8 except for stations located in northeast China and at the...

  20. Atmospheric aerosol profiling with a bistatic imaging lidar system.

    PubMed

    Barnes, John E; Sharma, N C Parikh; Kaplan, Trevor B

    2007-05-20

    Atmospheric aerosols have been profiled using a simple, imaging, bistatic lidar system. A vertical laser beam is imaged onto a charge-coupled-device camera from the ground to the zenith with a wide-angle lens (CLidar). The altitudes are derived geometrically from the position of the camera and laser with submeter resolution near the ground. The system requires no overlap correction needed in monostatic lidar systems and needs a much smaller dynamic range. Nighttime measurements of both molecular and aerosol scattering were made at Mauna Loa Observatory. The CLidar aerosol total scatter compares very well with a nephelometer measuring at 10 m above the ground. The results build on earlier work that compared purely molecular scattered light to theory, and detail instrument improvements.

  1. CAI System of Obunsha Co., Ltd. Using CD-ROM

    NASA Astrophysics Data System (ADS)

    Todokoro, Shigeru; Mukai, Yoshihiro

    This paper introduces the present status of R & D on CAI teaching materials in Obunsha Co., Ltd. Characteristics of CAI using CD-ROM as well as Culture-in CAI Teaching Materials System for junior high school English are described. The system consists of CD-ROM driver XM-2000 and Pasopia 700 of Toshiba Corporation having both features of CD-ROM and FD. CD-ROM stores vast amount of voice data while FD does text and graphics data. It is a frame-oriented mode system enabling to raise learning effect.

  2. The Vibrio cholerae quorum-sensing autoinducer CAI-1: analysis of the biosynthetic enzyme CqsA

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Kelly, R.; Bolitho, M; Higgins, D

    2009-01-01

    Vibrio cholerae, the bacterium that causes the disease cholera, controls virulence factor production and biofilm development in response to two extracellular quorum-sensing molecules, called autoinducers. The strongest autoinducer, called CAI-1 (for cholera autoinducer-1), was previously identified as (S)-3-hydroxytridecan-4-one. Biosynthesis of CAI-1 requires the enzyme CqsA. Here, we determine the CqsA reaction mechanism, identify the CqsA substrates as (S)-2-aminobutyrate and decanoyl coenzyme A, and demonstrate that the product of the reaction is 3-aminotridecan-4-one, dubbed amino-CAI-1. CqsA produces amino-CAI-1 by a pyridoxal phosphate-dependent acyl-CoA transferase reaction. Amino-CAI-1 is converted to CAI-1 in a subsequent step via a CqsA-independent mechanism. Consistent with this,more » we find cells release {ge}100 times more CAI-1 than amino-CAI-1. Nonetheless, V. cholerae responds to amino-CAI-1 as well as CAI-1, whereas other CAI-1 variants do not elicit a quorum-sensing response. Thus, both CAI-1 and amino-CAI-1 have potential as lead molecules in the development of an anticholera treatment.« less

  3. Structural basis of Na(+)-independent and cooperative substrate/product antiport in CaiT.

    PubMed

    Schulze, Sabrina; Köster, Stefan; Geldmacher, Ulrike; Terwisscha van Scheltinga, Anke C; Kühlbrandt, Werner

    2010-09-09

    Transport of solutes across biological membranes is performed by specialized secondary transport proteins in the lipid bilayer, and is essential for life. Here we report the structures of the sodium-independent carnitine/butyrobetaine antiporter CaiT from Proteus mirabilis (PmCaiT) at 2.3-A and from Escherichia coli (EcCaiT) at 3.5-A resolution. CaiT belongs to the family of betaine/carnitine/choline transporters (BCCT), which are mostly Na(+) or H(+) dependent, whereas EcCaiT is Na(+) and H(+) independent. The three-dimensional architecture of CaiT resembles that of the Na(+)-dependent transporters LeuT and BetP, but in CaiT a methionine sulphur takes the place of the Na(+) ion to coordinate the substrate in the central transport site, accounting for Na(+)-independent transport. Both CaiT structures show the fully open, inward-facing conformation, and thus complete the set of functional states that describe the alternating access mechanism. EcCaiT contains two bound butyrobetaine substrate molecules, one in the central transport site, the other in an extracellular binding pocket. In the structure of PmCaiT, a tryptophan side chain occupies the transport site, and access to the extracellular site is blocked. Binding of both substrates to CaiT reconstituted into proteoliposomes is cooperative, with Hill coefficients up to 1.7, indicating that the extracellular site is regulatory. We propose a mechanism whereby the occupied regulatory site increases the binding affinity of the transport site and initiates substrate translocation.

  4. Two Generations of Sodic Metasomatism in an Allende Type B CAI

    NASA Technical Reports Server (NTRS)

    Ross, D. K.; Simon, J. I.; Simon, S. B.; Grossman, L.

    2015-01-01

    Calcium-Aluminum rich inclusions (CAI) in Allende, along with other chondritic compo-nents, experienced variable amounts and types of alter-ation of their mineralogy and chemistry. In CAIs, one of the principal types of alteration led to the depo-sition of nepheline and sodalite. Here we extend initial obervations of alteration in an Allende CAI, focus-ing on occurences of nepheline and a nepheline-like phase with unusally high Ca (referred to as "calcic nepheline" in this abstract). Detailed petrographic and microchemical observations of alteration phases in an Allende Type B CAI (TS4) show that two separate generations of "nepheline", with very distinct composi-tions, crystallized around the margins and in the interi-or of this CAI. We use observations of micro-faults as potential temporal markers, in order to place constraints on the timing of alteration events in Allende. These observa-tions of micro-faulting that truncate and offset one gen-eration of "nepheline" indicate that some "nepheline" crystallized before incorporation of the CAI into the Allende parent-body. Some of the sodic metasomatism in some Allende CAIs occurred prior to Allende par-ent-body assembly. The earlier generation of "calcic-nepheline" has a very distinctive, calcium-rich compo-sition, and the second generation is low in calcium, and matches the compositions of nephelines found in near-by altered chondrules, and in the Allende matrix.

  5. Coordinated Oxygen Isotopic and Petrologic Studies of CAIS Record Varying Composition of Protosolar

    NASA Technical Reports Server (NTRS)

    Simon, Justin I.; Matzel, J. E. P.; Simon, S. B.; Weber, P. K.; Grossman, L.; Ross, D. K.; Hutcheon, I. D.

    2012-01-01

    Ca-, Al-rich inclusions (CAIs) record the O-isotope composition of Solar nebular gas from which they grew [1]. High spatial resolution O-isotope measurements afforded by ion microprobe analysis across the rims and margin of CAIs reveal systematic variations in (Delta)O-17 and suggest formation from a diversity of nebular environments [2-4]. This heterogeneity has been explained by isotopic mixing between the O-16-rich Solar reservoir [6] and a second O-16-poor reservoir (probably nebular gas) with a "planetary-like" isotopic composition [e.g., 1, 6-7], but the mechanism and location(s) where these events occur within the protoplanetary disk remain uncertain. The orientation of large and systematic variations in (Delta)O-17 reported by [3] for a compact Type A CAI from the Efremovka reduced CV3 chondrite differs dramatically from reports by [4] of a similar CAI, A37 from the Allende oxidized CV3 chondrite. Both studies conclude that CAIs were exposed to distinct, nebular O-isotope reservoirs, implying the transfer of CAIs among different settings within the protoplanetary disk [4]. To test this hypothesis further and the extent of intra-CAI O-isotopic variation, a pristine compact Type A CAI, Ef-1 from Efremovka, and a Type B2 CAI, TS4 from Allende were studied. Our new results are equally intriguing because, collectively, O-isotopic zoning patterns in the CAIs indicate a progressive and cyclic record. The results imply that CAIs were commonly exposed to multiple environments of distinct gas during their formation. Numerical models help constrain conditions and duration of these events.

  6. Personality preference influences medical student use of specific computer-aided instruction (CAI)

    PubMed Central

    McNulty, John A; Espiritu, Baltazar; Halsey, Martha; Mendez, Michelle

    2006-01-01

    Background The objective of this study was to test the hypothesis that personality preference, which can be related to learning style, influences individual utilization of CAI applications developed specifically for the undergraduate medical curriculum. Methods Personality preferences of students were obtained using the Myers-Briggs Type Indicator (MBTI) test. CAI utilization for individual students was collected from entry logs for two different web-based applications (a discussion forum and a tutorial) used in the basic science course on human anatomy. Individual login data were sorted by personality preference and the data statistically analyzed by 2-way mixed ANOVA and correlation. Results There was a wide discrepancy in the level and pattern of student use of both CAI. Although individual use of both CAI was positively correlated irrespective of MBTI preference, students with a "Sensing" preference tended to use both CAI applications more than the "iNtuitives". Differences in the level of use of these CAI applications (i.e., higher use of discussion forum vs. a tutorial) were also found for the "Perceiving/Judging" dimension. Conclusion We conclude that personality/learning preferences of individual students influence their use of CAI in the medical curriculum. PMID:16451719

  7. Laser Ablation-Aerosol Mass Spectrometry-Chemical Ionization Mass Spectrometry for Ambient Surface Imaging

    DOE PAGES

    Berry, Jennifer L.; Day, Douglas A.; Elseberg, Tim; ...

    2018-02-20

    Mass spectrometry imaging is becoming an increasingly common analytical technique due to its ability to provide spatially resolved chemical information. In this paper, we report a novel imaging approach combining laser ablation with two mass spectrometric techniques, aerosol mass spectrometry and chemical ionization mass spectrometry, separately and in parallel. Both mass spectrometric methods provide the fast response, rapid data acquisition, low detection limits, and high-resolution peak separation desirable for imaging complex samples. Additionally, the two techniques provide complementary information with aerosol mass spectrometry providing near universal detection of all aerosol molecules and chemical ionization mass spectrometry with a heated inletmore » providing molecular-level detail of both gases and aerosols. The two techniques operate with atmospheric pressure interfaces and require no matrix addition for ionization, allowing for samples to be investigated in their native state under ambient pressure conditions. We demonstrate the ability of laser ablation-aerosol mass spectrometry-chemical ionization mass spectrometry (LA-AMS-CIMS) to create 2D images of both standard compounds and complex mixtures. Finally, the results suggest that LA-AMS-CIMS, particularly when combined with advanced data analysis methods, could have broad applications in mass spectrometry imaging applications.« less

  8. Laser Ablation-Aerosol Mass Spectrometry-Chemical Ionization Mass Spectrometry for Ambient Surface Imaging

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Berry, Jennifer L.; Day, Douglas A.; Elseberg, Tim

    Mass spectrometry imaging is becoming an increasingly common analytical technique due to its ability to provide spatially resolved chemical information. In this paper, we report a novel imaging approach combining laser ablation with two mass spectrometric techniques, aerosol mass spectrometry and chemical ionization mass spectrometry, separately and in parallel. Both mass spectrometric methods provide the fast response, rapid data acquisition, low detection limits, and high-resolution peak separation desirable for imaging complex samples. Additionally, the two techniques provide complementary information with aerosol mass spectrometry providing near universal detection of all aerosol molecules and chemical ionization mass spectrometry with a heated inletmore » providing molecular-level detail of both gases and aerosols. The two techniques operate with atmospheric pressure interfaces and require no matrix addition for ionization, allowing for samples to be investigated in their native state under ambient pressure conditions. We demonstrate the ability of laser ablation-aerosol mass spectrometry-chemical ionization mass spectrometry (LA-AMS-CIMS) to create 2D images of both standard compounds and complex mixtures. Finally, the results suggest that LA-AMS-CIMS, particularly when combined with advanced data analysis methods, could have broad applications in mass spectrometry imaging applications.« less

  9. CAI: Overcoming Attitude Barriers.

    ERIC Educational Resources Information Center

    Netusil, Anton J.; Kockler, Lois H.

    During each of two school quarters, approximately 60 college students enrolled in a mathematics course were randomly assigned to an experimental group or a control group. The control group received instruction by the lecture method only; the experimental group received the same instruction, except that six computer-assisted instruction (CAI) units…

  10. The Relative Effectiveness of Computer Assisted Instruction (CAI) for Teaching Students To Read English.

    ERIC Educational Resources Information Center

    Thompson, Richard A.

    In a review of research on computer assisted instruction (CAI) related to reading, evidence collected provides tentative conclusions about CAI effectiveness. CAI was effective as an instructional medium in the surveyed studies. In a number of instances, CAI groups achieved higher scores than the control groups. Some studies indicated that CAI…

  11. An Intelligent CAI Monitor and Generative Tutor. Final Report.

    ERIC Educational Resources Information Center

    Koffman, Elliot B.; Perry, James

    This final report summarizes research findings and presents a model for generative computer assisted instruction (CAI) with respect to its usefulness in the classroom environment. Methods used to individualize instruction, and the evolution of a procedure used to select a concept for presentation to a student with the generative CAI system are…

  12. FIB-NanoSIMS-TEM Coordinated Study of a Wark-Lovering Rim in a Vigarano Type A CAI

    NASA Technical Reports Server (NTRS)

    Cai, A.; Ito, M.; Keller, L. P.; Ross, D. K.; Nakamura-Messenger, K.

    2010-01-01

    Wark-Lovering (WL) rims are thin multi layered mineral sequences that surround most Ca, Al-rich inclusions (CAIs). Unaltered WL rims are composed of the same primary high temperature minerals as CAIs, such as melilite, spinel, pyroxene, hibonite, perovskite, anorthite and olivine. It is still unclear whether the rim minerals represent a different generation formed by a separate event from their associated CAIs or are a byproduct of CAI formation. Several models have been proposed for the origins of WL rims including condensation, flashheating, reaction of a CAI with a Mg-Si-rich reservoir (nebular gas or solid); on the basis of mineralogy, abundances of trace elements, O and Mg isotopic studies. Detailed mineralogical characterizations of WL rims at micrometer to nanometer scales have been obtained by TEM observations, but so far no coordinated isotopic - mineralogical studies have been performed. Thus, we have applied an O isotopic imaging technique by NanoSIMS 50L to investigate heterogeneous distributions of O isotopic ratios in minerals within a cross section of a WL rim prepared using a focused ion beam (FIB) instrument. After the isotopic measurements, we determine the detailed mineralogy and microstructure of the same WL FIB section to gain insight into its petrogenesis. Here we present preliminary results from O isotopic and elemental maps by NanoSIMS and mineralogical analysis by FE-SEM of a FIB section of a WL rim in the Vigarano reduced CV3 chondrite.

  13. Effectiveness of CAI Package on Achievement in Physics of IX Standard Students

    ERIC Educational Resources Information Center

    Maheswari, I. Uma; Ramakrishnan, N.

    2015-01-01

    The present study is an experimental one in nature, to find out the effectiveness of CAI package on in Physics of IX std. students. For this purpose a CAI package was developed and validated. The validated CAI package formed an independent variable of this study. The dependent variable is students' achievements in physics content. In order to find…

  14. Search for 41K Excess in Efremovka CAIs

    NASA Astrophysics Data System (ADS)

    Srinivasan, G.; Ulyanov, A. A.; Goswami, J. N.

    1993-07-01

    We have used the ion microprobe to measure K isotopic composition of refractory phases in Efremovka CAIs to look for the possible presence of K excess from the decay of extinct radionuclide Ca (halflife = 0.13 Ma). The presence of Ca at the time of CAI formation, if established, will allow us to place a lower limit on the time interval between the last injection of freshly synthesized matter into the solar nebula and the formation of some of the first solid objects (CAIs) in the solar system. Several attempts have been made earlier to detect 41K excess in Allende CAIs [1-4]. We have further investigated this problem by analyzing the Efremovka CAIs for two reasons. First, both the petrographic and magnesium isotopic systematics suggest the Efremovka CAIs to be less altered compared to the Allende CAIs making them an ideal and perhaps better sample for this study. Second, the presence of large perovskite (~10 micrometers) allowed us to analyse this phase, which was not included in earlier studies. The major difficulty in accurately measuring 41K, which was identified in earlier studies, is the unresolvable (40Ca42Ca)++ interference, which was found to be matrix dependent [4]. In addition, one can also have interfernce from the (40CaH)+ peak. In our operating condition the interference from the hydride peak can be neglected (Fig. 1, which appears in the hard copy). We have analyzed terrestrial perovskite (K <= 20 ppm) to determine the (40Ca42Ca)++ correction term, and its equivalence with (40Ca43Ca)++ ion signal at mass 41.5 [4]. In perovskite, the (40Ca42Ca)++ signal constitutes ~80% of the signal at 41K and we could estimate this interference with confidence. A value of (2.7 +- 0.1) x 10^-5 was obtained for the ratio [(40Ca42Ca)++/42Ca+], which is similar to the measured [(40Ca43Ca)++/43Ca+] ratio of (2.4 +- 0.2) x 10^-5. We have therefore used the measured value for the latter ratio in the analyzed phases to correct for the doubly charged interference at mass 41

  15. Mechanical delivery of aerosolized gadolinium-DTPA for pulmonary ventilation assessment in MR imaging.

    PubMed

    Haage, P; Adam, G; Karaagac, S; Pfeffer, J; Glowinski, A; Döhmen, S; Günther, R W

    2001-04-01

    To evaluate a new technique with mechanical administration of aerosolized gadolinium (Gd)-DTPA for MR visualization of lung ventilation. Ten experimental procedures were performed in six domestic pigs. Gd-DTPA was aerosolized by a small-particle generator. The intubated animals were mechanically aerosolized with the nebulized contrast agent and studied on a 1.5-T MR imager. Respiratory gated T1-weighted turbo spin-echo images were obtained before, during, and after contrast administration. Pulmonary signal intensity (SI) changes were calculated for corresponding regions of both lungs. Homogeneity of aerosol distribution was graded independently by two radiologists. To achieve a comparable SI increase as attained in previous trials that used manual aerosol ventilation, a ventilation period of 20 minutes (formerly 30 minutes) was sufficient. Mean SI changes of 116% were observed after that duration. Contrast delivery was rated evenly distributed in all cases by the reviewers. The feasibility of applying Gd-DTPA as a contrast agent to demonstrate pulmonary ventilation in large animals has been described before. The results of this refined technique substantiate the potential of Gd-based ventilation MR imaging by improving aerosol distribution and shortening the nebulization duration in the healthy lung.

  16. A ryanodine receptor-dependent Ca(i)(2+) asymmetry at Hensen's node mediates avian lateral identity.

    PubMed

    Garic-Stankovic, Ana; Hernandez, Marcos; Flentke, George R; Zile, Maija H; Smith, Susan M

    2008-10-01

    In mouse, the establishment of left-right (LR) asymmetry requires intracellular calcium (Ca(i)(2+)) enrichment on the left of the node. The use of Ca(i)(2+) asymmetry by other vertebrates, and its origins and relationship to other laterality effectors are largely unknown. Additionally, the architecture of Hensen's node raises doubts as to whether Ca(i)(2+) asymmetry is a broadly conserved mechanism to achieve laterality. We report here that the avian embryo uses a left-side enriched Ca(i)(2+) asymmetry across Hensen's node to govern its lateral identity. Elevated Ca(i)(2+) was first detected along the anterior node at early HH4, and its emergence and left-side enrichment by HH5 required both ryanodine receptor (RyR) activity and extracellular calcium, implicating calcium-induced calcium release (CICR) as the novel source of the Ca(i)(2+). Targeted manipulation of node Ca(i)(2+) randomized heart laterality and affected nodal expression. Bifurcation of the Ca(i)(2+) field by the emerging prechordal plate may permit the independent regulation of LR Ca(i)(2+) levels. To the left of the node, RyR/CICR and H(+)V-ATPase activity sustained elevated Ca(i)(2+). On the right, Ca(i)(2+) levels were actively repressed through the activities of H(+)K(+) ATPase and serotonin-dependent signaling, thus identifying a novel mechanism for the known effects of serotonin on laterality. Vitamin A-deficient quail have a high incidence of situs inversus hearts and had a reversed calcium asymmetry. Thus, Ca(i)(2+) asymmetry across the node represents a more broadly conserved mechanism for laterality among amniotes than had been previously believed.

  17. Fluorescence lifetime imaging of optically levitated aerosol: a technique to quantitatively map the viscosity of suspended aerosol particles.

    PubMed

    Fitzgerald, C; Hosny, N A; Tong, H; Seville, P C; Gallimore, P J; Davidson, N M; Athanasiadis, A; Botchway, S W; Ward, A D; Kalberer, M; Kuimova, M K; Pope, F D

    2016-08-21

    We describe a technique to measure the viscosity of stably levitated single micron-sized aerosol particles. Particle levitation allows the aerosol phase to be probed in the absence of potentially artefact-causing surfaces. To achieve this feat, we combined two laser based techniques: optical trapping for aerosol particle levitation, using a counter-propagating laser beam configuration, and fluorescent lifetime imaging microscopy (FLIM) of molecular rotors for the measurement of viscosity within the particle. Unlike other techniques used to measure aerosol particle viscosity, this allows for the non-destructive probing of viscosity of aerosol particles without interference from surfaces. The well-described viscosity of sucrose aerosol, under a range of relative humidity conditions, is used to validate the technique. Furthermore we investigate a pharmaceutically-relevant mixture of sodium chloride and salbutamol sulphate under humidities representative of in vivo drug inhalation. Finally, we provide a methodology for incorporating molecular rotors into already levitated particles, thereby making the FLIM/optical trapping technique applicable to real world aerosol systems, such as atmospheric aerosols and those generated by pharmaceutical inhalers.

  18. A phase I trial of pharmacokinetic modulation of carboxyamidotriazole (CAI) with ketoconazole in patients with advanced cancer.

    PubMed

    Desai, Apurva A; Innocenti, Federico; Janisch, Linda; DeMario, Mark; Shepard, Dale; Ramirez, Jacqueline; Fleming, Gini F; Ratain, Mark J

    2004-11-01

    Carboxyamidotriazole (CAI) is a novel antineoplastic agent in clinical development with limited oral bioavailability. In vitro, ketoconazole has been demonstrated to inhibit CYP3A4-mediated metabolism of CAI. We performed this phase I trial to determine if ketoconazole-mediated CYP3A4 inhibition would lead to favorable alteration of CAI pharmacokinetics, and to evaluate the safety, toxicity and tolerability of the proposed combination. Forty-seven patients were treated using a standard three patients per cohort CAI dose-escalation scheme. In cycle 1, CAI was administered alone on day-6 followed by a single dose of ketoconazole (200 mg) on day 0. CAI and ketoconazole (200 mg/day) were subsequently coadministered on days 1 and 3-28. Plasma samples for pharmacokinetic analysis were obtained following the doses on days-6 and 1. All subsequent cycles were of 28-day duration, and consisted of daily CAI and ketoconazole coadministration. Pharmacokinetic analysis was performed on samples from 44 patients. In most patients administration of ketoconazole produced an increase in CAI AUC and Cmax with a decrease in CAI clearance. Seven patients experienced stable disease for up to 12 months. Gastrointestinal and constitutional toxicities were the most common toxicities. Coadministration of CAI with ketoconazole increased CAI exposure in most of the patients without altering the toxicity profile of CAI. The highest CAI dose administered on the trial was 300 mg/day. The clinical utility of such a modulation strategy might be explored in future clinical trials of CAI.

  19. Experimental Determination of Li, Be and B Partitioning During CAI Crystallization

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Ryerson, F J; Brenan, J M; Phinney, D L

    2005-01-12

    The main focus of the work is to develop a better understanding of the distribution of the elements B, Be and Li in melilite, fassaitic clinop clinopy-roxene, anorthite and spinel, which are the primary constituents of calcium-aluminum-rich inclusions (CAIs). These elements are the parent or decay products of short-lived nuclides (specifically, {sup 7}Be and {sup 10}Be) formed by cosmic ray spallation reactions on silicon and oxygen. Recent observations suggest that some CAIs contain ''fossil'' {sup 7}Be and {sup 10}Be in the form of ''excess'' amounts of their decay products (B and Li). The exact timing of {sup 7}Be and {supmore » 10}Be production is unknown, but if it occurred early in CAI history, it could constrain the birthplace of CAIs to be within a limited region near the infant sun. Other interpretations are possible, however, and bear little significance to early CAI genesis. In order to interpret the anomalies as being ''primary'', and thus originating at high temperature, information on the intermineral partitioning of both parent and daughter elements is required.« less

  20. Detecting Thin Cirrus in Multiangle Imaging Spectroradiometer Aerosol Retrievals

    NASA Technical Reports Server (NTRS)

    Pierce, Jeffrey R.; Kahn, Ralph A.; Davis, Matt R.; Comstock, Jennifer M.

    2010-01-01

    Thin cirrus clouds (optical depth (OD) < 03) are often undetected by standard cloud masking in satellite aerosol retrieval algorithms. However, the Mu]tiangle Imaging Spectroradiometer (MISR) aerosol retrieval has the potential to discriminate between the scattering phase functions of cirrus and aerosols, thus separating these components. Theoretical tests show that MISR is sensitive to cirrus OD within Max{0.05 1 20%l, similar to MISR's sensitivity to aerosol OD, and MISR can distinguish between small and large crystals, even at low latitudes, where the range of scattering angles observed by MISR is smallest. Including just two cirrus components in the aerosol retrieval algorithm would capture typical MISR sensitivity to the natural range of cinus properties; in situations where cirrus is present but the retrieval comparison space lacks these components, the retrieval tends to underestimate OD. Generally, MISR can also distinguish between cirrus and common aerosol types when the proper cirrus and aerosol optical models are included in the retrieval comparison space and total column OD is >-0.2. However, in some cases, especially at low latitudes, cirrus can be mistaken for some combinations of dust and large nonabsorbing spherical aerosols, raising a caution about retrievals in dusty marine regions when cirrus is present. Comparisons of MISR with lidar and Aerosol Robotic Network show good agreement in a majority of the cases, but situations where cirrus clouds have optical depths >0.15 and are horizontally inhomogeneous on spatial scales shorter than 50 km pose difficulties for cirrus retrieval using the MISR standard aerosol algorithm..

  1. Effect of CAI on Achievement of LD Students in English

    ERIC Educational Resources Information Center

    Sivaram, R. T.; Ramar, R.

    2014-01-01

    The present experimental study was undertaken with three objectives in view, (i) to identify students with language learning disabilities (ii) to develop CAI software to teach LD students through computer-assisted instruction and (iii) to measure the effectiveness of CAI with special reference to LD students. Two matched groups of LD students were…

  2. An Object-Oriented Architecture for a Web-Based CAI System.

    ERIC Educational Resources Information Center

    Nakabayashi, Kiyoshi; Hoshide, Takahide; Seshimo, Hitoshi; Fukuhara, Yoshimi

    This paper describes the design and implementation of an object-oriented World Wide Web-based CAI (Computer-Assisted Instruction) system. The goal of the design is to provide a flexible CAI/ITS (Intelligent Tutoring System) framework with full extendibility and reusability, as well as to exploit Web-based software technologies such as JAVA, ASP (a…

  3. CAI-BASIC: A Program to Teach the Programming Language BASIC.

    ERIC Educational Resources Information Center

    Barry, Thomas Anthony

    A computer-assisted instruction (CAI) program was designed which fulfills the objectives of teaching a simple programing language, interpreting student responses, and executing and editing student programs. The CAI-BASIC program is written in FORTRAN IV and executes on IBM-2741 terminals while running under a time-sharing system on an IBM-360-70…

  4. Oxygen isotope variations at the margin of a CAI records circulation within the solar nebula.

    PubMed

    Simon, Justin I; Hutcheon, Ian D; Simon, Steven B; Matzel, Jennifer E P; Ramon, Erick C; Weber, Peter K; Grossman, Lawrence; DePaolo, Donald J

    2011-03-04

    Micrometer-scale analyses of a calcium-, aluminum-rich inclusion (CAI) and the characteristic mineral bands mantling the CAI reveal that the outer parts of this primitive object have a large range of oxygen isotope compositions. The variations are systematic; the relative abundance of (16)O first decreases toward the CAI margin, approaching a planetary-like isotopic composition, then shifts to extremely (16)O-rich compositions through the surrounding rim. The variability implies that CAIs probably formed from several oxygen reservoirs. The observations support early and short-lived fluctuations of the environment in which CAIs formed, either because of transport of the CAIs themselves to distinct regions of the solar nebula or because of varying gas composition near the proto-Sun.

  5. Microstructural Investigation of a Wark-Lovering Rim on a Vigarano CAI

    NASA Technical Reports Server (NTRS)

    Han, J.; Keller, L. P.; Needham, A. W.; Messenger, S.; Simon, J. I.

    2015-01-01

    Wark-Lovering (WL) rims are thin multi-layered mineral sequences that surround many CAIs. These rim layers consist of the primary minerals found in the CAI interiors, but vary in their mineralogy. Several models for their origin have been proposed including condensation, reaction with a nebular gas, evaporation, or combinations of these. However, there still is little consensus on how and when the rims formed. Here, we describe the microstructure and mineralogy of a WL rim on a type B CAI from the Vigarano CV(sub red) chondrite using FIB/TEM to better understand the astrophysical significance of WL rim formation.

  6. CAI in Advanced Literature Class.

    ERIC Educational Resources Information Center

    Hinton, Norman

    1981-01-01

    Ways that computer assisted instruction (CAI) can be useful in teaching English at upperclass and graduate levels are considered, with illustrations from PLATO lessons that have been composed and programmed. One lesson takes advantage of PLATO's graphic design capabilities, which enabled the teacher to design the runic figures and to show them in…

  7. Application of simple all-sky imagers for the estimation of aerosol optical depth

    NASA Astrophysics Data System (ADS)

    Kazantzidis, Andreas; Tzoumanikas, Panagiotis; Nikitidou, Efterpi; Salamalikis, Vasileios; Wilbert, Stefan; Prahl, Christoph

    2017-06-01

    Aerosol optical depth is a key atmospheric constituent for direct normal irradiance calculations at concentrating solar power plants. However, aerosol optical depth is typically not measured at the solar plants for financial reasons. With the recent introduction of all-sky imagers for the nowcasting of direct normal irradiance at the plants a new instrument is available which can be used for the determination of aerosol optical depth at different wavelengths. In this study, we are based on Red, Green and Blue intensities/radiances and calculations of the saturated area around the Sun, both derived from all-sky images taken with a low-cost surveillance camera at the Plataforma Solar de Almeria, Spain. The aerosol optical depth at 440, 500 and 675nm is calculated. The results are compared with collocated aerosol optical measurements and the mean/median difference and standard deviation are less than 0.01 and 0.03 respectively at all wavelengths.

  8. Aerosol retrieval for APEX airborne imaging spectrometer: a preliminary analysis

    NASA Astrophysics Data System (ADS)

    Seidel, Felix; Nieke, Jens; Schläpfer, Daniel; Höller, Robert; von Hoyningen-Huene, Wolfgang; Itten, Klaus

    2005-10-01

    In order to achieve quantitative measurements of the Earth's surface radiance and reflectance, it is important to determine the aerosol optical thickness (AOT) to correct for the optical influence of atmospheric particles. An advanced method for aerosol detection and quantification is required, which is not strongly dependant on disturbing effects due to surface reflectance, gas absorption and Rayleigh scattering features. A short review of existing applicable methods to the APEX airborne imaging spectrometer (380nm to 2500nm), leads to the suggested aerosol retrieval method here in this paper. It will measure the distinct radiance change between two near-UV spectral bands (385nm & 412nm) due to aerosol induced scattering and absorption features. Atmospheric radiation transfer model calculations have been used to analyze the AOT retrieval capability and accuracy of APEX. The noise-equivalent differential AOT is presented along with the retrieval sensitivity to various input variables. It is shown, that the suggested method will be able to identify different aerosol model types and measure AOT and columnar size distribution. The proposed accurate AOT determination will lead to a unique opportunity of two-dimensional pixel-wise mapping of aerosol properties at a high spatial resolution. This will be helpful especially for regional climate studies, atmospheric pollution monitoring and for the improvement of aerosol dispersion models and the validation of aerosol algorithms on spaceborne sensors.

  9. A multielement isotopic study of refractory FUN and F CAIs: Mass-dependent and mass-independent isotope effects

    NASA Astrophysics Data System (ADS)

    Kööp, Levke; Nakashima, Daisuke; Heck, Philipp R.; Kita, Noriko T.; Tenner, Travis J.; Krot, Alexander N.; Nagashima, Kazuhide; Park, Changkun; Davis, Andrew M.

    2018-01-01

    Calcium-aluminum-rich inclusions (CAIs) are the oldest dated objects that formed inside the Solar System. Among these are rare, enigmatic objects with large mass-dependent fractionation effects (F CAIs), which sometimes also have large nucleosynthetic anomalies and a low initial abundance of the short-lived radionuclide 26Al (FUN CAIs). We have studied seven refractory hibonite-rich CAIs and one grossite-rich CAI from the Murchison (CM2) meteorite for their oxygen, calcium, and titanium isotopic compositions. The 26Al-26Mg system was also studied in seven of these CAIs. We found mass-dependent heavy isotope enrichment in all measured elements, but never simultaneously in the same CAI. The data are hard to reconcile with a single-stage melt evaporation origin and may require reintroduction or reequilibration for magnesium, oxygen and titanium after evaporation for some of the studied CAIs. The initial 26Al/27Al ratios inferred from model isochrons span a range from <1 × 10-6 to canonical (∼5 × 10-5). The CAIs show a mutual exclusivity relationship between inferred incorporation of live 26Al and the presence of resolvable anomalies in 48Ca and 50Ti. Furthermore, a relationship exists between 26Al incorporation and Δ17O in the hibonite-rich CAIs (i.e., 26Al-free CAIs have resolved variations in Δ17O, while CAIs with resolved 26Mg excesses have Δ17O values close to -23‰). Only the grossite-rich CAI has a relatively enhanced Δ17O value (∼-17‰) in spite of a near-canonical 26Al/27Al. We interpret these data as indicating that fractionated hibonite-rich CAIs formed over an extended time period and sampled multiple stages in the isotopic evolution of the solar nebula, including: (1) an 26Al-poor nebula with large positive and negative anomalies in 48Ca and 50Ti and variable Δ17O; (2) a stage of 26Al-admixture, during which anomalies in 48Ca and 50Ti had been largely diluted and a Δ17O value of ∼-23‰ had been achieved in the CAI formation region; and (3

  10. Closed system oxygen isotope redistribution in igneous CAIs upon spinel dissolution

    NASA Astrophysics Data System (ADS)

    Aléon, Jérôme

    2018-01-01

    In several Calcium-Aluminum-rich Inclusions (CAIs) from the CV3 chondrites Allende and Efremovka, representative of the most common igneous CAI types (type A, type B and Fractionated with Unknown Nuclear isotopic anomalies, FUN), the relationship between 16O-excesses and TiO2 content in pyroxene indicates that the latter commonly begins to crystallize with a near-terrestrial 16O-poor composition and becomes 16O-enriched during crystallization, reaching a near-solar composition. Mass balance calculations were performed to investigate the contribution of spinel to this 16O-enrichment. It is found that a back-reaction of early-crystallized 16O-rich spinel with a silicate partial melt having undergone a 16O-depletion is consistent with the O isotopic evolution of CAI minerals during magmatic crystallization. Dissolution of spinel explains the O isotopic composition (16O-excess and extent of mass fractionation) of pyroxene as well as that of primary anorthite/dmisteinbergite and possibly that of the last melilite crystallizing immediately before pyroxene. It requires that igneous CAIs behaved as closed-systems relative to oxygen from nebular gas during a significant fraction of their cooling history, contrary to the common assumption that CAI partial melts constantly equilibrated with gas. The mineralogical control on O isotopes in igneous CAIs is thus simply explained by a single 16O-depletion during magmatic crystallization. This 16O-depletion occurred in an early stage of the thermal history, after the crystallization of spinel, i.e. in the temperature range for melilite crystallization/partial melting and did not require multiple, complex or late isotope exchange. More experimental work is however required to deduce the protoplanetary disk conditions associated with this 16O-depletion.

  11. Cognitive Assessment Interview (CAI): Validity as a co-primary measure of cognition across phases of schizophrenia.

    PubMed

    Ventura, Joseph; Subotnik, Kenneth L; Ered, Arielle; Hellemann, Gerhard S; Nuechterlein, Keith H

    2016-04-01

    Progress has been made in developing interview-based measures for the assessment of cognitive functioning, such as the Cognitive Assessment Interview (CAI), as co-primary measures that compliment objective neurocognitive assessments and daily functioning. However, a few questions remain, including whether the relationships with objective cognitive measures and daily functioning are high enough to justify the CAI as an co-primary measure and whether patient-only assessments are valid. Participants were first-episode schizophrenia patients (n=60) and demographically-similar healthy controls (n=35), chronic schizophrenia patients (n=38) and demographically similar healthy controls (n=19). Participants were assessed at baseline with an interview-based measure of cognitive functioning (CAI), a test of objective cognitive functioning, functional capacity, and role functioning at baseline, and in the first episode patients again 6 months later (n=28). CAI ratings were correlated with objective cognitive functioning, functional capacity, and functional outcomes in first-episode schizophrenia patients at similar magnitudes as in chronic patients. Comparisons of first-episode and chronic patients with healthy controls indicated that the CAI sensitively detected deficits in schizophrenia. The relationship of CAI Patient-Only ratings with objective cognitive functioning, functional capacity, and daily functioning were comparable to CAI Rater scores that included informant information. These results confirm in an independent sample the relationship of the CAI ratings with objectively measured cognition, functional capacity, and role functioning. Comparison of schizophrenia patients with healthy controls further validates the CAI as an co-primary measure of cognitive deficits. Also, CAI change scores were strongly related to objective cognitive change indicating sensitivity to change. Copyright © 2016 Elsevier B.V. All rights reserved.

  12. Fine-Gained CAIs in Comet Samples: Moderate Refractory Character and Comparison to Small Refractory Inclusions in Chondrites

    NASA Technical Reports Server (NTRS)

    Joswiak, D. J.; Brownlee, D. E.; Nguyen, A. N.; Messenger, S

    2017-01-01

    Examination of >200 comet Wild 2 particles collected by the Stardust (SD) mission shows that the CAI abundance of comet Wild 2's rocky material is near 1% and that nearly 50% of all bulbous tracks will contain at least one recognizable CAI fragment. A similar abundance to Wild 2 is found in a giant cluster IDP thought to be of cometary origin. The properties of these CAIs and their comparison with meteoritic CAIs provide important clues on the role of CAIs in the early Solar System (SS) and how they were transported to the edge of the solar nebula where Kuiper Belt comets formed. Previously, only two CAIs in comet Wild 2 had been identified and studied in detail. Here we present 2 new Wild 2 CAIs and 2 from a giant cluster cometary IDP, describe their mineralogical characteristics and show that they are most analogous to nodules in spinel-rich, fine-grained inclusions (FGIs) observed in CV3 and other chondrites. Additionally, we present new O isotope measurements from one CAI from comet Wild 2 and show that its oxygen isotopic composition is similar to some FGIs. This is only the second CAI from Wild 2 in which O isotopes have been measured.

  13. Comparison of Coincident Multiangle Imaging Spectroradiometer and Moderate Resolution Imaging Spectroradiometer Aerosol Optical Depths over Land and Ocean Scenes Containing Aerosol Robotic Network Sites

    NASA Technical Reports Server (NTRS)

    Abdou, Wedad A.; Diner, David J.; Martonchik, John V.; Bruegge, Carol J.; Kahn, Ralph A.; Gaitley, Barbara J.; Crean, Kathleen A.; Remer, Lorraine A.; Holben, Brent

    2005-01-01

    The Multiangle Imaging Spectroradiometer (MISR) and the Moderate Resolution Imaging Spectroradiometer (MODIS), launched on 18 December 1999 aboard the Terra spacecraft, are making global observations of top-of-atmosphere (TOA) radiances. Aerosol optical depths and particle properties are independently retrieved from these radiances using methodologies and algorithms that make use of the instruments corresponding designs. This paper compares instantaneous optical depths retrieved from simultaneous and collocated radiances measured by the two instruments at locations containing sites within the Aerosol Robotic Network (AERONET). A set of 318 MISR and MODIS images, obtained during the months of March, June, and September 2002 at 62 AERONET sites, were used in this study. The results show that over land, MODIS aerosol optical depths at 470 and 660 nm are larger than those retrieved from MISR by about 35% and 10% on average, respectively, when all land surface types are included in the regression. The differences decrease when coastal and desert areas are excluded. For optical depths retrieved over ocean, MISR is on average about 0.1 and 0.05 higher than MODIS in the 470 and 660 nm bands, respectively. Part of this difference is due to radiometric calibration and is reduced to about 0.01 and 0.03 when recently derived band-to-band adjustments in the MISR radiometry are incorporated. Comparisons with AERONET data show similar patterns.

  14. Silicon Isotopic Fractionation of CAI-like Vacuum Evaporation Residues

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Knight, K; Kita, N; Mendybaev, R

    2009-06-18

    Calcium-, aluminum-rich inclusions (CAIs) are often enriched in the heavy isotopes of magnesium and silicon relative to bulk solar system materials. It is likely that these isotopic enrichments resulted from evaporative mass loss of magnesium and silicon from early solar system condensates while they were molten during one or more high-temperature reheating events. Quantitative interpretation of these enrichments requires laboratory determinations of the evaporation kinetics and associated isotopic fractionation effects for these elements. The experimental data for the kinetics of evaporation of magnesium and silicon and the evaporative isotopic fractionation of magnesium is reasonably complete for Type B CAI liquidsmore » (Richter et al., 2002, 2007a). However, the isotopic fractionation factor for silicon evaporating from such liquids has not been as extensively studied. Here we report new ion microprobe silicon isotopic measurements of residual glass from partial evaporation of Type B CAI liquids into vacuum. The silicon isotopic fractionation is reported as a kinetic fractionation factor, {alpha}{sub Si}, corresponding to the ratio of the silicon isotopic composition of the evaporation flux to that of the residual silicate liquid. For CAI-like melts, we find that {alpha}{sub Si} = 0.98985 {+-} 0.00044 (2{sigma}) for {sup 29}Si/{sup 28}Si with no resolvable variation with temperature over the temperature range of the experiments, 1600-1900 C. This value is different from what has been reported for evaporation of liquid Mg{sub 2}SiO{sub 4} (Davis et al., 1990) and of a melt with CI chondritic proportions of the major elements (Wang et al., 2001). There appears to be some compositional control on {alpha}{sub Si}, whereas no compositional effects have been reported for {alpha}{sub Mg}. We use the values of {alpha}Si and {alpha}Mg, to calculate the chemical compositions of the unevaporated precursors of a number of isotopically fractionated CAIs from CV chondrites

  15. Micro-CAI in Education: Some Considerations.

    ERIC Educational Resources Information Center

    Majsterek, David

    This paper focuses on the applications which best suit the microcomputer in an educational setting with emphasis on adapting effective pedagogical practice to the computer's programability and delivery capabilities. Discovery learning and "being told" are identified as two types of computer assisted instruction (CAI) and sample uses of…

  16. CAI System with Multi-Media Text Through Web Browser for NC Lathe Programming

    NASA Astrophysics Data System (ADS)

    Mizugaki, Yoshio; Kikkawa, Koichi; Mizui, Masahiko; Kamijo, Keisuke

    A new Computer Aided Instruction (CAI) system for NC lathe programming has been developed with use of multi-media texts including movies, animations, pictures, sound and texts through Web browser. Although many CAI systems developed previously for NC programming consist of text-based instructions, it is difficult for beginners to learn NC programming with use of them. In the developed CAI system, multi-media texts are adopted for the help of users' understanding, and it is available through Web browser anytime and anywhere. Also the error log is automatically recorded for the future references. According to the NC programming coded by a user, the movement of the NC lathe is animated and shown in the monitor screen in front of the user. If its movement causes the collision between a cutting tool and the lathe, some sound and the caution remark are generated. If the user makes mistakes some times at a certain stage in learning NC, the corresponding suggestion is shown in the form of movies, animations, and so forth. By using the multimedia texts, users' attention is kept concentrated during a training course. In this paper, the configuration of the CAI system is explained and the actual procedures for users to learn the NC programming are also explained too. Some beginners tested this CAI system and their results are illustrated and discussed from the viewpoint of the efficiency and usefulness of this CAI system. A brief conclusion is also mentioned.

  17. Chronology of chrondrule and CAI formation: Mg-Al isotopic evidence

    NASA Technical Reports Server (NTRS)

    Macpherson, G. J.; Davis, A. M.

    1994-01-01

    Details of the chondrule and Ca-Al-rich inclusion (CAI) formation during the earliest history of the solar system are imperfectly known. Because CAI's are more 'refractory' than ferromagnesian chondrules and have the lowest recorded initial Sr-87/Sr-86 ratios of any solar system materials, the expectation is that CAI's formed earlier than chondrules. But it is not known, for example, if CAI formation had stopped by the time chondrule formation began. Conventional (absolute) age-dating techniques cannot adequately resolve small age differences (less than 10(exp 6) years) between objects of such antiquity. One approach has been to look at systematic differences in the daughter products of short-lived radionuclides such as Al-26 and I-129. Unfortunately, neither system appears to be 'well-behaved.' One possible reason for this circumstance is that later secondary events have partially reset the isotopic systems, but a viable alternative continues to be large-scale (nebular) heterogeneity in initial isotopic abundances, which would of course render the systems nearly useless as chronometers. In the past two years the nature of this problem has been redefined somewhat. Examination of the Al-Mg isotopic database for all CAI's suggests that the vast majority of inclusions originally had the same initial Al-26/Al-27 abundance ratio, and that the ill-behaved isotopic systematics now observed are the results of later partial reequilibration due to thermal processing. Isotopic heterogeneities did exist in the nebula, as demonstrated by the existence of so-called FUN inclusions in CV3 chondrites and isotopically anomalous hibonite grains in CM2 chondrites, which had little or no live Al-26 at the time of their formation. But, among the population of CV3 inclusions at least, FUN inclusions appear to have been a relatively minor nebular component.

  18. Individual Differences in Learner Controlled CAI.

    ERIC Educational Resources Information Center

    Judd, Wilson A.; And Others

    Two assumptions in support of learner-controlled computer-assisted instruction (CAI) are that (1) instruction administered under learner control will be less aversive than if administered under program control, and (2) the student is sufficiently aware of his learning state to make, in most instances, his own instructional decisions. Some 130…

  19. INAA of CAIs from the Maralinga CK4 chondrite: Effects of parent body thermal metamorphism

    NASA Technical Reports Server (NTRS)

    Lindstrom, D. J.; Keller, L. P.; Martinez, R. R.

    1993-01-01

    Maralinga is an anomalous CK4 carbonaceous chondrite which contains numerous Ca-, Al-rich inclusions (CAI's) unlike the other members of the CK group. These CAI's are characterized by abundant green hercynitic spinel intergrown with plagioclase and high-Ca clinopyroxene, and a total lack of melilite. Instrumental Neutron Activation Analysis (INAA) was used to further characterize the meteorite, with special focus on the CAI's. High sensitivity INAA was done on eight sample disks about 100-150 microns in diameter obtained from a normal 30 micron thin section with a diamond microcoring device. The CAI's are enriched by 60-70X bulk meteorite values in Zn, suggesting that the substantial exchange of Fe for Mg that made the spinel in the CAI's hercynitic also allowed efficient scavenging of Zn from the rest of the meteorite during parent body thermal metamorphism. Less mobile elements appear to have maintained their initial heterogeneity.

  20. Atmosphere aerosol satellite project Aerosol-UA

    NASA Astrophysics Data System (ADS)

    Milinevsky, Gennadi; Yatskiv, Yaroslav; Syniavskyi, Ivan; Bovchaliuk, Andrii; Degtyaryov, Oleksandr; Sosonkin, Mikhail; Mishchenko, Michael; Danylevsky, Vassyl; Ivanov, Yury; Oberemok, Yevgeny; Masley, Volodymyr; Rosenbush, Vera; Moskalev, Sergii

    2017-04-01

    The experiment Aerosol-UA is Ukrainian space mission aimed to the terrestrial atmospheric aerosol spatial distribution and microphysics investigations. The experiment concept is based on idea of Glory/APS mission of precise orbital measurements of polarization and intensity of the sunlight scattered by the atmosphere, aerosol and the surface the multichannel Scanning Polarimeter (ScanPol) with narrow field-of-view. ScanPol measurements will be accompanied by the wide-angle MultiSpectral Imager-Polarimeter (MSIP). The ScanPol is designed to measure Stokes parameters I, Q, U within the spectral range from the UV to the SWIR in a wide range of phase angles along satellite ground path. Expected ScanPol polarimetric accuracy is 0.15%. A high accuracy measurement of the degree of linear polarization is provided by on-board calibration of the ScanPol polarimeter. On-board calibration is performed for each scan of the mirror scanning system. A set of calibrators is viewed during the part of the scan range when the ScanPol polarimeter looks in the direction opposite to the Earth's surface. These reference assemblies provide calibration of the zero of the polarimetric scale (unpolarized reference assembly) and the scale factor for the polarimetric scale (polarized reference assembly). The zero of the radiometric scale is provided by the dark reference assembly.The spectral channels of the ScanPol are used to estimate the tropospheric aerosol absorption, the aerosol over the ocean and the land surface, the signals from cirrus clouds, stratospheric aerosols caused by major volcanic eruptions, and the contribution of the Earth's surface. The imager-polarimeter MSIP will collect 60°x60° field-of-view images on the state of the atmosphere and surface in the area, where the ScanPol polarimeter will measure, to retrieve aerosol optical depth and polarization properties of aerosol by registration of three Stokes parameters simultaneously in three spectral channels. The two more

  1. Compound ultrarefractory CAI-bearing inclusions from CV3 carbonaceous chondrites

    NASA Astrophysics Data System (ADS)

    Ivanova, Marina A.; Krot, Alexander N.; Nagashima, Kazuhide; MacPherson, Glenn J.

    2012-12-01

    Abstract-Two compound calcium-aluminum-rich inclusions (<span class="hlt">CAIs</span>), 3N from the oxidized CV chondrite Northwest Africa (NWA) 3118 and 33E from the reduced CV chondrite Efremovka, contain ultrarefractory (UR) inclusions. 3N is a forsterite-bearing type B (FoB) <span class="hlt">CAI</span> that encloses UR inclusion 3N-24 composed of Zr,Sc,Y-rich oxides, Y-rich perovskite, and Zr,Sc-rich Al,Ti-diopside. 33E contains a fluffy type A (FTA) <span class="hlt">CAI</span> and UR <span class="hlt">CAI</span> 33E-1, surrounded by Wark-Lovering rim layers of spinel, Al-diopside, and forsterite, and a common forsterite-rich accretionary rim. 33E-1 is composed of Zr,Sc,Y-rich oxides, Y-rich perovskite, Zr,Sc,Y-rich pyroxenes (Al,Ti-diopside, Sc-rich pyroxene), and gehlenite. 3N-24's UR oxides and Zr,Sc-rich Al,Ti-diopsides are 16O-poor (Δ17O approximately -2‰ to -5‰). Spinel in 3N-24 and spinel and Al-diopside in the FoB <span class="hlt">CAI</span> are 16O-rich (Δ17O approximately -23 ± 2‰). 33E-1's UR oxides and Zr,Sc-rich Al,Ti-diopsides are 16O-depleted (Δ17O approximately -2‰ to -5‰) vs. Al,Ti-diopside of the FTA <span class="hlt">CAI</span> and spinel (Δ17O approximately -23 ± 2‰), and Wark-Lovering rim Al,Ti-diopside (Δ17O approximately -7‰ to -19‰). We infer that the inclusions experienced multistage formation in nebular regions with different oxygen-isotope compositions. 3N-24 and 33E-1's precursors formed by evaporation/condensation above 1600 °C. 3N and 33E's precursors formed by condensation and melting (3N only) at significantly lower temperatures. 3N-24 and 3N's precursors aggregated into a compound object and experienced partial melting and thermal annealing. 33E-1 and 33E avoided melting prior to and after aggregation. They acquired Wark-Lovering and common forsterite-rich accretionary rims, probably by condensation, followed by thermal annealing. We suggest 3N-24 and 33E-1 originated in a 16O-rich gaseous reservoir and subsequently experienced isotope exchange in a 16O-poor gaseous reservoir. Mechanism and timing of oxygen-isotope exchange remain</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20170005741','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20170005741"><span>NWA10758: A New CV3 Chondrite Bearing a Giant <span class="hlt">CAI</span> with Hibonite-Rich Wark-Lovering Rim</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Ross, D. K.; Simon, J. I.; Zolensky, M.</p> <p>2017-01-01</p> <p>Northwest Africa (NWA) 10758 is a newly identified carbonaceous chondrite that is a Bali-like oxidized CV3. The large Ca-Al rich inclusion (<span class="hlt">CAI</span>) in this sample is approx. 2.4 x 1.4 cm. The <span class="hlt">CAI</span> is transitional in composition between type A and type B, with interior mineralogy dominated by melilite, plus less abundant spinel and Al-Ti rich diopside, and only very minor anorthite (Fig. 1A). This <span class="hlt">CAI</span> is largely free of secondary alteration in the exposed section we examined, with almost no nepheline, sodalite or Ca-Fe silicates. The Wark-Lovering (WL) rim on this <span class="hlt">CAI</span> is dominated by hibonite, with lower abundances of spinel and perovskite, and with hibonite locally overlain by melilite plus perovskite (as in Fig. 1B). Note that the example shown in 1B is exceptional. Around most of the <span class="hlt">CAI</span>, hibonite + spinel + perovskite form the WL rim, without overlying melilite. The WL rim can be unusually thick, ranging from approx. 20 microns up to approx. 150 microns. A well-developed, stratified accretionary rim infills embayments of the <span class="hlt">CAI</span>, and thins over protuberances in the convoluted <span class="hlt">CAI</span> surface.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2011SPIE.8030E..05P','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2011SPIE.8030E..05P"><span>Influence of <span class="hlt">aerosol</span> estimation on coastal water products retrieved from HICO <span class="hlt">images</span></span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Patterson, Karen W.; Lamela, Gia</p> <p>2011-06-01</p> <p>The Hyperspectral <span class="hlt">Imager</span> for the Coastal Ocean (HICO) is a hyperspectral sensor which was launched to the International Space Station in September 2009. The Naval Research Laboratory (NRL) has been developing the Coastal Water Signatures Toolkit (CWST) to estimate water depth, bottom type and water column constituents such as chlorophyll, suspended sediments and chromophoric dissolved organic matter from hyperspectral imagery. The CWST uses a look-up table approach, comparing remote sensing reflectance spectra observed in an <span class="hlt">image</span> to a database of modeled spectra for pre-determined water column constituents, depth and bottom type. In order to successfully use this approach, the remote sensing reflectances must be accurate which implies accurately correcting for the atmospheric contribution to the HICO top of the atmosphere radiances. One tool the NRL is using to atmospherically correct HICO imagery is Correction of Coastal Ocean Atmospheres (COCOA), which is based on Tafkaa 6S. One of the user input parameters to COCOA is <span class="hlt">aerosol</span> optical depth or <span class="hlt">aerosol</span> visibility, which can vary rapidly over short distances in coastal waters. Changes to the <span class="hlt">aerosol</span> thickness results in changes to the magnitude of the remote sensing reflectances. As such, the CWST retrievals for water constituents, depth and bottom type can be expected to vary in like fashion. This work is an illustration of the variability in CWST retrievals due to inaccurate <span class="hlt">aerosol</span> thickness estimation during atmospheric correction of HICO <span class="hlt">images</span>.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.ncbi.nlm.nih.gov/pubmed/12163501','PUBMED'); return false;" href="https://www.ncbi.nlm.nih.gov/pubmed/12163501"><span><span class="hlt">Cai</span>T of Escherichia coli, a new transporter catalyzing L-carnitine/gamma -butyrobetaine exchange.</span></a></p> <p><a target="_blank" href="https://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pubmed">PubMed</a></p> <p>Jung, Heinrich; Buchholz, Marion; Clausen, Jurgen; Nietschke, Monika; Revermann, Anne; Schmid, Roland; Jung, Kirsten</p> <p>2002-10-18</p> <p>l-Carnitine is essential for beta-oxidation of fatty acids in mitochondria. Bacterial metabolic pathways are used for the production of this medically important compound. Here, we report the first detailed functional characterization of the <span class="hlt">cai</span>T gene product, a putative transport protein whose function is required for l-carnitine conversion in Escherichia coli. The <span class="hlt">cai</span>T gene was overexpressed in E. coli, and the gene product was purified by affinity chromatography and reconstituted into proteoliposomes. Functional analyses with intact cells and proteoliposomes demonstrated that <span class="hlt">Cai</span>T is able to catalyze the exchange of l-carnitine for gamma-butyrobetaine, the excreted end product of l-carnitine conversion in E. coli, and related betaines. Electrochemical ion gradients did not significantly stimulate l-carnitine uptake. Analysis of l-carnitine counterflow yielded an apparent external K(m) of 105 microm and a turnover number of 5.5 s(-1). Contrary to related proteins, <span class="hlt">Cai</span>T activity was not modulated by osmotic stress. l-Carnitine binding to <span class="hlt">Cai</span>T increased the protein fluorescence and caused a red shift in the emission maximum, an observation explained by ligand-induced conformational alterations. The fluorescence effect was specific for betaine structures, for which the distance between trimethylammonium and carboxyl groups proved to be crucial for affinity. Taken together, the results suggest that <span class="hlt">Cai</span>T functions as an exchanger (antiporter) for l-carnitine and gamma-butyrobetaine according to the substrate/product antiport principle.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20120003705','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20120003705"><span>Informing <span class="hlt">Aerosol</span> Transport Models With Satellite Multi-Angle <span class="hlt">Aerosol</span> Measurements</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Limbacher, J.; Patadia, F.; Petrenko, M.; Martin, M. Val; Chin, M.; Gaitley, B.; Garay, M.; Kalashnikova, O.; Nelson, D.; Scollo, S.</p> <p>2011-01-01</p> <p>As the <span class="hlt">aerosol</span> products from the NASA Earth Observing System's Multi-angle <span class="hlt">Imaging</span> SpectroRadiometer (MISR) mature, we are placing greater focus on ways of using the <span class="hlt">aerosol</span> amount and type data products, and <span class="hlt">aerosol</span> plume heights, to constrain <span class="hlt">aerosol</span> transport models. We have demonstrated the ability to map <span class="hlt">aerosol</span> air-mass-types regionally, and have identified product upgrades required to apply them globally, including the need for a quality flag indicating the <span class="hlt">aerosol</span> type information content, that varies depending upon retrieval conditions. We have shown that MISR <span class="hlt">aerosol</span> type can distinguish smoke from dust, volcanic ash from sulfate and water particles, and can identify qualitative differences in mixtures of smoke, dust, and pollution <span class="hlt">aerosol</span> components in urban settings. We demonstrated the use of stereo <span class="hlt">imaging</span> to map smoke, dust, and volcanic effluent plume injection height, and the combination of MISR and MODIS <span class="hlt">aerosol</span> optical depth maps to constrain wildfire smoke source strength. This talk will briefly highlight where we stand on these application, with emphasis on the steps we are taking toward applying the capabilities toward constraining <span class="hlt">aerosol</span> transport models, planet-wide.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20120001852','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20120001852"><span>Ca-Fe and Alkali-Halide Alteration of an Allende Type B <span class="hlt">CAI</span>: Aqueous Alteration in Nebular or Asteroidal Settings</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Ross, D. K.; Simon, J. I.; Simon, S. B.; Grossman, L.</p> <p>2012-01-01</p> <p>Ca-Fe and alkali-halide alteration of <span class="hlt">CAIs</span> is often attributed to aqueous alteration by fluids circulating on asteroidal parent bodies after the various chondritic components have been assembled, although debate continues about the roles of asteroidal vs. nebular modification processes [1-7]. Here we report de-tailed observations of alteration products in a large Type B2 <span class="hlt">CAI</span>, TS4 from Allende, one of the oxidized subgroup of CV3s, and propose a speculative model for aqueous alteration of <span class="hlt">CAIs</span> in a nebular setting. Ca-Fe alteration in this <span class="hlt">CAI</span> consists predominantly of end-member hedenbergite, end-member andradite, and compositionally variable, magnesian high-Ca pyroxene. These phases are strongly concentrated in an unusual "nodule" enclosed within the interior of the <span class="hlt">CAI</span> (Fig. 1). The Ca, Fe-rich nodule superficially resembles a clast that pre-dated and was engulfed by the <span class="hlt">CAI</span>, but closer inspection shows that relic spinel grains are enclosed in the nodule, and corroded <span class="hlt">CAI</span> primary phases interfinger with the Fe-rich phases at the nodule s margins. This <span class="hlt">CAI</span> also contains abundant sodalite and nepheline (alkali-halide) alteration that occurs around the rims of the <span class="hlt">CAI</span>, but also penetrates more deeply into the <span class="hlt">CAI</span>. The two types of alteration (Ca-Fe and alkali-halide) are adjacent, and very fine-grained Fe-rich phases are associated with sodalite-rich regions. Both types of alteration appear to be replacive; if that is true, it would require substantial introduction of Fe, and transport of elements (Ti, Al and Mg) out of the nodule, and introduction of Na and Cl into alkali-halide rich zones. Parts of the <span class="hlt">CAI</span> have been extensively metasomatized.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2013AGUFM.A24E..08D','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2013AGUFM.A24E..08D"><span>Aircraft Measurements of <span class="hlt">Aerosol</span> Phase Matrix Elements by the Polarized <span class="hlt">Imaging</span> Nephelometer (Invited)</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Dolgos, G.; Martins, J.; Espinosa, R.; Dubovik, O.; Beyersdorf, A. J.; Ziemba, L. D.; Hair, J. W.</p> <p>2013-12-01</p> <p><span class="hlt">Aerosols</span> have a significant impact on the radiative balance and water cycle of our planet through influencing atmospheric radiation. Remote sensing of <span class="hlt">aerosols</span> relies on scattering phase matrix information to retrieve <span class="hlt">aerosol</span> properties with frequent global coverage, the assumed phase matrices must be validated by measurements. At the Laboratory for <span class="hlt">Aerosols</span>, Clouds and Optics (LACO) at the University of Maryland, Baltimore County (UMBC) we developed a new technique to directly measure the <span class="hlt">aerosol</span> phase function (P11), the degree of linear polarization of the scattered light (-P12/P11), and the volume scattering coefficient (SCAT). We designed and built a portable instrument called the Polarized <span class="hlt">Imaging</span> Nephelometer (PI-Neph), shown in Figure 1 (a). The PI-Neph successfully participated in dozens of flights of the NASA Development and Evaluation of satellite ValidatiOn Tools by Experimenters (DEVOTE) project and the Deep Convective Clouds and Chemistry (DC3) project and the January and February deployment of the Deriving Information on Surface Conditions from Column and Vertically Resolved Observations Relevant to Air Quality (Discover-AQ) mission. The ambient <span class="hlt">aerosol</span> enters the PI-Neph through an inlet and the sample is illuminated by laser light (wavelength of 532 nm); the scattered light is <span class="hlt">imaged</span> by a stationary wide field of view camera in the scattering angle range of 2° to 178° (in some cases stray light limited the scattering angle range to 3° to 176°). Data for P11, P12, and SCAT were taken every 12 seconds, example datasets from DEVOTE of P11 times SCAT are shown on Figure 1 (b). The talk will highlight results from the three field deployments and will show microphysical retrievals from the scattering data. The size distribution and the average complex refractive index of the ambient <span class="hlt">aerosol</span> ensemble can be retrieved from the data by an algorithm similar to that of AERONET, as illustrated in Figure 1 (c). Particle sphericity can potentially be</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://files.eric.ed.gov/fulltext/ED152294.pdf','ERIC'); return false;" href="http://files.eric.ed.gov/fulltext/ED152294.pdf"><span>The Relevance of AI Research to <span class="hlt">CAI</span>.</span></a></p> <p><a target="_blank" href="http://www.eric.ed.gov/ERICWebPortal/search/extended.jsp?_pageLabel=advanced">ERIC Educational Resources Information Center</a></p> <p>Kearsley, Greg P.</p> <p></p> <p>This article provides a tutorial introduction to Artificial Intelligence (AI) research for those involved in Computer Assisted Instruction (<span class="hlt">CAI</span>). The general theme is that much of the current work in AI, particularly in the areas of natural language understanding systems, rule induction, programming languages, and socratic systems, has important…</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017GeCoA.201...65M','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017GeCoA.201...65M"><span>High precision Al-Mg systematics of forsterite-bearing Type B <span class="hlt">CAIs</span> from CV3 chondrites</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>MacPherson, G. J.; Bullock, E. S.; Tenner, T. J.; Nakashima, D.; Kita, N. T.; Ivanova, M. A.; Krot, A. N.; Petaev, M. I.; Jacobsen, S. B.</p> <p>2017-03-01</p> <p>In order to further elucidate possible temporal relationships between different varieties of calcium-, aluminum-rich inclusions (<span class="hlt">CAIs</span>), we measured the aluminum-magnesium isotopic systematics of seven examples of the rare type known as forsterite-bearing Type B (FoB) inclusions from four different CV3 carbonaceous chondrites: Allende, Efremovka, NWA 3118, and Vigarano. The primary phases (forsterite, Al-Ti-rich diopside, spinel, melilite, and anorthite) in each inclusion were analyzed in situ using high-precision secondary ion mass-spectrometry (SIMS). In all cases, minerals with low Al/Mg ratios (all except anorthite) yield well-defined internal Al-Mg isochrons, with a range of initial 26Al/27Al ratios [(26Al/27Al)0] ranging from (5.30 ± 0.22) × 10-5 down to (4.17 ± 0.43) × 10-5. Anorthite in all cases is significantly disturbed relative to the isochrons defined by the other phases in the same <span class="hlt">CAIs</span>, and in several cases contains no resolved excesses of radiogenic 26Mg (δ26Mg∗) even at 27Al/24Mg ratios greater than 1000. The fact that some FoBs preserve (26Al/27Al)0 of ∼5.2 × 10-5, close to the canonical value of (5.23 ± 0.13) × 10-5 inferred from bulk magnesium-isotope measurements of CV <span class="hlt">CAIs</span> (B. Jacobsen et al., 2008), demonstrates that FoBs began forming very early, contemporaneous with other more-refractory <span class="hlt">CAIs</span>. The range of (26Al/27Al)0 values further shows that FoBs continued to be reprocessed over ∼200,000 years of nebular history, consistent with results obtained for other types of igneous <span class="hlt">CAIs</span> in CV chondrites. The absence of any correlation between of <span class="hlt">CAI</span> + FoB formation or reprocessing times with bulk composition or <span class="hlt">CAI</span> type means that there is no temporal evolutionary sequence between the diverse <span class="hlt">CAI</span> types. The initial δ26Mg∗ value in the most primitive FoB (SJ101) is significantly lower than the canonical solar system value of -0.040 ± 0.029‰.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://files.eric.ed.gov/fulltext/ED058725.pdf','ERIC'); return false;" href="http://files.eric.ed.gov/fulltext/ED058725.pdf"><span>Who Should Develop Instructional Materials for <span class="hlt">CAI</span>?</span></a></p> <p><a target="_blank" href="http://www.eric.ed.gov/ERICWebPortal/search/extended.jsp?_pageLabel=advanced">ERIC Educational Resources Information Center</a></p> <p>Seidel, Robert J.</p> <p></p> <p>The nonprofit special organization as a developer of computer-administered instruction (<span class="hlt">CAI</span>) is advocated in this paper. The organization of universities and their mode of operation do not lend themselves to instructional product development. Faculty members engage in such efforts on a part-time basis and in competition with higher priority…</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20170006931','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20170006931"><span>Northwest Africa 10758: A New CV3 Chondrite Bearing a Giant <span class="hlt">CAI</span> with Hibonite-Rich Wark-Lovering Rim</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Ross, D. K.; Simon, J. I.; Zolensky, M.</p> <p>2017-01-01</p> <p>Northwest Africa (NWA) 10758 is a newly identified carbonaceous chondrite that is a Bali-like oxidized CV3. The large Ca-Al rich inclusion (<span class="hlt">CAI</span>) in this sample is approx. 2.4 x 1.4 cm. The <span class="hlt">CAI</span> is transitional in composition between type A and type B, with interior mineralogy dominated by melilite, plus less abundant spinel and Al-Ti rich diopside, and only very minor anorthite (Fig. 1A). This <span class="hlt">CAI</span> is largely free of secondary alteration in the exposed section we examined, with almost no nepheline, sodalite or Ca-Fe silicates. The Wark-Lovering (WL) rim on this <span class="hlt">CAI</span> is dominated by hibonite, with lower abundances of spinel and perovskite, and with hibonite locally overlain by melilite plus perovskite (as in Fig. 1B). Note that the example shown in 1B is exceptional. Around most of the <span class="hlt">CAI</span>, hibonite + spinel + perovskite form the WL rim, without overlying melilite. The WL rim can be unusually thick, ranging from approx.20 microns up to approx. 150 microns. A well-developed, stratified accretionary rim infills embayments of the <span class="hlt">CAI</span>, and thins over protuberances in the convoluted <span class="hlt">CAI</span> surface.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://ntrs.nasa.gov/search.jsp?R=19950042229&hterms=FeTiO3&qs=N%3D0%26Ntk%3DAll%26Ntx%3Dmode%2Bmatchall%26Ntt%3DFeTiO3','NASA-TRS'); return false;" href="https://ntrs.nasa.gov/search.jsp?R=19950042229&hterms=FeTiO3&qs=N%3D0%26Ntk%3DAll%26Ntx%3Dmode%2Bmatchall%26Ntt%3DFeTiO3"><span>An ion microprobe study of <span class="hlt">CAIs</span> from CO3 meteorites. [Abstract only</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Russell, S. S.; Greenwood, R. C.; Fahey, A. J.; Huss, G. R.; Wasserburg, G. J.</p> <p>1994-01-01</p> <p>When attempting to interpret the history of Ca, Al-rich inclusions (<span class="hlt">CAIs</span>) it is often difficult to distinguish between primary features inherited from the nebula and those produced during secondary processing on the parent body. We have undertaken a systematic study of <span class="hlt">CAIs</span> from 10 CO chondrites, believed to represent a metamorphic sequence with the goal of distinguishing primary and secondary features. ALHA 77307 (3.0), Colony (3.0), Kainsaz (3.1), Felix (3.2), ALH 82101 (3.3), Ornans (3.3), Lance (3.4), ALHA 77003 (3.5), Warrenton (3.6), and Isna (3.7) were examined by Scanning Electron Microscopy (SEM) and optical microscopy. We have identified 141 <span class="hlt">CAIs</span> within these samples, and studied in detail the petrology of 34 inclusions. The primary phases in the lower petrologic types are spinel, melilite, and hibonite. Perovskite, FeS, ilmenite, anorthite, kirschsteinite, and metallic Fe are present as minor phases. Melilite becomes less abundant in higher petrologic types and was not detected in chondrites of type 3.5 and above, confirming previous reports that this mineral easily breaks down during heating. Iron, an element that would not be expected to condense at high temperatures, has a lower abundance in spinel from low-petrologic-type meteorites than those of higher grade, and CaTiO3 is replaced by FeTiO3 in meteorites of higher petrologic type. The abundance of <span class="hlt">CAIs</span> is similar in each meteorite. Eight inclusions have been analyzed by ion probe. The results are summarized. The results obtained to date show that <span class="hlt">CAIs</span> in CO meteorites, like those from other meteorite classes, contain Mg* and that Mg in some inclusions has been redistributed.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.ncbi.nlm.nih.gov/pubmed/26133743','PUBMED'); return false;" href="https://www.ncbi.nlm.nih.gov/pubmed/26133743"><span>Gender Role, Gender Identity and Sexual Orientation in <span class="hlt">CAIS</span> ("XY-Women") Compared With Subfertile and Infertile 46,XX Women.</span></a></p> <p><a target="_blank" href="https://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pubmed">PubMed</a></p> <p>Brunner, Franziska; Fliegner, Maike; Krupp, Kerstin; Rall, Katharina; Brucker, Sara; Richter-Appelt, Hertha</p> <p>2016-01-01</p> <p>The perception of gender development of individuals with complete androgen insensitivity syndrome (<span class="hlt">CAIS</span>) as unambiguously female has recently been challenged in both qualitative data and case reports of male gender identity. The aim of the mixed-method study presented was to examine the self-perception of <span class="hlt">CAIS</span> individuals regarding different aspects of gender and to identify commonalities and differences in comparison with subfertile and infertile XX-chromosomal women with diagnoses of Mayer-Rokitansky-Küster-Hauser syndrome (MRKHS) and polycystic ovary syndrome (PCOS). The study sample comprised 11 participants with <span class="hlt">CAIS</span>, 49 with MRKHS, and 55 with PCOS. Gender identity was assessed by means of a multidimensional instrument, which showed significant differences between the <span class="hlt">CAIS</span> group and the XX-chromosomal women. Other-than-female gender roles and neither-female-nor-male sexes/genders were reported only by individuals with <span class="hlt">CAIS</span>. The percentage with a not exclusively androphile sexual orientation was unexceptionally high in the <span class="hlt">CAIS</span> group compared to the prevalence in "normative" women and the clinical groups. The findings support the assumption made by Meyer-Bahlburg ( 2010 ) that gender outcome in people with <span class="hlt">CAIS</span> is more variable than generally stated. Parents and professionals should thus be open to courses of gender development other than typically female in individuals with <span class="hlt">CAIS</span>.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2006RScI...77d3106S','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2006RScI...77d3106S"><span>Coupling a versatile <span class="hlt">aerosol</span> apparatus to a synchrotron: Vacuum ultraviolet light scattering, photoelectron <span class="hlt">imaging</span>, and fragment free mass spectrometry</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Shu, Jinian; Wilson, Kevin R.; Ahmed, Musahid; Leone, Stephen R.</p> <p>2006-04-01</p> <p>An <span class="hlt">aerosol</span> apparatus has been coupled to the Chemical Dynamics Beamline of the Advanced Light Source at Lawrence Berkeley National Laboratory. This apparatus has multiple capabilities for <span class="hlt">aerosol</span> studies, including vacuum ultraviolet (VUV) light scattering, photoelectron <span class="hlt">imaging</span>, and mass spectroscopy of <span class="hlt">aerosols</span>. By utilizing an inlet system consisting of a 200μm orifice nozzle and aerodynamic lenses, <span class="hlt">aerosol</span> particles of ˜50nm-˜1μm in diameter can be sampled directly from atmospheric pressure. The machine is versatile and can probe carbonaceous <span class="hlt">aerosols</span> generated by a laboratory flame, nebulized solutions of biological molecules, hydrocarbon <span class="hlt">aerosol</span> reaction products, and synthesized inorganic nanoparticles. The sensitivity of this apparatus is demonstrated by the detection of nanoparticles with VUV light scattering, photoelectron <span class="hlt">imaging</span>, and charged particle detection. In addition to the detection of nanoparticles, the thermal vaporization of <span class="hlt">aerosols</span> on a heater tip leads to the generation of intact gas phase molecules. This phenomenon coupled to threshold single photon ionization, accessible with tunable VUV light, allows for fragment-free mass spectrometry of complex molecules. The initial experiments with light scattering, photoelectron <span class="hlt">imaging</span>, and <span class="hlt">aerosol</span> mass spectrometry reported here serve as a demonstration of the design philosophy and multiple capabilities of the apparatus.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2015EGUGA..17.8037S','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2015EGUGA..17.8037S"><span>On relationship between <span class="hlt">aerosols</span> and PM2.5</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Sano, Itaru; Mukai, Sonoyo; Nakata, Makiko</p> <p>2015-04-01</p> <p>Since <span class="hlt">aerosol</span> optical thickness (AOT) is a key parameter of <span class="hlt">aerosols</span> and description of the Earth's radiation budget, it is widely measured from ground sun photometer network NASA/AERONET [Holben et al., 1998] and from satellite. Fine and surface level <span class="hlt">aerosol</span> particle called PM2.5, whose diameter is 2.5 μ m or less, is a well-known parameter for understanding polluted level of air. Smirnov et al. reported a good agreement between ground based AERONET AOT (870 nm) and dust concentrations at Barbados [Smirnov et al., 2000]. Wang and Christopher founded a good correlation between satellite based MODIS AOT product and PM2.5 in Alabama area [Wang and 2003]. Long range transported dusts, particularly Asian dust events, are easy to change the vertical profile of <span class="hlt">aerosol</span> extinction. The vertical profile is important to estimate PM information because both AOT information measured from ground or satellite are integrated value of <span class="hlt">aerosol</span> extinction from ground to space, i.e. columnar AOT. Thus, we have also proposed correlations between ground level PM2.5 and AERONET AOT (670 nm) in two cases of ordinary air condition and dusty days [Sano et al., 2010]. In this work, we investigate the relationship between PM2.5 and AERONET AOT considering LIDAR measurements. Note that all of instruments are set up at the roof of the University building (50 m) and collocated in 10 m area. Surface-level AOT is derived from AERONET AOT multiplied by an averaged vertical <span class="hlt">aerosol</span> extinction given by LIDAR. Note that the definition of surface-level AOT in this work is assumed as AOT up to 500 m height. Introduction of surface-level AOT enables to avoid the contamination of dusty <span class="hlt">aerosol</span> signal existing at high altitude from columnar AOT. The cloud <span class="hlt">aerosol</span> <span class="hlt">imager</span> (<span class="hlt">CAI</span>) on GOSAT satellite has four observing wavelengths, 380, 670, 870 nm, and 1.6 μ m. In this work three channels are selected to estimate <span class="hlt">aerosol</span> information. Look-up table (LUT) method is applied to estimate the optical properties</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.ncbi.nlm.nih.gov/pubmed/7667070','PUBMED'); return false;" href="https://www.ncbi.nlm.nih.gov/pubmed/7667070"><span>Na/Ca exchange in the basolateral membrane of the A6 cell monolayer: role in <span class="hlt">Cai</span> homeostasis.</span></a></p> <p><a target="_blank" href="https://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pubmed">PubMed</a></p> <p>Brochiero, E; Raschi, C; Ehrenfeld, J</p> <p>1995-05-01</p> <p>The presence of a Na/Ca exchanger in A6 cells was investigated by measuring intracellular calcium (<span class="hlt">Cai</span>) fluctuations and the 45Ca fluxes through the basolateral membranes (blm) of the cell monolayer. Removal of Na+ from the medium produced a transient increase in <span class="hlt">Cai</span> followed by a regulatory phase returning <span class="hlt">Cai</span> to control levels in 3-4 min, this phase being greatly accelerated (< 60 s) by NaCl addition (apparent Km of approximately 5 mM Na+). The <span class="hlt">Cai</span> increase was only found with the Na(+)-free medium on the basolateral side of the cell monolayer. A twofold increase in the 45Ca influx was observed under these conditions. In Ca(2+)- depleted cells, the initial <span class="hlt">Cai</span> increase after Ca2+ addition to the medium was greater when the putative Na/Ca exchanger was not functioning (i.e. in a Na(+)-free medium). 45Ca effluxes through the blm of the monolayer were greatly and transiently increased by a Na(+)-free medium on the serosal side and blocked by orthovanadate (1 mM). The <span class="hlt">Cai</span> increased induced by a hypo-osmotic shock was greater in cells bathed in a Na(+)-medium, conditions expected to block the activity of the Na/Ca exchanger. These findings support the hypothesis that a Na/Ca exchanger is present on the blm of A6 cells and affirm its role in <span class="hlt">Cai</span> homeostasis in steady-state conditions and following osmotic shock. In addition, a Ca2+ pump also located on the blm and Ca2+ stores sensitive to inositol 1,4,5-trisphosphate were found to be implicated in <span class="hlt">Cai</span> homeostasis.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017AGUFM.A31L..04W','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017AGUFM.A31L..04W"><span>Rapid Measurements of <span class="hlt">Aerosol</span> Size Distribution and Hygroscopic Growth via <span class="hlt">Image</span> Processing with a Fast Integrated Mobility Spectrometer (FIMS)</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Wang, Y.; Pinterich, T.; Spielman, S. R.; Hering, S. V.; Wang, J.</p> <p>2017-12-01</p> <p><span class="hlt">Aerosol</span> size distribution and hygroscopicity are among key parameters in determining the impact of atmospheric <span class="hlt">aerosols</span> on global radiation and climate change. In situ submicron <span class="hlt">aerosol</span> size distribution measurements commonly involve a scanning mobility particle sizer (SMPS). The SMPS scanning time is in the scale of minutes, which is often too slow to capture the variation of <span class="hlt">aerosol</span> size distribution, such as for <span class="hlt">aerosols</span> formed via nucleation processes or measurements onboard research aircraft. To solve this problem, a Fast Integrated Mobility Spectrometer (FIMS) based on <span class="hlt">image</span> processing was developed for rapid measurements of <span class="hlt">aerosol</span> size distributions from 10 to 500 nm. The FIMS consists of a parallel plate classifier, a condenser, and a CCD detector array. Inside the classifier an electric field separates charged <span class="hlt">aerosols</span> based on electrical mobilities. Upon exiting the classifier, the <span class="hlt">aerosols</span> pass through a three stage growth channel (Pinterich et al. 2017; Spielman et al. 2017), where <span class="hlt">aerosols</span> as small as 7 nm are enlarged to above 1 μm through water or heptanol condensation. Finally, the grown <span class="hlt">aerosols</span> are illuminated by a laser sheet and <span class="hlt">imaged</span> onto a CCD array. The <span class="hlt">images</span> provide both <span class="hlt">aerosol</span> concentration and position, which directly relate to the <span class="hlt">aerosol</span> size distribution. By this simultaneous measurement of <span class="hlt">aerosols</span> with different sizes, the FIMS provides <span class="hlt">aerosol</span> size spectra nearly 100 times faster than the SMPS. Recent deployment onboard research aircraft demonstrated that the FIMS is capable of measuring <span class="hlt">aerosol</span> size distributions in 1s (Figure), thereby offering a great advantage in applications requiring high time resolution (Wang et al. 2016). In addition, the coupling of the FIMS with other conventional <span class="hlt">aerosol</span> instruments provides orders of magnitude more rapid characterization of <span class="hlt">aerosol</span> optical and microphysical properties. For example, the combination of a differential mobility analyzer, a relative humidity control unit, and a FIMS was</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.osti.gov/servlets/purl/5383392','SCIGOV-STC'); return false;" href="https://www.osti.gov/servlets/purl/5383392"><span>Design specifications for NALDA (Naval Aviation Logistics Data Analysis) <span class="hlt">CAI</span> (computer aided instruction): Phase 2, Interim report</span></a></p> <p><a target="_blank" href="http://www.osti.gov/search">DOE Office of Scientific and Technical Information (OSTI.GOV)</a></p> <p>Twitty, A.F.; Handler, B.H.; Duncan, L.D.</p> <p></p> <p>Data Systems Engineering Organization (DSEO) personnel are developing a prototype computer aided instruction (<span class="hlt">CAI</span>) system for the Naval Aviation Logistics Data Analysis (NALDA) system. The objective of this project is to provide a prototype for implementing <span class="hlt">CAI</span> as an enhancement to existing NALDA training. The <span class="hlt">CAI</span> prototype project is being performed in phases. The task undertaken in Phase I was to analyze the problem and the alternative solutions and to develop a set of recommendations on how best to proceed. In Phase II a structured design and specification document was completed that will provide the basis for development and implementationmore » of the desired <span class="hlt">CAI</span> system. Phase III will consist of designing, developing, and testing a user interface which will extend the features of the Phase II prototype. The design of the <span class="hlt">CAI</span> prototype has followed a rigorous structured analysis based on Yourdon/DeMarco methodology and Information Engineering tools. This document includes data flow diagrams, a data dictionary, process specifications, an entity-relationship diagram, a curriculum description, special function key definitions, and a set of standards developed for the NALDA <span class="hlt">CAI</span> Prototype.« less</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://eric.ed.gov/?q=binary+AND+number+AND+system+AND+computers&pg=3&id=ED198791','ERIC'); return false;" href="https://eric.ed.gov/?q=binary+AND+number+AND+system+AND+computers&pg=3&id=ED198791"><span>A Multi-Media <span class="hlt">CAI</span> Terminal Based upon a Microprocessor with Applications for the Handicapped.</span></a></p> <p><a target="_blank" href="http://www.eric.ed.gov/ERICWebPortal/search/extended.jsp?_pageLabel=advanced">ERIC Educational Resources Information Center</a></p> <p>Brebner, Ann; Hallworth, H. J.</p> <p></p> <p>The design of the <span class="hlt">CAI</span> interface described is based on the microprocessor in order to meet three basic requirements for providing appropriate instruction to the developmentally handicapped: (1) portability, so that <span class="hlt">CAI</span> can be taken into the customary learning environment; (2) reliability; and (3) flexibility, to permit use of new input and output…</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2018E%26ES..117a2001A','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2018E%26ES..117a2001A"><span>Moderate <span class="hlt">Imaging</span> Resolution Spectroradiometer (MODIS) <span class="hlt">Aerosol</span> Optical Depth Retrieval for <span class="hlt">Aerosol</span> Radiative Forcing</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Asmat, A.; Jalal, K. A.; Ahmad, N.</p> <p>2018-02-01</p> <p>The present study uses the <span class="hlt">Aerosol</span> Optical Depth (AOD) retrieved from Moderate <span class="hlt">Imaging</span> Resolution Spectroradiometer (MODIS) data for the period from January 2011 until December 2015 over an urban area in Kuching, Sarawak. The results show the minimum AOD value retrieved from MODIS is -0.06 and the maximum value is 6.0. High <span class="hlt">aerosol</span> loading with high AOD value observed during dry seasons and low AOD monitored during wet seasons. Multi plane regression technique used to retrieve AOD from MODIS (AODMODIS) and different statistics parameter is proposed by using relative absolute error for accuracy assessment in spatial and temporal averaging approach. The AODMODIS then compared with AOD derived from <span class="hlt">Aerosol</span> Robotic Network (AERONET) Sunphotometer (AODAERONET) and the results shows high correlation coefficient (R2) for AODMODIS and AODAERONET with 0.93. AODMODIS used as an input parameters into Santa Barbara Discrete Ordinate Radiative Transfer (SBDART) model to estimate urban radiative forcing at Kuching. The observed hourly averaged for urban radiative forcing is -0.12 Wm-2 for top of atmosphere (TOA), -2.13 Wm-2 at the surface and 2.00 Wm-2 in the atmosphere. There is a moderate relationship observed between urban radiative forcing calculated using SBDART and AERONET which are 0.75 at the surface, 0.65 at TOA and 0.56 in atmosphere. Overall, variation in AOD tends to cause large bias in the estimated urban radiative forcing.</p> </li> </ol> <div class="pull-right"> <ul class="pagination"> <li><a href="#" onclick='return showDiv("page_1");'>«</a></li> <li><a href="#" onclick='return showDiv("page_3");'>3</a></li> <li><a href="#" onclick='return showDiv("page_4");'>4</a></li> <li class="active"><span>5</span></li> <li><a href="#" onclick='return showDiv("page_6");'>6</a></li> <li><a href="#" onclick='return showDiv("page_7");'>7</a></li> <li><a href="#" onclick='return showDiv("page_25");'>»</a></li> </ul> </div> </div><!-- col-sm-12 --> </div><!-- row --> </div><!-- page_5 --> <div id="page_6" class="hiddenDiv"> <div class="row"> <div class="col-sm-12"> <div class="pull-right"> <ul class="pagination"> <li><a href="#" onclick='return showDiv("page_1");'>«</a></li> <li><a href="#" onclick='return showDiv("page_4");'>4</a></li> <li><a href="#" onclick='return showDiv("page_5");'>5</a></li> <li class="active"><span>6</span></li> <li><a href="#" onclick='return showDiv("page_7");'>7</a></li> <li><a href="#" onclick='return showDiv("page_8");'>8</a></li> <li><a href="#" onclick='return showDiv("page_25");'>»</a></li> </ul> </div> </div> </div> <div class="row"> <div class="col-sm-12"> <ol class="result-class" start="101"> <li> <p><a target="_blank" onclick="trackOutboundLink('https://eosweb.larc.nasa.gov/project/misr/gallery/aerosols_europe','SCIGOV-ASDC'); return false;" href="https://eosweb.larc.nasa.gov/project/misr/gallery/aerosols_europe"><span><span class="hlt">Aerosols</span></span></a></p> <p><a target="_blank" href="http://eosweb.larc.nasa.gov/">Atmospheric Science Data Center </a></p> <p></p> <p>2013-04-17</p> <p>... depth. A color scale is used to represent this quantity, and high <span class="hlt">aerosol</span> amount is indicated by yellow or green pixels, and clearer skies ... out most clearly, whereas MISR's oblique cameras enhance sensitivity to even thin layers of <span class="hlt">aerosols</span>. In the March <span class="hlt">image</span>, the only ...</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20140001393','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20140001393"><span>A FIB/TEM Study of a Complex Wark-Lovering Rim on a Vigarano <span class="hlt">CAI</span></span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Keller, L. P.; Needham, A. W.; Messenger, S.</p> <p>2013-01-01</p> <p>Wark-Lovering (WL) rims are thin multilayered mineral sequences that surround most Ca, Al-rich inclusions (<span class="hlt">CAIs</span>). Several processes have been proposed for WL rim formation, including condensation, flash-heating or reaction with a nebular reservoir, or combinations of these [e.g. 1-7], but no consensus exists. Our previous coordinated transmission electron microscope (TEM) and NanoSIMS O isotopic measurements showed that a WL rim experienced flash heating events in a nebular environment with planetary O isotopic composition, distinct from the (16)O-rich formation environment [6]. Our efforts have focused on <span class="hlt">CAIs</span> from the CV(sub red) chondrites, especially Vigarano, because these have escaped much of the parent body alteration effects that are common in <span class="hlt">CAIs</span> from CV(sub ox) group.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://files.eric.ed.gov/fulltext/ED186017.pdf','ERIC'); return false;" href="http://files.eric.ed.gov/fulltext/ED186017.pdf"><span>Low-Cost Computer-Aided Instruction/Computer-Managed Instruction (<span class="hlt">CAI</span>/CMI) System: Feasibility Study. Final Report.</span></a></p> <p><a target="_blank" href="http://www.eric.ed.gov/ERICWebPortal/search/extended.jsp?_pageLabel=advanced">ERIC Educational Resources Information Center</a></p> <p>Lintz, Larry M.; And Others</p> <p></p> <p>This study investigated the feasibility of a low cost computer-aided instruction/computer-managed instruction (<span class="hlt">CAI</span>/CMI) system. Air Force instructors and training supervisors were surveyed to determine the potential payoffs of various <span class="hlt">CAI</span> and CMI functions. Results indicated that a wide range of capabilities had potential for resident technical…</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2012M%26PS...47.1062R','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2012M%26PS...47.1062R"><span>A new model for the origin of Type-B and Fluffy Type-A <span class="hlt">CAIs</span>: Analogies to remelted compound chondrules</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Rubin, Alan E.</p> <p>2012-06-01</p> <p>In the scenario developed here, most types of calcium-aluminum-rich inclusions (<span class="hlt">CAIs</span>) formed near the Sun where they developed Wark-Lovering rims before being transported by aerodynamic forces throughout the nebula. The amount of ambient dust in the nebula varied with heliocentric distance, peaking in the CV-CK formation location. Literature data show that accretionary rims (which occur outside the Wark-Lovering rims) around <span class="hlt">CAIs</span> contain substantial 16O-rich forsterite, suggesting that, at this time, the ambient dust in the nebula consisted largely of 16O-rich forsterite. Individual sub-millimeter-size Compact Type-A <span class="hlt">CAIs</span> (each surrounded by a Wark-Lovering rim) collided in the CV-CK region and stuck together (in a manner similar to that of sibling compound chondrules); the CTAs were mixed with small amounts of 16O-rich mafic dust and formed centimeter-size compound objects (large Fluffy Type-A <span class="hlt">CAIs</span>) after experiencing minor melting. In contrast to other types of <span class="hlt">CAIs</span>, centimeter-size Type-B <span class="hlt">CAIs</span> formed directly in the CV-CK region after gehlenite-rich Compact Type-A <span class="hlt">CAIs</span> collided and stuck together, incorporated significant amounts of 16O-rich forsteritic dust (on the order of 10-15%) and probably some anorthite, and experienced extensive melting and partial evaporation. (Enveloping compound chondrules formed in an analogous manner.) In those cases where appreciably higher amounts of 16O-rich forsterite (on the order of 25%) (and perhaps minor anorthite and pyroxene) were incorporated into compound Type-A objects prior to melting, centimeter-size forsterite-bearing Type-B <span class="hlt">CAIs</span> (B3 inclusions) were produced. Type-B1 inclusions formed from B2 inclusions that collided with and stuck to melilite-rich Compact Type-A <span class="hlt">CAIs</span> and experienced high-temperature processing.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://files.eric.ed.gov/fulltext/ED153600.pdf','ERIC'); return false;" href="http://files.eric.ed.gov/fulltext/ED153600.pdf"><span>The Cost of <span class="hlt">CAI</span>: A Matter of Assumptions.</span></a></p> <p><a target="_blank" href="http://www.eric.ed.gov/ERICWebPortal/search/extended.jsp?_pageLabel=advanced">ERIC Educational Resources Information Center</a></p> <p>Kearsley, Greg P.</p> <p></p> <p>Cost estimates for Computer Assisted Instruction (<span class="hlt">CAI</span>) depend crucially upon the particular assumptions made about the components of the system to be included in the costs, the expected lifetime of the system and courseware, and the anticipated student utilization of the system/courseware. The cost estimates of three currently operational systems…</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.pubmedcentral.nih.gov/articlerender.fcgi?tool=pmcentrez&artid=107209','PMC'); return false;" href="https://www.pubmedcentral.nih.gov/articlerender.fcgi?tool=pmcentrez&artid=107209"><span>Regulation of the Carnitine Pathway in Escherichia coli: Investigation of the <span class="hlt">cai</span>-fix Divergent Promoter Region</span></a></p> <p><a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pmc">PubMed Central</a></p> <p>Buchet, Anne; Eichler, Knut; Mandrand-Berthelot, Marie-Andrée</p> <p>1998-01-01</p> <p>The divergent structural operons <span class="hlt">cai</span>TABCDE and fixABCX of Escherichia coli are required for anaerobic carnitine metabolism. Transcriptional monocopy lacZ fusion studies showed that both operons are coexpressed during anaerobic growth in the presence of carnitine, respond to common environmental stimuli (like glucose and nitrate), and are modulated positively by the same general regulators, CRP and FNR, and negatively by H-NS. Overproduction of the <span class="hlt">Cai</span>F specific regulatory protein mediating the carnitine signal restored induction in an fnr mutant, corresponding to its role as the primary target for anaerobiosis. Transcript analysis identified two divergent transcription start points initiating 289 bp apart. DNase I footprinting revealed three sites with various affinities for the binding of the cAMP-CRP complex inside this regulatory region. Site-directed mutagenesis experiments indicated that previously reported perfect CRP motif 1, centered at −41.5 of the <span class="hlt">cai</span> transcriptional start site, plays a direct role in the sole <span class="hlt">cai</span> activation. In contrast, mutation in CRP site 2, positioned at −69.5 of the fix promoter, caused only a threefold reduction in fix expression. Thus, the role of the third CRP site, located at −126.5 of fix, might be to reinforce the action of site 2. A critical 50-bp cis-acting sequence overlapping the fix mRNA start site was found, by deletion analysis, to be necessary for <span class="hlt">cai</span> transcription. This region is thought to be involved in transduction of the signal mediated by the <span class="hlt">Cai</span>F regulator. PMID:9573142</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20120015573','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20120015573"><span>Determining <span class="hlt">Aerosol</span> Plume Height from Two GEO <span class="hlt">Imagers</span>: Lessons from MISR and GOES</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Wu, Dong L.</p> <p>2012-01-01</p> <p><span class="hlt">Aerosol</span> plume height is a key parameter to determine impacts of particulate matters generated from biomass burning, wind-blowing dust, and volcano eruption. Retrieving cloud top height from stereo imageries from two GOES (Geostationary Operational Environmental Satellites) have been demonstrated since 1970's and the principle should work for <span class="hlt">aerosol</span> plumes if they are optically thick. The stereo technique has also been used by MISR (Multiangle <span class="hlt">Imaging</span> SpectroRadiometer) since 2000 that has nine look angles along track to provide <span class="hlt">aerosol</span> height measurements. Knowing the height of volcano <span class="hlt">aerosol</span> layers is as important as tracking the ash plume flow for aviation safety. Lack of knowledge about ash plume height during the 2010 Eyja'rjallajokull eruption resulted in the largest air-traffic shutdown in Europe since World War II. We will discuss potential applications of Asian GEO satellites to make stereo measurements for dust and volcano plumes.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://ntrs.nasa.gov/search.jsp?R=20070034029&hterms=optical+network&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D20%26Ntt%3Doptical%2Bnetwork','NASA-TRS'); return false;" href="https://ntrs.nasa.gov/search.jsp?R=20070034029&hterms=optical+network&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D20%26Ntt%3Doptical%2Bnetwork"><span>Multiangle <span class="hlt">Imaging</span> Spectroradiometer (MISR) Global <span class="hlt">Aerosol</span> Optical Depth Validation Based on 2 Years of Coincident <span class="hlt">Aerosol</span> Robotic Network (AERONET) Observations</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Kahn, Ralph A.; Gaitley, Barbara J.; Martonchik, John V.; Diner, David J.; Crean, Kathleen A.; Holben, Brent</p> <p>2005-01-01</p> <p>Performance of the Multiangle <span class="hlt">Imaging</span> Spectroradiometer (MISR) early postlaunch <span class="hlt">aerosol</span> optical thickness (AOT) retrieval algorithm is assessed quantitatively over land and ocean by comparison with a 2-year measurement record of globally distributed AERONET Sun photometers. There are sufficient coincident observations to stratify the data set by season and expected <span class="hlt">aerosol</span> type. In addition to reporting uncertainty envelopes, we identify trends and outliers, and investigate their likely causes, with the aim of refining algorithm performance. Overall, about 2/3 of the MISR-retrieved AOT values fall within [0.05 or 20% x AOT] of <span class="hlt">Aerosol</span> Robotic Network (AERONET). More than a third are within [0.03 or 10% x AOT]. Correlation coefficients are highest for maritime stations (approx.0.9), and lowest for dusty sites (more than approx.0.7). Retrieved spectral slopes closely match Sun photometer values for Biomass burning and continental <span class="hlt">aerosol</span> types. Detailed comparisons suggest that adding to the algorithm climatology more absorbing spherical particles, more realistic dust analogs, and a richer selection of multimodal <span class="hlt">aerosol</span> mixtures would reduce the remaining discrepancies for MISR retrievals over land; in addition, refining instrument low-light-level calibration could reduce or eliminate a small but systematic offset in maritime AOT values. On the basis of cases for which current particle models are representative, a second-generation MISR <span class="hlt">aerosol</span> retrieval algorithm incorporating these improvements could provide AOT accuracy unprecedented for a spaceborne technique.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2010JPhB...43s4013B','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2010JPhB...43s4013B"><span>Single-particle coherent diffractive <span class="hlt">imaging</span> with a soft x-ray free electron laser: towards soot <span class="hlt">aerosol</span> morphology</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Bogan, Michael J.; Starodub, Dmitri; Hampton, Christina Y.; Sierra, Raymond G.</p> <p>2010-10-01</p> <p>The first of its kind, the Free electron LASer facility in Hamburg, FLASH, produces soft x-ray pulses with unprecedented properties (10 fs, 6.8-47 nm, 1012 photons per pulse, 20 µm diameter). One of the seminal FLASH experiments is single-pulse coherent x-ray diffractive <span class="hlt">imaging</span> (CXDI). CXDI utilizes the ultrafast and ultrabright pulses to overcome resolution limitations in x-ray microscopy imposed by x-ray-induced damage to the sample by 'diffracting before destroying' the sample on sub-picosecond timescales. For many lensless <span class="hlt">imaging</span> algorithms used for CXDI it is convenient when the data satisfy an oversampling constraint that requires the sample to be an isolated object, i.e. an individual 'free-standing' portion of disordered matter delivered to the centre of the x-ray focus. By definition, this type of matter is an <span class="hlt">aerosol</span>. This paper will describe the role of <span class="hlt">aerosol</span> science methodologies used for the validation of the 'diffract before destroy' hypothesis and the execution of the first single-particle CXDI experiments being developed for biological <span class="hlt">imaging</span>. FLASH CXDI now enables the highest resolution <span class="hlt">imaging</span> of single micron-sized or smaller airborne particulate matter to date while preserving the native substrate-free state of the <span class="hlt">aerosol</span>. Electron microscopy offers higher resolution for single-particle analysis but the <span class="hlt">aerosol</span> must be captured on a substrate, potentially modifying the particle morphology. Thus, FLASH is poised to contribute significant advancements in our knowledge of <span class="hlt">aerosol</span> morphology and dynamics. As an example, we simulate CXDI of combustion particle (soot) morphology and introduce the concept of extracting radius of gyration of fractal aggregates from single-pulse x-ray diffraction data. Future upgrades to FLASH will enable higher spatially and temporally resolved single-particle <span class="hlt">aerosol</span> dynamics studies, filling a critical technological need in <span class="hlt">aerosol</span> science and nanotechnology. Many of the methodologies described for FLASH will</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2014ACPD...1432177B','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2014ACPD...1432177B"><span>Using the OMI <span class="hlt">Aerosol</span> Index and Absorption <span class="hlt">Aerosol</span> Optical Depth to evaluate the NASA MERRA <span class="hlt">Aerosol</span> Reanalysis</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Buchard, V.; da Silva, A. M.; Colarco, P. R.; Darmenov, A.; Randles, C. A.; Govindaraju, R.; Torres, O.; Campbell, J.; Spurr, R.</p> <p>2014-12-01</p> <p>A radiative transfer interface has been developed to simulate the UV <span class="hlt">Aerosol</span> Index (AI) from the NASA Goddard Earth Observing System version 5 (GEOS-5) <span class="hlt">aerosol</span> assimilated fields. The purpose of this work is to use the AI and <span class="hlt">Aerosol</span> Absorption Optical Depth (AAOD) derived from the Ozone Monitoring Instrument (OMI) measurements as independent validation for the Modern Era Retrospective analysis for Research and Applications <span class="hlt">Aerosol</span> Reanalysis (MERRAero). MERRAero is based on a version of the GEOS-5 model that is radiatively coupled to the Goddard Chemistry, <span class="hlt">Aerosol</span>, Radiation, and Transport (GOCART) <span class="hlt">aerosol</span> module and includes assimilation of <span class="hlt">Aerosol</span> Optical Depth (AOD) from the Moderate Resolution <span class="hlt">Imaging</span> Spectroradiometer (MODIS) sensor. Since AI is dependent on <span class="hlt">aerosol</span> concentration, optical properties and altitude of the <span class="hlt">aerosol</span> layer, we make use of complementary observations to fully diagnose the model, including AOD from the Multi-angle <span class="hlt">Imaging</span> SpectroRadiometer (MISR), <span class="hlt">aerosol</span> retrievals from the <span class="hlt">Aerosol</span> Robotic Network (AERONET) and attenuated backscatter coefficients from the Cloud-<span class="hlt">Aerosol</span> Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) mission to ascertain potential misplacement of plume height by the model. By sampling dust, biomass burning and pollution events in 2007 we have compared model produced AI and AAOD with the corresponding OMI products, identifying regions where the model representation of absorbing <span class="hlt">aerosols</span> was deficient. As a result of this study over the Saharan dust region, we have obtained a new set of dust <span class="hlt">aerosol</span> optical properties that retains consistency with the MODIS AOD data that were assimilated, while resulting in better agreement with <span class="hlt">aerosol</span> absorption measurements from OMI. The analysis conducted over the South African and South American biomass burning regions indicates that revising the spectrally-dependent <span class="hlt">aerosol</span> absorption properties in the near-UV region improves the modeled-observed AI comparisons</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2015ACP....15.5743B','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2015ACP....15.5743B"><span>Using the OMI <span class="hlt">aerosol</span> index and absorption <span class="hlt">aerosol</span> optical depth to evaluate the NASA MERRA <span class="hlt">Aerosol</span> Reanalysis</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Buchard, V.; da Silva, A. M.; Colarco, P. R.; Darmenov, A.; Randles, C. A.; Govindaraju, R.; Torres, O.; Campbell, J.; Spurr, R.</p> <p>2015-05-01</p> <p>A radiative transfer interface has been developed to simulate the UV <span class="hlt">aerosol</span> index (AI) from the NASA Goddard Earth Observing System version 5 (GEOS-5) <span class="hlt">aerosol</span> assimilated fields. The purpose of this work is to use the AI and <span class="hlt">aerosol</span> absorption optical depth (AAOD) derived from the Ozone Monitoring Instrument (OMI) measurements as independent validation for the Modern Era Retrospective analysis for Research and Applications <span class="hlt">Aerosol</span> Reanalysis (MERRAero). MERRAero is based on a version of the GEOS-5 model that is radiatively coupled to the Goddard Chemistry, <span class="hlt">Aerosol</span>, Radiation, and Transport (GOCART) <span class="hlt">aerosol</span> module and includes assimilation of <span class="hlt">aerosol</span> optical depth (AOD) from the Moderate Resolution <span class="hlt">Imaging</span> Spectroradiometer (MODIS) sensor. Since AI is dependent on <span class="hlt">aerosol</span> concentration, optical properties and altitude of the <span class="hlt">aerosol</span> layer, we make use of complementary observations to fully diagnose the model, including AOD from the Multi-angle <span class="hlt">Imaging</span> SpectroRadiometer (MISR), <span class="hlt">aerosol</span> retrievals from the <span class="hlt">AErosol</span> RObotic NETwork (AERONET) and attenuated backscatter coefficients from the Cloud-<span class="hlt">Aerosol</span> Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) mission to ascertain potential misplacement of plume height by the model. By sampling dust, biomass burning and pollution events in 2007 we have compared model-produced AI and AAOD with the corresponding OMI products, identifying regions where the model representation of absorbing <span class="hlt">aerosols</span> was deficient. As a result of this study over the Saharan dust region, we have obtained a new set of dust <span class="hlt">aerosol</span> optical properties that retains consistency with the MODIS AOD data that were assimilated, while resulting in better agreement with <span class="hlt">aerosol</span> absorption measurements from OMI. The analysis conducted over the southern African and South American biomass burning regions indicates that revising the spectrally dependent <span class="hlt">aerosol</span> absorption properties in the near-UV region improves the modeled-observed AI comparisons</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.ncbi.nlm.nih.gov/pubmed/20542412','PUBMED'); return false;" href="https://www.ncbi.nlm.nih.gov/pubmed/20542412"><span>The Cognitive Assessment Interview (<span class="hlt">CAI</span>): development and validation of an empirically derived, brief interview-based measure of cognition.</span></a></p> <p><a target="_blank" href="https://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pubmed">PubMed</a></p> <p>Ventura, Joseph; Reise, Steven P; Keefe, Richard S E; Baade, Lyle E; Gold, James M; Green, Michael F; Kern, Robert S; Mesholam-Gately, Raquelle; Nuechterlein, Keith H; Seidman, Larry J; Bilder, Robert M</p> <p>2010-08-01</p> <p>Practical, reliable "real world" measures of cognition are needed to supplement neurocognitive performance data to evaluate possible efficacy of new drugs targeting cognitive deficits associated with schizophrenia. Because interview-based measures of cognition offer one possible approach, data from the MATRICS initiative (n=176) were used to examine the psychometric properties of the Schizophrenia Cognition Rating Scale (SCoRS) and the Clinical Global Impression of Cognition in Schizophrenia (CGI-CogS). We used classical test theory methods and item response theory to derive the 10-item Cognitive Assessment Interview (<span class="hlt">CAI</span>) from the SCoRS and CGI-CogS ("parent instruments"). Sources of information for <span class="hlt">CAI</span> ratings included the patient and an informant. Validity analyses examined the relationship between the <span class="hlt">CAI</span> and objective measures of cognitive functioning, intermediate measures of cognition, and functional outcome. The rater's score from the newly derived <span class="hlt">CAI</span> (10 items) correlate highly (r=.87) with those from the combined set of the SCoRS and CGI-CogS (41 items). Both the patient (r=.82) and the informant (r=.95) data were highly correlated with the rater's score. The <span class="hlt">CAI</span> was modestly correlated with objectively measured neurocognition (r=-.32), functional capacity (r=-.44), and functional outcome (r=-.32), which was comparable to the parent instruments. The <span class="hlt">CAI</span> allows for expert judgment in evaluating a patient's cognitive functioning and was modestly correlated with neurocognitive functioning, functional capacity, and functional outcome. The <span class="hlt">CAI</span> is a brief, repeatable, and potentially valuable tool for rating cognition in schizophrenia patients who are participating in clinical trials. Copyright 2010 Elsevier B.V. All rights reserved.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017GeCoA.201...25W','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017GeCoA.201...25W"><span>Thermal and chemical evolution in the early solar system as recorded by FUN <span class="hlt">CAIs</span>: Part I - Petrology, mineral chemistry, and isotopic composition of Allende FUN <span class="hlt">CAI</span> CMS-1</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Williams, C. D.; Ushikubo, T.; Bullock, E. S.; Janney, P. E.; Hines, R. R.; Kita, N. T.; Hervig, R. L.; MacPherson, G. J.; Mendybaev, R. A.; Richter, F. M.; Wadhwa, M.</p> <p>2017-03-01</p> <p>Detailed petrologic, geochemical and isotopic analyses of a new FUN <span class="hlt">CAI</span> from the Allende CV3 meteorite (designated CMS-1) indicate that it formed by extensive melting and evaporation of primitive precursor material(s). The precursor material(s) condensed in a 16O-rich region (δ17O and δ18O ∼ -49‰) of the inner solar nebula dominated by gas of solar composition at total pressures of ∼10-3-10-6 bar. Subsequent melting of the precursor material(s) was accompanied by evaporative loss of magnesium, silicon and oxygen resulting in large mass-dependent isotope fractionations in these elements (δ25Mg = 30.71-39.26‰, δ29Si = 14.98-16.65‰, and δ18O = -41.57 to -15.50‰). This evaporative loss resulted in a bulk composition similar to that of compact Type A and Type B <span class="hlt">CAIs</span>, but very distinct from the composition of the original precursor condensate(s). Kinetic fractionation factors and the measured mass-dependent fractionation of silicon and magnesium in CMS-1 suggest that ∼80% of the silicon and ∼85% of the magnesium were lost from its precursor material(s) through evaporative processes. These results suggest that the precursor material(s) of normal and FUN <span class="hlt">CAIs</span> condensed in similar environments, but subsequently evolved under vastly different conditions such as total gas pressure. The chemical and isotopic differences between normal and FUN <span class="hlt">CAIs</span> could be explained by sorting of early solar system materials into distinct physical and chemical regimes, in conjunction with discrete heating events, within the protoplanetary disk.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.pubmedcentral.nih.gov/articlerender.fcgi?tool=pmcentrez&artid=3184638','PMC'); return false;" href="https://www.pubmedcentral.nih.gov/articlerender.fcgi?tool=pmcentrez&artid=3184638"><span>The Cognitive Assessment Interview (<span class="hlt">CAI</span>): Development and Validation of an Empirically Derived, Brief Interview-Based Measure of Cognition</span></a></p> <p><a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pmc">PubMed Central</a></p> <p>Ventura, Joseph; Reise, Steven P.; Keefe, Richard S. E.; Baade, Lyle E.; Gold, James M.; Green, Michael F.; Kern, Robert S.; Mesholam-Gately, Raquelle; Nuechterlein, Keith H.; Seidman, Larry J.; Bilder, Robert M.</p> <p>2011-01-01</p> <p>Background Practical, reliable “real world” measures of cognition are needed to supplement neurocognitive performance data to evaluate possible efficacy of new drugs targeting cognitive deficits associated with schizophrenia. Because interview-based measures of cognition offer one possible approach, data from the MATRICS initiative (n=176) were used to examine the psychometric properties of the Schizophrenia Cognition Rating Scale (SCoRS) and the Clinical Global Impression of Cognition in Schizophrenia (CGI-CogS). Method We used classical test theory methods and item response theory to derive the 10 item Cognitive Assessment Interview (<span class="hlt">CAI</span>) from the SCoRS and CGI-Cogs (“parent instruments”). Sources of information for <span class="hlt">CAI</span> ratings included the patient and an informant. Validity analyses examined the relationship between the <span class="hlt">CAI</span> and objective measures of cognitive functioning, intermediate measures of cognition, and functional outcome. Results The rater’s score from the newly derived <span class="hlt">CAI</span> (10-items) correlate highly (r = .87) with those from the combined set of the SCoRS and CGI-CogS (41 items). Both the patient (r= .82) and the informant (r= .95) data were highly correlated with the rater’s score. The <span class="hlt">CAI</span> was modestly correlated with objectively measured neurocognition (r = −.32), functional capacity (r = −.44), and functional outcome (r = −.32), which was comparable to the parent instruments. Conclusions The <span class="hlt">CAI</span> allows for expert judgment in evaluating a patient’s cognitive functioning and was modestly correlated with neurocognitive functioning, functional capacity, and functional outcome. The <span class="hlt">CAI</span> is a brief, repeatable, and potentially valuable tool for rating cognition in schizophrenia patients who are participating in clinical trials. PMID:20542412</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017LPICo1987.6355F','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017LPICo1987.6355F"><span>Oxygen, Magnesium, and Aluminum Isotopes in the Ivuna <span class="hlt">CAI</span>: Re-Examining High-Temperature Fractionations in CI Chondrites</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Frank, D. R.; Huss, G. R.; Nagashima, K.; Zolensky, M. E.; Le, L.</p> <p>2017-07-01</p> <p>The only whole <span class="hlt">CAI</span> preserved in the aqueously altered CI chondrites is 16O-rich and has no resolvable radiogenic Mg. Accretion of <span class="hlt">CAIs</span> by the CI parent object(s) may limit the precision of cosmochemical models that require a CI starting composition.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017AGUFM.A31D2209M','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017AGUFM.A31D2209M"><span>Investigating <span class="hlt">Aerosol</span> Morphology Using Scattering Phase Functions Measured with a Laser <span class="hlt">Imaging</span> Nephelometer</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Manfred, K.; Adler, G. A.; Erdesz, F.; Franchin, A.; Lamb, K. D.; Schwarz, J. P.; Wagner, N.; Washenfelder, R. A.; Womack, C.; Murphy, D. M.</p> <p>2017-12-01</p> <p>Particle morphology has important implications for light scattering and radiative transfer, but can be difficult to measure. Biomass burning and other important <span class="hlt">aerosol</span> sources can generate a mixture of both spherical and non-spherical particle morphologies, and it is necessary to represent these populations correctly in models. We describe a laser <span class="hlt">imaging</span> nephelometer that measures the unpolarized scattering phase function of bulk <span class="hlt">aerosol</span> at 375 and 405 nm using a wide-angle lens and CCD. We deployed this instrument to the Missoula Fire Sciences Laboratory to measure biomass burning <span class="hlt">aerosol</span> morphology from controlled fires during the recent FIREX intensive laboratory study. Total integrated scattering signal agreed with that determined by a cavity ring-down photoacoustic spectrometer system and a traditional integrating nephelometer within instrument uncertainties. We compared measured scattering phase functions at 405 nm to theoretical models for spherical (Mie) and fractal (Rayleigh-Debye-Gans) particle morphologies based on the size distribution reported by an optical particle counter. We show that particle morphology can vary dramatically for different fuel types, and present results for two representative fires (pine tree vs arid shrub). We find that Mie theory is inadequate to describe the actual behavior of realistic <span class="hlt">aerosols</span> from biomass burning in some situations. This study demonstrates the capabilities of the laser <span class="hlt">imaging</span> nephelometer instrument to provide real-time, in situ information about dominant particle morphology that is vital for accurate radiative transfer calculations.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://ntrs.nasa.gov/search.jsp?R=20160009531&hterms=Remote+sensing&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D70%26Ntt%3DRemote%2Bsensing','NASA-TRS'); return false;" href="https://ntrs.nasa.gov/search.jsp?R=20160009531&hterms=Remote+sensing&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D70%26Ntt%3DRemote%2Bsensing"><span>New Satellite Project <span class="hlt">Aerosol</span>-UA: Remote Sensing of <span class="hlt">Aerosols</span> in the Terrestrial Atmosphere</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Milinevsky, G.; Yatskiv, Ya.; Degtyaryov, O.; Syniavskyi, I.; Mishchenko, Michael I.; Rosenbush, V.; Ivanov, Yu.; Makarov, A.; Bovchaliuk, A.; Danylevsky, V.; <a style="text-decoration: none; " href="javascript:void(0); " onClick="displayelement('author_20160009531'); toggleEditAbsImage('author_20160009531_show'); toggleEditAbsImage('author_20160009531_hide'); "> <img style="display:inline; width:12px; height:12px; " src="images/arrow-up.gif" width="12" height="12" border="0" alt="hide" id="author_20160009531_show"> <img style="width:12px; height:12px; display:none; " src="images/arrow-down.gif" width="12" height="12" border="0" alt="hide" id="author_20160009531_hide"></p> <p>2016-01-01</p> <p>We discuss the development of the Ukrainian space project <span class="hlt">Aerosol</span>-UA which has the following three main objectives: (1) to monitor the spatial distribution of key characteristics of terrestrial tropospheric and stratospheric <span class="hlt">aerosols</span>; (2) to provide a comprehensive observational database enabling accurate quantitative estimates of the <span class="hlt">aerosol</span> contribution to the energy budget of the climate system; and (3) quantify the contribution of anthropogenic <span class="hlt">aerosols</span> to climate and ecological processes. The remote sensing concept of the project is based on precise orbital measurements of the intensity and polarization of sunlight scattered by the atmosphere and the surface with a scanning polarimeter accompanied by a wide-angle multispectral <span class="hlt">imager</span>-polarimeter. Preparations have already been made for the development of the instrument suite for the <span class="hlt">Aerosol</span>-UA project, in particular, of the multi-channel scanning polarimeter (ScanPol) designed for remote sensing studies of the global distribution of <span class="hlt">aerosol</span> and cloud properties (such as particle size, morphology, and composition) in the terrestrial atmosphere by polarimetric and spectrophotometric measurements of the scattered sunlight in a wide range of wavelengths and viewing directions from which a scene location is observed. ScanPol is accompanied by multispectral wide-angle <span class="hlt">imager</span>-polarimeter (MSIP) that serves to collect information on cloud conditions and Earths surface <span class="hlt">image</span>. Various components of the polarimeter ScanPol have been prototyped, including the opto-mechanical and electronic assemblies and the scanning mirror controller. Preliminary synthetic data simulations for the retrieval of <span class="hlt">aerosol</span> parameters over land surfaces have been performed using the Generalized Retrieval of <span class="hlt">Aerosol</span> and Surface Properties (GRASP) algorithm. Methods for the validation of satellite data using ground-based observations of <span class="hlt">aerosol</span> properties are also discussed. We assume that designing, building, and launching into orbit a multi</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://ntrs.nasa.gov/search.jsp?R=20120017001&hterms=deep+processing+time&qs=N%3D0%26Ntk%3DAll%26Ntx%3Dmode%2Bmatchall%26Ntt%3Ddeep%2Bprocessing%2Btime','NASA-TRS'); return false;" href="https://ntrs.nasa.gov/search.jsp?R=20120017001&hterms=deep+processing+time&qs=N%3D0%26Ntk%3DAll%26Ntx%3Dmode%2Bmatchall%26Ntt%3Ddeep%2Bprocessing%2Btime"><span>Impacts of Cross-Platform Vicarious Calibration on the Deep Blue <span class="hlt">Aerosol</span> Retrievals for Moderate Resolution <span class="hlt">Imaging</span> Spectroradiometer Aboard Terra</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Jeong, Myeong-Jae; Hsu, N. Christina; Kwiatkowska, Ewa J.; Franz, Bryan A.; Meister, Gerhard; Salustro, Clare E.</p> <p>2012-01-01</p> <p>The retrieval of <span class="hlt">aerosol</span> properties from spaceborne sensors requires highly accurate and precise radiometric measurements, thus placing stringent requirements on sensor calibration and characterization. For the Terra/Moderate Resolution <span class="hlt">Imaging</span> Spedroradiometer (MODIS), the characteristics of the detectors of certain bands, particularly band 8 [(B8); 412 nm], have changed significantly over time, leading to increased calibration uncertainty. In this paper, we explore a possibility of utilizing a cross-calibration method developed for characterizing the Terral MODIS detectors in the ocean bands by the National Aeronautics and Space Administration Ocean Biology Processing Group to improve <span class="hlt">aerosol</span> retrieval over bright land surfaces. We found that the Terra/MODIS B8 reflectance corrected using the cross calibration method resulted in significant improvements for the retrieved <span class="hlt">aerosol</span> optical thickness when compared with that from the Multi-angle <span class="hlt">Imaging</span> Spectroradiometer, Aqua/MODIS, and the <span class="hlt">Aerosol</span> Robotic Network. The method reported in this paper is implemented for the operational processing of the Terra/MODIS Deep Blue <span class="hlt">aerosol</span> products.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://files.eric.ed.gov/fulltext/ED078681.pdf','ERIC'); return false;" href="http://files.eric.ed.gov/fulltext/ED078681.pdf"><span>An Intelligent <span class="hlt">CAI</span> Monitor and Generative Tutor. Interim Report.</span></a></p> <p><a target="_blank" href="http://www.eric.ed.gov/ERICWebPortal/search/extended.jsp?_pageLabel=advanced">ERIC Educational Resources Information Center</a></p> <p>Koffman, Elliot B.; And Others</p> <p></p> <p>Design techniques for generative computer-assisted-instructional (<span class="hlt">CAI</span>) systems are described in this report. These are systems capable of generating problems for students and of deriving and monitoring solutions; problem difficulty, instructional pace, and depth of monitoring are all individually tailored and parts of the solution algorithms can…</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://files.eric.ed.gov/fulltext/ED343582.pdf','ERIC'); return false;" href="http://files.eric.ed.gov/fulltext/ED343582.pdf"><span>The <span class="hlt">CAI</span>/Cooperative Learning Project. First Year Evaluation Report.</span></a></p> <p><a target="_blank" href="http://www.eric.ed.gov/ERICWebPortal/search/extended.jsp?_pageLabel=advanced">ERIC Educational Resources Information Center</a></p> <p>Beyer, Francine S.</p> <p></p> <p>This report presents a first year evaluation of the Computer Assisted Instruction (<span class="hlt">CAI</span>)/ Cooperative Learning Project, a 3-year collaborative effort by two Pennsylvania school districts--the Pittston Area School District and the Hatboro-Horsham School District--and Research for Better Schools (RBS). The project proposed to integrate advanced…</p> </li> </ol> <div class="pull-right"> <ul class="pagination"> <li><a href="#" onclick='return showDiv("page_1");'>«</a></li> <li><a href="#" onclick='return showDiv("page_4");'>4</a></li> <li><a href="#" onclick='return showDiv("page_5");'>5</a></li> <li class="active"><span>6</span></li> <li><a href="#" onclick='return showDiv("page_7");'>7</a></li> <li><a href="#" onclick='return showDiv("page_8");'>8</a></li> <li><a href="#" onclick='return showDiv("page_25");'>»</a></li> </ul> </div> </div><!-- col-sm-12 --> </div><!-- row --> </div><!-- page_6 --> <div id="page_7" class="hiddenDiv"> <div class="row"> <div class="col-sm-12"> <div class="pull-right"> <ul class="pagination"> <li><a href="#" onclick='return showDiv("page_1");'>«</a></li> <li><a href="#" onclick='return showDiv("page_5");'>5</a></li> <li><a href="#" onclick='return showDiv("page_6");'>6</a></li> <li class="active"><span>7</span></li> <li><a href="#" onclick='return showDiv("page_8");'>8</a></li> <li><a href="#" onclick='return showDiv("page_9");'>9</a></li> <li><a href="#" onclick='return showDiv("page_25");'>»</a></li> </ul> </div> </div> </div> <div class="row"> <div class="col-sm-12"> <ol class="result-class" start="121"> <li> <p><a target="_blank" onclick="trackOutboundLink('http://files.eric.ed.gov/fulltext/EJ1066307.pdf','ERIC'); return false;" href="http://files.eric.ed.gov/fulltext/EJ1066307.pdf"><span>A Study of Effectiveness of Computer Assisted Instruction (<span class="hlt">CAI</span>) over Classroom Lecture (CRL) at ICS Level</span></a></p> <p><a target="_blank" href="http://www.eric.ed.gov/ERICWebPortal/search/extended.jsp?_pageLabel=advanced">ERIC Educational Resources Information Center</a></p> <p>Kaousar, Tayyeba; Choudhry, Bushra Naoreen; Gujjar, Aijaz Ahmed</p> <p>2008-01-01</p> <p>This study was aimed to evaluate the effectiveness of <span class="hlt">CAI</span> vs. classroom lecture for computer science at ICS level. The objectives were to compare the learning effects of two groups with classroom lecture and computer-assisted instruction studying the same curriculum and the effects of <span class="hlt">CAI</span> and CRL in terms of cognitive development. Hypotheses of…</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/1997JGR...10217051K','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/1997JGR...10217051K"><span>Operational remote sensing of tropospheric <span class="hlt">aerosol</span> over land from EOS moderate resolution <span class="hlt">imaging</span> spectroradiometer</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Kaufman, Y. J.; Tanré, D.; Remer, L. A.; Vermote, E. F.; Chu, A.; Holben, B. N.</p> <p>1997-07-01</p> <p>Daily distribution of the <span class="hlt">aerosol</span> optical thickness and columnar mass concentration will be derived over the continents, from the EOS moderate resolution <span class="hlt">imaging</span> spectroradiometer (MODIS) using dark land targets. Dark land covers are mainly vegetated areas and dark soils observed in the red and blue channels; therefore the method will be limited to the moist parts of the continents (excluding water and ice cover). After the launch of MODIS the distribution of elevated <span class="hlt">aerosol</span> concentrations, for example, biomass burning in the tropics or urban industrial <span class="hlt">aerosol</span> in the midlatitudes, will be continuously monitored. The algorithm takes advantage of the MODIS wide spectral range and high spatial resolution and the strong spectral dependence of the <span class="hlt">aerosol</span> opacity for most <span class="hlt">aerosol</span> types that result in low optical thickness in the mid-IR (2.1 and 3.8 μm). The main steps of the algorithm are (1) identification of dark pixels in the mid-IR; (2) estimation of their reflectance at 0.47 and 0.66 μm; and (3) derivation of the optical thickness and mass concentration of the accumulation mode from the detected radiance. To differentiate between dust and <span class="hlt">aerosol</span> dominated by accumulation mode particles, for example, smoke or sulfates, ratios of the <span class="hlt">aerosol</span> path radiance at 0.47 and 0.66 μm are used. New dynamic <span class="hlt">aerosol</span> models for biomass burning <span class="hlt">aerosol</span>, dust and <span class="hlt">aerosol</span> from industrial/urban origin, are used to determine the <span class="hlt">aerosol</span> optical properties used in the algorithm. The error in the retrieved <span class="hlt">aerosol</span> optical thicknesses, τa is expected to be Δτa = 0.05±0.2τa. Daily values are stored on a resolution of 10×10 pixels (1 km nadir resolution). Weighted and gridded 8-day and monthly composites of the optical thickness, the <span class="hlt">aerosol</span> mass concentration and spectral radiative forcing are generated for selected scattering angles to increase the accuracy. The daily <span class="hlt">aerosol</span> information over land and oceans [Tanré et al., this issue], combined with continuous <span class="hlt">aerosol</span> remote</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.osti.gov/biblio/22078296-variable-extreme-irradiation-conditions-early-solar-system-inferred-from-initial-abundance-sup-isheyevo-cais','SCIGOV-STC'); return false;" href="https://www.osti.gov/biblio/22078296-variable-extreme-irradiation-conditions-early-solar-system-inferred-from-initial-abundance-sup-isheyevo-cais"><span>VARIABLE AND EXTREME IRRADIATION CONDITIONS IN THE EARLY SOLAR SYSTEM INFERRED FROM THE INITIAL ABUNDANCE OF {sup 10}Be IN ISHEYEVO <span class="hlt">CAIs</span></span></a></p> <p><a target="_blank" href="http://www.osti.gov/search">DOE Office of Scientific and Technical Information (OSTI.GOV)</a></p> <p>Gounelle, Matthieu; Chaussidon, Marc; Rollion-Bard, Claire, E-mail: gounelle@mnhn.fr</p> <p>2013-02-01</p> <p>A search for short-lived {sup 10}Be in 21 calcium-aluminum-rich inclusions (<span class="hlt">CAIs</span>) from Isheyevo, a rare CB/CH chondrite, showed that only 5 <span class="hlt">CAIs</span> had {sup 10}B/{sup 11}B ratios higher than chondritic correlating with the elemental ratio {sup 9}Be/{sup 11}B, suggestive of in situ decay of this key short-lived radionuclide. The initial ({sup 10}Be/{sup 9}Be){sub 0} ratios vary between {approx}10{sup -3} and {approx}10{sup -2} for <span class="hlt">CAI</span> 411. The initial ratio of <span class="hlt">CAI</span> 411 is one order of magnitude higher than the highest ratio found in CV3 <span class="hlt">CAIs</span>, suggesting that the more likely origin of <span class="hlt">CAI</span> 411 {sup 10}Be is early solar systemmore » irradiation. The low ({sup 26}Al/{sup 27}Al){sub 0} [{<=} 8.9 Multiplication-Sign 10{sup -7}] with which <span class="hlt">CAI</span> 411 formed indicates that it was exposed to gradual flares with a proton fluence of a few 10{sup 19} protons cm{sup -2}, during the earliest phases of the solar system, possibly the infrared class 0. The irradiation conditions for other <span class="hlt">CAIs</span> are less well constrained, with calculated fluences ranging between a few 10{sup 19} and 10{sup 20} protons cm{sup -2}. The variable and extreme value of the initial {sup 10}Be/{sup 9}Be ratios in carbonaceous chondrite <span class="hlt">CAIs</span> is the reflection of the variable and extreme magnetic activity in young stars observed in the X-ray domain.« less</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20090020501','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20090020501"><span>Rare Earth Element Measurements of Melilite and Fassaite in Allende <span class="hlt">Cai</span> by Nanosims</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Ito, M.; Messenger, Scott</p> <p>2009-01-01</p> <p>The rare earth elements (REEs) are concentrated in <span class="hlt">CAIs</span> by approx. 20 times the chondritic average [e.g., 1]. The REEs in <span class="hlt">CAIs</span> are important to understand processes of <span class="hlt">CAI</span> formation including the role of volatilization, condensation, and fractional crystallization [1,2]. REE measurements are a well established application of ion microprobes [e.g., 3]. However the spatial resolution of REE measurements by ion microprobe (approx.20 m) is not adequate to resolve heterogeneous distributions of REEs among/within minerals. We have developed methods for measuring REE with the NanoSIMS 50L at smaller spatial scales. Here we present our initial measurements of REEs in melilite and fassaite in an Allende Type-A <span class="hlt">CAI</span> with the JSC NanoSIMS 50L. We found that the key parameters for accurate REE abundance measurements differ between the NanoSIMS and conventional SIMS, in particular the oxide-to-element ratios, the relative sensitivity factors, the energy distributions, and requisite energy offset. Our REE abundance measurements of the 100 ppm REE diopside glass standards yielded good reproducibility and accuracy, 0.5-2.5 % and 5-25 %, respectively. We determined abundances and spatial distributions of REEs in core and rim within single crystals of fassaite, and adjacent melilite with 5-10 m spatial resolution. The REE abundances in fassaite core and rim are 20-100 times CI abundance but show a large negative Eu anomaly, exhibiting a well-defined Group III pattern. This is consistent with previous work [4]. On the other hand, adjacent melilite shows modified Group II pattern with no strong depletions of Eu and Yb, and no Tm positive anomaly. REE abundances (2-10 x CI) were lower than that of fassaite. These patterns suggest that fassaite crystallized first followed by a crystallization of melilite from the residual melt. In future work, we will carry out a correlated study of O and Mg isotopes and REEs of the <span class="hlt">CAI</span> in order to better understand the nature and timescales of its</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20140012819','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20140012819"><span>Stable Magnesium Isotope Variation in Melilite Mantle of Allende Type B1 <span class="hlt">CAI</span> EK 459-5-1</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Kerekgyarto, A. G.; Jeffcoat, C. R.; Lapen, T. J.; Andreasen, R.; Righter, M.; Ross, D. K.</p> <p>2014-01-01</p> <p>Ca-Al-rich inclusions (<span class="hlt">CAIs</span>) are the earliest formed crystalline material in our solar system and they record early Solar System processes. Here we present petrographic and delta Mg-25 data of melilite mantles in a Type B1 <span class="hlt">CAI</span> that records early solar nebular processes.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2016AGUFM.A32A..03D','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2016AGUFM.A32A..03D"><span>Multi-Angle <span class="hlt">Imager</span> for <span class="hlt">Aerosols</span> (MAIA) Investigation of Airborne Particle Health Impacts</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Diner, D. J.</p> <p>2016-12-01</p> <p>Airborne particulate matter (PM) is a well-known cause of heart disease, cardiovascular and respiratory illness, low birth weight, and lung cancer. The Global Burden of Disease (GBD) Study ranks PM as a major environmental risk factor worldwide. Global maps of PM2.5concentrations derived from satellite instruments, including MISR and MODIS, have provided key contributions to the GBD and many other health-related investigations. Although it is well established that PM exposure increases the risks of mortality and morbidity, our understanding of the relative toxicity of specific PM types is relatively poor. To address this, the Multi-Angle <span class="hlt">Imager</span> for <span class="hlt">Aerosols</span> (MAIA) investigation was proposed to NASA's third Earth Venture Instrument (EVI-3) solicitation. The satellite instrument that is part of the investigation is a multiangle, multispectral, and polarimetric camera system based on the first and second generation Airborne Multiangle SpectroPolarimetric <span class="hlt">Imagers</span>, AirMSPI and AirMSPI-2. MAIA was selected for funding in March 2016. Estimates of the abundances of different <span class="hlt">aerosol</span> types from the WRF-Chem model will be combined with MAIA instrument data. Geostatistical models derived from collocated surface and MAIA retrievals will then be used to relate retrieved fractional column <span class="hlt">aerosol</span> optical depths to near-surface concentrations of major PM constituents, including sulfate, nitrate, organic carbon, black carbon, and dust. Epidemiological analyses of geocoded birth, death, and hospital records will be used to associate exposure to PM types with adverse health outcomes. MAIA launch is planned for early in the next decade. The MAIA instrument incorporates a pair of cameras on a two-axis gimbal to provide regional multiangle observations of selected, globally distributed target areas. Primary Target Areas (PTAs) on five continents are chosen to include major population centers covering a range of PM concentrations and particle types, surface-based <span class="hlt">aerosol</span> sunphotometers</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.ncbi.nlm.nih.gov/pubmed/9841405','PUBMED'); return false;" href="https://www.ncbi.nlm.nih.gov/pubmed/9841405"><span>Oxygen reservoirs in the early solar nebula inferred from an Allende <span class="hlt">CAI</span>.</span></a></p> <p><a target="_blank" href="https://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pubmed">PubMed</a></p> <p>Young, E D; Russell, S S</p> <p>1998-10-16</p> <p>Ultraviolet laser microprobe analyses of a calcium-aluminum-rich inclusion (<span class="hlt">CAI</span>) from the Allende meteorite suggest that a line with a slope of exactly 1.00 on a plot of delta (17)O against delta (18)O represents the primitive oxygen isotope reservoir of the early solar nebula. Most meteorites are enriched in (17)O and (18)O relative to this line, and their oxygen isotope ratios can be explained by mass fractionation or isotope exchange initiating from the primitive reservoir. These data establish a link between the oxygen isotopic composition of the abundant ordinary chondrites and the primitive (16)O-rich component of <span class="hlt">CAIs</span>.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.ncbi.nlm.nih.gov/pubmed/9774267','PUBMED'); return false;" href="https://www.ncbi.nlm.nih.gov/pubmed/9774267"><span>Oxygen reservoirs in the early solar nebula inferred from an allende <span class="hlt">CAI</span></span></a></p> <p><a target="_blank" href="https://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pubmed">PubMed</a></p> <p>Young; Russell</p> <p>1998-10-16</p> <p>Ultraviolet laser microprobe analyses of a calcium-aluminum-rich inclusion (<span class="hlt">CAI</span>) from the Allende meteorite suggest that a line with a slope of exactly 1.00 on a plot of delta17O against delta18O represents the primitive oxygen isotope reservoir of the early solar nebula. Most meteorites are enriched in 17O and 18O relative to this line, and their oxygen isotope ratios can be explained by mass fractionation or isotope exchange initiating from the primitive reservoir. These data establish a link between the oxygen isotopic composition of the abundant ordinary chondrites and the primitive 16O-rich component of <span class="hlt">CAIs</span>.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2010SPIE.7588E..0ED','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2010SPIE.7588E..0ED"><span>Characterization of <span class="hlt">aerosol</span> scattering and spectral absorption by unique methods: a polar/<span class="hlt">imaging</span> nephelometer and spectral reflectance measurements of <span class="hlt">aerosol</span> samples collected on filters</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Dolgos, Gergely; Martins, J. Vanderlei; Remer, Lorraine A.; Correia, Alexandre L.; Tabacniks, Manfredo; Lima, Adriana R.</p> <p>2010-02-01</p> <p>Characterization of <span class="hlt">aerosol</span> scattering and absorption properties is essential to accurate radiative transfer calculations in the atmosphere. Applications of this work include remote sensing of <span class="hlt">aerosols</span>, corrections for <span class="hlt">aerosol</span> distortions in satellite imagery of the surface, global climate models, and atmospheric beam propagation. Here we demonstrate successful instrument development at the Laboratory for <span class="hlt">Aerosols</span>, Clouds and Optics at UMBC that better characterizes <span class="hlt">aerosol</span> scattering phase matrix using an <span class="hlt">imaging</span> polar nephelometer (LACO-I-Neph) and enables measurement of spectral <span class="hlt">aerosol</span> absorption from 200 nm to 2500 nm. The LACO-I-Neph measures the scattering phase function from 1.5° to 178.5° scattering angle with sufficient sensitivity to match theoretical expectations of Rayleigh scattering of various gases. Previous measurements either lack a sufficiently wide range of measured scattering angles or their sensitivity is too low and therefore the required sample amount is prohibitively high for in situ measurements. The LACO-I-Neph also returns expected characterization of the linear polarization signal of Rayleigh scattering. Previous work demonstrated the ability of measuring spectral absorption of <span class="hlt">aerosol</span> particles using a reflectance technique characterization of <span class="hlt">aerosol</span> samples collected on Nuclepore filters. This first generation methodology yielded absorption measurements from 350 nm to 2500 nm. Here we demonstrate the possibility of extending this wavelength range into the deep UV, to 200 nm. This extended UV region holds much promise in identifying and characterizing <span class="hlt">aerosol</span> types and species. The second generation, deep UV, procedure requires careful choice of filter substrates. Here the choice of substrates is explored and preliminary results are provided.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/19750022313','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/19750022313"><span>Alternative communication network designs for an operational Plato 4 <span class="hlt">CAI</span> system</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Mobley, R. E., Jr.; Eastwood, L. F., Jr.</p> <p>1975-01-01</p> <p>The cost of alternative communications networks for the dissemination of PLATO IV computer-aided instruction (<span class="hlt">CAI</span>) was studied. Four communication techniques are compared: leased telephone lines, satellite communication, UHF TV, and low-power microwave radio. For each network design, costs per student contact hour are computed. These costs are derived as functions of student population density, a parameter which can be calculated from census data for one potential market for <span class="hlt">CAI</span>, the public primary and secondary schools. Calculating costs in this way allows one to determine which of the four communications alternatives can serve this market least expensively for any given area in the U.S. The analysis indicates that radio distribution techniques are cost optimum over a wide range of conditions.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017JGRD..122.7004X','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017JGRD..122.7004X"><span>Coupled retrieval of <span class="hlt">aerosol</span> properties and land surface reflection using the Airborne Multiangle SpectroPolarimetric <span class="hlt">Imager</span></span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Xu, Feng; van Harten, Gerard; Diner, David J.; Kalashnikova, Olga V.; Seidel, Felix C.; Bruegge, Carol J.; Dubovik, Oleg</p> <p>2017-07-01</p> <p>The Airborne Multiangle SpectroPolarimetric <span class="hlt">Imager</span> (AirMSPI) has been flying aboard the NASA ER-2 high-altitude aircraft since October 2010. In step-and-stare operation mode, AirMSPI acquires radiance and polarization data in bands centered at 355, 380, 445, 470*, 555, 660*, 865*, and 935 nm (* denotes polarimetric bands). The <span class="hlt">imaged</span> area covers about 10 km by 11 km and is typically observed from nine viewing angles between ±66° off nadir. For a simultaneous retrieval of <span class="hlt">aerosol</span> properties and surface reflection using AirMSPI, an efficient and flexible retrieval algorithm has been developed. It imposes multiple types of physical constraints on spectral and spatial variations of <span class="hlt">aerosol</span> properties as well as spectral and temporal variations of surface reflection. Retrieval uncertainty is formulated by accounting for both instrumental errors and physical constraints. A hybrid Markov-chain/adding-doubling radiative transfer (RT) model is developed to combine the computational strengths of these two methods in modeling polarized RT in vertically inhomogeneous and homogeneous media, respectively. Our retrieval approach is tested using 27 AirMSPI data sets with low to moderately high <span class="hlt">aerosol</span> loadings, acquired during four NASA field campaigns plus one AirMSPI preengineering test flight. The retrieval results including <span class="hlt">aerosol</span> optical depth, single-scattering albedo, <span class="hlt">aerosol</span> size and refractive index are compared with <span class="hlt">Aerosol</span> Robotic Network reference data. We identify the best angular combinations for 2, 3, 5, and 7 angle observations from the retrieval quality assessment of various angular combinations. We also explore the benefits of polarimetric and multiangular measurements and target revisits in constraining <span class="hlt">aerosol</span> property and surface reflection retrieval.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20150018570','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20150018570"><span>Characterization of Meteorites by Focused Ion Beam Sectioning: Recent Applications to <span class="hlt">CAIs</span> and Primitive Meteorite Matrices</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Christoffersen, Roy; Keller, Lindsay P.; Han, Jangmi; Rahman, Zia; Berger, Eve L.</p> <p>2015-01-01</p> <p>Focused ion beam (FIB) sectioning has revolutionized preparation of meteorite samples for characterization by analytical transmission electron microscopy (TEM) and other techniques. Although FIB is not "non-destructive" in the purest sense, each extracted section amounts to no more than nanograms (approximately 500 cubic microns) removed intact from locations precisely controlled by SEM <span class="hlt">imaging</span> and analysis. Physical alteration of surrounding material by ion damage, fracture or sputter contamination effects is localized to within a few micrometers around the lift-out point. This leaves adjacent material intact for coordinate geochemical analysis by SIMS, microdrill extraction/TIMS and other techniques. After lift out, FIB sections can be quantitatively analyzed by electron microprobe prior to final thinning, synchrotron x-ray techniques, and by the full range of state-of-the-art analytical field-emission scanning transmission electron microscope (FE-STEM) techniques once thinning is complete. Multiple meteorite studies supported by FIB/FE-STEM are currently underway at NASA-JSC, including coordinated analysis of refractory phase assemblages in <span class="hlt">CAIs</span> and fine-grained matrices in carbonaceous chondrites. FIB sectioning of <span class="hlt">CAIs</span> has uncovered epitaxial and other overgrowth relations between corundum-hibonite-spinel consistent with hibonite preceding corundum and/or spinel in non-equilibrium condensation sequences at combinations of higher gas pressures, dust-gas enrichments or significant nebular transport. For all of these cases, the ability of FIB to allow for coordination with spatially-associated isotopic data by SIMS provides immense value for constraining the formation scenarios of the particular <span class="hlt">CAI</span> assemblage. For carbonaceous chondrites matrix material, FIB has allowed us to obtain intact continuous sections of the immediate outer surface of Murchison (CM2) after it has been experimentally ion processed to simulate solar wind space weathering. The surface</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2008E%26PSL.272..353J','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2008E%26PSL.272..353J"><span>26Al- 26Mg and 207Pb- 206Pb systematics of Allende <span class="hlt">CAIs</span>: Canonical solar initial 26Al/ 27Al ratio reinstated</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Jacobsen, Benjamin; Yin, Qing-zhu; Moynier, Frederic; Amelin, Yuri; Krot, Alexander N.; Nagashima, Kazuhide; Hutcheon, Ian D.; Palme, Herbert</p> <p>2008-07-01</p> <p>The precise knowledge of the initial 26Al/ 27Al ratio [( 26Al/ 27Al) 0] is crucial if we are to use the very first solid objects formed in our Solar System, calcium-aluminum-rich inclusions (<span class="hlt">CAIs</span>) as the "time zero" age-anchor and guide future work with other short-lived radio-chronometers in the early Solar System, as well as determining the inventory of heat budgets from radioactivities for early planetary differentiation. New high-precision multi-collector inductively-coupled plasma mass spectrometry (MC-ICP-MS) measurements of 27Al/ 24Mg ratios and Mg-isotopic compositions of nine whole-rock <span class="hlt">CAIs</span> (six mineralogically characterized fragments and three micro-drilled inclusions) from the CV carbonaceous chondrite, Allende yield a well-defined 26Al- 26Mg fossil isochron with an ( 26Al/ 27Al) 0 of (5.23 ± 0.13) × 10 - 5 . Internal mineral isochrons obtained for three of these <span class="hlt">CAIs</span> ( A44A, AJEF, and A43) are consistent with the whole-rock <span class="hlt">CAI</span> isochron. The mineral isochron of AJEF with ( 26Al/ 27Al) 0 = (4.96 ± 0.25) × 10 - 5 , anchored to our precisely determined absolute 207Pb- 206Pb age of 4567.60 ± 0.36 Ma for the same mineral separates, reinstate the "canonical" ( 26Al/ 27Al) 0 of 5 × 10 - 5 for the early Solar System. The uncertainty in ( 26Al/ 27Al) 0 corresponds to a maximum time span of ± 20 Ka (thousand years), suggesting that the Allende <span class="hlt">CAI</span> formation events were culminated within this time span. Although all Allende <span class="hlt">CAIs</span> studied experienced multistage formation history, including melting and evaporation in the solar nebula and post-crystallization alteration likely on the asteroidal parent body, the 26Al- 26Mg and U-Pb-isotopic systematics of the mineral separates and bulk <span class="hlt">CAIs</span> behaved largely as closed-system since their formation. Our data do not support the "supra-canonical" 26Al/ 27Al ratio of individual minerals or their mixtures in CV <span class="hlt">CAIs</span>, suggesting that the supra-canonical 26Al/ 27Al ratio in the CV <span class="hlt">CAIs</span> may have resulted from post</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017ACP....1713151C','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017ACP....1713151C"><span>Unveiling <span class="hlt">aerosol</span>-cloud interactions - Part 1: Cloud contamination in satellite products enhances the <span class="hlt">aerosol</span> indirect forcing estimate</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Christensen, Matthew W.; Neubauer, David; Poulsen, Caroline A.; Thomas, Gareth E.; McGarragh, Gregory R.; Povey, Adam C.; Proud, Simon R.; Grainger, Roy G.</p> <p>2017-11-01</p> <p>Increased concentrations of <span class="hlt">aerosol</span> can enhance the albedo of warm low-level cloud. Accurately quantifying this relationship from space is challenging due in part to contamination of <span class="hlt">aerosol</span> statistics near clouds. <span class="hlt">Aerosol</span> retrievals near clouds can be influenced by stray cloud particles in areas assumed to be cloud-free, particle swelling by humidification, shadows and enhanced scattering into the <span class="hlt">aerosol</span> field from (3-D radiative transfer) clouds. To screen for this contamination we have developed a new cloud-<span class="hlt">aerosol</span> pairing algorithm (CAPA) to link cloud observations to the nearest <span class="hlt">aerosol</span> retrieval within the satellite <span class="hlt">image</span>. The distance between each <span class="hlt">aerosol</span> retrieval and nearest cloud is also computed in CAPA. Results from two independent satellite <span class="hlt">imagers</span>, the Advanced Along-Track Scanning Radiometer (AATSR) and Moderate Resolution <span class="hlt">Imaging</span> Spectroradiometer (MODIS), show a marked reduction in the strength of the intrinsic <span class="hlt">aerosol</span> indirect radiative forcing when selecting <span class="hlt">aerosol</span> pairs that are located farther away from the clouds (-0.28±0.26 W m-2) compared to those including pairs that are within 15 km of the nearest cloud (-0.49±0.18 W m-2). The larger <span class="hlt">aerosol</span> optical depths in closer proximity to cloud artificially enhance the relationship between <span class="hlt">aerosol</span>-loading, cloud albedo, and cloud fraction. These results suggest that previous satellite-based radiative forcing estimates represented in key climate reports may be exaggerated due to the inclusion of retrieval artefacts in the <span class="hlt">aerosol</span> located near clouds.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://ntrs.nasa.gov/search.jsp?R=20060038388&hterms=paradise+papers&qs=N%3D0%26Ntk%3DAll%26Ntx%3Dmode%2Bmatchall%26Ntt%3Dparadise%2Bpapers','NASA-TRS'); return false;" href="https://ntrs.nasa.gov/search.jsp?R=20060038388&hterms=paradise+papers&qs=N%3D0%26Ntk%3DAll%26Ntx%3Dmode%2Bmatchall%26Ntt%3Dparadise%2Bpapers"><span>Development of an <span class="hlt">Aerosol</span> Opacity Retrieval Algorithm for Use with Multi-Angle Land Surface <span class="hlt">Images</span></span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Diner, D.; Paradise, S.; Martonchik, J.</p> <p>1994-01-01</p> <p>In 1998, the Multi-angle <span class="hlt">Imaging</span> SpectroRadiometer (MISR) will fly aboard the EOS-AM1 spacecraft. MISR will enable unique methods for retrieving the properties of atmospheric <span class="hlt">aerosols</span>, by providing global imagery of the Earth at nine viewing angles in four visible and near-IR spectral bands. As part of the MISR algorithm development, theoretical methods of analyzing multi-angle, multi-spectral data are being tested using <span class="hlt">images</span> acquired by the airborne Advanced Solid-State Array Spectroradiometer (ASAS). In this paper we derive a method to be used over land surfaces for retrieving the change in opacity between spectral bands, which can then be used in conjunction with an <span class="hlt">aerosol</span> model to derive a bound on absolute opacity.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20140012818','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20140012818"><span>In Situ Trace Element Analysis of an Allende Type B1 <span class="hlt">CAI</span>: EK-459-5-1</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Jeffcoat, C. R.; Kerekgyarto, A.; Lapen, T. J.; Andreasen, R.; Righter, M.; Ross, D. K.</p> <p>2014-01-01</p> <p>Variations in refractory major and trace element composition of calcium, aluminum-rich inclusions (<span class="hlt">CAIs</span>) provide constraints on physical and chemical conditions and processes in the earliest stages of the Solar System. Previous work indicates that <span class="hlt">CAIs</span> have experienced complex histories involving, in many cases, multiple episodes of condensation, evaporation, and partial melting. We have analyzed major and trace element abundances in two core to rim transects of the melilite mantle as well as interior major phases of a Type B1 <span class="hlt">CAI</span> (EK-459-5-1) from Allende by electron probe micro-analyzer (EPMA) and laser ablation inductively coupled plasma mass spectrometry (LA-ICP-MS) to investigate the behavior of key trace elements with a primary focus on the REEs Tm and Yb.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2018JPhCS.983a2100Y','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2018JPhCS.983a2100Y"><span>The enhancement of students’ mathematical representation in junior high school using cognitive apprenticeship instruction (<span class="hlt">CAI</span>)</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Yusepa, B. G. P.; Kusumah, Y. S.; Kartasasmita, B. G.</p> <p>2018-03-01</p> <p>This study aims to get an in-depth understanding of the enhancement of students’ mathematical representation. This study is experimental research with pretest-posttest control group design. The subject of this study is the students’ of the eighth grade from junior high schools in Bandung: high-level and middle-level. In each school, two parallel groups were chosen as a control group and an experimental group. The experimental group was given cognitive apprenticeship instruction (<span class="hlt">CAI</span>) treatment while the control group was given conventional learning. The results show that the enhancement of students’ mathematical representation who obtained <span class="hlt">CAI</span> treatment was better than the conventional one, viewed which can be observed from the overall, mathematical prior knowledge (MPK), and school level. It can be concluded that <span class="hlt">CAI</span> can be used as a good alternative learning model to enhance students’ mathematical representation.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2016cosp...41E.925K','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2016cosp...41E.925K"><span>Evaluation of applicability of high-resolution multiangle <span class="hlt">imaging</span> photo-polarimetric observations for <span class="hlt">aerosol</span> atmospheric correction</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Kalashnikova, Olga; Garay, Michael; Xu, Feng; Diner, David; Seidel, Felix</p> <p>2016-07-01</p> <p>Multiangle spectro-polarimetric measurements have been advocated as an additional tool for better understanding and quantifying the <span class="hlt">aerosol</span> properties needed for atmospheric correction for ocean color retrievals. The central concern of this work is the assessment of the effects of absorbing <span class="hlt">aerosol</span> properties on remote sensing reflectance measurement uncertainty caused by neglecting UV-enhanced absorption of carbonaceous particles and by not accounting for dust nonsphericity. In addition, we evaluate the polarimetric sensitivity of absorbing <span class="hlt">aerosol</span> properties in light of measurement uncertainties achievable for the next generation of multi-angle polarimetric <span class="hlt">imaging</span> instruments, and demonstrate advantages and disadvantages of wavelength selection in the UV/VNIR range. In this work a vector Markov Chain radiative transfer code including bio-optical models was used to quantitatively evaluate in water leaving radiances between atmospheres containing realistic UV-enhanced and non-spherical <span class="hlt">aerosols</span> and the SEADAS carbonaceous and dust-like <span class="hlt">aerosol</span> models. The phase matrices for the spherical smoke particles were calculated using a standard Mie code, while those for non-spherical dust particles were calculated using the numerical approach developed for modeling dust for the AERONET network of ground-based sunphotometers. As a next step, we have developed a retrieval code that employs a coupled Markov Chain (MC) and adding/doubling radiative transfer method for joint retrieval of <span class="hlt">aerosol</span> properties and water leaving radiance from Airborne Multiangle SpectroPolarimetric <span class="hlt">Imager</span>-1 (AirMSPI-1) polarimetric observations. The AirMSPI-1 instrument has been flying aboard the NASA ER-2 high altitude aircraft since October 2010. AirMSPI typically acquires observations of a target area at 9 view angles between ±67° at 10 m resolution. AirMSPI spectral channels are centered at 355, 380, 445, 470, 555, 660, and 865 nm, with 470, 660, and 865 reporting linear polarization. We</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://ntrs.nasa.gov/search.jsp?R=20000094520&hterms=pollution+climate+change&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D30%26Ntt%3Dpollution%2Bclimate%2Bchange','NASA-TRS'); return false;" href="https://ntrs.nasa.gov/search.jsp?R=20000094520&hterms=pollution+climate+change&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D30%26Ntt%3Dpollution%2Bclimate%2Bchange"><span>Remote Sensing of <span class="hlt">Aerosol</span> and <span class="hlt">Aerosol</span> Radiative Forcing of Climate from EOS Terra MODIS Instrument</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Kaufman, Yoram; Tanre, Didier; Remer, Lorraine; Einaudi, Franco (Technical Monitor)</p> <p>2000-01-01</p> <p>The recent launch of EOS-Terra into polar orbit has begun to revolutionize remote sensing of <span class="hlt">aerosol</span> and their effect on climate. Terra has five instruments, two of them,Moderate Resolution <span class="hlt">Imaging</span> Spectroradiometer (MODIS) and Multiangle <span class="hlt">Imaging</span> Spectro-Radiometer (MISR) are designed to monitor global <span class="hlt">aerosol</span> in two different complementary ways. Here we shall discuss the use of the multispectral measurements of MODIS to derive: (1) the global distribution of <span class="hlt">aerosol</span> load (and optical thickness) over ocean and land; (2) to measure the impact of <span class="hlt">aerosol</span> on reflection of sunlight to space; and (3) to measure the ability of <span class="hlt">aerosol</span> to absorb solar radiation. These measurements have direct applications on the understanding of the effect of <span class="hlt">aerosol</span> on climate, the ability to predict climate change, and on the monitoring of dust episodes and man-made pollution. Principles of remote sensing of <span class="hlt">aerosol</span> from MODIS will be discussed and first examples of measurements from MODIS will be provided.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://ntrs.nasa.gov/search.jsp?R=20110007299&hterms=biomass&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D70%26Ntt%3Dbiomass','NASA-TRS'); return false;" href="https://ntrs.nasa.gov/search.jsp?R=20110007299&hterms=biomass&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D70%26Ntt%3Dbiomass"><span>Sensitivity of Multiangle <span class="hlt">Imaging</span> to the Optical and Microphysical Properties of Biomass Burning <span class="hlt">Aerosols</span></span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Chen, Wei-Ting; Kahn, Ralph A.; Nelson, David; Yau, Kevin; Seinfeld, John H.</p> <p>2008-01-01</p> <p>The treatment of biomass burning (BB) carbonaceous particles in the Multiangle <span class="hlt">Imaging</span> SpectroRadiometer (MISR) Standard <span class="hlt">Aerosol</span> Retrieval Algorithm is assessed, and algorithm refinements are suggested, based on a theoretical sensitivity analysis and comparisons with near-coincident AERONET measurements at representative BB sites. Over the natural ranges of BB <span class="hlt">aerosol</span> microphysical and optical properties observed in past field campaigns, patterns of retrieved <span class="hlt">Aerosol</span> Optical Depth (AOD), particle size, and single scattering albedo (SSA) are evaluated. On the basis of the theoretical analysis, assuming total column AOD of 0.2, over a dark, uniform surface, MISR can distinguish two to three groups in each of size and SSA, except when the assumed atmospheric particles are significantly absorbing (mid-visible SSA approx.0.84), or of medium sizes (mean radius approx.0.13 pin); sensitivity to absorbing, medium-large size particles increases considerably when the assumed column AOD is raised to 0.5. MISR Research <span class="hlt">Aerosol</span> Retrievals confirm the theoretical results, based on coincident AERONET inversions under BB-dominated conditions. When BB is externally mixed with dust in the atmosphere, dust optical model and surface reflection uncertainties, along with spatial variability, contribute to differences between the Research Retrievals and AERONET. These results suggest specific refinements to the MISR Standard <span class="hlt">Aerosol</span> Algorithm complement of component particles and mixtures. They also highlight the importance for satellite <span class="hlt">aerosol</span> retrievals of surface reflectance characterization, with accuracies that can be difficult to achieve with coupled surface-<span class="hlt">aerosol</span> algorithms in some higher AOD situations.</p> </li> </ol> <div class="pull-right"> <ul class="pagination"> <li><a href="#" onclick='return showDiv("page_1");'>«</a></li> <li><a href="#" onclick='return showDiv("page_5");'>5</a></li> <li><a href="#" onclick='return showDiv("page_6");'>6</a></li> <li class="active"><span>7</span></li> <li><a href="#" onclick='return showDiv("page_8");'>8</a></li> <li><a href="#" onclick='return showDiv("page_9");'>9</a></li> <li><a href="#" onclick='return showDiv("page_25");'>»</a></li> </ul> </div> </div><!-- col-sm-12 --> </div><!-- row --> </div><!-- page_7 --> <div id="page_8" class="hiddenDiv"> <div class="row"> <div class="col-sm-12"> <div class="pull-right"> <ul class="pagination"> <li><a href="#" onclick='return showDiv("page_1");'>«</a></li> <li><a href="#" onclick='return showDiv("page_6");'>6</a></li> <li><a href="#" onclick='return showDiv("page_7");'>7</a></li> <li class="active"><span>8</span></li> <li><a href="#" onclick='return showDiv("page_9");'>9</a></li> <li><a href="#" onclick='return showDiv("page_10");'>10</a></li> <li><a href="#" onclick='return showDiv("page_25");'>»</a></li> </ul> </div> </div> </div> <div class="row"> <div class="col-sm-12"> <ol class="result-class" start="141"> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2014JARS....8.3612Z','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2014JARS....8.3612Z"><span>High temporal resolution <span class="hlt">aerosol</span> retrieval using Geostationary Ocean Color <span class="hlt">Imager</span>: application and initial validation</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Zhang, Yuhuan; Li, Zhengqiang; Zhang, Ying; Hou, Weizhen; Xu, Hua; Chen, Cheng; Ma, Yan</p> <p>2014-01-01</p> <p>The Geostationary Ocean Color <span class="hlt">Imager</span> (GOCI) provides multispectral imagery of the East Asia region hourly from 9:00 to 16:00 local time (GMT+9) and collects multispectral imagery at eight spectral channels (412, 443, 490, 555, 660, 680, 745, and 865 nm) with a spatial resolution of 500 m. Thus, this technology brings significant advantages to high temporal resolution environmental monitoring. We present the retrieval of <span class="hlt">aerosol</span> optical depth (AOD) in northern China based on GOCI data. Cross-calibration was performed against Moderate Resolution <span class="hlt">Imaging</span> Spectrometer (MODIS) data in order to correct the land calibration bias of the GOCI sensor. AOD retrievals were then accomplished using a look-up table (LUT) strategy with assumptions of a quickly varying <span class="hlt">aerosol</span> and a slowly varying surface with time. The AOD retrieval algorithm calculates AOD by minimizing the surface reflectance variations of a series of observations in a short period of time, such as several days. The monitoring of hourly AOD variations was implemented, and the retrieved AOD agreed well with <span class="hlt">AErosol</span> RObotic NETwork (AERONET) ground-based measurements with a good R2 of approximately 0.74 at validation sites at the cities of Beijing and Xianghe, although intercept bias may be high in specific cases. The comparisons with MODIS products also show a good agreement in AOD spatial distribution. This work suggests that GOCI imagery can provide high temporal resolution monitoring of atmospheric <span class="hlt">aerosols</span> over land, which is of great interest in climate change studies and environmental monitoring.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://ntrs.nasa.gov/search.jsp?R=20100034943&hterms=marine&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D30%26Ntt%3Dmarine','NASA-TRS'); return false;" href="https://ntrs.nasa.gov/search.jsp?R=20100034943&hterms=marine&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D30%26Ntt%3Dmarine"><span>Variability of Marine <span class="hlt">Aerosol</span> Fine-Mode Fraction and Estimates of Anthropogenic <span class="hlt">Aerosol</span> Component Over Cloud-Free Oceans from the Moderate Resolution <span class="hlt">Imaging</span> Spectroradiometer (MODIS)</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Yu, Hongbin; Chin, Mian; Remer, Lorraine A.; Kleidman, Richard G.; Bellouin, Nicolas; Bian, Huisheng; Diehl, Thomas</p> <p>2009-01-01</p> <p>In this study, we examine seasonal and geographical variability of marine <span class="hlt">aerosol</span> fine-mode fraction (f(sub m)) and its impacts on deriving the anthropogenic component of <span class="hlt">aerosol</span> optical depth (tau(sub a)) and direct radiative forcing from multispectral satellite measurements. A proxy of f(sub m), empirically derived from the Moderate Resolution <span class="hlt">Imaging</span> Spectroradiometer (MODIS) Collection 5 data, shows large seasonal and geographical variations that are consistent with the Goddard Chemistry <span class="hlt">Aerosol</span> Radiation Transport (GOCART) and Global Modeling Initiative (GMI) model simulations. The so-derived seasonally and spatially varying f(sub m) is then implemented into a method of estimating tau(sub a) and direct radiative forcing from the MODIS measurements. It is found that the use of a constant value for fm as in previous studies would have overestimated Ta by about 20% over global ocean, with the overestimation up to 45% in some regions and seasons. The 7-year (2001-2007) global ocean average tau(sub a) is 0.035, with yearly average ranging from 0.031 to 0.039. Future improvement in measurements is needed to better separate anthropogenic <span class="hlt">aerosol</span> from natural ones and to narrow down the wide range of <span class="hlt">aerosol</span> direct radiative forcing.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20070023463','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20070023463"><span>3D <span class="hlt">Aerosol</span>-Cloud Radiative Interaction Observed in Collocated MODIS and ASTER <span class="hlt">Images</span> of Cumulus Cloud Fields</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Wen, Guoyong; Marshak, Alexander; Cahalan, Robert F.; Remer, Lorraine A.; Kleidman, Richard G.</p> <p>2007-01-01</p> <p>3D <span class="hlt">aerosol</span>-cloud interaction is examined by analyzing two <span class="hlt">images</span> containing cumulus clouds in biomass burning regions in Brazil. The research consists of two parts. The first part focuses on identifying 3D clo ud impacts on the reflectance of pixel selected for the MODIS <span class="hlt">aerosol</span> retrieval based purely on observations. The second part of the resea rch combines the observations with radiative transfer computations to identify key parameters in 3D <span class="hlt">aerosol</span>-cloud interaction. We found that 3D cloud-induced enhancement depends on optical properties of nearb y clouds as well as wavelength. The enhancement is too large to be ig nored. Associated biased error in 1D <span class="hlt">aerosol</span> optical thickness retrie val ranges from 50% to 140% depending on wavelength and optical prope rties of nearby clouds as well as <span class="hlt">aerosol</span> optical thickness. We caution the community to be prudent when applying 1D approximations in comp uting solar radiation in dear regions adjacent to clouds or when usin g traditional retrieved <span class="hlt">aerosol</span> optical thickness in <span class="hlt">aerosol</span> indirect effect research.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/19890006945','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/19890006945"><span>Extending the granularity of representation and control for the MIL-STD <span class="hlt">CAIS</span> 1.0 node model</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Rogers, Kathy L.</p> <p>1986-01-01</p> <p>The Common APSE (Ada 1 Program Support Environment) Interface Set (<span class="hlt">CAIS</span>) (DoD85) node model provides an excellent baseline for interfaces in a single-host development environment. To encompass the entire spectrum of computing, however, the <span class="hlt">CAIS</span> model should be extended in four areas. It should provide the interface between the engineering workstation and the host system throughout the entire lifecycle of the system. It should provide a basis for communication and integration functions needed by distributed host environments. It should provide common interfaces for communications mechanisms to and among target processors. It should provide facilities for integration, validation, and verification of test beds extending to distributed systems on geographically separate processors with heterogeneous instruction set architectures (ISAS). Additions to the PROCESS NODE model to extend the <span class="hlt">CAIS</span> into these four areas are proposed.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.osti.gov/servlets/purl/1096919','SCIGOV-DOEDE'); return false;" href="https://www.osti.gov/servlets/purl/1096919"><span>Fractal morphology, <span class="hlt">imaging</span> and mass spectrometry of single <span class="hlt">aerosol</span> particles in flight (CXIDB ID 16)</span></a></p> <p><a target="_blank" href="http://www.osti.gov/dataexplorer">DOE Data Explorer</a></p> <p>Loh, N. Duane</p> <p>2012-06-20</p> <p>This deposition includes the <span class="hlt">aerosol</span> diffraction <span class="hlt">images</span> used for phasing, fractal morphology, and time-of-flight mass spectrometry. Files in this deposition are ordered in subdirectories that reflect the specifics.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2018GeCoA.221..275D','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2018GeCoA.221..275D"><span>Titanium isotopes and rare earth patterns in <span class="hlt">CAIs</span>: Evidence for thermal processing and gas-dust decoupling in the protoplanetary disk</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Davis, Andrew M.; Zhang, Junjun; Greber, Nicolas D.; Hu, Jingya; Tissot, François L. H.; Dauphas, Nicolas</p> <p>2018-01-01</p> <p>Titanium isotopic compositions (mass-dependent fractionation and isotopic anomalies) were measured in 46 calcium-, aluminum-rich inclusions (<span class="hlt">CAIs</span>) from the Allende CV chondrite. After internal normalization to 49Ti/47Ti, we found that ε50Ti values are somewhat variable among <span class="hlt">CAIs</span>, and that ε46Ti is highly correlated with ε50Ti, with a best-fit slope of 0.162 ± 0.030 (95% confidence interval). The linear correlation between ε46Ti and ε50Ti extends the same correlation seen among bulk solar objects (slope 0.184 ± 0.007). This observation provides constraints on dynamic mixing of the solar disk and has implications for the nucleosynthetic origin of titanium isotopes, specifically on the possible contributions from various types of supernovae to the solar system. Titanium isotopic mass fractionation, expressed as δ‧49Ti, was measured by both sample-standard bracketing and double-spiking. Most <span class="hlt">CAIs</span> are isotopically unfractionated, within a 95% confidence interval of normal, but a few are significantly fractionated and the range δ‧49Ti is from ∼-4 to ∼+4. Rare earth element patterns were measured in 37 of the <span class="hlt">CAIs</span>. All <span class="hlt">CAIs</span> with significant titanium mass fractionation effects have group II and related REE patterns, implying kinetically controlled volatility fractionation during the formation of these <span class="hlt">CAIs</span>.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2003EAEJA.....9292C','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2003EAEJA.....9292C"><span>B and Mg isotopic variations in Leoville mrs-06 type B1 <span class="hlt">cai</span>:origin of 10Be and 26Al</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Chaussidon, M.; Robert, F.; Russel, S. S.; Gounelle, M.; Ash, R. D.</p> <p>2003-04-01</p> <p>The finding [1-3] in Ca-Al-rich refractory inclusions (<span class="hlt">CAI</span>) of primitive chondrites of traces of the in situ decay of radioactive 10Be (half-life 1.5Myr) indicates that irradiation of the protosolar nebula by the young Sun in its T-Tauri phase has produced significant amounts of the Li-Be-B elements. This irradiation may have produced also some or all of the short-lived 26Al (half-life 0.7Myr) and 41Ca (half-life 0.1Myr) previously detected in <span class="hlt">CAIs</span>. To constrain the origin of 10Be and 10Al it is important to look for coupled variations in the 10Be/9Be and 26Al/27Al ratios in <span class="hlt">CAIs</span> and to understand the processes responsible for these variations (e.g. variations in the fluences of irradiation, secondary perturbations of the <span class="hlt">CAIs</span>, ...) We have thus studied the Li and B isotopic compositions and the Be/Li and Be/B concentration ratios in one <span class="hlt">CAI</span> (MRS-06) from the Leoville CV3 chondrite in which large variations of the Mg isotopic compositions showing both the in situ decay of 26Al and the secondary redistribution of Mg isotopes have been observed [4]. The results show large variations for the Li and B isotopic compositions (^7Li/^6Li ranging from 11.02±0.21 to 11.82±0.07, and 10B/11B ratios ranging from 0.2457±0.0053 to 0.2980±0.0085). The ^7Li/^6Li ratio tend to decrease towards the rim of the inclusion. The 10B/11B ratios are positively correlated with the ^9Be/11B ratios indicating the in situ decay of 10Be. However perturbations of the 10Be/B system are observed. They would correspond to an event which occurred approximately 2Myr after the formation of the <span class="hlt">CAI</span> and the irradiation of the <span class="hlt">CAI</span> precursors which is responsible for the 10Be observed in the core of the <span class="hlt">CAI</span>. These perturbations seem compatible with those observed for the 26Al/Mg system but they might be due to an irradiation of the already-formed, isolated <span class="hlt">CAI</span> which would have resulted in increased 10Be/^9Be ratios and low ^7Li/^6Li ratios in the margin of the <span class="hlt">CAI</span>. [1] McKeegan K. D. et al. (2000</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/1993SPIE.1971..102S','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/1993SPIE.1971..102S"><span><span class="hlt">Aerosol</span> scattering and absorption modulation transfer function</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Sadot, Dan; Kopeika, Norman S.</p> <p>1993-08-01</p> <p>Recent experimental measurements of overall atmospheric modulation transfer function (MTF) indicate significant difference between the turbulence and overall atmospheric MTFs, except often at midday when turbulence is strong. We suggest here a physical explanation for those results which essentially relates to what we call a practical instrumentation-based atmospheric <span class="hlt">aerosol</span> MTF which is a modification of the classical <span class="hlt">aerosol</span> MTF theory. It is shown that system field-of-view and dynamic range affect strongly <span class="hlt">aerosol</span> and overall atmospheric MTFs. It is often necessary to choose between MTF and SNR depending upon dynamic range requirements. Also, a new approach regarding <span class="hlt">aerosol</span> absorption is presented. It is shown that <span class="hlt">aerosol</span>-absorbed irradiance is spatial frequency dependent and enhances the degradation in <span class="hlt">image</span> quality arising from received scattered light. This is most relevant for thermal <span class="hlt">imaging</span>. An analytically corrected model for the <span class="hlt">aerosol</span> MTF is presented which is relevant for <span class="hlt">imaging</span>. An important conclusion is that the <span class="hlt">aerosol</span> MTF is often the dominant part in the actual overall atmospheric MTF all across the optical spectral region.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20140013399','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20140013399"><span><span class="hlt">Aerosol</span> Airmass Type Mapping Over the Urban Mexico City Region From Space-based Multi-angle <span class="hlt">Imaging</span></span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Patadia, F.; Kahn, R. A.; Limbacher, J. A.; Burton, S. P.; Ferrare, R. A.; Hostetler, C. A.; Hair, J. W.</p> <p>2013-01-01</p> <p>Using Multi-angle <span class="hlt">Imaging</span> SpectroRadiometer (MISR) and sub-orbital measurements from the 2006 INTEX-B/MILAGRO field campaign, in this study we explore MISR's ability to map different <span class="hlt">aerosol</span> air mass types over the Mexico City metropolitan area. The <span class="hlt">aerosol</span> air mass distinctions are based on shape, size and single scattering albedo retrievals from the MISR Research <span class="hlt">Aerosol</span> Retrieval algorithm. In this region, the research algorithm identifies dust-dominated <span class="hlt">aerosol</span> mixtures based on non-spherical particle shape, whereas spherical biomass burning and urban pollution particles are distinguished by particle size. Two distinct <span class="hlt">aerosol</span> air mass types based on retrieved particle microphysical properties, and four spatially distributed <span class="hlt">aerosol</span> air masses, are identified in the MISR data on 6 March 2006. The <span class="hlt">aerosol</span> air mass type identification results are supported by coincident, airborne high-spectral-resolution lidar (HSRL) measurements. <span class="hlt">Aerosol</span> optical depth (AOD) gradients are also consistent between the MISR and sub-orbital measurements, but particles having single-scattering albedo of approx. 0.7 at 558 nm must be included in the retrieval algorithm to produce good absolute AOD comparisons over pollution-dominated <span class="hlt">aerosol</span> air masses. The MISR standard V22 AOD product, at 17.6 km resolution, captures the observed AOD gradients qualitatively, but retrievals at this coarse spatial scale and with limited spherical absorbing particle options underestimate AOD and do not retrieve particle properties adequately over this complex urban region. However, we demonstrate how AOD and <span class="hlt">aerosol</span> type mapping can be accomplished with MISR data over complex urban regions, provided the retrieval is performed at sufficiently high spatial resolution, and with a rich enough set of <span class="hlt">aerosol</span> components and mixtures.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.osti.gov/biblio/22486582-su-coded-aperture-gamma-ray-imaging-using-pixelated-semiconductor-detectors','SCIGOV-STC'); return false;" href="https://www.osti.gov/biblio/22486582-su-coded-aperture-gamma-ray-imaging-using-pixelated-semiconductor-detectors"><span>SU-C-201-03: Coded Aperture Gamma-Ray <span class="hlt">Imaging</span> Using Pixelated Semiconductor Detectors</span></a></p> <p><a target="_blank" href="http://www.osti.gov/search">DOE Office of Scientific and Technical Information (OSTI.GOV)</a></p> <p>Joshi, S; Kaye, W; Jaworski, J</p> <p>2015-06-15</p> <p>Purpose: Improved localization of gamma-ray emissions from radiotracers is essential to the progress of nuclear medicine. Polaris is a portable, room-temperature operated gamma-ray <span class="hlt">imaging</span> spectrometer composed of two 3×3 arrays of thick CdZnTe (CZT) detectors, which detect gammas between 30keV and 3MeV with energy resolution of <1% FWHM at 662keV. Compton <span class="hlt">imaging</span> is used to map out source distributions in 4-pi space; however, is only effective above 300keV where Compton scatter is dominant. This work extends <span class="hlt">imaging</span> to photoelectric energies (<300keV) using coded aperture <span class="hlt">imaging</span> (<span class="hlt">CAI</span>), which is essential for localization of Tc-99m (140keV). Methods: <span class="hlt">CAI</span>, similar to the pinholemore » camera, relies on an attenuating mask, with open/closed elements, placed between the source and position-sensitive detectors. Partial attenuation of the source results in a “shadow” or count distribution that closely matches a portion of the mask pattern. Ideally, each source direction corresponds to a unique count distribution. Using backprojection reconstruction, the source direction is determined within the field of view. The knowledge of 3D position of interaction results in improved <span class="hlt">image</span> quality. Results: Using a single array of detectors, a coded aperture mask, and multiple Co-57 (122keV) point sources, <span class="hlt">image</span> reconstruction is performed in real-time, on an event-by-event basis, resulting in <span class="hlt">images</span> with an angular resolution of ∼6 degrees. Although material nonuniformities contribute to <span class="hlt">image</span> degradation, the superposition of <span class="hlt">images</span> from individual detectors results in improved SNR. <span class="hlt">CAI</span> was integrated with Compton <span class="hlt">imaging</span> for a seamless transition between energy regimes. Conclusion: For the first time, <span class="hlt">CAI</span> has been applied to thick, 3D position sensitive CZT detectors. Real-time, combined <span class="hlt">CAI</span> and Compton <span class="hlt">imaging</span> is performed using two 3×3 detector arrays, resulting in a source distribution in space. This system has been commercialized by H3D, Inc. and is being acquired</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20170006939','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20170006939"><span>Oxygen, Magnesium, and Aluminum Isotopes in the Ivuna <span class="hlt">CAI</span>: Re-Examining High-Temperature Fractionations in CI Chondrites</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Frank, D. R.; Huss, G. R.; Nagashima, K.; Zolensky, M. E.; Le, L.</p> <p>2017-01-01</p> <p>CI chondrites are thought to approximate the bulk solar system composition since they closely match the composition of the solar photosphere. Thus, chemical differences between a planetary object and the CI composition are interpreted to result from fractionations of a CI starting composition. This interpretation is often made despite the secondary mineralogy of CI chondrites, which resulted from low-T aqueous alteration on the parent asteroid(s). Prevalent alteration and the relatively large uncertainties in the photospheric abundances (approx. +/-5-10%) permit chemical fractionation of CI chondrites from the bulk solar system, if primary chondrules and/or <span class="hlt">CAIs</span> have been altered beyond recognition. Isolated olivine and pyroxene grains that range from approx. 5 microns to several hundred microns have been reported in CI chondrites, and acid residues of Orgueil were found to contain refractory oxides with oxygen isotopic compositions matching <span class="hlt">CAIs</span>. However, the only <span class="hlt">CAI</span> found to be unambiguously preserved in a CI chondrite was identified in Ivuna. The Ivuna <span class="hlt">CAI</span>'s primary mineralogy, small size (approx.170 microns), and fine-grained igneous texture classify it as a compact type A. Aqueous alteration infiltrated large portions of the <span class="hlt">CAI</span>, but other regions remain pristine. The major primary phases are melilite (Ak 14-36 ), grossmanite (up to 20.8 wt.% TiO 2 ), and spinel. Both melilite and grossmanite have igneous textures and zoning patterns. An accretionary rim consists primarily of olivine (Fa 2-17 ) and low-Ca pyroxene (Fs 2-10 ), which could be either surviving CI2 material or a third lithology.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.pubmedcentral.nih.gov/articlerender.fcgi?tool=pmcentrez&artid=4448264','PMC'); return false;" href="https://www.pubmedcentral.nih.gov/articlerender.fcgi?tool=pmcentrez&artid=4448264"><span>New breast cancer prognostic factors identified by computer-aided <span class="hlt">image</span> analysis of HE stained histopathology <span class="hlt">images</span></span></a></p> <p><a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pmc">PubMed Central</a></p> <p>Chen, Jia-Mei; Qu, Ai-Ping; Wang, Lin-Wei; Yuan, Jing-Ping; Yang, Fang; Xiang, Qing-Ming; Maskey, Ninu; Yang, Gui-Fang; Liu, Juan; Li, Yan</p> <p>2015-01-01</p> <p>Computer-aided <span class="hlt">image</span> analysis (<span class="hlt">CAI</span>) can help objectively quantify morphologic features of hematoxylin-eosin (HE) histopathology <span class="hlt">images</span> and provide potentially useful prognostic information on breast cancer. We performed a <span class="hlt">CAI</span> workflow on 1,150 HE <span class="hlt">images</span> from 230 patients with invasive ductal carcinoma (IDC) of the breast. We used a pixel-wise support vector machine classifier for tumor nests (TNs)-stroma segmentation, and a marker-controlled watershed algorithm for nuclei segmentation. 730 morphologic parameters were extracted after segmentation, and 12 parameters identified by Kaplan-Meier analysis were significantly associated with 8-year disease free survival (P < 0.05 for all). Moreover, four <span class="hlt">image</span> features including TNs feature (HR 1.327, 95%CI [1.001 - 1.759], P = 0.049), TNs cell nuclei feature (HR 0.729, 95%CI [0.537 - 0.989], P = 0.042), TNs cell density (HR 1.625, 95%CI [1.177 - 2.244], P = 0.003), and stromal cell structure feature (HR 1.596, 95%CI [1.142 - 2.229], P = 0.006) were identified by multivariate Cox proportional hazards model to be new independent prognostic factors. The results indicated that <span class="hlt">CAI</span> can assist the pathologist in extracting prognostic information from HE histopathology <span class="hlt">images</span> for IDC. The TNs feature, TNs cell nuclei feature, TNs cell density, and stromal cell structure feature could be new prognostic factors. PMID:26022540</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2004AGUFM.P33A1006Y','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2004AGUFM.P33A1006Y"><span>Unraveling the Environmental Record of the Early Solar System: High Precision Laser Ablation Al-Mg Isotopes of Igneous <span class="hlt">CAIs</span></span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Young, E. D.; Simon, J. I.; Russell, S. S.; Tonui, E.; Krot, A.</p> <p>2004-12-01</p> <p>Variations in intrinsic Mg isotope compositions provide a potentially rich record of the physiochemical evolution of <span class="hlt">CAIs</span>. Moreover, Mg excesses from the short-lived 26Al chronometer can be used to constrain when these processes occurred; e.g., during the nebular phase and/or during the development of planetisimals (< 4 Myr). We obtained in situ UV (213 nm) laser ablation MC-ICPMS measurements of Al and Mg isotope ratios within core-to-rim traverses of igneous <span class="hlt">CAIs</span> to place temporal constraints on when features of <span class="hlt">CAIs</span> formed. Results provide tests of models for the chemical and isotopic evolution of <span class="hlt">CAIs</span> involving volatilization and recondensation of elements in the solar nebula. We studied five CV3 <span class="hlt">CAIs</span>, including Allende 3576-1 "b", Allende M5, Leoville 144A, Leoville MRS3, and Efremovka E44. Our sample-standard comparison approach affords a precision <0.2 \\permil per amu (2s) for intrinsic Mg isotope measurements and <0.3 \\permil (2s) for measured 26Mg excesses. Intra-object variation in \\delta25Mg exists with values ranging from as low as -2 \\permil and as high as +8 \\permil (compared to DSM3). The distinct Mg isotope patterns in the <span class="hlt">CAIs</span> are difficult to explain by a single process or within a single nebular environment and likely require changing conditions or transfer of <span class="hlt">CAIs</span> from one nebular environment to another. The ˜pristine Mg isotope profile of Leoville 144A is compared to results produced by implicit finite difference modeling. Model curves reflect isotopic fractionation at the moving surface of a shrinking molten sphere coupled with diffusion-limited transport within the sphere. We find that using mass-dependant diffusivities increases \\delta25Mg with evaporation, but does not produce the tight curvature in the edgeward increases in \\delta25Mg characteristic of Leoville 144A. Three <span class="hlt">CAIs</span> that exhibit edgeward \\delta25Mg decreases are well described by diffusion in a Mg-rich chondritic environment suggestive of nebular temperatures and</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.ncbi.nlm.nih.gov/pubmed/19603773','PUBMED'); return false;" href="https://www.ncbi.nlm.nih.gov/pubmed/19603773"><span>Attenuated total reflectance FT-IR <span class="hlt">imaging</span> and quantitative energy dispersive-electron probe X-ray microanalysis techniques for single particle analysis of atmospheric <span class="hlt">aerosol</span> particles.</span></a></p> <p><a target="_blank" href="https://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pubmed">PubMed</a></p> <p>Ryu, JiYeon; Ro, Chul-Un</p> <p>2009-08-15</p> <p>This work demonstrates the practical applicability of the combined use of attenuated total reflectance (ATR) FT-IR <span class="hlt">imaging</span> and low-Z particle electron probe X-ray microanalysis (EPMA) techniques for the characterization of individual <span class="hlt">aerosol</span> particles. These two single particle analytical techniques provide complementary information on the physicochemical characteristics of the same individual particles, that is, the low-Z particle EPMA for the information on the morphology and elemental concentration and the ATR-FT-IR <span class="hlt">imaging</span> on the functional group, molecular species, and crystal structure. It was confirmed that the ATR-FT-IR <span class="hlt">imaging</span> technique can provide sufficient FT-IR absorption signals to perform molecular speciation of individual particles of micrometer size when applied to artificially generated <span class="hlt">aerosol</span> particles such as ascorbic acid and NaNO(3) <span class="hlt">aerosols</span>. An exemplar indoor atmospheric <span class="hlt">aerosol</span> sample was investigated to demonstrate the practical feasibility of the combined application of ATR-FT-IR <span class="hlt">imaging</span> and low-Z particle EPMA techniques for the characterization of individual airborne particles.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.osti.gov/biblio/1182909-liquid-liquid-phase-separation-aerosol-particles-imaging-nanometer-scale','SCIGOV-STC'); return false;" href="https://www.osti.gov/biblio/1182909-liquid-liquid-phase-separation-aerosol-particles-imaging-nanometer-scale"><span>Liquid-liquid phase separation in <span class="hlt">aerosol</span> particles: <span class="hlt">Imaging</span> at the Nanometer Scale</span></a></p> <p><a target="_blank" href="http://www.osti.gov/search">DOE Office of Scientific and Technical Information (OSTI.GOV)</a></p> <p>O'Brien, Rachel; Wang, Bingbing; Kelly, Stephen T.</p> <p>2015-04-21</p> <p>Atmospheric <span class="hlt">aerosols</span> can undergo phase transitions including liquid-liquid phase separation (LLPS) while responding to changes in the ambient relative humidity (RH). Here, we report results of chemical <span class="hlt">imaging</span> experiments using environmental scanning electron microscopy (ESEM) and scanning transmission x-ray microscopy (STXM) to investigate the LLPS of micron sized particles undergoing a full hydration-dehydration cycle. Internally mixed particles composed of ammonium sulfate (AS) and either: limonene secondary organic carbon (LSOC), a, 4-dihydroxy-3-methoxybenzeneaceticacid (HMMA), or polyethylene glycol (PEG-400) were studied. Events of LLPS with apparent core-shell particle morphology were observed for all samples with both techniques. Chemical <span class="hlt">imaging</span> with STXM showed thatmore » both LSOC/AS and HMMA/AS particles were never homogeneously mixed for all measured RH’s above the deliquescence point and that the majority of the organic component was located in the shell. The shell composition was estimated as 65:35 organic: inorganic in LSOC/AS and as 50:50 organic: inorganic for HMMA/AS. PEG-400/AS particles showed fully homogeneous mixtures at high RH and phase separated below 89-92% RH with an estimated 50:50% organic to inorganic mix in the shell. These two chemical <span class="hlt">imaging</span> techniques are well suited for in-situ analysis of the hygroscopic behavior, phase separation, and surface composition of collected ambient <span class="hlt">aerosol</span> particles.« less</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.ncbi.nlm.nih.gov/pubmed/19929731','PUBMED'); return false;" href="https://www.ncbi.nlm.nih.gov/pubmed/19929731"><span>Consumption of fa <span class="hlt">cai</span> Nostoc soup: a potential for BMAA exposure from Nostoc cyanobacteria in China?</span></a></p> <p><a target="_blank" href="https://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pubmed">PubMed</a></p> <p>Roney, Britton R; Renhui, Li; Banack, Sandra Anne; Murch, Susan; Honegger, Rosmarie; Cox, Paul Alan</p> <p>2009-01-01</p> <p>Grown in arid regions of western China the cyanobacterium Nostoc flagelliforme--called fa <span class="hlt">cai</span> in Mandarin and fat choy in Cantonese--is wild-harvested and used to make soup consumed during New Year's celebrations. High prices, up to $125 USD/kg, led to overharvesting in Inner Mongolia, Ningxia, Gansu, Qinghai, and Xinjiang. Degradation of arid ecosystems, desertification, and conflicts between Nostoc harvesters and Mongol herdsmen concerned the Chinese environmental authorities, leading to a government ban of Nostoc commerce. This ban stimulated increased marketing of a substitute made from starch. We analysed samples purchased throughout China as well as in Chinese markets in the United States and the United Kingdom. Some were counterfeits consisting of dyed starch noodles. A few samples from California contained Nostoc flagelliforme but were adulterated with starch noodles. Other samples, including those from the United Kingdom, consisted of pure Nostoc flagelliforme. A recent survey of markets in Cheng Du showed no real Nostoc flagelliforme to be marketed. Real and artificial fa <span class="hlt">cai</span> differ in the presence of beta-N-methylamino-L-alanine (BMAA). Given its status as a high-priced luxury food, the government ban on collection and marketing, and the replacement of real fa <span class="hlt">cai</span> with starch substitutes consumed only on special occasions, it is anticipated that dietary exposure to BMAA from fa <span class="hlt">cai</span> will be reduced in the future in China.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.osti.gov/pages/biblio/1247117-aerosol-plume-detection-algorithm-based-image-segmentation-scanning-atmospheric-lidar-data','SCIGOV-DOEP'); return false;" href="https://www.osti.gov/pages/biblio/1247117-aerosol-plume-detection-algorithm-based-image-segmentation-scanning-atmospheric-lidar-data"><span><span class="hlt">Aerosol</span> Plume Detection Algorithm Based on <span class="hlt">Image</span> Segmentation of Scanning Atmospheric Lidar Data</span></a></p> <p><a target="_blank" href="http://www.osti.gov/pages">DOE PAGES</a></p> <p>Weekley, R. Andrew; Goodrich, R. Kent; Cornman, Larry B.</p> <p>2016-04-06</p> <p>An <span class="hlt">image</span>-processing algorithm has been developed to identify <span class="hlt">aerosol</span> plumes in scanning lidar backscatter data. The <span class="hlt">images</span> in this case consist of lidar data in a polar coordinate system. Each full lidar scan is taken as a fixed <span class="hlt">image</span> in time, and sequences of such scans are considered functions of time. The data are analyzed in both the original backscatter polar coordinate system and a lagged coordinate system. The lagged coordinate system is a scatterplot of two datasets, such as subregions taken from the same lidar scan (spatial delay), or two sequential scans in time (time delay). The lagged coordinatemore » system processing allows for finding and classifying clusters of data. The classification step is important in determining which clusters are valid <span class="hlt">aerosol</span> plumes and which are from artifacts such as noise, hard targets, or background fields. These cluster classification techniques have skill since both local and global properties are used. Furthermore, more information is available since both the original data and the lag data are used. Performance statistics are presented for a limited set of data processed by the algorithm, where results from the algorithm were compared to subjective truth data identified by a human.« less</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.ncbi.nlm.nih.gov/pubmed/29140683','PUBMED'); return false;" href="https://www.ncbi.nlm.nih.gov/pubmed/29140683"><span>Nanocomposite Phosphor Consisting of <span class="hlt">CaI</span>2:Eu2+ Single Nanocrystals Embedded in Crystalline SiO2.</span></a></p> <p><a target="_blank" href="https://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pubmed">PubMed</a></p> <p>Daicho, Hisayoshi; Iwasaki, Takeshi; Shinomiya, Yu; Nakano, Akitoshi; Sawa, Hiroshi; Yamada, Wataru; Matsuishi, Satoru; Hosono, Hideo</p> <p>2017-11-29</p> <p>High luminescence efficiency is obtained in halide- and chalcogenide-based phosphors, but they are impractical because of their poor chemical durability. Here we report a halide-based nanocomposite phosphor with excellent luminescence efficiency and sufficient durability for practical use. Our approach was to disperse luminescent single nanocrystals of <span class="hlt">CaI</span> 2 :Eu 2+ in a chemically stable, translucent crystalline SiO 2 matrix. Using this approach, we successfully prepared a nanocomposite phosphor by means of self-organization through a simple solid-state reaction. Single nanocrystals of 6H polytype (thr notation) <span class="hlt">CaI</span> 2 :Eu 2+ with diameters of about 50 nm could be generated not only in a SiO 2 amorphous powder but also in a SiO 2 glass plate. The nanocomposite phosphor formed upon solidification of molten <span class="hlt">CaI</span> 2 left behind in the crystalline SiO 2 that formed from the amorphous SiO 2 under the influence of a <span class="hlt">CaI</span> 2 flux effect. The resulting nanocomposite phosphor emitted brilliant blue luminescence with an internal quantum efficiency up to 98% upon 407 nm violet excitation. We used cathodoluminescence microscopy, scanning transmission electron microscopy, and Rietveld refinement of the X-ray diffraction patterns to confirm that the blue luminescence was generated only by the <span class="hlt">CaI</span> 2 :Eu 2+ single nanocrystals. The phosphor was chemically durable because the luminescence sites were embedded in the crystalline SiO 2 matrix. The phosphor is suitable for use in near-ultraviolet light-emitting diodes. The concept for this nanocomposite phosphor can be expected to be effective for improvements in the practicality of poorly durable materials such as halides and chalcogenides.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.pubmedcentral.nih.gov/articlerender.fcgi?tool=pmcentrez&artid=2784433','PMC'); return false;" href="https://www.pubmedcentral.nih.gov/articlerender.fcgi?tool=pmcentrez&artid=2784433"><span>Hunting and use of terrestrial fauna used by <span class="hlt">Cai</span>çaras from the Atlantic Forest coast (Brazil)</span></a></p> <p><a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pmc">PubMed Central</a></p> <p></p> <p>2009-01-01</p> <p>Background The Brazilian Atlantic Forest is considered one of the hotspots for conservation, comprising remnants of rain forest along the eastern Brazilian coast. Its native inhabitants in the Southeastern coast include the <span class="hlt">Cai</span>çaras (descendants from Amerindians and European colonizers), with a deep knowledge on the natural resources used for their livelihood. Methods We studied the use of the terrestrial fauna in three <span class="hlt">Cai</span>çara communities, through open-ended interviews with 116 native residents. Data were checked through systematic observations and collection of zoological material. Results The dependence on the terrestrial fauna by <span class="hlt">Cai</span>çaras is especially for food and medicine. The main species used are Didelphis spp., Dasyprocta azarae, Dasypus novemcinctus, and small birds (several species of Turdidae). Contrasting with a high dependency on terrestrial fauna resources by native Amazonians, the <span class="hlt">Cai</span>çaras do not show a constant dependency on these resources. Nevertheless, the occasional hunting of native animals represents a complimentary source of animal protein. Conclusion Indigenous or local knowledge on native resources is important in order to promote local development in a sustainable way, and can help to conserve biodiversity, particularly if the resource is sporadically used and not commercially exploited. PMID:19930595</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2013AGUFM.A43D0290H','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2013AGUFM.A43D0290H"><span>Development of a generalized multi-pixel and multi-parameter satellite remote sensing algorithm for <span class="hlt">aerosol</span> properties</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Hashimoto, M.; Nakajima, T.; Takenaka, H.; Higurashi, A.</p> <p>2013-12-01</p> <p>We develop a new satellite remote sensing algorithm to retrieve the properties of <span class="hlt">aerosol</span> particles in the atmosphere. In late years, high resolution and multi-wavelength, and multiple-angle observation data have been obtained by grand-based spectral radiometers and <span class="hlt">imaging</span> sensors on board the satellite. With this development, optimized multi-parameter remote sensing methods based on the Bayesian theory have become popularly used (Turchin and Nozik, 1969; Rodgers, 2000; Dubovik et al., 2000). Additionally, a direct use of radiation transfer calculation has been employed for non-linear remote sensing problems taking place of look up table methods supported by the progress of computing technology (Dubovik et al., 2011; Yoshida et al., 2011). We are developing a flexible multi-pixel and multi-parameter remote sensing algorithm for <span class="hlt">aerosol</span> optical properties. In this algorithm, the inversion method is a combination of the MAP method (Maximum a posteriori method, Rodgers, 2000) and the Phillips-Twomey method (Phillips, 1962; Twomey, 1963) as a smoothing constraint for the state vector. Furthermore, we include a radiation transfer calculation code, Rstar (Nakajima and Tanaka, 1986, 1988), numerically solved each time in iteration for solution search. The Rstar-code has been directly used in the AERONET operational processing system (Dubovik and King, 2000). Retrieved parameters in our algorithm are <span class="hlt">aerosol</span> optical properties, such as <span class="hlt">aerosol</span> optical thickness (AOT) of fine mode, sea salt, and dust particles, a volume soot fraction in fine mode particles, and ground surface albedo of each observed wavelength. We simultaneously retrieve all the parameters that characterize pixels in each of horizontal sub-domains consisting the target area. Then we successively apply the retrieval method to all the sub-domains in the target area. We conducted numerical tests for the retrieval of <span class="hlt">aerosol</span> properties and ground surface albedo for GOSAT/<span class="hlt">CAI</span> <span class="hlt">imager</span> data to test the algorithm</p> </li> </ol> <div class="pull-right"> <ul class="pagination"> <li><a href="#" onclick='return showDiv("page_1");'>«</a></li> <li><a href="#" onclick='return showDiv("page_6");'>6</a></li> <li><a href="#" onclick='return showDiv("page_7");'>7</a></li> <li class="active"><span>8</span></li> <li><a href="#" onclick='return showDiv("page_9");'>9</a></li> <li><a href="#" onclick='return showDiv("page_10");'>10</a></li> <li><a href="#" onclick='return showDiv("page_25");'>»</a></li> </ul> </div> </div><!-- col-sm-12 --> </div><!-- row --> </div><!-- page_8 --> <div id="page_9" class="hiddenDiv"> <div class="row"> <div class="col-sm-12"> <div class="pull-right"> <ul class="pagination"> <li><a href="#" onclick='return showDiv("page_1");'>«</a></li> <li><a href="#" onclick='return showDiv("page_7");'>7</a></li> <li><a href="#" onclick='return showDiv("page_8");'>8</a></li> <li class="active"><span>9</span></li> <li><a href="#" onclick='return showDiv("page_10");'>10</a></li> <li><a href="#" onclick='return showDiv("page_11");'>11</a></li> <li><a href="#" onclick='return showDiv("page_25");'>»</a></li> </ul> </div> </div> </div> <div class="row"> <div class="col-sm-12"> <ol class="result-class" start="161"> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017AGUFM.A21G2235N','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017AGUFM.A21G2235N"><span>New 4.4 km-resolution <span class="hlt">aerosol</span> product from NASA's Multi-angle <span class="hlt">Imaging</span> SpectroRadiometer: A user's guide</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Nastan, A.; Garay, M. J.; Witek, M. L.; Seidel, F.; Bull, M. A.; Kahn, R. A.; Diner, D. J.</p> <p>2017-12-01</p> <p>The NASA Multi-angle <span class="hlt">Imaging</span> SpectroRadiometer (MISR) instrument on NASA's Terra satellite has provided an 18-year-and-growing <span class="hlt">aerosol</span> data record. MISR's V22 <span class="hlt">aerosol</span> product has been used extensively in studies of regional and global climate and the health effects of particulate air pollution. The MISR team recently released a new version of this product (V23), which increases the spatial resolution from 17.6 km to 4.4 km, improves performance versus AERONET, and provides better spatial coverage, more accurate cloud screening, and improved radiometric conditioning relative to V22. The product formatting was also completely revamped to improve clarity and usability. Established and prospective users of the MISR <span class="hlt">aerosol</span> product are invited to learn about the features and performance of the new product and to participate in one-on-one demonstrations of how to obtain, visualize, and analyze the new product. Because the <span class="hlt">aerosol</span> product is used in generating atmospherically-corrected surface bidirectional reflectance factors, improvements in MISR's 1.1 km resolution land surface product are a by-product of the updated <span class="hlt">aerosol</span> retrievals. Illustrative comparisons of the V22 and V23 <span class="hlt">aerosol</span> and surface products will be shown.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.ncbi.nlm.nih.gov/pubmed/23809050','PUBMED'); return false;" href="https://www.ncbi.nlm.nih.gov/pubmed/23809050"><span><span class="hlt">Aerosolized</span> intranasal midazolam for safe and effective sedation for quality computed tomography <span class="hlt">imaging</span> in infants and children.</span></a></p> <p><a target="_blank" href="https://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pubmed">PubMed</a></p> <p>Mekitarian Filho, Eduardo; de Carvalho, Werther Brunow; Gilio, Alfredo Elias; Robinson, Fay; Mason, Keira P</p> <p>2013-10-01</p> <p>This pilot study introduces the <span class="hlt">aerosolized</span> route for midazolam as an option for infant and pediatric sedation for computed tomography <span class="hlt">imaging</span>. This technique produced predictable and effective sedation for quality computed tomography <span class="hlt">imaging</span> studies with minimal artifact and no significant adverse events. Copyright © 2013 Mosby, Inc. All rights reserved.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2004SPIE.5416..233H','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2004SPIE.5416..233H"><span>Handheld hyperspectral <span class="hlt">imager</span> for standoff detection of chemical and biological <span class="hlt">aerosols</span></span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Hinnrichs, Michele; Jensen, James O.; McAnally, Gerard</p> <p>2004-08-01</p> <p>Pacific Advanced Technology has developed a small hand held <span class="hlt">imaging</span> spectrometer, Sherlock, for gas leak and <span class="hlt">aerosol</span> detection and <span class="hlt">imaging</span>. The system is based on a patented technique, (IMSS <span class="hlt">Image</span> Multi-spectral Sensing), that uses diffractive optics and <span class="hlt">image</span> processing algorithms to detect spectral information about objects in the scene of the camera. This cameras technology has been tested at Dugway Proving Ground and Dstl Porton Down facilities looking at Chemical and Biological agent simulants. In addition to Chemical and Biological detection, the camera has been used for environmental monitoring of green house gases and is currently undergoing extensive laboratory and field testing by the Gas Technology Institute, British Petroleum and Shell Oil for applications for gas leak detection and repair. In this paper we will present some of the results from the data collection at the TRE test at Dugway Proving Ground during the summer of 2002 and laboratory testing at the Dstl facility at Porton Down in the UK in the fall of 2002.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.ncbi.nlm.nih.gov/pubmed/26829187','PUBMED'); return false;" href="https://www.ncbi.nlm.nih.gov/pubmed/26829187"><span>Bridging the Gap Between Science and Clinical Efficacy: Physiology, <span class="hlt">Imaging</span>, and Modeling of <span class="hlt">Aerosols</span> in the Lung.</span></a></p> <p><a target="_blank" href="https://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pubmed">PubMed</a></p> <p>Darquenne, Chantal; Fleming, John S; Katz, Ira; Martin, Andrew R; Schroeter, Jeffry; Usmani, Omar S; Venegas, Jose; Schmid, Otmar</p> <p>2016-04-01</p> <p>Development of a new drug for the treatment of lung disease is a complex and time consuming process involving numerous disciplines of basic and applied sciences. During the 2015 Congress of the International Society for <span class="hlt">Aerosols</span> in Medicine, a group of experts including <span class="hlt">aerosol</span> scientists, physiologists, modelers, <span class="hlt">imagers</span>, and clinicians participated in a workshop aiming at bridging the gap between basic research and clinical efficacy of inhaled drugs. This publication summarizes the current consensus on the topic. It begins with a short description of basic concepts of <span class="hlt">aerosol</span> transport and a discussion on targeting strategies of inhaled <span class="hlt">aerosols</span> to the lungs. It is followed by a description of both computational and biological lung models, and the use of <span class="hlt">imaging</span> techniques to determine <span class="hlt">aerosol</span> deposition distribution (ADD) in the lung. Finally, the importance of ADD to clinical efficacy is discussed. Several gaps were identified between basic science and clinical efficacy. One gap between scientific research aimed at predicting, controlling, and measuring ADD and the clinical use of inhaled <span class="hlt">aerosols</span> is the considerable challenge of obtaining, in a single study, accurate information describing the optimal lung regions to be targeted, the effectiveness of targeting determined from ADD, and some measure of the drug's effectiveness. Other identified gaps were the language and methodology barriers that exist among disciplines, along with the significant regulatory hurdles that need to be overcome for novel drugs and/or therapies to reach the marketplace and benefit the patient. Despite these gaps, much progress has been made in recent years to improve clinical efficacy of inhaled drugs. Also, the recent efforts by many funding agencies and industry to support multidisciplinary networks including basic science researchers, R&D scientists, and clinicians will go a long way to further reduce the gap between science and clinical efficacy.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.pubmedcentral.nih.gov/articlerender.fcgi?tool=pmcentrez&artid=4841911','PMC'); return false;" href="https://www.pubmedcentral.nih.gov/articlerender.fcgi?tool=pmcentrez&artid=4841911"><span>Bridging the Gap Between Science and Clinical Efficacy: Physiology, <span class="hlt">Imaging</span>, and Modeling of <span class="hlt">Aerosols</span> in the Lung</span></a></p> <p><a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pmc">PubMed Central</a></p> <p>Fleming, John S.; Katz, Ira; Martin, Andrew R.; Schroeter, Jeffry; Usmani, Omar S.; Venegas, Jose</p> <p>2016-01-01</p> <p>Abstract Development of a new drug for the treatment of lung disease is a complex and time consuming process involving numerous disciplines of basic and applied sciences. During the 2015 Congress of the International Society for <span class="hlt">Aerosols</span> in Medicine, a group of experts including <span class="hlt">aerosol</span> scientists, physiologists, modelers, <span class="hlt">imagers</span>, and clinicians participated in a workshop aiming at bridging the gap between basic research and clinical efficacy of inhaled drugs. This publication summarizes the current consensus on the topic. It begins with a short description of basic concepts of <span class="hlt">aerosol</span> transport and a discussion on targeting strategies of inhaled <span class="hlt">aerosols</span> to the lungs. It is followed by a description of both computational and biological lung models, and the use of <span class="hlt">imaging</span> techniques to determine <span class="hlt">aerosol</span> deposition distribution (ADD) in the lung. Finally, the importance of ADD to clinical efficacy is discussed. Several gaps were identified between basic science and clinical efficacy. One gap between scientific research aimed at predicting, controlling, and measuring ADD and the clinical use of inhaled <span class="hlt">aerosols</span> is the considerable challenge of obtaining, in a single study, accurate information describing the optimal lung regions to be targeted, the effectiveness of targeting determined from ADD, and some measure of the drug's effectiveness. Other identified gaps were the language and methodology barriers that exist among disciplines, along with the significant regulatory hurdles that need to be overcome for novel drugs and/or therapies to reach the marketplace and benefit the patient. Despite these gaps, much progress has been made in recent years to improve clinical efficacy of inhaled drugs. Also, the recent efforts by many funding agencies and industry to support multidisciplinary networks including basic science researchers, R&D scientists, and clinicians will go a long way to further reduce the gap between science and clinical efficacy. PMID:26829187</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2016AGUFM.A51B0020X','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2016AGUFM.A51B0020X"><span>Coupled Retrieval of <span class="hlt">Aerosol</span> Properties and Surface Reflection Using the Airborne Multi-angle SpectroPolarimetric <span class="hlt">Imager</span> (AirMSPI)</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Xu, F.; van Harten, G.; Kalashnikova, O. V.; Diner, D. J.; Seidel, F. C.; Garay, M. J.; Dubovik, O.</p> <p>2016-12-01</p> <p>The Airborne Multi-angle SpectroPolarimetric <span class="hlt">Imager</span> (AirMSPI) [1] has been flying aboard the NASA ER-2 high altitude aircraft since October 2010. In step-and-stare operation mode, AirMSPI acquires radiance and polarization data at 355, 380, 445, 470*, 555, 660*, 865*, and 935 nm (* denotes polarimetric bands). The <span class="hlt">imaged</span> area covers about 10 km by 10 km and is observed from 9 view angles between ±67° off of nadir. We have developed an efficient and flexible code that uses the information content of AirMSPI data for a coupled retrieval of <span class="hlt">aerosol</span> properties and surface reflection. The retrieval was built based on the multi-pixel optimization concept [2], with the use of a hybrid radiative transfer model [3] that combines the Markov Chain [4] and adding/doubling methods [5]. The convergence and robustness of our algorithm is ensured by applying constraints on (a) the spectral variation of the Bidirectional Polarization Distribution Function (BPDF) and angular shape of the Bidirectional Reflectance Distribution Function (BRDF); (b) the spectral variation of <span class="hlt">aerosol</span> optical properties; and (c) the spatial variation of <span class="hlt">aerosol</span> parameters across neighboring <span class="hlt">image</span> pixels. Our retrieval approach has been tested using over 20 AirMSPI datasets having low to moderately high <span class="hlt">aerosol</span> loadings ( 0.02550-nm< 0.45) and acquired during several field campaigns. Results are compared with AERONET <span class="hlt">aerosol</span> reference data. We also explore the benefits of AirMSPI's ultraviolet and polarimetric bands as well as the use of multiple view angles. References[1]. D. J. Diner, et al. Atmos. Meas. Tech. 6, 1717 (2013). [2]. O. Dubovik et al. Atmos. Meas. Tech. 4, 975 (2011). [3]. F. Xu et al. Atmos. Meas. Tech. 9, 2877 (2016). [4]. F. Xu et al. Opt. Lett. 36, 2083 (2011). [5]. J. E. Hansen and L.D. Travis. Space Sci. Rev. 16, 527 (1974).</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2016AGUFM.A53D0331B','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2016AGUFM.A53D0331B"><span>SEM <span class="hlt">Imaging</span> and Chemical Analysis of <span class="hlt">Aerosol</span> Particles from Surface and Hi-altitudes in New Jersey.</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Bandamede, M.; Boaggio, K.; Bancroft, L.; Hurler, K.; Magee, N. B.</p> <p>2016-12-01</p> <p>We report on Scanning Electron Microscopy analysis of <span class="hlt">aerosol</span> particle morphology and chemistry. The work includes the first comparative SEM analysis of <span class="hlt">aerosol</span> particles captured by balloon at high altitude. The particles were acquired in an urban/suburban environment in central New-Jersey. Particles were sampled from near the surface using ambient air filtration and at high-altitudes using a novel balloon-borne instrument (ICE-Ball, see abstract by K. Boaggio). Particle <span class="hlt">images</span> and 3D geometry are acquired by a Hitachi SU-5000 SEM, with resolution to approximately 3 nm. Elemental analysis on particles is provided by Energy Dispersive X-Ray Spectroscopy (EDS, EDAX, Inc.). Uncoated <span class="hlt">imaging</span> is conducted in low vacuum within the variable-pressure SEM, which provides improved detection and analysis of light-element compositions including Carbon. Preliminary results suggest that some similar particle types and chemical species are sampled at both surface and high-altitude. However, as expected, particle morphologies, concentrations, chemistry, and apparent origin vary significantly at different altitudes and under different atmospheric flow regimes. Improved characterization of high-altitude <span class="hlt">aerosol</span> particles, and differences from surface particulate composition, may advance inputs for atmospheric cloud and radiation models.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2015GeCoA.153..183F','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2015GeCoA.153..183F"><span>Evidence for an early nitrogen isotopic evolution in the solar nebula from volatile analyses of a <span class="hlt">CAI</span> from the CV3 chondrite NWA 8616</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Füri, Evelyn; Chaussidon, Marc; Marty, Bernard</p> <p>2015-03-01</p> <p>Nitrogen and noble gas (Ne-Ar) abundances and isotope ratios, determined by CO2 laser extraction static mass spectrometry analysis, as well as Al-Mg and O isotope data from secondary ion mass spectrometry (SIMS) analyses, are reported for a type B calcium-aluminum-rich inclusion (<span class="hlt">CAI</span>) from the CV3 chondrite NWA 8616. The high (26Al/27Al)i ratio of (5.06 ± 0.50) × 10-5 dates the last melting event of the <span class="hlt">CAI</span> at 39-99+109ka after "time zero", limiting the period during which high-temperature exchanges between the <span class="hlt">CAI</span> and the nebular gas could have occurred to a very short time interval. Partial isotopic exchange with a 16O-poor reservoir resulted in Δ17O > -5‰ for melilite and anorthite, whereas spinel and Al-Ti-pyroxene retain the inferred original 16O-rich signature of the solar nebula (Δ17O ⩽ -20‰). The low 20Ne/22Ne (⩽0.83) and 36Ar/38Ar (⩽0.75) ratios of the <span class="hlt">CAI</span> rule out the presence of any trapped planetary or solar noble gases. Cosmogenic 21Ne and 38Ar abundances are consistent with a cosmic ray exposure (CRE) age of ∼14 to 20 Ma, assuming CR fluxes similar to modern ones, without any evidence for pre-irradiation of the <span class="hlt">CAI</span> before incorporation into the meteorite parent body. Strikingly, the <span class="hlt">CAI</span> contains 1.4-3.4 ppm N with a δ15N value of +8‰ to +30‰. Even after correcting the measured δ15N values for cosmogenic 15N produced in situ, the <span class="hlt">CAI</span> is highly enriched in 15N compared to the protosolar nebula (δ15NPSN = -383 ± 8‰; Marty et al., 2011), implying that the <span class="hlt">CAI</span>-forming region was contaminated by 15N-rich material within the first 0.15 Ma of Solar System history, or, alternatively, that the <span class="hlt">CAI</span> was ejected into the outer Solar System where it interacted with a 15N-rich reservoir.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://ntrs.nasa.gov/search.jsp?R=20030110823&hterms=diversity&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D60%26Ntt%3Ddiversity','NASA-TRS'); return false;" href="https://ntrs.nasa.gov/search.jsp?R=20030110823&hterms=diversity&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D60%26Ntt%3Ddiversity"><span>Al-rich Chondrules: Petrologic Basis for Their Diversity, and Relation to Type C <span class="hlt">CAIs</span></span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>MacPherson, G. J.; Huss, G. R.</p> <p>2003-01-01</p> <p>Al-rich chondrules share mineralogical and chemical properties with, and are intermediate in a volatility sense between, <span class="hlt">CAIs</span> and ferromagnesian chondrules. In some way they must be petrogenetic links between the two. A recent upsurge of interest in Al-rich chondrules is due to their constituent plagioclase feldspar and Al-rich glass being amenable to successful ion microprobe searches for radiogenic Mg-26, the decay product of Al-26 (t(sub 1/2) = 720,000 y). This has allowed estimates to be made of the time duration between <span class="hlt">CAI</span> formation and the onset of Al-rich (and possibly, by extension, ferromagnesian) chondrule formation, on the order of 1.5-2.5 million years.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2018JGRD..123.3175X','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2018JGRD..123.3175X"><span>Coupled Retrieval of Liquid Water Cloud and Above-Cloud <span class="hlt">Aerosol</span> Properties Using the Airborne Multiangle SpectroPolarimetric <span class="hlt">Imager</span> (AirMSPI)</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Xu, Feng; van Harten, Gerard; Diner, David J.; Davis, Anthony B.; Seidel, Felix C.; Rheingans, Brian; Tosca, Mika; Alexandrov, Mikhail D.; Cairns, Brian; Ferrare, Richard A.; Burton, Sharon P.; Fenn, Marta A.; Hostetler, Chris A.; Wood, Robert; Redemann, Jens</p> <p>2018-03-01</p> <p>An optimization algorithm is developed to retrieve liquid water cloud properties including cloud optical depth (COD), droplet size distribution and cloud top height (CTH), and above-cloud <span class="hlt">aerosol</span> properties including <span class="hlt">aerosol</span> optical depth (AOD), single-scattering albedo, and microphysical properties from sweep-mode observations by Jet Propulsion Laboratory's Airborne Multiangle SpectroPolarimetric <span class="hlt">Imager</span> (AirMSPI) instrument. The retrieval is composed of three major steps: (1) initial estimate of the mean droplet size distribution across the entire <span class="hlt">image</span> of 80-100 km along track by 10-25 km across track from polarimetric cloudbow observations, (2) coupled retrieval of <span class="hlt">image</span>-scale cloud and above-cloud <span class="hlt">aerosol</span> properties by fitting the polarimetric data at all observation angles, and (3) iterative retrieval of 1-D radiative transfer-based COD and droplet size distribution at pixel scale (25 m) by establishing relationships between COD and droplet size and fitting the total radiance measurements. Our retrieval is tested using 134 AirMSPI data sets acquired during the National Aeronautics and Space Administration (NASA) field campaign ObseRvations of <span class="hlt">Aerosols</span> above CLouds and their intEractionS. The retrieved above-cloud AOD and CTH are compared to coincident HSRL-2 (HSRL-2, NASA Langley Research Center) data, and COD and droplet size distribution parameters (effective radius reff and effective variance veff) are compared to coincident Research Scanning Polarimeter (RSP) (NASA Goddard Institute for Space Studies) data. Mean absolute differences between AirMSPI and HSRL-2 retrievals of above-cloud AOD at 532 nm and CTH are 0.03 and <0.5 km, respectively. At RSP's footprint scale ( 323 m), mean absolute differences between RSP and AirMSPI retrievals of COD, reff, and veff in the cloudbow area are 2.33, 0.69 μm, and 0.020, respectively. Neglect of smoke <span class="hlt">aerosols</span> above cloud leads to an underestimate of <span class="hlt">image</span>-averaged COD by 15%.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://eric.ed.gov/?q=red+AND+wings&id=ED189125','ERIC'); return false;" href="https://eric.ed.gov/?q=red+AND+wings&id=ED189125"><span>Evaluation of Title I <span class="hlt">CAI</span> Programs at Minnesota State Correctional Institutions.</span></a></p> <p><a target="_blank" href="http://www.eric.ed.gov/ERICWebPortal/search/extended.jsp?_pageLabel=advanced">ERIC Educational Resources Information Center</a></p> <p>Sandman, Richard S.; Welch, Wayne W.</p> <p></p> <p>Three Minnesota correctional institutions used computer-assisted instruction (<span class="hlt">CAI</span>) on PLATO terminals to improve reading and mathematics skills: (1) the State Reformatory for Men, St. Cloud (males, ages 17-21); (2) the Minnesota Home School, Sauk Centre (males and females, ages 12-18); and (3) the State Training School, Red Wing (males, ages…</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://eric.ed.gov/?q=accounting+AND+fundamentals&pg=7&id=EJ550830','ERIC'); return false;" href="https://eric.ed.gov/?q=accounting+AND+fundamentals&pg=7&id=EJ550830"><span>Role of Computer Assisted Instruction (<span class="hlt">CAI</span>) in an Introductory Computer Concepts Course.</span></a></p> <p><a target="_blank" href="http://www.eric.ed.gov/ERICWebPortal/search/extended.jsp?_pageLabel=advanced">ERIC Educational Resources Information Center</a></p> <p>Skudrna, Vincent J.</p> <p>1997-01-01</p> <p>Discusses the role of computer assisted instruction (<span class="hlt">CAI</span>) in undergraduate education via a survey of related literature and specific applications. Describes an undergraduate computer concepts course and includes appendices of instructions, flowcharts, programs, sample student work in accounting, COBOL instructional model, decision logic in a…</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.ncbi.nlm.nih.gov/pubmed/26159472','PUBMED'); return false;" href="https://www.ncbi.nlm.nih.gov/pubmed/26159472"><span>Changes in flavour and microbial diversity during natural fermentation of suan-<span class="hlt">cai</span>, a traditional food made in Northeast China.</span></a></p> <p><a target="_blank" href="https://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pubmed">PubMed</a></p> <p>Wu, Rina; Yu, Meiling; Liu, Xiaoyu; Meng, Lingshuai; Wang, Qianqian; Xue, Yating; Wu, Junrui; Yue, Xiqing</p> <p>2015-10-15</p> <p>We measured changes in the main physical and chemical properties, flavour compounds and microbial diversity in suan-<span class="hlt">cai</span> during natural fermentation. The results showed that the pH and concentration of soluble protein initially decreased but were then maintained at a stable level; the concentration of nitrite increased in the initial fermentation stage and after reaching a peak it decreased significantly to a low level by the end of fermentation. Suan-<span class="hlt">cai</span> was rich in 17 free amino acids. All of the free amino acids increased in concentration to different degrees, except histidine. Total free amino acids reached their highest levels in the mid-fermentation stage. The 17 volatile flavour components identified at the start of fermentation increased to 57 by the mid-fermentation stage; esters and aldehydes were in the greatest diversity and abundance, contributing most to the aroma of suan-<span class="hlt">cai</span>. Bacteria were more abundant and diverse than fungi in suan-<span class="hlt">cai</span>; 14 bacterial species were identified from the genera Leuconostoc, Bacillus, Pseudomonas and Lactobacillus. The predominant fungal species identified were Debaryomyces hansenii, Candida tropicalis and Penicillium expansum. Copyright © 2015 Elsevier B.V. All rights reserved.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.ncbi.nlm.nih.gov/pubmed/25284435','PUBMED'); return false;" href="https://www.ncbi.nlm.nih.gov/pubmed/25284435"><span>Brain responses to sexual <span class="hlt">images</span> in 46,XY women with complete androgen insensitivity syndrome are female-typical.</span></a></p> <p><a target="_blank" href="https://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pubmed">PubMed</a></p> <p>Hamann, Stephan; Stevens, Jennifer; Vick, Janice Hassett; Bryk, Kristina; Quigley, Charmian A; Berenbaum, Sheri A; Wallen, Kim</p> <p>2014-11-01</p> <p>Androgens, estrogens, and sex chromosomes are the major influences guiding sex differences in brain development, yet their relative roles and importance remain unclear. Individuals with complete androgen insensitivity syndrome (<span class="hlt">CAIS</span>) offer a unique opportunity to address these issues. Although women with <span class="hlt">CAIS</span> have a Y chromosome, testes, and produce male-typical levels of androgens, they lack functional androgen receptors preventing responding to their androgens. Thus, they develop a female physical phenotype, are reared as girls, and develop into women. Because sexually differentiated brain development in primates is determined primarily by androgens, but may be affected by sex chromosome complement, it is currently unknown whether brain structure and function in women with <span class="hlt">CAIS</span> is more like that of women or men. In the first functional neuroimaging study of (46,XY) women with <span class="hlt">CAIS</span>, typical (46,XX) women, and typical (46, XY) men, we found that men showed greater amygdala activation to sexual <span class="hlt">images</span> than did either typical women or women with <span class="hlt">CAIS</span>. Typical women and women with <span class="hlt">CAIS</span> had highly similar patterns of brain activation, indicating that a Y chromosome is insufficient for male-typical human brain responses. Because women with <span class="hlt">CAIS</span> produce male-typical or elevated levels of testosterone which is aromatized to estradiol these results rule out aromatization of testosterone to estradiol as a determinate of sex differences in patterns of brain activation to sexual <span class="hlt">images</span>. We cannot, however, rule out an effect of social experience on the brain responses of women with <span class="hlt">CAIS</span> as all were raised as girls. Copyright © 2014 Elsevier Inc. All rights reserved.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://ntrs.nasa.gov/search.jsp?R=19850054072&hterms=Prize&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DTitle%26N%3D0%26No%3D10%26Ntt%3DPrize','NASA-TRS'); return false;" href="https://ntrs.nasa.gov/search.jsp?R=19850054072&hterms=Prize&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DTitle%26N%3D0%26No%3D10%26Ntt%3DPrize"><span>Willy: A prize noble Ur-Fremdling - Its history and implications for the formation of Fremdlinge and <span class="hlt">CAI</span></span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Armstrong, J. T.; El Goresy, A.; Wasserburg, G. J.</p> <p>1985-01-01</p> <p>The structure and composition of Willy, a 150-micron-diameter Fremdling in <span class="hlt">CAI</span> 5241 from the Allende meteorite, are investigated using optical, secondary-electron, and electron-backscatter microscopy and electron-microprobe analysis. The results are presented in diagrams, maps, tables, graphs, and micrographs and compared with those for other Allende Fremdlinge. Willy is found to have a concentric-zone structure comprising a complex porous core of magnetite, metal, sulfide, scheelite, and other minor phases; a compact magnetite-apatite mantle; a thin (20 microns or less) reaction-assemblage zone; and a dense outer rim of fassaite with minor spinel. A multistage formation sequence involving changes in T and fO2 and preceding the introduction of Willy into the <span class="hlt">CAI</span> (which itself preceded <span class="hlt">CAI</span> spinel and silicate formation) is postulated, and it is inferred from the apparent lack of post-capture recrystallization that Willy has not been subjected to temperatures in excess of 600 C and may represent the precursor material for many other Fremdlinge.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017AGUFM.A11C1900V','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017AGUFM.A11C1900V"><span>First Results of AirMSPI <span class="hlt">Imaging</span> Polarimetry at ORACLES 2016: <span class="hlt">Aerosol</span> and Water Cloud Retrievals</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>van Harten, G.; Xu, F.; Diner, D. J.; Rheingans, B. E.; Tosca, M.; Seidel, F.; Bull, M. A.; Tkatcheva, I. N.; McDuffie, J. L.; Garay, M. J.; Jovanovic, V. M.; Cairns, B.; Alexandrov, M. D.; Hostetler, C. A.; Ferrare, R. A.; Burton, S. P.</p> <p>2017-12-01</p> <p>The Airborne Multiangle SpectroPolarimetric <span class="hlt">Imager</span> (AirMSPI) is a remote sensing instrument for the characterization of atmospheric <span class="hlt">aerosols</span> and clouds. We will report on the successful deployment and resulting data products of AirMSPI in the 2016 field campaign as part of NASA's ObseRvations of <span class="hlt">Aerosols</span> above CLouds and their intEractionS (ORACLES). The goal of this five-year investigation is to study the impacts of African biomass burning <span class="hlt">aerosols</span> on the radiative properties of the subtropical stratocumulus cloud deck over the southeast Atlantic Ocean. On board the NASA ER-2 high-altitude aircraft, AirMSPI collected over 4000 high-resolution <span class="hlt">images</span> on 16 days. The observations are performed in two different modes: step-and-stare mode, in which a 10x10 km target is observed from 9 view angles at 10 m resolution, and sweep mode, where a 80-100 km along-track by 10-25 km across-track target is observed with continuously changing view angle between ±67° at 25 m resolution. This Level 1B2 calibrated and georectified imagery is publically available at the NASA Langley Atmospheric Science Data Center (ASDC)*. We will then describe the Level 2 water cloud products that will be made publically available, viz. optical depth and droplet size distribution, which are retrieved using a polarimetric algorithm. Finally, we will present the results of a recently developed research algorithm for the simultaneous retrieval of these cloud properties and above-cloud <span class="hlt">aerosols</span>, and validations using collocated High Spectral Resolution Lidar-2 (HSRL-2) and Research Scanning Polarimeter (RSP) products. * https://eosweb.larc.nasa.gov/project/airmspi/airmspi_table</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20060047785','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20060047785"><span><span class="hlt">Aerosol</span> Lidar and MODIS Satellite Comparisons for Future <span class="hlt">Aerosol</span> Loading Forecast</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>DeYoung, Russell; Szykman, James; Severance, Kurt; Chu, D. Allen; Rosen, Rebecca; Al-Saadi, Jassim</p> <p>2006-01-01</p> <p>Knowledge of the concentration and distribution of atmospheric <span class="hlt">aerosols</span> using both airborne lidar and satellite instruments is a field of active research. An aircraft based <span class="hlt">aerosol</span> lidar has been used to study the distribution of atmospheric <span class="hlt">aerosols</span> in the California Central Valley and eastern US coast. Concurrently, satellite <span class="hlt">aerosol</span> retrievals, from the MODIS (Moderate Resolution <span class="hlt">Imaging</span> Spectroradiometer) instrument aboard the Terra and Aqua satellites, were take over the Central Valley. The MODIS Level 2 <span class="hlt">aerosol</span> data product provides retrieved ambient <span class="hlt">aerosol</span> optical properties (e.g., optical depth (AOD) and size distribution) globally over ocean and land at a spatial resolution of 10 km. The Central Valley topography was overlaid with MODIS AOD (5x5 sq km resolution) and the <span class="hlt">aerosol</span> scattering vertical profiles from a lidar flight. Backward air parcel trajectories for the lidar data show that air from the Pacific and northern part of the Central Valley converge confining the <span class="hlt">aerosols</span> to the lower valley region and below the mixed layer. Below an altitude of 1 km, the lidar <span class="hlt">aerosol</span> and MODIS AOD exhibit good agreement. Both data sets indicate a high presence of <span class="hlt">aerosols</span> near Bakersfield and the Tehachapi Mountains. These and other results to be presented indicate that the majority of the <span class="hlt">aerosols</span> are below the mixed layer such that the MODIS AOD should correspond well with surface measurements. Lidar measurements will help interpret satellite AOD retrievals so that one day they can be used on a routine basis for prediction of boundary layer <span class="hlt">aerosol</span> pollution events.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://ntrs.nasa.gov/search.jsp?R=20170003718&hterms=climatology&qs=N%3D0%26Ntk%3DAll%26Ntx%3Dmode%2Bmatchall%26Ntt%3Dclimatology','NASA-TRS'); return false;" href="https://ntrs.nasa.gov/search.jsp?R=20170003718&hterms=climatology&qs=N%3D0%26Ntk%3DAll%26Ntx%3Dmode%2Bmatchall%26Ntt%3Dclimatology"><span>Climatology of the <span class="hlt">Aerosol</span> Optical Depth by Components from the Multi-Angle <span class="hlt">Imaging</span> Spectroradiometer (MISR) and Chemistry Transport Models</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Lee, Huikyo; Kalashnikova, Olga V.; Suzuki, Kentaroh; Braverman, Amy; Garay, Michael J.; Kahn, Ralph A.</p> <p>2016-01-01</p> <p>The Multi-angle <span class="hlt">Imaging</span> Spectroradiometer (MISR) Joint <span class="hlt">Aerosol</span> (JOINT_AS) Level 3 product has provided a global, descriptive summary of MISR Level 2 <span class="hlt">aerosol</span> optical depth (AOD) and <span class="hlt">aerosol</span> type information for each month over 16+ years since March 2000. Using Version 1 of JOINT_AS, which is based on the operational (Version 22) MISR Level 2 <span class="hlt">aerosol</span> product, this study analyzes, for the first time, characteristics of observed and simulated distributions of AOD for three broad classes of <span class="hlt">aerosols</span>: spherical nonabsorbing, spherical absorbing, and nonspherical - near or downwind of their major source regions. The statistical moments (means, standard deviations, and skew-nesses) and distributions of AOD by components derived from the JOINT_AS are compared with results from two chemistry transport models (CTMs), the Goddard Chemistry <span class="hlt">Aerosol</span> Radiation and Transport (GOCART) and SPectral RadIatioN-TrAnSport (SPRINTARS). Overall, the AOD distributions retrieved from MISR and modeled by GOCART and SPRINTARS agree with each other in a qualitative sense. Marginal distributions of AOD for each <span class="hlt">aerosol</span> type in both MISR and models show considerable high positive skewness, which indicates the importance of including extreme AOD events when comparing satellite retrievals with models. The MISR JOINT_AS product will greatly facilitate comparisons between satellite observations and model simulations of <span class="hlt">aerosols</span> by type.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://eric.ed.gov/?q=Body+AND+combat&pg=6&id=ED043228','ERIC'); return false;" href="https://eric.ed.gov/?q=Body+AND+combat&pg=6&id=ED043228"><span>Computer-Assisted Instruction in Engineering Dynamics. <span class="hlt">CAI</span>-Systems Memo Number 18.</span></a></p> <p><a target="_blank" href="http://www.eric.ed.gov/ERICWebPortal/search/extended.jsp?_pageLabel=advanced">ERIC Educational Resources Information Center</a></p> <p>Sheldon, John W.</p> <p></p> <p>A 90-minute computer-assisted instruction (<span class="hlt">CAI</span>) unit course supplemented by a 1-hour lecture on the dynamic nature of three-dimensional rotations and Euler angles was given to 29 undergraduate engineering students. The area of Euler angles was selected because it is essential to problem-working in three-dimensional rotations of a rigid body, yet…</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017JGRD..12213338W','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017JGRD..12213338W"><span>A Simple and Universal <span class="hlt">Aerosol</span> Retrieval Algorithm for Landsat Series <span class="hlt">Images</span> Over Complex Surfaces</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Wei, Jing; Huang, Bo; Sun, Lin; Zhang, Zhaoyang; Wang, Lunche; Bilal, Muhammad</p> <p>2017-12-01</p> <p>Operational <span class="hlt">aerosol</span> optical depth (AOD) products are available at coarse spatial resolutions from several to tens of kilometers. These resolutions limit the application of these products for monitoring atmospheric pollutants at the city level. Therefore, a simple, universal, and high-resolution (30 m) Landsat <span class="hlt">aerosol</span> retrieval algorithm over complex urban surfaces is developed. The surface reflectance is estimated from a combination of top of atmosphere reflectance at short-wave infrared (2.22 μm) and Landsat 4-7 surface reflectance climate data records over densely vegetated areas and bright areas. The <span class="hlt">aerosol</span> type is determined using the historical <span class="hlt">aerosol</span> optical properties derived from the local urban <span class="hlt">Aerosol</span> Robotic Network (AERONET) site (Beijing). AERONET ground-based sun photometer AOD measurements from five sites located in urban and rural areas are obtained to validate the AOD retrievals. Terra MODerate resolution <span class="hlt">Imaging</span> Spectrometer Collection (C) 6 AOD products (MOD04) including the dark target (DT), the deep blue (DB), and the combined DT and DB (DT&DB) retrievals at 10 km spatial resolution are obtained for comparison purposes. Validation results show that the Landsat AOD retrievals at a 30 m resolution are well correlated with the AERONET AOD measurements (R2 = 0.932) and that approximately 77.46% of the retrievals fall within the expected error with a low mean absolute error of 0.090 and a root-mean-square error of 0.126. Comparison results show that Landsat AOD retrievals are overall better and less biased than MOD04 AOD products, indicating that the new algorithm is robust and performs well in AOD retrieval over complex surfaces. The new algorithm can provide continuous and detailed spatial distributions of AOD during both low and high <span class="hlt">aerosol</span> loadings.</p> </li> </ol> <div class="pull-right"> <ul class="pagination"> <li><a href="#" onclick='return showDiv("page_1");'>«</a></li> <li><a href="#" onclick='return showDiv("page_7");'>7</a></li> <li><a href="#" onclick='return showDiv("page_8");'>8</a></li> <li class="active"><span>9</span></li> <li><a href="#" onclick='return showDiv("page_10");'>10</a></li> <li><a href="#" onclick='return showDiv("page_11");'>11</a></li> <li><a href="#" onclick='return showDiv("page_25");'>»</a></li> </ul> </div> </div><!-- col-sm-12 --> </div><!-- row --> </div><!-- page_9 --> <div id="page_10" class="hiddenDiv"> <div class="row"> <div class="col-sm-12"> <div class="pull-right"> <ul class="pagination"> <li><a href="#" onclick='return showDiv("page_1");'>«</a></li> <li><a href="#" onclick='return showDiv("page_8");'>8</a></li> <li><a href="#" onclick='return showDiv("page_9");'>9</a></li> <li class="active"><span>10</span></li> <li><a href="#" onclick='return showDiv("page_11");'>11</a></li> <li><a href="#" onclick='return showDiv("page_12");'>12</a></li> <li><a href="#" onclick='return showDiv("page_25");'>»</a></li> </ul> </div> </div> </div> <div class="row"> <div class="col-sm-12"> <ol class="result-class" start="181"> <li> <p><a target="_blank" onclick="trackOutboundLink('https://eric.ed.gov/?q=histology&pg=5&id=EJ635928','ERIC'); return false;" href="https://eric.ed.gov/?q=histology&pg=5&id=EJ635928"><span>Web Pages: An Effective Method of Providing <span class="hlt">CAI</span> Resource Material in Histology.</span></a></p> <p><a target="_blank" href="http://www.eric.ed.gov/ERICWebPortal/search/extended.jsp?_pageLabel=advanced">ERIC Educational Resources Information Center</a></p> <p>McLean, Michelle</p> <p>2001-01-01</p> <p>Presents research that introduces computer-aided instruction (<span class="hlt">CAI</span>) resource material as an integral part of the second-year histology course at the University of Natal Medical School. Describes the ease with which this software can be developed, using limited resources and available skills, while providing students with valuable learning…</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2010EGUGA..12.5427D','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2010EGUGA..12.5427D"><span>Reflections on current and future applications of multiangle <span class="hlt">imaging</span> to <span class="hlt">aerosol</span> and cloud remote sensing</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Diner, David</p> <p>2010-05-01</p> <p>The Multi-angle <span class="hlt">Imaging</span> SpectroRadiometer (MISR) instrument has been collecting global Earth data from NASA's Terra satellite since February 2000. With its 9 along-track view angles, 4 spectral bands, intrinsic spatial resolution of 275 m, and stable radiometric and geometric calibration, no instrument that combines MISR's attributes has previously flown in space, nor is there is a similar capability currently available on any other satellite platform. Multiangle <span class="hlt">imaging</span> offers several tools for remote sensing of <span class="hlt">aerosol</span> and cloud properties, including bidirectional reflectance and scattering measurements, stereoscopic pattern matching, time lapse sequencing, and potentially, optical tomography. Current data products from MISR employ several of these techniques. Observations of the intensity of scattered light as a function of view angle and wavelength provide accurate measures of <span class="hlt">aerosol</span> optical depths (AOD) over land, including bright desert and urban source regions. Partitioning of AOD according to retrieved particle classification and incorporation of height information improves the relationship between AOD and surface PM2.5 (fine particulate matter, a regulated air pollutant), constituting an important step toward a satellite-based particulate pollution monitoring system. Stereoscopic cloud-top heights provide a unique metric for detecting interannual variability of clouds and exceptionally high quality and sensitivity for detection and height retrieval for low-level clouds. Using the several-minute time interval between camera views, MISR has enabled a pole-to-pole, height-resolved atmospheric wind measurement system. Stereo imagery also makes possible global measurement of the injection heights and advection speeds of smoke plumes, volcanic plumes, and dust clouds, for which a large database is now available. To build upon what has been learned during the first decade of MISR observations, we are evaluating algorithm updates that not only refine retrieval</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://www.dtic.mil/docs/citations/ADA186080','DTIC-ST'); return false;" href="http://www.dtic.mil/docs/citations/ADA186080"><span>A Prototype of Pilot Knowledge Evaluation by an Intelligent <span class="hlt">CAI</span> (Computer -Aided Instruction) System Using a Bayesian Diagnostic Model.</span></a></p> <p><a target="_blank" href="http://www.dtic.mil/">DTIC Science & Technology</a></p> <p></p> <p>1987-06-01</p> <p>to a field of research called Computer-Aided Instruction (<span class="hlt">CAI</span>). <span class="hlt">CAI</span> is a powerful methodology for enhancing the overall quaiity and effectiveness of...provides a very powerful tool for statistical inference, especially when pooling informations from different source is appropriate. Thus. prior...04 , 2 ’ .. ."k, + ++ ,,;-+-,..,,..v ->’,0,,.’ I The power of the model lies in its ability to adapt a diagnostic session to the level of knowledge</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2005LPI....36.1525Y','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2005LPI....36.1525Y"><span>Supra-Canonical Initial 26Al/27Al Indicate a 105 Year Residence Time for <span class="hlt">CAIs</span> in the Solar Proto-Planetary Disk</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Young, E. D.; Simon, J. I.; Galy, A.; Russell, S. S.; Tonui, E. K.; Lovera, O.</p> <p>2005-03-01</p> <p>We present new UV laser ablation and acid digestion MC-ICPMS analyses of 8 <span class="hlt">CAIs</span> showing that there was more 26Al in the early solar system than previously thought, and that the canonical initial 26Al/27Al represents a ~300,000 yr residence time for <span class="hlt">CAIs</span> in the protoplanetary disk.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017LPICo1987.6381D','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017LPICo1987.6381D"><span>The Range of Initial 10Be/9Be Ratios in the Early Solar System: A Re-Assessment Based on Analyses of New <span class="hlt">CAIs</span> and Melilite Composition Glass Standards</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Dunham, E.; Wadhwa, M.; Liu, M.-C.</p> <p>2017-07-01</p> <p>We report a more accurate range of initial 10Be/9Be in <span class="hlt">CAIs</span> including FUN <span class="hlt">CAI</span> CMS-1 from Allende (CV3) and a new <span class="hlt">CAI</span> from NWA 5508 (CV3) using melilite composition glass standards; we suggest 10Be is largely produced by irradiation in the nebula.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017AGUFM.P51A2558C','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017AGUFM.P51A2558C"><span>Exploring Chondrule and <span class="hlt">CAI</span> Rims Using Micro- and Nano-Scale Petrological and Compositional Analysis</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Cartwright, J. A.; Perez-Huerta, A.; Leitner, J.; Vollmer, C.</p> <p>2017-12-01</p> <p>As the major components within chondrites, chondrules (mm-sized droplets of quenched silicate melt) and calcium-aluminum-rich inclusions (<span class="hlt">CAI</span>, refractory) represent the most abundant and the earliest materials that solidified from the solar nebula. However, the exact formation mechanisms of these clasts, and whether these processes are related, remains unconstrained, despite extensive petrological and compositional study. By taking advantage of recent advances in nano-scale tomographical techniques, we have undertaken a combined micro- and nano-scale study of <span class="hlt">CAI</span> and chondrule rim morphologies, to investigate their formation mechanisms. The target lithologies for this research are Wark-Lovering rims (WLR), and fine-grained rims (FGR) around <span class="hlt">CAIs</span> and chondrules respectively, present within many chondrites. The FGRs, which are up to 100 µm thick, are of particular interest as recent studies have identified presolar grains within them. These grains predate the formation of our Solar System, suggesting FGR formation under nebular conditions. By contrast, WLRs are 10-20 µm thick, made of different compositional layers, and likely formed by flash-heating shortly after <span class="hlt">CAI</span> formation, thus recording nebular conditions. A detailed multi-scale study of these respective rims will enable us to better understand their formation histories and determine the potential for commonality between these two phases, despite reports of an observed formation age difference of up to 2-3 Myr. We are using a combination of complimentary techniques on our selected target areas: 1) Micro-scale characterization using standard microscopic and compositional techniques (SEM-EBSD, EMPA); 2) Nano-scale characterization of structures using transmission electron microscopy (TEM) and elemental, isotopic and tomographic analysis with NanoSIMS and atom probe tomography (APT). Preliminary nano-scale APT analysis of FGR morphologies within the Allende carbonaceous chondrite has successfully discerned</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://ntrs.nasa.gov/search.jsp?R=20080002216&hterms=kaufman&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D80%26Ntt%3Dkaufman','NASA-TRS'); return false;" href="https://ntrs.nasa.gov/search.jsp?R=20080002216&hterms=kaufman&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D80%26Ntt%3Dkaufman"><span>Evaluation of <span class="hlt">Aerosol</span> Properties over Ocean from Moderate Resolution <span class="hlt">Imaging</span> Spectroradiometer (MODIS) during ACE-Asia</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Chu, D. A.; Remer, L. A.; Kaufman, Y. J.; Schmid, B.; Redemann, J.; Knobelspiesse, K.; Chern, J.-D.; Livingston, J.; Russell, P. B.; Xiong, X.; <a style="text-decoration: none; " href="javascript:void(0); " onClick="displayelement('author_20080002216'); toggleEditAbsImage('author_20080002216_show'); toggleEditAbsImage('author_20080002216_hide'); "> <img style="display:inline; width:12px; height:12px; " src="images/arrow-up.gif" width="12" height="12" border="0" alt="hide" id="author_20080002216_show"> <img style="width:12px; height:12px; display:none; " src="images/arrow-down.gif" width="12" height="12" border="0" alt="hide" id="author_20080002216_hide"></p> <p>2005-01-01</p> <p>The <span class="hlt">Aerosol</span> Characterization Experiment-Asia (ACE-Asia) was conducted in March-May 2001 in the western North Pacific in order to characterize the complex mix of dust, smoke, urban/industrial pollution, and background marine <span class="hlt">aerosol</span> that is observed in that region in springtime. The Moderate Resolution <span class="hlt">Imaging</span> Spectroradiometer (MODIS) provides a large-scale regional view of the <span class="hlt">aerosol</span> during the ACE-Asia time period. Focusing only on <span class="hlt">aerosol</span> retrievals over ocean, MODIS data show latitudinal and longitudinal variation in the <span class="hlt">aerosol</span> characteristics. Typically, <span class="hlt">aerosol</span> optical depth (tau(sub a)) values at 0.55 micrometers are highest in the 30 deg. - 50 deg. latitude band associated with dust outbreaks. Monthly mean tau(sub a) in this band ranges approx. 0.40-70, although large differences between monthly mean and median values indicate the periodic nature of these dust outbreaks. The size parameters, fine mode fraction (eta), and effective radius (r(sub eff)) vary between monthly mean values of eta = 0.47 and r(sub eff)= 0.75 micrometers in the cleanest regions far offshore to approximately eta = 0.85 and r(sub eff) =.30 micrometers in near-shore regions dominated by biomass burning smoke. The collocated MODIS retrievals with airborne, ship-based, and ground-based radiometers measurements suggest that MODIS retrievals of spectral optical depth fall well within expected error (DELTA tau(sub a) = plus or minus 0.03 plus or minus 0.05 tau(sub a)) except in situations dominated by dust, in which cases MODIS overestimate both the <span class="hlt">aerosol</span> loading and the <span class="hlt">aerosol</span> spectral dependence. Such behavior is consistent with issues related to particle nonsphericity. Comparisons of MODIS-derived r(sub eff) with AERONET retrievals at the few occurrences of collocations show MODIS systematically underestimates particle size by 0.2 micrometers. Multiple-year analysis of MODIS <span class="hlt">aerosol</span> size parameters suggests systematic differences between the year 2001 and the years 2000 and 2002</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://files.eric.ed.gov/fulltext/ED074769.pdf','ERIC'); return false;" href="http://files.eric.ed.gov/fulltext/ED074769.pdf"><span>Evaluation of a Text Compression Algorithm Against Computer-Aided Instruction (<span class="hlt">CAI</span>) Material.</span></a></p> <p><a target="_blank" href="http://www.eric.ed.gov/ERICWebPortal/search/extended.jsp?_pageLabel=advanced">ERIC Educational Resources Information Center</a></p> <p>Knight, Joseph M., Jr.</p> <p></p> <p>This report describes the initial evaluation of a text compression algorithm against computer assisted instruction (<span class="hlt">CAI</span>) material. A review of some concepts related to statistical text compression is followed by a detailed description of a practical text compression algorithm. A simulation of the algorithm was programed and used to obtain…</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.ncbi.nlm.nih.gov/pubmed/17119596','PUBMED'); return false;" href="https://www.ncbi.nlm.nih.gov/pubmed/17119596"><span><span class="hlt">Aerosol</span> polarization effects on atmospheric correction and <span class="hlt">aerosol</span> retrievals in ocean color remote sensing.</span></a></p> <p><a target="_blank" href="https://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pubmed">PubMed</a></p> <p>Wang, Menghua</p> <p>2006-12-10</p> <p>The current ocean color data processing system for the Sea-viewing Wide Field-of-View Sensor (SeaWiFS) and the moderate resolution <span class="hlt">imaging</span> spectroradiometer (MODIS) uses the Rayleigh lookup tables that were generated using the vector radiative transfer theory with inclusion of the polarization effects. The polarization effects, however, are not accounted for in the <span class="hlt">aerosol</span> lookup tables for the ocean color data processing. I describe a study of the <span class="hlt">aerosol</span> polarization effects on the atmospheric correction and <span class="hlt">aerosol</span> retrieval algorithms in the ocean color remote sensing. Using an efficient method for the multiple vector radiative transfer computations, <span class="hlt">aerosol</span> lookup tables that include polarization effects are generated. Simulations have been carried out to evaluate the <span class="hlt">aerosol</span> polarization effects on the derived ocean color and <span class="hlt">aerosol</span> products for all possible solar-sensor geometries and the various <span class="hlt">aerosol</span> optical properties. Furthermore, the new <span class="hlt">aerosol</span> lookup tables have been implemented in the SeaWiFS data processing system and extensively tested and evaluated with SeaWiFS regional and global measurements. Results show that in open oceans (maritime environment), the <span class="hlt">aerosol</span> polarization effects on the ocean color and <span class="hlt">aerosol</span> products are usually negligible, while there are some noticeable effects on the derived products in the coastal regions with nonmaritime <span class="hlt">aerosols</span>.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2016MS%26E..148a2083P','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2016MS%26E..148a2083P"><span>Numerical investigation of <span class="hlt">CAI</span> Combustion in the Opposed- Piston Engine with Direct and Indirect Water Injection</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Pyszczek, R.; Mazuro, P.; Teodorczyk, A.</p> <p>2016-09-01</p> <p>This paper is focused on the <span class="hlt">CAI</span> combustion control in a turbocharged 2-stroke Opposed-Piston (OP) engine. The barrel type OP engine arrangement is of particular interest for the authors because of its robust design, high mechanical efficiency and relatively easy incorporation of a Variable Compression Ratio (VCR). The other advantage of such design is that combustion chamber is formed between two moving pistons - there is no additional cylinder head to be cooled which directly results in an increased thermal efficiency. Furthermore, engine operation in a Controlled Auto-Ignition (<span class="hlt">CAI</span>) mode at high compression ratios (CR) raises a possibility of reaching even higher efficiencies and very low emissions. In order to control <span class="hlt">CAI</span> combustion such measures as VCR and water injection were considered for indirect ignition timing control. Numerical simulations of the scavenging and combustion processes were performed with the 3D CFD multipurpose AVL Fire solver. Numerous cases were calculated with different engine compression ratios and different amounts of directly and indirectly injected water. The influence of the VCR and water injection on the ignition timing and engine performance was determined and their application in the real engine was discussed.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.ncbi.nlm.nih.gov/pubmed/29407387','PUBMED'); return false;" href="https://www.ncbi.nlm.nih.gov/pubmed/29407387"><span>Bacterial and fungal microbiota of spontaneously fermented Chinese products, Rubing milk cake and Yan-<span class="hlt">cai</span> vegetable pickles.</span></a></p> <p><a target="_blank" href="https://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pubmed">PubMed</a></p> <p>Liu, Xin; Kuda, Takashi; Takahashi, Hajime; Kimura, Bon</p> <p>2018-06-01</p> <p>The Rubing milk cake from Yunnan and the Yan-<span class="hlt">cai</span> vegetable pickles from Guangdong are traditional spontaneously fermented foods in China. We evaluated the microbial properties of these products with the analysis of their bacterial and fungal microbiota using classical culture-dependent and culture-independent methods, including a 16S rDNA gene (V4) and an internal transcribed spacer (ITS) region pyrosequencing method with MiSeq system. The viable lactic acid bacteria (LAB) count was 8 and 6 log colony-forming units (CFU)/g in Rubing and Yan-<span class="hlt">cai</span> samples, respectively. The yeast count was approximately 100-1000 times less than the LAB count in most samples, except one Yan-<span class="hlt">cai</span> sample. In addition, the gram-negative rod count in half of the samples was similar to the LAB count. Pyrosequencing results revealed the high abundance (10%-20%) of gram-negative Pseudomonas spp. and Enterobacteriaceae in these samples. These results suggest that some of these traditional foods are undesirable as ready-to-eat (RTE) foods, even when these are typical lactic acid fermented foods. Copyright © 2017 Elsevier Ltd. All rights reserved.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://eric.ed.gov/?q=Should+AND+programming+AND+taught&pg=2&id=ED295668','ERIC'); return false;" href="https://eric.ed.gov/?q=Should+AND+programming+AND+taught&pg=2&id=ED295668"><span>A CBI Model for the Design of <span class="hlt">CAI</span> Software by Teachers/Nonprogrammers.</span></a></p> <p><a target="_blank" href="http://www.eric.ed.gov/ERICWebPortal/search/extended.jsp?_pageLabel=advanced">ERIC Educational Resources Information Center</a></p> <p>Tessmer, Martin; Jonassen, David H.</p> <p></p> <p>This paper describes a design model presented in workbook form which is intended to facilitate computer-assisted instruction (<span class="hlt">CAI</span>) software design by teachers who do not have programming experience. Presentation of the model is preceded by a number of assumptions that underlie the instructional content and methods of the textbook. It is argued…</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20120017003','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20120017003"><span>Estimating Marine <span class="hlt">Aerosol</span> Particle Volume and Number from Maritime <span class="hlt">Aerosol</span> Network Data</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Sayer, A. M.; Smirnov, A.; Hsu, N. C.; Munchak, L. A.; Holben, B. N.</p> <p>2012-01-01</p> <p>As well as spectral <span class="hlt">aerosol</span> optical depth (AOD), <span class="hlt">aerosol</span> composition and concentration (number, volume, or mass) are of interest for a variety of applications. However, remote sensing of these quantities is more difficult than for AOD, as it is more sensitive to assumptions relating to <span class="hlt">aerosol</span> composition. This study uses spectral AOD measured on Maritime <span class="hlt">Aerosol</span> Network (MAN) cruises, with the additional constraint of a microphysical model for unpolluted maritime <span class="hlt">aerosol</span> based on analysis of <span class="hlt">Aerosol</span> Robotic Network (AERONET) inversions, to estimate these quantities over open ocean. When the MAN data are subset to those likely to be comprised of maritime <span class="hlt">aerosol</span>, number and volume concentrations obtained are physically reasonable. Attempts to estimate surface concentration from columnar abundance, however, are shown to be limited by uncertainties in vertical distribution. Columnar AOD at 550 nm and <span class="hlt">aerosol</span> number for unpolluted maritime cases are also compared with Moderate Resolution <span class="hlt">Imaging</span> Spectroradiometer (MODIS) data, for both the present Collection 5.1 and forthcoming Collection 6. MODIS provides a best-fitting retrieval solution, as well as the average for several different solutions, with different <span class="hlt">aerosol</span> microphysical models. The average solution MODIS dataset agrees more closely with MAN than the best solution dataset. Terra tends to retrieve lower <span class="hlt">aerosol</span> number than MAN, and Aqua higher, linked with differences in the <span class="hlt">aerosol</span> models commonly chosen. Collection 6 AOD is likely to agree more closely with MAN over open ocean than Collection 5.1. In situations where spectral AOD is measured accurately, and <span class="hlt">aerosol</span> microphysical properties are reasonably well-constrained, estimates of <span class="hlt">aerosol</span> number and volume using MAN or similar data would provide for a greater variety of potential comparisons with <span class="hlt">aerosol</span> properties derived from satellite or chemistry transport model data.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.ncbi.nlm.nih.gov/pubmed/17034300','PUBMED'); return false;" href="https://www.ncbi.nlm.nih.gov/pubmed/17034300"><span>Generating monodisperse pharmacological <span class="hlt">aerosols</span> using the spinning-top <span class="hlt">aerosol</span> generator.</span></a></p> <p><a target="_blank" href="https://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pubmed">PubMed</a></p> <p>Biddiscombe, Martyn F; Barnes, Peter J; Usmani, Omar S</p> <p>2006-01-01</p> <p>Pharmacological <span class="hlt">aerosols</span> of precisely controlled particle size and narrow dispersity can be generated using the spinning-top <span class="hlt">aerosol</span> generator (STAG). The ability of the STAG to generate monodisperse <span class="hlt">aerosols</span> from solutions of raw drug compounds makes it a valuable research instrument. In this paper, the versatility of this instrument has been further demonstrated by <span class="hlt">aerosolizing</span> a range of commercially available nebulized pulmonary therapy preparations. Nebules of Flixotide (fluticasone propionate), Pulmicort (budesonide), Combivent (salbutamol sulphate and ipratropium bromide), Bricanyl (terbutaline sulphate), Atrovent(ipratropium bromide), and Salamol (salbutamol sulphate) were each mixed with ethanol and delivered to the STAG. Monodisperse drug <span class="hlt">aerosol</span> distributions were generated with MMADs of 0.95-6.7 microm. To achieve larger particle sizes from the nebulizer drug suspensions, the STAG formed compound particle agglomerates derived from the smaller insoluble drug particles. These compound agglomerates behaved aerodynamically as a single particle, and this was verified using an aerodynamic particle sizer and an Andersen Cascade Impactor. Scanning electron microscope <span class="hlt">images</span> demonstrated their physical structure. On the other hand using the nebulizer drug solutions, spherical particles proportional to the original droplet diameter were generated. The <span class="hlt">aerosols</span> generated by the STAG can allow investigators to study the scientific principles of inhaled drug deposition and lung physiology for a range of therapeutic agents.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017AGUFM.A14A..08X','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017AGUFM.A14A..08X"><span>Coupled retrieval of water cloud and above-cloud <span class="hlt">aerosol</span> properties using the Airborne Multiangle SpectroPolarimetric <span class="hlt">Imager</span> (AirMSPI)</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Xu, F.; van Harten, G.; Diner, D. J.; Rheingans, B. E.; Tosca, M.; Seidel, F. C.; Bull, M. A.; Tkatcheva, I. N.; McDuffie, J. L.; Garay, M. J.; Davis, A. B.; Jovanovic, V. M.; Brian, C.; Alexandrov, M. D.; Hostetler, C. A.; Ferrare, R. A.; Burton, S. P.</p> <p>2017-12-01</p> <p>The Airborne Multiangle SpectroPolarimetric <span class="hlt">Imager</span> (AirMSPI) has been flying aboard the NASA ER-2 high altitude aircraft since October 2010. AirMSPI acquires radiance and polarization data in bands centered at 355, 380, 445, 470*, 555, 660*, 865*, and 935 nm (*denotes polarimetric bands). In sweep mode, georectified <span class="hlt">images</span> cover an area of 80-100 km (along track) by 10-25 km (across track) between ±66° off nadir, with a map-projected spatial resolution of 25 meters. An efficient and flexible retrieval algorithm has been developed using AirMSPI polarimetric bands for simultaneous retrieval of cloud and above-cloud <span class="hlt">aerosol</span> microphysical properties. We design a three-step retrieval approach, namely 1) estimating effective droplet size distribution using polarimetric cloudbow observations and using it as initial guess for Step 2; 2) combining water cloud and <span class="hlt">aerosol</span> above cloud retrieval by fitting polarimetric signals at all scattering angles (e.g. from 80° to 180°); and 3) constructing a lookup table of radiance for a set of cloud optical depth grids using <span class="hlt">aerosol</span> and cloud information retrieved from Step 2 and then estimating pixel-scale cloud optical depth based on 1D radiative transfer (RT) theory by fitting the AirMSPI radiance. Retrieval uncertainty is formulated by accounting for instrumental errors and constraints imposed on spectral variations of <span class="hlt">aerosol</span> and cloud droplet optical properties. As the forward RT model, a hybrid approach is developed to combine the computational strengths of Markov-chain and adding-doubling methods to model polarized RT in a coupled <span class="hlt">aerosol</span>, Rayleigh and cloud system. Our retrieval approach is tested using 134 AirMSPI datasets acquired during NASA ORACLES field campaign in 09/2016, with low to high <span class="hlt">aerosol</span> loadings. For validation, the retrieved <span class="hlt">aerosol</span> optical depths and cloud-top heights are compared to coincident High Spectral Resolution Lidar-2 (HSRL-2) data, and the droplet size parameters including effective radius and</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/1998PhDT.......222B','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/1998PhDT.......222B"><span>An investigative study into the effectiveness of using computer-aided instruction (<span class="hlt">CAI</span>) as a laboratory component of college-level biology: A case study</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Barrett, Joan Beverly</p> <p></p> <p>Community colleges serve the most diverse student populations in higher education. They consist of non-traditional, part-time, older, intermittent, and mobile students of different races, ethnic backgrounds, language preferences, physical and mental abilities, and learning style preferences. Students who are academically challenged may have diverse learning characteristics that are not compatible with the more traditional approaches to the delivery of instruction. With this need come new ways of solving the dilemma, such as Computer-aided Instruction (<span class="hlt">CAI</span>). This case study investigated the use of <span class="hlt">CAI</span> as a laboratory component of college-level biology in a small, rural community college setting. The intent was to begin to fill a void that seems to exist in the literature regarding the role of the faculty in the development and use of <span class="hlt">CAI</span>. In particular, the investigator was seeking to understand the practice and its effectiveness, especially in helping the under prepared student. The case study approach was chosen to examine a specific phenomenon within a single institution. Ethnographic techniques, such as interviewing, documentary analysis, life's experiences, and participant observations were used to collect data about the phenomena being studied. Results showed that the faculty was primarily self-motivated and self-taught in their use of <span class="hlt">CAI</span> as a teaching and learning tool. The importance of faculty leadership and collegiality was evident. Findings showed the faculty confident that expectations of helping students who have difficulties with mathematical concepts have been met and that <span class="hlt">CAI</span> is becoming the most valuable of learning tools. In a traditional college classroom, or practice, time is the constant (semesters) and competence is the variable. In the <span class="hlt">CAI</span> laboratory time became the variable and competence the constant. The use of <span class="hlt">CAI</span> also eliminated hazardous chemicals that were routinely used in the more traditional lab. Outcomes showed that annual savings</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20140010679','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20140010679"><span>Microstructures of Hibonite From an ALH A77307 (CO3.0) <span class="hlt">CAI</span>: Evidence for Evaporative Loss of Calcium</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Han, Jangmi; Brearley, Adrian J.; Keller, Lindsay P.</p> <p>2014-01-01</p> <p>Hibonite is a comparatively rare, primary phase found in some <span class="hlt">CAIs</span> from different chondrite groups and is also common in Wark-Lovering rims [1]. Hibonite is predicted to be one of the earliest refractory phases to form by equilibrium condensation from a cooling gas of solar composition [2] and, therefore, can be a potential recorder of very early solar system processes. In this study, we describe the microstructures of hibonite from one <span class="hlt">CAI</span> in ALH A77307 (CO3.0) using FIB/TEM techniques in order to reconstruct its formational history.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20070009991','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20070009991"><span>Isotopic Measurements in <span class="hlt">CAIs</span> with the Nanosims: Implications to the understanding of the Formation process of Ca, Al-Rich Inclusions</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Ito, M.; Messenger, S.; Walker, Robert M.</p> <p>2007-01-01</p> <p>Ca, Al-rich Inclusions (<span class="hlt">CAIs</span>) preserve evidence of thermal events that they experienced during their formation in the early solar system. Most <span class="hlt">CAIs</span> from CV and CO chondrites are characterized by large variations in O-isotopic compositions of primary minerals, with spinel, hibonite, and pyroxene being more O-16-rich than melilite and anorthite, with delta 17, O-18 = approx. -40%o (DELTA O-17 = delta O-17 - 0.52 x delta O-18 = approx. - 20%o ). These anomalous compositions cannot be accounted for by standard mass dependent fractionation and diffusive process of those minerals. It requires the presence of an anomalous oxygen reservoir of nucleosynthetic origin or mass independent fractionations before the formation of <span class="hlt">CAIs</span> in the early solar system. The CAMECA NanoSIMS is a new generation ion microprobe that offers high sensitivity isotopic measurements with sub 100 nm spatial resolution. The NanoSIMS has significantly improved abilities in the study of presolar grains in various kind of meteorites and the decay products of extinct nuclides in ancient solar system matter. This instrument promises significant improvements over other conventional ion probes in the precision isotopic characterization of sub-micron scales. We report the results of our first O isotopic measurements of various <span class="hlt">CAI</span> minerals from EK1-6-3 and 7R19-1(a) utilizing the JSC NanoSIMS 50L ion microprobe. We evaluate the measurement conditions, the instrumental mass fractionation factor (IMF) for O isotopic measurement and the accuracy of the isotopic ratio through the analysis of a San Carlos olivine standard and <span class="hlt">CAI</span> sample of 7R19-1(a).</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2015AGUFM.P34B..04K','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2015AGUFM.P34B..04K"><span>Assessment of capabilities of multiangle <span class="hlt">imaging</span> photo-polarimetry for atmospheric correction in presence of absorbing <span class="hlt">aerosols</span></span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Kalashnikova, O. V.; Garay, M. J.; Xu, F.; Seidel, F. C.; Diner, D. J.</p> <p>2015-12-01</p> <p>Satellite remote sensing of ocean color is a critical tool for assessing the productivity of marine ecosystems and monitoring changes resulting from climatic or environmental influences. Yet water-leaving radiance comprises less than 10% of the signal measured from space, making correction for absorption and scattering by the intervening atmosphere imperative. Traditional ocean color retrieval algorithms utilize a standard set of <span class="hlt">aerosol</span> models and the assumption of negligible water-leaving radiance in the near-infrared. Modern improvements have been developed to handle absorbing <span class="hlt">aerosols</span> such as urban particulates in coastal areas and transported desert dust over the open ocean, where ocean fertilization can impact biological productivity at the base of the marine food chain. Even so, imperfect knowledge of the absorbing <span class="hlt">aerosol</span> optical properties or their height distribution results in well-documented sources of error. In the UV, the problem of UV-enhanced absorption and nonsphericity of certain <span class="hlt">aerosol</span> types are amplified due to the increased Rayleigh and <span class="hlt">aerosol</span> optical depth, especially at off-nadir view angles. Multi-angle spectro-polarimetric measurements have been advocated as an additional tool to better understand and retrieve the <span class="hlt">aerosol</span> properties needed for atmospheric correction for ocean color retrievals. The central concern of the work to be described is the assessment of the effects of absorbing <span class="hlt">aerosol</span> properties on water leaving radiance measurement uncertainty by neglecting UV-enhanced absorption of carbonaceous particles and by not accounting for dust nonsphericity. In addition, we evaluate the polarimetric sensitivity of absorbing <span class="hlt">aerosol</span> properties in light of measurement uncertainties achievable for the next generation of multi-angle polarimetric <span class="hlt">imaging</span> instruments, and demonstrate advantages and disadvantages of wavelength selection in the UV/VNIR range. The phase matrices for the spherical smoke particles were calculated using a standard</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2004SPIE.5268...67H','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2004SPIE.5268...67H"><span>Handheld hyperspectral <span class="hlt">imager</span> for standoff detection of chemical and biological <span class="hlt">aerosols</span></span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Hinnrichs, Michele; Jensen, James O.; McAnally, Gerard</p> <p>2004-02-01</p> <p>Pacific Advanced Technology has developed a small hand held <span class="hlt">imaging</span> spectrometer, Sherlock, for gas leak and <span class="hlt">aerosol</span> detection and <span class="hlt">imaging</span>. The system is based on a patent technique that uses diffractive optics and <span class="hlt">image</span> processing algorithms to detect spectral information about objects in the scene of the camera (IMSS <span class="hlt">Image</span> Multi-spectral Sensing). This camera has been tested at Dugway Proving Ground and Dstl Porton Down facility looking at Chemical and Biological agent simulants. The camera has been used to investigate surfaces contaminated with chemical agent simulants. In addition to Chemical and Biological detection the camera has been used for environmental monitoring of green house gases and is currently undergoing extensive laboratory and field testing by the Gas Technology Institute, British Petroleum and Shell Oil for applications for gas leak detection and repair. The camera contains an embedded Power PC and a real time <span class="hlt">image</span> processor for performing <span class="hlt">image</span> processing algorithms to assist in the detection and identification of gas phase species in real time. In this paper we will present an over view of the technology and show how it has performed for different applications, such as gas leak detection, surface contamination, remote sensing and surveillance applications. In addition a sampling of the results form TRE field testing at Dugway in July of 2002 and Dstl at Porton Down in September of 2002 will be given.</p> </li> </ol> <div class="pull-right"> <ul class="pagination"> <li><a href="#" onclick='return showDiv("page_1");'>«</a></li> <li><a href="#" onclick='return showDiv("page_8");'>8</a></li> <li><a href="#" onclick='return showDiv("page_9");'>9</a></li> <li class="active"><span>10</span></li> <li><a href="#" onclick='return showDiv("page_11");'>11</a></li> <li><a href="#" onclick='return showDiv("page_12");'>12</a></li> <li><a href="#" onclick='return showDiv("page_25");'>»</a></li> </ul> </div> </div><!-- col-sm-12 --> </div><!-- row --> </div><!-- page_10 --> <div id="page_11" class="hiddenDiv"> <div class="row"> <div class="col-sm-12"> <div class="pull-right"> <ul class="pagination"> <li><a href="#" onclick='return showDiv("page_1");'>«</a></li> <li><a href="#" onclick='return showDiv("page_9");'>9</a></li> <li><a href="#" onclick='return showDiv("page_10");'>10</a></li> <li class="active"><span>11</span></li> <li><a href="#" onclick='return showDiv("page_12");'>12</a></li> <li><a href="#" onclick='return showDiv("page_13");'>13</a></li> <li><a href="#" onclick='return showDiv("page_25");'>»</a></li> </ul> </div> </div> </div> <div class="row"> <div class="col-sm-12"> <ol class="result-class" start="201"> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2009AGUFM.P11C1240D','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2009AGUFM.P11C1240D"><span>Characterizing Pyroxene Reaction Space in Calcium-Aluminum Rich Inclusions: Oxidation During <span class="hlt">CAI</span> Rim Formation</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Dyl, K. A.; Young, E. D.</p> <p>2009-12-01</p> <p>We define the reaction space that controls changes in pyroxene composition in <span class="hlt">CAIs</span> and Wark-Lovering (WL) rims in an oxidizing solar nebula. Ti-rich pyroxenes in <span class="hlt">CAIs</span> record a sub-solar oxygen fugacity (Ti3+/Ti4+~1.5). WL rim pyroxenes in the <span class="hlt">CAI</span> Leoville 144A have a distinctly lower oxidation state.This difference supports WL rim condensation in an environment of increasing O2(g) and Mg(g) (Simon et al. 2005). We used the following phase components to identify four linearly independent reactions (Thompson 1982): diopside, CaTs (Al2Mg-1Si-1), T3 (Ti3+AlMg-1Si-1), T4 (Ti4+Al2Mg-1Si-2), En (MgCa-1), perovskite, O(g), Mg(g), SiO(g), and Ca(g). Compositional variation in this system is dominated by two reactions. The first is oxidation of Ti3+ via reaction with O and Mg in the gas phase: 1.5 O(g) + Mg(g) → ¼ Di + [Ti4+Mg3/4Ti3+-1Ca-1/4Si-1/2] (1). Pyroxene is produced and En is introduced. The second reaction (2) is perovskite formation. It is observed in the WL rim of Leoville 144A, and experiments confirm that an elevated Ti component converts pyroxene to perovskite(Gupta et al. 1973). MgCa-1 is the third linearly independent reaction (3). They combine to give: ½ Di + x Ca(g)→ x Mg(g)+ Pv + [Mg1/2-xSiTi4+-1Ca-1/2+x](2,3). Unlike (1), pyroxene is consumed in this reaction. The parameter x defines the extent of Mg-Ca exchange. When x > 0.5, WL rim formation occurs in an environment where Mg is volatile and Ca condenses. The reaction space defined by reactions (1) and (2,3) describes the transition from <span class="hlt">CAI</span> interior to WL rims. WL rim pyroxene Ti contents, [CaTs], and Ca < 1 pfu are all explained in this space. The fourth linearly independent reaction is SiO(g):1/8 Di + ¼ Mg(g)→ ¾ SiO(g) + [Mg3/8Ca1/8Ti4+Ti3+-1Si-1/2](4). Silica reduction forms Ti4+, releasing SiO(g). (4) does not describe the oxidation of Ti3+ in WL rim pyroxene, but (1) - (4) results in En formation directly from the gas phase. This may explain WL rim analyses that have Si contents in excess</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.osti.gov/pages/biblio/1440310-co-bridged-cluster-intermediates-catalytic-mechanism-fefe-hydrogenase-cai','SCIGOV-DOEP'); return false;" href="https://www.osti.gov/pages/biblio/1440310-co-bridged-cluster-intermediates-catalytic-mechanism-fefe-hydrogenase-cai"><span>CO-Bridged H-Cluster Intermediates in the Catalytic Mechanism of [FeFe]-Hydrogenase <span class="hlt">CaI</span></span></a></p> <p><a target="_blank" href="http://www.osti.gov/pages">DOE PAGES</a></p> <p>Ratzloff, Michael W.; Artz, Jacob H.; Mulder, David W.; ...</p> <p>2018-05-23</p> <p>The [FeFe]-hydrogenases ([FeFe] H 2ases) catalyze reversible H 2 activation at the H-cluster, which is composed of a [4Fe-4S] H subsite linked by a cysteine thiolate to a bridged, organometallic [2Fe-2S] ([2Fe] H) subsite. Profoundly different geometric models of the H-cluster redox states that orchestrate the electron/proton transfer steps of H 2 bond activation have been proposed. We have examined this question in the [FeFe] H 2ase I from Clostridium acetobutylicum (<span class="hlt">CaI</span>) by Fourier-transform infrared (FTIR) spectroscopy with temperature annealing and H/D isotope exchange to identify the relevant redox states and define catalytic transitions. One-electron reduction of H ox ledmore » to formation of H redH + ([4Fe-4S] H 2+-Fe I-Fe I) and H red' ([4Fe-4S] H 1+-Fe II-Fe I), with both states characterized by low frequency μ-CO IR modes consistent with a fully bridged [2Fe] H. Similar μ-CO IR modes were also identified for H redH + of the [FeFe] H 2ase from Chlamydomonas reinhardtii (CrHydA1). The <span class="hlt">CaI</span> proton-transfer variant C298S showed enrichment of an H/D isotope-sensitive μ-CO mode, a component of the hydride bound H-cluster IR signal, H hyd. Equilibrating <span class="hlt">CaI</span> with increasing amounts of NaDT, and probed at cryogenic temperatures, showed H redH + was converted to H hyd. Over an increasing temperature range from 10 to 260 K catalytic turnover led to loss of Hhyd and appearance of H ox, consistent with enzymatic turnover and H 2 formation. The results show for <span class="hlt">CaI</span> that the μ-CO of [2Fe] H remains bridging for all of the 'H red' states and that H redH + is on pathway to H hyd and H 2 evolution in the catalytic mechanism. Here, this provides a blueprint for designing small molecule catalytic analogs« less</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.osti.gov/biblio/1440310-co-bridged-cluster-intermediates-catalytic-mechanism-fefe-hydrogenase-cai','SCIGOV-STC'); return false;" href="https://www.osti.gov/biblio/1440310-co-bridged-cluster-intermediates-catalytic-mechanism-fefe-hydrogenase-cai"><span>CO-Bridged H-Cluster Intermediates in the Catalytic Mechanism of [FeFe]-Hydrogenase <span class="hlt">CaI</span></span></a></p> <p><a target="_blank" href="http://www.osti.gov/search">DOE Office of Scientific and Technical Information (OSTI.GOV)</a></p> <p>Ratzloff, Michael W.; Artz, Jacob H.; Mulder, David W.</p> <p></p> <p>The [FeFe]-hydrogenases ([FeFe] H 2ases) catalyze reversible H 2 activation at the H-cluster, which is composed of a [4Fe-4S] H subsite linked by a cysteine thiolate to a bridged, organometallic [2Fe-2S] ([2Fe] H) subsite. Profoundly different geometric models of the H-cluster redox states that orchestrate the electron/proton transfer steps of H 2 bond activation have been proposed. We have examined this question in the [FeFe] H 2ase I from Clostridium acetobutylicum (<span class="hlt">CaI</span>) by Fourier-transform infrared (FTIR) spectroscopy with temperature annealing and H/D isotope exchange to identify the relevant redox states and define catalytic transitions. One-electron reduction of H ox ledmore » to formation of H redH + ([4Fe-4S] H 2+-Fe I-Fe I) and H red' ([4Fe-4S] H 1+-Fe II-Fe I), with both states characterized by low frequency μ-CO IR modes consistent with a fully bridged [2Fe] H. Similar μ-CO IR modes were also identified for H redH + of the [FeFe] H 2ase from Chlamydomonas reinhardtii (CrHydA1). The <span class="hlt">CaI</span> proton-transfer variant C298S showed enrichment of an H/D isotope-sensitive μ-CO mode, a component of the hydride bound H-cluster IR signal, H hyd. Equilibrating <span class="hlt">CaI</span> with increasing amounts of NaDT, and probed at cryogenic temperatures, showed H redH + was converted to H hyd. Over an increasing temperature range from 10 to 260 K catalytic turnover led to loss of Hhyd and appearance of H ox, consistent with enzymatic turnover and H 2 formation. The results show for <span class="hlt">CaI</span> that the μ-CO of [2Fe] H remains bridging for all of the 'H red' states and that H redH + is on pathway to H hyd and H 2 evolution in the catalytic mechanism. Here, this provides a blueprint for designing small molecule catalytic analogs« less</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.ncbi.nlm.nih.gov/pubmed/29792026','PUBMED'); return false;" href="https://www.ncbi.nlm.nih.gov/pubmed/29792026"><span>CO-Bridged H-Cluster Intermediates in the Catalytic Mechanism of [FeFe]-Hydrogenase <span class="hlt">CaI</span>.</span></a></p> <p><a target="_blank" href="https://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pubmed">PubMed</a></p> <p>Ratzloff, Michael W; Artz, Jacob H; Mulder, David W; Collins, Reuben T; Furtak, Thomas E; King, Paul W</p> <p>2018-06-20</p> <p>The [FeFe]-hydrogenases ([FeFe] H 2 ases) catalyze reversible H 2 activation at the H-cluster, which is composed of a [4Fe-4S] H subsite linked by a cysteine thiolate to a bridged, organometallic [2Fe-2S] ([2Fe] H ) subsite. Profoundly different geometric models of the H-cluster redox states that orchestrate the electron/proton transfer steps of H 2 bond activation have been proposed. We have examined this question in the [FeFe] H 2 ase I from Clostridium acetobutylicum (<span class="hlt">CaI</span>) by Fourier-transform infrared (FTIR) spectroscopy with temperature annealing and H/D isotope exchange to identify the relevant redox states and define catalytic transitions. One-electron reduction of H ox led to formation of H red H + ([4Fe-4S] H 2+ -Fe I -Fe I ) and H red ' ([4Fe-4S] H 1+ -Fe II -Fe I ), with both states characterized by low frequency μ-CO IR modes consistent with a fully bridged [2Fe] H . Similar μ-CO IR modes were also identified for H red H + of the [FeFe] H 2 ase from Chlamydomonas reinhardtii (CrHydA1). The <span class="hlt">CaI</span> proton-transfer variant C298S showed enrichment of an H/D isotope-sensitive μ-CO mode, a component of the hydride bound H-cluster IR signal, H hyd . Equilibrating <span class="hlt">CaI</span> with increasing amounts of NaDT, and probed at cryogenic temperatures, showed H red H + was converted to H hyd . Over an increasing temperature range from 10 to 260 K catalytic turnover led to loss of H hyd and appearance of H ox , consistent with enzymatic turnover and H 2 formation. The results show for <span class="hlt">CaI</span> that the μ-CO of [2Fe] H remains bridging for all of the "H red " states and that H red H + is on pathway to H hyd and H 2 evolution in the catalytic mechanism. These results provide a blueprint for designing small molecule catalytic analogs.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://ntrs.nasa.gov/search.jsp?R=20040081166&hterms=images+MODIS&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D10%26Ntt%3Dimages%2BMODIS','NASA-TRS'); return false;" href="https://ntrs.nasa.gov/search.jsp?R=20040081166&hterms=images+MODIS&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D10%26Ntt%3Dimages%2BMODIS"><span>Synergetic use of <span class="hlt">Aerosol</span> Robotic Network (AERONET) and Moderate <span class="hlt">Image</span> Spectrometer (MODIS)</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Kaufman, Y.</p> <p>2004-01-01</p> <p>I shall describe several distinct modes in which AERONET data are used in conjunction with MODIS data to evaluate the global <span class="hlt">aerosol</span> system and its impact on climate. These includes: 1) Evaluation of the <span class="hlt">aerosol</span> diurnal cycle not available from MODIS, and the relationship between the <span class="hlt">aerosol</span> properties derived from MODIS and the daily average of these properties; 2) Climatology of the <span class="hlt">aerosol</span> size distribution and single scattering albedo. The climatology is used to formulate the assumptions used in the MODIS look up tables used in the inversion of MODIS data; 3) Measurement of the <span class="hlt">aerosol</span> effect on irradiation of the surface, this is used in conjunction with the MODIS evaluation of the <span class="hlt">aerosol</span> effect at the TOA; and 4) Assessment of the <span class="hlt">aerosol</span> baseline on top off which the satellite data are used to find the amount of dust or anthropogenic <span class="hlt">aerosol</span>.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2006IJCEM...7...41C','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2006IJCEM...7...41C"><span>Numerical Investigation Into Effect of Fuel Injection Timing on <span class="hlt">CAI</span>/HCCI Combustion in a Four-Stroke GDI Engine</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Cao, Li; Zhao, Hua; Jiang, Xi; Kalian, Navin</p> <p>2006-02-01</p> <p>The Controlled Auto-Ignition (<span class="hlt">CAI</span>) combustion, also known as Homogeneous Charge Compression Ignition (HCCI), was achieved by trapping residuals with early exhaust valve closure in conjunction with direct injection. Multi-cycle 3D engine simulations have been carried out for parametric study on four different injection timings in order to better understand the effects of injection timings on in-cylinder mixing and <span class="hlt">CAI</span> combustion. The full engine cycle simulation including complete gas exchange and combustion processes was carried out over several cycles in order to obtain the stable cycle for analysis. The combustion models used in the present study are the Shell auto-ignition model and the characteristic-time combustion model, which were modified to take the high level of EGR into consideration. A liquid sheet breakup spray model was used for the droplet breakup processes. The analyses show that the injection timing plays an important role in affecting the in-cylinder air/fuel mixing and mixture temperature, which in turn affects the <span class="hlt">CAI</span> combustion and engine performance.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://ntrs.nasa.gov/search.jsp?R=20110007295&hterms=space+mapping&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D10%26Ntt%3Dspace%2Bmapping','NASA-TRS'); return false;" href="https://ntrs.nasa.gov/search.jsp?R=20110007295&hterms=space+mapping&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D10%26Ntt%3Dspace%2Bmapping"><span>Desert Dust <span class="hlt">Aerosol</span> Air Mass Mapping in the Western Sahara, Using Particle Properties Derived from Space-Based Multi-Angle <span class="hlt">Imaging</span></span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Kahn, Ralph; Petzold, Andreas; Wendisch, Manfred; Bierwirth, Eike; Dinter, Tilman; Esselborn, Michael; Fiebig, Marcus; Heese, Birgit; Knippertz, Peter; Mueller, Detlef; <a style="text-decoration: none; " href="javascript:void(0); " onClick="displayelement('author_20110007295'); toggleEditAbsImage('author_20110007295_show'); toggleEditAbsImage('author_20110007295_hide'); "> <img style="display:inline; width:12px; height:12px; " src="images/arrow-up.gif" width="12" height="12" border="0" alt="hide" id="author_20110007295_show"> <img style="width:12px; height:12px; display:none; " src="images/arrow-down.gif" width="12" height="12" border="0" alt="hide" id="author_20110007295_hide"></p> <p>2008-01-01</p> <p>Coincident observations made over the Moroccan desert during the Sahara mineral dust experiment (SAMUM) 2006 field campaign are used both to validate <span class="hlt">aerosol</span> amount and type retrieved from multi-angle <span class="hlt">imaging</span> spectroradiometer (MISR) observations, and to place the suborbital <span class="hlt">aerosol</span> measurements into the satellite s larger regional context. On three moderately dusty days during which coincident observations were made, MISR mid-visible <span class="hlt">aerosol</span> optical thickness (AOT) agrees with field measurements point-by-point to within 0.05 0.1. This is about as well as can be expected given spatial sampling differences; the space-based observations capture AOT trends and variability over an extended region. The field data also validate MISR s ability to distinguish and to map <span class="hlt">aerosol</span> air masses, from the combination of retrieved constraints on particle size, shape and single-scattering albedo. For the three study days, the satellite observations (1) highlight regional gradients in the mix of dust and background spherical particles, (2) identify a dust plume most likely part of a density flow and (3) show an <span class="hlt">aerosol</span> air mass containing a higher proportion of small, spherical particles than the surroundings, that appears to be <span class="hlt">aerosol</span> pollution transported from several thousand kilometres away.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://eric.ed.gov/?q=software+AND+component+AND+documentation&pg=2&id=ED070262','ERIC'); return false;" href="https://eric.ed.gov/?q=software+AND+component+AND+documentation&pg=2&id=ED070262"><span>Everything You Always Wanted to Know About <span class="hlt">CAI</span> But Were Afraid To Ask.</span></a></p> <p><a target="_blank" href="http://www.eric.ed.gov/ERICWebPortal/search/extended.jsp?_pageLabel=advanced">ERIC Educational Resources Information Center</a></p> <p>Luskin, Bernard J.; And Others</p> <p></p> <p>A comprehensive summary of significant developments related to the integration of the computer in all levels of instruction, this book identifies, classifies, and examines obstacles to computer-assisted instruction (<span class="hlt">CAI</span>), their scope and possible resolutions. Some 75 experts were surveyed and their opinions statistically analyzed in regard to 23…</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2009AMT.....2..679T','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2009AMT.....2..679T"><span>The GRAPE <span class="hlt">aerosol</span> retrieval algorithm</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Thomas, G. E.; Poulsen, C. A.; Sayer, A. M.; Marsh, S. H.; Dean, S. M.; Carboni, E.; Siddans, R.; Grainger, R. G.; Lawrence, B. N.</p> <p>2009-11-01</p> <p>The <span class="hlt">aerosol</span> component of the Oxford-Rutherford <span class="hlt">Aerosol</span> and Cloud (ORAC) combined cloud and <span class="hlt">aerosol</span> retrieval scheme is described and the theoretical performance of the algorithm is analysed. ORAC is an optimal estimation retrieval scheme for deriving cloud and <span class="hlt">aerosol</span> properties from measurements made by <span class="hlt">imaging</span> satellite radiometers and, when applied to cloud free radiances, provides estimates of <span class="hlt">aerosol</span> optical depth at a wavelength of 550 nm, <span class="hlt">aerosol</span> effective radius and surface reflectance at 550 nm. The <span class="hlt">aerosol</span> retrieval component of ORAC has several incarnations - this paper addresses the version which operates in conjunction with the cloud retrieval component of ORAC (described by Watts et al., 1998), as applied in producing the Global Retrieval of ATSR Cloud Parameters and Evaluation (GRAPE) data-set. The algorithm is described in detail and its performance examined. This includes a discussion of errors resulting from the formulation of the forward model, sensitivity of the retrieval to the measurements and a priori constraints, and errors resulting from assumptions made about the atmospheric/surface state.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2009AMTD....2..981T','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2009AMTD....2..981T"><span>The GRAPE <span class="hlt">aerosol</span> retrieval algorithm</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Thomas, G. E.; Poulsen, C. A.; Sayer, A. M.; Marsh, S. H.; Dean, S. M.; Carboni, E.; Siddans, R.; Grainger, R. G.; Lawrence, B. N.</p> <p>2009-04-01</p> <p>The <span class="hlt">aerosol</span> component of the Oxford-Rutherford <span class="hlt">Aerosol</span> and Cloud (ORAC) combined cloud and <span class="hlt">aerosol</span> retrieval scheme is described and the theoretical performance of the algorithm is analysed. ORAC is an optimal estimation retrieval scheme for deriving cloud and <span class="hlt">aerosol</span> properties from measurements made by <span class="hlt">imaging</span> satellite radiometers and, when applied to cloud free radiances, provides estimates of <span class="hlt">aerosol</span> optical depth at a wavelength of 550 nm, <span class="hlt">aerosol</span> effective radius and surface reflectance at 550 nm. The <span class="hlt">aerosol</span> retrieval component of ORAC has several incarnations - this paper addresses the version which operates in conjunction with the cloud retrieval component of ORAC (described by Watts et al., 1998), as applied in producing the Global Retrieval of ATSR Cloud Parameters and Evaluation (GRAPE) data-set. The algorithm is described in detail and its performance examined. This includes a discussion of errors resulting from the formulation of the forward model, sensitivity of the retrieval to the measurements and a priori constraints, and errors resulting from assumptions made about the atmospheric/surface state.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2012epsc.conf..259S','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2012epsc.conf..259S"><span>Optical properties of the Martian <span class="hlt">aerosols</span> as derived from <span class="hlt">Imager</span> for Mars Pathfinder midday sky brightness data</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Shalygina, O. S.; Markiewicz, W. J.; Hviid, S. F.</p> <p>2012-09-01</p> <p>It is well known that the <span class="hlt">aerosol</span> play a major role in the energy budget of the Martian atmosphere. The importance of the <span class="hlt">aerosols</span> for the radiative loading of the atmosphere has hence, direct impact on the Martian present weather and its seasonal cycle as well as consequences for its long term climate. Very accurate models of the sky brightness are required to separate the atmospheric illumination from the spectrum of the Martian surface, and hence to understand the mineralogy of the surface rocks and soil. Such accurate models are only possible if the optical properties of the Martian <span class="hlt">aerosols</span> are known. In this work we analyze the <span class="hlt">images</span> of the brightness of the Martian sky at midday acquired from the surface of the Mars during the Mars Pathfinder mission. The <span class="hlt">Imager</span> for Mars Pathfinder (IMP) obtained data in filters centered at 443.6, 481.0, 670.8, 896.1 and 965.3 nm. Useful data sets were returned on sols 27, 40, 56, 65, 68, 74 and 82. Although the coverage in scattering angles of this sequence is limited to about 100°, having the Sun near zenith minimizes multiple scattering. This property should help in accuracy of constraining the size distribution and material properties. The shape of the particles can be expected to be less well constrained, as scattering events at angles around 150° are only present through multiple scattering. Data from sol 56 (Figure 1) were fitted with multiple scattering radiative transfer calculations to extract the size distribution, optical properties, and shape of the <span class="hlt">aerosols</span> suspended in the atmosphere [1].</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://www.dtic.mil/docs/citations/ADA566007','DTIC-ST'); return false;" href="http://www.dtic.mil/docs/citations/ADA566007"><span>Atmospheric Polarization <span class="hlt">Imaging</span> with Variable <span class="hlt">Aerosols</span> and Clouds</span></a></p> <p><a target="_blank" href="http://www.dtic.mil/">DTIC Science & Technology</a></p> <p></p> <p>2010-12-10</p> <p><span class="hlt">aerosol</span> sensors to study the effect of variable clouds and <span class="hlt">aerosols</span> on skylight polarization in the 450 – 780 nm spectral region. Near the end the... skylight (either below the cloud or in a cloud-free portion of the sky), but that they often do not alter the angle of polarization beneath the clouds...relationship also was developed for an initial model of how increasing surface albedo reduces the overhead skylight polarization. 15. SUBJECT</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://pubs.er.usgs.gov/publication/70023467','USGSPUBS'); return false;" href="https://pubs.er.usgs.gov/publication/70023467"><span>Thermal maturity patterns in New York State using <span class="hlt">CAI</span> and %Ro</span></a></p> <p><a target="_blank" href="http://pubs.er.usgs.gov/pubs/index.jsp?view=adv">USGS Publications Warehouse</a></p> <p>Weary, D.J.; Ryder, R.T.; Nyahay, R.E.</p> <p>2001-01-01</p> <p>New conodont alteration index (<span class="hlt">CAI</span>) and vitrinite reflectance (%Ro) data collected from drill holes in the Appalachian basin of New York State allow refinement of thermal maturity maps for Ordovician and Devonian rocks. <span class="hlt">CAI</span> isotherms on the new maps show a pattern that approximates that published by Harris et al. (1978) in eastern and western New York, but it differs in central New York, where the isotherms are shifted markedly westward by more than 100 km and are more tightly grouped. This close grouping of isograds reflects a steeper thermal gradient than previously noted by Harris et al. (1978) and agrees closely with the abrupt west-to-east increase in thermal maturity across New York noted by Johnsson (1986). These data show, in concordance with previous studies, that thermal maturity levels in these rocks are higher than can be explained by simple burial heating beneath the present thickness of overburden. The Ordovician and Devonian rocks of the Appalachian Basin in New York must have been buried by very thick post-Devonian sediments (4-6 km suggested by Sarwar and Friedman 1995) or were exposed to a higher-than-normal geothermal flux caused by crustal extension, or a combination of the two.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://www.dtic.mil/docs/citations/ADA139278','DTIC-ST'); return false;" href="http://www.dtic.mil/docs/citations/ADA139278"><span>A <span class="hlt">CAI</span> (Computer-Assisted Instruction) Course on Constructing PLANIT lessons: Development, Content, and Evaluation</span></a></p> <p><a target="_blank" href="http://www.dtic.mil/">DTIC Science & Technology</a></p> <p></p> <p>1980-06-01</p> <p>courseware package on how to program lessons for an automated system. Since PLANIT (Programming Language for Interactive Teaching) is the student/author...assisted instruction (<span class="hlt">CAI</span>), how to program PLANIT lessons, and to evaluate the effectiveness of the package for select Army users. The resultant courseware</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://www.dtic.mil/docs/citations/ADA563870','DTIC-ST'); return false;" href="http://www.dtic.mil/docs/citations/ADA563870"><span>Atmospheric Polarization <span class="hlt">Imaging</span> with Variable <span class="hlt">Aerosols</span> and Clouds</span></a></p> <p><a target="_blank" href="http://www.dtic.mil/">DTIC Science & Technology</a></p> <p></p> <p>2010-12-10</p> <p>based <span class="hlt">aerosol</span> sensors to study the effect of variable clouds and <span class="hlt">aerosols</span> on skylight polarization in the 450 – 780 nm spectral region. Near the end the...of skylight (either below the cloud or in a cloud-free portion of the sky), but that they often do not alter the angle of polarization beneath the...polarization. A relationship also was developed for an initial model of how increasing surface albedo reduces the overhead skylight polarization. 15</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2016AGUFM.A11B0023M','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2016AGUFM.A11B0023M"><span>Development of an <span class="hlt">aerosol</span> assimilation/forecasting system with Himawari-8 <span class="hlt">aerosol</span> products</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Maki, T.; Yumimoto, K.; Tanaka, T. Y.; Yoshida, M.; Kikuchi, M.; Nagao, T. M.; Murakami, H.; Ogi, A.; Sekiyama, T. T.</p> <p>2016-12-01</p> <p>A new generation geostationary meteorological satellite (GMS), Himawari-8, was launched on 7 October 2014 and became operational on 7 July 2015. Himawari-8 is equipped with more advanced multispectral <span class="hlt">imager</span> (Advanced Himawari <span class="hlt">Imager</span>; AHI) ahead of other planned GMSs (e.g., GEOS-R). The AHI has 16 observational bands including three visible lights (i.e. RGB) with high spatial (0.5-2 km) and temporal (every 10 minutes full-disk <span class="hlt">images</span>) resolutions, and provides about 50 times more data than previous GMSs. It is attractive characteristics for <span class="hlt">aerosol</span> study that the visible and near-infrared observational bands allow us to obtain full-disk maps of <span class="hlt">aerosol</span> optical properties (i.e., <span class="hlt">aerosol</span> optical thickness (AOT) and ångström exponent) with unprecedented temporal resolution. Meteorological Research Institute (MRI)/JMA and Japan Aerospace Exploration Agency (JAXA) have been developing an <span class="hlt">aerosol</span> assimilation/forecasting system with a global <span class="hlt">aerosol</span> transport model (MASINGAR mk-2), 2 dimensional variational (2D-Var) method, and the Himawari-8 AOTs. Forecasting results are quantitatively validated by AOTs measured by AERONET and PM2.5 concentrations obtained by in-situ stations. Figure 1 shows model-predicted and satellite-observed AOTs during the 2016 Siberian wildfire. Upper and lower panels exhibit maps of AOT at analysis time (0000 UTC on May 18, 2016) and 27-hour forecast time (03 UTC on May 19, 2016), respectively. The 27-hour forecasted AOT starting with the analyzed initial condition (Figure 1f) successfully predicts heavy smokes covering the northern part of Japan, which forecast without assimilation (Figure 1e) failed to reproduces. Figure 1: Horizontal distribution of observed and forecasted AOTs at 0000 UTC 18 May, 2016 (analysis time; upper panels) and 0300 UTC 19 May, 2016 (18-h forecast from the analysis time; lower panel). (a, d) observed AOT from Himawari-8, (b, e) forecasted AOT without assimilation, and (c, f) forecast AOT with assimilation.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://files.eric.ed.gov/fulltext/ED503459.pdf','ERIC'); return false;" href="http://files.eric.ed.gov/fulltext/ED503459.pdf"><span>A Comparative Study to Evaluate the Effectiveness of Computer Assisted Instruction (<span class="hlt">CAI</span>) versus Class Room Lecture (RL) for Computer Science at ICS Level</span></a></p> <p><a target="_blank" href="http://www.eric.ed.gov/ERICWebPortal/search/extended.jsp?_pageLabel=advanced">ERIC Educational Resources Information Center</a></p> <p>Kausar, Tayyaba; Choudhry, Bushra Naoreen; Gujjar, Aijaz Ahmed</p> <p>2008-01-01</p> <p>This study was aimed to evaluate the effectiveness of <span class="hlt">CAI</span> vs. classroom lecture for computer science at ICS level. The objectives were to compare the learning effects of two groups with class room lecture and computer assisted instruction studying the same curriculum and the effects of <span class="hlt">CAI</span> and CRL in terms of cognitive development. Hypothesis of…</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://files.eric.ed.gov/fulltext/EJ1102933.pdf','ERIC'); return false;" href="http://files.eric.ed.gov/fulltext/EJ1102933.pdf"><span>A Comparative Study to Evaluate the Effectiveness of Computer Assisted Instruction (<span class="hlt">CAI</span>) versus Class Room Lecture (CRL) for Computer Science at ICS Level</span></a></p> <p><a target="_blank" href="http://www.eric.ed.gov/ERICWebPortal/search/extended.jsp?_pageLabel=advanced">ERIC Educational Resources Information Center</a></p> <p>Kausar, Tayyaba; Choudhry, Bushra Naoreen; Gujjar, Aijaz Ahmed</p> <p>2008-01-01</p> <p>This study was aimed to evaluate the effectiveness of <span class="hlt">CAI</span> vs. classroom lecture for computer science at ICS level. The objectives were to compare the learning effects of two groups with class room lecture and computer assisted instruction studying the same curriculum and the effects of <span class="hlt">CAI</span> and CRL in terms of cognitive development. Hypothesis of…</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20120000825','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20120000825"><span>In Situ <span class="hlt">Aerosol</span> Detector</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Vakhtin, Andrei; Krasnoperov, Lev</p> <p>2011-01-01</p> <p>An affordable technology designed to facilitate extensive global atmospheric <span class="hlt">aerosol</span> measurements has been developed. This lightweight instrument is compatible with newly developed platforms such as tethered balloons, blimps, kites, and even disposable instruments such as dropsondes. This technology is based on detection of light scattered by <span class="hlt">aerosol</span> particles where an optical layout is used to enhance the performance of the laboratory prototype instrument, which allows detection of smaller <span class="hlt">aerosol</span> particles and improves the accuracy of <span class="hlt">aerosol</span> particle size measurement. It has been determined that using focused illumination geometry without any apertures is advantageous over using the originally proposed collimated beam/slit geometry (that is supposed to produce uniform illumination over the beam cross-section). The illumination source is used more efficiently, which allows detection of smaller <span class="hlt">aerosol</span> particles. Second, the obtained integral scattered light intensity measured for the particle can be corrected for the beam intensity profile inhomogeneity based on the measured beam intensity profile and measured particle location. The particle location (coordinates) in the illuminated sample volume is determined based on the information contained in the <span class="hlt">image</span> frame. The procedure considerably improves the accuracy of determination of the <span class="hlt">aerosol</span> particle size.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017AGUFM.A42A..07X','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017AGUFM.A42A..07X"><span>Retrieving Smoke <span class="hlt">Aerosol</span> Height from DSCOVR/EPIC</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Xu, X.; Wang, J.; Wang, Y.</p> <p>2017-12-01</p> <p>Unlike industrial pollutant particles that are often confined within the planetary boundary layer, smoke from forest and agriculture fires can inject massive carbonaceous <span class="hlt">aerosols</span> into the upper troposphere due to the intense pyro-convection. Sensitivity of weather and climate to absorbing carbonaceous <span class="hlt">aerosols</span> is regulated by the altitude of those <span class="hlt">aerosol</span> layers. However, <span class="hlt">aerosol</span> height information remains limited from passive satellite sensors. Here we present an algorithm to estimate smoke <span class="hlt">aerosol</span> height from radiances in the oxygen A and B bands measured by the Earth Polychromatic <span class="hlt">Imaging</span> Camera (EPIC) from the Deep Space Climate Observatory (DSCOVR). With a suit of case studies and validation efforts, we demonstrate that smoke <span class="hlt">aerosol</span> height can be well retrieved over both ocean and land surfaces multiple times daily.</p> </li> </ol> <div class="pull-right"> <ul class="pagination"> <li><a href="#" onclick='return showDiv("page_1");'>«</a></li> <li><a href="#" onclick='return showDiv("page_9");'>9</a></li> <li><a href="#" onclick='return showDiv("page_10");'>10</a></li> <li class="active"><span>11</span></li> <li><a href="#" onclick='return showDiv("page_12");'>12</a></li> <li><a href="#" onclick='return showDiv("page_13");'>13</a></li> <li><a href="#" onclick='return showDiv("page_25");'>»</a></li> </ul> </div> </div><!-- col-sm-12 --> </div><!-- row --> </div><!-- page_11 --> <div id="page_12" class="hiddenDiv"> <div class="row"> <div class="col-sm-12"> <div class="pull-right"> <ul class="pagination"> <li><a href="#" onclick='return showDiv("page_1");'>«</a></li> <li><a href="#" onclick='return showDiv("page_10");'>10</a></li> <li><a href="#" onclick='return showDiv("page_11");'>11</a></li> <li class="active"><span>12</span></li> <li><a href="#" onclick='return showDiv("page_13");'>13</a></li> <li><a href="#" onclick='return showDiv("page_14");'>14</a></li> <li><a href="#" onclick='return showDiv("page_25");'>»</a></li> </ul> </div> </div> </div> <div class="row"> <div class="col-sm-12"> <ol class="result-class" start="221"> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.fs.usda.gov/treesearch/pubs/32778','TREESEARCH'); return false;" href="https://www.fs.usda.gov/treesearch/pubs/32778"><span>Validation and understanding of Moderate Resolution <span class="hlt">Imaging</span> Spectroradiometer <span class="hlt">aerosol</span> products (C5) using ground-based measurements from the handheld Sun photometer network in China</span></a></p> <p><a target="_blank" href="http://www.fs.usda.gov/treesearch/">Treesearch</a></p> <p>Zhanqing Li; Feng Niu; Kwon-Ho Lee; Jinyuan Xin; Wei Min Hao; Bryce L. Nordgren; Yuesi Wang; Pucai Wang</p> <p>2007-01-01</p> <p>The Moderate Resolution <span class="hlt">Imaging</span> Spectroradiometer (MODIS) currently provides the most extensive <span class="hlt">aerosol</span> retrievals on a global basis, but validation is limited to a small number of ground stations. This study presents a comprehensive evaluation of Collection 4 and 5 MODIS <span class="hlt">aerosol</span> products using ground measurements from the Chinese Sun Hazemeter Network (CSHNET). The...</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.ncbi.nlm.nih.gov/pubmed/29310275','PUBMED'); return false;" href="https://www.ncbi.nlm.nih.gov/pubmed/29310275"><span><span class="hlt">CaI</span> and SrI molecules for iodine determination by high-resolution continuum source graphite furnace molecular absorption spectrometry: Greener molecules for practical application.</span></a></p> <p><a target="_blank" href="https://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pubmed">PubMed</a></p> <p>Zanatta, Melina Borges Teixeira; Nakadi, Flávio Venâncio; da Veiga, Márcia Andreia Mesquita Silva</p> <p>2018-03-01</p> <p>A new method to determine iodine in drug samples by high-resolution continuum source graphite furnace molecular absorption spectrometry (HR-CS GF MAS) has been developed. The method measures the molecular absorption of a diatomic molecule, <span class="hlt">CaI</span> or SrI (less toxic molecule-forming reagents), at 638.904 or 677.692nm, respectively, and uses a mixture containing 5μg of Pd and 0.5μg of Mg as chemical modifier. The method employs pyrolysis temperatures of 1000 and 800°C and vaporization temperatures of 2300 and 2400°C for <span class="hlt">CaI</span> and SrI, respectively. The optimized amounts of Ca and Sr as molecule-forming reagents are 100 and 150µg, respectively. On the basis of interference studies, even small chlorine concentrations reduce <span class="hlt">CaI</span> and SrI absorbance significantly. The developed method was used to analyze different commercial drug samples, namely thyroid hormone pills with three different iodine amounts (15.88, 31.77, and 47.66µg) and one liquid drug with 1% m v -1 active iodine in their compositions. The results agreed with the values informed by the manufacturers (95% confidence level) regardless of whether <span class="hlt">CaI</span> or SrI was determined. Therefore, the developed method is useful for iodine determination on the basis of <span class="hlt">CaI</span> or SrI molecular absorption. Copyright © 2017 Elsevier B.V. All rights reserved.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://eric.ed.gov/?q=artificial+AND+intelligence+AND+business&pg=3&id=EJ613257','ERIC'); return false;" href="https://eric.ed.gov/?q=artificial+AND+intelligence+AND+business&pg=3&id=EJ613257"><span>A Cross-National <span class="hlt">CAI</span> Tool To Support Learning Operations Decision-Making and Market Analysis.</span></a></p> <p><a target="_blank" href="http://www.eric.ed.gov/ERICWebPortal/search/extended.jsp?_pageLabel=advanced">ERIC Educational Resources Information Center</a></p> <p>Mockler, Robert J.; Afanasiev, Mikhail Y.; Dologite, Dorothy G.</p> <p>1999-01-01</p> <p>Describes bicultural (United States and Russia) development of a computer-aided instruction (<span class="hlt">CAI</span>) tool to learn management decision-making using information systems technologies. The program has been used with undergraduate and graduate students in both countries; it integrates free and controlled market concepts and combines traditional computer…</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2012APS..MART30005W','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2012APS..MART30005W"><span>Quantum Computational Universality of the 2D <span class="hlt">Cai</span>-Miyake-D"ur-Briegel Quantum State</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Wei, Tzu-Chieh; Raussendorf, Robert; Kwek, Leong Chuan</p> <p>2012-02-01</p> <p>Universal quantum computation can be achieved by simply performing single-qubit measurements on a highly entangled resource state, such as cluster states. <span class="hlt">Cai</span>, Miyake, D"ur, and Briegel recently constructed a ground state of a two-dimensional quantum magnet by combining multiple Affleck-Kennedy-Lieb-Tasaki quasichains of mixed spin-3/2 and spin-1/2 entities and by mapping pairs of neighboring spin-1/2 particles to individual spin-3/2 particles [Phys. Rev. A 82, 052309 (2010)]. They showed that this state enables universal quantum computation by constructing single- and two-qubit universal gates. Here, we give an alternative understanding of how this state gives rise to universal measurement-based quantum computation: by local operations, each quasichain can be converted to a one-dimensional cluster state and entangling gates between two neighboring logical qubits can be implemented by single-spin measurements. Furthermore, a two-dimensional cluster state can be distilled from the <span class="hlt">Cai</span>-Miyake-D"ur-Briegel state.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://images.nasa.gov/#/details-PIA03428.html','SCIGOVIMAGE-NASA'); return false;" href="https://images.nasa.gov/#/details-PIA03428.html"><span><span class="hlt">Aerosols</span> over India</span></a></p> <p><a target="_blank" href="https://images.nasa.gov/">NASA Image and Video Library</a></p> <p></p> <p>2001-10-24</p> <p>Large abundances of <span class="hlt">aerosols</span>, or airborne particulates, over the low-lying plains of northeastern India appear in dramatic contrast with the relatively pristine air of the high-altitude Tibetan Plateau in this <span class="hlt">image</span> from NASA Terra satellite acquired on</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20160002651','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20160002651"><span>Calcium and Titanium Isotope Fractionation in <span class="hlt">CAIS</span>: Tracers of Condensation and Inheritance in the Early Solar Protoplanetary Disk</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Simon, J. I.; Jordan, M. K.; Tappa, M. J.; Kohl, I. E.; Young, E. D.</p> <p>2016-01-01</p> <p>The chemical and isotopic compositions of calcium-aluminum-rich inclusions (<span class="hlt">CAIs</span>) can be used to understand the conditions present in the protoplantary disk where they formed. The isotopic compositions of these early-formed nebular materials are largely controlled by chemical volatility. The isotopic effects of evaporation/sublimation, which are well explained by both theory and experimental work, lead to enrichments of the heavy isotopes that are often exhibited by the moderately refractory elements Mg and Si. Less well understood are the isotopic effects of condensation, which limits our ability to determine whether a <span class="hlt">CAI</span> is a primary condensate and/or retains any evidence of its primordial formation history.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.ncbi.nlm.nih.gov/pubmed/22141459','PUBMED'); return false;" href="https://www.ncbi.nlm.nih.gov/pubmed/22141459"><span>Developing the Coach Analysis and Intervention System (<span class="hlt">CAIS</span>): establishing validity and reliability of a computerised systematic observation instrument.</span></a></p> <p><a target="_blank" href="https://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pubmed">PubMed</a></p> <p>Cushion, Christopher; Harvey, Stephen; Muir, Bob; Nelson, Lee</p> <p>2012-01-01</p> <p>We outline the evolution of a computerised systematic observation tool and describe the process for establishing the validity and reliability of this new instrument. The Coach Analysis and Interventions System (<span class="hlt">CAIS</span>) has 23 primary behaviours related to physical behaviour, feedback/reinforcement, instruction, verbal/non-verbal, questioning and management. The instrument also analyses secondary coach behaviour related to performance states, recipient, timing, content and questioning/silence. The <span class="hlt">CAIS</span> is a multi-dimensional and multi-level mechanism able to provide detailed and contextualised data about specific coaching behaviours occurring in complex and nuanced coaching interventions and environments that can be applied to both practice sessions and competition.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017AMT....10..811R','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017AMT....10..811R"><span>Retrievals of <span class="hlt">aerosol</span> optical and microphysical properties from <span class="hlt">Imaging</span> Polar Nephelometer scattering measurements</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Reed Espinosa, W.; Remer, Lorraine A.; Dubovik, Oleg; Ziemba, Luke; Beyersdorf, Andreas; Orozco, Daniel; Schuster, Gregory; Lapyonok, Tatyana; Fuertes, David; Vanderlei Martins, J.</p> <p>2017-03-01</p> <p>A method for the retrieval of <span class="hlt">aerosol</span> optical and microphysical properties from in situ light-scattering measurements is presented and the results are compared with existing measurement techniques. The Generalized Retrieval of <span class="hlt">Aerosol</span> and Surface Properties (GRASP) is applied to airborne and laboratory measurements made by a novel polar nephelometer. This instrument, the Polarized <span class="hlt">Imaging</span> Nephelometer (PI-Neph), is capable of making high-accuracy field measurements of phase function and degree of linear polarization, at three visible wavelengths, over a wide angular range of 3 to 177°. The resulting retrieval produces particle size distributions (PSDs) that agree, within experimental error, with measurements made by commercial optical particle counters (OPCs). Additionally, the retrieved real part of the refractive index is generally found to be within the predicted error of 0.02 from the expected values for three species of humidified salt particles, with a refractive index that is well established. The airborne measurements used in this work were made aboard the NASA DC-8 aircraft during the Studies of Emissions and Atmospheric Composition, Clouds and Climate Coupling by Regional Surveys (SEAC4RS) field campaign, and the inversion of this data represents the first <span class="hlt">aerosol</span> retrievals of airborne polar nephelometer data. The results provide confidence in the real refractive index product, as well as in the retrieval's ability to accurately determine PSD, without assumptions about refractive index that are required by the majority of OPCs.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2011JGRD..11612205S','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2011JGRD..11612205S"><span>Direct and semidirect <span class="hlt">aerosol</span> effects of southern African biomass burning <span class="hlt">aerosol</span></span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Sakaeda, Naoko; Wood, Robert; Rasch, Philip J.</p> <p>2011-06-01</p> <p>Direct and semidirect radiative effects of biomass burning <span class="hlt">aerosols</span> from southern African fires during July-October are investigated using 20 year runs of the Community Atmospheric Model (CAM) coupled to a slab ocean model. <span class="hlt">Aerosol</span> optical depth is constrained using observations in clear skies from Moderate Resolution <span class="hlt">Imaging</span> Spectroradiometer (MODIS) and for <span class="hlt">aerosol</span> layers above clouds from Cloud <span class="hlt">Aerosol</span> Lidar and Infrared Pathfinder Satellite Observation (CALIPSO). Over the ocean, where the <span class="hlt">aerosol</span> layers are primarily located above cloud, negative top of atmosphere (TOA) semidirect radiative effects associated with increased low cloud cover dominate over a weaker positive all-sky direct radiative effect (DRE). In contrast, over the land where the <span class="hlt">aerosols</span> are often below or within cloud layers, reductions in cloud liquid water path (LWP) lead to a positive semidirect radiative effect that dominates over a near-zero DRE. Over the ocean, the cloud response can be understood as a response to increased lower tropospheric stability (LTS) which is caused both by radiative heating in overlying layers and surface cooling in response to direct <span class="hlt">aerosol</span> forcing. The marine cloud changes are robust to changes in the cloud parameterization (removal of the hard-wired dependence of clouds on LTS), suggesting that they are physically realistic. Over land, decreased LWP is consistent with weaker convection driven by increased static stability. Over the entire region the overall TOA radiative effect from the biomass burning <span class="hlt">aerosols</span> is almost zero due to opposing effects over the land and ocean. However, the surface forcing is strongly negative, which leads to a reduction in precipitation and also a reduction in sensible heat flux. The former is primarily realized through reductions in convective precipitation on both the southern and northern flanks of the convective precipitation region spanning the equatorial rain forest and the Intertropical Convergence Zone (ITCZ) in the</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2015AGUFM.A41L..07X','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2015AGUFM.A41L..07X"><span>Joint <span class="hlt">aerosol</span> and water-leaving radiance retrieval from Airborne Multi-angle SpectroPolarimeter <span class="hlt">Imager</span></span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Xu, F.; Dubovik, O.; Zhai, P.; Kalashnikova, O. V.; Diner, D. J.</p> <p>2015-12-01</p> <p>The Airborne Multiangle SpectroPolarimetric <span class="hlt">Imager</span> (AirMSPI) [1] has been flying aboard the NASA ER-2 high altitude aircraft since October 2010. In step-and-stare operation mode, AirMSPI typically acquires observations of a target area at 9 view angles between ±67° off the nadir. Its spectral channels are centered at 355, 380, 445, 470*, 555, 660*, and 865* nm, where the asterisk denotes the polarimetric bands. In order to retrieve information from the AirMSPI observations, we developed a efficient and flexible retrieval code that can jointly retrieve <span class="hlt">aerosol</span> and water leaving radiance simultaneously. The forward model employs a coupled Markov Chain (MC) [2] and adding/doubling [3] radiative transfer method which is fully linearized and integrated with a multi-patch retrieval algorithm to obtain <span class="hlt">aerosol</span> and water leaving radiance/Chl-a information. Various constraints are imposed to improve convergence and retrieval stability. We tested the <span class="hlt">aerosol</span> and water leaving radiance retrievals using the AirMSPI radiance and polarization measurements by comparing to the retrieved <span class="hlt">aerosol</span> concentration, size distribution, water-leaving radiance, and chlorophyll concentration to the values reported by the USC SeaPRISM AERONET-OC site off the coast of Southern California. In addition, the MC-based retrievals of <span class="hlt">aerosol</span> properties were compared with GRASP ([4-5]) retrievals for selected cases. The MC-based retrieval approach was then used to systematically explore the benefits of AirMSPI's ultraviolet and polarimetric channels, the use of multiple view angles, and constraints provided by inclusion of bio-optical models of the water-leaving radiance. References [1]. D. J. Diner, et al. Atmos. Meas. Tech. 6, 1717 (2013). [2]. F. Xu et al. Opt. Lett. 36, 2083 (2011). [3]. J. E. Hansen and L.D. Travis. Space Sci. Rev. 16, 527 (1974). [4]. O. Dubovik et al. Atmos. Meas. Tech., 4, 975 (2011). [5]. O. Dubovik et al. SPIE: Newsroom, DOI:10.1117/2.1201408.005558 (2014).</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.osti.gov/biblio/21390725-experimental-study-fuel-injection-strategies-cai-gasoline-engine','SCIGOV-STC'); return false;" href="https://www.osti.gov/biblio/21390725-experimental-study-fuel-injection-strategies-cai-gasoline-engine"><span>An experimental study of fuel injection strategies in <span class="hlt">CAI</span> gasoline engine</span></a></p> <p><a target="_blank" href="http://www.osti.gov/search">DOE Office of Scientific and Technical Information (OSTI.GOV)</a></p> <p>Hunicz, J.; Kordos, P.</p> <p>2011-01-15</p> <p>Combustion of gasoline in a direct injection controlled auto-ignition (<span class="hlt">CAI</span>) single-cylinder research engine was studied. <span class="hlt">CAI</span> operation was achieved with the use of the negative valve overlap (NVO) technique and internal exhaust gas re-circulation (EGR). Experiments were performed at single injection and split injection, where some amount of fuel was injected close to top dead centre (TDC) during NVO interval, and the second injection was applied with variable timing. Additionally, combustion at variable fuel-rail pressure was examined. Investigation showed that at fuel injection into recompressed exhaust fuel reforming took place. This process was identified via an analysis of the exhaust-fuelmore » mixture composition after NVO interval. It was found that at single fuel injection in NVO phase, its advance determined the heat release rate and auto-ignition timing, and had a strong influence on NO{sub X} emission. However, a delay of single injection to intake stroke resulted in deterioration of cycle-to-cycle variability. Application of split injection showed benefits of this strategy versus single injection. Examinations of different fuel mass split ratios and variable second injection timing resulted in further optimisation of mixture formation. At equal share of the fuel mass injected in the first injection during NVO and in the second injection at the beginning of compression, the lowest emission level and cyclic variability improvement were observed. (author)« less</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2013AGUFM.A24E..07M','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2013AGUFM.A24E..07M"><span>Measurement of <span class="hlt">Aerosol</span> and Cloud Particles with PACS and HARP Hyperangular <span class="hlt">Imaging</span> Polarimeters</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Martins, J.; Fernandez-Borda, R.; Remer, L. A.; Sparr, L.; Buczkowski, S.; Munchak, L. A.</p> <p>2013-12-01</p> <p>PACS is new hyper-angular <span class="hlt">imaging</span> polarimeter for aeorosol and cloud measurerents designed to meet the requirements of the proposed ACE decadal survey mission. The full PACS system consists of three wide field of view (110deg cross track) telescopes covering the UV, VNIR, and SWIR spectral ranges with angular coverage between +55 deg forward to -55deg backwards. The angular density can be selected to cover up to 100 different viewing angles at selected wavelengths. PACS_VNIR is a prototype airborne instrument designed to demonstrate PACS capability by deploying just one of the three wavelength modules of the full PACS. With wavelengths at 470, 550, 675, 760 and 875nm, PACS_VNIR flew for the first time during the PODEX experiment in January/February 2013 aboard the NASA ER-2 aircraft. PACS SWIR (1.64, 1.88, 2.1, and 2.25um) is currently under construction and should be operational in the lab by Fall/2013. PACS_ UV has been fully designed, but is not yet under construction. During the PODEX flights PACS_VNIR collected data for <span class="hlt">aerosol</span> and clouds over variable surface types including, water, vegetation, urban areas, and snow. The data is currently being calibrated, geolocated and prepared for the inversion of geophysical parameters including water cloud size distribution and <span class="hlt">aerosol</span> microphysical parameters. The large density of angles in PACS allows for the characterization of cloudbow features in relatively high spatial resolution in a pixel to pixel basis. This avoids the need for assumptions of cloud homogeneity over any distance. The hyperangle capability also allows detailed observation of cloud ice particles, surface characterization, and optimum selection of the number of angles desired for <span class="hlt">aerosol</span> retrievals. The <span class="hlt">aerosol</span> and cloud retrieval algorithms under development for the retrieval of particle microphysical properties from the PACS data will be discussed in this presentation. As an extension of the PACS concept we are currently developing the HARP (Hyper</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017GeCoA.201....6P','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017GeCoA.201....6P"><span>Calcium-aluminum-rich inclusions with fractionation and unidentified nuclear effects (FUN <span class="hlt">CAIs</span>): II. Heterogeneities of magnesium isotopes and 26Al in the early Solar System inferred from in situ high-precision magnesium-isotope measurements</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Park, Changkun; Nagashima, Kazuhide; Krot, Alexander N.; Huss, Gary R.; Davis, Andrew M.; Bizzarro, Martin</p> <p>2017-03-01</p> <p>Calcium-aluminum-rich inclusions with isotopic mass fractionation effects and unidentified nuclear isotopic anomalies (FUN <span class="hlt">CAIs</span>) have been studied for more than 40 years, but their origins remain enigmatic. Here we report in situ high precision measurements of aluminum-magnesium isotope systematics of FUN <span class="hlt">CAIs</span> by secondary ion mass spectrometry (SIMS). Individual minerals were analyzed in six FUN <span class="hlt">CAIs</span> from the oxidized CV3 carbonaceous chondrites Axtell (compact Type A <span class="hlt">CAI</span> Axtell 2271) and Allende (Type B <span class="hlt">CAIs</span> C1 and EK1-4-1, and forsterite-bearing Type B <span class="hlt">CAIs</span> BG82DH8, CG-14, and TE). Most of these <span class="hlt">CAIs</span> show evidence for excess 26Mg due to the decay of 26Al. The inferred initial 26Al/27Al ratios [(26Al/27Al)0] and the initial magnesium isotopic compositions (δ26Mg0) calculated using an exponential law with an exponent β of 0.5128 are (3.1 ± 1.6) × 10-6 and 0.60 ± 0.10‰ (Axtell 2271), (3.7 ± 1.5) × 10-6 and -0.20 ± 0.05‰ (BG82DH8), (2.2 ± 1.1) × 10-6 and -0.18 ± 0.05‰ (C1), (2.3 ± 2.4) × 10-5 and -2.23 ± 0.37‰ (EK1-4-1), (1.5 ± 1.1) × 10-5 and -0.42 ± 0.08‰ (CG-14), and (5.3 ± 0.9) × 10-5 and -0.05 ± 0.08‰ (TE) with 2σ uncertainties. We infer that FUN <span class="hlt">CAIs</span> recorded heterogeneities of magnesium isotopes and 26Al in the <span class="hlt">CAI</span>-forming region(s). Comparison of 26Al-26Mg systematics, stable isotope (oxygen, magnesium, calcium, and titanium) and trace element studies of FUN and non-FUN igneous <span class="hlt">CAIs</span> indicates that there is a continuum among these <span class="hlt">CAI</span> types. Based on these observations and evaporation experiments on <span class="hlt">CAI</span>-like melts, we propose a generic scenario for the origin of igneous (FUN and non-FUN) <span class="hlt">CAIs</span>: (i) condensation of isotopically normal solids in an 16O-rich gas of approximately solar composition; (ii) formation of <span class="hlt">CAI</span> precursors by aggregation of these solids together with variable abundances of isotopically anomalous grains-possible carriers of unidentified nuclear (UN) effects; and (iii) melt evaporation of these precursors</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://ntrs.nasa.gov/search.jsp?R=20080045766&hterms=negev+radiation&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D20%26Ntt%3Dnegev%2Bradiation','NASA-TRS'); return false;" href="https://ntrs.nasa.gov/search.jsp?R=20080045766&hterms=negev+radiation&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D20%26Ntt%3Dnegev%2Bradiation"><span>The Global <span class="hlt">Aerosol</span> System As Viewed By MODIS Today</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Remer, Lorraine</p> <p>2008-01-01</p> <p>The MODerate resolution <span class="hlt">Imaging</span> Spectroradiometer (MODIS) <span class="hlt">aerosol</span> algorithms have been working steadily since early 2000 to transform the MODIS-measured spectral solar reflectance from the Earth's surface and atmosphere into a variety of <span class="hlt">aerosol</span> products. In this lecture I will proceed through a survey of these products, answering the following questions as I proceed. What are the products? How do they compare with ground truth? How do we use these products to describe the global <span class="hlt">aerosol</span> system? Are <span class="hlt">aerosols</span> increasing or decreasing? How do <span class="hlt">aerosols</span> affect climate and clouds?</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://files.eric.ed.gov/fulltext/ED432263.pdf','ERIC'); return false;" href="http://files.eric.ed.gov/fulltext/ED432263.pdf"><span>Using Pre-test/Post-test Data To Evaluate the Effectiveness of Computer Aided Instruction (A Study of <span class="hlt">CAI</span> and Its Use with Developmental Reading Students).</span></a></p> <p><a target="_blank" href="http://www.eric.ed.gov/ERICWebPortal/search/extended.jsp?_pageLabel=advanced">ERIC Educational Resources Information Center</a></p> <p>Lansford, Carl E.</p> <p></p> <p>As computer aided instruction (<span class="hlt">CAI</span>) and distance learning become more popular, a model for easily evaluating these teaching methods must be developed, one which will enable replication of the study each year. This paper discusses the results of a study using existing dependent and independent variables to evaluate <span class="hlt">CAI</span> for developmental reading…</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.osti.gov/biblio/1229980-chemical-imaging-ambient-aerosol-particles-observational-constraints-mixing-state-parameterization','SCIGOV-STC'); return false;" href="https://www.osti.gov/biblio/1229980-chemical-imaging-ambient-aerosol-particles-observational-constraints-mixing-state-parameterization"><span>Chemical <span class="hlt">Imaging</span> of Ambient <span class="hlt">Aerosol</span> Particles: Observational Constraints on Mixing State Parameterization</span></a></p> <p><a target="_blank" href="http://www.osti.gov/search">DOE Office of Scientific and Technical Information (OSTI.GOV)</a></p> <p>O'Brien, Rachel; Wang, Bingbing; Laskin, Alexander</p> <p>2015-09-28</p> <p>A new parameterization for quantifying the mixing state of <span class="hlt">aerosol</span> populations has been applied for the first time to samples of ambient particles analyzed using spectro-microscopy techniques. Scanning transmission x-ray microscopy/near edge x-ray absorption fine structure (STXM/NEXAFS) and computer controlled scanning electron microscopy/energy dispersive x-ray spectroscopy (CCSEM/EDX) were used to probe the composition of the organic and inorganic fraction of individual particles collected on June 27th and 28th during the 2010 Carbonaceous <span class="hlt">Aerosols</span> and Radiative Effects (CARES) study in the Central Valley, California. The first field site, T0, was located in downtown Sacramento, while T1 was located near the Sierramore » Nevada Mountains. Mass estimates of the <span class="hlt">aerosol</span> particle components were used to calculate mixing state metrics, such as the particle-specific diversity, bulk population diversity, and mixing state index, for each sample. Both microscopy <span class="hlt">imaging</span> techniques showed more changes over these two days in the mixing state at the T0 site than at the T1 site. The STXM data showed evidence of changes in the mixing state associated with a build-up of organic matter confirmed by collocated measurements and the largest impact on the mixing state was due to an increase in soot dominant particles during this build-up. The CCSEM/EDX analysis showed the presence of two types of particle populations; the first was dominated by aged sea salt particles and had a higher mixing state index (indicating a more homogeneous population), the second was dominated by carbonaceous particles and had a lower mixing state index.« less</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2011JGRD..116.5208B','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2011JGRD..116.5208B"><span>Quantifying the response of the ORAC <span class="hlt">aerosol</span> optical depth retrieval for MSG SEVIRI to <span class="hlt">aerosol</span> model assumptions</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Bulgin, Claire E.; Palmer, Paul I.; Merchant, Christopher J.; Siddans, Richard; Gonzi, Siegfried; Poulsen, Caroline A.; Thomas, Gareth E.; Sayer, Andrew M.; Carboni, Elisa; Grainger, Roy G.; Highwood, Eleanor J.; Ryder, Claire L.</p> <p>2011-03-01</p> <p>We test the response of the Oxford-RAL <span class="hlt">Aerosol</span> and Cloud (ORAC) retrieval algorithm for Meteosat Second Generation Spinning Enhanced Visible and InfraRed <span class="hlt">Imager</span> (MSG SEVIRI) to changes in the <span class="hlt">aerosol</span> properties used in the dust <span class="hlt">aerosol</span> model, using data from the Dust Outflow and Deposition to the Ocean (DODO) flight campaign in August 2006. We find that using the observed DODO free tropospheric <span class="hlt">aerosol</span> size distribution and refractive index increases simulated top of the atmosphere radiance at 0.55 μm assuming a fixed <span class="hlt">aerosol</span> optical depth of 0.5 by 10-15%, reaching a maximum difference at low solar zenith angles. We test the sensitivity of the retrieval to the vertical distribution of the <span class="hlt">aerosol</span> and find that this is unimportant in determining simulated radiance at 0.55 μm. We also test the ability of the ORAC retrieval when used to produce the Glob<span class="hlt">Aerosol</span> data set to correctly identify continental <span class="hlt">aerosol</span> outflow from the African continent, and we find that it poorly constrains <span class="hlt">aerosol</span> speciation. We develop spatially and temporally resolved prior distributions of <span class="hlt">aerosols</span> to inform the retrieval which incorporates five <span class="hlt">aerosol</span> models: desert dust, maritime, biomass burning, urban, and continental. We use a Saharan Dust Index and the GEOS-Chem chemistry transport model to describe dust and biomass burning <span class="hlt">aerosol</span> outflow and compare AOD using our speciation against the Glob<span class="hlt">Aerosol</span> retrieval during January and July 2006. We find AOD discrepancies of 0.2-1 over regions of intense biomass burning outflow, where AOD from our <span class="hlt">aerosol</span> speciation and Glob<span class="hlt">Aerosol</span> speciation can differ by as much as 50-70%.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2016AGUFM.A44A..05D','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2016AGUFM.A44A..05D"><span>The Multi-Angle <span class="hlt">Imager</span> for <span class="hlt">Aerosols</span> (MAIA) Instrument, the Satellite-Based Element of an Investigation to Benefit Public Health</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Diner, D. J.</p> <p>2016-12-01</p> <p>Maps of airborne particulate matter (PM) derived from satellite instruments, including MISR and MODIS, have provided key contributions to many health-related investigations. Although it is well established that PM exposure increases the risks of cardiovascular and respiratory disease, adverse birth outcomes, and premature deaths, our understanding of the relative toxicity of specific PM types—mixtures having different size distributions and compositions—is relatively poor. To address this, the Multi-Angle <span class="hlt">Imager</span> for <span class="hlt">Aerosols</span> (MAIA) investigation was proposed to NASA's third Earth Venture Instrument (EVI-3) solicitation. MAIA was selected for funding in March 2016. The satellite-based MAIA instrument is one element of the scientific investigation, which will combine WRF-Chem transport model estimates of the abundances of different <span class="hlt">aerosol</span> types with the data acquired from Earth orbit. Geostatistical models derived from collocated surface and MAIA retrievals will be used to relate retrieved fractional column <span class="hlt">aerosol</span> optical depths to near-surface concentrations of major PM constituents. Epidemiological analyses of geocoded birth, death, and hospital records will be used to associate exposure to PM types with adverse health outcomes. The MAIA instrument obtains its sensitivity to particle type by building upon the legacies of many satellite sensors; observing in the UV, visible, near-IR, and shortwave-IR regions of the electromagnetic spectrum; acquiring <span class="hlt">images</span> at multiple angles of view; determining the degree to which the scattered light is polarized; and integrating these capabilities at moderately high spatial resolution. The instrument concept is based on the first and second generation Airborne Multiangle SpectroPolarimetric <span class="hlt">Imagers</span>, AirMSPI and AirMSPI-2. MAIA incorporates a pair of pushbroom cameras on a two-axis gimbal to provide regional multiangle observations of selected, globally distributed target areas. A set of Primary Target Areas (PTAs) on five</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.ncbi.nlm.nih.gov/pubmed/26522496','PUBMED'); return false;" href="https://www.ncbi.nlm.nih.gov/pubmed/26522496"><span>The contribution of the androgen receptor (AR) in human spatial learning and memory: A study in women with complete androgen insensitivity syndrome (<span class="hlt">CAIS</span>).</span></a></p> <p><a target="_blank" href="https://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pubmed">PubMed</a></p> <p>Mueller, S C; Verwilst, T; Van Branteghem, A; T'Sjoen, G; Cools, M</p> <p>2016-02-01</p> <p>Few studies have examined the impact of androgen insensitivity on human spatial learning and memory. In the present study, we tested 11 women with complete androgen insensitivity syndrome (<span class="hlt">CAIS</span>), a rare genetic disorder characterized by complete absence of AR activity, and compared their performance against 20 comparison males and 19 comparison females on a virtual analog of the Morris Water Maze task. The results replicated a main sex effect showing that men relative to women were faster in finding the hidden platform and had reduced heading error. Furthermore, findings indicated that mean performance of women with <span class="hlt">CAIS</span> was between control women and control men, though the differences were not statistically significant. Effect size estimates (and corresponding confidence intervals) of spatial learning trials showed little difference between women with <span class="hlt">CAIS</span> and control women but <span class="hlt">CAIS</span> women differed from men, but not women, on two variables, latency to find the platform and first-move latency. No differences between groups were present during visible platform trials or the probe trial, a measure of spatial memory. Moreover, groups also did not differ on estimates of IQ and variability of performance. The findings are discussed in relation to androgen insensitivity in human spatial learning and memory. Copyright © 2015 Elsevier Inc. All rights reserved.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20020008210','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20020008210"><span>Validation of MODIS <span class="hlt">Aerosol</span> Retrieval Over Ocean</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Remer, Lorraine A.; Tanre, Didier; Kaufman, Yoram J.; Ichoku, Charles; Mattoo, Shana; Levy, Robert; Chu, D. Allen; Holben, Brent N.; Dubovik, Oleg; Ahmad, Ziauddin; <a style="text-decoration: none; " href="javascript:void(0); " onClick="displayelement('author_20020008210'); toggleEditAbsImage('author_20020008210_show'); toggleEditAbsImage('author_20020008210_hide'); "> <img style="display:inline; width:12px; height:12px; " src="images/arrow-up.gif" width="12" height="12" border="0" alt="hide" id="author_20020008210_show"> <img style="width:12px; height:12px; display:none; " src="images/arrow-down.gif" width="12" height="12" border="0" alt="hide" id="author_20020008210_hide"></p> <p>2001-01-01</p> <p>The MODerate resolution <span class="hlt">Imaging</span> Spectroradiometer (MODIS) algorithm for determining <span class="hlt">aerosol</span> characteristics over ocean is performing with remarkable accuracy. A two-month data set of MODIS retrievals co-located with observations from the <span class="hlt">AErosol</span> RObotic NETwork (AERONET) ground-based sunphotometer network provides the necessary validation. Spectral radiation measured by MODIS (in the range 550 - 2100 nm) is used to retrieve the <span class="hlt">aerosol</span> optical thickness, effective particle radius and ratio between the submicron and micron size particles. MODIS-retrieved <span class="hlt">aerosol</span> optical thickness at 660 nm and 870 nm fall within the expected uncertainty, with the ensemble average at 660 nm differing by only 2% from the AERONET observations and having virtually no offset. MODIS retrievals of <span class="hlt">aerosol</span> effective radius agree with AERONET retrievals to within +/- 0.10 micrometers, while MODIS-derived ratios between large and small mode <span class="hlt">aerosol</span> show definite correlation with ratios derived from AERONET data.</p> </li> </ol> <div class="pull-right"> <ul class="pagination"> <li><a href="#" onclick='return showDiv("page_1");'>«</a></li> <li><a href="#" onclick='return showDiv("page_10");'>10</a></li> <li><a href="#" onclick='return showDiv("page_11");'>11</a></li> <li class="active"><span>12</span></li> <li><a href="#" onclick='return showDiv("page_13");'>13</a></li> <li><a href="#" onclick='return showDiv("page_14");'>14</a></li> <li><a href="#" onclick='return showDiv("page_25");'>»</a></li> </ul> </div> </div><!-- col-sm-12 --> </div><!-- row --> </div><!-- page_12 --> <div id="page_13" class="hiddenDiv"> <div class="row"> <div class="col-sm-12"> <div class="pull-right"> <ul class="pagination"> <li><a href="#" onclick='return showDiv("page_1");'>«</a></li> <li><a href="#" onclick='return showDiv("page_11");'>11</a></li> <li><a href="#" onclick='return showDiv("page_12");'>12</a></li> <li class="active"><span>13</span></li> <li><a href="#" onclick='return showDiv("page_14");'>14</a></li> <li><a href="#" onclick='return showDiv("page_15");'>15</a></li> <li><a href="#" onclick='return showDiv("page_25");'>»</a></li> </ul> </div> </div> </div> <div class="row"> <div class="col-sm-12"> <ol class="result-class" start="241"> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.gpo.gov/fdsys/pkg/FR-2012-02-17/pdf/2012-3839.pdf','FEDREG'); return false;" href="https://www.gpo.gov/fdsys/pkg/FR-2012-02-17/pdf/2012-3839.pdf"><span>77 FR 9625 - Presentation of Final Conventional Conformance Test Criteria and Common Air Interface (<span class="hlt">CAI</span>...</span></a></p> <p><a target="_blank" href="http://www.gpo.gov/fdsys/browse/collection.action?collectionCode=FR">Federal Register 2010, 2011, 2012, 2013, 2014</a></p> <p></p> <p>2012-02-17</p> <p>... Tests for Inclusion in the Program AGENCY: National Institute of Standards and Technology (NIST... meeting is to present the final requirements for <span class="hlt">CAI</span> conventional conformance tests for inclusion in the... suitability for inclusion in the P25 CAP is below: Conformance tests should limit devices in the test...</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017AGUFM.A13D2090L','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017AGUFM.A13D2090L"><span><span class="hlt">Aerosol</span> layer height from synergistic use of VIIRS and OMPS</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Lee, J.; Hsu, N. Y. C.; Sayer, A. M.; Kim, W.; Seftor, C. J.</p> <p>2017-12-01</p> <p>This study presents an <span class="hlt">Aerosol</span> Single-scattering albedo and Height Estimation (ASHE) algorithm, which retrieves the height of UV-absorbing <span class="hlt">aerosols</span> by synergistically using the Visible Infrared <span class="hlt">Imaging</span> Radiometer Suite (VIIRS) and the Ozone Mapping and Profiler Suite (OMPS). ASHE provides height information over a much broader area than ground-based or spaceborne lidar measurements by benefitting from the wide swaths of the two instruments used. As determination of single-scattering albedo (SSA) of the <span class="hlt">aerosol</span> layer is the most critical part for the performance and coverage of ASHE, here we demonstrate three different strategies to constrain the SSA. First, ASHE is able to retrieve the SSA of UV-absorbing <span class="hlt">aerosols</span> when Cloud-<span class="hlt">Aerosol</span> Lidar with Orthogonal Polarization (CALIOP) provides vertical profiles of the <span class="hlt">aerosol</span> layer of interest. Second, <span class="hlt">Aerosol</span> Robotic Network (AERONET) inversions can directly constrain the SSA of the <span class="hlt">aerosol</span> layer when collocated with VIIRS or OMPS. Last, a SSA climatology from ASHE, AERONET, or other data sources can be used for large-scale, aged <span class="hlt">aerosol</span> events, for which climatological SSA is well-known, at the cost of a slight decrease in retrieval accuracy. The same algorithm can be applied to measurements of similar type, such as those made by the Moderate Resolution <span class="hlt">Imaging</span> Spectroradiometer (MODIS) and Ozone Monitoring Instrument (OMI), for a long-term, consistent data record.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20040004300','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20040004300"><span><span class="hlt">Aerosol</span> Models for the CALIPSO Lidar Inversion Algorithms</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Omar, Ali H.; Winker, David M.; Won, Jae-Gwang</p> <p>2003-01-01</p> <p>We use measurements and models to develop <span class="hlt">aerosol</span> models for use in the inversion algorithms for the Cloud <span class="hlt">Aerosol</span> Lidar and <span class="hlt">Imager</span> Pathfinder Spaceborne Observations (CALIPSO). Radiance measurements and inversions of the <span class="hlt">AErosol</span> RObotic NETwork (AERONET1, 2) are used to group global atmospheric <span class="hlt">aerosols</span> using optical and microphysical parameters. This study uses more than 105 records of radiance measurements, <span class="hlt">aerosol</span> size distributions, and complex refractive indices to generate the optical properties of the <span class="hlt">aerosol</span> at more 200 sites worldwide. These properties together with the radiance measurements are then classified using classical clustering methods to group the sites according to the type of <span class="hlt">aerosol</span> with the greatest frequency of occurrence at each site. Six significant clusters are identified: desert dust, biomass burning, urban industrial pollution, rural background, marine, and dirty pollution. Three of these are used in the CALIPSO <span class="hlt">aerosol</span> models to characterize desert dust, biomass burning, and polluted continental <span class="hlt">aerosols</span>. The CALIPSO <span class="hlt">aerosol</span> model also uses the coarse mode of desert dust and the fine mode of biomass burning to build a polluted dust model. For marine <span class="hlt">aerosol</span>, the CALIPSO <span class="hlt">aerosol</span> model uses measurements from the SEAS experiment 3. In addition to categorizing the <span class="hlt">aerosol</span> types, the cluster analysis provides all the column optical and microphysical properties for each cluster.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017AGUFMGC41F..03K','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017AGUFMGC41F..03K"><span>Resolving the <span class="hlt">Aerosol</span> Piece of the Global Climate Picture</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Kahn, R. A.</p> <p>2017-12-01</p> <p>Factors affecting our ability to calculate climate forcing and estimate model predictive skill include direct radiative effects of <span class="hlt">aerosols</span> and their indirect effects on clouds. Several decades of Earth-observing satellite observations have produced a global <span class="hlt">aerosol</span> column-amount (AOD) record, but an <span class="hlt">aerosol</span> microphysical property record required for climate and many air quality applications is lacking. Surface-based photometers offer qualitative <span class="hlt">aerosol</span>-type classification, and several space-based instruments map <span class="hlt">aerosol</span> air-mass types under favorable conditions. However, <span class="hlt">aerosol</span> hygroscopicity, mass extinction efficiency (MEE), and quantitative light absorption, must be obtained from in situ measurements. Completing the <span class="hlt">aerosol</span> piece of the climate picture requires three elements: (1) continuing global AOD and qualitative type mapping from space-based, multi-angle <span class="hlt">imagers</span> and <span class="hlt">aerosol</span> vertical distribution from near-source stereo <span class="hlt">imaging</span> and downwind lidar, (2) systematic, quantitative in situ observations of particle properties unobtainable from space, and (3) continuing transport modeling to connect observations to sources, and extrapolate limited sampling in space and time. At present, the biggest challenges to producing the needed <span class="hlt">aerosol</span> data record are: filling gaps in particle property observations, maintaining global observing capabilities, and putting the pieces together. Obtaining the PDFs of key particle properties, adequately sampled, is now the leading observational deficiency. One simplifying factor is that, for a given <span class="hlt">aerosol</span> source and season, <span class="hlt">aerosol</span> amounts often vary, but particle properties tend to be repeatable. SAM-CAAM (Systematic Aircraft Measurements to Characterize <span class="hlt">Aerosol</span> Air Masses), a modest aircraft payload deployed frequently could fill this gap, adding value to the entire satellite data record, improving <span class="hlt">aerosol</span> property assumptions in retrieval algorithms, and providing MEEs to translate between remote-sensing optical constraints</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2016AGUFMGC21H1180L','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2016AGUFMGC21H1180L"><span>Background <span class="hlt">aerosol</span> over the Himalayas and Tibetan Plateau: observed characteristics of <span class="hlt">aerosol</span> mass loading</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Liu, B.; Cong, Z.; Wang, Y.; Xin, J.; Wan, X.; Pan, Y.; Liu, Z.; Wang, Y.; Zhang, G.; Kang, S.</p> <p>2016-12-01</p> <p>To investigate the atmospheric <span class="hlt">aerosols</span> of the Himalayas and Tibetan Plateau (HTP), an observation network was established within the region's various ecosystems, including at Ngari, Qomolangma (QOMS), Nam Co, and SouthEastern Tibetan (SET) stations. In this paper we illustrate <span class="hlt">aerosol</span> mass loadings by integrating in situ measurements with satellite and ground-based remote sensing datasets for the 2011-2013 period, on both local and large scales. Mass concentrations of these surface atmospheric <span class="hlt">aerosols</span> were relatively low and varied with land cover, showing a general tendency of Ngari and QOMS (barren sites) > Nam Co (grassland site) > SET (forest site). Bimodal mass distributions of size-segregated particles were found at all sites, with a relatively small peak in accumulation mode and a more notable peak in coarse mode. Diurnal variations in fine <span class="hlt">aerosol</span> masses generally displayed a bi-peak pattern at the QOMS, Nam Co and SET stations and a single-peak pattern at the Ngari station, controlled by the effects of local geomorphology, mountain-valley breeze circulation and <span class="hlt">aerosol</span> emissions. Combining surface <span class="hlt">aerosols</span> data and atmospheric-column <span class="hlt">aerosol</span> optical properties, the TSP mass and <span class="hlt">aerosol</span> optical depth (AOD) of the Multi-angle <span class="hlt">Imaging</span> Spectroradiometer (MISR) generally decreased as land cover changed from barren to forest, in inverse relation to the PM2.5 ratios. The seasonality of <span class="hlt">aerosol</span> mass parameters was land-cover dependent. Over forest and grassland areas, TSP mass, PM2.5 mass, MISR-AOD and fine-mode AOD were higher in spring and summer, followed by relatively lower values in autumn and winter. At the barren site (the QOMS station), there were inconsistent seasonal variations between surface TSP mass (PM2.5 mass) and atmospheric column AOD (fine-mode AOD). Our findings implicate that, HTP <span class="hlt">aerosol</span> masses (especially their reginal characteristics and fine particle emissions) need to be treated sensitively in relation to assessments of their climatic</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2014EGUGA..1614434T','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2014EGUGA..1614434T"><span>Towards a true <span class="hlt">aerosol</span>-and-cloud retrieval scheme</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Thomas, Gareth; Poulsen, Caroline; Povey, Adam; McGarragh, Greg; Jerg, Matthias; Siddans, Richard; Grainger, Don</p> <p>2014-05-01</p> <p>The Optimal Retrieval of <span class="hlt">Aerosol</span> and Cloud (ORAC) - formally the Oxford-RAL <span class="hlt">Aerosol</span> and Cloud retrieval - offers a framework that can provide consistent and well characterised properties of both <span class="hlt">aerosols</span> and clouds from a range of <span class="hlt">imaging</span> satellite instruments. Several practical issues stand in the way of achieving the potential of this combined scheme however; in particular the sometimes conflicting priorities and requirements of <span class="hlt">aerosol</span> and cloud retrieval problems, and the question of the unambiguous identification of <span class="hlt">aerosol</span> and cloud pixels. This presentation will present recent developments made to the ORAC scheme for both <span class="hlt">aerosol</span> and cloud, and detail how these are being integrated into a single retrieval framework. The implementation of a probabilistic method for pixel identification will also be presented, for both cloud detection and <span class="hlt">aerosol</span>/cloud type selection. The method is based on Bayesian methods applied the optimal estimation retrieval output of ORAC and is particularly aimed at providing additional information in the so-called "twilight zone", where pixels can't be unambiguously identified as either <span class="hlt">aerosol</span> or cloud and traditional cloud or <span class="hlt">aerosol</span> products do not provide results.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2005AGUFM.A11D..01K','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2005AGUFM.A11D..01K"><span>Space-borne Observations of <span class="hlt">Aerosols</span></span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Kaufman, Y. J.; Tanre, D.; Coakley, J. A.; Fraser, R. S.</p> <p>2005-12-01</p> <p>As early as 1963, photographs of the twilight horizon from the Vostok-6 spaceship were used by G. V. Rozenberg and V. V. Nikolaeva-Tereshkova to derive profiles of stratospheric <span class="hlt">aerosols</span>. The launch of the ATS III satellite in 1967 sparked interest in using satellites to observe <span class="hlt">aerosol</span> emission, transport, and their effects on climate, precipitation and health. The first use of autonomous satellites in <span class="hlt">aerosol</span> research appears to be by Toby Carlson and Joe Prospero who tracked dust from the Sahara to the Americas in the early `70s using ATS III <span class="hlt">images</span>. The launch of the calibrated Landsat instrument in 1972 allowed Bob Fraser to perform quantitative analyses of dust column concentrations for individual scenes. GOES launched in 1975 provided hourly data that allowed Walter Lyons and J.C. Dooley in the late 70's to report on the transport of sulfate air pollution which was later followed by estimates of the export of sulfate <span class="hlt">aerosol</span> from the US to the Atlantic Ocean. With the launch of SAGE in 1979, Pat McCormick and co-workers began long term observations of statospheric <span class="hlt">aerosols</span>. The launch of TIROS(N) and the AVHRR in 1979 marked the start of concerted efforts by Larry Stowe and his colleagues to produce operationally an <span class="hlt">aerosol</span> product over oceans from the NOAA polar orbiting satellite. With the launch of the Earth Radiation Budget Experiment scanners in the late 1980's, Sundar Christopher and his colleagues began linking AVHRR-derived <span class="hlt">aerosol</span> burdens to their effects on the Earth's radiation budget. A remarkable aspect of this early work is that instruments like the AVHRR, Landsat, and GOES <span class="hlt">imager</span> were not originally designed to perform quantitative estimates of <span class="hlt">aerosol</span> properties. In fact, corrections for the effects of <span class="hlt">aerosols</span> in determining ocean reflectances implemented primarily through the work of Howard Gordon, facilitated much improved pictures of chlorophyll in the upper oceans than had been hoped for from CZCS data collected in the late 70's. This</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://eosweb.larc.nasa.gov/project/misr/clim_likely_aerosols','SCIGOV-ASDC'); return false;" href="https://eosweb.larc.nasa.gov/project/misr/clim_likely_aerosols"><span>Model-Derived Global <span class="hlt">Aerosol</span> Climatology for MISR Analysis ("Clim-Likely" Data Set)</span></a></p> <p><a target="_blank" href="http://eosweb.larc.nasa.gov/">Atmospheric Science Data Center </a></p> <p></p> <p>2018-04-19</p> <p>Model-Derived Global <span class="hlt">Aerosol</span> Climatology for MISR Analysis Multi-angle <span class="hlt">Imaging</span> ... (MISR) monthly, global 1° x 1° "Clim-Likely" <span class="hlt">aerosol</span> climatology, derived from 'typical-year' <span class="hlt">aerosol</span> transport model results are available for individual 1° x 1° boxes or ...</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2013ISPAr.XL1c..85B','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2013ISPAr.XL1c..85B"><span>Using <span class="hlt">Aerosol</span> Reflectance for Dust Detection</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Bahramvash Shams, S.; Mohammadzade, A.</p> <p>2013-09-01</p> <p>In this study we propose an approach for dust detection by <span class="hlt">aerosol</span> reflectance over arid and urban region in clear sky condition. In urban and arid areas surface reflectance in red and infrared spectral is bright and hence shorter wavelength is required for this detections. Main step of our approach can be mentioned as: cloud mask for excluding cloudy pixels from our calculation, calculate Rayleigh path radiance, construct a surface reflectance data base, estimate <span class="hlt">aerosol</span> reflectance, detect dust <span class="hlt">aerosol</span>, dust detection and evaluations of dust detection. Spectral with wavelength 0.66, 0.55, 0.47 μm has been used in our dust detection. Estimating surface reflectance is the most challenging step of obtaining <span class="hlt">aerosol</span> reflectance from top of atmosphere (TOA) reflectance. Hence for surface estimation we had created a surface reflectance database of 0.05 degree latitude by 0.05 degree longitude resolution by using minimum reflectivity technique (MRT). In order to evaluate our dust detection algorithm MODIS <span class="hlt">aerosol</span> product MOD04 and common dust detection method named Brightness Temperature Difference (BTD) had been used. We had implemented this method to Moderate Resolution <span class="hlt">Imaging</span> Spectroradiometer (MODIS) <span class="hlt">image</span> of part of Iran (7 degree latitude and 8 degree longitude) spring 2005 dust phenomenon from April to June. This study uses MODIS LIB calibrated reflectance high spatial resolution (500 m) MOD02Hkm on TERRA spacecraft. Hence our dust detection spatial resolution will be higher spatial resolution than MODIS <span class="hlt">aerosol</span> product MOD04 which has 10 × 10 km2 and BTD resolution is 1 km due to the band 29 (8.7 μm), 31 (11 μm), and 32 (12 μm) spatial resolutions.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.pubmedcentral.nih.gov/articlerender.fcgi?tool=pmcentrez&artid=376873','PMC'); return false;" href="https://www.pubmedcentral.nih.gov/articlerender.fcgi?tool=pmcentrez&artid=376873"><span>Homogeneous Bacterial <span class="hlt">Aerosols</span> Produced with a Spinning-Disc Generator</span></a></p> <p><a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pmc">PubMed Central</a></p> <p>Harstad, J. Bruce; Filler, Melvin E.; Hushen, William T.; Decker, Herbert M.</p> <p>1970-01-01</p> <p><span class="hlt">Aerosols</span> composed of viable particles of a uniform size were produced with a commercial spinning-disc generator from aqueous suspensions of Bacillus subtilis var. niger spores containing various amounts of an inert material, dextran, to regulate <span class="hlt">aerosol</span> particle size. <span class="hlt">Aerosols</span> composed of single naked spores having an equivalent spherical diameter of 0.87 μm were produced from spore suspensions without dextran, whereas <span class="hlt">aerosols</span> produced from suspensions containing 0.001, 0.01, 0.1, and 1% dextran had median diameters of 0.90, 1.04, 1.80, and 3.62 μm, respectively. Such <span class="hlt">aerosols</span>, both homogeneous and viable, would be useful for calibrating air sampling devices, evaluating air filter systems, or for employment wherever <span class="hlt">aerosol</span> behavior may be size-dependent. <span class="hlt">Images</span> PMID:4989672</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2016GeCoA.189...70K','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2016GeCoA.189...70K"><span>A link between oxygen, calcium and titanium isotopes in 26Al-poor hibonite-rich <span class="hlt">CAIs</span> from Murchison and implications for the heterogeneity of dust reservoirs in the solar nebula</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Kööp, Levke; Davis, Andrew M.; Nakashima, Daisuke; Park, Changkun; Krot, Alexander N.; Nagashima, Kazuhide; Tenner, Travis J.; Heck, Philipp R.; Kita, Noriko T.</p> <p>2016-09-01</p> <p>PLACs (platy hibonite crystals) and related hibonite-rich calcium-, aluminum-rich inclusions (<span class="hlt">CAIs</span>; hereafter collectively referred to as PLAC-like <span class="hlt">CAIs</span>) have the largest nucleosynthetic isotope anomalies of all materials believed to have formed in the solar system. Most PLAC-like <span class="hlt">CAIs</span> have low inferred initial 26Al/27Al ratios and could have formed prior to injection or widespread distribution of 26Al in the solar nebula. In this study, we report 26Al-26Mg systematics combined with oxygen, calcium, and titanium isotopic compositions for a large number of newly separated PLAC-like <span class="hlt">CAIs</span> from the Murchison CM2 chondrite (32 <span class="hlt">CAIs</span> studied for oxygen, 26 of these also for 26Al-26Mg, calcium and titanium). Our results confirm (1) the large range of nucleosynthetic anomalies in 50Ti and 48Ca (our data range from -70‰ to +170‰ and -60‰ to +80‰, respectively), (2) the substantial range of Δ17O values (-28‰ to -17‰, with Δ17O = δ17O - 0.52 × δ18O), and (3) general 26Al-depletion in PLAC-like <span class="hlt">CAIs</span>. The multielement approach reveals a relationship between Δ17O and the degree of variability in 50Ti and 48Ca: PLAC-like <span class="hlt">CAIs</span> with the highest Δ17O (∼-17‰) show large positive and negative 50Ti and 48Ca anomalies, while those with the lowest Δ17O (∼-28‰) have small to no anomalies in 50Ti and 48Ca. These observations could suggest a physical link between anomalous 48Ca and 50Ti carriers and an 16O-poor reservoir. We suggest that the solar nebula was isotopically heterogeneous shortly after collapse of the protosolar molecular cloud, and that the primordial dust reservoir, in which anomalous carrier phases were heterogeneously distributed, was 16O-poor (Δ17O ⩾ -17‰) relative to the primordial gaseous (CO + H2O) reservoir (Δ17O < -35‰). However, other models such as CO self-shielding in the protoplanetary disk are also considered to explain the link between oxygen and calcium and titanium isotopes in PLAC-like <span class="hlt">CAIs</span>.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.osti.gov/biblio/1327132-extending-deep-blue-aerosol-retrieval-coverage-cases-absorbing-aerosols-above-clouds-sensitivity-analysis-first-case-studies','SCIGOV-STC'); return false;" href="https://www.osti.gov/biblio/1327132-extending-deep-blue-aerosol-retrieval-coverage-cases-absorbing-aerosols-above-clouds-sensitivity-analysis-first-case-studies"><span>Extending 'Deep Blue' <span class="hlt">aerosol</span> retrieval coverage to cases of absorbing <span class="hlt">aerosols</span> above clouds: sensitivity analysis and first case studies</span></a></p> <p><a target="_blank" href="http://www.osti.gov/search">DOE Office of Scientific and Technical Information (OSTI.GOV)</a></p> <p>Sayer, Andrew M.; Hsu, C.; Bettenhausen, Corey</p> <p></p> <p>Cases of absorbing <span class="hlt">aerosols</span> above clouds (AAC), such as smoke or mineral dust, are omitted from most routinely-processed space-based <span class="hlt">aerosol</span> optical depth (AOD) data products, including those from the Moderate Resolution <span class="hlt">Imaging</span> Spectroradiometer (MODIS). This study presents a sensitivity analysis and preliminary algorithm to retrieve above-cloud AOD and liquid cloud optical depth (COD) for AAC cases from MODIS or similar</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2016AMT.....9.2463N','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2016AMT.....9.2463N"><span>Monitoring and tracking the trans-Pacific transport of <span class="hlt">aerosols</span> using multi-satellite <span class="hlt">aerosol</span> optical depth composites</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Naeger, Aaron R.; Gupta, Pawan; Zavodsky, Bradley T.; McGrath, Kevin M.</p> <p>2016-06-01</p> <p>The primary goal of this study was to generate a near-real time (NRT) <span class="hlt">aerosol</span> optical depth (AOD) product capable of providing a comprehensive understanding of the <span class="hlt">aerosol</span> spatial distribution over the Pacific Ocean, in order to better monitor and track the trans-Pacific transport of <span class="hlt">aerosols</span>. Therefore, we developed a NRT product that takes advantage of observations from both low-earth orbiting and geostationary satellites. In particular, we utilize AOD products from the Moderate Resolution <span class="hlt">Imaging</span> Spectroradiometer (MODIS) and Suomi National Polar-orbiting Partnership (NPP) Visible Infrared <span class="hlt">Imaging</span> Radiometer Suite (VIIRS) satellites. Then, we combine these AOD products with our own retrieval algorithms developed for the NOAA Geostationary Operational Environmental Satellite (GOES-15) and Japan Meteorological Agency (JMA) Multi-functional Transport Satellite (MTSAT-2) to generate a NRT daily AOD composite product. We present examples of the daily AOD composite product for a case study of trans-Pacific transport of Asian pollution and dust <span class="hlt">aerosols</span> in mid-March 2014. Overall, the new product successfully tracks this <span class="hlt">aerosol</span> plume during its trans-Pacific transport to the west coast of North America as the frequent geostationary observations lead to a greater coverage of cloud-free AOD retrievals equatorward of about 35° N, while the polar-orbiting satellites provide a greater coverage of AOD poleward of 35° N. However, we note several areas across the domain of interest from Asia to North America where the GOES-15 and MTSAT-2 retrieval algorithms can introduce significant uncertainties into the new product.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2015AGUFM.A31D0080M','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2015AGUFM.A31D0080M"><span>The Retrieval of <span class="hlt">Aerosol</span> Optical Thickness Using the MERIS Instrument</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Mei, L.; Rozanov, V. V.; Vountas, M.; Burrows, J. P.; Levy, R. C.; Lotz, W.</p> <p>2015-12-01</p> <p>Retrieval of <span class="hlt">aerosol</span> properties for satellite instruments without shortwave-IR spectral information, multi-viewing, polarization and/or high-temporal observation ability is a challenging problem for spaceborne <span class="hlt">aerosol</span> remote sensing. However, space based instruments like the MEdium Resolution <span class="hlt">Imaging</span> Spectrometer (MERIS) and the successor, Ocean and Land Colour Instrument (OLCI) with high calibration accuracy and high spatial resolution provide unique abilities for obtaining valuable <span class="hlt">aerosol</span> information for a better understanding of the impact of <span class="hlt">aerosols</span> on climate, which is still one of the largest uncertainties of global climate change evaluation. In this study, a new <span class="hlt">Aerosol</span> Optical Thickness (AOT) retrieval algorithm (XBAER: eXtensible Bremen <span class="hlt">AErosol</span> Retrieval) is presented. XBAER utilizes the global surface spectral library database for the determination of surface properties while the MODIS collection 6 <span class="hlt">aerosol</span> type treatment is adapted for the <span class="hlt">aerosol</span> type selection. In order to take the surface Bidirectional Reflectance Distribution Function (BRDF) effect into account for the MERIS reduce resolution (1km) retrieval, a modified Ross-Li mode is used. The AOT is determined in the algorithm using lookup tables including polarization created using Radiative Transfer Model SCIATRAN3.4, by minimizing the difference between atmospheric corrected surface reflectance with given AOT and the surface reflectance calculated from the spectral library. The global comparison with operational MODIS C6 product, Multi-angle <span class="hlt">Imaging</span> SpectroRadiometer (MISR) product, Advanced Along-Track Scanning Radiometer (AATSR) <span class="hlt">aerosol</span> product and the validation using <span class="hlt">AErosol</span> RObotic NETwork (AERONET) show promising results. The current XBAER algorithm is only valid for <span class="hlt">aerosol</span> remote sensing over land and a similar method will be extended to ocean later.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://ntrs.nasa.gov/search.jsp?R=20050180418&hterms=kaufman&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D80%26Ntt%3Dkaufman','NASA-TRS'); return false;" href="https://ntrs.nasa.gov/search.jsp?R=20050180418&hterms=kaufman&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D80%26Ntt%3Dkaufman"><span>Snow and Ice Mask for the MODIS <span class="hlt">Aerosol</span> Products</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Li, Rong-Rong; Remer, Lorraine; Kaufman, Yoram J.; Mattoo, Shana; Gao, Bo-Cai; Vermote, Eric</p> <p>2005-01-01</p> <p>The atmospheric products have been derived operationally from multichannel <span class="hlt">imaging</span> data collected with the Moderate Resolution <span class="hlt">Imaging</span> SpectroRadiometers (MODIS) on board the NASA Terra and Aqua spacecrafts. Preliminary validations of the products were previously reported. Through analysis of more extensive time-series of MODIS <span class="hlt">aerosol</span> products (Collection 4), we have found that the <span class="hlt">aerosol</span> products over land areas are slightly contaminated by snow and ice during the springtime snow-melting season. We have developed an empirical technique using MODIS near-IR channels centered near 0.86 and 1.24 pm and a thermal emission channel near 11 pm to mask out these snow-contaminated pixels over land. Improved <span class="hlt">aerosol</span> retrievals over land have been obtained. Sample results from application of the technique to MODIS data acquired over North America, northern Europe, and northeastern Asia are presented. The technique has been implemented into the MODIS Collection 5 operational algorithm for retrieving <span class="hlt">aerosols</span> over land from MODIS data.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://files.eric.ed.gov/fulltext/ED297998.pdf','ERIC'); return false;" href="http://files.eric.ed.gov/fulltext/ED297998.pdf"><span>The Effect of Mode of <span class="hlt">CAI</span> and Individual Learning Differences on the Understanding of Concept Relationships.</span></a></p> <p><a target="_blank" href="http://www.eric.ed.gov/ERICWebPortal/search/extended.jsp?_pageLabel=advanced">ERIC Educational Resources Information Center</a></p> <p>Rowland, Paul McD.</p> <p></p> <p>The effect of mode of computer-assisted instruction (<span class="hlt">CAI</span>) and individual learning differences on the learning of science concepts was investigated. University elementary education majors learned about home energy use from either a computer simulation or a computer tutorial. Learning of science concepts was measured using achievement and…</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.ncbi.nlm.nih.gov/pubmed/22739316','PUBMED'); return false;" href="https://www.ncbi.nlm.nih.gov/pubmed/22739316"><span>Fractal morphology, <span class="hlt">imaging</span> and mass spectrometry of single <span class="hlt">aerosol</span> particles in flight.</span></a></p> <p><a target="_blank" href="https://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pubmed">PubMed</a></p> <p>Loh, N D; Hampton, C Y; Martin, A V; Starodub, D; Sierra, R G; Barty, A; Aquila, A; Schulz, J; Lomb, L; Steinbrener, J; Shoeman, R L; Kassemeyer, S; Bostedt, C; Bozek, J; Epp, S W; Erk, B; Hartmann, R; Rolles, D; Rudenko, A; Rudek, B; Foucar, L; Kimmel, N; Weidenspointner, G; Hauser, G; Holl, P; Pedersoli, E; Liang, M; Hunter, M S; Hunter, M M; Gumprecht, L; Coppola, N; Wunderer, C; Graafsma, H; Maia, F R N C; Ekeberg, T; Hantke, M; Fleckenstein, H; Hirsemann, H; Nass, K; White, T A; Tobias, H J; Farquar, G R; Benner, W H; Hau-Riege, S P; Reich, C; Hartmann, A; Soltau, H; Marchesini, S; Bajt, S; Barthelmess, M; Bucksbaum, P; Hodgson, K O; Strüder, L; Ullrich, J; Frank, M; Schlichting, I; Chapman, H N; Bogan, M J</p> <p>2012-06-27</p> <p>The morphology of micrometre-size particulate matter is of critical importance in fields ranging from toxicology to climate science, yet these properties are surprisingly difficult to measure in the particles' native environment. Electron microscopy requires collection of particles on a substrate; visible light scattering provides insufficient resolution; and X-ray synchrotron studies have been limited to ensembles of particles. Here we demonstrate an in situ method for <span class="hlt">imaging</span> individual sub-micrometre particles to nanometre resolution in their native environment, using intense, coherent X-ray pulses from the Linac Coherent Light Source free-electron laser. We introduced individual <span class="hlt">aerosol</span> particles into the pulsed X-ray beam, which is sufficiently intense that diffraction from individual particles can be measured for morphological analysis. At the same time, ion fragments ejected from the beam were analysed using mass spectrometry, to determine the composition of single <span class="hlt">aerosol</span> particles. Our results show the extent of internal dilation symmetry of individual soot particles subject to non-equilibrium aggregation, and the surprisingly large variability in their fractal dimensions. More broadly, our methods can be extended to resolve both static and dynamic morphology of general ensembles of disordered particles. Such general morphology has implications in topics such as solvent accessibilities in proteins, vibrational energy transfer by the hydrodynamic interaction of amino acids, and large-scale production of nanoscale structures by flame synthesis.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20110007304','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20110007304"><span>Global CALIPSO Observations of <span class="hlt">Aerosol</span> Changes Near Clouds</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Varnai, Tamas; Marshak, Alexander</p> <p>2011-01-01</p> <p>Several recent studies have found that clouds are surrounded by a transition zone of rapidly changing <span class="hlt">aerosol</span> optical properties and particle size. Characterizing this transition zone is important for better understanding <span class="hlt">aerosol</span>-cloud interactions and <span class="hlt">aerosol</span> radiative effects, and also for improving satellite retrievals of <span class="hlt">aerosol</span> properties. This letter presents a statistical analysis of a monthlong global data set of Cloud-<span class="hlt">Aerosol</span> Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) lidar observations over oceans. The results show that the transition zone is ubiquitous over all oceans and extends up to 15 km away from clouds. They also show that near-cloud enhancements in backscatter and particle size are strongest at low altitudes, slightly below the top of the nearest clouds. Also, the enhancements are similar near illuminated and shadowy cloud sides, which confirms that the asymmetry of Moderate Resolution <span class="hlt">Imaging</span> Spectroradiometer reflectances found in an earlier study comes from 3-D radiative processes and not from differences in <span class="hlt">aerosol</span> properties. Finally, the effects of CALIPSO <span class="hlt">aerosol</span> detection and cloud identification uncertainties are discussed. The findings underline the importance of accounting for the transition zone to avoid potential biases in studies of satellite <span class="hlt">aerosol</span> products, <span class="hlt">aerosol</span>-cloud interactions, and <span class="hlt">aerosol</span> direct radiative effects.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://cfpub.epa.gov/si/si_public_record_report.cfm?dirEntryId=104819&keyword=landscape+AND+remote+AND+sensing&actType=&TIMSType=+&TIMSSubTypeID=&DEID=&epaNumber=&ntisID=&archiveStatus=Both&ombCat=Any&dateBeginCreated=&dateEndCreated=&dateBeginPublishedPresented=&dateEndPublishedPresented=&dateBeginUpdated=&dateEndUpdated=&dateBeginCompleted=&dateEndCompleted=&personID=&role=Any&journalID=&publisherID=&sortBy=revisionDate&count=50','EPA-EIMS'); return false;" href="https://cfpub.epa.gov/si/si_public_record_report.cfm?dirEntryId=104819&keyword=landscape+AND+remote+AND+sensing&actType=&TIMSType=+&TIMSSubTypeID=&DEID=&epaNumber=&ntisID=&archiveStatus=Both&ombCat=Any&dateBeginCreated=&dateEndCreated=&dateBeginPublishedPresented=&dateEndPublishedPresented=&dateBeginUpdated=&dateEndUpdated=&dateBeginCompleted=&dateEndCompleted=&personID=&role=Any&journalID=&publisherID=&sortBy=revisionDate&count=50"><span>MAPPING ANNUAL MEAN GROUND-LEVEL PM2.5 CONCENTRATIONS USING MULTIANGLE <span class="hlt">IMAGING</span> SPECTRORADIOMETER <span class="hlt">AEROSOL</span> OPTICAL THICKNESS OVER THE CONTIGUOUS UNITED STATES</span></a></p> <p><a target="_blank" href="http://oaspub.epa.gov/eims/query.page">EPA Science Inventory</a></p> <p></p> <p></p> <p>We present a simple approach to estimating ground-level fine particle (PM2.5, particles smaller than 2.5 um in diameter) concentration using global atmospheric chemistry models and <span class="hlt">aerosol</span> optical thickness (AOT) measurements from the Multi- angle <span class="hlt">Imaging</span> SpectroRadiometer (MISR)...</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2006AGUFM.A33B0979H','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2006AGUFM.A33B0979H"><span>Seasonality of Forcing by Carbonaceous <span class="hlt">Aerosols</span></span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Habib, G.; Bond, T.; Rasch, P. J.; Coleman, D.</p> <p>2006-12-01</p> <p><span class="hlt">Aerosols</span> can influence the energy balance of Earth-Atmosphere system with profound effect on regional climate. Atmospheric processes, such as convection, scavenging, wet and dry deposition, govern the lifetime and location of <span class="hlt">aerosol</span>; emissions affect its quantity and location. Both affect climate forcing. Here we investigate the effect of seasonality in emissions and atmospheric processes on radiative forcing by carbonaceous <span class="hlt">aerosols</span>, focusing on <span class="hlt">aerosol</span> from fossil fuel and biofuel. Because <span class="hlt">aerosol</span> lifetime is seasonal, ignoring the seasonality of sources such as residential biofuel may introduce a bias in <span class="hlt">aerosol</span> burden and therefore in predicted climate forcing. We present a global emission inventory of carbonaceous <span class="hlt">aerosols</span> with seasonality, and simulate atmospheric concentrations using the Community Atmosphere Model (CAM). We discuss where and when the seasonality of emissions and atmospheric processes has strong effects on atmospheric burden, lifetime, climate forcing and <span class="hlt">aerosol</span> optical depth (AOD). Previous work has shown that <span class="hlt">aerosol</span> forcing is higher in summer than in winter, and has identified the importance of <span class="hlt">aerosol</span> above cloud in determining black carbon forcing. We show that predicted cloud height is a very important factor in determining normalized radiative forcing (forcing per mass), especially in summer. This can affect the average summer radiative forcing by nearly 50%. Removal by cloud droplets is the dominant atmospheric cleansing mechanism for carbonaceous <span class="hlt">aerosols</span>. We demonstrate the modeled seasonality of removal processes and compare the importance of scavenging by warm and cold clouds. Both types of clouds contribute significantly to <span class="hlt">aerosol</span> removal. We estimate uncertainty in direct radiative forcing due to scavenging by tagging the <span class="hlt">aerosol</span> which has experienced cloud interactions. Finally, seasonal variations offer an opportunity to assess modeled processes when a single process dominates variability. We identify regions where <span class="hlt">aerosol</span></p> </li> </ol> <div class="pull-right"> <ul class="pagination"> <li><a href="#" onclick='return showDiv("page_1");'>«</a></li> <li><a href="#" onclick='return showDiv("page_11");'>11</a></li> <li><a href="#" onclick='return showDiv("page_12");'>12</a></li> <li class="active"><span>13</span></li> <li><a href="#" onclick='return showDiv("page_14");'>14</a></li> <li><a href="#" onclick='return showDiv("page_15");'>15</a></li> <li><a href="#" onclick='return showDiv("page_25");'>»</a></li> </ul> </div> </div><!-- col-sm-12 --> </div><!-- row --> </div><!-- page_13 --> <div id="page_14" class="hiddenDiv"> <div class="row"> <div class="col-sm-12"> <div class="pull-right"> <ul class="pagination"> <li><a href="#" onclick='return showDiv("page_1");'>«</a></li> <li><a href="#" onclick='return showDiv("page_12");'>12</a></li> <li><a href="#" onclick='return showDiv("page_13");'>13</a></li> <li class="active"><span>14</span></li> <li><a href="#" onclick='return showDiv("page_15");'>15</a></li> <li><a href="#" onclick='return showDiv("page_16");'>16</a></li> <li><a href="#" onclick='return showDiv("page_25");'>»</a></li> </ul> </div> </div> </div> <div class="row"> <div class="col-sm-12"> <ol class="result-class" start="261"> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20140010652','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20140010652"><span>A FIB/TEM/Nanosims Study of a Wark-Lovering Rim on an Allende <span class="hlt">CAI</span></span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Keller, L. P.; Needham, A. W.; Messenger, S.</p> <p>2014-01-01</p> <p>Ca- Al-rich inclusions (<span class="hlt">CAIs</span>) are commonly surrounded by Wark-Lovering (WL) rims - thin (approx. 50 micrometers) multilayered sequences - whose mineralogy is dominated by high temperature minerals similar to those that occur in the cores of <span class="hlt">CAIs</span> [1]. The origins of these WL rims involved high temperature events in the early nebula such as condensation, flashheating or reaction with a nebular reservoir, or combinations of these processes. These rims formed after <span class="hlt">CAI</span> formation but prior to accretion into their parent bodies. We have undertaken a coordinated mineralogical and isotopic study of WL rims to determine the formation conditions of the individual layers and to constrain the isotopic reservoirs they interacted with during their history. We focus here on the spinel layer, the first-formed highest- temperature layer in the WL rim sequence. Results and Discussion: We have performed mineralogical, chemical and isotopic analyses of an unusual ultrarefractory inclusion from the Allende CV3 chondrite (SHAL) consisting of an approx. 500 micrometers long single crystal of hibonite and co-existing coarsegrained perovskite. SHAL is partially surrounded by WL rim. We previously reported on the mineralogy, isotopic compositions and trace elements in SHAL [2-4]. The spinel layer in the WL rim is present only on the hibonite and terminates abruptly at the contact with the coarse perovskite. This simple observation shows that the spinel layer is not a condensate in this case (otherwise spinel would have condensed on the perovskite as well). The spinel layer appears to have formed by gas-phase corrosion of the hibonite by Mg-rich vapors such that the spinel layer grew at the expense of the hibonite. We also found that the spinel layer has the same 16Orich composition as the hibonite. The spinel layer is polycrystalline and individual crystals do not show a crystallographic relationship with the hibonite. An Al-diopside layer overlies the spinel layer, and is present on both</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.ncbi.nlm.nih.gov/pubmed/29209800','PUBMED'); return false;" href="https://www.ncbi.nlm.nih.gov/pubmed/29209800"><span>Long-term variations of <span class="hlt">aerosol</span> optical depth and <span class="hlt">aerosol</span> radiative forcing over Iran based on satellite and AERONET data.</span></a></p> <p><a target="_blank" href="https://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pubmed">PubMed</a></p> <p>Arkian, F; Nicholson, S E</p> <p>2017-12-01</p> <p>In this study, three different sensors of satellites including the Moderate Resolution <span class="hlt">Imaging</span> Spectroradiometer (MODIS), Multi-angle <span class="hlt">Imaging</span> SpectroRadiometer (MISR), and Total Ozone Mapping Spectrometer (TOMS) were used to study spatial and temporal variations of <span class="hlt">aerosols</span> over ten populated cities in Iran. Also, the Hybrid Single-Particle Lagrangian Integrated Trajectory (HYSPLIT) model was used for analyzing the origins of air masses and their trajectory in the area. An increasing trend in <span class="hlt">aerosol</span> concentration was observed in the most studied cities in Iran during 1979-2016. The cities in the western part of Iran had the highest annual mean of <span class="hlt">aerosol</span> concentration. The highest <span class="hlt">aerosol</span> optical depth (AOD) value (0.76 ± 0.51) was recorded in May 2012 over Ahvaz, and the lowest value (0.035 ± 0.27) was recorded in December 2013 over Tabriz. After Ahvaz, the highest AOD value was found over Tehran (annual mean 0.11 ± 0.20). The results show that AOD increases with increasing industrial activities, but the increased frequency of <span class="hlt">aerosols</span> due to land degradation and desertification is more powerful in Iran. The trajectory analysis by the HYSPLIT model showed that the air masses come from Egypt, Syria, and Lebanon and passed over the Iraq and then reached to Iran during summer. <span class="hlt">Aerosol</span> radiative forcing (ARF) has been analyzed for Zanjan (<span class="hlt">Aerosol</span> Robotic Network site) during 2010-2013. The ARF at surface and top of the atmosphere was found to be ranging from - 79 to - 10W m -2 (average - 33.45 W m -2 ) and from - 25 to 6 W m -2 (average - 12.80 W m -2 ), respectively.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20030102194','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20030102194"><span>The MODIS <span class="hlt">Aerosol</span> Algorithm, Products and Validation</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Remer, L. A.; Kaufman, Y. J.; Tanre, D.; Mattoo, S.; Chu, D. A.; Martins, J. V.; Li, R.-R.; Ichoku, C.; Levy, R. C.; Kleidman, R. G.</p> <p>2003-01-01</p> <p>The MODerate resolution <span class="hlt">Imaging</span> Spectroradiometer (MODIS) aboard both NASA's Terra and Aqua satellites is making near global daily observations of the earth in a wide spectral range. These measurements are used to derive spectral <span class="hlt">aerosol</span> optical thickness and <span class="hlt">aerosol</span> size parameters over both land and ocean. The <span class="hlt">aerosol</span> products available over land include <span class="hlt">aerosol</span> optical thickness at three visible wavelengths, a measure of the fraction of <span class="hlt">aerosol</span> optical thickness attributed to the fine mode and several derived parameters including reflected spectral solar flux at top of atmosphere. Over ocean, the <span class="hlt">aerosol</span> optical thickness is provided in seven wavelengths from 0.47 microns to 2.13 microns. In addition, quantitative <span class="hlt">aerosol</span> size information includes effective radius of the <span class="hlt">aerosol</span> and quantitative fraction of optical thickness attributed to the fine mode. Spectral <span class="hlt">aerosol</span> flux, mass concentration and number of cloud condensation nuclei round out the list of available <span class="hlt">aerosol</span> products over the ocean. The spectral optical thickness and effective radius of the <span class="hlt">aerosol</span> over the ocean are validated by comparison with two years of AERONET data gleaned from 133 AERONET stations. 8000 MODIS <span class="hlt">aerosol</span> retrievals colocated with AERONET measurements confirm that one-standard deviation of MODIS optical thickness retrievals fall within the predicted uncertainty of delta tauapproximately equal to plus or minus 0.03 plus or minus 0.05 tau over ocean and delta tay equal to plus or minus 0.05 plus or minus 0.15 tau over land. 271 MODIS <span class="hlt">aerosol</span> retrievals co-located with AERONET inversions at island and coastal sites suggest that one-standard deviation of MODIS effective radius retrievals falls within delta r_eff approximately equal to 0.11 microns. The accuracy of the MODIS retrievals suggests that the product can be used to help narrow the uncertainties associated with <span class="hlt">aerosol</span> radiative forcing of global climate.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://ntrs.nasa.gov/search.jsp?R=20020081319&hterms=usher&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D30%26Ntt%3Dusher','NASA-TRS'); return false;" href="https://ntrs.nasa.gov/search.jsp?R=20020081319&hterms=usher&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D30%26Ntt%3Dusher"><span>Global <span class="hlt">Aerosol</span> Remote Sensing from MODIS</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Ichoku, Charles; Kaufman, Yoram J.; Remer, Lorraine A.; Chu, D. Allen; Mattoo, Shana; Tanre, Didier; Levy, Robert; Li, Rong-Rong; Martins, Jose V.; Lau, William K. M. (Technical Monitor)</p> <p>2002-01-01</p> <p>The physical characteristics, composition, abundance, spatial distribution and dynamics of global <span class="hlt">aerosols</span> are still very poorly known, and new data from satellite sensors have long been awaited to improve current understanding and to give a boost to the effort in future climate predictions. The derivation of <span class="hlt">aerosol</span> parameters from the MODerate resolution <span class="hlt">Imaging</span> Spectro-radiometer (MODIS) sensors aboard the Earth Observing System (EOS) Terra and Aqua polar-orbiting satellites ushers in a new era in <span class="hlt">aerosol</span> remote sensing from space. Terra and Aqua were launched on December 18, 1999 and May 4, 2002 respectively, with daytime equator crossing times of approximately 10:30 am and 1:30 pm respectively. Several <span class="hlt">aerosol</span> parameters are retrieved at 10-km spatial resolution (level 2) from MODIS daytime data. The MODIS <span class="hlt">aerosol</span> algorithm employs different approaches to retrieve parameters over land and ocean surfaces, because of the inherent differences in the solar spectral radiance interaction with these surfaces. The parameters retrieved include: <span class="hlt">aerosol</span> optical thickness (AOT) at 0.47, 0.55 and 0.66 micron wavelengths over land, and at 0.47, 0.55, 0.66, 0.87, 1.2, 1.6, and 2.1 micron over ocean; Angstrom exponent over land and ocean; and effective radii, and the proportion of AOT contributed by the small mode <span class="hlt">aerosols</span> over ocean. To ensure the quality of these parameters, a substantial part of the Terra-MODIS <span class="hlt">aerosol</span> products were validated globally and regionally, based on cross correlation with corresponding parameters derived from ground-based measurements from AERONET (<span class="hlt">AErosol</span> RObotic NETwork) sun photometers. Similar validation efforts are planned for the Aqua-MODIS <span class="hlt">aerosol</span> products. The MODIS level 2 <span class="hlt">aerosol</span> products are operationally aggregated to generate global daily, eight-day (weekly), and monthly products at one-degree spatial resolution (level 3). MODIS <span class="hlt">aerosol</span> data are used for the detailed study of local, regional, and global <span class="hlt">aerosol</span> concentration</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2010SPIE.7861E..0DL','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2010SPIE.7861E..0DL"><span>Remote sensing of atmospheric <span class="hlt">aerosol</span> and ocean color for the COMS/GOCI</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Lee, Kwon-Ho; Kim, Young J.; Kim, Gwan C.; Wong, Man S.; Ahn, Yu H.</p> <p>2010-10-01</p> <p>The Geostationary Ocean Color <span class="hlt">Imager</span> (GOCI) on board the Communication Ocean Meteorological Satellite (COMS) requires accurate atmospheric correction for the purpose of qualified ocean remote sensing. Since its eight bands are affected by atmospheric constituents such as gases, molecules and atmospheric <span class="hlt">aerosols</span>, understanding of aerosolradiation interactions is needed. <span class="hlt">Aerosol</span> optical properties based on sun-photometer measurements are used to analysis <span class="hlt">aerosol</span> optical thickness (AOT) under various <span class="hlt">aerosol</span> type and loadings. It is found that the choice of <span class="hlt">aerosol</span> type makes little different in AOT retrieval for AOT<0.2. These results will be useful for <span class="hlt">aerosol</span> retrieval of COMS/GOCI data processing.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://ntrs.nasa.gov/search.jsp?R=20100033710&hterms=paradise+papers&qs=N%3D0%26Ntk%3DAll%26Ntx%3Dmode%2Bmatchall%26Ntt%3Dparadise%2Bpapers','NASA-TRS'); return false;" href="https://ntrs.nasa.gov/search.jsp?R=20100033710&hterms=paradise+papers&qs=N%3D0%26Ntk%3DAll%26Ntx%3Dmode%2Bmatchall%26Ntt%3Dparadise%2Bpapers"><span>MISR <span class="hlt">Aerosol</span> Product Attributes and Statistical Comparisons with MODIS</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Kahn, Ralph A.; Nelson, David L.; Garay, Michael J.; Levy, Robert C.; Bull, Michael A.; Diner, David J.; Martonchik, John V.; Paradise, Susan R.; Hansen, Earl G.; Remer, Lorraine A.</p> <p>2009-01-01</p> <p>In this paper, Multi-angle <span class="hlt">Imaging</span> SpectroRadiometer (MISR) <span class="hlt">aerosol</span> product attributes are described, including geometry and algorithm performance flags. Actual retrieval coverage is mapped and explained in detail using representative global monthly data. Statistical comparisons are made with coincident <span class="hlt">aerosol</span> optical depth (AOD) and Angstrom exponent (ANG) retrieval results from the Moderate Resolution <span class="hlt">Imaging</span> Spectroradiometer (MODIS) instrument. The relationship between these results and the ones previously obtained for MISR and MODIS individually, based on comparisons with coincident ground-truth observations, is established. For the data examined, MISR and MODIS each obtain successful <span class="hlt">aerosol</span> retrievals about 15% of the time, and coincident MISR-MODIS <span class="hlt">aerosol</span> retrievals are obtained for about 6%-7% of the total overlap region. Cloud avoidance, glint and oblique-Sun exclusions, and other algorithm physical limitations account for these results. For both MISR and MODIS, successful retrievals are obtained for over 75% of locations where attempts are made. Where coincident AOD retrievals are obtained over ocean, the MISR-MODIS correlation coefficient is about 0.9; over land, the correlation coefficient is about 0.7. Differences are traced to specific known algorithm issues or conditions. Over-ocean ANG comparisons yield a correlation of 0.67, showing consistency in distinguishing <span class="hlt">aerosol</span> air masses dominated by coarse-mode versus fine-mode particles. Sampling considerations imply that care must be taken when assessing monthly global <span class="hlt">aerosol</span> direct radiative forcing and AOD trends with these products, but they can be used directly for many other applications, such as regional AOD gradient and <span class="hlt">aerosol</span> air mass type mapping and <span class="hlt">aerosol</span> transport model validation. Users are urged to take seriously the published product data-quality statements.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2016ACP....1613853G','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2016ACP....1613853G"><span>Spatiotemporal variability and contribution of different <span class="hlt">aerosol</span> types to the <span class="hlt">aerosol</span> optical depth over the Eastern Mediterranean</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Georgoulias, Aristeidis K.; Alexandri, Georgia; Kourtidis, Konstantinos A.; Lelieveld, Jos; Zanis, Prodromos; Pöschl, Ulrich; Levy, Robert; Amiridis, Vassilis; Marinou, Eleni; Tsikerdekis, Athanasios</p> <p>2016-11-01</p> <p>This study characterizes the spatiotemporal variability and relative contribution of different types of <span class="hlt">aerosols</span> to the <span class="hlt">aerosol</span> optical depth (AOD) over the Eastern Mediterranean as derived from MODIS (Moderate Resolution <span class="hlt">Imaging</span> Spectroradiometer) Terra (March 2000-December 2012) and Aqua (July 2002-December 2012) satellite instruments. For this purpose, a 0.1° × 0.1° gridded MODIS dataset was compiled and validated against sun photometric observations from the <span class="hlt">AErosol</span> RObotic NETwork (AERONET). The high spatial resolution and long temporal coverage of the dataset allows for the determination of local hot spots like megacities, medium-sized cities, industrial zones and power plant complexes, seasonal variabilities and decadal averages. The average AOD at 550 nm (AOD550) for the entire region is ˜ 0.22 ± 0.19, with maximum values in summer and seasonal variabilities that can be attributed to precipitation, photochemical production of secondary organic <span class="hlt">aerosols</span>, transport of pollution and smoke from biomass burning in central and eastern Europe and transport of dust from the Sahara and the Middle East. The MODIS data were analyzed together with data from other satellite sensors, reanalysis projects and a chemistry-<span class="hlt">aerosol</span>-transport model using an optimized algorithm tailored for the region and capable of estimating the contribution of different <span class="hlt">aerosol</span> types to the total AOD550. The spatial and temporal variability of anthropogenic, dust and fine-mode natural <span class="hlt">aerosols</span> over land and anthropogenic, dust and marine <span class="hlt">aerosols</span> over the sea is examined. The relative contribution of the different <span class="hlt">aerosol</span> types to the total AOD550 exhibits a low/high seasonal variability over land/sea areas, respectively. Overall, anthropogenic <span class="hlt">aerosols</span>, dust and fine-mode natural <span class="hlt">aerosols</span> account for ˜ 51, ˜ 34 and ˜ 15 % of the total AOD550 over land, while, anthropogenic <span class="hlt">aerosols</span>, dust and marine <span class="hlt">aerosols</span> account ˜ 40, ˜ 34 and ˜ 26 % of the total AOD550 over the sea, based on</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20170010207','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20170010207"><span>Spatiotemporal Variability and Contribution of Different <span class="hlt">Aerosol</span> Types to the <span class="hlt">Aerosol</span> Optical Depth over the Eastern Mediterranean</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Georgoulias, Aristeidis K.; Alexandri, Georgia; Kourtidis, Konstantinos A.; Lelieveld, Jos; Zanis, Prodromos; Poeschl, Ulrich; Levy, Robert; Amiridis, Vassilis; Marinou, Eleni; Tsikerdekis, Athanasios</p> <p>2016-01-01</p> <p>This study characterizes the spatiotemporal variability and relative contribution of different types of <span class="hlt">aerosols</span> to the <span class="hlt">aerosol</span> optical depth (AOD) over the Eastern Mediterranean as derived from MODIS (Moderate Resolution <span class="hlt">Imaging</span> Spectroradiometer) Terra (March 2000-December 2012) and Aqua (July 2002-December 2012) satellite instruments. For this purpose, a 0.1deg × 0.1deg gridded MODIS dataset was compiled and validated against sun photometric observations from the <span class="hlt">AErosol</span> RObotic NETwork (AERONET). The high spatial resolution and long temporal coverage of the dataset allows for the determination of local hot spots like megacities, medium-sized cities, industrial zones and power plant complexes, seasonal variabilities and decadal averages. The average AOD at 550 nm (AOD550) for the entire region is approx. 0.22 +/- 0.19, with maximum values in summer and seasonal variabilities that can be attributed to precipitation, photochemical production of secondary organic <span class="hlt">aerosols</span>, transport of pollution and smoke from biomass burning in central and eastern Europe and transport of dust from the Sahara and the Middle East. The MODIS data were analyzed together with data from other satellite sensors, reanalysis projects and a chemistry-<span class="hlt">aerosol</span>-transport model using an optimized algorithm tailored for the region and capable of estimating the contribution of different <span class="hlt">aerosol</span> types to the total AOD550. The spatial and temporal variability of anthropogenic, dust and fine-mode natural <span class="hlt">aerosols</span> over land and anthropogenic, dust and marine <span class="hlt">aerosols</span> over the sea is examined. The relative contribution of the different <span class="hlt">aerosol</span> types to the total AOD550 exhibits a low/high seasonal variability over land/sea areas, respectively. Overall, anthropogenic <span class="hlt">aerosols</span>, dust and fine-mode natural <span class="hlt">aerosols</span> account for approx. 51, approx. 34 and approx. 15 % of the total AOD550 over land, while, anthropogenic <span class="hlt">aerosols</span>, dust and marine <span class="hlt">aerosols</span> account approx. 40, approx. 34 and approx. 26 % of</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2011AtmRe..99..579W','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2011AtmRe..99..579W"><span>An operational MODIS <span class="hlt">aerosol</span> retrieval algorithm at high spatial resolution, and its application over a complex urban region</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Wong, Man Sing; Nichol, Janet E.; Lee, Kwon Ho</p> <p>2011-03-01</p> <p><span class="hlt">Aerosol</span> retrieval algorithms for the MODerate Resolution <span class="hlt">Imaging</span> Spectroradiometer (MODIS) have been developed to estimate <span class="hlt">aerosol</span> and microphysical properties of the atmosphere, which help to address <span class="hlt">aerosol</span> climatic issues at global scale. However, higher spatial resolution <span class="hlt">aerosol</span> products for urban areas have not been well-researched mainly due to the difficulty of differentiating <span class="hlt">aerosols</span> from bright surfaces in urban areas. Here, an <span class="hlt">aerosol</span> retrieval algorithm using the MODIS 500-m resolution bands is described, to retrieve <span class="hlt">aerosol</span> properties over Hong Kong and the Pearl River Delta region. The rationale of our technique is to first estimate the <span class="hlt">aerosol</span> reflectances by decomposing the top-of-atmosphere reflectances from surface reflectances and Rayleigh path reflectances. For the determination of surface reflectances, a Minimum Reflectance Technique (MRT) is used, and MRT <span class="hlt">images</span> are computed for different seasons. For conversion of <span class="hlt">aerosol</span> reflectance to <span class="hlt">aerosol</span> optical thickness (AOT), comprehensive Look Up Tables specific to the local region are constructed, which consider <span class="hlt">aerosol</span> properties and sun-viewing geometry in the radiative transfer calculations. Four local <span class="hlt">aerosol</span> types, namely coastal urban, polluted urban, dust, and heavy pollution, were derived using cluster analysis on 3 years of AERONET measurements in Hong Kong. The resulting 500 m AOT <span class="hlt">images</span> were found to be highly correlated with ground measurements from the AERONET (r2 = 0.767) and Microtops II sunphotometers (r2 = 0.760) in Hong Kong. This study further demonstrates the application of the fine resolution AOT <span class="hlt">images</span> for monitoring inter-urban and intra-urban <span class="hlt">aerosol</span> distributions and the influence of trans-boundary flows. These applications include characterization of spatial patterns of AOT within the city, and detection of regional biomass burning sources.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://ntrs.nasa.gov/search.jsp?R=20040035547&hterms=fine+dust&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D80%26Ntt%3Dfine%2Bdust','NASA-TRS'); return false;" href="https://ntrs.nasa.gov/search.jsp?R=20040035547&hterms=fine+dust&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D80%26Ntt%3Dfine%2Bdust"><span>MODIS Retrieval of Dust <span class="hlt">Aerosol</span></span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Remer, Lorraine A.; Kaufman, Yoram J.; Tanre, Didier</p> <p>2003-01-01</p> <p>The MODerate resolution <span class="hlt">Imaging</span> Spectroradiometer (MODIS) currently aboard both the Terra and Aqua satellites produces a suite of products designed to characterize global <span class="hlt">aerosol</span> distribution, optical thickness and particle size. Never before has a space-borne instrument been able to provide such detailed information, operationally, on a nearly global basis every day. The three years of Terra-MODIS data have been validated by comparing with co-located AERONET observations of <span class="hlt">aerosol</span> optical thickness and derivations of <span class="hlt">aerosol</span> size parameters. Some 8000 comparison points located at 133 AERONET sites around the globe show that the MODIS <span class="hlt">aerosol</span> optical thickness retrievals are accurate to within the pre-launch expectations. However, the validation in regions dominated by desert dust is less accurate than in regions dominated by fine mode <span class="hlt">aerosol</span> or background marine sea salt. The discrepancy is most apparent in retrievals of <span class="hlt">aerosol</span> size parameters over ocean. In dust situations, the MODIS algorithm tends to under predict particle size because the reflectances at top of atmosphere measured by MODIS exhibit the stronger spectral signature expected by smaller particles. This pattern is consistent with the angular and spectral signature of non-spherical particles. All possible <span class="hlt">aerosol</span> models in the MODIS Look-Up Tables were constructed from Mie theory, assuming a spherical shape. Using a combination of MODIS and AERONET observations, in regimes dominated by desert dust, we construct phase functions, empirically, with no assumption of particle shape. These new phase functions are introduced into the MODIS algorithm, in lieu of the original options for large dust-like particles. The results will be analyzed and examined.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2018JGRD..123..380S','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2018JGRD..123..380S"><span>Satellite Ocean <span class="hlt">Aerosol</span> Retrieval (SOAR) Algorithm Extension to S-NPP VIIRS as Part of the "Deep Blue" <span class="hlt">Aerosol</span> Project</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Sayer, A. M.; Hsu, N. C.; Lee, J.; Bettenhausen, C.; Kim, W. V.; Smirnov, A.</p> <p>2018-01-01</p> <p>The Suomi National Polar-Orbiting Partnership (S-NPP) satellite, launched in late 2011, carries the Visible Infrared <span class="hlt">Imaging</span> Radiometer Suite (VIIRS) and several other instruments. VIIRS has similar characteristics to prior satellite sensors used for <span class="hlt">aerosol</span> optical depth (AOD) retrieval, allowing the continuation of space-based <span class="hlt">aerosol</span> data records. The Deep Blue algorithm has previously been applied to retrieve AOD from Sea-viewing Wide Field-of-view Sensor (SeaWiFS) and Moderate Resolution <span class="hlt">Imaging</span> Spectroradiometer (MODIS) measurements over land. The SeaWiFS Deep Blue data set also included a SeaWiFS Ocean <span class="hlt">Aerosol</span> Retrieval (SOAR) algorithm to cover water surfaces. As part of NASA's VIIRS data processing, Deep Blue is being applied to VIIRS data over land, and SOAR has been adapted from SeaWiFS to VIIRS for use over water surfaces. This study describes SOAR as applied in version 1 of NASA's S-NPP VIIRS Deep Blue data product suite. Several advances have been made since the SeaWiFS application, as well as changes to make use of the broader spectral range of VIIRS. A preliminary validation against Maritime <span class="hlt">Aerosol</span> Network (MAN) measurements suggests a typical uncertainty on retrieved 550 nm AOD of order ±(0.03+10%), comparable to existing SeaWiFS/MODIS <span class="hlt">aerosol</span> data products. Retrieved Ångström exponent and fine-mode AOD fraction are also well correlated with MAN data, with small biases and uncertainty similar to or better than SeaWiFS/MODIS products.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2016EGUGA..1815332M','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2016EGUGA..1815332M"><span><span class="hlt">Aerosol</span> typing - key information from <span class="hlt">aerosol</span> studies</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Mona, Lucia; Kahn, Ralph; Papagiannopoulos, Nikolaos; Holzer-Popp, Thomas; Pappalardo, Gelsomina</p> <p>2016-04-01</p> <p><span class="hlt">Aerosol</span> typing is a key source of <span class="hlt">aerosol</span> information from ground-based and satellite-borne instruments. Depending on the specific measurement technique, <span class="hlt">aerosol</span> typing can be used as input for retrievals or represents an output for other applications. Typically <span class="hlt">aerosol</span> retrievals require some a priori or external <span class="hlt">aerosol</span> type information. The accuracy of the derived <span class="hlt">aerosol</span> products strongly depends on the reliability of these assumptions. Different sensors can make use of different <span class="hlt">aerosol</span> type inputs. A critical review and harmonization of these procedures could significantly reduce related uncertainties. On the other hand, satellite measurements in recent years are providing valuable information about the global distribution of <span class="hlt">aerosol</span> types, showing for example the main source regions and typical transport paths. Climatological studies of <span class="hlt">aerosol</span> load at global and regional scales often rely on inferred <span class="hlt">aerosol</span> type. There is still a high degree of inhomogeneity among satellite <span class="hlt">aerosol</span> typing schemes, which makes the use different sensor datasets in a consistent way difficult. Knowledge of the 4d <span class="hlt">aerosol</span> type distribution at these scales is essential for understanding the impact of different <span class="hlt">aerosol</span> sources on climate, precipitation and air quality. All this information is needed for planning upcoming <span class="hlt">aerosol</span> emissions policies. The exchange of expertise and the communication among satellite and ground-based measurement communities is fundamental for improving long-term dataset consistency, and for reducing <span class="hlt">aerosol</span> type distribution uncertainties. <span class="hlt">Aerosol</span> typing has been recognized as one of its high-priority activities of the AEROSAT (International Satellite <span class="hlt">Aerosol</span> Science Network, http://aero-sat.org/) initiative. In the AEROSAT framework, a first critical review of <span class="hlt">aerosol</span> typing procedures has been carried out. The review underlines the high heterogeneity in many aspects: approach, nomenclature, assumed number of components and parameters used for the</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.osti.gov/biblio/20919396-experimental-study-combustion-characteristics-scci-cai-based-direct-injection-gasoline-engine','SCIGOV-STC'); return false;" href="https://www.osti.gov/biblio/20919396-experimental-study-combustion-characteristics-scci-cai-based-direct-injection-gasoline-engine"><span>An experimental study of the combustion characteristics in SCCI and <span class="hlt">CAI</span> based on direct-injection gasoline engine</span></a></p> <p><a target="_blank" href="http://www.osti.gov/search">DOE Office of Scientific and Technical Information (OSTI.GOV)</a></p> <p>Lee, C.H.; Lee, K.H.</p> <p>2007-08-15</p> <p>Emissions remain a critical issue affecting engine design and operation, while energy conservation is becoming increasingly important. One approach to favorably address these issues is to achieve homogeneous charge combustion and stratified charge combustion at lower peak temperatures with a variable compression ratio, a variable intake temperature and a trapped rate of the EGR using NVO (negative valve overlap). This experiment was attempted to investigate the origins of these lower temperature auto-ignition phenomena with SCCI and <span class="hlt">CAI</span> using gasoline fuel. In case of SCCI, the combustion and emission characteristics of gasoline-fueled stratified-charge compression ignition (SCCI) engine according to intake temperaturemore » and compression ratio was examined. We investigated the effects of air-fuel ratio, residual EGR rate and injection timing on the <span class="hlt">CAI</span> combustion area. In addition, the effect of injection timing on combustion factors such as the start of combustion, its duration and its heat release rate was also investigated. (author)« less</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2016AGUFM.A53C0295W','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2016AGUFM.A53C0295W"><span>Characterize <span class="hlt">Aerosols</span> from MODIS/MISR/OMI/MERRA-2: Dynamic <span class="hlt">Image</span> Browse Perspective</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Wei, J. C.; Yang, W.; Shen, S.; Zhao, P.; Albayrak, A.; Johnson, J. E.; Kempler, S. J.; Pham, L.</p> <p>2016-12-01</p> <p>Among the known atmospheric constituents, <span class="hlt">aerosols</span> still represent the greatest uncertainty in climate research. To understand the uncertainty is to bring altogether of observational (in-situ and remote sensing) and modeling datasets and inter-compare them synergistically for a wide variety of applications that can bring far-reaching benefits to the science community and the broader society. These benefits can best be achieved if these earth science data (satellite and modeling) are well utilized and interpreted. Unfortunately, this is not always the case, despite the abundance and relative maturity of numerous satellite-borne sensors routinely measure <span class="hlt">aerosols</span>. There is often disagreement between similar <span class="hlt">aerosol</span> parameters retrieved from different sensors, leaving users confused as to which sensors to trust for answering important science questions about the distribution, properties, and impacts of <span class="hlt">aerosols</span>. NASA Goddard Earth Sciences Data and Information Services Center (GES DISC) have developed multiple MAPSS (Multi-sensor <span class="hlt">Aerosol</span> Products Sampling System) applications as a part of Giovanni (Geospatial Interactive Online Visualization and Analysis Interface) data visualization and analysis tool since 2007. The MAPSS database provides spatio-temporal statistics for multiple spatial spaceborne Level 2 <span class="hlt">aerosol</span> products (MODIS Terra, MODIS Aqua, MISR, POLDER, OMI, CALIOP, SeaWiFS Deep Blue, and VIIRS) sampled over AERONET ground stations. In this presentation, I will demonstrate a new visualization service (NASA Level 2 Data Quality Visualization, DQViz) supporting various visualization and data accessing capabilities from satellite Level 2 (MODIS/MISR/OMI) and long term assimilated <span class="hlt">aerosols</span> from NASA Modern-Era Retrospective analysis for Research and Applications, Version 2 (MERRA-2 displaying at their own native physical-retrieved spatial resolution. Functionality will include selecting data sources (e.g., multiple parameters under the same measurement), defining</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2018JGRD..123.3688D','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2018JGRD..123.3688D"><span><span class="hlt">Aerosol</span> Optical Depth Over India</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>David, Liji Mary; Ravishankara, A. R.; Kodros, John K.; Venkataraman, Chandra; Sadavarte, Pankaj; Pierce, Jeffrey R.; Chaliyakunnel, Sreelekha; Millet, Dylan B.</p> <p>2018-04-01</p> <p>Tropospheric <span class="hlt">aerosol</span> optical depth (AOD) over India was simulated by Goddard Earth Observing System (GEOS)-Chem, a global 3-D chemical-transport model, using SMOG (Speciated Multi-pOllutant Generator from Indian Institute of Technology Bombay) and GEOS-Chem (GC) (current inventories used in the GEOS-Chem model) inventories for 2012. The simulated AODs were 80% (SMOG) and 60% (GC) of those measured by the satellites (Moderate Resolution <span class="hlt">Imaging</span> Spectroradiometer and Multi-angle <span class="hlt">Imaging</span> SpectroRadiometer). There is no strong seasonal variation in AOD over India. The peak AOD values are observed/simulated during summer. The simulated AOD using SMOG inventory has particulate black and organic carbon AOD higher by a factor 5 and 3, respectively, compared to GC inventory. The model underpredicted coarse-mode AOD but agreed for fine-mode AOD with <span class="hlt">Aerosol</span> Robotic Network data. It captured dust only over Western India, which is a desert, and not elsewhere, probably due to inaccurate dust transport and/or noninclusion of other dust sources. The calculated AOD, after dust correction, showed the general features in its observed spatial variation. Highest AOD values were observed over the Indo-Gangetic Plain followed by Central and Southern India with lowest values in Northern India. Transport of <span class="hlt">aerosols</span> from Indo-Gangetic Plain and Central India into Eastern India, where emissions are low, is significant. The major contributors to total AOD over India are inorganic <span class="hlt">aerosol</span> (41-64%), organic carbon (14-26%), and dust (7-32%). AOD over most regions of India is a factor of 5 or higher than over the United States.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017JPhCS.852a2009E','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017JPhCS.852a2009E"><span>Satellite observation analysis of <span class="hlt">aerosols</span> loading effect over Monrovia-Liberia</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Emetere, M. E.; Esisio, F.; Oladapo, F.</p> <p>2017-05-01</p> <p>The effect of <span class="hlt">aerosols</span> loading most often results in <span class="hlt">aerosols</span> retention in the atmosphere. Aside the health hazards of <span class="hlt">aerosol</span> retention, its effect on climate change are visible. In this research, it was proposed that the effect of <span class="hlt">aerosol</span> retention also affects rain pattern. The Tropical Rainfall Measuring Mission (TRMM) layer 3 observations and the multi-<span class="hlt">imaging</span> spectro-reflectometer (MISR) was used for the study. The <span class="hlt">aerosols</span> loading over were investigated using sixteen years satellite observation in Monrovia-Liberia. Its effect on the rain rate over the region was documented. The results show that <span class="hlt">aerosol</span> loading over the region is high and may have effect on farming in the nearest future. It was affirmed that the scanty AOD data was as a result of the rain rate that is higher within May and October.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2005SPIE.5979..582C','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2005SPIE.5979..582C"><span><span class="hlt">Aerosol</span> radiative forcing from GEO satellite data over land surfaces</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Costa, Maria J.; Silva, Ana M.</p> <p>2005-10-01</p> <p><span class="hlt">Aerosols</span> direct and indirect effects on the Earth's climate are widely recognized but have yet to be adequately quantified. Difficulties arise due to the very high spatial and temporal variability of <span class="hlt">aerosols</span>, which is a major cause of uncertainties in radiative forcing studies. The effective monitoring of the global <span class="hlt">aerosol</span> distribution is only made possible by satellite monitoring and this is the reason why the interest in <span class="hlt">aerosol</span> observations from satellite passive radiometers is steadily increasing. From the point of view of the study of land surfaces, the atmosphere with its constituents represents an obscurant whose effects should be as much as possible eliminated, being this process sometimes referred to as atmospheric correction. In absence of clouds and using spectral intervals where gas absorption can be avoided to a great extent, only the <span class="hlt">aerosol</span> effect remains to be corrected. The monitoring of the <span class="hlt">aerosol</span> particles present in the atmosphere is then crucial to succeed in doing an accurate atmospheric correction, otherwise the surface properties may be inadequately characterised. However, the atmospheric correction over land surfaces turns out to be a difficult task since surface reflection competes with the atmospheric component of the signal. On the other hand, a single mean pre-established <span class="hlt">aerosol</span> characterisation would not be sufficient for this purpose due to very high spatial and temporal variability of <span class="hlt">aerosols</span> and their unpredictability, especially what concerns particulary intense "events" such as biomass burning and forest fires, desert dust episodes and volcanic eruptions. In this context, an operational methodology has been developed at the University of Evora - Evora Geophysics Centre (CGE), in the framework of the Satellite Application Facility for Land Surface Analysis - Land SAF, to derive an <span class="hlt">Aerosol</span> Product from the Spinning Enhanced Visible and Infrared <span class="hlt">Imager</span> (SEVIRI) data, flying on the Geostationary (GEO) satellite system Meteosat-8</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://ntrs.nasa.gov/search.jsp?R=GL-2002-002182&hterms=water+pollution&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D90%26Ntt%3Dwater%2Bpollution','NASA-TRS'); return false;" href="https://ntrs.nasa.gov/search.jsp?R=GL-2002-002182&hterms=water+pollution&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D90%26Ntt%3Dwater%2Bpollution"><span><span class="hlt">Aerosol</span> pollution over Northern India and Bangladesh</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p></p> <p>2002-01-01</p> <p>The skies over Northern India are filled with a thick soup of <span class="hlt">aerosol</span> particles all along the southern edge of the Himalayan Mountains, and streaming southward over Bangladesh and the Bay of Bengal. Notice that the air over the Tibetan Plateau to the north of the Himalayas is very clear, whereas the view of the land surface south of the mountains is obstructed by the brownish haze. Most of this air pollution comes from human activities. The <span class="hlt">aerosol</span> over this region is notoriously rich in sulfates, nitrates, organic and black carbon, and fly ash. These particles not only represent a health hazard to those people living in the region, but scientists have also recently found that they can have a significant impact on the region's hydrological cycle and climate (click to read the relevant NASA press release). This true-color <span class="hlt">image</span> was acquired on December 4, 2001, by the Moderate-resolution <span class="hlt">Imaging</span> Spectroradiometer (MODIS), flying aboard NASA's Terra satellite. It is interesting to compare the <span class="hlt">image</span> above with this earlier MODIS <span class="hlt">image</span> over the region, acquired on October 23, 2001. Notice the difference in the clarity of the air over the region in the earlier <span class="hlt">image</span>. Under the thick plume of <span class="hlt">aerosol</span>, the Brahmaputra (upper right) and Ganges Rivers are still visible. The many mouths of the Ganges have turned the northern waters of the Bay of Bengal a murky brown as they empty their sediment-laden waters into the bay. Toward the upper lefthand corner of the <span class="hlt">image</span>, there appears to be a fresh swath of snow on the ground just south of the Himalayas.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2015AGUFM.A33D0200C','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2015AGUFM.A33D0200C"><span>A multi-satellite analysis of the direct radiative effects of absorbing <span class="hlt">aerosols</span> above clouds</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Chang, Y. Y.; Christopher, S. A.</p> <p>2015-12-01</p> <p>Radiative effects of absorbing <span class="hlt">aerosols</span> above liquid water clouds in the southeast Atlantic as a function of fire sources are investigated using A-Train data coupled with the Visible Infrared <span class="hlt">Imaging</span> Radiometer Suite (VIIRS) onboard Suomi National Polar-orbiting Partnership (Suomi NPP). Both the VIIRS Active Fire product and the Aqua Moderate Resolution <span class="hlt">Imaging</span> Spectroradiometer (MODIS) Thermal Anomalies product (MYD14) are used to identify the biomass burning fire origin in southern Africa. The Cloud-<span class="hlt">Aerosol</span> Lidar with Orthogonal Polarization (CALIOP) are used to assess the <span class="hlt">aerosol</span> type, <span class="hlt">aerosol</span> altitude, and cloud altitude. We use back trajectory information, wind data, and the Fire Locating and Modeling of Burning Emissions (FLAMBE) product to infer the transportation of <span class="hlt">aerosols</span> from the fire source to the CALIOP swath in the southeast Atlantic during austral winter.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017ACP....1713849A','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017ACP....1713849A"><span>A study of 15-year <span class="hlt">aerosol</span> optical thickness and direct shortwave <span class="hlt">aerosol</span> radiative effect trends using MODIS, MISR, CALIOP and CERES</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Alfaro-Contreras, Ricardo; Zhang, Jianglong; Reid, Jeffrey S.; Christopher, Sundar</p> <p>2017-11-01</p> <p>By combining Collection 6 Moderate Resolution and <span class="hlt">Imaging</span> Spectroradiometer (MODIS) and Version 22 Multi-angle <span class="hlt">Imaging</span> Spectroradiometer (MISR) <span class="hlt">aerosol</span> products with Cloud and Earth's Radiant Energy System (CERES) flux products, the <span class="hlt">aerosol</span> optical thickness (AOT, at 0.55 µm) and shortwave (SW) <span class="hlt">aerosol</span> radiative effect (SWARE) trends are studied over ocean for the near-full Terra (2000-2015) and Aqua (2002-2015) data records. Despite differences in sampling methods, regional SWARE and AOT trends are highly correlated with one another. Over global oceans, weak SWARE (cloud-free SW flux) and AOT trends of 0.5-0.6 W m-2 (-0.5 to -0.6 W m-2) and 0.002 AOT decade-1 are found using Terra data. Near-zero AOT and SWARE trends are also found for using Aqua data, regardless of the angular distribution models (ADMs) used. Regionally, positive AOT and cloud-free SW flux (negative SWARE) trends are found over the Bay of Bengal, the Arabian Sea, the Arabian/Persian Gulf and the Red Sea, while statistically significant negative trends are derived over the Mediterranean Sea and the eastern US coast. In addition, the global mean instantaneous SW <span class="hlt">aerosol</span> direct forcing efficiencies are found to be ˜ -60 W m-2 AOT-1, with corresponding SWARE values of ˜ -7 W m-2 from both Aqua and Terra data, again regardless of CERES ADMs used. Regionally, SW <span class="hlt">aerosol</span> direct forcing efficiency values of ˜ -40 W m-2 AOT-1 are found over the southwest coast of Africa where smoke <span class="hlt">aerosol</span> particles dominate in summer. Larger (in magnitude) SW <span class="hlt">aerosol</span> direct forcing efficiency values of -50 to -80 W m-2 AOT-1 are found over several other dust- and pollutant-<span class="hlt">aerosol</span>-dominated regions. Lastly, the AOT and SWARE trends from this study are also intercompared with <span class="hlt">aerosol</span> trends (such as active-based ones) from several previous studies. Findings suggest that a cohesive understanding of the changing <span class="hlt">aerosol</span> skies can be achieved through the analysis of observations from both passive- and active</p> </li> </ol> <div class="pull-right"> <ul class="pagination"> <li><a href="#" onclick='return showDiv("page_1");'>«</a></li> <li><a href="#" onclick='return showDiv("page_12");'>12</a></li> <li><a href="#" onclick='return showDiv("page_13");'>13</a></li> <li class="active"><span>14</span></li> <li><a href="#" onclick='return showDiv("page_15");'>15</a></li> <li><a href="#" onclick='return showDiv("page_16");'>16</a></li> <li><a href="#" onclick='return showDiv("page_25");'>»</a></li> </ul> </div> </div><!-- col-sm-12 --> </div><!-- row --> </div><!-- page_14 --> <div id="page_15" class="hiddenDiv"> <div class="row"> <div class="col-sm-12"> <div class="pull-right"> <ul class="pagination"> <li><a href="#" onclick='return showDiv("page_1");'>«</a></li> <li><a href="#" onclick='return showDiv("page_13");'>13</a></li> <li><a href="#" onclick='return showDiv("page_14");'>14</a></li> <li class="active"><span>15</span></li> <li><a href="#" onclick='return showDiv("page_16");'>16</a></li> <li><a href="#" onclick='return showDiv("page_17");'>17</a></li> <li><a href="#" onclick='return showDiv("page_25");'>»</a></li> </ul> </div> </div> </div> <div class="row"> <div class="col-sm-12"> <ol class="result-class" start="281"> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20150019918','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20150019918"><span>Retrieving the Height of Smoke and Dust <span class="hlt">Aerosols</span> by Synergistic Use of VIIRS, OMPS, and CALIOP Observations</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Lee, Jaehwa; Hsu, N. Christina; Bettenhausen, Corey; Sayer, Andrew M.; Seftor, Colin J.; Jeong, Myeong-Jae</p> <p>2015-01-01</p> <p><span class="hlt">Aerosol</span> Single scattering albedo and Height Estimation (ASHE) algorithm was first introduced in Jeong and Hsu (2008) to provide <span class="hlt">aerosol</span> layer height as well as single scattering albedo (SSA) for biomass burning smoke <span class="hlt">aerosols</span>. One of the advantages of this algorithm was that the <span class="hlt">aerosol</span> layer height can be retrieved over broad areas, which had not been available from lidar observations only. The algorithm utilized <span class="hlt">aerosol</span> properties from three different satellite sensors, i.e., <span class="hlt">aerosol</span> optical depth (AOD) and Ångström exponent (AE) from Moderate Resolution <span class="hlt">Imaging</span> Spectroradiometer (MODIS), UV <span class="hlt">aerosol</span> index (UVAI) from Ozone Monitoring Instrument (OMI), and <span class="hlt">aerosol</span> layer height from Cloud-<span class="hlt">Aerosol</span> Lidar with Orthogonal Polarization (CALIOP). Here, we extend the application of the algorithm to Visible Infrared <span class="hlt">Imaging</span> Radiometer Suite (VIIRS) and Ozone Mapping and Profiler Suite (OMPS) data. We also now include dust layers as well as smoke. Other updates include improvements in retrieving the AOD of nonspherical dust from VIIRS, better determination of the <span class="hlt">aerosol</span> layer height from CALIOP, and more realistic input <span class="hlt">aerosol</span> profiles in the forward model for better accuracy.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://ntrs.nasa.gov/search.jsp?R=20110013550&hterms=online&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D40%26Ntt%3Donline','NASA-TRS'); return false;" href="https://ntrs.nasa.gov/search.jsp?R=20110013550&hterms=online&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D40%26Ntt%3Donline"><span>Online Simulations of Global <span class="hlt">Aerosol</span> Distributions in the NASA GEOS-4 Model and Comparisons to Satellite and Ground-Based <span class="hlt">Aerosol</span> Optical Depth</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Colarco, Peter; daSilva, Arlindo; Chin, Mian; Diehl, Thomas</p> <p>2010-01-01</p> <p>We have implemented a module for tropospheric <span class="hlt">aerosols</span> (GO CART) online in the NASA Goddard Earth Observing System version 4 model and simulated global <span class="hlt">aerosol</span> distributions for the period 2000-2006. The new online system offers several advantages over the previous offline version, providing a platform for <span class="hlt">aerosol</span> data assimilation, <span class="hlt">aerosol</span>-chemistry-climate interaction studies, and short-range chemical weather forecasting and climate prediction. We introduce as well a methodology for sampling model output consistently with satellite <span class="hlt">aerosol</span> optical thickness (AOT) retrievals to facilitate model-satellite comparison. Our results are similar to the offline GOCART model and to the models participating in the AeroCom intercomparison. The simulated AOT has similar seasonal and regional variability and magnitude to <span class="hlt">Aerosol</span> Robotic Network (AERONET), Moderate Resolution <span class="hlt">Imaging</span> Spectroradiometer, and Multiangle <span class="hlt">Imaging</span> Spectroradiometer observations. The model AOT and Angstrom parameter are consistently low relative to AERONET in biomass-burning-dominated regions, where emissions appear to be underestimated, consistent with the results of the offline GOCART model. In contrast, the model AOT is biased high in sulfate-dominated regions of North America and Europe. Our model-satellite comparison methodology shows that diurnal variability in <span class="hlt">aerosol</span> loading is unimportant compared to sampling the model where the satellite has cloud-free observations, particularly in sulfate-dominated regions. Simulated sea salt burden and optical thickness are high by a factor of 2-3 relative to other models, and agreement between model and satellite over-ocean AOT is improved by reducing the model sea salt burden by a factor of 2. The best agreement in both AOT magnitude and variability occurs immediately downwind of the Saharan dust plume.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://files.eric.ed.gov/fulltext/ED077195.pdf','ERIC'); return false;" href="http://files.eric.ed.gov/fulltext/ED077195.pdf"><span>A Model Driven Question-Answering System for a <span class="hlt">CAI</span> Environment. Final Report (July 1970 to May 1972).</span></a></p> <p><a target="_blank" href="http://www.eric.ed.gov/ERICWebPortal/search/extended.jsp?_pageLabel=advanced">ERIC Educational Resources Information Center</a></p> <p>Brown, John S.; And Others</p> <p></p> <p>A question answering system which permits a computer-assisted instruction (<span class="hlt">CAI</span>) student greater initiative in the variety of questions he can ask is described. A method is presented to represent the dynamic processes of a subject matter area by augmented finite state automata, which permits efficient inferencing about dynamic processes and…</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2007AGUFM.A32A..04M','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2007AGUFM.A32A..04M"><span>Diurnal Cycles of <span class="hlt">Aerosol</span> Optical Properties at Pico Tres Padres, Mexico City: Evidences for Changes in Particle Morphology and Secondary <span class="hlt">Aerosol</span> Formation</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Mazzoleni, C.; Dubey, M.; Chakrabarty, R.; Moosmuller, H.; Onasch, T.; Zavala, M.; Herndon, S.; Kolb, C.</p> <p>2007-12-01</p> <p><span class="hlt">Aerosol</span> optical properties affect planetary radiative balance and depend on chemical composition, size distribution, and morphology. During the MILAGRO field campaign, we measured <span class="hlt">aerosol</span> absorption and scattering in Mexico City using the Los Alamos <span class="hlt">aerosol</span> photoacoustic (LAPA) instrument operating at 781 nm. The LAPA was mounted on-board the Aerodyne Research Inc. mobile laboratory, which hosted a variety of gaseous and <span class="hlt">aerosol</span> instruments. During the campaign, the laboratory was moved to different sites, capturing spatial and temporal variability. Additionally, we collected ambient <span class="hlt">aerosols</span> on Nuclepore filters for scanning electron microscopy (SEM) analysis. SEM <span class="hlt">images</span> of selected filters were taken to study particle morphology. Between March 7th and 19th air was sampled at the top of Pico Tres Padres, a mountain on the north side of Mexico City. <span class="hlt">Aerosol</span> absorption and scattering followed diurnal patterns related to boundary layer height and solar insulation. We report an analysis of <span class="hlt">aerosol</span> absorption, scattering, and morphology for three days (9th, 11th and 12th of March 2006). The single scattering albedo (SSA, ratio of scattering to total extinction) showed a drop in the tens-of-minutes-to-hour time frame after the boundary layer grew above the sampling site. Later in the day the SSA rose steadily reaching a maximum in the afternoon. The SEM <span class="hlt">images</span> showed a variety of <span class="hlt">aerosol</span> shapes including fractal-like aggregates, spherical particles, and other shapes. The absorption correlated with the CO2 signal and qualitatively with the fraction of fractal-like particles to the total particle count. In the afternoon the SSA qualitatively correlated with a relative increase in spherical particles and total particle count. These observed changes in optical properties and morphology can be explained by the dominant contribution of freshly emitted particles in the morning and by secondary particle formation in the afternoon. SSA hourly averaged values ranged from ~0.63 in</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2014EGUGA..1615450O','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2014EGUGA..1615450O"><span>Raman microscopy of size-segregated <span class="hlt">aerosol</span> particles, collected at the Sonnblick Observatory in Austria</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Ofner, Johannes; Kasper-Giebl, Anneliese; Kistler, Magdalena; Matzl, Julia; Schauer, Gerhard; Hitzenberger, Regina; Lohninger, Johann; Lendl, Bernhard</p> <p>2014-05-01</p> <p>Size classified <span class="hlt">aerosol</span> samples were collected using low pressure impactors in July 2013 at the high alpine background site Sonnnblick. The Sonnblick Observatory is located in the Austrian Alps, at the summit of Sonnblick 3100 m asl. Sampling was performed in parallel on the platform of the Observatory and after the <span class="hlt">aerosol</span> inlet. The inlet is constructed as a whole air inlet and is operated at an overall sampling flow of 137 lpm and heated to 30 °C. Size cuts of the eight stage low pressure impactors were from 0.1 to 12.8 µm a.d.. Alumina foils were used as sample substrates for the impactor stages. In addition to the size classified <span class="hlt">aerosol</span> sampling overall <span class="hlt">aerosol</span> mass (Sharp Monitor 5030, Thermo Scientific) and number concentrations (TSI, CPC 3022a; TCC-3, Klotz) were determined. A Horiba LabRam 800HR Raman microscope was used for vibrational mapping of an area of about 100 µm x 100 µm of the alumina foils at a resolution of about 0.5 µm. The Raman microscope is equipped with a laser with an excitation wavelength of 532 nm and a grating with 300 gr/mm. Both optical <span class="hlt">images</span> and the related chemical <span class="hlt">images</span> were combined and a chemometric investigation of the combined <span class="hlt">images</span> was done using the software package Imagelab (Epina Software Labs). Based on the well-known environment, a basic assignment of Raman signals of single particles is possible at a sufficient certainty. Main <span class="hlt">aerosol</span> constituents e.g. like sulfates, black carbon and mineral particles could be identified. First results of the chemical <span class="hlt">imaging</span> of size-segregated <span class="hlt">aerosol</span>, collected at the Sonnblick Observatory, will be discussed with respect to standardized long-term measurements at the sampling station. Further, advantages and disadvantages of chemical <span class="hlt">imaging</span> with subsequent chemometric investigation of the single <span class="hlt">images</span> will be discussed and compared to the established methods of <span class="hlt">aerosol</span> analysis. The chemometric analysis of the dataset is focused on mixing and variation of single compounds at</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2008JGRD..11312215T','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2008JGRD..11312215T"><span>Does the Madden-Julian Oscillation influence <span class="hlt">aerosol</span> variability?</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Tian, Baijun; Waliser, Duane E.; Kahn, Ralph A.; Li, Qinbin; Yung, Yuk L.; Tyranowski, Tomasz; Geogdzhayev, Igor V.; Mishchenko, Michael I.; Torres, Omar; Smirnov, Alexander</p> <p>2008-06-01</p> <p>We investigate the modulation of <span class="hlt">aerosols</span> by the Madden-Julian Oscillation (MJO) using multiple, global satellite <span class="hlt">aerosol</span> products: <span class="hlt">aerosol</span> index (AI) from the Total Ozone Mapping Spectrometer (TOMS) on Nimbus-7, and <span class="hlt">aerosol</span> optical thickness (AOT) from the Moderate Resolution <span class="hlt">Imaging</span> Spectroradiometer (MODIS) on Terra and Aqua and the Advanced Very High Resolution Radiometer (AVHRR) on NOAA satellites. A composite MJO analysis indicates that large variations in the TOMS AI and MODIS/AVHRR AOT are found over the equatorial Indian and western Pacific Oceans where MJO convection is active, as well as the tropical Africa and Atlantic Ocean where MJO convection is weak but the background <span class="hlt">aerosol</span> level is high. A strong inverse linear relationship between the TOMS AI and rainfall anomalies, but a weaker, less coherent positive correlation between the MODIS/AVHRR AOT and rainfall anomalies, were found. The MODIS/AVHRR pattern is consistent with ground-based <span class="hlt">Aerosol</span> Robotic Network data. These results indicate that the MJO and its associated cloudiness, rainfall, and circulation variability systematically influence the variability in remote sensing <span class="hlt">aerosol</span> retrieval results. Several physical and retrieval algorithmic factors that may contribute to the observed <span class="hlt">aerosol</span>-rainfall relationships are discussed. Preliminary analysis indicates that cloud contamination in the <span class="hlt">aerosol</span> retrievals is likely to be a major contributor to the observed relationships, although we cannot exclude possible contributions from other physical mechanisms. Future research is needed to fully understand these complex <span class="hlt">aerosol</span>-rainfall relationships.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.ncbi.nlm.nih.gov/pubmed/24601011','PUBMED'); return false;" href="https://www.ncbi.nlm.nih.gov/pubmed/24601011"><span>Aqueous <span class="hlt">aerosol</span> SOA formation: impact on <span class="hlt">aerosol</span> physical properties.</span></a></p> <p><a target="_blank" href="https://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pubmed">PubMed</a></p> <p>Woo, Joseph L; Kim, Derek D; Schwier, Allison N; Li, Ruizhi; McNeill, V Faye</p> <p>2013-01-01</p> <p>Organic chemistry in <span class="hlt">aerosol</span> water has recently been recognized as a potentially important source of secondary organic <span class="hlt">aerosol</span> (SOA) material. This SOA material may be surface-active, therefore potentially affecting <span class="hlt">aerosol</span> heterogeneous activity, ice nucleation, and CCN activity. Aqueous <span class="hlt">aerosol</span> chemistry has also been shown to be a potential source of light-absorbing products ("brown carbon"). We present results on the formation of secondary organic <span class="hlt">aerosol</span> material in <span class="hlt">aerosol</span> water and the associated changes in <span class="hlt">aerosol</span> physical properties from GAMMA (Gas-<span class="hlt">Aerosol</span> Model for Mechanism Analysis), a photochemical box model with coupled gas and detailed aqueous <span class="hlt">aerosol</span> chemistry. The detailed <span class="hlt">aerosol</span> composition output from GAMMA was coupled with two recently developed modules for predicting a) <span class="hlt">aerosol</span> surface tension and b) the UV-Vis absorption spectrum of the <span class="hlt">aerosol</span>, based on our previous laboratory observations. The simulation results suggest that the formation of oligomers and organic acids in bulk <span class="hlt">aerosol</span> water is unlikely to perturb <span class="hlt">aerosol</span> surface tension significantly. Isoprene-derived organosulfates are formed in high concentrations in acidic <span class="hlt">aerosols</span> under low-NO(x) conditions, but more experimental data are needed before the potential impact of these species on <span class="hlt">aerosol</span> surface tension may be evaluated. Adsorption of surfactants from the gas phase may further suppress <span class="hlt">aerosol</span> surface tension. Light absorption by aqueous <span class="hlt">aerosol</span> SOA material is driven by dark glyoxal chemistry and is highest under high-NO(x) conditions, at high relative humidity, in the early morning hours. The wavelength dependence of the predicted absorption spectra is comparable to field observations and the predicted mass absorption efficiencies suggest that aqueous <span class="hlt">aerosol</span> chemistry can be a significant source of <span class="hlt">aerosol</span> brown carbon under urban conditions.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2014cosp...40E1492K','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2014cosp...40E1492K"><span><span class="hlt">Aerosol</span> algorithm evaluation within <span class="hlt">aerosol</span>-CCI</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Kinne, Stefan; Schulz, Michael; Griesfeller, Jan</p> <p></p> <p>Properties of <span class="hlt">aerosol</span> retrievals from space are difficult. Even data from dedicated satellite sensors face contaminations which limit the accuracy of <span class="hlt">aerosol</span> retrieval products. Issues are the identification of complete cloud-free scenes, the need to assume <span class="hlt">aerosol</span> compositional features in an underdetermined solution space and the requirement to characterize the background at high accuracy. Usually the development of <span class="hlt">aerosol</span> is a slow process, requiring continuous feedback from evaluations. To demonstrate maturity, these evaluations need to cover different regions and seasons and many different <span class="hlt">aerosol</span> properties, because <span class="hlt">aerosol</span> composition is quite diverse and highly variable in space and time, as atmospheric <span class="hlt">aerosol</span> lifetimes are only a few days. Three years ago the ESA Climate Change Initiative started to support <span class="hlt">aerosol</span> retrieval efforts in order to develop <span class="hlt">aerosol</span> retrieval products for the climate community from underutilized ESA satellite sensors. The initial focus was on retrievals of AOD (a measure for the atmospheric column amount) and of Angstrom (a proxy for <span class="hlt">aerosol</span> size) from the ATSR and MERIS sensors on ENVISAT. The goal was to offer retrieval products that are comparable or better in accuracy than commonly used NASA products of MODIS or MISR. Fortunately, accurate reference data of ground based sun-/sky-photometry networks exist. Thus, retrieval assessments could and were conducted independently by different evaluation groups. Here, results of these evaluations for the year 2008 are summarized. The capability of these newly developed retrievals is analyzed and quantified in scores. These scores allowed a ranking of competing efforts and also allow skill comparisons of these new retrievals against existing and commonly used retrievals.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.ncbi.nlm.nih.gov/pubmed/10961215','PUBMED'); return false;" href="https://www.ncbi.nlm.nih.gov/pubmed/10961215"><span>[<span class="hlt">Aerosolized</span> gadolinium-DTPA for demonstration of pulmonary ventilation in magnetic resonance tomography].</span></a></p> <p><a target="_blank" href="https://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pubmed">PubMed</a></p> <p>Haage, P; Adam, G; Misselwitz, B; Karaagac, S; Pfeffer, J G; Glowinski, A; Döhmen, S; Tacke, J; Günther, R W</p> <p>2000-04-01</p> <p>Magnetic resonance assessment of lung ventilation with <span class="hlt">aerosolized</span> Gd-DTPA. Eleven experimental procedures were carried out in a domestic pig model. The intubated pigs were <span class="hlt">aerosolized</span> for 30 minutes with an aqueous formulation of Gd-DTPA. The contrast agent <span class="hlt">aerosol</span> was generated by a small particle <span class="hlt">aerosol</span> generator. <span class="hlt">Imaging</span> was performed on a 1.5 T MR <span class="hlt">imager</span> using a T1-weighted turbo spin echo sequence with respiratory gating (TR 141 ms, TE 8.5 ms, 6 averages, slice thickness 10 mm). Pulmonary signal intensities before and after ventilation were measured in peripheral portions of both lungs. Immediately after ventilation with <span class="hlt">aerosolized</span> Gd-DTPA, the signal intensity in both lungs increased significantly in all animals with values up to 237% above baseline (mean 139% +/- 48%), but with in some cases considerable regional intra- and interindividual intensity differences. Distinctive parenchymal enhancement was readily visualized in all eleven cases with good spatial resolution. The presented data indicate that Gd-DTPA in <span class="hlt">aerosolized</span> form can be used to demonstrate pulmonary ventilation in large animals with lung volumes comparable to man. Further experimental trials are necessary to improve reproducibility and to define the scope of this method for depicting lung disease.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2016AMT.....9.5535S','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2016AMT.....9.5535S"><span><span class="hlt">Aerosol</span> data assimilation in the chemical transport model MOCAGE during the TRAQA/ChArMEx campaign: <span class="hlt">aerosol</span> optical depth</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Sič, Bojan; El Amraoui, Laaziz; Piacentini, Andrea; Marécal, Virginie; Emili, Emanuele; Cariolle, Daniel; Prather, Michael; Attié, Jean-Luc</p> <p>2016-11-01</p> <p>In this study, we describe the development of the <span class="hlt">aerosol</span> optical depth (AOD) assimilation module in the chemistry transport model (CTM) MOCAGE (Modèle de Chimie Atmosphérique à Grande Echelle). Our goal is to assimilate the spatially averaged 2-D column AOD data from the National Aeronautics and Space Administration (NASA) Moderate-resolution <span class="hlt">Imaging</span> Spectroradiometer (MODIS) instrument, and to estimate improvements in a 3-D CTM assimilation run compared to a direct model run. Our assimilation system uses 3-D-FGAT (first guess at appropriate time) as an assimilation method and the total 3-D <span class="hlt">aerosol</span> concentration as a control variable. In order to have an extensive validation dataset, we carried out our experiment in the northern summer of 2012 when the pre-ChArMEx (CHemistry and <span class="hlt">AeRosol</span> MEditerranean EXperiment) field campaign TRAQA (TRAnsport à longue distance et Qualité de l'Air dans le bassin méditerranéen) took place in the western Mediterranean basin. The assimilated model run is evaluated independently against a range of <span class="hlt">aerosol</span> properties (2-D and 3-D) measured by in situ instruments (the TRAQA size-resolved balloon and aircraft measurements), the satellite Spinning Enhanced Visible and InfraRed <span class="hlt">Imager</span> (SEVIRI) instrument and ground-based instruments from the <span class="hlt">Aerosol</span> Robotic Network (AERONET) network. The evaluation demonstrates that the AOD assimilation greatly improves <span class="hlt">aerosol</span> representation in the model. For example, the comparison of the direct and the assimilated model run with AERONET data shows that the assimilation increased the correlation (from 0.74 to 0.88), and reduced the bias (from 0.050 to 0.006) and the root mean square error in the AOD (from 0.12 to 0.07). When compared to the 3-D concentration data obtained by the in situ aircraft and balloon measurements, the assimilation consistently improves the model output. The best results as expected occur when the shape of the vertical profile is correctly simulated by the direct model. We</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/1998PhDT........38T','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/1998PhDT........38T"><span>I. The effect of volcanic <span class="hlt">aerosols</span> on ultraviolet radiation in Antarctica. II. A novel method for enhancing subsurface radar <span class="hlt">imaging</span> using radar interferometry</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Tsitas, Steven Ronald</p> <p></p> <p>The theory of radiative transfer is used to explain how a stratospheric <span class="hlt">aerosol</span> layer may, for large solar zenith angles, increase the flux of UV-B light at the ground. As previous explanations are heuristic and incomplete, I first provide a rigorous and complete explanation of how this occurs. I show that an <span class="hlt">aerosol</span> layer lying above Antarctica during spring will decrease the integrated daily dose of biologically weighted irradiance, weighted by the erythema action spectrum, by only up to 5%. Thus after a volcanic eruption, life in Antarctica during spring will suffer the combined effects of the spring ozone hole and ozone destruction induced by volcanic <span class="hlt">aerosols</span>, with the latter effect only slightly offset by <span class="hlt">aerosol</span> scattering. I extend subsurface radar <span class="hlt">imaging</span> by considering the additional information that may be derived from radar interferometry. I show that, under the conditions that temporal and spatial decorrelation between observations is small so that the effects of these decorrelations do not swamp the signature expected from a subsurface layer, the depth of burial of the lower surface may be derived. Also, the echoes from the lower and upper surfaces may be separated. The method is tested with <span class="hlt">images</span> acquired by SIR-C of the area on the Egypt/Sudan border where buried river channels were first observed by SIR-A. Temporal decorrelation between the <span class="hlt">images</span>, due to some combination of physical changes in the scene, changes in the spacecraft attitude and errors in the processing by NASA of the raw radar echoes into the synthetic aperture radar <span class="hlt">images</span>, swamps the expected signature for a layer up to 40 meters thick. I propose a test to determine whether or not simultaneous observations are required, and then detail the radar system requirements for successful application of the method for both possible outcomes of the test. I also describe in detail the possible applications of the method. These include measuring the depth of burial of ice in the polar</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2008SPIE.7081E..0TD','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2008SPIE.7081E..0TD"><span>WindCam and MSPI: two cloud and <span class="hlt">aerosol</span> instrument concepts derived from Terra/MISR heritage</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Diner, David J.; Mischna, Michael; Chipman, Russell A.; Davis, Ab; Cairns, Brian; Davies, Roger; Kahn, Ralph A.; Muller, Jan-Peter; Torres, Omar</p> <p>2008-08-01</p> <p>The Multi-angle <span class="hlt">Imaging</span> SpectroRadiometer (MISR) has been acquiring global cloud and <span class="hlt">aerosol</span> data from polar orbit since February 2000. MISR acquires moderately high-resolution imagery at nine view angles from nadir to 70.5°, in four visible/near-infrared spectral bands. Stereoscopic parallax, time lapse among the nine views, and the variation of radiance with angle and wavelength enable retrieval of geometric cloud and <span class="hlt">aerosol</span> plume heights, height-resolved cloud-tracked winds, and <span class="hlt">aerosol</span> optical depth and particle property information. Two instrument concepts based upon MISR heritage are in development. The Cloud Motion Vector Camera, or WindCam, is a simplified version comprised of a lightweight, compact, wide-angle camera to acquire multiangle stereo imagery at a single visible wavelength. A constellation of three WindCam instruments in polar Earth orbit would obtain height-resolved cloud-motion winds with daily global coverage, making it a low-cost complement to a spaceborne lidar wind measurement system. The Multiangle SpectroPolarimetric <span class="hlt">Imager</span> (MSPI) is aimed at <span class="hlt">aerosol</span> and cloud microphysical properties, and is a candidate for the National Research Council Decadal Survey's <span class="hlt">Aerosol</span>-Cloud-Ecosystem (ACE) mission. MSPI combines the capabilities of MISR with those of other <span class="hlt">aerosol</span> sensors, extending the spectral coverage to the ultraviolet and shortwave infrared and incorporating high-accuracy polarimetric <span class="hlt">imaging</span>. Based on requirements for the nonimaging <span class="hlt">Aerosol</span> Polarimeter Sensor on NASA's Glory mission, a degree of linear polarization uncertainty of 0.5% is specified within a subset of the MSPI bands. We are developing a polarization <span class="hlt">imaging</span> approach using photoelastic modulators (PEMs) to accomplish this objective.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20170001642','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20170001642"><span>Characterize <span class="hlt">Aerosols</span> from MODIS MISR OMI MERRA-2: Dynamic <span class="hlt">Image</span> Browse Perspective</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Wei, Jennifer; Yang, Wenli; Albayrak, Arif; Zhao, Peisheng; Zeng, Jian; Shen, Suhung; Johnson, James; Kempler, Steve</p> <p>2016-01-01</p> <p>Among the known atmospheric constituents, <span class="hlt">aerosols</span> still represent the greatest uncertainty in climate research. To understand the uncertainty is to bring altogether of observational (in-situ and remote sensing) and modeling datasets and inter-compare them synergistically for a wide variety of applications that can bring far-reaching benefits to the science community and the broader society. These benefits can best be achieved if these earth science data (satellite and modeling) are well utilized and interpreted. Unfortunately, this is not always the case, despite the abundance and relative maturity of numerous satellite-borne sensors routinely measure <span class="hlt">aerosols</span>. There is often disagreement between similar <span class="hlt">aerosol</span> parameters retrieved from different sensors, leaving users confused as to which sensors to trust for answering important science questions about the distribution, properties, and impacts of <span class="hlt">aerosols</span>. NASA Goddard Earth Sciences Data and Information Services Center (GES DISC) have developed a new visualization service (NASA Level 2 Data Quality Visualization, DQViz)supporting various visualization and data accessing capabilities from satellite Level 2(MODISMISROMI) and long term assimilated <span class="hlt">aerosols</span> from NASA Modern-Era Retrospective analysis for Research and Applications, Version 2 (MERRA-2 displaying at their own native physical-retrieved spatial resolution. Functionality will include selecting data sources (e.g., multiple parameters under the same measurement), defining area-of-interest and temporal extents, zooming, panning, overlaying, sliding, and data subsetting and reformatting.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.ncbi.nlm.nih.gov/pubmed/27693267','PUBMED'); return false;" href="https://www.ncbi.nlm.nih.gov/pubmed/27693267"><span>Complete genome sequence of Defluviimonas alba <span class="hlt">cai</span>42T, a microbial exopolysaccharides producer.</span></a></p> <p><a target="_blank" href="https://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pubmed">PubMed</a></p> <p>Zhao, Jie-Yu; Geng, Shuang; Xu, Lian; Hu, Bing; Sun, Ji-Quan; Nie, Yong; Tang, Yue-Qin; Wu, Xiao-Lei</p> <p>2016-12-10</p> <p>Defluviimonas alba <span class="hlt">cai</span>42 T , isolated from the oil-production water in Xinjiang Oilfield in China, has a strong ability to produce exopolysaccharides (EPS). We hereby present its complete genome sequence information which consists of a circular chromosome and three plasmids. The strain characteristically contains various genes encoding for enzymes involved in EPS biosynthesis, modification, and export. According to the genomic and physiochemical data, it is predicted that the strain has the potential to be utilized in industrial production of microbial EPS. Copyright © 2016 Elsevier B.V. All rights reserved.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2016AGUFM.A41D0067C','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2016AGUFM.A41D0067C"><span>Daytime variations of absorbing <span class="hlt">aerosols</span> above clouds in the southeast Atlantic</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Chang, Y. Y.; Christopher, S. A.</p> <p>2016-12-01</p> <p>The daytime variation of <span class="hlt">aerosol</span> optical depth (AOD) above maritime stratocumulus clouds in the southeast Atlantic is investigated by merging geostationary data from the Spinning Enhanced Visible and Infrared <span class="hlt">Imager</span> (SEVIRI) with NASA A-Train data sets. SEVIRI's 15-minute above cloud AOD and below <span class="hlt">aerosol</span> cloud optical depth (COD) retrieval provides the opportunity to assess their direct radiative forcing using actual cloud and <span class="hlt">aerosol</span> properties instead of using fixed values from polar-orbiting measurements. The impact of overlying <span class="hlt">aerosols</span> above clouds on the cloud mask products are compared with active spaceborne lidar to examine the performance of the product. Uncertainty analyses of <span class="hlt">aerosol</span> properties on the estimation of optical properties and radiative forcing are addressed.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2014E%26ES...18a2085L','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2014E%26ES...18a2085L"><span>Preliminary results of the <span class="hlt">aerosol</span> optical depth retrieval in Johor, Malaysia</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Lim, H. Q.; Kanniah, K. D.; Lau, A. M. S.</p> <p>2014-02-01</p> <p>Monitoring of atmospheric <span class="hlt">aerosols</span> over the urban area is important as tremendous amounts of pollutants are released by industrial activities and heavy traffic flow. Air quality monitoring by satellite observation provides better spatial coverage, however, detailed <span class="hlt">aerosol</span> properties retrieval remains a challenge. This is due to the limitation of <span class="hlt">aerosol</span> retrieval algorithm on high reflectance (bright surface) areas. The aim of this study is to retrieve <span class="hlt">aerosol</span> optical depth over urban areas of Iskandar Malaysia; the main southern development zone in Johor state, using Moderate Resolution <span class="hlt">Imaging</span> Spectroradiometer (MODIS) 500 m resolution data. One of the important steps is the <span class="hlt">aerosol</span> optical depth retrieval is to characterise different types of <span class="hlt">aerosols</span> in the study area. This information will be used to construct a Look Up Table containing the simulated <span class="hlt">aerosol</span> reflectance and corresponding <span class="hlt">aerosol</span> optical depth. Thus, in this study we have characterised different <span class="hlt">aerosol</span> types in the study area using <span class="hlt">Aerosol</span> Robotic Network (AERONET) data. These data were processed using cluster analysis and the preliminary results show that the area is consisting of coastal urban (65%), polluted urban (27.5%), dust particles (6%) and heavy pollution (1.5%) <span class="hlt">aerosols</span>.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20170008036','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20170008036"><span>Evaluation of <span class="hlt">Aerosol</span> Optical Depth and <span class="hlt">Aerosol</span> Models from VIIRS Retrieval Algorithms over North China Plain</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Zhu, Jun; Xia, Xiangao; Wang, Jun; Che, Huizheng; Chen, Hongbin; Zhang, Jinqiang; Xu, Xiaoguang; Levy, Robert; Oo, Min; Holz, Robert; <a style="text-decoration: none; " href="javascript:void(0); " onClick="displayelement('author_20170008036'); toggleEditAbsImage('author_20170008036_show'); toggleEditAbsImage('author_20170008036_hide'); "> <img style="display:inline; width:12px; height:12px; " src="images/arrow-up.gif" width="12" height="12" border="0" alt="hide" id="author_20170008036_show"> <img style="width:12px; height:12px; display:none; " src="images/arrow-down.gif" width="12" height="12" border="0" alt="hide" id="author_20170008036_hide"></p> <p>2017-01-01</p> <p>The first Visible Infrared <span class="hlt">Imaging</span> Radiometer Suite (VIIRS) was launched on Suomi National Polar-orbiting Partnership (S-NPP) satellite in late 2011. Similar to the Moderate resolution <span class="hlt">Imaging</span> Spectroradiometer (MODIS), VIIRS observes top-of-atmosphere spectral reflectance and is potentially suitable for retrieval of the <span class="hlt">aerosol</span> optical depth (AOD). The VIIRS Environmental Data Record data (VIIRS_EDR) is produced operationally by NOAA, and is based on the MODIS atmospheric correction algorithm. The MODIS-like VIIRS data (VIIRS_ML) are being produced experimentally at NASA, from a version of the dark-target algorithm that is applied to MODIS. In this study, the AOD and <span class="hlt">aerosol</span> model types from these two VIIRS retrieval algorithms over the North China Plain (NCP) are evaluated using the ground-based CE318 Sunphotometer (CE318) measurements during 2 May 2012-31 March 2014 at three sites. These sites represent three different surface types: urban (Beijing), suburban (XiangHe) and rural (Xinglong). Firstly, we evaluate the retrieved spectral AOD. For the three sites, VIIRS_EDR AOD at 550 nm shows a positive mean bias (MB) of 0.04-0.06 and the correlation of 0.83-0.86, with the largest MB (0.10-0.15) observed in Beijing. In contrast, VIIRS_ML AOD at 550 nm has overall higher positive MB of 0.13-0.14 and a higher correlation (0.93-0.94) with CE318 AOD. Secondly, we evaluate the <span class="hlt">aerosol</span> model types assumed by each algorithm, as well as the <span class="hlt">aerosol</span> optical properties used in the AOD retrievals. The <span class="hlt">aerosol</span> model used in VIIRS_EDR algorithm shows that dust and clean urban models were the dominant model types during the evaluation period. The overall accuracy rate of the <span class="hlt">aerosol</span> model used in VIIRS_ML over NCP three sites (0.48) is higher than that of VIIRS_EDR (0.27). The differences in Single Scattering Albedo (SSA) at 670 nm between VIIRS_ML and CE318 are mostly less than 0.015, but high seasonal differences are found especially over the Xinglong site. The values of SSA</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.ncbi.nlm.nih.gov/pubmed/29910965','PUBMED'); return false;" href="https://www.ncbi.nlm.nih.gov/pubmed/29910965"><span>Evaluation of <span class="hlt">aerosol</span> optical depth and <span class="hlt">aerosol</span> models from VIIRS retrieval algorithms over North China Plain.</span></a></p> <p><a target="_blank" href="https://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pubmed">PubMed</a></p> <p>Zhu, Jun; Xia, Xiangao; Wang, Jun; Che, Huizheng; Chen, Hongbin; Zhang, Jinqiang; Xu, Xiaoguang; Levy, Robert; Oo, Min; Holz, Robert; Ayoub, Mohammed</p> <p>2017-01-01</p> <p>The first Visible Infrared <span class="hlt">Imaging</span> Radiometer Suite (VIIRS) was launched on Suomi National Polar-orbiting Partnership (S-NPP) satellite in late 2011. Similar to the Moderate resolution <span class="hlt">Imaging</span> Spectroradiometer (MODIS), VIIRS observes top-of-atmosphere spectral reflectance and is potentially suitable for retrieval of the <span class="hlt">aerosol</span> optical depth (AOD). The VIIRS Environmental Data Record data (VIIRS_EDR) is produced operationally by NOAA, and is based on the MODIS atmospheric correction algorithm. The "MODIS-like" VIIRS data (VIIRS_ML) are being produced experimentally at NASA, from a version of the "dark-target" algorithm that is applied to MODIS. In this study, the AOD and <span class="hlt">aerosol</span> model types from these two VIIRS retrieval algorithms over the North China Plain (NCP) are evaluated using the ground-based CE318 Sunphotometer (CE318) measurements during 2 May 2012 - 31 March 2014 at three sites. These sites represent three different surface types: urban (Beijing), suburban (XiangHe) and rural (Xinglong). Firstly, we evaluate the retrieved spectral AOD. For the three sites, VIIRS_EDR AOD at 550 nm shows a positive mean bias (MB) of 0.04-0.06 and the correlation of 0.83-0.86, with the largest MB (0.10-0.15) observed in Beijing. In contrast, VIIRS_ML AOD at 550 nm has overall higher positive MB of 0.13-0.14 and a higher correlation (0.93-0.94) with CE318 AOD. Secondly, we evaluate the <span class="hlt">aerosol</span> model types assumed by each algorithm, as well as the <span class="hlt">aerosol</span> optical properties used in the AOD retrievals. The <span class="hlt">aerosol</span> model used in VIIRS_EDR algorithm shows that dust and clean urban models were the dominant model types during the evaluation period. The overall accuracy rate of the <span class="hlt">aerosol</span> model used in VIIRS_ML over NCP three sites (0.48) is higher than that of VIIRS_EDR (0.27). The differences in Single Scattering Albedo (SSA) at 670 nm between VIIRS_ML and CE318 are mostly less than 0.015, but high seasonal differences are found especially over the Xinglong site. The values of</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://cfpub.epa.gov/si/si_public_record_report.cfm?dirEntryId=163264&Lab=NERL&keyword=motivation&actType=&TIMSType=+&TIMSSubTypeID=&DEID=&epaNumber=&ntisID=&archiveStatus=Both&ombCat=Any&dateBeginCreated=&dateEndCreated=&dateBeginPublishedPresented=&dateEndPublishedPresented=&dateBeginUpdated=&dateEndUpdated=&dateBeginCompleted=&dateEndCompleted=&personID=&role=Any&journalID=&publisherID=&sortBy=revisionDate&count=50','EPA-EIMS'); return false;" href="https://cfpub.epa.gov/si/si_public_record_report.cfm?dirEntryId=163264&Lab=NERL&keyword=motivation&actType=&TIMSType=+&TIMSSubTypeID=&DEID=&epaNumber=&ntisID=&archiveStatus=Both&ombCat=Any&dateBeginCreated=&dateEndCreated=&dateBeginPublishedPresented=&dateEndPublishedPresented=&dateBeginUpdated=&dateEndUpdated=&dateBeginCompleted=&dateEndCompleted=&personID=&role=Any&journalID=&publisherID=&sortBy=revisionDate&count=50"><span>A COMPARISON OF CMAQ-BASED <span class="hlt">AEROSOL</span> PROPERTIES WITH IMPROVE, MODIS, AND AERONET DATA</span></a></p> <p><a target="_blank" href="http://oaspub.epa.gov/eims/query.page">EPA Science Inventory</a></p> <p></p> <p></p> <p>We compare select <span class="hlt">aerosol</span> Properties derived from the Community Multiscale Air Quality (CMAQ) model-simulated <span class="hlt">aerosol</span> mass concentrations with routine data from the National Aeronautics and Space Administration (NASA) satellite-borne Moderate Resolution <span class="hlt">Imaging</span> Spectro-radiometer...</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/1994CPL...225...76C','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/1994CPL...225...76C"><span>Resonance-enhanced two-photon excitation of <span class="hlt">CaI</span></span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Casero-Junquera, Elena; Lawruszczuk, Rafal; Rostas, Joëlle; Taieb, Guy</p> <p>1994-07-01</p> <p>Induced fluorescence following visible (620-655 nm) laser excitation of the <span class="hlt">CaI</span> radical has been detected not only in the same region (B, A-X transitions), but also in the UV (315-330 nm). The UV two-photon excitation spectrum consists of narrow bands appearing at laser frequencies located within certain bands of the Δ v = 1, 0 sequences of the B 2Σ +-X 2Σ + and A 2Π 1/2-X 2Σ + systems. The main peaks are tentatively assigned to resonance-enhanced excitation of a single vibrational level of the lowest Rydberg D 2Σ + state from successive vibrational levels of the ground state. The excitation process is a one-color two-photon optical—optical-double-resonance via B 2Σ + and A 2Π 1/2 intermediate levels. This analysis is supported by the absorption spectrum observed long ago by Walters and Barratt. The absorption and laser excitation complementary data have been used to derive approximate molecular constants for the D state.</p> </li> </ol> <div class="pull-right"> <ul class="pagination"> <li><a href="#" onclick='return showDiv("page_1");'>«</a></li> <li><a href="#" onclick='return showDiv("page_13");'>13</a></li> <li><a href="#" onclick='return showDiv("page_14");'>14</a></li> <li class="active"><span>15</span></li> <li><a href="#" onclick='return showDiv("page_16");'>16</a></li> <li><a href="#" onclick='return showDiv("page_17");'>17</a></li> <li><a href="#" onclick='return showDiv("page_25");'>»</a></li> </ul> </div> </div><!-- col-sm-12 --> </div><!-- row --> </div><!-- page_15 --> <div id="page_16" class="hiddenDiv"> <div class="row"> <div class="col-sm-12"> <div class="pull-right"> <ul class="pagination"> <li><a href="#" onclick='return showDiv("page_1");'>«</a></li> <li><a href="#" onclick='return showDiv("page_14");'>14</a></li> <li><a href="#" onclick='return showDiv("page_15");'>15</a></li> <li class="active"><span>16</span></li> <li><a href="#" onclick='return showDiv("page_17");'>17</a></li> <li><a href="#" onclick='return showDiv("page_18");'>18</a></li> <li><a href="#" onclick='return showDiv("page_25");'>»</a></li> </ul> </div> </div> </div> <div class="row"> <div class="col-sm-12"> <ol class="result-class" start="301"> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2013ACPD...13.5123P','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2013ACPD...13.5123P"><span>Evaluation of spatio-temporal variability of Hamburg <span class="hlt">Aerosol</span> Climatology against <span class="hlt">aerosol</span> datasets from MODIS and CALIOP</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Pappas, V.; Hatzianastassiou, N.; Papadimas, C.; Matsoukas, C.; Kinne, S.; Vardavas, I.</p> <p>2013-02-01</p> <p>The new global <span class="hlt">aerosol</span> climatology named HAC (Hamburg <span class="hlt">Aerosol</span> Climatology) is compared against MODIS (MODerate resolution <span class="hlt">Imaging</span> Spectroradiometer, Collection 5, 2000-2007) and CALIOP (Cloud-<span class="hlt">Aerosol</span> Lidar with Orthogonal Polarization, Level 2-Version 3, 2006-2011) retrievals. The HAC <span class="hlt">aerosol</span> optical depth (AOD) values are larger than MODIS in heavy <span class="hlt">aerosol</span> load conditions (over land) and lower over oceans. Agreement between HAC and MODIS is better over land and for low AOD. Hemispherically, HAC has 16-17% smaller AOD values than MODIS. The discrepancy is slightly larger for the Southern Hemisphere (SH) than for the Northern Hemisphere (NH). Seasonally, the largest absolute differences are from March to August for NH and from September to February for SH. The spectral variability of HAC AOD is also evaluated against AERONET (1998-2007) data for sites representative of main <span class="hlt">aerosol</span> types (pollutants, sea-salt, biomass and dust). The HAC has a stronger spectral dependence of AOD in the UV wavelengths, compared to AERONET and MODIS. For visible and near-infrared wavelengths, the spectral dependence is similar to AERONET. For specific sites, HAC AOD vertical distribution is compared to CALIOP data by looking at the fraction of columnar AOD at each altitude. The comparison suggests that HAC exhibits a smaller fraction of columnar AOD in the lowest 2-3 km than CALIOP, especially for sites with biomass burning smoke, desert dust and sea salt spray. For the region of the greater Mediterranean basin, the mean profile of HAC AOD is in very good agreement with CALIOP. The HAC AOD is very useful for distinguishing between natural and anthropogenic <span class="hlt">aerosols</span> and provides high spectral resolution and vertically resolved information.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2013EGUGA..15.7529F','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2013EGUGA..15.7529F"><span><span class="hlt">Aerosol</span> patterns and <span class="hlt">aerosol</span>-cloud-interactions off the West African Coast based on the A-train formation</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Fuchs, Julia; Bendix, Jörg; Cermak, Jan</p> <p>2013-04-01</p> <p>In this study, spatial and temporal <span class="hlt">aerosol</span> patterns off the Western African coast are characterized and related to cloud properties, based on satellite data Atmospheric <span class="hlt">aerosols</span> play a key role in atmospheric processes and influence our environmental system in a complex way. Their identification, characterization, transport patterns as well as their interactions with clouds pose major challenges. Especially the last aspect reveals major uncertainties in terms of the Earth's radiation budget as reported in the IPCC's Fourth Assessment Report (IPCC, 2007). Western and Southern Africa are dominated by two well-known source types of atmospheric <span class="hlt">aerosols</span>. First, the Saharan Desert is the world's largest aeolian dust emitting source region. Second, biomass burning <span class="hlt">aerosol</span> is commonly transported off-shore further south (Kaufman et al., 2005). Both <span class="hlt">aerosol</span> types influence Earth's climate in different manners and can be detected by the MODIS (MODerate resolution <span class="hlt">Imaging</span> Spectrometer) sensor onboard the EOS platforms as they propagate to the Central and Southern Atlantic. The motivation of this study was to reveal the seasonal pattern of the Saharan dust transport based on an observation period of 11 years and trying to explain the meteorological mechanisms. North African dust plumes are transported along a latitude of 19°N in July and 6°N in January. The seasonally fluctuating intensities adapt to the annual cycle of wind and precipitation regimes. A strong relationship is found between the spatial shift of the Azores High and the Saharan dust load over the middle Atlantic Ocean. Monthly <span class="hlt">Aerosol</span> Optical Thickness products of Terra MODIS and NCEP-DOE (National Centers for Environmental Predictions) Reanalysis II data are used for this purpose. The relationship between <span class="hlt">aerosol</span> and cloud droplet parameters is blurred by high sensitivities to <span class="hlt">aerosol</span> size and composition (Feingold, 2003; McFiggans et al., 2006) as well as meteorological context (Ackerman et al., 2004</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://www.dtic.mil/docs/citations/ADA239997','DTIC-ST'); return false;" href="http://www.dtic.mil/docs/citations/ADA239997"><span>A Design of Computer Aided Instructions (<span class="hlt">CAI</span>) for Undirected Graphs in the Discrete Math Tutorial (DMT). Part 1.</span></a></p> <p><a target="_blank" href="http://www.dtic.mil/">DTIC Science & Technology</a></p> <p></p> <p>1990-06-01</p> <p>The objective of this thesis research is to create a tutorial for teaching aspects of undirected graphs in discrete math . It is one of the submodules...of the Discrete Math Tutorial (DMT), which is a Computer Aided Instructional (<span class="hlt">CAI</span>) tool for teaching discrete math to the Naval Academy and the</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://www.dtic.mil/docs/citations/ADA239998','DTIC-ST'); return false;" href="http://www.dtic.mil/docs/citations/ADA239998"><span>A Design of Computer Aided Instructions (<span class="hlt">CAI</span>) for Undirected Graphs in the Discrete Math Tutorial (DMT). Part 2</span></a></p> <p><a target="_blank" href="http://www.dtic.mil/">DTIC Science & Technology</a></p> <p></p> <p>1990-06-01</p> <p>The objective of this thesis research is to create a tutorial for teaching aspects of undirected graphs in discrete math . It is one of the submodules...of the Discrete Math Tutorial (DMT), which is a Computer Aided Instructional (<span class="hlt">CAI</span>) tool for teaching discrete math to the Naval Academy and the</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2018AMT....11..499T','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2018AMT....11..499T"><span>Minimum <span class="hlt">aerosol</span> layer detection sensitivities and their subsequent impacts on <span class="hlt">aerosol</span> optical thickness retrievals in CALIPSO level 2 data products</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Toth, Travis D.; Campbell, James R.; Reid, Jeffrey S.; Tackett, Jason L.; Vaughan, Mark A.; Zhang, Jianglong; Marquis, Jared W.</p> <p>2018-01-01</p> <p>Due to instrument sensitivities and algorithm detection limits, level 2 (L2) Cloud-<span class="hlt">Aerosol</span> Lidar with Orthogonal Polarization (CALIOP) 532 nm <span class="hlt">aerosol</span> extinction profile retrievals are often populated with retrieval fill values (RFVs), which indicate the absence of detectable levels of <span class="hlt">aerosol</span> within the profile. In this study, using 4 years (2007-2008 and 2010-2011) of CALIOP version 3 L2 <span class="hlt">aerosol</span> data, the occurrence frequency of daytime CALIOP profiles containing all RFVs (all-RFV profiles) is studied. In the CALIOP data products, the <span class="hlt">aerosol</span> optical thickness (AOT) of any all-RFV profile is reported as being zero, which may introduce a bias in CALIOP-based AOT climatologies. For this study, we derive revised estimates of AOT for all-RFV profiles using collocated Moderate Resolution <span class="hlt">Imaging</span> Spectroradiometer (MODIS) Dark Target (DT) and, where available, <span class="hlt">AErosol</span> RObotic NEtwork (AERONET) data. Globally, all-RFV profiles comprise roughly 71 % of all daytime CALIOP L2 <span class="hlt">aerosol</span> profiles (i.e., including completely attenuated profiles), accounting for nearly half (45 %) of all daytime cloud-free L2 <span class="hlt">aerosol</span> profiles. The mean collocated MODIS DT (AERONET) 550 nm AOT is found to be near 0.06 (0.08) for CALIOP all-RFV profiles. We further estimate a global mean <span class="hlt">aerosol</span> extinction profile, a so-called <q>noise floor</q>, for CALIOP all-RFV profiles. The global mean CALIOP AOT is then recomputed by replacing RFV values with the derived noise-floor values for both all-RFV and non-all-RFV profiles. This process yields an improvement in the agreement of CALIOP and MODIS over-ocean AOT.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/19980018611','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/19980018611"><span>First Estimates of the Radiative Forcing of <span class="hlt">Aerosols</span> Generated from Biomass Burning using Satellite Data</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Chistopher, Sundar A.; Kliche, Donna V.; Chou, Joyce; Welch, Ronald M.</p> <p>1996-01-01</p> <p>Collocated measurements from the Advanced Very High Resolution Radiometer (AVHRR) and the Earth Radiation Budget Experiment (ERBE) scanner are used to examine the radiative forcing of atmospheric <span class="hlt">aerosols</span> generated from biomass burning for 13 <span class="hlt">images</span> in South America. Using the AVHRR, Local Area Coverage (LAC) data, a new technique based on a combination of spectral and textural measures is developed for detecting these <span class="hlt">aerosols</span>. Then, the instantaneous shortwave, longwave, and net radiative forcing values are computed from the ERBE instantaneous scanner data. Results for the selected samples from 13 <span class="hlt">images</span> show that the mean instantaneous net radiative forcing for areas with heavy <span class="hlt">aerosol</span> loading is about -36 W/sq m and that for the optically thin <span class="hlt">aerosols</span> are about -16 W/sq m. These results, although preliminary, provide the first estimates of radiative forcing of atmospheric <span class="hlt">aerosols</span> from biomass burning using satellite data.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/19970020060','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/19970020060"><span>First Estimates of the Radiative Forcing of <span class="hlt">Aerosols</span> Generated from Biomass Burning Using Satellite Data</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Christopher, Sundar A.; Kliche, Donna A.; Chou, Joyce; Welch, Ronald M.</p> <p>1996-01-01</p> <p>Collocated measurements from the Advanced Very High Resolution Radiometer (AVHRR) and the Earth Radiation Budget Experiment (ERBE) scanner are used to examine the radiative forcing of atmospheric <span class="hlt">aerosols</span> generated from biomass burning for 13 <span class="hlt">images</span> in South America. Using the AVHRR, Local Area Coverage (LAC) data, a new technique based on a combination of spectral and textural measures is developed for detecting these <span class="hlt">aerosols</span>. Then, the instantaneous shortwave, longwave, and net radiative forcing values are computed from the ERBE instantaneous scanner data. Results for the selected samples from 13 <span class="hlt">images</span> show that the mean instantaneous net radiative forcing for areas with heavy <span class="hlt">aerosol</span> loading is about -36 W/sq m and that for the optically thin <span class="hlt">aerosols</span> are about -16 W/sq m. These results, although preliminary, provide the first estimates of radiative forcing of atmospheric <span class="hlt">aerosols</span> from biomass burning using satellite data.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.ncbi.nlm.nih.gov/pubmed/24165016','PUBMED'); return false;" href="https://www.ncbi.nlm.nih.gov/pubmed/24165016"><span>Sexual life and sexual wellness in individuals with complete androgen insensitivity syndrome (<span class="hlt">CAIS</span>) and Mayer-Rokitansky-Küster-Hauser Syndrome (MRKHS).</span></a></p> <p><a target="_blank" href="https://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pubmed">PubMed</a></p> <p>Fliegner, Maike; Krupp, Kerstin; Brunner, Franziska; Rall, Katharina; Brucker, Sara Y; Briken, Peer; Richter-Appelt, Hertha</p> <p>2014-03-01</p> <p>Sexual wellness depends on a person's physical and psychological constitution. Complete Androgen Insensitivity Syndrome (<span class="hlt">CAIS</span>) and Mayer-Rokitansky-Küster-Hauser Syndrome (MRKHS) can compromise sexual well-being. To compare sexual well-being in <span class="hlt">CAIS</span> and MRKHS using multiple measures: To assess sexual problems and perceived distress. To gain insight into participants' feelings of inadequacy in social and sexual situations, level of self-esteem and depression. To determine how these psychological factors relate to sexual (dys)function. To uncover what participants see as the source of their sexual problems. Data were collected using a paper-and-pencil questionnaire. Eleven individuals with <span class="hlt">CAIS</span> and 49 with MRKHS with/without neovagina treatment were included. Rates of sexual dysfunctions, overall sexual function, feelings of inadequacy in social and sexual situations, self-esteem and depression scores were calculated. Categorizations were used to identify critical cases. Correlations between psychological variables and sexual function were computed. Sexually active subjects were compared with sexually not active participants. A qualitative content analysis was carried out to explore causes of sexual problems. An extended list of sexual problems based on the Diagnostic and Statistical Manual of Mental Disorders, 4th ed., text revision, by the American Psychiatric Association and related distress. Female Sexual Function Index (FSFI), German Questionnaire on Feelings of Inadequacy in Social and Sexual Situations (FUSS social scale, FUSS sexual scale), Rosenberg Self-Esteem Scale (RSE), Brief Symptom Inventory (BSI) subscale depression. Open question on alleged causes of sexual problems. The results point to a far-reaching lack of sexual confidence and sexual satisfaction in <span class="hlt">CAIS</span>. In MRKHS apprehension in sexual situations is a source of distress, but sexual problems seem to be more focused on issues of vaginal functioning. MRKHS women report being satisfied with their</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2013SPIE.8874E..0FR','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2013SPIE.8874E..0FR"><span>Extracting atmospheric turbulence and <span class="hlt">aerosol</span> characteristics from passive imagery</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Reinhardt, Colin N.; Wayne, D.; McBryde, K.; Cauble, G.</p> <p>2013-09-01</p> <p>Obtaining accurate, precise and timely information about the local atmospheric turbulence and extinction conditions and <span class="hlt">aerosol</span>/particulate content remains a difficult problem with incomplete solutions. It has important applications in areas such as optical and IR free-space communications, <span class="hlt">imaging</span> systems performance, and the propagation of directed energy. The capability to utilize passive <span class="hlt">imaging</span> data to extract parameters characterizing atmospheric turbulence and <span class="hlt">aerosol</span>/particulate conditions would represent a valuable addition to the current piecemeal toolset for atmospheric sensing. Our research investigates an application of fundamental results from optical turbulence theory and <span class="hlt">aerosol</span> extinction theory combined with recent advances in <span class="hlt">image</span>-quality-metrics (IQM) and <span class="hlt">image</span>-quality-assessment (IQA) methods. We have developed an algorithm which extracts important parameters used for characterizing atmospheric turbulence and extinction along the propagation channel, such as the refractive-index structure parameter C2n , the Fried atmospheric coherence width r0 , and the atmospheric extinction coefficient βext , from passive <span class="hlt">image</span> data. We will analyze the algorithm performance using simulations based on modeling with turbulence modulation transfer functions. An experimental field campaign was organized and data were collected from passive <span class="hlt">imaging</span> through turbulence of Siemens star resolution targets over several short littoral paths in Point Loma, San Diego, under conditions various turbulence intensities. We present initial results of the algorithm's effectiveness using this field data and compare against measurements taken concurrently with other standard atmospheric characterization equipment. We also discuss some of the challenges encountered with the algorithm, tasks currently in progress, and approaches planned for improving the performance in the near future.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.osti.gov/pages/biblio/1195576-cfd-modeling-image-analysis-exhaled-aerosols-due-growing-bronchial-tumor-towards-non-invasive-diagnosis-treatment-respiratory-obstructive-diseases','SCIGOV-DOEP'); return false;" href="https://www.osti.gov/pages/biblio/1195576-cfd-modeling-image-analysis-exhaled-aerosols-due-growing-bronchial-tumor-towards-non-invasive-diagnosis-treatment-respiratory-obstructive-diseases"><span>CFD modeling and <span class="hlt">image</span> analysis of exhaled <span class="hlt">aerosols</span> due to a growing bronchial tumor: Towards non-invasive diagnosis and treatment of respiratory obstructive diseases</span></a></p> <p><a target="_blank" href="http://www.osti.gov/pages">DOE PAGES</a></p> <p>Xi, Jinxiang; Kim, JongWon; Si, Xiuhua A.; ...</p> <p>2015-01-01</p> <p>Diagnosis and prognosis of tumorigenesis are generally performed with CT, PET, or biopsy. Such methods are accurate, but have the limitations of high cost and posing additional health risks to patients. In this study, we introduce an alternative computer aided diagnostic tool that can locate malignant sites caused by tumorigenesis in a non-invasive and low-cost way. Our hypothesis is that exhaled <span class="hlt">aerosol</span> distribution is unique to lung structure and is sensitive to airway structure variations. With appropriate approaches, it is possible to locate the disease site, determine the disease severity, and subsequently formulate a targeted drug delivery plan to treatmore » the disease. This study numerically evaluated the feasibility of the proposed breath test in an <span class="hlt">image</span>-based lung model with varying pathological stages of a bronchial squamous tumor. Large eddy simulations and a Lagrangian tracking approach were used to model respiratory airflows and <span class="hlt">aerosol</span> dynamics. Respirations of tracer <span class="hlt">aerosols</span> of 1 μm at a flow rate of 20 L/min were simulated, with the distributions of exhaled <span class="hlt">aerosols</span> recorded on a filter at the mouth exit. <span class="hlt">Aerosol</span> patterns were quantified with multiple analytical techniques such as concentration disparity, spatial scanning and fractal analysis. We demonstrated that a growing bronchial tumor induced notable variations in both the airflow and exhaled <span class="hlt">aerosol</span> distribution. These variations became more apparent with increasing tumor severity. The exhaled <span class="hlt">aerosols</span> exhibited distinctive pattern parameters such as spatial probability, fractal dimension, and multifractal spectrum. Results of this study show that morphometric measures of the exhaled <span class="hlt">aerosol</span> pattern can be used to detect and monitor the pathological states of respiratory diseases in the upper airway. The proposed breath test also has the potential to locate the site of the disease, which is critical in developing a personalized, site-specific drug delivery protocol.« less</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.osti.gov/servlets/purl/1195576','SCIGOV-STC'); return false;" href="https://www.osti.gov/servlets/purl/1195576"><span>CFD modeling and <span class="hlt">image</span> analysis of exhaled <span class="hlt">aerosols</span> due to a growing bronchial tumor: Towards non-invasive diagnosis and treatment of respiratory obstructive diseases</span></a></p> <p><a target="_blank" href="http://www.osti.gov/search">DOE Office of Scientific and Technical Information (OSTI.GOV)</a></p> <p>Xi, Jinxiang; Kim, JongWon; Si, Xiuhua A.</p> <p></p> <p>Diagnosis and prognosis of tumorigenesis are generally performed with CT, PET, or biopsy. Such methods are accurate, but have the limitations of high cost and posing additional health risks to patients. In this study, we introduce an alternative computer aided diagnostic tool that can locate malignant sites caused by tumorigenesis in a non-invasive and low-cost way. Our hypothesis is that exhaled <span class="hlt">aerosol</span> distribution is unique to lung structure and is sensitive to airway structure variations. With appropriate approaches, it is possible to locate the disease site, determine the disease severity, and subsequently formulate a targeted drug delivery plan to treatmore » the disease. This study numerically evaluated the feasibility of the proposed breath test in an <span class="hlt">image</span>-based lung model with varying pathological stages of a bronchial squamous tumor. Large eddy simulations and a Lagrangian tracking approach were used to model respiratory airflows and <span class="hlt">aerosol</span> dynamics. Respirations of tracer <span class="hlt">aerosols</span> of 1 μm at a flow rate of 20 L/min were simulated, with the distributions of exhaled <span class="hlt">aerosols</span> recorded on a filter at the mouth exit. <span class="hlt">Aerosol</span> patterns were quantified with multiple analytical techniques such as concentration disparity, spatial scanning and fractal analysis. We demonstrated that a growing bronchial tumor induced notable variations in both the airflow and exhaled <span class="hlt">aerosol</span> distribution. These variations became more apparent with increasing tumor severity. The exhaled <span class="hlt">aerosols</span> exhibited distinctive pattern parameters such as spatial probability, fractal dimension, and multifractal spectrum. Results of this study show that morphometric measures of the exhaled <span class="hlt">aerosol</span> pattern can be used to detect and monitor the pathological states of respiratory diseases in the upper airway. The proposed breath test also has the potential to locate the site of the disease, which is critical in developing a personalized, site-specific drug delivery protocol.« less</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.osti.gov/biblio/1225155-cfd-modeling-image-analysis-exhaled-aerosols-due-growing-bronchial-tumor-towards-non-invasive-diagnosis-treatment-respiratory-obstructive-diseases','SCIGOV-STC'); return false;" href="https://www.osti.gov/biblio/1225155-cfd-modeling-image-analysis-exhaled-aerosols-due-growing-bronchial-tumor-towards-non-invasive-diagnosis-treatment-respiratory-obstructive-diseases"><span>CFD Modeling and <span class="hlt">Image</span> Analysis of Exhaled <span class="hlt">Aerosols</span> due to a Growing Bronchial Tumor: towards Non-Invasive Diagnosis and Treatment of Respiratory Obstructive Diseases</span></a></p> <p><a target="_blank" href="http://www.osti.gov/search">DOE Office of Scientific and Technical Information (OSTI.GOV)</a></p> <p>Xi, Jinxiang; Kim, JongWon; Si, Xiuhua A.</p> <p></p> <p>Diagnosis and prognosis of tumorigenesis are generally performed with CT, PET, or biopsy. Such methods are accurate, but have the limitations of high cost and posing additional health risks to patients. In this study, we introduce an alternative computer aided diagnostic tool that can locate malignant sites caused by tumorigenesis in a non-invasive and low-cost way. Our hypothesis is that exhaled <span class="hlt">aerosol</span> distribution is unique to lung structure and is sensitive to airway structure vari-ations. With appropriate approaches, it is possible to locate the disease site, determine the disease severity, and subsequently formulate a targeted drug delivery plan to treatmore » the disease. This study numerically evaluated the feasibility of the proposed breath test in an <span class="hlt">image</span>-based lung model with varying pathological stages of a bronchial squamous tumor. Large eddy simulations and a Lagran-gian tracking approach were used to model respiratory airflows and <span class="hlt">aerosol</span> dynamics. Respira-tions of tracer <span class="hlt">aerosols</span> of 1 µm at a flow rate of 20 L/min were simulated, with the distributions of exhaled <span class="hlt">aerosols</span> recorded on a filter at the mouth exit. <span class="hlt">Aerosol</span> patterns were quantified with multiple analytical techniques such as concentration disparity, spatial scanning and fractal analysis. We demonstrated that a growing bronchial tumor induced notable variations in both the airflow and exhaled <span class="hlt">aerosol</span> distribution. These variations became more apparent with increasing tumor severity. The exhaled <span class="hlt">aerosols</span> exhibited distinctive pattern parameters such as spatial probability, fractal dimension, and multifractal spectrum. Results of this study show that morphometric measures of the exhaled <span class="hlt">aerosol</span> pattern can be used to detect and monitor the pathological states of respiratory diseases in the upper airway. The proposed breath test also has the potential to locate the site of the disease, which is critical in developing a personalized, site-specific drug de-livery protocol.« less</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.osti.gov/biblio/1337727-cfd-modeling-image-analysis-exhaled-aerosols-due-growing-bronchial-tumor-towards-non-invasive-diagnosis-treatment-respiratory-obstructive-diseases','SCIGOV-STC'); return false;" href="https://www.osti.gov/biblio/1337727-cfd-modeling-image-analysis-exhaled-aerosols-due-growing-bronchial-tumor-towards-non-invasive-diagnosis-treatment-respiratory-obstructive-diseases"><span>CFD Modeling and <span class="hlt">Image</span> Analysis of Exhaled <span class="hlt">Aerosols</span> due to a Growing Bronchial Tumor: towards Non-Invasive Diagnosis and Treatment of Respiratory Obstructive Diseases</span></a></p> <p><a target="_blank" href="http://www.osti.gov/search">DOE Office of Scientific and Technical Information (OSTI.GOV)</a></p> <p>Xi, Jinxiang; Kim, JongWon; Si, Xiuhua A.</p> <p></p> <p>Diagnosis and prognosis of tumorigenesis are generally performed with CT, PET, or biopsy. Such methods are accurate, but have the limitations of high cost and posing additional health risks to patients. In this study, we introduce an alternative computer aided diagnostic tool that can locate malignant sites caused by tumorigenesis in a non-invasive and low-cost way. Our hypothesis is that exhaled <span class="hlt">aerosol</span> distribution is unique to lung structure and is sensitive to airway structure variations. With appropriate approaches, it is possible to locate the disease site, determine the disease severity, and subsequently formulate a targeted drug delivery plan to treatmore » the disease. This study numerically evaluated the feasibility of the proposed breath test in an <span class="hlt">image</span>-based lung model with varying pathological stages of a bronchial squamous tumor. Large eddy simulations and a Lagrangian tracking approach were used to model respiratory airflows and <span class="hlt">aerosol</span> dynamics. Respirations of tracer <span class="hlt">aerosols</span> of 1 µm at a flow rate of 20 L/min were simulated, with the distributions of exhaled <span class="hlt">aerosols</span> recorded on a filter at the mouth exit. <span class="hlt">Aerosol</span> patterns were quantified with multiple analytical techniques such as concentration disparity, spatial scanning and fractal analysis. We demonstrated that a growing bronchial tumor induced notable variations in both the airflow and exhaled <span class="hlt">aerosol</span> distribution. These variations became more apparent with increasing tumor severity. The exhaled <span class="hlt">aerosols</span> exhibited distinctive pattern parameters such as spatial probability, fractal dimension, and multifractal spectrum. Results of this study show that morphometric measures of the exhaled <span class="hlt">aerosol</span> pattern can be used to detect and monitor the pathological states of respiratory diseases in the upper airway. The proposed breath test also has the potential to locate the site of the disease, which is critical in developing a personalized, site-specific drug de- livery protocol.« less</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2016EGUGA..1810714Y','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2016EGUGA..1810714Y"><span>The results of the critical design of the mission instruments of GOSAT-2</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Yajima, Yukie; Suto, Hiroshi; Yotsumoto, Kazuhiko; Miyakawa, Takehiro; Hashimoto, Makiko; Shiomi, Kei; Nakajima, Masakatsu; Hirabayashi, Takeshi</p> <p>2016-04-01</p> <p>The GOSAT-2 is the successor satellite to the GOSAT which is the satellite dedicated to the measurements of the greenhouse gases such as carbon dioxide and methane. GOSAT was launched in January of 2009 and has been operated for about seven years. The development of the GOSAT-2 has been continued for two years, and through the preliminary and critical design phase the detail of the design of the mission instruments were fixed as well as the bus system design. The mission instruments of the GOSAT-2 are TANSO-FTS-2 and TANSO-<span class="hlt">CAI</span>-2. TANSO-FTS-2 is the Fourier Transform Spectrometer observing greenhouse gases such as Carbon Dioxide and Methane and TANSO-<span class="hlt">CAI</span>-2 is the <span class="hlt">imager</span> observing the <span class="hlt">aerosols</span> and clouds to compensate the TANSO-FTS-2 data and to grasp the movements of the <span class="hlt">aerosols</span> such as PM2.5. The mission instruments will adopt the same kinds of instruments as GOSAT. But some improvements will be carried. Based on the results of the preliminary design, the design had been refined in the critical design phase and the results of the design meets all of the requirements on the mission instruments derived from the mission requirements to understand CO2 and CH4 sources and sinks and carbon cycle precisely. To improve the measurement accuracy, the signal to noise ratio will be increased by the extension of the aperture size from 64mm to 73mm and cooling the after optics as well as the thermal detectors. And to increase the number of the useful data, GOSAT-2 will equip the function to avoid the clouds during the observation using the <span class="hlt">images</span> obtained by the monitor camera in FTS. To observe the carbon monoxide, the 2.3μm observation channel will be added. This function will be realized by the extension of the 2.0μm observation band to 2.3μm. The pointing angle in the along track direction will be extend from 20 degrees of GOSAT to 40 degrees to expand the observation area over the ocean where the sun glint is observed. This will make it possible to increase the number</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://ntrs.nasa.gov/search.jsp?R=20170003278&hterms=algorithm&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D80%26Ntt%3Dalgorithm','NASA-TRS'); return false;" href="https://ntrs.nasa.gov/search.jsp?R=20170003278&hterms=algorithm&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D80%26Ntt%3Dalgorithm"><span><span class="hlt">Aerosol</span> Optical Properties Derived from the DRAGON-NE Asia Campaign, and Implications for a Single-Channel Algorithm to Retrieve <span class="hlt">Aerosol</span> Optical Depth in Spring from Meteorological <span class="hlt">Imager</span> (MI) On-Board the Communication, Ocean, and Meteorological Satellite (COMS)</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Kim, M.; Kim, J.; Jeong, U.; Kim, W.; Hong, H.; Holben, B.; Eck, T. F.; Lim, J.; Song, C.; Lee, S.; <a style="text-decoration: none; " href="javascript:void(0); " onClick="displayelement('author_20170003278'); toggleEditAbsImage('author_20170003278_show'); toggleEditAbsImage('author_20170003278_hide'); "> <img style="display:inline; width:12px; height:12px; " src="images/arrow-up.gif" width="12" height="12" border="0" alt="hide" id="author_20170003278_show"> <img style="width:12px; height:12px; display:none; " src="images/arrow-down.gif" width="12" height="12" border="0" alt="hide" id="author_20170003278_hide"></p> <p>2016-01-01</p> <p>An <span class="hlt">aerosol</span> model optimized for northeast Asia is updated with the inversion data from the Distributed Regional <span class="hlt">Aerosol</span> Gridded Observation Networks (DRAGON)-northeast (NE) Asia campaign which was conducted during spring from March to May 2012. This updated <span class="hlt">aerosol</span> model was then applied to a single visible channel algorithm to retrieve <span class="hlt">aerosol</span> optical depth (AOD) from a Meteorological <span class="hlt">Imager</span> (MI) on-board the geostationary meteorological satellite, Communication, Ocean, and Meteorological Satellite (COMS). This model plays an important role in retrieving accurate AOD from a single visible channel measurement. For the single-channel retrieval, sensitivity tests showed that perturbations by 4 % (0.926 +/- 0.04) in the assumed single scattering albedo (SSA) can result in the retrieval error in AOD by over 20 %. Since the measured reflectance at the top of the atmosphere depends on both AOD and SSA, the overestimation of assumed SSA in the <span class="hlt">aerosol</span> model leads to an underestimation of AOD. Based on the <span class="hlt">AErosol</span> RObotic NETwork (AERONET) inversion data sets obtained over East Asia before 2011, seasonally analyzed <span class="hlt">aerosol</span> optical properties (AOPs) were categorized by SSAs at 675 nm of 0.92 +/- 0.035 for spring (March, April, and May). After the DRAGON-NE Asia campaign in 2012, the SSA during spring showed a slight increase to 0.93 +/- 0.035. In terms of the volume size distribution, the mode radius of coarse particles was increased from 2.08 +/- 0.40 to 2.14 +/- 0.40. While the original <span class="hlt">aerosol</span> model consists of volume size distribution and refractive indices obtained before 2011, the new model is constructed by using a total data set after the DRAGON-NE Asia campaign. The large volume of data in high spatial resolution from this intensive campaign can be used to improve the representative <span class="hlt">aerosol</span> model for East Asia. Accordingly, the new AOD data sets retrieved from a single-channel algorithm, which uses a precalculated look-up table (LUT) with the new <span class="hlt">aerosol</span> model, show</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2012AGUFM.A33C0157G','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2012AGUFM.A33C0157G"><span>Sampling Analysis of <span class="hlt">Aerosol</span> Retrievals by Single-track Spaceborne Instrument for Climate Research</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Geogdzhayev, I. V.; Cairns, B.; Alexandrov, M. D.; Mishchenko, M. I.</p> <p>2012-12-01</p> <p>We examine to what extent the reduced sampling of along-track instruments such as Cloud-<span class="hlt">Aerosol</span> LIdar with Orthogonal Polarisation (CALIOP) and <span class="hlt">Aerosol</span> Polarimetry Sensor (APS) affects the statistical accuracy of a satellite climatology of retrieved <span class="hlt">aerosol</span> optical thickness (AOT) by sub-sampling the retrievals from a wide-swath <span class="hlt">imaging</span> instrument (MODerate resolution <span class="hlt">Imaging</span> Spectroradiometer (MODIS)). Owing to its global coverage, longevity, and extensive characterization versus ground based data, the MODIS level-2 <span class="hlt">aerosol</span> product is an instructive testbed for assessing sampling effects on climatic means derived from along-track instrument data. The advantage of using daily pixel-level <span class="hlt">aerosol</span> retrievals from MODIS is that limitations caused by the presence of clouds are implicit in the sample, so that their seasonal and regional variations are captured coherently. However, <span class="hlt">imager</span> data can exhibit cross-track variability of monthly global mean AOTs caused by a scattering-angle dependence. We found that single along-track values can deviate from the <span class="hlt">imager</span> mean by 15% over land and by more than 20% over ocean. This makes it difficult to separate natural variability from viewing-geometry artifacts complicating direct comparisons of an along-track sub-sample with the full <span class="hlt">imager</span> data. To work around this problem, we introduce "flipped-track" sampling which, by design, is statistically equivalent to along-track sampling and while closely approximating the <span class="hlt">imager</span> in terms of angular artifacts. We show that the flipped-track variability of global monthly mean AOT is much smaller than the cross-track one for the 7-year period considered. Over the ocean flipped-track standard error is 85% less than the cross-track one (absolute values 0.0012 versus 0.0079), and over land it is about one third of the cross-track value (0.0054 versus 0.0188) on average. This allows us to attribute the difference between the two errors to the viewing-geometry artifacts and obtain an upper</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://ntrs.nasa.gov/search.jsp?R=19950057640&hterms=remote+viewing&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D40%26Ntt%3Dremote%2Bviewing','NASA-TRS'); return false;" href="https://ntrs.nasa.gov/search.jsp?R=19950057640&hterms=remote+viewing&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D40%26Ntt%3Dremote%2Bviewing"><span>Remote sensing of cloud, <span class="hlt">aerosol</span> and water vapor properties from the Moderate Resolution <span class="hlt">Imaging</span> Spectrometer (MODIS)</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>King, M. D.</p> <p>1992-01-01</p> <p>The Moderate Resolution <span class="hlt">Imaging</span> Spectrometer (MODIS) is an Earth-viewing sensor being developed as a facility instrument for the Earth Observing System (EOS) to be launched in the late 1990s. MODIS consists of two separate instruments that scan a swath width sufficient to provide nearly complete global coverage every two days from a polar-orbiting, Sun-synchronous, platform at an altitude of 705 km. Of primary interest for studies of atmospheric physics is the MODIS-N (nadir) instrument which will provide <span class="hlt">images</span> in 36 spectral bands between 0.415 and 14.235 micrometers with spatial resoulutions of 250 m (2 bands), 500 m (5 bands) and 1000 m (29 bands). These bands have been carefully selected to enable advanced studies of land, ocean and atmosperhic processes. The intent of this lecture is to describe the current status of MODIS-N and its companion instrument MODIS-T (tilt), a tiltable cross-track scanning radiometer with 32 uniformly spaced channels between 0.410 and 0.875 micrometers, and to describe the physical principles behind the development of MODIS for the remote sensing of atmospheric properties. Primary emphasis will be placed on the main atmospheric applications of determining the optical, microphysical and physical properties of clouds and <span class="hlt">aerosol</span> particles form spectral-reflection and thermal-emission measurements. In addition to cloud and <span class="hlt">aerosol</span> properties, MODIS-N will be utilized for the determination of the total precipitable water vapor over land and atmospheric stability. The physical principles behind the determination of each of these atmospheric products will be described herein.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20180000852','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20180000852"><span><span class="hlt">Aerosol</span> Optical Depth Changes in Version 4 CALIPSO Level 2 Product</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Kim, Man-Hae; Omar, Ali H.; Tackett, Jason L.; Vaughan, Mark A.; Winker, David M.; Trepte, Charles R.; Hu, Yongxiang; Liu, Zhaoyan</p> <p>2017-01-01</p> <p>The Cloud-<span class="hlt">Aerosol</span> Lidar with Orthogonal Polarization (CALIOP) version 4.10 (V4) products were released in November 2016 with substantial enhancements. There have been improvements in the V4 CALIOP level 2 <span class="hlt">aerosol</span> optical depth (AOD) compared to V3 (version 3) due to various factors. AOD change from V3 to V4 is investigated by separating factors. CALIOP AOD was compared with the Moderate Resolution <span class="hlt">Imaging</span> Spectroradiometer (MODIS) and <span class="hlt">Aerosol</span> Robotic Network (AERONET) for both V3 and V4.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017JGRD..122.8801W','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017JGRD..122.8801W"><span>The impact of <span class="hlt">aerosol</span> vertical distribution on <span class="hlt">aerosol</span> optical depth retrieval using CALIPSO and MODIS data: Case study over dust and smoke regions</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Wu, Yerong; de Graaf, Martin; Menenti, Massimo</p> <p>2017-08-01</p> <p>Global quantitative <span class="hlt">aerosol</span> information has been derived from MODerate Resolution <span class="hlt">Imaging</span> SpectroRadiometer (MODIS) observations for decades since early 2000 and widely used for air quality and climate change research. However, the operational MODIS <span class="hlt">Aerosol</span> Optical Depth (AOD) products Collection 6 (C6) can still be biased, because of uncertainty in assumed <span class="hlt">aerosol</span> optical properties and <span class="hlt">aerosol</span> vertical distribution. This study investigates the impact of <span class="hlt">aerosol</span> vertical distribution on the AOD retrieval. We developed a new algorithm by considering dynamic vertical profiles, which is an adaptation of MODIS C6 Dark Target (C6_DT) algorithm over land. The new algorithm makes use of the <span class="hlt">aerosol</span> vertical profile extracted from Cloud-<span class="hlt">Aerosol</span> Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) measurements to generate an accurate top of the atmosphere (TOA) reflectance for the AOD retrieval, where the profile is assumed to be a single layer and represented as a Gaussian function with the mean height as single variable. To test the impact, a comparison was made between MODIS DT and <span class="hlt">Aerosol</span> Robotic Network (AERONET) AOD, over dust and smoke regions. The results show that the <span class="hlt">aerosol</span> vertical distribution has a strong impact on the AOD retrieval. The assumed <span class="hlt">aerosol</span> layers close to the ground can negatively bias the retrievals in C6_DT. Regarding the evaluated smoke and dust layers, the new algorithm can improve the retrieval by reducing the negative biases by 3-5%.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.osti.gov/biblio/22080372-quantum-computational-universality-cai-miyake-duer-briegel-two-dimensional-quantum-state-from-affleck-kennedy-lieb-tasaki-quasichains','SCIGOV-STC'); return false;" href="https://www.osti.gov/biblio/22080372-quantum-computational-universality-cai-miyake-duer-briegel-two-dimensional-quantum-state-from-affleck-kennedy-lieb-tasaki-quasichains"><span>Quantum computational universality of the <span class="hlt">Cai</span>-Miyake-Duer-Briegel two-dimensional quantum state from Affleck-Kennedy-Lieb-Tasaki quasichains</span></a></p> <p><a target="_blank" href="http://www.osti.gov/search">DOE Office of Scientific and Technical Information (OSTI.GOV)</a></p> <p>Wei, Tzu-Chieh; C. N. Yang Institute for Theoretical Physics, State University of New York at Stony Brook, Stony Brook, New York 11794-3840; Raussendorf, Robert</p> <p>2011-10-15</p> <p>Universal quantum computation can be achieved by simply performing single-qubit measurements on a highly entangled resource state, such as cluster states. <span class="hlt">Cai</span>, Miyake, Duer, and Briegel recently constructed a ground state of a two-dimensional quantum magnet by combining multiple Affleck-Kennedy-Lieb-Tasaki quasichains of mixed spin-3/2 and spin-1/2 entities and by mapping pairs of neighboring spin-1/2 particles to individual spin-3/2 particles [Phys. Rev. A 82, 052309 (2010)]. They showed that this state enables universal quantum computation by single-spin measurements. Here, we give an alternative understanding of how this state gives rise to universal measurement-based quantum computation: by local operations, each quasichain canmore » be converted to a one-dimensional cluster state and entangling gates between two neighboring logical qubits can be implemented by single-spin measurements. We further argue that a two-dimensional cluster state can be distilled from the <span class="hlt">Cai</span>-Miyake-Duer-Briegel state.« less</p> </li> </ol> <div class="pull-right"> <ul class="pagination"> <li><a href="#" onclick='return showDiv("page_1");'>«</a></li> <li><a href="#" onclick='return showDiv("page_14");'>14</a></li> <li><a href="#" onclick='return showDiv("page_15");'>15</a></li> <li class="active"><span>16</span></li> <li><a href="#" onclick='return showDiv("page_17");'>17</a></li> <li><a href="#" onclick='return showDiv("page_18");'>18</a></li> <li><a href="#" onclick='return showDiv("page_25");'>»</a></li> </ul> </div> </div><!-- col-sm-12 --> </div><!-- row --> </div><!-- page_16 --> <div id="page_17" class="hiddenDiv"> <div class="row"> <div class="col-sm-12"> <div class="pull-right"> <ul class="pagination"> <li><a href="#" onclick='return showDiv("page_1");'>«</a></li> <li><a href="#" onclick='return showDiv("page_15");'>15</a></li> <li><a href="#" onclick='return showDiv("page_16");'>16</a></li> <li class="active"><span>17</span></li> <li><a href="#" onclick='return showDiv("page_18");'>18</a></li> <li><a href="#" onclick='return showDiv("page_19");'>19</a></li> <li><a href="#" onclick='return showDiv("page_25");'>»</a></li> </ul> </div> </div> </div> <div class="row"> <div class="col-sm-12"> <ol class="result-class" start="321"> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017ACP....1712097S','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017ACP....1712097S"><span>Classifying <span class="hlt">aerosol</span> type using in situ surface spectral <span class="hlt">aerosol</span> optical properties</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Schmeisser, Lauren; Andrews, Elisabeth; Ogren, John A.; Sheridan, Patrick; Jefferson, Anne; Sharma, Sangeeta; Kim, Jeong Eun; Sherman, James P.; Sorribas, Mar; Kalapov, Ivo; Arsov, Todor; Angelov, Christo; Mayol-Bracero, Olga L.; Labuschagne, Casper; Kim, Sang-Woo; Hoffer, András; Lin, Neng-Huei; Chia, Hao-Ping; Bergin, Michael; Sun, Junying; Liu, Peng; Wu, Hao</p> <p>2017-10-01</p> <p>Knowledge of <span class="hlt">aerosol</span> size and composition is important for determining radiative forcing effects of <span class="hlt">aerosols</span>, identifying <span class="hlt">aerosol</span> sources and improving <span class="hlt">aerosol</span> satellite retrieval algorithms. The ability to extrapolate <span class="hlt">aerosol</span> size and composition, or type, from intensive <span class="hlt">aerosol</span> optical properties can help expand the current knowledge of spatiotemporal variability in <span class="hlt">aerosol</span> type globally, particularly where chemical composition measurements do not exist concurrently with optical property measurements. This study uses medians of the scattering Ångström exponent (SAE), absorption Ångström exponent (AAE) and single scattering albedo (SSA) from 24 stations within the NOAA/ESRL Federated <span class="hlt">Aerosol</span> Monitoring Network to infer <span class="hlt">aerosol</span> type using previously published <span class="hlt">aerosol</span> classification schemes.Three methods are implemented to obtain a best estimate of dominant <span class="hlt">aerosol</span> type at each station using <span class="hlt">aerosol</span> optical properties. The first method plots station medians into an AAE vs. SAE plot space, so that a unique combination of intensive properties corresponds with an <span class="hlt">aerosol</span> type. The second typing method expands on the first by introducing a multivariate cluster analysis, which aims to group stations with similar optical characteristics and thus similar dominant <span class="hlt">aerosol</span> type. The third and final classification method pairs 3-day backward air mass trajectories with median <span class="hlt">aerosol</span> optical properties to explore the relationship between trajectory origin (proxy for likely <span class="hlt">aerosol</span> type) and <span class="hlt">aerosol</span> intensive parameters, while allowing for multiple dominant <span class="hlt">aerosol</span> types at each station.The three <span class="hlt">aerosol</span> classification methods have some common, and thus robust, results. In general, estimating dominant <span class="hlt">aerosol</span> type using optical properties is best suited for site locations with a stable and homogenous <span class="hlt">aerosol</span> population, particularly continental polluted (carbonaceous <span class="hlt">aerosol</span>), marine polluted (carbonaceous <span class="hlt">aerosol</span> mixed with sea salt) and continental dust/biomass sites</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20140012070','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20140012070"><span>Impact of Assimilated and Interactive <span class="hlt">Aerosol</span> on Tropical Cyclogenesis</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Reale, O.; Lau, K. M.; daSilva, A.; Matsui, T.</p> <p>2014-01-01</p> <p>This article investigates the impact 3 of Saharan dust on the development of tropical cyclones in the Atlantic. A global data assimilation and forecast system, the NASA GEOS-5, is used to assimilate all satellite and conventional data sets used operationally for numerical weather prediction. In addition, this new GEOS-5 version includes assimilation of <span class="hlt">aerosol</span> optical depth from the Moderate Resolution <span class="hlt">Imaging</span> Spectroradiometer (MODIS). The analysis so obtained comprises atmospheric quantities and a realistic 3-d <span class="hlt">aerosol</span> and cloud distribution, consistent with the meteorology and validated against Cloud-<span class="hlt">Aerosol</span> Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) and CloudSat data. These improved analyses are used to initialize GEOS-5 forecasts, explicitly accounting for <span class="hlt">aerosol</span> direct radiative effects and their impact on the atmospheric dynamics. Parallel simulations with/without <span class="hlt">aerosol</span> radiative effects show that effects of dust on static stability increase with time, becoming highly significant after day 5 and producing an environment less favorable to tropical cyclogenesis.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2013PhDT........33Z','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2013PhDT........33Z"><span>Determination of the single scattering albedo and direct radiative forcing of biomass burning <span class="hlt">aerosol</span> with data from the MODIS (Moderate Resolution <span class="hlt">Imaging</span> Spectroradiometer) satellite instrument</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Zhu, Li</p> <p></p> <p>Biomass burning <span class="hlt">aerosols</span> absorb and scatter solar radiation and therefore affect the energy balance of the Earth-atmosphere system. The single scattering albedo (SSA), the ratio of the scattering coefficient to the extinction coefficient, is an important parameter to describe the optical properties of <span class="hlt">aerosols</span> and to determine the effect of <span class="hlt">aerosols</span> on the energy balance of the planet and climate. <span class="hlt">Aerosol</span> effects on radiation also depend strongly on surface albedo. Large uncertainties remain in current estimates of radiative impacts of biomass burning <span class="hlt">aerosols</span>, due largely to the lack of reliable measurements of <span class="hlt">aerosol</span> and surface properties. In this work we investigate how satellite measurements can be used to estimate the direct radiative forcing of biomass burning <span class="hlt">aerosols</span>. We developed a method using the critical reflectance technique to retrieve SSA from the Moderate Resolution <span class="hlt">Imaging</span> Spectroradiometer (MODIS) observed reflectance at the top of the atmosphere (TOA). We evaluated MODIS retrieved SSAs with <span class="hlt">AErosol</span> RObotic NETwork (AERONET) retrievals and found good agreements within the published uncertainty of the AERONET retrievals. We then developed an algorithm, the MODIS Enhanced Vegetation Albedo (MEVA), to improve the representations of spectral variations of vegetation surface albedo based on MODIS observations at the discrete 0.67, 0.86, 0.47, 0.55, 1.24, 1.64, and 2.12 mu-m channels. This algorithm is validated using laboratory measurements of the different vegetation types from the Amazon region, data from the Johns Hopkins University (JHU) spectral library, and data from the U.S. Geological Survey (USGS) digital spectral library. We show that the MEVA method can improve the accuracy of flux and <span class="hlt">aerosol</span> forcing calculations at the TOA compared to more traditional interpolated approaches. Lastly, we combine the MODIS retrieved biomass burning <span class="hlt">aerosol</span> SSA and the surface albedo spectrum determined from the MEVA technique to calculate TOA flux and</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.ncbi.nlm.nih.gov/pubmed/19151835','PUBMED'); return false;" href="https://www.ncbi.nlm.nih.gov/pubmed/19151835"><span>Satellite remote sensing of dust <span class="hlt">aerosol</span> indirect effects on ice cloud formation.</span></a></p> <p><a target="_blank" href="https://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pubmed">PubMed</a></p> <p>Ou, Steve Szu-Cheng; Liou, Kuo-Nan; Wang, Xingjuan; Hansell, Richard; Lefevre, Randy; Cocks, Stephen</p> <p>2009-01-20</p> <p>We undertook a new approach to investigate the <span class="hlt">aerosol</span> indirect effect of the first kind on ice cloud formation by using available data products from the Moderate-Resolution <span class="hlt">Imaging</span> Spectrometer (MODIS) and obtained physical understanding about the interaction between <span class="hlt">aerosols</span> and ice clouds. Our analysis focused on the examination of the variability in the correlation between ice cloud parameters (optical depth, effective particle size, cloud water path, and cloud particle number concentration) and <span class="hlt">aerosol</span> optical depth and number concentration that were inferred from available satellite cloud and <span class="hlt">aerosol</span> data products. Correlation results for a number of selected scenes containing dust and ice clouds are presented, and dust <span class="hlt">aerosol</span> indirect effects on ice clouds are directly demonstrated from satellite observations.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2014EGUGA..1615786M','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2014EGUGA..1615786M"><span>MAESTRO Measurements of Atmospheric <span class="hlt">Aerosol</span></span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>McElroy, Tom; Drummond, James; Zou, Jason</p> <p>2014-05-01</p> <p>MAESTRO (Measurements of <span class="hlt">Aerosol</span> Extinction in the Stratosphere and Troposphere Retrieved by Occultation) is now in its 11th year on orbit as part of the Atmospheric Chemistry Experiment on the Canadian Space Agency's SCISAT satellite. MAESTRO data analysis has been dogged by a deficiency in accurate timing between the measurements made by the partner instrument, the ACE-FTS (Atmospheric Chemistry Experiment, Fourier Transform Spectrometer), that provides the atmospheric pressure-temperature profile and observation tangent altitudes used in the MAESTRO data analysis. Attempts have been made to use apparent air column density and oxygen A-band absorption as a mechanism to line up the tangent heights, but to no avail. A new product is now being produced, based on matching the modeled ozone slant columns from the ACE-FTS retrievals with the MAESTRO slant column measurements. The approach is very promising and indicates that a valuable product from the MAESTRO wavelength-dependent <span class="hlt">aerosol</span> extinction likely result. The usefulness of the profile matching technique will be demonstrated and some <span class="hlt">aerosol</span> absorption profiles will be presented in comparison with measurements made by the ACE <span class="hlt">Imager</span> <span class="hlt">aerosol</span> profile results. While the process optimizes the comparison between ACE-FTS ozone profile data and that from MAESTRO, it does not detract from the higher vertical resolution information provided by MAESTRO.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20080040177','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20080040177"><span>A Satellite-based Assessment of Trans-Pacific Transport of Pollution <span class="hlt">Aerosol</span></span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Yu, Hongbin; Remer, Lorraine; Chin, Mian; Bian, Huisheng; Kleidman, Richard; Diehl. Thomas</p> <p>2007-01-01</p> <p>It has been well documented that pollution <span class="hlt">aerosol</span> and dust from East Asia can transport across the North Pacific basin, reaching North America and beyond. Such intercontinental transport extends the impact of <span class="hlt">aerosols</span> for climate change, air quality, atmospheric chemistry, and ocean biology from local and regional scales to hemispheric and global scales. Long term, measurement-based studies are necessary to adequately assess the implications of these wider impacts. A satellite-based assessment can augment intensive field campaigns by expanding temporal and spatial scales and also serve as constraints for model simulations. Satellite <span class="hlt">imagers</span> have been providing a wealth of evidence for the intercontinental transport of <span class="hlt">aerosols</span> for more than two decades. Quantitative assessments, however, became feasible only recently as a result of the much improved measurement accuracy and enhanced new capabilities of satellite sensors. In this study, we generated a 4-year (2002 to 2005) climatology of optical depth for pollution <span class="hlt">aerosol</span> (defined as a mixture of <span class="hlt">aerosols</span> from urbanlindustrial pollution and biomass burning in this study) over the North Pacific from MODerate resolution <span class="hlt">Imaging</span> Spectro-radiometer (MODIS) observations of fine- and coarse-mode <span class="hlt">aerosol</span> optical depths. The pollution <span class="hlt">aerosol</span> mass loading and fluxes were then calculated using measurements of the dependence of <span class="hlt">aerosol</span> mass extinction efficiency on relative humidity and of <span class="hlt">aerosol</span> vertical distributions from field campaigns and available satellite observations in the region. We estimated that about 18 Tg/year pollution <span class="hlt">aerosol</span> is exported from East Asia to the northwestern Pacific Ocean, of which about 25% reaches the west coast of North America. The pollution fluxes are largest in spring and smallest in summer. For the period we have examined the strongest export and import of pollution particulates occurred in 2003, due largely to record intense Eurasia wildfires in spring and summer. The overall</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.ncbi.nlm.nih.gov/pubmed/11430516','PUBMED'); return false;" href="https://www.ncbi.nlm.nih.gov/pubmed/11430516"><span>The use of a modified technique to reduce radioactive air contamination in <span class="hlt">aerosol</span> lung ventilation <span class="hlt">imaging</span>.</span></a></p> <p><a target="_blank" href="https://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pubmed">PubMed</a></p> <p>Avison, M; Hart, G</p> <p>2001-06-01</p> <p>The aim of this study was to reduce airborne contamination resulting from the use of <span class="hlt">aerosols</span> in lung ventilation scintigraphy. Lung ventilation <span class="hlt">imaging</span> is frequently performed with 99mTc-diethylenetriaminepentaacetate <span class="hlt">aerosol</span> (DTPA), derived from a commercial nebuliser. Airborne contamination is a significant problem with this procedure; it results in exposure of staff to radiation and can reduce gamma camera performance when the ventilation is performed in the camera room. We examined the level of airborne contamination resulting from the standard technique with one of the most popular nebuliser kits and tested a modification which significantly reduced airborne contamination. Air contamination was measured while ventilating 122 patients. The modified technique reduced air contamination by a mean value of 64% (p = 0.028) compared with the standard control technique. Additionally, differences in contamination were examined when a mask or mouthpiece was used as well as differences between operators. A simplified method of monitoring air contamination is presented using a commonly available surface contamination monitor. The index so derived was proportional to air contamination (r = 0.88). The problems and regulations associated with airborne contamination are discussed.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.ncbi.nlm.nih.gov/pubmed/27666995','PUBMED'); return false;" href="https://www.ncbi.nlm.nih.gov/pubmed/27666995"><span>Effects of Lactobacillus curvatus and Leuconostoc mesenteroides on Suan <span class="hlt">Cai</span> Fermentation in Northeast China.</span></a></p> <p><a target="_blank" href="https://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pubmed">PubMed</a></p> <p>Yang, Hongyan; Wu, Hao; Gao, Lijuan; Jia, Hongbai; Zhang, Yuan; Cui, Zongjun; Li, Yuhua</p> <p>2016-12-28</p> <p>To investigate the effects of Lactobacillus curvatus and Leuconostoc mesenteroides on suan <span class="hlt">cai</span> (pickled Chinese cabbage) fermentation, L. curvatus and/or Ln. mesenteroides were inoculated into suan <span class="hlt">cai</span>. Physicochemical indexes were measured, and the microbial dynamics during the fermentation were analyzed by Illumina MiSeq sequencing and quantitative polymerase chain reaction (qPCR). The results showed that inoculation with lactic acid bacteria (LAB) lowered the pH of the fermentation system more rapidly. The decrease in water-soluble carbohydrates in the inoculated treatments occurred more rapidly than in the control. The LAB counts in the control were lower than in other inoculated treatments during the first 12 days of fermentation. According to the Illumina MiSeq sequencing analyses, Firmicutes , Proteobacteria , Bacteroidetes , Actinobacteria , Cyanobacteria , Fusobacteria , and Verrucomicrobia were present in the fermentations, along with other unclassified bacteria. Generally, Firmicutes was predominant during the fermentation in all treatments. At the genus level, 16 genera were detected. The relative abundance of Lactobacillus in all inoculated treatments was higher than in the control. The relative abundance of Lactobacillus in the treatments containing L. curvatus was higher than in the Ln. mesenteroides -only treatment. The relative abundance of Leuconostoc in the Ln. mesenteroides -containing treatments increased continuously throughout the fermentation. Leuconostoc was highest in the Ln. mesenteroides -only treatment. According to the qPCR results, L. curvatus and/or Ln. mesenteroides inoculations could effectively inhabit the fermentation system. L. curvatus dominated the fermentation in the inoculated treatments.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.ncbi.nlm.nih.gov/pubmed/23197471','PUBMED'); return false;" href="https://www.ncbi.nlm.nih.gov/pubmed/23197471"><span>Towards a five-minute comprehensive cardiac MR examination using highly accelerated parallel <span class="hlt">imaging</span> with a 32-element coil array: feasibility and initial comparative evaluation.</span></a></p> <p><a target="_blank" href="https://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pubmed">PubMed</a></p> <p>Xu, Jian; Kim, Daniel; Otazo, Ricardo; Srichai, Monvadi B; Lim, Ruth P; Axel, Leon; Mcgorty, Kelly Anne; Niendorf, Thoralf; Sodickson, Daniel K</p> <p>2013-07-01</p> <p>To evaluate the feasibility and perform initial comparative evaluations of a 5-minute comprehensive whole-heart magnetic resonance <span class="hlt">imaging</span> (MRI) protocol with four <span class="hlt">image</span> acquisition types: perfusion (PERF), function (CINE), coronary artery <span class="hlt">imaging</span> (<span class="hlt">CAI</span>), and late gadolinium enhancement (LGE). This study protocol was Health Insurance Portability and Accountability Act (HIPAA)-compliant and Institutional Review Board-approved. A 5-minute comprehensive whole-heart MRI examination protocol (Accelerated) using 6-8-fold-accelerated volumetric parallel <span class="hlt">imaging</span> was incorporated into and compared with a standard 2D clinical routine protocol (Standard). Following informed consent, 20 patients were <span class="hlt">imaged</span> with both protocols. Datasets were reviewed for <span class="hlt">image</span> quality using a 5-point Likert scale (0 = non-diagnostic, 4 = excellent) in blinded fashion by two readers. Good <span class="hlt">image</span> quality with full whole-heart coverage was achieved using the accelerated protocol, particularly for <span class="hlt">CAI</span>, although significant degradations in quality, as compared with traditional lengthy examinations, were observed for the other <span class="hlt">image</span> types. Mean total scan time was significantly lower for the Accelerated as compared to Standard protocols (28.99 ± 4.59 min vs. 1.82 ± 0.05 min, P < 0.05). Overall <span class="hlt">image</span> quality for the Standard vs. Accelerated protocol was 3.67 ± 0.29 vs. 1.5 ± 0.51 (P < 0.005) for PERF, 3.48 ± 0.64 vs. 2.6 ± 0.68 (P < 0.005) for CINE, 2.35 ± 1.01 vs. 2.48 ± 0.68 (P = 0.75) for <span class="hlt">CAI</span>, and 3.67 ± 0.42 vs. 2.67 ± 0.84 (P < 0.005) for LGE. Diagnostic <span class="hlt">image</span> quality for Standard vs. Accelerated protocols was 20/20 (100%) vs. 10/20 (50%) for PERF, 20/20 (100%) vs. 18/20 (90%) for CINE, 18/20 (90%) vs. 18/20 (90%) for <span class="hlt">CAI</span>, and 20/20 (100%) vs. 18/20 (90%) for LGE. This study demonstrates the technical feasibility and promising <span class="hlt">image</span> quality of 5-minute comprehensive whole-heart cardiac examinations, with simplified scan prescription and high spatial and temporal resolution enabled by</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2015EGUGA..17.6238W','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2015EGUGA..17.6238W"><span>Development the EarthCARE <span class="hlt">aerosol</span> classification scheme</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Wandinger, Ulla; Baars, Holger; Hünerbein, Anja; Donovan, Dave; van Zadelhoff, Gerd-Jan; Fischer, Jürgen; von Bismarck, Jonas; Eisinger, Michael; Lajas, Dulce; Wehr, Tobias</p> <p>2015-04-01</p> <p>The Earth Clouds, <span class="hlt">Aerosols</span> and Radiation Explorer (EarthCARE) mission is a joint ESA/JAXA mission planned to be launched in 2018. The multi-sensor platform carries a cloud-profiling radar (CPR), a high-spectral-resolution cloud/<span class="hlt">aerosol</span> lidar (ATLID), a cloud/<span class="hlt">aerosol</span> multi-spectral <span class="hlt">imager</span> (MSI), and a three-view broad-band radiometer (BBR). Three out of the four instruments (ATLID, MSI, and BBR) will be able to sense the global <span class="hlt">aerosol</span> distribution and contribute to the overarching EarthCARE goals of sensor synergy and radiation closure with respect to <span class="hlt">aerosols</span>. The high-spectral-resolution lidar ATLID obtains profiles of particle extinction and backscatter coefficients, lidar ratio, and linear depolarization ratio as well as the <span class="hlt">aerosol</span> optical thickness (AOT) at 355 nm. MSI provides AOT at 670 nm (over land and ocean) and 865 nm (over ocean). Next to these primary observables the <span class="hlt">aerosol</span> type is one of the required products to be derived from both lidar stand-alone and ATLID-MSI synergistic retrievals. ATLID measurements of the <span class="hlt">aerosol</span> intensive properties (lidar ratio, depolarization ratio) and ATLID-MSI observations of the spectral AOT will provide the basic input for <span class="hlt">aerosol</span>-type determination. <span class="hlt">Aerosol</span> typing is needed for the quantification of anthropogenic versus natural <span class="hlt">aerosol</span> loadings of the atmosphere, the investigation of <span class="hlt">aerosol</span>-cloud interaction, assimilation purposes, and the validation of atmospheric transport models which carry components like dust, sea salt, smoke and pollution. Furthermore, <span class="hlt">aerosol</span> classification is a prerequisite for the estimation of direct <span class="hlt">aerosol</span> radiative forcing and radiative closure studies. With an appropriate underlying microphysical particle description, the categorization of <span class="hlt">aerosol</span> observations into predefined <span class="hlt">aerosol</span> types allows us to infer information needed for the calculation of shortwave radiative effects, such as mean particle size, single-scattering albedo, and spectral conversion factors. In order to ensure</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2010AGUFM.A41A0060C','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2010AGUFM.A41A0060C"><span>Temporal and spatial variation of morphological descriptors for atmospheric <span class="hlt">aerosols</span> collected in Mexico City</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>China, S.; Mazzoleni, C.; Dubey, M. K.; Chakrabarty, R. K.; Moosmuller, H.; Onasch, T. B.; Herndon, S. C.</p> <p>2010-12-01</p> <p>We present an analysis of morphological characteristics of atmospheric <span class="hlt">aerosol</span> collected during the MILAGRO (Megacity Initiative: Local and Global Research Observations) field campaign that took place in Mexico City in March 2006. The sampler was installed on the Aerodyne mobile laboratory. The <span class="hlt">aerosol</span> samples were collected on nuclepore clear polycarbonate filters mounted in Costar pop-top membrane holders. More than one hundred filters were collected at different ground sites with different atmospheric and geographical characteristics (urban, sub-urban, mountain-top, industrial, etc.) over a month period. Selected subsets of these filters were analyzed for <span class="hlt">aerosol</span> morphology using a scanning electron microscope and <span class="hlt">image</span> analysis techniques. In this study we investigate spatial and temporal variations of <span class="hlt">aerosol</span> shape descriptors, morphological parameters, and fractal dimension. We also compare the morphological results with other <span class="hlt">aerosol</span> measurements such as <span class="hlt">aerosol</span> optical properties(scattering and absorption) and size distribution data. Atmospheric <span class="hlt">aerosols</span> have different morphological characteristics depending on many parameters such as emission sources, atmospheric formation pathways, aging processes, and <span class="hlt">aerosol</span> mixing state. The <span class="hlt">aerosol</span> morphology influences <span class="hlt">aerosol</span> chemical and mechanical interactions with the environment, physical properties, and radiative effects. In this study, ambient <span class="hlt">aerosol</span> particles have been classified in different shape groups as spherical, irregularly shaped, and fractal-like aggregates. Different morphological parameters such as aspect ratio, roundness, feret diameter, etc. have been estimated for irregular shaped and spherical particles and for different kinds of soot particles including fresh soot, collapsed and coated soot. Fractal geometry and <span class="hlt">image</span> processing have been used to obtain morphological characteristics of different soot particles. The number of monomers constituting each aggregate and their diameters were</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2015EGUGA..17.8348P','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2015EGUGA..17.8348P"><span>Evolution of <span class="hlt">aerosol</span> loading in Santiago de Chile between 1997 and 2014</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Pistone, Kristina; Gallardo, Laura</p> <p>2015-04-01</p> <p>While <span class="hlt">aerosols</span> produced by major cities are a significant component of anthropogenic climate forcing as well as an important factor in public health, many South American cities have not been a major focus of <span class="hlt">aerosol</span> studies due in part to relatively few long-term observations in the region. Here we present a synthesis of the available data for the emerging megacity of Santiago, Chile. We report new results from a recent NASA AERONET (<span class="hlt">AErosol</span> RObotic NETwork) site in the Santiago basin, combining these with previous AERONET observations in Santiago as well as with a new assessment of the 11-station air quality monitoring network currently administered by the Chilean Environment Ministry (MMA, Ministerio del Medio Ambiente) to assess changes in <span class="hlt">aerosol</span> composition since 1997. While the average surface concentration of pollution components (specifically PM2.5 and PM10) has decreased, no significant change in total <span class="hlt">aerosol</span> optical depth was observed. However, changes in <span class="hlt">aerosol</span> size and composition are suggested by the proxy measurements. Previous studies have revealed limitations in purely satellite-based studies over Santiago due to biases from high surface reflection in the region, particularly in summer months (e.g. Escribano et al 2014). To overcome this difficulty and certain limitations in the air quality data, we next incorporate analysis of <span class="hlt">aerosol</span> products from the Multi-angle <span class="hlt">Imaging</span> SpectroRadiometer (MISR) instrument along with those from the Moderate Resolution <span class="hlt">Imaging</span> Spectroradiometer (MODIS) instrument, both on NASA's Terra satellite, to better quantify the high bias of MODIS. Thus incorporating these complementary datasets, we characterize the <span class="hlt">aerosol</span> over Santiago over the period 1997 to 2014, including the evolution of <span class="hlt">aerosol</span> properties over time and seasonal dependencies in the observed trends. References: Escribano et al (2014), "Satellite Retrievals of <span class="hlt">Aerosol</span> Optical Depth over a Subtropical Urban Area: The Role of Stratification and Surface</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2009SPIE.7456E..0OZ','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2009SPIE.7456E..0OZ"><span>Development of IDEA product for GOES-R <span class="hlt">aerosol</span> data</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Zhang, Hai; Hoff, Raymond M.; Kondragunta, Shobha</p> <p>2009-08-01</p> <p>The NOAA GOES-R Advanced Baseline <span class="hlt">Imager</span> (ABI) will have nearly the same capabilities as NASA's Moderate Resolution <span class="hlt">Imaging</span> Spectroradiometer (MODIS) to generate multi-wavelength retrievals of <span class="hlt">aerosol</span> optical depth (AOD) with high temporal and spatial resolution, which can be used as a surrogate of surface particulate measurements such as PM2.5 (particulate matter with diameter less than 2.5 μm). To prepare for the launch of GOES-R and its application in the air quality forecasting, we have transferred and enhanced the Infusing satellite Data into Environmental Applications (IDEA) product from University of Wisconsin to NOAA NESDIS. IDEA was created through a NASA/EPA/NOAA cooperative effort. The enhanced IDEA product provides near-real-time imagery of AOD derived from multiple satellite sensors including MODIS Terra, MODIS Aqua, GOES EAST and GOES WEST <span class="hlt">imager</span>. Air quality forecast guidance is produced through a trajectory model initiated at locations with high AOD retrievals and/or high <span class="hlt">aerosol</span> index (AI) from OMI (Ozone Monitoring Instrument). The product is currently running at http://www.star.nesdis.noaa.gov/smcd/spb/aq/. The IDEA system will be tested using the GOES-R ABI proxy dataset, and will be ready to operate with GOES-R <span class="hlt">aerosol</span> data when GOES-R is launched.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017ACP....17..449L','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017ACP....17..449L"><span>Background <span class="hlt">aerosol</span> over the Himalayas and Tibetan Plateau: observed characteristics of <span class="hlt">aerosol</span> mass loading</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Liu, Bin; Cong, Zhiyuan; Wang, Yuesi; Xin, Jinyuan; Wan, Xin; Pan, Yuepeng; Liu, Zirui; Wang, Yonghong; Zhang, Guoshuai; Wang, Zhongyan; Wang, Yongjie; Kang, Shichang</p> <p>2017-01-01</p> <p>To investigate the atmospheric <span class="hlt">aerosols</span> of the Himalayas and Tibetan Plateau (HTP), an observation network was established within the region's various ecosystems, including at the Ngari, Qomolangma (QOMS), Nam Co, and Southeastern Tibetan (SET) stations. In this paper we illustrate <span class="hlt">aerosol</span> mass loadings by integrating in situ measurements with satellite and ground-based remote sensing datasets for the 2011-2013 period, on both local and large scales. Mass concentrations of these surface atmospheric <span class="hlt">aerosols</span> were relatively low and varied with land cover, showing a general tendency of Ngari and QOMS (barren sites) > Nam Co (grassland site) > SET (forest site). Daily averages of online PM2.5 (particulates with aerodynamic diameters below 2.5 µm) at these sites were sequentially 18.2 ± 8.9, 14.5 ± 7.4, 11.9 ± 4.9 and 11.7 ± 4.7 µg m-3. Correspondingly, the ratios of PM2.5 to total suspended particles (TSP) were 27.4 ± 6.65, 22.3 ± 10.9, 37.3 ± 11.1 and 54.4 ± 6.72 %. Bimodal mass distributions of size-segregated particles were found at all sites, with a relatively small peak in accumulation mode and a more notable peak in coarse mode. Diurnal variations in fine-<span class="hlt">aerosol</span> masses generally displayed a bi-peak pattern at the QOMS, Nam Co and SET stations and a single-peak pattern at the Ngari station, controlled by the effects of local geomorphology, mountain-valley breeze circulation and <span class="hlt">aerosol</span> emissions. Dust <span class="hlt">aerosol</span> content in PM2.1 samples gave fractions of 26 % at the Ngari station and 29 % at the QOMS station, or ˜ 2-3 times that of reported results at human-influenced sites. Furthermore, observed evidence confirmed the existence of the aerodynamic conditions necessary for the uplift of fine particles from a barren land surface. Combining surface <span class="hlt">aerosol</span> data and atmospheric-column <span class="hlt">aerosol</span> optical properties, the TSP mass and <span class="hlt">aerosol</span> optical depth (AOD) of the Multi-angle <span class="hlt">Imaging</span> Spectroradiometer (MISR) generally decreased as land cover changed from</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://ntrs.nasa.gov/search.jsp?R=20010048419&hterms=Russell&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAuthor-Name%26Nf%3DPublication-Date%257CBTWN%2B20000101%2B20001231%26N%3D0%26No%3D20%26Ntt%3DRussell','NASA-TRS'); return false;" href="https://ntrs.nasa.gov/search.jsp?R=20010048419&hterms=Russell&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAuthor-Name%26Nf%3DPublication-Date%257CBTWN%2B20000101%2B20001231%26N%3D0%26No%3D20%26Ntt%3DRussell"><span>Validation of MODIS <span class="hlt">Aerosol</span> Retrievals during PRIDE</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Levy, R.; Remier, L.; Kaufman, Y.; Kleidman, R.; Holben, B.; Russell, P.; Livingston, J.; Einaudi, Franco (Technical Monitor)</p> <p>2000-01-01</p> <p>The Puerto Rico Dust Experiment (PRIDE) was held in Roosevelt Roads, Puerto Rico from June 26 to July 24, 2000. It was intended to study the radiative and microphysical properties of Saharan dust transported into Puerto Rico. PRIDE had the unique distinction of being the first major field experiment to allow direct comparison of <span class="hlt">aerosol</span> retrievals from MODIS (MODerate <span class="hlt">Imaging</span> Spectro-radiometer - aboard the Terra satellite) with data from a variety of ground, shipboard and air-based instruments. Over the ocean the MODIS algorithm retrieves optical depth as well as information about the <span class="hlt">aerosol</span>'s size. During PRIDE, MODIS passed over Roosevelt Roads approximately once per day during daylight hours. Due to sunglint and clouds over Puerto Rico, <span class="hlt">aerosol</span> retrievals can be made from only about half the MODIS scenes. In this study we try to "validate" our <span class="hlt">aerosol</span> retrievals by comparing to measurements taken by sun-photometers from multiple platforms, including: Cimel (AERONET) from the ground, Microtops (handheld) from ground and ship, and the NASA-Ames sunphotometer from the air.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.ncbi.nlm.nih.gov/pubmed/17034303','PUBMED'); return false;" href="https://www.ncbi.nlm.nih.gov/pubmed/17034303"><span>Comparison of SPECT <span class="hlt">aerosol</span> deposition data with a human respiratory tract model.</span></a></p> <p><a target="_blank" href="https://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pubmed">PubMed</a></p> <p>Fleming, John S; Epps, Ben P; Conway, Joy H; Martonen, Ted B</p> <p>2006-01-01</p> <p>Three-dimensional (3D) radionuclide <span class="hlt">imaging</span> provides detailed information on the distribution of inhaled <span class="hlt">aerosol</span> material within the body. Analysis of the data can provide estimates of the deposition per airway generation. In this study, two different nebulizers have been used to deliver radiolabeled <span class="hlt">aerosols</span> of different particle size to 12 human subjects. Medical <span class="hlt">imaging</span> has been used to assess the deposition in the body. The deposition pattern has also been estimated using the International Commission on Radiological Protection (ICRP) empirical model and compared to values obtained by experiment. The results showed generally good agreement between model and experiment for both <span class="hlt">aerosols</span> for the deposition in the extrathoracic and conducting airways. However, there were significant differences in the fate of the remainder of the <span class="hlt">aerosol</span> between the amount deposited in the alveolar region and that exhaled. The inter-subject variability of deposition predicted by the model was significantly less than that measured, for all regions of the body. The model predicted quite well the differences in deposition distribution pattern between the two <span class="hlt">aerosols</span>. In conclusion, this study has shown that the ICPR model of inhaled <span class="hlt">aerosol</span> deposition shows areas of good agreement with results from experiment. However, there are also areas of disagreement, which may be explained by hygroscopic particle growth and individual variation in airway anatomy.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017EGUGA..1912688B','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017EGUGA..1912688B"><span><span class="hlt">Aerosol</span> loading impact on Asian monsoon precipitation patterns</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Biondi, Riccardo; Cagnazzo, Chiara; Costabile, Francesca; Cairo, Francesco</p> <p>2017-04-01</p> <p>Solar light absorption by <span class="hlt">aerosols</span> such as black carbon and dust assume a key role in driving the precipitation patterns in the Indian subcontinent. The <span class="hlt">aerosols</span> stack up against the foothills of the Himalayas in the pre-monsoon season and several studies have already demonstrated that this can cause precipitation anomalies during summer. Despite its great significance in climate change studies, the link between absorbing <span class="hlt">aerosols</span> loading and precipitation patterns remains highly uncertain. The main challenge for this kind of studies is to find consistent and reliable datasets. Several <span class="hlt">aerosol</span> time series are available from satellite and ground based instruments and some precipitation datasets from satellite sensors, but they all have different time/spatial resolution and they use different assumptions for estimating the parameter of interest. We have used the <span class="hlt">aerosol</span> estimations from the Ozone Monitoring Instrument (OMI), the Along-Track Scanning Radiometer (AATSR) and the MODerate resolution <span class="hlt">Imaging</span> Spectroradiometer (MODIS) and validated them against the <span class="hlt">Aerosol</span> Robotic Network (AERONET) measurements in the Indian area. The precipitation has been analyzed by using the Tropical Rainfall Measuring Mission (TRMM) estimations and the Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). From our results it is evident the discrepancy between the <span class="hlt">aerosol</span> loading on the area of interest from the OMI, AATSR, and MODIS, but even between 3 different algorithms applied to the MODIS data. This uncertainty does not allow to clearly distinguishing high <span class="hlt">aerosol</span> loading years from low <span class="hlt">aerosol</span> loading years except in a couple of cases where all the estimations agree. Similar issues are also present in the precipitation estimations from TRMM and MERRA-2. However, all the <span class="hlt">aerosol</span> datasets agree in defining couples of consecutive years with a large gradient of <span class="hlt">aerosol</span> loading. Based on this assumption we have compared the precipitation anomalies and</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2015ACP....15.5903P','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2015ACP....15.5903P"><span>A multi-model evaluation of <span class="hlt">aerosols</span> over South Asia: common problems and possible causes</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Pan, X.; Chin, M.; Gautam, R.; Bian, H.; Kim, D.; Colarco, P. R.; Diehl, T. L.; Takemura, T.; Pozzoli, L.; Tsigaridis, K.; Bauer, S.; Bellouin, N.</p> <p>2015-05-01</p> <p>Atmospheric pollution over South Asia attracts special attention due to its effects on regional climate, water cycle and human health. These effects are potentially growing owing to rising trends of anthropogenic <span class="hlt">aerosol</span> emissions. In this study, the spatio-temporal <span class="hlt">aerosol</span> distributions over South Asia from seven global <span class="hlt">aerosol</span> models are evaluated against <span class="hlt">aerosol</span> retrievals from NASA satellite sensors and ground-based measurements for the period of 2000-2007. Overall, substantial underestimations of <span class="hlt">aerosol</span> loading over South Asia are found systematically in most model simulations. Averaged over the entire South Asia, the annual mean <span class="hlt">aerosol</span> optical depth (AOD) is underestimated by a range 15 to 44% across models compared to MISR (Multi-angle <span class="hlt">Imaging</span> SpectroRadiometer), which is the lowest bound among various satellite AOD retrievals (from MISR, SeaWiFS (Sea-Viewing Wide Field-of-View Sensor), MODIS (Moderate Resolution <span class="hlt">Imaging</span> Spectroradiometer) Aqua and Terra). In particular during the post-monsoon and wintertime periods (i.e., October-January), when agricultural waste burning and anthropogenic emissions dominate, models fail to capture AOD and <span class="hlt">aerosol</span> absorption optical depth (AAOD) over the Indo-Gangetic Plain (IGP) compared to ground-based <span class="hlt">Aerosol</span> Robotic Network (AERONET) sunphotometer measurements. The underestimations of <span class="hlt">aerosol</span> loading in models generally occur in the lower troposphere (below 2 km) based on the comparisons of <span class="hlt">aerosol</span> extinction profiles calculated by the models with those from Cloud-<span class="hlt">Aerosol</span> Lidar with Orthogonal Polarization (CALIOP) data. Furthermore, surface concentrations of all <span class="hlt">aerosol</span> components (sulfate, nitrate, organic <span class="hlt">aerosol</span> (OA) and black carbon (BC)) from the models are found much lower than in situ measurements in winter. Several possible causes for these common problems of underestimating <span class="hlt">aerosols</span> in models during the post-monsoon and wintertime periods are identified: the <span class="hlt">aerosol</span> hygroscopic growth and formation of</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://eric.ed.gov/?q=csr+OR+corporate+AND+social+AND+responsibility&id=EJ1062828','ERIC'); return false;" href="https://eric.ed.gov/?q=csr+OR+corporate+AND+social+AND+responsibility&id=EJ1062828"><span>From Corporate Social Responsibility, through Entrepreneurial Orientation, to Knowledge Sharing: A Study in <span class="hlt">Cai</span> Luong (Renovated Theatre) Theatre Companies</span></a></p> <p><a target="_blank" href="http://www.eric.ed.gov/ERICWebPortal/search/extended.jsp?_pageLabel=advanced">ERIC Educational Resources Information Center</a></p> <p>Tuan, Luu Trong</p> <p>2015-01-01</p> <p>Purpose: This paper aims to examine the role of antecedents such as corporate social responsibility (CSR) and entrepreneurial orientation in the chain effect to knowledge sharing among members of <span class="hlt">Cai</span> Luong theatre companies in the Vietnamese context. Knowledge sharing contributes to the depth of the knowledge pool of both the individuals and the…</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20150008249','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20150008249"><span>Assessment of OMI Near-UV <span class="hlt">Aerosol</span> Optical Depth over Land</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Ahn, Changwoo; Torres, Omar; Jethva, Hiren</p> <p>2014-01-01</p> <p>This is the first comprehensive assessment of the <span class="hlt">aerosol</span> optical depth (AOD) product retrieved from the near-UV observations by the Ozone Monitoring Instrument (OMI) onboard the Aura satellite. The OMI-retrieved AOD by the ultraviolet (UV) <span class="hlt">aerosol</span> algorithm (OMAERUV version 1.4.2) was evaluated using collocated <span class="hlt">Aerosol</span> Robotic Network (AERONET) level 2.0 direct Sun AOD measurements over 8 years (2005-2012). A time series analysis of collocated satellite and ground-based AOD observations over 8 years shows no discernible drift in OMI's calibration. A rigorous validation analysis over 4 years (2005-2008) was carried out at 44 globally distributed AERONET land sites. The chosen locations are representative of major <span class="hlt">aerosol</span> types such as smoke from biomass burning or wildfires, desert mineral dust, and urban/industrial pollutants. Correlation coefficient (p) values of 0.75 or better were obtained at 50 percent of the sites with about 33 percent of the sites in the analysis reporting regression line slope values larger than 0.70 but always less than unity. The combined AERONET-OMAERUV analysis of the 44 sites yielded a p of 0.81, slope of 0.79, Y intercept of 0.10, and 65 percent OMAERUV AOD falling within the expected uncertainty range (largest of 30 percent or 0.1) at 440 nanometers. The most accurate OMAERUV retrievals are reported over northern Africa locations where the predominant <span class="hlt">aerosol</span> type is desert dust and cloud presence is less frequent. Reliable retrievals were documented at many sites characterized by urban-type <span class="hlt">aerosols</span> with low to moderate AOD values, concentrated in the boundary layer. These results confirm that the near-ultraviolet observations are sensitive to the entire <span class="hlt">aerosol</span> column. A simultaneous comparison of OMAERUV, Moderate Resolution <span class="hlt">Imaging</span> Spectroradiometer (MODIS) Deep Blue, and Multiangle <span class="hlt">Imaging</span> Spectroradiometer (MISR) AOD retrievals to AERONET measurements was also carried out to evaluate the OMAERUV accuracy in relation to those of</p> </li> </ol> <div class="pull-right"> <ul class="pagination"> <li><a href="#" onclick='return showDiv("page_1");'>«</a></li> <li><a href="#" onclick='return showDiv("page_15");'>15</a></li> <li><a href="#" onclick='return showDiv("page_16");'>16</a></li> <li class="active"><span>17</span></li> <li><a href="#" onclick='return showDiv("page_18");'>18</a></li> <li><a href="#" onclick='return showDiv("page_19");'>19</a></li> <li><a href="#" onclick='return showDiv("page_25");'>»</a></li> </ul> </div> </div><!-- col-sm-12 --> </div><!-- row --> </div><!-- page_17 --> <div id="page_18" class="hiddenDiv"> <div class="row"> <div class="col-sm-12"> <div class="pull-right"> <ul class="pagination"> <li><a href="#" onclick='return showDiv("page_1");'>«</a></li> <li><a href="#" onclick='return showDiv("page_16");'>16</a></li> <li><a href="#" onclick='return showDiv("page_17");'>17</a></li> <li class="active"><span>18</span></li> <li><a href="#" onclick='return showDiv("page_19");'>19</a></li> <li><a href="#" onclick='return showDiv("page_20");'>20</a></li> <li><a href="#" onclick='return showDiv("page_25");'>»</a></li> </ul> </div> </div> </div> <div class="row"> <div class="col-sm-12"> <ol class="result-class" start="341"> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2018JCrGr.486..162S','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2018JCrGr.486..162S"><span>Crystal Growth and Scintillation Properties of Eu2+ doped Cs4<span class="hlt">CaI</span>6 and Cs4SrI6</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Stand, L.; Zhuravleva, M.; Chakoumakos, B.; Johnson, J.; Loyd, M.; Wu, Y.; Koschan, M.; Melcher, C. L.</p> <p>2018-03-01</p> <p>In this work we present the crystal growth and scintillation properties of two new ternarymetal halide scintillators activated with divalent europium, Cs4<span class="hlt">CaI</span>6 and Cs4SrI6. Single crystals of each compound were grown in evacuated quartz ampoules via the vertical Bridgman technique using a two-zone transparent furnace. Single crystal X-ray diffraction experiments showed that both crystals have a trigonal (R-3c) structure, with a density of 3.99 g/cm3 and 4.03 g/cm3. The radioluminescence and photoluminescence measurements showed typical luminescence properties due to the 5d-4f radiative transitions in Eu2+. At this early stage of development Cs4SrI6:Eu and Cs4<span class="hlt">CaI</span>6:Eu have shown very promising scintillation properties, with light yields and energy resolutions of 62,300 ph/MeV and 3.3%, and 51,800 photons/MeV and 3.6% at 662 keV, respectively.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2011PhRvA..84d2333W','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2011PhRvA..84d2333W"><span>Quantum computational universality of the <span class="hlt">Cai</span>-Miyake-Dür-Briegel two-dimensional quantum state from Affleck-Kennedy-Lieb-Tasaki quasichains</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Wei, Tzu-Chieh; Raussendorf, Robert; Kwek, Leong Chuan</p> <p>2011-10-01</p> <p>Universal quantum computation can be achieved by simply performing single-qubit measurements on a highly entangled resource state, such as cluster states. <span class="hlt">Cai</span>, Miyake, Dür, and Briegel recently constructed a ground state of a two-dimensional quantum magnet by combining multiple Affleck-Kennedy-Lieb-Tasaki quasichains of mixed spin-3/2 and spin-1/2 entities and by mapping pairs of neighboring spin-1/2 particles to individual spin-3/2 particles [Phys. Rev. APLRAAN1050-294710.1103/PhysRevA.82.052309 82, 052309 (2010)]. They showed that this state enables universal quantum computation by single-spin measurements. Here, we give an alternative understanding of how this state gives rise to universal measurement-based quantum computation: by local operations, each quasichain can be converted to a one-dimensional cluster state and entangling gates between two neighboring logical qubits can be implemented by single-spin measurements. We further argue that a two-dimensional cluster state can be distilled from the <span class="hlt">Cai</span>-Miyake-Dür-Briegel state.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2016EGUGA..18.8612L','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2016EGUGA..18.8612L"><span>An algorithm for estimating <span class="hlt">aerosol</span> optical depth from HIMAWARI-8 data over Ocean</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Lee, Kwon Ho</p> <p>2016-04-01</p> <p>The paper presents currently developing algorithm for <span class="hlt">aerosol</span> detection and retrieval over ocean for the next generation geostationary satellite, HIMAWARI-8. Enhanced geostationary remote sensing observations are now enables for <span class="hlt">aerosol</span> retrieval of dust, smoke, and ash, which began a new era of geostationary <span class="hlt">aerosol</span> observations. Sixteen channels of the Advanced HIMAWARI <span class="hlt">Imager</span> (AHI) onboard HIMAWARI-8 offer capabilities for <span class="hlt">aerosol</span> remote sensing similar to those currently provided by the Moderate Resolution <span class="hlt">Imaging</span> Spectroradiometer (MODIS). <span class="hlt">Aerosols</span> were estimated in detection processing from visible and infrared channel radiances, and in retrieval processing using the inversion-optimization of satellite-observed radiances with those calculated from radiative transfer model. The retrievals are performed operationally every ten minutes for pixel sizes of ~8 km. The algorithm currently under development uses a multichannel approach to estimate the effective radius, <span class="hlt">aerosol</span> optical depth (AOD) simultaneously. The instantaneous retrieved AOD is evaluated by the MODIS level 2 operational <span class="hlt">aerosol</span> products (C006), and the daily retrieved AOD was compared with ground-based measurements from the AERONET databases. The results show that the detection of <span class="hlt">aerosol</span> and estimated AOD are in good agreement with the MODIS data and ground measurements with a correlation coefficient of ˜0.90 and a bias of 4%. These results suggest that the proposed method applied to the HIMAWARI-8 satellite data can accurately estimate continuous AOD. Acknowledgments This work was supported by "Development of Geostationary Meteorological Satellite Ground Segment(NMSC-2014-01)" program funded by National Meteorological Satellite Centre(NMSC) of Korea Meteorological Administration(KMA).</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017ISPAr42W4..237S','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017ISPAr42W4..237S"><span>Spatial Interpolation of <span class="hlt">Aerosol</span> Optical Depth Pollution: Comparison of Methods for the Development of <span class="hlt">Aerosol</span> Distribution</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Safarpour, S.; Abdullah, K.; Lim, H. S.; Dadras, M.</p> <p>2017-09-01</p> <p>Air pollution is a growing problem arising from domestic heating, high density of vehicle traffic, electricity production, and expanding commercial and industrial activities, all increasing in parallel with urban population. Monitoring and forecasting of air quality parameters are important due to health impact. One widely available metric of <span class="hlt">aerosol</span> abundance is the <span class="hlt">aerosol</span> optical depth (AOD). The AOD is the integrated light extinction coefficient over a vertical atmospheric column of unit cross section, which represents the extent to which the <span class="hlt">aerosols</span> in that vertical profile prevent the transmission of light by absorption or scattering. Seasonal <span class="hlt">aerosol</span> optical depth (AOD) values at 550 nm derived from the Moderate Resolution <span class="hlt">Imaging</span> Spectroradiometer (MODIS) sensor onboard NASA's Terra satellites, for the 10 years period of 2000 - 2010 were used to test 7 different spatial interpolation methods in the present study. The accuracy of estimations was assessed through visual analysis as well as independent validation based on basic statistics, such as root mean square error (RMSE) and correlation coefficient. Based on the RMSE and R values of predictions made using measured values from 2000 to 2010, Radial Basis Functions (RBFs) yielded the best results for spring, summer and winter and ordinary kriging yielded the best results for fall.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://files.eric.ed.gov/fulltext/ED111337.pdf','ERIC'); return false;" href="http://files.eric.ed.gov/fulltext/ED111337.pdf"><span>CHARGE <span class="hlt">Image</span> Generator: Theory of Operation and Author Language Support. Technical Report 75-3.</span></a></p> <p><a target="_blank" href="http://www.eric.ed.gov/ERICWebPortal/search/extended.jsp?_pageLabel=advanced">ERIC Educational Resources Information Center</a></p> <p>Gunwaldsen, Roger L.</p> <p></p> <p>The <span class="hlt">image</span> generator function and author language software support for the CHARGE (Color Halftone Area Graphics Environment) Interactive Graphics System are described. Designed initially for use in computer-assisted instruction (<span class="hlt">CAI</span>) systems, the CHARGE Interactive Graphics System can provide graphic displays for various applications including…</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017GeCoA.207....1T','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017GeCoA.207....1T"><span>In situ isotopic studies of the U-depleted Allende <span class="hlt">CAI</span> Curious Marie: Pre-accretionary alteration and the co-existence of 26Al and 36Cl in the early solar nebula</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Tang, Haolan; Liu, Ming-Chang; McKeegan, Kevin D.; Tissot, Francois L. H.; Dauphas, Nicolas</p> <p>2017-06-01</p> <p>The isotopic composition of oxygen as well as 26Al-26Mg and 36Cl-36S systematics were studied in Curious Marie, an aqueously altered Allende <span class="hlt">CAI</span> characterized by a Group II REE pattern and a large 235U excess produced by the decay of short-lived 247Cm. Oxygen isotopic compositions in the secondary minerals of Curious Marie follow a mass-dependent fractionation line with a relatively homogenous depletion in 16O (Δ17O of -8‰) compared to unaltered minerals of <span class="hlt">CAI</span> components. Both Mg and S show large excesses of radiogenic isotopes (26Mg∗ and 36S∗) that are uniformly distributed within the <span class="hlt">CAI</span>, independent of parent/daughter ratio. A model initial 26Al/27Al ratio [(6.2 ± 0.9) × 10-5], calculated using the bulk Al/Mg ratio and the uniform δ26Mg∗ ∼ +43‰, is similar to the canonical initial solar system value within error. The exceptionally high bulk Al/Mg ratio of this <span class="hlt">CAI</span> (∼95) compared to other inclusions is presumably due to Mg mobilization by fluids. Therefore, the model initial 26Al/27Al ratio of this <span class="hlt">CAI</span> implies not only the early condensation of the <span class="hlt">CAI</span> precursor but also that aqueous alteration occurred early, when 26Al was still at or near the canonical value. This alteration event is most likely responsible for the U depletion in Curious Marie and occurred at most 50 kyr after <span class="hlt">CAI</span> formation, leading to a revised estimate of the early solar system 247Cm/235U ratio of (5.6 ± 0.3) × 10-5. The Mg isotopic composition in Curious Marie was subsequently homogenized by closed-system thermal processing without contamination by chondritic Mg. The large, homogeneous 36S excesses (Δ36S∗ ∼ +97‰) detected in the secondary phases of Curious Marie are attributed to 36Cl decay (t1/2 = 0.3 Myr) that was introduced by Cl-rich fluids during the aqueous alteration event that led to sodalite formation. A model 36Cl/35Cl ratio of (2.3 ± 0.6) × 10-5 is calculated at the time of aqueous alteration, translating into an initial 36Cl/35Cl ratio of ∼1.7-3 </p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2009gdca.conf..321C','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2009gdca.conf..321C"><span>Problem Solving Process Research of Everyone Involved in Innovation Based on <span class="hlt">CAI</span> Technology</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Chen, Tao; Shao, Yunfei; Tang, Xiaowo</p> <p></p> <p>It is very important that non-technical department personnel especially bottom line employee serve as innovators under the requirements of everyone involved in innovation. According the view of this paper, it is feasible and necessary to build everyone involved in innovation problem solving process under Total Innovation Management (TIM) based on the Theory of Inventive Problem Solving (TRIZ). The tools under the <span class="hlt">CAI</span> technology: How TO mode and science effects database could be very useful for all employee especially non-technical department and bottom line for innovation. The problem solving process put forward in the paper focus on non-technical department personnel especially bottom line employee for innovation.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017E%26SS....4..485S','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017E%26SS....4..485S"><span>Intercomparison between CMIP5 model and MODIS satellite-retrieved data of <span class="hlt">aerosol</span> optical depth, cloud fraction, and cloud-<span class="hlt">aerosol</span> interactions</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Sockol, Alyssa; Small Griswold, Jennifer D.</p> <p>2017-08-01</p> <p><span class="hlt">Aerosols</span> are a critical component of the Earth's atmosphere and can affect the climate of the Earth through their interactions with solar radiation and clouds. Cloud fraction (CF) and <span class="hlt">aerosol</span> optical depth (AOD) at 550 nm from the Moderate Resolution <span class="hlt">Imaging</span> Spectroradiometer (MODIS) are used with analogous cloud and <span class="hlt">aerosol</span> properties from Historical Phase 5 of the Coupled Model Intercomparison Project (CMIP5) model runs that explicitly include anthropogenic <span class="hlt">aerosols</span> and parameterized cloud-<span class="hlt">aerosol</span> interactions. The models underestimate AOD by approximately 15% and underestimate CF by approximately 10% overall on a global scale. A regional analysis is then used to evaluate model performance in two regions with known biomass burning activity and absorbing <span class="hlt">aerosol</span> (South America (SAM) and South Africa (SAF)). In SAM, the models overestimate AOD by 4.8% and underestimate CF by 14%. In SAF, the models underestimate AOD by 35% and overestimate CF by 13.4%. Average annual cycles show that the monthly timing of AOD peaks closely match satellite data in both SAM and SAF for all except the Community Atmosphere Model 5 and Geophysical Fluid Dynamics Laboratory (GFDL) models. Monthly timing of CF peaks closely match for all models (except GFDL) for SAM and SAF. Sorting monthly averaged 2° × 2.5° model or MODIS CF as a function of AOD does not result in the previously observed "boomerang"-shaped CF versus AOD relationship characteristic of regions with absorbing <span class="hlt">aerosols</span> from biomass burning. Cloud-<span class="hlt">aerosol</span> interactions, as observed using daily (or higher) temporal resolution data, are not reproducible at the spatial or temporal resolution provided by the CMIP5 models.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2013AGUFM.A53K..06L','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2013AGUFM.A53K..06L"><span>Beyond MODIS: Developing an <span class="hlt">aerosol</span> climate data record</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Levy, R. C.; Mattoo, S.; Munchak, L. A.; Patadia, F.; Laszlo, I.; Holz, R.</p> <p>2013-12-01</p> <p>As defined by the National Research Council, a climate data record (CDR) is a time series of measurements of sufficient length, consistency, and continuity to determine climate variability and change. As one of our most pressing research questions concerns changes in global direct <span class="hlt">aerosol</span> radiative forcing (DARF), creating an <span class="hlt">aerosol</span> CDR is of high importance. To reduce our uncertainties in DARF, we need uncertainty in global <span class="hlt">aerosol</span> optical depth (AOD) reduced to ×0.02 or better, or about 10% of global mean AOD (~0.15-0.20). To quantify <span class="hlt">aerosol</span> trends with significance, we also need a stable time series at least 20-30 years. By this Fall-2013 AGU meeting, the Moderate Resolution <span class="hlt">Imaging</span> Spectrometer (MODIS) has been flying on NASA's Terra and Aqua satellites for 14 years and 11.5 years, respectively. During this time, we have fine-tuned the <span class="hlt">aerosol</span> retrieval algorithms and data processing protocols, resulting in a well characterized product of <span class="hlt">aerosol</span> optical depth (AOD). MODIS AOD has been extensively compared to ground-based sunphotometer data, showing per-retrieval expected error (EE) of ×(0.03 + 5%) over ocean, and has been generally adopted as a robust and stable environmental data record (EDR). With the 2011 launch of the Visible and Infrared <span class="hlt">Imaging</span> Radiometer Suite (VIIRS) aboard Suomi-NPP, we have begun a new <span class="hlt">aerosol</span> time series. The VIIRS AOD product has stabilized to the point where, compared to ground-based AERONET sunphotometer, the VIIRS AOD is within similar EE envelope as MODIS. Thus, if VIIRS continues to perform as expected, it too can provide a robust and stable <span class="hlt">aerosol</span> EDR. What will it take to stitch MODIS and VIIRS into a robust <span class="hlt">aerosol</span> CDR? Based on the recent experience of MODIS 'Collection 6' development, there are many details of <span class="hlt">aerosol</span> retrieval that each lead to ×0.01 uncertainties in global AOD. These include 'radiative transfer' assumptions such as calculations for gas absorption and sea-level Rayleigh optical depth, 'decision</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2016GMD.....9.2377W','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2016GMD.....9.2377W"><span>Multi-sensor cloud and <span class="hlt">aerosol</span> retrieval simulator and remote sensing from model parameters - Part 2: <span class="hlt">Aerosols</span></span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Wind, Galina; da Silva, Arlindo M.; Norris, Peter M.; Platnick, Steven; Mattoo, Shana; Levy, Robert C.</p> <p>2016-07-01</p> <p>The Multi-sensor Cloud Retrieval Simulator (MCRS) produces a "simulated radiance" product from any high-resolution general circulation model with interactive <span class="hlt">aerosol</span> as if a specific sensor such as the Moderate Resolution <span class="hlt">Imaging</span> Spectroradiometer (MODIS) were viewing a combination of the atmospheric column and land-ocean surface at a specific location. Previously the MCRS code only included contributions from atmosphere and clouds in its radiance calculations and did not incorporate properties of <span class="hlt">aerosols</span>. In this paper we added a new <span class="hlt">aerosol</span> properties module to the MCRS code that allows users to insert a mixture of up to 15 different <span class="hlt">aerosol</span> species in any of 36 vertical layers.This new MCRS code is now known as MCARS (Multi-sensor Cloud and <span class="hlt">Aerosol</span> Retrieval Simulator). Inclusion of an <span class="hlt">aerosol</span> module into MCARS not only allows for extensive, tightly controlled testing of various aspects of satellite operational cloud and <span class="hlt">aerosol</span> properties retrieval algorithms, but also provides a platform for comparing cloud and <span class="hlt">aerosol</span> models against satellite measurements. This kind of two-way platform can improve the efficacy of model parameterizations of measured satellite radiances, allowing the assessment of model skill consistently with the retrieval algorithm. The MCARS code provides dynamic controls for appearance of cloud and <span class="hlt">aerosol</span> layers. Thereby detailed quantitative studies of the impacts of various atmospheric components can be controlled.In this paper we illustrate the operation of MCARS by deriving simulated radiances from various data field output by the Goddard Earth Observing System version 5 (GEOS-5) model. The model <span class="hlt">aerosol</span> fields are prepared for translation to simulated radiance using the same model subgrid variability parameterizations as are used for cloud and atmospheric properties profiles, namely the ICA technique. After MCARS computes modeled sensor radiances equivalent to their observed counterparts, these radiances are presented as input to</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://ntrs.nasa.gov/search.jsp?R=20160014497&hterms=Remote+sensing&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D60%26Ntt%3DRemote%2Bsensing','NASA-TRS'); return false;" href="https://ntrs.nasa.gov/search.jsp?R=20160014497&hterms=Remote+sensing&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D60%26Ntt%3DRemote%2Bsensing"><span>Multi-Sensor Cloud and <span class="hlt">Aerosol</span> Retrieval Simulator and Remote Sensing from Model Parameters . Part 2; <span class="hlt">Aerosols</span></span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Wind, Galina; Da Silva, Arlindo M.; Norris, Peter M.; Platnick, Steven; Mattoo, Shana; Levy, Robert C.</p> <p>2016-01-01</p> <p>The Multi-sensor Cloud Retrieval Simulator (MCRS) produces a simulated radiance product from any high-resolution general circulation model with interactive <span class="hlt">aerosol</span> as if a specific sensor such as the Moderate Resolution <span class="hlt">Imaging</span> Spectroradiometer (MODIS) were viewing a combination of the atmospheric column and land ocean surface at a specific location. Previously the MCRS code only included contributions from atmosphere and clouds in its radiance calculations and did not incorporate properties of <span class="hlt">aerosols</span>. In this paper we added a new <span class="hlt">aerosol</span> properties module to the MCRS code that allows users to insert a mixture of up to 15 different <span class="hlt">aerosol</span> species in any of 36 vertical layers. This new MCRS code is now known as MCARS (Multi-sensor Cloud and <span class="hlt">Aerosol</span> Retrieval Simulator). Inclusion of an <span class="hlt">aerosol</span> module into MCARS not only allows for extensive, tightly controlled testing of various aspects of satellite operational cloud and <span class="hlt">aerosol</span> properties retrieval algorithms, but also provides a platform for comparing cloud and <span class="hlt">aerosol</span> models against satellite measurements. This kind of two-way platform can improve the efficacy of model parameterizations of measured satellite radiances, allowing the assessment of model skill consistently with the retrieval algorithm. The MCARS code provides dynamic controls for appearance of cloud and <span class="hlt">aerosol</span> layers. Thereby detailed quantitative studies of the impacts of various atmospheric components can be controlled. In this paper we illustrate the operation of MCARS by deriving simulated radiances from various data field output by the Goddard Earth Observing System version 5 (GEOS-5) model. The model <span class="hlt">aerosol</span> fields are prepared for translation to simulated radiance using the same model sub grid variability parameterizations as are used for cloud and atmospheric properties profiles, namely the ICA technique. After MCARS computes modeled sensor radiances equivalent to their observed counterparts, these radiances are presented as input to</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2015AGUFM.A23F0399D','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2015AGUFM.A23F0399D"><span>Biology of the Coarse <span class="hlt">Aerosol</span> Mode: Insights Into Urban <span class="hlt">Aerosol</span> Ecology</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Dueker, E.; O'Mullan, G. D.; Montero, A.</p> <p>2015-12-01</p> <p>Microbial <span class="hlt">aerosols</span> have been understudied, despite implications for climate studies, public health, and biogeochemical cycling. Because viable bacterial <span class="hlt">aerosols</span> are often associated with coarse <span class="hlt">aerosol</span> particles, our limited understanding of the coarse <span class="hlt">aerosol</span> mode further impedes our ability to develop models of viable bacterial <span class="hlt">aerosol</span> production, transport, and fate in the outdoor environment, particularly in crowded urban centers. To address this knowledge gap, we studied <span class="hlt">aerosol</span> particle biology and size distributions in a broad range of urban and rural settings. Our previously published findings suggest a link between microbial viability and local production of coarse <span class="hlt">aerosols</span> from waterways, waste treatment facilities, and terrestrial systems in urban and rural environments. Both in coastal Maine and in New York Harbor, coarse <span class="hlt">aerosols</span> and viable bacterial <span class="hlt">aerosols</span> increased with increasing wind speeds above 4 m s-1, a dynamic that was observed over time scales ranging from minutes to hours. At a New York City superfund-designated waterway regularly contaminated with raw sewage, aeration remediation efforts resulted in significant increases of coarse <span class="hlt">aerosols</span> and bacterial <span class="hlt">aerosols</span> above that waterway. Our current research indicates that bacterial communities in <span class="hlt">aerosols</span> at this superfund site have a greater similarity to bacterial communities in the contaminated waterway with wind speeds above 4 m s-1. Size-fractionated sampling of viable microbial <span class="hlt">aerosols</span> along the urban waterfront has also revealed significant shifts in bacterial <span class="hlt">aerosols</span>, and specifically bacteria associated with coarse <span class="hlt">aerosols</span>, when wind direction changes from onshore to offshore. This research highlights the key connections between bacterial <span class="hlt">aerosol</span> viability and the coarse <span class="hlt">aerosol</span> fraction, which is important in assessments of production, transport, and fate of bacterial contamination in the urban environment.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2013AGUFM.A13A0179K','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2013AGUFM.A13A0179K"><span>Measurements of Semi-volatile <span class="hlt">Aerosol</span> and Its Effect on <span class="hlt">Aerosol</span> Optical Properties During Southern Oxidant and <span class="hlt">Aerosol</span> Study</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Khlystov, A.; Grieshop, A. P.; Saha, P.; Subramanian, R.</p> <p>2013-12-01</p> <p>Semi-volatile compounds, including particle-bound water, comprise a large part of <span class="hlt">aerosol</span> mass and have a significant influence on <span class="hlt">aerosol</span> lifecycle and its optical properties. Understanding the properties of semi-volatile compounds, especially those pertaining to gas/<span class="hlt">aerosol</span> partitioning, is of critical importance for our ability to predict concentrations and properties of ambient <span class="hlt">aerosol</span>. A set of state-of-the-art instruments was deployed at the SEARCH site near Centerville, AL during the Southern Oxidant and <span class="hlt">Aerosol</span> Study (SOAS) campaign in summer 2013 to measure the effect of temperature and relative humidity on <span class="hlt">aerosol</span> size distribution, composition and optical properties. Light scattering and absorption by temperature- and humidity-conditioned <span class="hlt">aerosols</span> was measured using three photo-acoustic extinctiometers (PAX) at three wavelengths (405 nm, 532 nm, and 870 nm). In parallel to these measurements, a long residence time temperature-stepping thermodenuder and a variable residence time constant temperature thermodenuder in combination with three SMPS systems and an <span class="hlt">Aerosol</span> Chemical Speciation Monitor (ACSM) were used to assess <span class="hlt">aerosol</span> volatility and kinetics of <span class="hlt">aerosol</span> evaporation. It was found that both temperature and relative humidity have a strong effect on <span class="hlt">aerosol</span> optical properties. The variable residence time thermodenuder data suggest that <span class="hlt">aerosol</span> equilibrated fairly quickly, within 2 s, in contrast to other ambient observations. Preliminary analysis show that approximately 50% and 90% of total <span class="hlt">aerosol</span> mass evaporated at temperatures of 100 C and 180C, respectively. Evaporation varied substantially with ambient <span class="hlt">aerosol</span> loading and composition and meteorology. During course of this study, T50 (temperatures at which 50% <span class="hlt">aerosol</span> mass evaporates) varied from 60 C to more than 120 C.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://ntrs.nasa.gov/search.jsp?R=20160012702&hterms=Ocean&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D40%26Ntt%3DOcean','NASA-TRS'); return false;" href="https://ntrs.nasa.gov/search.jsp?R=20160012702&hterms=Ocean&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D40%26Ntt%3DOcean"><span><span class="hlt">Aerosol</span> Optical Depth Distribution in Extratropical Cyclones over the Northern Hemisphere Oceans</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Naud, Catherine M.; Posselt, Derek J.; van den Heever, Susan C.</p> <p>2016-01-01</p> <p>Using Moderate Resolution <span class="hlt">Imaging</span> Spectroradiometer and an extratropical cyclone database,the climatological distribution of <span class="hlt">aerosol</span> optical depth (AOD) in extratropical cyclones is explored based solely on observations. Cyclone-centered composites of <span class="hlt">aerosol</span> optical depth are constructed for the Northern Hemisphere mid-latitude ocean regions, and their seasonal variations are examined. These composites are found to be qualitatively stable when the impact of clouds and surface insolation or brightness is tested. The larger AODs occur in spring and summer and are preferentially found in the warm frontal and in the post-cold frontal regions in all seasons. The fine mode <span class="hlt">aerosols</span> dominate the cold sector AODs, but the coarse mode <span class="hlt">aerosols</span> display large AODs in the warm sector. These differences between the <span class="hlt">aerosol</span> modes are related to the varying source regions of the <span class="hlt">aerosols</span> and could potentially have different impacts on cloud and precipitation within the cyclones.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://files.eric.ed.gov/fulltext/ED069154.pdf','ERIC'); return false;" href="http://files.eric.ed.gov/fulltext/ED069154.pdf"><span>The Computer as an Authority Figure: Some Effects of <span class="hlt">CAI</span> on Student Perception of Teacher Authority. Technical Report Number 29.</span></a></p> <p><a target="_blank" href="http://www.eric.ed.gov/ERICWebPortal/search/extended.jsp?_pageLabel=advanced">ERIC Educational Resources Information Center</a></p> <p>Brod, Rodney L.</p> <p></p> <p>A sociological theory of authority was used to investigate some nonintellective, perhaps unintended, consequences of computer-assisted instruction (<span class="hlt">CAI</span>) upon student's attitudes and orientations toward the organization of the school. An attitudinal questionnaire was used to survey attitudes toward the teacher and the computer in a junior high…</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://ntrs.nasa.gov/search.jsp?R=20000118270&hterms=land+use+change&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D80%26Ntt%3Dland%2Buse%2Bchange','NASA-TRS'); return false;" href="https://ntrs.nasa.gov/search.jsp?R=20000118270&hterms=land+use+change&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D80%26Ntt%3Dland%2Buse%2Bchange"><span>Remote Sensing of <span class="hlt">Aerosol</span> Over the Land from the Earth Observing System MODIS Instrument</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Kaufman, Yoram; Tanre, Didier; Remer, Lorraine; Einaudi, Franco (Technical Monitor)</p> <p>2000-01-01</p> <p>On Dec 18, 1999, NASA launched the Moderate-Resolution <span class="hlt">Imaging</span> Spectroradiometer (MODIS) instrument on the Earth Observing System (EOS) Terra mission, in a spectacular launch. The mission will provide morning (10:30 AM) global observations of <span class="hlt">aerosol</span> and other related parameters. It will be followed a year later by a MODIS instrument on EOS Aqua for afternoon observations (1:30 PM). MODIS will measure <span class="hlt">aerosol</span> over land and ocean with its eight 500 m and 250 m channels in the solar spectrum (0-41 to 2.2 micrometers). Over the land MODIS will measure the total column <span class="hlt">aerosol</span> loading, and distinguish between submicron pollution particles and large soil particles. Standard daily products of resolution of ten kilometers and global mapped eight day and monthly products on a 1x1 degree global scale will be produced routinely and make available for no or small reproduction charge to the international community. Though the <span class="hlt">aerosol</span> products will not be available everywhere over the land, it is expected that they will be useful for assessments of the presence, sources and transport of urban pollution, biomass burning <span class="hlt">aerosol</span>, and desert dust. Other measurements from MODIS will supplement the <span class="hlt">aerosol</span> information, e.g., land use change, urbanization, presence and magnitude of biomass burning fires, and effect of <span class="hlt">aerosol</span> on cloud microphysics. Other instruments on Terra, e.g. Multi-angle <span class="hlt">Imaging</span> SpectroRadiometer (MISR) and the Clouds and the Earth's Radiant Energy System (CERES), will also measure <span class="hlt">aerosol</span>, its properties and radiative forcing in tandem with the MODIS measurements. During the Aqua period, there are plans to launch in 2003 the Pathfinder Instruments for Cloud and <span class="hlt">Aerosol</span> Spaceborne Observations (PICASSO) mission for global measurements of the <span class="hlt">aerosol</span> vertical structure, and the PARASOL mission for <span class="hlt">aerosol</span> characterization. Aqua-MODIS, PICASSO and PARASOL will fly in formation for detailed simultaneous characterization of the <span class="hlt">aerosol</span> three-dimensional field, which</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20010119957','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20010119957"><span>Validation of MODIS <span class="hlt">Aerosol</span> Optical Depth Retrieval Over Land</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Chu, D. A.; Kaufman, Y. J.; Ichoku, C.; Remer, L. A.; Tanre, D.; Holben, B. N.; Einaudi, Franco (Technical Monitor)</p> <p>2001-01-01</p> <p><span class="hlt">Aerosol</span> optical depths are derived operationally for the first time over land in the visible wavelengths by MODIS (Moderate Resolution <span class="hlt">Imaging</span> Spectroradiometer) onboard the EOSTerra spacecraft. More than 300 Sun photometer data points from more than 30 AERONET (<span class="hlt">Aerosol</span> Robotic Network) sites globally were used in validating the <span class="hlt">aerosol</span> optical depths obtained during July - September 2000. Excellent agreement is found with retrieval errors within (Delta)tau=+/- 0.05 +/- 0.20 tau, as predicted, over (partially) vegetated surfaces, consistent with pre-launch theoretical analysis and aircraft field experiments. In coastal and semi-arid regions larger errors are caused predominantly by the uncertainty in evaluating the surface reflectance. The excellent fit was achieved despite the ongoing improvements in instrument characterization and calibration. This results show that MODIS-derived <span class="hlt">aerosol</span> optical depths can be used quantitatively in many applications with cautions for residual clouds, snow/ice, and water contamination.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2013PhDT.......109N','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2013PhDT.......109N"><span>Understanding the impact of saharan dust <span class="hlt">aerosols</span> on tropical cyclones</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Naeger, Aaron</p> <p></p> <p>Genesis of Tropical Cyclones (TCs) in the main development region for Atlantic hurricanes is tied to convection initiated by African easterly waves (AEWs) during Northern hemisphere summer and fall seasons. The main development region is also impacted by dust <span class="hlt">aerosols</span> transported from the Sahara. It has been hypothesized that dust <span class="hlt">aerosols</span> can modulate the development of TCs through <span class="hlt">aerosol</span>-radiation and <span class="hlt">aerosol</span>-cloud interaction processes. In this study, we investigate the impact of dust <span class="hlt">aerosols</span> on TC development using the Weather Research and Forecasting model coupled with chemistry (WRF-Chem). We first develop a technique to constrain the WRF-Chem model with a realistic three-dimensional spatial distribution of dust <span class="hlt">aerosols</span>. The horizontal distribution of dust is specified using the Moderate Resolution <span class="hlt">Imaging</span> Spectroradiometer (MODIS) derived <span class="hlt">aerosol</span> products and output from the Goddard Chemistry <span class="hlt">Aerosol</span> Radiation and Transport (GOCART) model. The vertical distribution of dust is constrained using the Cloud <span class="hlt">Aerosol</span> Lidar and Infrared Pathfinder Satellite Observations (CALIPSO). We validate our technique through in situ aircraft measurements where both showed <span class="hlt">aerosol</span> number concentrations from 20-30 cm-3 in the atmosphere for Saharan dust moving over the eastern Atlantic Ocean. Then, we use the satellite data constraint technique to nudge the WRF-Chem <span class="hlt">aerosol</span> fields throughout the simulation of TC Florence developing over the eastern Atlantic Ocean during September 2006. Three different experiments are conducted where the <span class="hlt">aerosol</span>-radiation and <span class="hlt">aerosol</span>-cloud interaction processes are either activated or deactivated in the model while all other model options are identical between the experiments. By comparing the model experiment results, the impact of the <span class="hlt">aerosol</span> interaction processes on TC development can be understood. The results indicate that dust <span class="hlt">aerosols</span> can delay or prevent the development of a TC as the minimum sea level pressure of TC Florence was 13 h</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2014AGUFM.A33C3201K','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2014AGUFM.A33C3201K"><span>The Effect of <span class="hlt">Aerosol</span> Hygroscopicity and Volatility on <span class="hlt">Aerosol</span> Optical Properties During Southern Oxidant and <span class="hlt">Aerosol</span> Study</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Khlystov, A.; Grieshop, A. P.; Saha, P.; Subramanian, R.</p> <p>2014-12-01</p> <p>Secondary organic <span class="hlt">aerosol</span> (SOA) from biogenic sources can influence optical properties of ambient <span class="hlt">aerosol</span> by altering its hygroscopicity and contributing to light absorption directly via formation of brown carbon and indirectly by enhancing light absorption by black carbon ("lensing effect"). The magnitude of these effects remains highly uncertain. A set of state-of-the-art instruments was deployed at the SEARCH site near Centerville, AL during the Southern Oxidant and <span class="hlt">Aerosol</span> Study (SOAS) campaign in summer 2013 to measure the effect of relative humidity and temperature on <span class="hlt">aerosol</span> size distribution, composition and optical properties. Light scattering and absorption by temperature- and humidity-conditioned <span class="hlt">aerosols</span> was measured using three photo-acoustic extinctiometers (PAX) at three wavelengths (405 nm, 532 nm, and 870 nm). The sample-conditioning system provided measurements at ambient RH, 10%RH ("dry"), 85%RH ("wet"), and 200 C ("TD"). In parallel to these measurements, a long residence time temperature-stepping thermodenuder (TD) and a variable residence time constant temperature TD in combination with three SMPS systems and an <span class="hlt">Aerosol</span> Chemical Speciation Monitor (ACSM) were used to assess <span class="hlt">aerosol</span> volatility and kinetics of <span class="hlt">aerosol</span> evaporation. We will present results of the on-going analysis of the collected data set. We will show that both temperature and relative humidity have a strong effect on <span class="hlt">aerosol</span> optical properties. SOA appears to increase <span class="hlt">aerosol</span> light absorption by about 10%. TD measurements suggest that <span class="hlt">aerosol</span> equilibrated fairly quickly, within 2 s. Evaporation varied substantially with ambient <span class="hlt">aerosol</span> loading and composition and meteorology.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20030067938','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20030067938"><span>Longwave Radiative Forcing of Saharan Dust <span class="hlt">Aerosols</span> Estimated from MODIS, MISR and CERES Observations on Terra</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Zhang, Jiang-Long; Christopher, Sundar A.</p> <p>2003-01-01</p> <p>Using observations from the Multi-angle <span class="hlt">Imaging</span> Spectroradiometer (MISR), the Moderate Resolution <span class="hlt">Imaging</span> Spectroradiometer (MODIS), and the Clouds and the Earth's Radiant Energy System (CERES) instruments onboard the Terra satellite; we present a new technique for studying longwave (LW) radiative forcing of dust <span class="hlt">aerosols</span> over the Saharan desert for cloud-free conditions. The monthly-mean LW forcing for September 2000 is 7 W/sq m and the LW forcing efficiency' (LW(sub eff)) is 15 W/sq m. Using radiative transfer calculations, we also show that the vertical distribution of <span class="hlt">aerosols</span> and water vapor are critical to the understanding of dust <span class="hlt">aerosol</span> forcing. Using well calibrated, spatially and temporally collocated data sets, we have combined the strengths of three sensors from the same satellite to quantify the LW radiative forcing, and show that dust <span class="hlt">aerosols</span> have a "warming" effect over the Saharan desert that will counteract the shortwave "cooling effect" of <span class="hlt">aerosols</span>.</p> </li> </ol> <div class="pull-right"> <ul class="pagination"> <li><a href="#" onclick='return showDiv("page_1");'>«</a></li> <li><a href="#" onclick='return showDiv("page_16");'>16</a></li> <li><a href="#" onclick='return showDiv("page_17");'>17</a></li> <li class="active"><span>18</span></li> <li><a href="#" onclick='return showDiv("page_19");'>19</a></li> <li><a href="#" onclick='return showDiv("page_20");'>20</a></li> <li><a href="#" onclick='return showDiv("page_25");'>»</a></li> </ul> </div> </div><!-- col-sm-12 --> </div><!-- row --> </div><!-- page_18 --> <div id="page_19" class="hiddenDiv"> <div class="row"> <div class="col-sm-12"> <div class="pull-right"> <ul class="pagination"> <li><a href="#" onclick='return showDiv("page_1");'>«</a></li> <li><a href="#" onclick='return showDiv("page_17");'>17</a></li> <li><a href="#" onclick='return showDiv("page_18");'>18</a></li> <li class="active"><span>19</span></li> <li><a href="#" onclick='return showDiv("page_20");'>20</a></li> <li><a href="#" onclick='return showDiv("page_21");'>21</a></li> <li><a href="#" onclick='return showDiv("page_25");'>»</a></li> </ul> </div> </div> </div> <div class="row"> <div class="col-sm-12"> <ol class="result-class" start="361"> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2012SPIE.8358E..06F','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2012SPIE.8358E..06F"><span>Automated recognition and tracking of <span class="hlt">aerosol</span> threat plumes with an IR camera pod</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Fauth, Ryan; Powell, Christopher; Gruber, Thomas; Clapp, Dan</p> <p>2012-06-01</p> <p>Protection of fixed sites from chemical, biological, or radiological <span class="hlt">aerosol</span> plume attacks depends on early warning so that there is time to take mitigating actions. Early warning requires continuous, autonomous, and rapid coverage of large surrounding areas; however, this must be done at an affordable cost. Once a potential threat plume is detected though, a different type of sensor (e.g., a more expensive, slower sensor) may be cued for identification purposes, but the problem is to quickly identify all of the potential threats around the fixed site of interest. To address this problem of low cost, persistent, wide area surveillance, an IR camera pod and multi-<span class="hlt">image</span> stitching and processing algorithms have been developed for automatic recognition and tracking of <span class="hlt">aerosol</span> plumes. A rugged, modular, static pod design, which accommodates as many as four micro-bolometer IR cameras for 45deg to 180deg of azimuth coverage, is presented. Various OpenCV1 based <span class="hlt">image</span>-processing algorithms, including stitching of multiple adjacent FOVs, recognition of <span class="hlt">aerosol</span> plume objects, and the tracking of <span class="hlt">aerosol</span> plumes, are presented using process block diagrams and sample field test results, including chemical and biological simulant plumes. Methods for dealing with the background removal, brightness equalization between <span class="hlt">images</span>, and focus quality for optimal plume tracking are also discussed.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2016AGUFM.A53C0293L','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2016AGUFM.A53C0293L"><span>Constructing An Event Based <span class="hlt">Aerosol</span> Product Under High <span class="hlt">Aerosol</span> Loading Conditions</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Levy, R. C.; Shi, Y.; Mattoo, S.; Remer, L. A.; Zhang, J.</p> <p>2016-12-01</p> <p>High <span class="hlt">aerosol</span> loading events, such as the Indonesia's forest fire in Fall 2015 or the persistent wintertime haze near Beijing, gain tremendous interests due to their large impact on regional visibility and air quality. Understanding the optical properties of these events and further being able to simulate and predict these events are beneficial. However, it is a great challenge to consistently identify and then retrieve <span class="hlt">aerosol</span> optical depth (AOD) from passive sensors during heavy <span class="hlt">aerosol</span> events. Some reasons include:1). large differences between optical properties of high-loading <span class="hlt">aerosols</span> and those under normal conditions, 2) spectral signals of optically thick <span class="hlt">aerosols</span> can be mistaken with surface depending on <span class="hlt">aerosol</span> types, and 3) Extremely optically thick <span class="hlt">aerosol</span> plumes can also be misidentified as clouds due to its high optical thickness. Thus, even under clear-sky conditions, the global distribution of extreme <span class="hlt">aerosol</span> events is not well captured in datasets such as the MODIS Dark-Target (DT) <span class="hlt">aerosol</span> product. In this study, with the synthetic use of OMI <span class="hlt">Aerosol</span> Index, MODIS cloud product, and operational DT product, the heavy smoke events over the seven sea region are identified and retrieved over the dry season. An event based <span class="hlt">aerosol</span> product that would compensate the standard "global" <span class="hlt">aerosol</span> retrieval will be created and evaluated. The impact of missing high AOD retrievals on the regional <span class="hlt">aerosol</span> climatology will be studied using this newly developed research product.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20140011828','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20140011828"><span>Application of Spectral Analysis Techniques in the Intercomparison of <span class="hlt">Aerosol</span> Data. Part II: Using Maximum Covariance Analysis to Effectively Compare Spatiotemporal Variability of Satellite and AERONET Measured <span class="hlt">Aerosol</span> Optical Depth</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Li, Jing; Carlson, Barbara E.; Lacis, Andrew A.</p> <p>2014-01-01</p> <p>Moderate Resolution <span class="hlt">Imaging</span> SpectroRadiometer (MODIS) and Multi-angle <span class="hlt">Imaging</span> Spectroradiomater (MISR) provide regular <span class="hlt">aerosol</span> observations with global coverage. It is essential to examine the coherency between space- and ground-measured <span class="hlt">aerosol</span> parameters in representing <span class="hlt">aerosol</span> spatial and temporal variability, especially in the climate forcing and model validation context. In this paper, we introduce Maximum Covariance Analysis (MCA), also known as Singular Value Decomposition analysis as an effective way to compare correlated <span class="hlt">aerosol</span> spatial and temporal patterns between satellite measurements and AERONET data. This technique not only successfully extracts the variability of major <span class="hlt">aerosol</span> regimes but also allows the simultaneous examination of the <span class="hlt">aerosol</span> variability both spatially and temporally. More importantly, it well accommodates the sparsely distributed AERONET data, for which other spectral decomposition methods, such as Principal Component Analysis, do not yield satisfactory results. The comparison shows overall good agreement between MODIS/MISR and AERONET AOD variability. The correlations between the first three modes of MCA results for both MODIS/AERONET and MISR/ AERONET are above 0.8 for the full data set and above 0.75 for the AOD anomaly data. The correlations between MODIS and MISR modes are also quite high (greater than 0.9). We also examine the extent of spatial agreement between satellite and AERONET AOD data at the selected stations. Some sites with disagreements in the MCA results, such as Kanpur, also have low spatial coherency. This should be associated partly with high AOD spatial variability and partly with uncertainties in satellite retrievals due to the seasonally varying <span class="hlt">aerosol</span> types and surface properties.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017EGUGA..1911324N','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017EGUGA..1911324N"><span>The current status of the mission instruments of GOSAT-2</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Nakajima, Masakatsu; Yajima, Yukie; Hashimoto, Makiko; Shiomi, Kei; Suto, Hiroshi; Imai, Hiroko</p> <p>2017-04-01</p> <p>The GOSAT-2 is the successor satellite to the GOSAT which is the satellite dedicated to the measurements of the greenhouse gases such as carbon dioxide and methane. GOSAT was launched in January of 2009 and has been operated for about seven years. The development of the GOSAT-2 has been continued for three years, and currently the proto-flight model is under manufacturing. The mission instruments of the GOSAT-2 are TANSO-FTS-2 and TANSO-<span class="hlt">CAI</span>-2. TANSO-FTS-2 is the Fourier Transform Spectrometer observing greenhouse gases such as Carbon Dioxide and Methane and TANSO-<span class="hlt">CAI</span>-2 is the <span class="hlt">imager</span> observing the <span class="hlt">aerosols</span> and clouds to compensate the TANSO-FTS-2 data and to grasp the movements of the <span class="hlt">aerosols</span> such as PM2.5. The mission instruments will adopt the same kinds of instruments as GOSAT. But some improvements will be carried. Based on the results of the critical design, the manufacturing of the proto-flight model was started and through the manufacturing, the gap has emerged between the design and manufacturing. Especially, the results of the polarization sensitivity of the TANSO-<span class="hlt">CAI</span>-2 was lower than 3% which is the requirements and the results of the test manufacturing has shown that it has been over than 40%. The root cause of this anomaly was that the thickness of the anti-reflecting coating had varied from place to place. Therefore the design of the thickness of the anti-reflecting coating has been changed with consideration for the difference of the thickness of the coat between the center and edge of the lens. And we could meet the polarization sensitivity requirement. In this presentation, the root cause and the investigation process of the polarization sensitivity anomaly will be presented as well as the current status of the manufacturing of the mission instruments of GOSAT-2.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2014E%26ES...17a2036G','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2014E%26ES...17a2036G"><span>Trend analysis of the <span class="hlt">aerosol</span> optical depth from fusion of MISR and MODIS retrievals over China</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Guo, Jing; Gu, Xingfa; Yu, Tao; Cheng, Tianhai; Chen, Hao</p> <p>2014-03-01</p> <p>Atmospheric <span class="hlt">aerosol</span> plays an important role in the climate change though direct and indirect processes. In order to evaluate the effects of <span class="hlt">aerosols</span> on climate, it is necessary to have a research on their spatial and temporal distributions. Satellite <span class="hlt">aerosol</span> remote sensing is a developing technology that may provide good temporal sampling and superior spatial coverage to study <span class="hlt">aerosols</span>. The Moderate Resolution <span class="hlt">Imaging</span> Spectroradiometer (MODIS) and Multi-angle <span class="hlt">Imaging</span> Spectroradiometer (MISR) have provided <span class="hlt">aerosol</span> observations since 2000, with large coverage and high accuracy. However, due to the complex surface, cloud contamination, and <span class="hlt">aerosol</span> models used in the retrieving process, the uncertainties still exist in current satellite <span class="hlt">aerosol</span> products. There are several observed differences in comparing the MISR and MODIS AOD data with the AERONET AOD. Combing multiple sensors could reduce uncertainties and improve observational accuracy. The validation results reveal that a better agreement between fusion AOD and AERONET AOD. The results confirm that the fusion AOD values are more accurate than single sensor. We have researched the trend analysis of the <span class="hlt">aerosol</span> properties over China based on nine-year (2002-2010) fusion data. Compared with trend analysis in Jingjintang and Yangtze River Delta, the accuracy has increased by 5% and 3%, respectively. It is obvious that the increasing trend of the AOD occurred in Yangtze River Delta, where human activities may be the main source of the increasing AOD.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.ncbi.nlm.nih.gov/pubmed/28059350','PUBMED'); return false;" href="https://www.ncbi.nlm.nih.gov/pubmed/28059350"><span>Simple <span class="hlt">aerosol</span> correction technique based on the spectral relationships of the <span class="hlt">aerosol</span> multiple-scattering reflectances for atmospheric correction over the oceans.</span></a></p> <p><a target="_blank" href="https://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pubmed">PubMed</a></p> <p>Ahn, Jae-Hyun; Park, Young-Je; Kim, Wonkook; Lee, Boram</p> <p>2016-12-26</p> <p>An estimation of the <span class="hlt">aerosol</span> multiple-scattering reflectance is an important part of the atmospheric correction procedure in satellite ocean color data processing. Most commonly, the utilization of two near-infrared (NIR) bands to estimate the <span class="hlt">aerosol</span> optical properties has been adopted for the estimation of the effects of <span class="hlt">aerosols</span>. Previously, the operational Geostationary Color Ocean <span class="hlt">Imager</span> (GOCI) atmospheric correction scheme relies on a single-scattering reflectance ratio (SSE), which was developed for the processing of the Sea-viewing Wide Field-of-view Sensor (SeaWiFS) data to determine the appropriate <span class="hlt">aerosol</span> models and their <span class="hlt">aerosol</span> optical thicknesses. The scheme computes reflectance contributions (weighting factor) of candidate <span class="hlt">aerosol</span> models in a single scattering domain then spectrally extrapolates the single-scattering <span class="hlt">aerosol</span> reflectance from NIR to visible (VIS) bands using the SSE. However, it directly applies the weight value to all wavelengths in a multiple-scattering domain although the multiple-scattering <span class="hlt">aerosol</span> reflectance has a non-linear relationship with the single-scattering reflectance and inter-band relationship of multiple scattering <span class="hlt">aerosol</span> reflectances is non-linear. To avoid these issues, we propose an alternative scheme for estimating the <span class="hlt">aerosol</span> reflectance that uses the spectral relationships in the <span class="hlt">aerosol</span> multiple-scattering reflectance between different wavelengths (called SRAMS). The process directly calculates the multiple-scattering reflectance contributions in NIR with no residual errors for selected <span class="hlt">aerosol</span> models. Then it spectrally extrapolates the reflectance contribution from NIR to visible bands for each selected model using the SRAMS. To assess the performance of the algorithm regarding the errors in the water reflectance at the surface or remote-sensing reflectance retrieval, we compared the SRAMS atmospheric correction results with the SSE atmospheric correction using both simulations and in situ match-ups with the</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.ncbi.nlm.nih.gov/pubmed/16032754','PUBMED'); return false;" href="https://www.ncbi.nlm.nih.gov/pubmed/16032754"><span>Design and utility of a web-based computer-assisted instructional tool for neuroanatomy self-study and review for physical and occupational therapy graduate students.</span></a></p> <p><a target="_blank" href="https://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pubmed">PubMed</a></p> <p>Foreman, K Bo; Morton, David A; Musolino, Gina Maria; Albertine, Kurt H</p> <p>2005-07-01</p> <p>The cadaver continues to be the primary tool to teach human gross anatomy. However, cadavers are not available to students outside of the teaching laboratory. A solution is to make course content available through computer-assisted instruction (<span class="hlt">CAI</span>). While <span class="hlt">CAI</span> is commonly used as an ancillary teaching tool for anatomy, use of screen space, annotations that obscure the <span class="hlt">image</span>, and restricted interactivity have limited the utility of such teaching tools. To address these limitations, we designed a Web-based <span class="hlt">CAI</span> tool that optimizes use of screen space, uses annotations that do not decrease the clarity of the <span class="hlt">images</span>, and incorporates interactivity across different operating systems and browsers. To assess the design and utility of our <span class="hlt">CAI</span> tool, we conducted a prospective evaluation of 43 graduate students enrolled in neuroanatomy taught by the Divisions of Physical and Occupational Therapy at the University of Utah, College of Health. A questionnaire addressed navigation, clarity of the <span class="hlt">images</span>, benefit of the <span class="hlt">CAI</span> tool, and rating of the <span class="hlt">CAI</span> tool compared to traditional learning tools. Results showed that 88% of the respondents strongly agreed that the <span class="hlt">CAI</span> tool was easy to navigate and overall beneficial. Eighty-four percent strongly agreed that the <span class="hlt">CAI</span> tool was educational in structure identification and had clear <span class="hlt">images</span>. Furthermore, 95% of the respondents thought that the <span class="hlt">CAI</span> tool was much to somewhat better than traditional learning tools. We conclude that the design of a <span class="hlt">CAI</span> tool, with minimal limitations, provides a useful ancillary tool for human neuroanatomy instruction. Copyright 2005 Wiley-Liss, Inc.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017ClDy..tmp..457L','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017ClDy..tmp..457L"><span>Relationship between <span class="hlt">aerosol</span> and lightning over Indo-Gangetic Plain (IGP), India</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Lal, D. M.; Ghude, Sachin D.; Mahakur, M.; Waghmare, R. T.; Tiwari, S.; Srivastava, Manoj K.; Meena, G. S.; Chate, D. M.</p> <p>2017-08-01</p> <p>The relationship between <span class="hlt">aerosol</span> and lightning over the Indo-Gangetic Plain (IGP), India has been evaluated by utilising <span class="hlt">aerosol</span> optical depth (AOD), cloud droplet effective radius and cloud fraction from Moderate Resolution <span class="hlt">Imaging</span> Spectroradiometer. Lightning flashes have been observed by the lightning <span class="hlt">Imaging</span> sensor on the board of Tropical Rainfall and Measuring Mission and humidity from modern-era retrospective-analysis for research and applications for the period of 2001-2012. In this study, the role of <span class="hlt">aerosol</span> in lightning generation over the north-west sector of IGP has been revealed. It is found that lightning activity increases (decreases) with increasing <span class="hlt">aerosols</span> during normal (deficient) monsoon rainfall years. However, lightning increases with increasing <span class="hlt">aerosol</span> during deficient rainfall years when the average value of AOD is less than 0.88. We have found that during deficient rainfall years the moisture content of the atmosphere and cloud fraction is smaller than that during the years with normal or excess monsoon rainfall over the north-west IGP. Over the north-east Bay of Bengal and its adjoining region the variations of moisture and cloud fraction between the deficient and normal rainfall years are minimal. We have found that the occurrence of the lightning over this region is primarily due to its topography and localised circulation. The warm-dry air approaching from north-west converges with moist air emanating from the Bay of Bengal causing instability that creates an environment for deep convective cloud and lightning. The relationship between lightning and <span class="hlt">aerosol</span> is stronger over the north-west sector of IGP than the north-east, whereas it is moderate over the central IGP. We conclude that <span class="hlt">aerosol</span> is playing a major role in lightning activity over the north-west sector of IGP, but, local meteorological conditions such as convergences of dry and moist air is the principal cause of lightning over the north-east sector of IGP. In addition</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2015AGUFM.A31D0078Z','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2015AGUFM.A31D0078Z"><span>From OLS to VIIRS, an overview of nighttime satellite <span class="hlt">aerosol</span> retrievals using artificial light sources</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Zhang, J.; Miller, S. D.; Reid, J. S.; Hyer, E. J.; McHardy, T. M.</p> <p>2015-12-01</p> <p>Compared to abundant daytime satellite-based observations of atmospheric <span class="hlt">aerosol</span>, observations at night are relatively scarce. In particular, conventional satellite passive <span class="hlt">imaging</span> radiometers, which offer expansive swaths of spatial coverage compared to non-scanning lidar systems, lack sensitivity to most <span class="hlt">aerosol</span> types via the available thermal infrared bands available at night. In this talk, we make the fundamental case for the importance of nighttime <span class="hlt">aerosol</span> information in forecast models, and the need to mitigate the existing nocturnal gap. We review early attempts at estimating nighttime <span class="hlt">aerosol</span> optical properties using the modulation of stable artificial surface lights. Initial algorithm development using DMSP Operational Linescan System (OLS) has graduated to refined techniques based on the Suomi-NPP Visible Infrared <span class="hlt">Imaging</span> Radiometer Suite (VIIRS) Day/Night Band (DNB). We present examples of these retrievals for selected cases and compare the results to available surface-based point-source validation data.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20140012646','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20140012646"><span>Application of Spectral Analysis Techniques in the Intercomparison of <span class="hlt">Aerosol</span> Data: Part III. Using Combined PCA to Compare Spatiotemporal Variability of MODIS, MISR and OMI <span class="hlt">Aerosol</span> Optical Depth</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Li, Jing; Carlson, Barbara E.; Lacis, Andrew A.</p> <p>2014-01-01</p> <p>Satellite measurements of global <span class="hlt">aerosol</span> properties are very useful in constraining <span class="hlt">aerosol</span> parameterization in climate models. The reliability of different data sets in representing global and regional <span class="hlt">aerosol</span> variability becomes an essential question. In this study, we present the results of a comparison using combined principal component analysis (CPCA), applied to monthly mean, mapped (Level 3) <span class="hlt">aerosol</span> optical depth (AOD) product from Moderate Resolution <span class="hlt">Imaging</span> Spectroradiometer (MODIS), Multiangle <span class="hlt">Imaging</span> Spectroradiometer (MISR), and Ozone Monitoring Instrument (OMI). This technique effectively finds the common space-time variability in the multiple data sets by decomposing the combined AOD field. The results suggest that all of the sensors capture the globally important <span class="hlt">aerosol</span> regimes, including dust, biomass burning, pollution, and mixed <span class="hlt">aerosol</span> types. Nonetheless, differences are also noted. Specifically, compared with MISR and OMI, MODIS variability is significantly higher over South America, India, and the Sahel. MODIS deep blue AOD has a lower seasonal variability in North Africa, accompanied by a decreasing trend that is not found in either MISR or OMI AOD data. The narrow swath of MISR results in an underestimation of dust variability over the Taklamakan Desert. The MISR AOD data also exhibit overall lower variability in South America and the Sahel. OMI does not capture the Russian wild fire in 2010 nor the phase shift in biomass burning over East South America compared to Central South America, likely due to cloud contamination and the OMI row anomaly. OMI also indicates a much stronger (boreal) winter peak in South Africa compared with MODIS and MISR.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://ntrs.nasa.gov/search.jsp?R=20160007477&hterms=blue&qs=N%3D0%26Ntk%3DAll%26Ntx%3Dmode%2Bmatchall%26Ntt%3Dblue','NASA-TRS'); return false;" href="https://ntrs.nasa.gov/search.jsp?R=20160007477&hterms=blue&qs=N%3D0%26Ntk%3DAll%26Ntx%3Dmode%2Bmatchall%26Ntt%3Dblue"><span>Extending "Deep Blue" <span class="hlt">Aerosol</span> Retrieval Coverage to Cases of Absorbing <span class="hlt">Aerosols</span> Above Clouds: Sensitivity Analysis and First Case Studies</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Sayer, A. M.; Hsu, N. C.; Bettenhausen, C.; Lee, J.; Redemann, J.; Schmid, B.; Shinozuka, Y.</p> <p>2016-01-01</p> <p>Cases of absorbing <span class="hlt">aerosols</span> above clouds (AACs), such as smoke or mineral dust, are omitted from most routinely processed space-based <span class="hlt">aerosol</span> optical depth (AOD) data products, including those from the Moderate Resolution <span class="hlt">Imaging</span> Spectroradiometer (MODIS). This study presents a sensitivity analysis and preliminary algorithm to retrieve above-cloud AOD and liquid cloud optical depth (COD) for AAC cases from MODIS or similar sensors, for incorporation into a future version of the "Deep Blue" AOD data product. Detailed retrieval simulations suggest that these sensors should be able to determine AAC AOD with a typical level of uncertainty approximately 25-50 percent (with lower uncertainties for more strongly absorbing <span class="hlt">aerosol</span> types) and COD with an uncertainty approximately10-20 percent, if an appropriate <span class="hlt">aerosol</span> optical model is known beforehand. Errors are larger, particularly if the <span class="hlt">aerosols</span> are only weakly absorbing, if the <span class="hlt">aerosol</span> optical properties are not known, and the appropriate model to use must also be retrieved. Actual retrieval errors are also compared to uncertainty envelopes obtained through the optimal estimation (OE) technique; OE-based uncertainties are found to be generally reasonable for COD but larger than actual retrieval errors for AOD, due in part to difficulties in quantifying the degree of spectral correlation of forward model error. The algorithm is also applied to two MODIS scenes (one smoke and one dust) for which near-coincident NASA Ames Airborne Tracking Sun photometer (AATS) data were available to use as a ground truth AOD data source, and found to be in good agreement, demonstrating the validity of the technique with real observations.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2016JGRD..121.4830S','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2016JGRD..121.4830S"><span>Extending "Deep Blue" <span class="hlt">aerosol</span> retrieval coverage to cases of absorbing <span class="hlt">aerosols</span> above clouds: Sensitivity analysis and first case studies</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Sayer, A. M.; Hsu, N. C.; Bettenhausen, C.; Lee, J.; Redemann, J.; Schmid, B.; Shinozuka, Y.</p> <p>2016-05-01</p> <p>Cases of absorbing <span class="hlt">aerosols</span> above clouds (AACs), such as smoke or mineral dust, are omitted from most routinely processed space-based <span class="hlt">aerosol</span> optical depth (AOD) data products, including those from the Moderate Resolution <span class="hlt">Imaging</span> Spectroradiometer (MODIS). This study presents a sensitivity analysis and preliminary algorithm to retrieve above-cloud AOD and liquid cloud optical depth (COD) for AAC cases from MODIS or similar sensors, for incorporation into a future version of the "Deep Blue" AOD data product. Detailed retrieval simulations suggest that these sensors should be able to determine AAC AOD with a typical level of uncertainty ˜25-50% (with lower uncertainties for more strongly absorbing <span class="hlt">aerosol</span> types) and COD with an uncertainty ˜10-20%, if an appropriate <span class="hlt">aerosol</span> optical model is known beforehand. Errors are larger, particularly if the <span class="hlt">aerosols</span> are only weakly absorbing, if the <span class="hlt">aerosol</span> optical properties are not known, and the appropriate model to use must also be retrieved. Actual retrieval errors are also compared to uncertainty envelopes obtained through the optimal estimation (OE) technique; OE-based uncertainties are found to be generally reasonable for COD but larger than actual retrieval errors for AOD, due in part to difficulties in quantifying the degree of spectral correlation of forward model error. The algorithm is also applied to two MODIS scenes (one smoke and one dust) for which near-coincident NASA Ames Airborne Tracking Sun photometer (AATS) data were available to use as a ground truth AOD data source, and found to be in good agreement, demonstrating the validity of the technique with real observations.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20110015299','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20110015299"><span>Identifying <span class="hlt">Aerosol</span> Type/Mixture from <span class="hlt">Aerosol</span> Absorption Properties Using AERONET</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Giles, D. M.; Holben, B. N.; Eck, T. F.; Sinyuk, A.; Dickerson, R. R.; Thompson, A. M.; Slutsker, I.; Li, Z.; Tripathi, S. N.; Singh, R. P.; <a style="text-decoration: none; " href="javascript:void(0); " onClick="displayelement('author_20110015299'); toggleEditAbsImage('author_20110015299_show'); toggleEditAbsImage('author_20110015299_hide'); "> <img style="display:inline; width:12px; height:12px; " src="images/arrow-up.gif" width="12" height="12" border="0" alt="hide" id="author_20110015299_show"> <img style="width:12px; height:12px; display:none; " src="images/arrow-down.gif" width="12" height="12" border="0" alt="hide" id="author_20110015299_hide"></p> <p>2010-01-01</p> <p><span class="hlt">Aerosols</span> are generated in the atmosphere through anthropogenic and natural mechanisms. These sources have signatures in the <span class="hlt">aerosol</span> optical and microphysical properties that can be used to identify the <span class="hlt">aerosol</span> type/mixture. Spectral <span class="hlt">aerosol</span> absorption information (absorption Angstrom exponent; AAE) used in conjunction with the particle size parameterization (extinction Angstrom exponent; EAE) can only identify the dominant absorbing <span class="hlt">aerosol</span> type in the sample volume (e.g., black carbon vs. iron oxides in dust). This AAE/EAE relationship can be expanded to also identify non-absorbing <span class="hlt">aerosol</span> types/mixtures by applying an absorption weighting. This new relationship provides improved <span class="hlt">aerosol</span> type distinction when the magnitude of absorption is not equal (e.g, black carbon vs. sulfates). The <span class="hlt">Aerosol</span> Robotic Network (AERONET) data provide spectral <span class="hlt">aerosol</span> optical depth and single scattering albedo - key parameters used to determine EAE and AAE. The proposed <span class="hlt">aerosol</span> type/mixture relationship is demonstrated using the long-term data archive acquired at AERONET sites within various source regions. The preliminary analysis has found that dust, sulfate, organic carbon, and black carbon <span class="hlt">aerosol</span> types/mixtures can be determined from this AAE/EAE relationship when applying the absorption weighting for each available wavelength (Le., 440, 675, 870nm). Large, non-spherical dust particles absorb in the shorter wavelengths and the application of 440nm wavelength absorption weighting produced the best particle type definition. Sulfate particles scatter light efficiently and organic carbon particles are small near the source and aggregate over time to form larger less absorbing particles. Both sulfates and organic carbon showed generally better definition using the 870nm wavelength absorption weighting. Black carbon generation results from varying combustion rates from a number of sources including industrial processes and biomass burning. Cases with primarily black carbon showed</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://ntrs.nasa.gov/search.jsp?R=20080036106&hterms=operating+system+concepts&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D70%26Ntt%3Doperating%2Bsystem%2Bconcepts','NASA-TRS'); return false;" href="https://ntrs.nasa.gov/search.jsp?R=20080036106&hterms=operating+system+concepts&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D70%26Ntt%3Doperating%2Bsystem%2Bconcepts"><span>Dual-Photoelastic-Modulator-Based Polarimetric <span class="hlt">Imaging</span> Concept for <span class="hlt">Aerosol</span> Remote Sensing</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Diner, David J.; Davis, Ab; Hancock, Bruce; Gutt, Gary; Chipman, Russell A.; Cairns, Brian</p> <p>2007-01-01</p> <p>A dual-photoelastic-modulator- (PEM-) based spectropolarimetric camera concept is presented as an approach for global <span class="hlt">aerosol</span> monitoring from space. The most challenging performance objective is to measure degree of linear polarization (DOLP) with an uncertainty of less than 0.5% in multiple spectral bands, at moderately high spatial resolution, over a wide field of view, and for the duration of a multiyear mission. To achieve this, the tandem PEMs are operated as an electro-optic circular retardance modulator within a high-performance reflective <span class="hlt">imaging</span> system. Operating the PEMs at slightly different resonant frequencies generates a beat signal that modulates the polarized component of the incident light at a much lower heterodyne frequency. The Stokes parameter ratio q = Q/I is obtained from measurements acquired from each pixel during a single frame, providing insensitivity to pixel responsivity drift and minimizing polarization artifacts that conventionally arise when this quantity is derived from differences in the signals from separate detectors. Similarly, u = U/I is obtained from a different pixel; q and u are then combined to form the DOLP. A detailed accuracy and tolerance analysis for this polarimeter is presented.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.pubmedcentral.nih.gov/articlerender.fcgi?tool=pmcentrez&artid=3615928','PMC'); return false;" href="https://www.pubmedcentral.nih.gov/articlerender.fcgi?tool=pmcentrez&artid=3615928"><span>Physicochemical characterization and <span class="hlt">aerosol</span> dispersion performance of organic solution advanced spray-dried cyclosporine A multifunctional particles for dry powder inhalation <span class="hlt">aerosol</span> delivery</span></a></p> <p><a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pmc">PubMed Central</a></p> <p>Wu, Xiao; Zhang, Weifen; Hayes, Don; Mansour, Heidi M</p> <p>2013-01-01</p> <p>In this systematic and comprehensive study, inhalation powders of the polypeptide immunosuppressant drug – cyclosporine A – for lung delivery as dry powder inhalers (DPIs) were successfully designed, developed, and optimized. Several spray drying pump rates were rationally chosen. Comprehensive physicochemical characterization and <span class="hlt">imaging</span> was carried out using scanning electron microscopy, hot-stage microscopy, differential scanning calorimetry, powder X-ray diffraction, Karl Fischer titration, laser size diffraction, and gravimetric vapor sorption. <span class="hlt">Aerosol</span> dispersion performance was conducted using a next generation impactor with a Food and Drug Administration-approved DPI device. These DPIs displayed excellent <span class="hlt">aerosol</span> dispersion performance with high values in emitted dose, respirable fraction, and fine particle fraction. In addition, novel multifunctional inhalation <span class="hlt">aerosol</span> powder formulations of cyclosporine A with lung surfactant-mimic phospholipids were also successfully designed and developed by advanced organic solution cospray drying in closed mode. The lung surfactantmimic phospholipids were 1,2-dipalmitoyl-sn-glycero-3-phosphocholine and 1,2-dipalmitoyl-snglycero- 3-(phosphor-rac-1-glycerol). These cyclosporine A lung surfactant-mimic <span class="hlt">aerosol</span> powder formulations were comprehensively characterized. Powder X-ray diffraction and differential scanning calorimetry confirmed that the phospholipid bilayer structure in the solid state was preserved following advanced organic solution spray drying in closed mode. These novel multifunctional inhalation powders were optimized for DPI delivery with excellent <span class="hlt">aerosol</span> dispersion performance and high <span class="hlt">aerosol</span> performance parameters. PMID:23569375</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.pubmedcentral.nih.gov/articlerender.fcgi?tool=pmcentrez&artid=5075582','PMC'); return false;" href="https://www.pubmedcentral.nih.gov/articlerender.fcgi?tool=pmcentrez&artid=5075582"><span>The role of anisotropic expansion for pulmonary acinar <span class="hlt">aerosol</span> deposition</span></a></p> <p><a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pmc">PubMed Central</a></p> <p>Hofemeier, Philipp; Sznitman, Josué</p> <p>2016-01-01</p> <p>Lung deformations at the local pulmonary acinar scale are intrinsically anisotropic. Despite progress in <span class="hlt">imaging</span> modalities, the true heterogeneous nature of acinar expansion during breathing remains controversial, where our understanding of inhaled <span class="hlt">aerosol</span> deposition still widely emanates from studies under self-similar, isotropic wall motions. Building on recent 3D models of multi-generation acinar networks, we explore in numerical simulations how different hypothesized scenarios of anisotropic expansion influence deposition outcomes of inhaled <span class="hlt">aerosols</span> in the acinar depths. While the broader range of particles acknowledged to reach the acinar region (dp = 0.005–5.0 μm) are largely unaffected by the details of anisotropic expansion under tidal breathing, our results suggest nevertheless that anisotropy modulates the deposition sites and fractions for a narrow band of sub-micron particles (dp ~ 0.5–0.75 μm), where the fate of <span class="hlt">aerosols</span> is greatly intertwined with local convective flows. Our findings underscore how intrinsic <span class="hlt">aerosol</span> motion (i.e. diffusion, sedimentation) undermines the role of anisotropic wall expansion that is often attributed in determining <span class="hlt">aerosol</span> mixing and acinar deposition. PMID:27614613</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017PhDT........39E','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017PhDT........39E"><span>Comprehensive Airborne in Situ Characterization of Atmospheric <span class="hlt">Aerosols</span>: From Angular Light Scattering to Particle Microphysics</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Espinosa, W. Reed</p> <p></p> <p>A comprehensive understanding of atmospheric <span class="hlt">aerosols</span> is necessary both to understand Earth's climate as well as produce skillful air quality forecasts. In order to advance our understanding of <span class="hlt">aerosols</span>, the Laboratory for <span class="hlt">Aerosols</span>, Clouds and Optics (LACO) has recently developed the <span class="hlt">Imaging</span> Polar Nephelometer instrument concept for the in situ measurement of <span class="hlt">aerosol</span> scattering properties. <span class="hlt">Imaging</span> Nephelometers provide measurements of absolute phase function and polarized phase function over a wide angular range, typically 3 degrees to 177 degrees, with an angular resolution smaller than one degree. The first of these instruments, the Polarized <span class="hlt">Imaging</span> Nephelometer (PI-Neph), has taken part in five airborne field experiments and is the only modern <span class="hlt">aerosol</span> polar nephelometer to have flown aboard an aircraft. A method for the retrieval of <span class="hlt">aerosol</span> optical and microphysical properties from I-Neph measurements is presented and the results are compared with existing measurement techniques. The resulting retrieved particle size distributions agree to within experimental error with measurements made by commercial optical particle counters. Additionally, the retrieved real part of the refractive index is generally found to be within the predicted error of 0.02 from the expected values for three species of humidified salt particles, whose refractive index is well established. A synopsis is then presented of <span class="hlt">aerosol</span> scattering measurements made by the PI-Neph during the Studies of Emissions and Atmospheric Composition, Clouds and Climate Coupling by Regional Surveys (SEAC4RS) and the Deep Convection Clouds and Chemistry (DC3) field campaigns. To better summarize these extensive datasets a novel <span class="hlt">aerosol</span> classification scheme is developed, making use of ancillary data that includes gas tracers, chemical composition, aerodynamic particle size and geographic location, all independent of PI-Neph measurements. Principal component analysis (PCA) is then used to reduce the</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.osti.gov/servlets/purl/919902','DOE-PATENT-XML'); return false;" href="https://www.osti.gov/servlets/purl/919902"><span><span class="hlt">Aerosol</span> mobility size spectrometer</span></a></p> <p><a target="_blank" href="http://www.osti.gov/doepatents">DOEpatents</a></p> <p>Wang, Jian; Kulkarni, Pramod</p> <p>2007-11-20</p> <p>A device for measuring <span class="hlt">aerosol</span> size distribution within a sample containing <span class="hlt">aerosol</span> particles. The device generally includes a spectrometer housing defining an interior chamber and a camera for recording <span class="hlt">aerosol</span> size streams exiting the chamber. The housing includes an inlet for introducing a flow medium into the chamber in a flow direction, an <span class="hlt">aerosol</span> injection port adjacent the inlet for introducing a charged <span class="hlt">aerosol</span> sample into the chamber, a separation section for applying an electric field to the <span class="hlt">aerosol</span> sample across the flow direction and an outlet opposite the inlet. In the separation section, the <span class="hlt">aerosol</span> sample becomes entrained in the flow medium and the <span class="hlt">aerosol</span> particles within the <span class="hlt">aerosol</span> sample are separated by size into a plurality of <span class="hlt">aerosol</span> flow streams under the influence of the electric field. The camera is disposed adjacent the housing outlet for optically detecting a relative position of at least one <span class="hlt">aerosol</span> flow stream exiting the outlet and for optically detecting the number of <span class="hlt">aerosol</span> particles within the at least one <span class="hlt">aerosol</span> flow stream.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2013EGUGA..15.1515B','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2013EGUGA..15.1515B"><span>Sensitivity of atmospheric correction to loading and model of the <span class="hlt">aerosol</span></span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Bassani, Cristiana; Braga, Federica; Bresciani, Mariano; Giardino, Claudia; Adamo, Maria; Ananasso, Cristina; Alberotanza, Luigi</p> <p>2013-04-01</p> <p>The physically-based atmospheric correction requires knowledge of the atmospheric conditions during the remotely data acquisitions [Guanter et al., 2007; Gao et al., 2009; Kotchenova et al. 2009; Bassani et al., 2010]. The propagation of solar radiation in the atmospheric window of visible and near-infrared spectral domain, depends on the <span class="hlt">aerosol</span> scattering. The effects of solar beam extinction are related to the <span class="hlt">aerosol</span> loading, by the <span class="hlt">aerosol</span> optical thickness @550nm (AOT) parameter [Kaufman et al., 1997; Vermote et al., 1997; Kotchenova et al., 2008; Kokhanovsky et al. 2010], and also to the <span class="hlt">aerosol</span> model. Recently, the atmospheric correction of hyperspectral data is considered sensitive to the micro-physical and optical characteristics of <span class="hlt">aerosol</span>, as reported in [Bassani et al., 2012]. Within the framework of CLAM-PHYM (Coasts and Lake Assessment and Monitoring by PRISMA HYperspectral Mission) project, funded by Italian Space Agency (ASI), the role of the <span class="hlt">aerosol</span> model on the accuracy of the atmospheric correction of hyperspectral <span class="hlt">image</span> acquired over water target is investigated. In this work, the results of the atmospheric correction of HICO (Hyperspectral <span class="hlt">Imager</span> for the Coastal Ocean) <span class="hlt">images</span> acquired on Northern Adriatic Sea in the Mediterranean are presented. The atmospheric correction has been performed by an algorithm specifically developed for HICO sensor. The algorithm is based on the equation presented in [Vermote et al., 1997; Bassani et al., 2010] by using the last generation of the Second Simulation of a Satellite Signal in the Solar Spectrum (6S) radiative transfer code [Kotchenova et al., 2008; Vermote et al., 2009]. The sensitive analysis of the atmospheric correction of HICO data is performed with respect to the <span class="hlt">aerosol</span> optical and micro-physical properties used to define the <span class="hlt">aerosol</span> model. In particular, a variable mixture of the four basic components: dust- like, oceanic, water-soluble, and soot, has been considered. The water reflectance</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/19970024878','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/19970024878"><span>Satellite Estimates of the Direct Radiative Forcing of Biomass Burning <span class="hlt">Aerosols</span> Over South America and Africa</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Christopher, Sundar A.; Wang, Min; Kliche, Donna V.; Berendes, Todd; Welch, Ronald M.; Yang, S.K.</p> <p>1997-01-01</p> <p>Atmospheric <span class="hlt">aerosol</span> particles, both natural and anthropogenic are important to the earth's radiative balance. Therefore it is important to provide adequate validation information on the spatial, temporal and radiative properties of <span class="hlt">aerosols</span>. This will enable us to predict realistic global estimates of <span class="hlt">aerosol</span> radiative effects more confidently. The current study utilizes 66 AVHRR LAC (Local Area Coverage) and coincident Earth Radiation Budget Experiment (ERBE) <span class="hlt">images</span> to characterize the fires, smoke and radiative forcings of biomass burning <span class="hlt">aerosols</span> over four major ecosystems of South America.</p> </li> </ol> <div class="pull-right"> <ul class="pagination"> <li><a href="#" onclick='return showDiv("page_1");'>«</a></li> <li><a href="#" onclick='return showDiv("page_17");'>17</a></li> <li><a href="#" onclick='return showDiv("page_18");'>18</a></li> <li class="active"><span>19</span></li> <li><a href="#" onclick='return showDiv("page_20");'>20</a></li> <li><a href="#" onclick='return showDiv("page_21");'>21</a></li> <li><a href="#" onclick='return showDiv("page_25");'>»</a></li> </ul> </div> </div><!-- col-sm-12 --> </div><!-- row --> </div><!-- page_19 --> <div id="page_20" class="hiddenDiv"> <div class="row"> <div class="col-sm-12"> <div class="pull-right"> <ul class="pagination"> <li><a href="#" onclick='return showDiv("page_1");'>«</a></li> <li><a href="#" onclick='return showDiv("page_18");'>18</a></li> <li><a href="#" onclick='return showDiv("page_19");'>19</a></li> <li class="active"><span>20</span></li> <li><a href="#" onclick='return showDiv("page_21");'>21</a></li> <li><a href="#" onclick='return showDiv("page_22");'>22</a></li> <li><a href="#" onclick='return showDiv("page_25");'>»</a></li> </ul> </div> </div> </div> <div class="row"> <div class="col-sm-12"> <ol class="result-class" start="381"> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2008cosp...37...48A','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2008cosp...37...48A"><span>Variability of <span class="hlt">Aerosol</span> and its Impact on Cloud Properties Over Different Cities of Pakistan</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Alam, Khan</p> <p></p> <p>Interaction between <span class="hlt">aerosols</span> and clouds is the subject of considerable scientific research, due to the importance of clouds in controlling climate. <span class="hlt">Aerosols</span> vary in time in space and can lead to variations in cloud microphysics. This paper is a pilot study to examine the temporal and spatial variation of <span class="hlt">aerosol</span> particles and their impact on different cloud optical properties in the territory of Pakistan using the Moderate resolution <span class="hlt">Imaging</span> Spectroradiometer (MODIS) on board NASA's Terra satellite data and Multi-angle <span class="hlt">Imaging</span> Spectroradiometer (MISR) data. We also use Hybrid Single Particle Lagrangian Integrated Trajectory (HYSPLIT) model for trajectory analysis to obtain origin of air masses in order to understand the spatial and temporal variability of <span class="hlt">aerosol</span> concentrations. We validate data of MODIS and MISR by using linear correlation and regression analysis, which shows that there is an excellent agreement between data of these instruments. Seasonal study of <span class="hlt">Aerosol</span> Optical Depth (AOD) shows that maximum value is found in monsoon season (June-August) over all study areas. We analyze the relationships between <span class="hlt">aerosol</span> optical depth (AOD) and some cloud parameters like water vapor (WV), cloud fraction (CF), cloud top temperature (CTT) and cloud top pressure (CTP). We construct the regional correlation maps and time series plots for <span class="hlt">aerosol</span> and cloud parameters mandatory for the better understanding of <span class="hlt">aerosol</span>-cloud interaction. Our analyses show that there is a strong positive correlation between AOD and water vapor in all cities. The correlation between AOD and CF is positive for the cities where the air masses are moist while the correlation is negative for cities where air masses are relatively dry and with lower <span class="hlt">aerosol</span> abundance. It shows that these correlations depend on meteorological conditions. Similarly as AOD increases Cloud Top Pressure (CTP) is decreasing while Cloud Top Temperature (CTT) is increasing. Key Words: MODIS, MISR, HYSPLIT, AOD, CF, CTP</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2003TrGeo...4...91B','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2003TrGeo...4...91B"><span>Tropospheric <span class="hlt">Aerosols</span></span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Buseck, P. R.; Schwartz, S. E.</p> <p>2003-12-01</p> <p>It is widely believed that "On a clear day you can see forever," as proclaimed in the 1965 Broadway musical of the same name. While an admittedly beautiful thought, we all know that this concept is only figurative. Aside from Earth's curvature and Rayleigh scattering by air molecules, <span class="hlt">aerosols</span> - colloidal suspensions of solid or liquid particles in a gas - limit our vision. Even on the clearest day, there are billions of <span class="hlt">aerosol</span> particles per cubic meter of air.Atmospheric <span class="hlt">aerosols</span> are commonly referred to as smoke, dust, haze, and smog, terms that are loosely reflective of their origin and composition. <span class="hlt">Aerosol</span> particles have arisen naturally for eons from sea spray, volcanic emissions, wind entrainment of mineral dust, wildfires, and gas-to-particle conversion of hydrocarbons from plants and dimethylsulfide from the oceans. However, over the industrial period, the natural background <span class="hlt">aerosol</span> has been greatly augmented by anthropogenic contributions, i.e., those produced by human activities. One manifestation of this impact is reduced visibility (Figure 1). Thus, perhaps more than in other realms of geochemistry, when considering the composition of the troposphere one must consider the effects of these activities. The atmosphere has become a reservoir for vast quantities of anthropogenic emissions that exert important perturbations on it and on the planetary ecosystem in general. Consequently, much recent research focuses on the effects of human activities on the atmosphere and, through them, on the environment and Earth's climate. For these reasons consideration of the geochemistry of the atmosphere, and of atmospheric <span class="hlt">aerosols</span> in particular, must include the effects of human activities. (201K)Figure 1. Impairment of visibility by <span class="hlt">aerosols</span>. Photographs at Yosemite National Park, California, USA. (a) Low <span class="hlt">aerosol</span> concentration (particulate matter of aerodynamic diameter less than 2.5 μm, PM2.5=0.3 μg m-3; particulate matter of aerodynamic diameter less than 10 </p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://ntrs.nasa.gov/search.jsp?R=19930068398&hterms=Israel+humanity&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D10%26Ntt%3DIsrael%2Bhumanity','NASA-TRS'); return false;" href="https://ntrs.nasa.gov/search.jsp?R=19930068398&hterms=Israel+humanity&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D10%26Ntt%3DIsrael%2Bhumanity"><span>Secondary processing of chondrules and refractory inclusions (<span class="hlt">CAIs</span>) by gasdynamic heating</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Podolak, M.; Prialnik, D.; Bunch, T. E.; Cassen, P.; Reynolds, R.</p> <p>1993-01-01</p> <p>Results of calculations performed to determine the conditions necessary for producing the opaque rims on chondrules and <span class="hlt">CAI</span> rims by high-speed entry into the transient atmosphere of an accreting meteorite parent body are presented. The sensitivity of these results to variations in critical parameters is investigated. The range of entry velocities which can produce such rims is shown to depend on the size, melting temperature, and thermal conductivity of the particles. For particles greater than 2 mm in radius, with thermal conductivities of 20,000 ergs/sm s K or lower, entry velocities of about 3 km/s suffice. For particle sizes less than 1 mm in radius, the range of encounter velocities that can produce rims is narrow or vanishing, regardless of the thermal conductivity, unless the melting temperature in the outer part of the chondrule has been reduced by compositional heterogeneity.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://ntrs.nasa.gov/search.jsp?R=20030112095&hterms=dutch&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D50%26Ntt%3Ddutch','NASA-TRS'); return false;" href="https://ntrs.nasa.gov/search.jsp?R=20030112095&hterms=dutch&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D50%26Ntt%3Ddutch"><span>Measuring <span class="hlt">Aerosol</span> Optical Properties with the Ozone Monitoring Instrument (OMI)</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Veefkind, J. P.; Torres, O.; Syniuk, A.; Decae, R.; deLeeuw, G.</p> <p>2003-01-01</p> <p>The Ozone Monitoring Instrument (OMI) is the Dutch-Finnish contribution to the NASA EOS-Aura mission scheduled for launch in January 2004. OM1 is an <span class="hlt">imaging</span> spectrometer that will measure the back-scattered Solar radiance between 270 an 500 nm. With its relatively high spatial resolution (13x24 sq km at nadir) and daily global coverage. OM1 will make a major contribution to our understanding of atmospheric chemistry and to climate research. OM1 will provide data continuity with the TOMS instruments. One of the pleasant surprises of the TOMS data record was its information on <span class="hlt">aerosol</span> properties. First, only the absorbing <span class="hlt">aerosol</span> index, which is sensitive to elevated lay- ers of <span class="hlt">aerosols</span> such as desert dust and smoke <span class="hlt">aerosols</span>, was derived. Recently these methods were further improved to yield <span class="hlt">aerosol</span> optical thickness and single scattering albedo over land and ocean for 19 years of TOMS data (1979-1992,1997-2002), making it one of the longest and most valuable time series for <span class="hlt">aerosols</span> presently available. Such long time series are essential to quantify the effect of <span class="hlt">aerosols</span> on the Earth& climate. The OM1 instrument is better suited to measure <span class="hlt">aerosols</span> than the TOMS instruments because of the smaller footprint, and better spectral coverage. The better capabilities of OMI will enable us to provide an improved <span class="hlt">aerosol</span> product, but the knowledge will also be used for further analysis of the <span class="hlt">aerosol</span> record from TOMS. The OM1 <span class="hlt">aerosol</span> product that is currently being developed for OM1 combines the TOMS experience and the multi-spectral techniques that are used in the visible and near infrared. The challenge for this new product is to provide <span class="hlt">aerosol</span> optical thickness and single scattering albedo from the near ultraviolet to the visible (330-500 nm) over land and ocean. In this presentation the methods for deriving the OM1 <span class="hlt">aerosol</span> product will be presented. Part of these methods developed for OM1 can already be applied to TOMS data and results of such analysis will be shown.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2014AcSpe..92...51O','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2014AcSpe..92...51O"><span>Effect of operation conditions of the drop-on-demand <span class="hlt">aerosol</span> generator on <span class="hlt">aerosol</span> characteristics: Pseudo-cinematographic and plasma mass spectrometric studies</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Orlandini v. Niessen, Jan O.; Krone, Karin M.; Bings, Nicolas H.</p> <p>2014-02-01</p> <p>The recently presented drop-on-demand (DOD) <span class="hlt">aerosol</span> generator overcomes some of the drawbacks of pneumatic nebulization, as its <span class="hlt">aerosol</span> is no longer generated by gas-liquid interaction. In the current study, an advanced <span class="hlt">imaging</span> technique is presented, based on a CCD camera equipped with magnifying telecentric optics to allow for fast, automated and precise <span class="hlt">aerosol</span> characterization as well as fundamental studies on the droplet generation processes by means of pseudo-cinematography. The DOD <span class="hlt">aerosol</span> generator is thoroughly characterized regarding its droplet size distribution, which shows few distinct populations rather than a continuous distribution. Other important figures, such as the Sauter diameter (D3,2) of 22 μm and the span of 0.4 were also determined. Additionally, the influence of the electrical operation conditions of the dosing device on the <span class="hlt">aerosol</span> generation process is described. The number and volume of the generated droplets were found to be very reproducible and user-variable, e.g. from 17 to 27 μm (D3,2), within a span of 0.07-0.89. The performances of different setups of the DOD as liquid sample introduction system in ICP-MS are correlated to the respective achievable <span class="hlt">aerosol</span> characteristics and are also compared to the performance of a state-of-the-art μ-flow nebulizer (EnyaMist). The DOD system allowed for improved sensitivity, but slightly elevated signal noise and overall comparable limits of detection. The results are critically discussed and future directions are outlined.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2011ACPD...1114991M','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2011ACPD...1114991M"><span>Black carbon <span class="hlt">aerosol</span> mixing state, organic <span class="hlt">aerosols</span> and <span class="hlt">aerosol</span> optical properties over the UK</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>McMeeking, G. R.; Morgan, W. T.; Flynn, M.; Highwood, E. J.; Turnbull, K.; Haywood, J.; Coe, H.</p> <p>2011-05-01</p> <p>Black carbon (BC) <span class="hlt">aerosols</span> absorb sunlight thereby leading to a positive radiative forcing and a warming of climate and can also impact human health through their impact on the respiratory system. The state of mixing of BC with other <span class="hlt">aerosol</span> species, particularly the degree of internal/external mixing, has been highlighted as a major uncertainty in assessing its radiative forcing and hence its climate impact, but few in situ observations of mixing state exist. We present airborne single particle soot photometer (SP2) measurements of refractory BC (rBC) mass concentrations and mixing state coupled with <span class="hlt">aerosol</span> composition and optical properties measured in urban plumes and regional pollution over the UK. All data were obtained using instrumentation flown on the UK's BAe-146-301 large Atmospheric Research Aircraft (ARA) operated by the Facility for Airborne Atmospheric Measurements (FAAM). We measured sub-micron <span class="hlt">aerosol</span> composition using an <span class="hlt">aerosol</span> mass spectrometer (AMS) and used positive matrix factorization to separate hydrocarbon-like (HOA) and oxygenated organic <span class="hlt">aerosols</span> (OOA). We found a higher number fraction of thickly coated rBC particles in air masses with large OOA relative to HOA, higher ozone-to-nitrogen oxides (NOx) ratios and large concentrations of total sub-micron <span class="hlt">aerosol</span> mass relative to rBC mass concentrations. The more ozone- and OOA-rich air masses were associated with transport from continental Europe, while plumes from UK cities had higher HOA and NOx and fewer thickly coated rBC particles. We did not observe any significant change in the rBC mass absorption efficiency calculated from rBC mass and light absorption coefficients measured by a particle soot absorption photometer despite observing significant changes in <span class="hlt">aerosol</span> composition and rBC mixing state. The contributions of light scattering and absorption to total extinction (quantified by the single scattering albedo; SSA) did change for different air masses, with lower SSA observed in</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2016EGUGA..1812228M','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2016EGUGA..1812228M"><span>Optical properties of <span class="hlt">aerosol</span> contaminated cloud derived from MODIS instrument</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Mei, Linlu; Rozanov, Vladimir; Lelli, Luca; Vountas, Marco; Burrows, John P.</p> <p>2016-04-01</p> <p>The presence of absorbing <span class="hlt">aerosols</span> above/within cloud can reduce the amount of up-welling radiation in visible (VIS) and short-wave infrared and darken the spectral reflectance when compared with a spectrum of a clean cloud observed by satellite instruments (Jethva et al., 2013). Cloud properties retrieval for <span class="hlt">aerosol</span> contaminated cases is a great challenge. Even small additional injection of <span class="hlt">aerosol</span> particles into clouds in the cleanest regions of Earth's atmosphere will cause significant effect on those clouds and on climate forcing (Koren et al., 2014; Rosenfeld et al., 2014) because the micro-physical cloud process are non-linear with respect to the <span class="hlt">aerosol</span> loading. The current cloud products like Moderate Resolution <span class="hlt">Imaging</span> Spectroradiometer (MODIS) ignoring the <span class="hlt">aerosol</span> effect for the retrieval, which may cause significant error in the satellite-derived cloud properties. In this paper, a new cloud properties retrieval method, considering <span class="hlt">aerosol</span> effect, based on the weighting-function (WF) method, is presented. The retrieval results shows that the WF retrieved cloud properties (e.g COT) agrees quite well with MODIS COT product for relative clear atmosphere (AOT ≤ 0.4) while there is a large difference for large <span class="hlt">aerosol</span> loading. The MODIS COT product is underestimated for at least 2 - 3 times for AOT>0.4, and this underestimation increases with the increase of AOT.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://eric.ed.gov/?q=Raise+AND+iq&pg=4&id=ED283870','ERIC'); return false;" href="https://eric.ed.gov/?q=Raise+AND+iq&pg=4&id=ED283870"><span>An Empirical Assessment of Selected Software Purported to Raise SAT Scores Significantly When Utilized With Short-Term <span class="hlt">CAI</span> on the Microcomputer.</span></a></p> <p><a target="_blank" href="http://www.eric.ed.gov/ERICWebPortal/search/extended.jsp?_pageLabel=advanced">ERIC Educational Resources Information Center</a></p> <p>Davis, Wesley D.</p> <p></p> <p>This study evaluated Krell's 1981-82 Scholastic Aptitude Test (SAT) preparatory series software purported to raise students' scores substantially after only a short term of computer-assisted instruction (<span class="hlt">CAI</span>). Forty-eight college-bound juniors from Escambia County (Florida) were assigned to experimental and control groups. A two-phased pre- and…</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.pubmedcentral.nih.gov/articlerender.fcgi?tool=pmcentrez&artid=238721','PMC'); return false;" href="https://www.pubmedcentral.nih.gov/articlerender.fcgi?tool=pmcentrez&artid=238721"><span>Method for detecting viruses in <span class="hlt">aerosols</span>.</span></a></p> <p><a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pmc">PubMed Central</a></p> <p>Wallis, C; Melnick, J L; Rao, V C; Sox, T E</p> <p>1985-01-01</p> <p>A simple method with poliovirus as the model was developed for recovering human enteric viruses from <span class="hlt">aerosols</span>. Filterite filters (pore size, 0.45 micron; Filterite Corp., Timonium, Md.) moistened with glycine buffer (pH 3.5) were used for adsorbing the <span class="hlt">aerosolized</span> virus. No virus passed the filter, even with air flow rates of 100 liters/min. Virus recovery from the filter was achieved by rapid elution with 800 ml of glycine buffer, pH 10. The virus in the primary eluate was reconcentrated by adjusting the pH to 3.5, adding AlCl3 to 0.0005 M, collecting the virus on a 0.25-micron-pore Filerite disk (diameter, 25 mm) and and eluting with 6 ml of buffer, pH 10. With this method, virus could be detected regularly in <span class="hlt">aerosols</span> produced by flushing when 3 X 10(8) PFU of poliovirus were present in the toilet bowl. Poliovirus-containing fecal material from two of four infants who had recently received oral polio vaccine also yielded virus in the <span class="hlt">aerosols</span> when feces containing 2.4 X 10(7) to 4.5 X 10(7) PFU of virus had been added to the toilet bowl. Persons infected with a variety of natural enteric viruses are known to excrete this amount of virus in their daily stools. <span class="hlt">Images</span> PMID:3004329</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.pubmedcentral.nih.gov/articlerender.fcgi?tool=pmcentrez&artid=225291','PMC'); return false;" href="https://www.pubmedcentral.nih.gov/articlerender.fcgi?tool=pmcentrez&artid=225291"><span>MEDLEARN: a computer-assisted instruction (<span class="hlt">CAI</span>) program for MEDLARS.</span></a></p> <p><a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pmc">PubMed Central</a></p> <p>Eisenberg, L J; Standing, R A; Tidball, C S; Leiter, J</p> <p>1978-01-01</p> <p>*MEDLEARN*, a second-generation computer-assisted instruction (<span class="hlt">CAI</span>) program available (nationally) since October 1976, provides on-line training for MEDLINE, one of the National Library of Medicine's (NLM) Medical Literature Analysis and Retrieval System (MEDLARS) data base. *MEDLEARN* was developed as a joint effort between NLM and The George Washington University Medical Center. Using MEDLINE formats throughout, *MEDLEARN* combines tutorial dialogue, drill and practice, testing, and simulation. The program was designed in three tracks oriented to basic methods, advanced techniques, and new developments. Each topic is presented on two levels, permitting an alternate explanation for users encountering difficulty. *MEDLEARN*, coded in the computer language PILOT, was developed with a modular structure which promotes ease of writing and revision. A versatile control structure maximizes student control. Frequent interactions check immediate recall, general comprehension, and integration of knowledge. Two MEDLINE simulations are included, providing the student an opportunity to formulate and execute a search, have it evaluated, and then perform the search in MEDLINE. Commenting, news broadcasting, and monitoring (with permission only) capabilities are also available. Subjective field appraisals have been positive and NLM plans to expand *MEDLEARN* and produce similar programs for other data bases. PMID:342015</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.ncbi.nlm.nih.gov/pubmed/22442935','PUBMED'); return false;" href="https://www.ncbi.nlm.nih.gov/pubmed/22442935"><span>An inexpensive active optical remote sensing instrument for assessing <span class="hlt">aerosol</span> distributions.</span></a></p> <p><a target="_blank" href="https://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pubmed">PubMed</a></p> <p>Barnes, John E; Sharma, Nimmi C P</p> <p>2012-02-01</p> <p>Air quality studies on a broad variety of topics from health impacts to source/sink analyses, require information on the distributions of atmospheric <span class="hlt">aerosols</span> over both altitude and time. An inexpensive, simple to implement, ground-based optical remote sensing technique has been developed to assess <span class="hlt">aerosol</span> distributions. The technique, called CLidar (Charge Coupled Device Camera Light Detection and Ranging), provides <span class="hlt">aerosol</span> altitude profiles over time. In the CLidar technique a relatively low-power laser transmits light vertically into the atmosphere. The transmitted laser light scatters off of air molecules, clouds, and <span class="hlt">aerosols</span>. The entire beam from ground to zenith is <span class="hlt">imaged</span> using a CCD camera and wide-angle (100 degree) optics which are a few hundred meters from the laser. The CLidar technique is optimized for low altitude (boundary layer and lower troposphere) measurements where most <span class="hlt">aerosols</span> are found and where many other profiling techniques face difficulties. Currently the technique is limited to nighttime measurements. Using the CLidar technique <span class="hlt">aerosols</span> may be mapped over both altitude and time. The instrumentation required is portable and can easily be moved to locations of interest (e.g. downwind from factories or power plants, near highways). This paper describes the CLidar technique, implementation and data analysis and offers specifics for users wishing to apply the technique for <span class="hlt">aerosol</span> profiles.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2014AGUFM.A12A..07M','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2014AGUFM.A12A..07M"><span>An <span class="hlt">imager</span>-based multispectral retrieval of above-cloud absorbing <span class="hlt">aerosol</span> optical depth and the optical and microphysical properties of underlying marine stratocumulus clouds</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Meyer, K.; Platnick, S. E.; Zhang, Z.</p> <p>2014-12-01</p> <p>Clouds, <span class="hlt">aerosols</span>, and their interactions are widely considered to be key uncertainty components in our current understanding of the Earth's atmosphere and radiation budget. The work presented here is focused on the quasi-permanent marine boundary layer (MBL) clouds over the southeastern Atlantic Ocean, which underlie a near-persistent smoke layer produced from extensive biomass burning throughout the southern African savanna during austral winter. The absorption of the above-cloud smoke layer, which increases with decreasing wavelength, can introduce biases into <span class="hlt">imager</span>-based cloud optical and microphysical property retrievals of the underlying MBL clouds. This effect is more pronounced for cloud optical thickness retrievals, which are typically derived from the visible or near-IR wavelength channels (effective particle size retrievals are derived from short and mid-wave IR channels that are less affected by <span class="hlt">aerosol</span> absorption). Here, a new method is introduced to simultaneously retrieve the above-cloud smoke <span class="hlt">aerosol</span> optical depth (AOD) and the unbiased cloud optical thickness (COT) and effective radius (CER) using multiple spectral channels in the visible and near- and shortwave-IR. The technique has been applied to MODIS, and retrieval results and statistics, as well as comparisons with other A-Train sensors, are shown.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2015AGUFM.A24D..05K','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2015AGUFM.A24D..05K"><span>The MAC <span class="hlt">aerosol</span> climatology</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Kinne, S.</p> <p>2015-12-01</p> <p><span class="hlt">Aerosol</span> is highly diverse in space and time. And many different <span class="hlt">aerosol</span> optical properties are needed (consistent to each other) for the determination of radiative effects. To sidestep a complex (and uncertain) <span class="hlt">aerosol</span> treatment (emission to mass to optics) a monthly gridded climatology for <span class="hlt">aerosol</span> properties has been developed. This MPI <span class="hlt">Aerosol</span> Climatology (MAC) is strongly tied to observational statistics for <span class="hlt">aerosol</span> column optical properties by AERONET (over land) and by MAN (over oceans). To fill spatial gaps, to address decadal change and to address vertical variability, these sparsely distributed local data are extended with central data of an ensemble of output from global models with complex <span class="hlt">aerosol</span> modules. This data merging in performed for <span class="hlt">aerosol</span> column amount (AOD), for <span class="hlt">aerosol</span> size (AOD,fine) and for <span class="hlt">aerosol</span> absorption (AAOD). The resulting MAC <span class="hlt">aerosol</span> climatology is an example for the combination of high quality local observations with spatial, temporal and vertical context from model simulations.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20010017159','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20010017159"><span>How Well Will MODIS Measure Top of Atmosphere <span class="hlt">Aerosol</span> Direct Radiative Forcing?</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Remer, Lorraine A.; Kaufman, Yoram J.; Levin, Zev; Ghan, Stephen; Einaudi, Franco (Technical Monitor)</p> <p>2000-01-01</p> <p>The new generation of satellite sensors such as the Moderate Resolution <span class="hlt">Imaging</span> Spectroradiometer (MODIS) will be able to detect and characterize global <span class="hlt">aerosols</span> with an unprecedented accuracy. The question remains whether this accuracy will be sufficient to narrow the uncertainties in our estimates of <span class="hlt">aerosol</span> radiative forcing at the top of the atmosphere. Satellite remote sensing detects <span class="hlt">aerosol</span> optical thickness with the least amount of relative error when <span class="hlt">aerosol</span> loading is high. Satellites are less effective when <span class="hlt">aerosol</span> loading is low. We use the monthly mean results of two global <span class="hlt">aerosol</span> transport models to simulate the spatial distribution of smoke <span class="hlt">aerosol</span> in the Southern Hemisphere during the tropical biomass burning season. This spatial distribution allows us to determine that 87-94% of the smoke <span class="hlt">aerosol</span> forcing at the top of the atmosphere occurs in grid squares with sufficient signal to noise ratio to be detectable from space. The uncertainty of quantifying the smoke <span class="hlt">aerosol</span> forcing in the Southern Hemisphere depends on the uncertainty introduced by errors in estimating the background <span class="hlt">aerosol</span>, errors resulting from uncertainties in surface properties and errors resulting from uncertainties in assumptions of <span class="hlt">aerosol</span> properties. These three errors combine to give overall uncertainties of 1.5 to 2.2 Wm-2 (21-56%) in determining the Southern Hemisphere smoke <span class="hlt">aerosol</span> forcing at the top of the atmosphere. The range of values depend on which estimate of MODIS retrieval uncertainty is used, either the theoretical calculation (upper bound) or the empirical estimate (lower bound). Strategies that use the satellite data to derive flux directly or use the data in conjunction with ground-based remote sensing and <span class="hlt">aerosol</span> transport models can reduce these uncertainties.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://ntrs.nasa.gov/search.jsp?R=20010089249&hterms=causes+absorption+window&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D10%26Ntt%3DWhat%2Bcauses%2Babsorption%2Bwindow','NASA-TRS'); return false;" href="https://ntrs.nasa.gov/search.jsp?R=20010089249&hterms=causes+absorption+window&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D10%26Ntt%3DWhat%2Bcauses%2Babsorption%2Bwindow"><span>Remote Sensing of <span class="hlt">Aerosol</span> and Non-<span class="hlt">Aerosol</span> Absorption</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Kaufman, Y. J.; Dubovik, O.; Holben, B. N.; Remer, L. A.; Tanre, D.; Lau, William K. M. (Technical Monitor)</p> <p>2001-01-01</p> <p>Remote sensing of <span class="hlt">aerosol</span> from the new satellite instruments (e.g. MODIS from Terra) and ground based radiometers (e.g. the AERONET) provides the opportunity to measure the absorption characteristics of the ambient undisturbed <span class="hlt">aerosol</span> in the entire atmospheric column. For example Landsat and AERONET data are used to measure spectral absorption of sunlight by dust from West Africa. Both Application of the Landsat and AERONET data demonstrate that Saharan dust absorption of solar radiation is several times smaller than the current international standards. This is due to difficulties of measuring dust absorption in situ, and due to the often contamination of dust properties by the presence of air pollution or smoke. We use the remotely sensed <span class="hlt">aerosol</span> absorption properties described by the spectral sin le scattering albedo, together with statistics of the monthly optical thickness for the fine and coarse <span class="hlt">aerosol</span> derived from the MODIS data. The result is an estimate of the flux of solar radiation absorbed by the <span class="hlt">aerosol</span> layer in different regions around the globe where <span class="hlt">aerosol</span> is prevalent. If this <span class="hlt">aerosol</span> forcing through absorption is not included in global circulation models, it may be interpreted as anomalous absorption in these regions. In a preliminary exercise we also use the absorption measurements by AERONET, to derive the non-<span class="hlt">aerosol</span> absorption of the atmosphere in cloud free conditions. The results are obtained for the atmospheric windows: 0.44 microns, 0.66 microns, 0.86 microns and 1.05 microns. In all the locations over the land and ocean that were tested no anomalous absorption in these wavelengths, was found within absorption optical thickness of +/- 0.005.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://ntrs.nasa.gov/search.jsp?R=20040171524&hterms=biomass&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D90%26Ntt%3Dbiomass','NASA-TRS'); return false;" href="https://ntrs.nasa.gov/search.jsp?R=20040171524&hterms=biomass&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D90%26Ntt%3Dbiomass"><span>3D Cloud Radiative Effects on <span class="hlt">Aerosol</span> Optical Thickness Retrievals in Cumulus Cloud Fields in the Biomass Burning Region in Brazil</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Wen, Guo-Yong; Marshak, Alexander; Cahalan, Robert F.</p> <p>2004-01-01</p> <p><span class="hlt">Aerosol</span> amount in clear regions of a cloudy atmosphere is a critical parameter in studying the interaction between <span class="hlt">aerosols</span> and clouds. Since the global cloud cover is about 50%, cloudy scenes are often encountered in any satellite <span class="hlt">images</span>. <span class="hlt">Aerosols</span> are more or less transparent, while clouds are extremely reflective in the visible spectrum of solar radiation. The radiative transfer in clear-cloudy condition is highly three- dimensional (3D). This paper focuses on estimating the 3D effects on <span class="hlt">aerosol</span> optical thickness retrievals using Monte Carlo simulations. An ASTER <span class="hlt">image</span> of cumulus cloud fields in the biomass burning region in Brazil is simulated in this study. The MODIS products (i-e., cloud optical thickness, particle effective radius, cloud top pressure, surface reflectance, etc.) are used to construct the cloud property and surface reflectance fields. To estimate the cloud 3-D effects, we assume a plane-parallel stratification of <span class="hlt">aerosol</span> properties in the 60 km x 60 km ASTER <span class="hlt">image</span>. The simulated solar radiation at the top of the atmosphere is compared with plane-parallel calculations. Furthermore, the 3D cloud radiative effects on <span class="hlt">aerosol</span> optical thickness retrieval are estimated.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.pubmedcentral.nih.gov/articlerender.fcgi?tool=pmcentrez&artid=4114406','PMC'); return false;" href="https://www.pubmedcentral.nih.gov/articlerender.fcgi?tool=pmcentrez&artid=4114406"><span>A Multi-Year <span class="hlt">Aerosol</span> Characterization for the Greater Tehran Area Using Satellite, Surface, and Modeling Data</span></a></p> <p><a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pmc">PubMed Central</a></p> <p>Crosbie, Ewan; Sorooshian, Armin; Monfared, Negar Abolhassani; Shingler, Taylor; Esmaili, Omid</p> <p>2014-01-01</p> <p>This study reports a multi-year (2000–2009) <span class="hlt">aerosol</span> characterization for metropolitan Tehran and surrounding areas using multiple datasets (Moderate Resolution <span class="hlt">Imaging</span> Spectroradiometer (MODIS), Multi-angle <span class="hlt">Imaging</span> Spectroradiometer (MISR), Total Ozone Mapping Spectrometer (TOMS), Goddard Ozone Chemistry <span class="hlt">Aerosol</span> Radiation and Transport (GOCART), and surface and upper air data from local stations). Monthly trends in <span class="hlt">aerosol</span> characteristics are examined in the context of the local meteorology, regional and local emission sources, and air mass back-trajectory data. Dust strongly affects the region during the late spring and summer months (May–August) when <span class="hlt">aerosol</span> optical depth (AOD) is at its peak and precipitation accumulation is at a minimum. In addition, the peak AOD that occurs in July is further enhanced by a substantial number of seasonal wildfires in upwind regions. Conversely, AOD is at a minimum during winter; however, reduced mixing heights and a stagnant lower atmosphere trap local <span class="hlt">aerosol</span> emissions near the surface and lead to significant reductions in visibility within Tehran. The unique meteorology and topographic setting makes wintertime visibility and surface <span class="hlt">aerosol</span> concentrations particularly sensitive to local anthropogenic sources and is evident in the noteworthy improvement in visibility observed on weekends. Scavenging of <span class="hlt">aerosol</span> due to precipitation is evident during the winter when aconsistent increase in surface visibility and concurrent decrease in AOD is observed in the days after rain compared with the days immediately before rain. PMID:25083295</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2015EGUGA..1714619S','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2015EGUGA..1714619S"><span>Spatial and Temporal Monitoring of <span class="hlt">Aerosol</span> over Selected Urban Areas in Egypt</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Shokr, Mohammed; El-Tahan, Mohammed; Ibrahim, Alaa</p> <p>2015-04-01</p> <p>We utilize remote sensing data of atmospheric <span class="hlt">aerosols</span> from the Moderate Resolution <span class="hlt">Imaging</span> Spectroradiometer (MODIS) aboard the Terra and Aqua satellites to explore spatio-temporal patterns over selected urban sites in Egypt during 2000-2015. High resolution (10 x 10 km^2) Level 2, collection 5, quality-controlled product was used. The selected sites are characterized by different human and industrial activities as well as landscape and meteorological attributes. These have impacts on the dominant types and intensity of <span class="hlt">aerosols</span>. <span class="hlt">Aerosol</span> robotic network (AERONET) data were used to validate the calculations from MODIS. The suitability of the MODIS product in terms of spatial and temporal coverage as well as accuracy and robustness has been established. Seasonal patterns of <span class="hlt">aerosol</span> concentration are identified and compared between the sites. Spatial gradient of <span class="hlt">aerosol</span> is assessed in the vicinity of major <span class="hlt">aerosol</span>-emission sites (e.g. Cairo) to determine the range of influence of the generated pollution. Peak <span class="hlt">aerosol</span> concentrations are explained in terms of meteorological events and land cover. The limited trends found in the temporal records of the <span class="hlt">aerosol</span> measurements will be confirmed using calibrated long-term ground observations. The study has been conducted under the PEER 2-239 research project titled "The Impact of Biogenic and Anthropogenic Atmospheric <span class="hlt">Aerosols</span> to Climate in Egypt". Project website is CleanAirEgypt.org</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2014EGUGA..16.2001K','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2014EGUGA..16.2001K"><span>Constraints on Global <span class="hlt">Aerosol</span> Types: Past, Present, and Near-Future</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Kahn, Ralph</p> <p>2014-05-01</p> <p>Although the recent IPCC fifth assessment report (AR5) suggests that confidence in estimated direct <span class="hlt">aerosol</span> radiative forcing (DARF) is high, indications are that there is little agreement among current climate models about the global distribution of <span class="hlt">aerosol</span> single-scattering albedo (SSA). SSA must be associated with specific surface albedo and <span class="hlt">aerosol</span> optical depth (AOD) values to calculate DARF with confidence, and global-scale constraints on <span class="hlt">aerosol</span> type, including SSA, are poor at present. Yet, some constraints on <span class="hlt">aerosol</span> type have been demonstrated for several satellite instruments, including the NASA Earth Observing System's Multi-angle <span class="hlt">Imaging</span> SpectroRadiometer (MISR). The time-series of approximately once-weekly, global MISR observations has grown to about 14 years. The MISR capability amounts to three-to-five bins in particle size, two-to-four bins in SSA, and spherical vs. non-spherical particle distinctions, under good retrieval conditions. As the record of coincident, suborbital validation data has increased steadily, it has become progressively more feasible to assess and to improve the operational algorithm constraints on <span class="hlt">aerosol</span> type. This presentation will discuss planned refinements to the MISR operational algorithm, and will highlight recent efforts at using MISR results to help better represent wildfire smoke, volcanic ash, and urban pollution in climate models.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.osti.gov/pages/biblio/15003527-impact-aerosol-size-representation-modeling-aerosol-cloud-interactions','SCIGOV-DOEP'); return false;" href="https://www.osti.gov/pages/biblio/15003527-impact-aerosol-size-representation-modeling-aerosol-cloud-interactions"><span>Impact of <span class="hlt">aerosol</span> size representation on modeling <span class="hlt">aerosol</span>-cloud interactions</span></a></p> <p><a target="_blank" href="http://www.osti.gov/pages">DOE PAGES</a></p> <p>Zhang, Y.; Easter, R. C.; Ghan, S. J.; ...</p> <p>2002-11-07</p> <p>In this study, we use a 1-D version of a climate-<span class="hlt">aerosol</span>-chemistry model with both modal and sectional <span class="hlt">aerosol</span> size representations to evaluate the impact of <span class="hlt">aerosol</span> size representation on modeling <span class="hlt">aerosol</span>-cloud interactions in shallow stratiform clouds observed during the 2nd <span class="hlt">Aerosol</span> Characterization Experiment. Both the modal (with prognostic <span class="hlt">aerosol</span> number and mass or prognostic <span class="hlt">aerosol</span> number, surface area and mass, referred to as the Modal-NM and Modal-NSM) and the sectional approaches (with 12 and 36 sections) predict total number and mass for interstitial and activated particles that are generally within several percent of references from a high resolution 108-section approach.more » The modal approach with prognostic <span class="hlt">aerosol</span> mass but diagnostic number (referred to as the Modal-M) cannot accurately predict the total particle number and surface areas, with deviations from the references ranging from 7-161%. The particle size distributions are sensitive to size representations, with normalized absolute differences of up to 12% and 37% for the 36- and 12-section approaches, and 30%, 39%, and 179% for the Modal-NSM, Modal-NM, and Modal-M, respectively. For the Modal-NSM and Modal-NM, differences from the references are primarily due to the inherent assumptions and limitations of the modal approach. In particular, they cannot resolve the abrupt size transition between the interstitial and activated <span class="hlt">aerosol</span> fractions. For the 12- and 36-section approaches, differences are largely due to limitations of the parameterized activation for non-log-normal size distributions, plus the coarse resolution for the 12-section case. Differences are larger both with higher <span class="hlt">aerosol</span> (i.e., less complete activation) and higher SO2 concentrations (i.e., greater modification of the initial <span class="hlt">aerosol</span> distribution).« less</p> </li> </ol> <div class="pull-right"> <ul class="pagination"> <li><a href="#" onclick='return showDiv("page_1");'>«</a></li> <li><a href="#" onclick='return showDiv("page_18");'>18</a></li> <li><a href="#" onclick='return showDiv("page_19");'>19</a></li> <li class="active"><span>20</span></li> <li><a href="#" onclick='return showDiv("page_21");'>21</a></li> <li><a href="#" onclick='return showDiv("page_22");'>22</a></li> <li><a href="#" onclick='return showDiv("page_25");'>»</a></li> </ul> </div> </div><!-- col-sm-12 --> </div><!-- row --> </div><!-- page_20 --> <div id="page_21" class="hiddenDiv"> <div class="row"> <div class="col-sm-12"> <div class="pull-right"> <ul class="pagination"> <li><a href="#" onclick='return showDiv("page_1");'>«</a></li> <li><a href="#" onclick='return showDiv("page_19");'>19</a></li> <li><a href="#" onclick='return showDiv("page_20");'>20</a></li> <li class="active"><span>21</span></li> <li><a href="#" onclick='return showDiv("page_22");'>22</a></li> <li><a href="#" onclick='return showDiv("page_23");'>23</a></li> <li><a href="#" onclick='return showDiv("page_25");'>»</a></li> </ul> </div> </div> </div> <div class="row"> <div class="col-sm-12"> <ol class="result-class" start="401"> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.ncbi.nlm.nih.gov/pubmed/28899377','PUBMED'); return false;" href="https://www.ncbi.nlm.nih.gov/pubmed/28899377"><span>Quantitative magnetic resonance <span class="hlt">imaging</span> (MRI) analysis of anterior talofibular ligament in lateral chronic ankle instability ankles pre- and postoperatively.</span></a></p> <p><a target="_blank" href="https://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pubmed">PubMed</a></p> <p>Liu, Wei; Li, Hong; Hua, Yinghui</p> <p>2017-09-12</p> <p>The aim of this study was to quantitatively evaluate and characterize the dimension and signal intensity of anterior talofibular ligament (ATFL) using 3.0 T MRI in the mechanical ankle instability group pre- and postoperatively. A total of 97 participants were recruited retrospectively in this study, including 56 with mechanical chronic ankle instability (<span class="hlt">CAI</span> group) and 41 without ankle instability (Control group). All the subjects accepted MRI preoperatively. Among the 56 <span class="hlt">CAI</span> patients, 25 patients, who accepted modified Broström repair of ATFL, underwent a MRI scan at follow-up. The ATFL dimension (length and width) and signal/noise ratio (SNR) were measured based on MRI <span class="hlt">images</span>. The results of the MRI studies were then compared between groups. The <span class="hlt">CAI</span> group had a significantly higher ATFL length (p = 0.03) or ATFL width (p < 0.001) compared with the control group. The mean SNR value of the <span class="hlt">CAI</span> group was significantly higher than that of the control group (p = 0.006). Furthermore, the mean SNR value of the ATFL after repair surgery (8.4 ± 2.4) was significantly lower than that of the ATFL before surgery (11.2 ± 3.4) (p < 0.001). However, no significant change of ATFL length or ATFL width were observed after repair surgery. <span class="hlt">CAI</span> ankles had a higher ATFL length or width as well as higher signal intensity compared with stable ankles. After repair surgery, the mean SNR value of the ATFL decreased, indicating the relaxed ATFL becomes tight postoperatively.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2015AMTD....8.9565C','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2015AMTD....8.9565C"><span>GOCI Yonsei <span class="hlt">Aerosol</span> Retrieval (YAER) algorithm and validation during DRAGON-NE Asia 2012 campaign</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Choi, M.; Kim, J.; Lee, J.; Kim, M.; Park, Y. Je; Jeong, U.; Kim, W.; Holben, B.; Eck, T. F.; Lim, J. H.; Song, C. K.</p> <p>2015-09-01</p> <p>The Geostationary Ocean Color <span class="hlt">Imager</span> (GOCI) onboard the Communication, Ocean, and Meteorology Satellites (COMS) is the first multi-channel ocean color <span class="hlt">imager</span> in geostationary orbit. Hourly GOCI top-of-atmosphere radiance has been available for the retrieval of <span class="hlt">aerosol</span> optical properties over East Asia since March 2011. This study presents improvements to the GOCI Yonsei <span class="hlt">Aerosol</span> Retrieval (YAER) algorithm over ocean and land together with validation results during the DRAGON-NE Asia 2012 campaign. Optical properties of <span class="hlt">aerosol</span> are retrieved from the GOCI YAER algorithm including <span class="hlt">aerosol</span> optical depth (AOD) at 550 nm, fine-mode fraction (FMF) at 550 nm, single scattering albedo (SSA) at 440 nm, Angstrom exponent (AE) between 440 and 860 nm, and <span class="hlt">aerosol</span> type from selected <span class="hlt">aerosol</span> models in calculating AOD. Assumed <span class="hlt">aerosol</span> models are compiled from global <span class="hlt">Aerosol</span> Robotic Networks (AERONET) inversion data, and categorized according to AOD, FMF, and SSA. Nonsphericity is considered, and unified <span class="hlt">aerosol</span> models are used over land and ocean. Different assumptions for surface reflectance are applied over ocean and land. Surface reflectance over the ocean varies with geometry and wind speed, while surface reflectance over land is obtained from the 1-3 % darkest pixels in a 6 km × 6 km area during 30 days. In the East China Sea and Yellow Sea, significant area is covered persistently by turbid waters, for which the land algorithm is used for <span class="hlt">aerosol</span> retrieval. To detect turbid water pixels, TOA reflectance difference at 660 nm is used. GOCI YAER products are validated using other <span class="hlt">aerosol</span> products from AERONET and the MODIS Collection 6 <span class="hlt">aerosol</span> data from "Dark Target (DT)" and "Deep Blue (DB)" algorithms during the DRAGON-NE Asia 2012 campaign from March to May 2012. Comparison of AOD from GOCI and AERONET gives a Pearson correlation coefficient of 0.885 and a linear regression equation with GOCI AOD =1.086 × AERONET AOD - 0.041. GOCI and MODIS AODs are more highly correlated</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017AdSpR..59...63C','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017AdSpR..59...63C"><span>Analysis of <span class="hlt">aerosol</span>-cloud-precipitation interactions based on MODIS data</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Cheng, Feng; Zhang, Jiahua; He, Junliang; Zha, Yong; Li, Qiannan; Li, Yunmei</p> <p>2017-01-01</p> <p><span class="hlt">Aerosols</span> exert an indirect impact on climate change via its impact on clouds by altering its radiative and optical properties which, in turn, changes the process of precipitation. Over recent years how to study the indirect climate effect of <span class="hlt">aerosols</span> has become an important research topic. In this study we attempted to understand the complex mutual interactions among <span class="hlt">aerosols</span>, clouds and precipitation through analysis of the spatial correlation between <span class="hlt">aerosol</span> optical depth (AOD), cloud effective radius (CER) and precipitation during 2000-2012 in central-eastern China that has one of the highest concentrations of <span class="hlt">aerosols</span> globally. With the assistance of moderate resolution <span class="hlt">imaging</span> spectroradiometer (MODIS)-derived <span class="hlt">aerosol</span> and cloud product data, this analysis focuses on regional differentiation and seasonal variation of the correlation in which in situ observed precipitation was incorporated. On the basis of the achieved results, we proposed four patterns depicting the mutual interactions between <span class="hlt">aerosols</span>, clouds and precipitation. They characterize the indirect effects of <span class="hlt">aerosols</span> on the regional scale. These effects can be summarized as complex seasonal variations and north-south regional differentiation over the study area. The relationship between AOD and CER is predominated mostly by the first indirect effect (the negative correlation between AOD and CER) in the north of the study area in the winter and spring seasons, and over the entire study area in the summer season. The relationship between CER and precipitation is dominated chiefly by the second indirect effect (the positive correlation between CER and precipitation) in the northern area in summer and over the entire study area in autumn. It must be noted that <span class="hlt">aerosols</span> are not the factor affecting clouds and rainfall singularly. It is the joint effect of <span class="hlt">aerosols</span> with other factors such as atmospheric dynamics that governs the variation in clouds and rainfall.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://ntrs.nasa.gov/search.jsp?R=20030112782&hterms=competence&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D20%26Ntt%3Dcompetence','NASA-TRS'); return false;" href="https://ntrs.nasa.gov/search.jsp?R=20030112782&hterms=competence&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D20%26Ntt%3Dcompetence"><span>Synergism of MODIS <span class="hlt">Aerosol</span> Remote Sensing from Terra and Aqua</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Ichoku, Charles; Kaufman, Yoram J.; Remer, Lorraine A.</p> <p>2003-01-01</p> <p>The MODerate-resolution <span class="hlt">Imaging</span> Spectro-radiometer (MODIS) sensors, aboard the Earth Observing System (EOS) Terra and Aqua satellites, are showing excellent competence at measuring the global distribution and properties of <span class="hlt">aerosols</span>. Terra and Aqua were launched on December 18, 1999 and May 4, 2002 respectively, with daytime equator crossing times of approximately 10:30 am and 1:30 pm respectively. Several <span class="hlt">aerosol</span> parameters are retrieved at 10-km spatial resolution from MODIS daytime data over land and ocean surfaces. The parameters retrieved include: <span class="hlt">aerosol</span> optical thickness (AOT) at 0.47, 0.55 and 0.66 micron wavelengths over land, and at 0.47, 0.55, 0.66, 0.87, 1.2, 1.6, and 2.1 microns over ocean; Angstrom exponent over land and ocean; and effective radii, and the proportion of AOT contributed by the small mode <span class="hlt">aerosols</span> over ocean. Since the beginning of its operation, the quality of Terra-MODIS <span class="hlt">aerosol</span> products (especially AOT) have been evaluated periodically by cross-correlation with equivalent data sets acquired by ground-based (and occasionally also airborne) sunphotometers, particularly those coordinated within the framework of the <span class="hlt">AErosol</span> Robotic NETwork (AERONET). Terra-MODIS AOT data have been found to meet or exceed pre-launch accuracy expectations, and have been applied to various studies dealing with local, regional, and global <span class="hlt">aerosol</span> monitoring. The results of these Terra-MODIS <span class="hlt">aerosol</span> data validation efforts and studies have been reported in several scientific papers and conferences. Although Aqua-MODIS is still young, it is already yielding formidable <span class="hlt">aerosol</span> data products, which are also subjected to careful periodic evaluation similar to that implemented for the Terra-MODIS products. This paper presents results of validation of Aqua-MODIS <span class="hlt">aerosol</span> products with AERONET, as well as comparative evaluation against corresponding Terra-MODIS data. In addition, we show interesting independent and synergistic applications of MODIS <span class="hlt">aerosol</span> data from</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017ACP....1713165N','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017ACP....1713165N"><span>Unveiling <span class="hlt">aerosol</span>-cloud interactions - Part 2: Minimising the effects of <span class="hlt">aerosol</span> swelling and wet scavenging in ECHAM6-HAM2 for comparison to satellite data</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Neubauer, David; Christensen, Matthew W.; Poulsen, Caroline A.; Lohmann, Ulrike</p> <p>2017-11-01</p> <p><span class="hlt">Aerosol</span>-cloud interactions (ACIs) are uncertain and the estimates of the ACI effective radiative forcing (ERFaci) magnitude show a large variability. Within the <span class="hlt">Aerosol</span>_cci project the susceptibility of cloud properties to changes in <span class="hlt">aerosol</span> properties is derived from the high-resolution AATSR (Advanced Along-Track Scanning Radiometer) data set using the Cloud-<span class="hlt">Aerosol</span> Pairing Algorithm (CAPA) (as described in our companion paper) and compared to susceptibilities from the global <span class="hlt">aerosol</span> climate model ECHAM6-HAM2 and MODIS-CERES (Moderate Resolution <span class="hlt">Imaging</span> Spectroradiometer - Clouds and the Earth's Radiant Energy System) data. For ECHAM6-HAM2 the dry <span class="hlt">aerosol</span> is analysed to mimic the effect of CAPA. Furthermore the analysis is done for different environmental regimes. The <span class="hlt">aerosol</span>-liquid water path relationship in ECHAM6-HAM2 is systematically stronger than in AATSR-CAPA data and cannot be explained by an overestimation of autoconversion when using diagnostic precipitation but rather by <span class="hlt">aerosol</span> swelling in regions where humidity is high and clouds are present. When <span class="hlt">aerosol</span> water is removed from the analysis in ECHAM6-HAM2 the strength of the susceptibilities of liquid water path, cloud droplet number concentration and cloud albedo as well as ERFaci agree much better with those of AATSR-CAPA or MODIS-CERES. When comparing satellite-derived to model-derived susceptibilities, this study finds it more appropriate to use dry <span class="hlt">aerosol</span> in the computation of model susceptibilities. We further find that the statistical relationships inferred from different satellite sensors (AATSR-CAPA vs. MODIS-CERES) as well as from ECHAM6-HAM2 are not always of the same sign for the tested environmental conditions. In particular the susceptibility of the liquid water path is negative in non-raining scenes for MODIS-CERES but positive for AATSR-CAPA and ECHAM6-HAM2. Feedback processes like cloud-top entrainment that are missing or not well represented in the model are therefore not well</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2016PhDT........28O','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2016PhDT........28O"><span><span class="hlt">Aerosols</span>, light, and water: Measurements of <span class="hlt">aerosol</span> optical properties at different relative humidities</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Orozco, Daniel</p> <p></p> <p>(RH) at a certain RH divided by sp at a dry value, was used to evaluate the <span class="hlt">aerosol</span> hygroscopicity. Different empirical fits were evaluated using the f(RH) data. The widely used gamma model was found inappropriate, as it overestimates f(RH) for RH<75%. Abetter empirical fit with two power-law curve-fitting parameters c and k was found to replicate f(RH) accurately from the three sites. The relationship between the organic carbon mass (OMC) and the species that are affected by RH and f(RH) was also studied and categorized between the sites. A second experiment is reported where the first two elements of the scattering matrix of laboratory generated particles were studied under different humidity conditions. The non-spherical particles generated were ammonium sulfate, sodium chloride, and ammonium nitrate. The optical measurements were performed with a polarized <span class="hlt">imaging</span> nephelometer (PI-Neph) installed in series with the humidifier dryer apparatus. The inorganic salts experienced low (80%) RH levels so that the observations could contrast the differences when the salts were crystallized (low RH) and when the particles turned to aqueous solutions after deliquesence (high RH). The measurements with the PI-Neph produce the <span class="hlt">aerosol</span> phase function and the polarized phase function in a range of angles that go from 3 to 177. The results showed significant changes in the phase function and polarized phase function due to the hygroscopic growth. Although the inorganic salts used inthe experiments were non-spherical, the dry measurements were successfully reproduced with the Mie theory using literature values for the dry index of refraction. Moreover, the changes in the particle size distribution and index of refraction were evaluated through classic thermodynamic equilibrium theory producing comparable results with the simulations performed with Mie formalism. The final experiment consisted in the measurements of phase function and degree of linear polarization of ambient <span class="hlt">aerosols</span></p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://ntrs.nasa.gov/search.jsp?R=20070031218&hterms=Asian&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D40%26Ntt%3DAsian','NASA-TRS'); return false;" href="https://ntrs.nasa.gov/search.jsp?R=20070031218&hterms=Asian&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D40%26Ntt%3DAsian"><span>Deep Blue Retrievals of Asian <span class="hlt">Aerosol</span> Properties During ACE-Asia</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Hsu, N. Christina; Tsay, Si-Cee; King, Michael D.; Herman, Jay R.</p> <p>2006-01-01</p> <p>During the ACE-Asia field campaign, unprecedented amounts of <span class="hlt">aerosol</span> property data in East Asia during springtime were collected from an array of aircraft, shipboard, and surface instruments. However, most of the observations were obtained in areas downwind of the source regions. In this paper, the newly developed satellite <span class="hlt">aerosol</span> algorithm called "Deep Blue" was employed to characterize the properties of <span class="hlt">aerosols</span> over source regions using radiance measurements from the Sea-viewing Wide Field-of-view Sensor (SeaWiFS) and Moderate Resolution <span class="hlt">Imaging</span> Spectroradiometer (MODIS). Based upon the ngstr m exponent derived from the Deep Blue algorithm, it was demonstrated that this new algorithm is able to distinguish dust plumes from fine-mode pollution particles even in complex <span class="hlt">aerosol</span> environments such as the one over Beijing. Furthermore, these results were validated by comparing them with observations from AERONET sites in China and Mongolia during spring 2001. These comparisons show that the values of satellite-retrieved <span class="hlt">aerosol</span> optical thickness from Deep Blue are generally within 20%-30% of those measured by sunphotometers. The analyses also indicate that the roles of mineral dust and anthropogenic particles are comparable in contributing to the overall <span class="hlt">aerosol</span> distributions during spring in northern China, while fine-mode particles are dominant over southern China. The spring season in East Asia consists of one of the most complex environments in terms of frequent cloudiness and wide ranges of <span class="hlt">aerosol</span> loadings and types. This paper will discuss how the factors contributing to this complexity influence the resulting <span class="hlt">aerosol</span> monthly averages from various satellite sensors and, thus, the synergy among satellite <span class="hlt">aerosol</span> products.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.pubmedcentral.nih.gov/articlerender.fcgi?tool=pmcentrez&artid=3467805','PMC'); return false;" href="https://www.pubmedcentral.nih.gov/articlerender.fcgi?tool=pmcentrez&artid=3467805"><span>Preliminary investigation tests of novel antifungal topical <span class="hlt">aerosol</span></span></a></p> <p><a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pmc">PubMed Central</a></p> <p>Kapadia, Monali M.; Solanki, S. T.; Parmar, V.; Thosar, M. M.; Pancholi, S. S.</p> <p>2012-01-01</p> <p>Spray formulation can minimize pain and irritation experience during the application of conventional dosage forms. Econazole Nitrate is an active ingredient of the <span class="hlt">aerosol</span> concentrate to be used for twice-daily application because of its long durability in the superficial layers of the fungal infected skin. The aim of this study is preliminary investigation of Econazole Nitrate spray by varying the concentrations of different constituents of the spray. The ratios of Propylene glycol (PG) and isopropyl myristate (IPM) were selected as independent variables in 22 full factorial designs, keeping the concentration of solvent, co-solvent and propellant LPG constant. <span class="hlt">Aerosol</span> also contained Ethanol as solvent and Isopropyl alcohol as co-solvent. All ingredients of the <span class="hlt">aerosol</span> were packaged in an aluminum container fitted with continuous-spray valves. Physical properties evaluated for the Econazole Nitrate spray included delivery rate, delivery amount, pressure, minimum fill, leakage, flammability, spray patterns, particle <span class="hlt">image</span> and plume angle. Glass containers were used to study incompatibility between concentrate and propellant due to the ease of visible inspection. Isopropyl myristate at lower concentrate showed turbidity, while at high concentration it met the requirements for <span class="hlt">aerosol</span> and produced Econazole Nitrate spray with expected characteristics. PMID:23066214</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2016AMT.....9.1377C','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2016AMT.....9.1377C"><span>GOCI Yonsei <span class="hlt">Aerosol</span> Retrieval (YAER) algorithm and validation during the DRAGON-NE Asia 2012 campaign</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Choi, Myungje; Kim, Jhoon; Lee, Jaehwa; Kim, Mijin; Park, Young-Je; Jeong, Ukkyo; Kim, Woogyung; Hong, Hyunkee; Holben, Brent; Eck, Thomas F.; Song, Chul H.; Lim, Jae-Hyun; Song, Chang-Keun</p> <p>2016-04-01</p> <p>The Geostationary Ocean Color <span class="hlt">Imager</span> (GOCI) onboard the Communication, Ocean, and Meteorological Satellite (COMS) is the first multi-channel ocean color <span class="hlt">imager</span> in geostationary orbit. Hourly GOCI top-of-atmosphere radiance has been available for the retrieval of <span class="hlt">aerosol</span> optical properties over East Asia since March 2011. This study presents improvements made to the GOCI Yonsei <span class="hlt">Aerosol</span> Retrieval (YAER) algorithm together with validation results during the Distributed Regional <span class="hlt">Aerosol</span> Gridded Observation Networks - Northeast Asia 2012 campaign (DRAGON-NE Asia 2012 campaign). The evaluation during the spring season over East Asia is important because of high <span class="hlt">aerosol</span> concentrations and diverse types of Asian dust and haze. Optical properties of <span class="hlt">aerosol</span> are retrieved from the GOCI YAER algorithm including <span class="hlt">aerosol</span> optical depth (AOD) at 550 nm, fine-mode fraction (FMF) at 550 nm, single-scattering albedo (SSA) at 440 nm, Ångström exponent (AE) between 440 and 860 nm, and <span class="hlt">aerosol</span> type. The <span class="hlt">aerosol</span> models are created based on a global analysis of the <span class="hlt">Aerosol</span> Robotic Networks (AERONET) inversion data, and covers a broad range of size distribution and absorptivity, including nonspherical dust properties. The Cox-Munk ocean bidirectional reflectance distribution function (BRDF) model is used over ocean, and an improved minimum reflectance technique is used over land. Because turbid water is persistent over the Yellow Sea, the land algorithm is used for such cases. The <span class="hlt">aerosol</span> products are evaluated against AERONET observations and MODIS Collection 6 <span class="hlt">aerosol</span> products retrieved from Dark Target (DT) and Deep Blue (DB) algorithms during the DRAGON-NE Asia 2012 campaign conducted from March to May 2012. Comparison of AOD from GOCI and AERONET resulted in a Pearson correlation coefficient of 0.881 and a linear regression equation with GOCI AOD = 1.083 × AERONET AOD - 0.042. The correlation between GOCI and MODIS AODs is higher over ocean than land. GOCI AOD shows better</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://ntrs.nasa.gov/search.jsp?R=20170003266&hterms=BRDF+Model+Validation&qs=N%3D0%26Ntk%3DAll%26Ntx%3Dmode%2Bmatchall%26Ntt%3DBRDF%2BModel%2BValidation','NASA-TRS'); return false;" href="https://ntrs.nasa.gov/search.jsp?R=20170003266&hterms=BRDF+Model+Validation&qs=N%3D0%26Ntk%3DAll%26Ntx%3Dmode%2Bmatchall%26Ntt%3DBRDF%2BModel%2BValidation"><span>GOCI Yonsei <span class="hlt">Aerosol</span> Retrieval (YAER) Algorithm and Validation During the DRAGON-NE Asia 2012 Campaign</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Choi, Myungje; Kim, Jhoon; Lee, Jaehwa; Kim, Mijin; Park, Young-Je; Jeong, Ukkyo; Kim, Woogyung; Hong, Hyunkee; Holben, Brent; Eck, Thomas F.; <a style="text-decoration: none; " href="javascript:void(0); " onClick="displayelement('author_20170003266'); toggleEditAbsImage('author_20170003266_show'); toggleEditAbsImage('author_20170003266_hide'); "> <img style="display:inline; width:12px; height:12px; " src="images/arrow-up.gif" width="12" height="12" border="0" alt="hide" id="author_20170003266_show"> <img style="width:12px; height:12px; display:none; " src="images/arrow-down.gif" width="12" height="12" border="0" alt="hide" id="author_20170003266_hide"></p> <p>2016-01-01</p> <p>The Geostationary Ocean Color <span class="hlt">Imager</span> (GOCI) onboard the Communication, Ocean, and Meteorological Satellite (COMS) is the first multi-channel ocean color <span class="hlt">imager</span> in geostationary orbit. Hourly GOCI top-of-atmosphere radiance has been available for the retrieval of <span class="hlt">aerosol</span> optical properties over East Asia since March 2011. This study presents improvements made to the GOCI Yonsei <span class="hlt">Aerosol</span> Retrieval (YAER) algorithm together with validation results during the Distributed Regional <span class="hlt">Aerosol</span> Gridded Observation Networks - Northeast Asia 2012 campaign (DRAGONNE Asia 2012 campaign). The evaluation during the spring season over East Asia is important because of high <span class="hlt">aerosol</span> concentrations and diverse types of Asian dust and haze. Optical properties of <span class="hlt">aerosol</span> are retrieved from the GOCI YAER algorithm including <span class="hlt">aerosol</span> optical depth (AOD) at 550 nm, fine-mode fraction (FMF) at 550 nm, single-scattering albedo (SSA) at 440 nm, Angstrom exponent (AE) between 440 and 860 nm, and <span class="hlt">aerosol</span> type. The <span class="hlt">aerosol</span> models are created based on a global analysis of the <span class="hlt">Aerosol</span> Robotic Networks (AERONET) inversion data, and covers a broad range of size distribution and absorptivity, including nonspherical dust properties. The Cox-Munk ocean bidirectional reflectance distribution function (BRDF) model is used over ocean, and an improved minimum reflectance technique is used over land. Because turbid water is persistent over the Yellow Sea, the land algorithm is used for such cases. The <span class="hlt">aerosol</span> products are evaluated against AERONET observations and MODIS Collection 6 <span class="hlt">aerosol</span> products retrieved from Dark Target (DT) and Deep Blue (DB) algorithms during the DRAGON-NE Asia 2012 campaign conducted from March to May 2012. Comparison of AOD from GOCI and AERONET resulted in a Pearson correlation coefficient of 0.881 and a linear regression equation with GOCI AOD = 1.083 x AERONET AOD - 0.042. The correlation between GOCI and MODIS AODs is higher over ocean than land. GOCI AOD shows better agreement</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2015GMDD....810455L','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2015GMDD....810455L"><span>Development studies towards an 11-year global gridded <span class="hlt">aerosol</span> optical thickness reanalysis for climate and applied applications</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Lynch, P.; Reid, J. S.; Westphal, D. L.; Zhang, J.; Hogan, T. F.; Hyer, E. J.; Curtis, C. A.; Hegg, D. A.; Shi, Y.; Campbell, J. R.; Rubin, J. I.; Sessions, W. R.; Turk, F. J.; Walker, A. L.</p> <p>2015-12-01</p> <p>While standalone satellite and model <span class="hlt">aerosol</span> products see wide utilization, there is a significant need in numerous climate and applied applications for a fused product on a regular grid. <span class="hlt">Aerosol</span> data assimilation is an operational reality at numerous centers, and like meteorological reanalyses, <span class="hlt">aerosol</span> reanalyses will see significant use in the near future. Here we present a standardized 2003-2013 global 1° × 1° and 6 hourly modal <span class="hlt">aerosol</span> optical thickness (AOT) reanalysis product. This dataset can be applied to basic and applied earth system science studies of significant <span class="hlt">aerosol</span> events, <span class="hlt">aerosol</span> impacts on numerical weather prediction, and electro-optical propagation and sensor performance, among other uses. This paper describes the science of how to develop and score an <span class="hlt">aerosol</span> reanalysis product. This reanalysis utilizes a modified Navy <span class="hlt">Aerosol</span> Analysis and Prediction System (NAAPS) at its core and assimilates quality controlled retrievals of AOT from the Moderate Resolution <span class="hlt">Imaging</span> Spectroradiometer (MODIS) on Terra and Aqua and the Multi-angle <span class="hlt">Imaging</span> SpectroRadiometer (MISR) on Terra. The <span class="hlt">aerosol</span> source functions, including dust and smoke, were regionally tuned to obtain the best match between the model fine and coarse mode AOTs and the <span class="hlt">Aerosol</span> Robotic Network (AERONET) AOTs. Other model processes, including deposition, were tuned to minimize the AOT difference between the model and satellite AOT. <span class="hlt">Aerosol</span> wet deposition in the tropics is driven with satellite retrieved precipitation, rather than the model field. The final reanalyzed fine and coarse mode AOT at 550 nm is shown to have good agreement with AERONET observations, with global mean root mean square error around 0.1 for both fine and coarse mode AOTs. This paper includes a discussion of issues particular to <span class="hlt">aerosol</span> reanalyses that make them distinct from standard meteorological reanalyses, considerations for extending such a reanalysis outside of the NASA A-Train era, and examples of how the</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2011ACP....11.9037M','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2011ACP....11.9037M"><span>Black carbon <span class="hlt">aerosol</span> mixing state, organic <span class="hlt">aerosols</span> and <span class="hlt">aerosol</span> optical properties over the United Kingdom</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>McMeeking, G. R.; Morgan, W. T.; Flynn, M.; Highwood, E. J.; Turnbull, K.; Haywood, J.; Coe, H.</p> <p>2011-09-01</p> <p>Black carbon (BC) <span class="hlt">aerosols</span> absorb sunlight thereby leading to a positive radiative forcing and a warming of climate and can also impact human health through their impact on the respiratory system. The state of mixing of BC with other <span class="hlt">aerosol</span> species, particularly the degree of internal/external mixing, has been highlighted as a major uncertainty in assessing its radiative forcing and hence its climate impact, but few in situ observations of mixing state exist. We present airborne single particle soot photometer (SP2) measurements of refractory BC (rBC) mass concentrations and mixing state coupled with <span class="hlt">aerosol</span> composition and optical properties measured in urban plumes and regional pollution over the United Kingdom. All data were obtained using instrumentation flown on the UK's BAe-146-301 large Atmospheric Research Aircraft (ARA) operated by the Facility for Airborne Atmospheric Measurements (FAAM). We measured sub-micron <span class="hlt">aerosol</span> composition using an <span class="hlt">aerosol</span> mass spectrometer (AMS) and used positive matrix factorization to separate hydrocarbon-like (HOA) and oxygenated organic <span class="hlt">aerosols</span> (OOA). We found a higher number fraction of thickly coated rBC particles in air masses with large OOA relative to HOA, higher ozone-to-nitrogen oxides (NOx) ratios and large concentrations of total sub-micron <span class="hlt">aerosol</span> mass relative to rBC mass concentrations. The more ozone- and OOA-rich air masses were associated with transport from continental Europe, while plumes from UK cities had higher HOA and NOx and fewer thickly coated rBC particles. We did not observe any significant change in the rBC mass absorption efficiency calculated from rBC mass and light absorption coefficients measured by a particle soot absorption photometer despite observing significant changes in <span class="hlt">aerosol</span> composition and rBC mixing state. The contributions of light scattering and absorption to total extinction (quantified by the single scattering albedo; SSA) did change for different air masses, with lower SSA</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2013ACP....13.4997D','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2013ACP....13.4997D"><span>Characterization of urban <span class="hlt">aerosol</span> in Cork city (Ireland) using <span class="hlt">aerosol</span> mass spectrometry</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Dall'Osto, M.; Ovadnevaite, J.; Ceburnis, D.; Martin, D.; Healy, R. M.; O'Connor, I. P.; Kourtchev, I.; Sodeau, J. R.; Wenger, J. C.; O'Dowd, C.</p> <p>2013-05-01</p> <p>Ambient wintertime background urban <span class="hlt">aerosol</span> in Cork city, Ireland, was characterized using <span class="hlt">aerosol</span> mass spectrometry. During the three-week measurement study in 2009, 93% of the ca. 1 350 000 single particles characterized by an <span class="hlt">Aerosol</span> Time-of-Flight Mass Spectrometer (TSI ATOFMS) were classified into five organic-rich particle types, internally mixed to different proportions with elemental carbon (EC), sulphate and nitrate, while the remaining 7% was predominantly inorganic in nature. Non-refractory PM1 <span class="hlt">aerosol</span> was characterized using a High Resolution Time-of-Flight <span class="hlt">Aerosol</span> Mass Spectrometer (Aerodyne HR-ToF-AMS) and was also found to comprise organic <span class="hlt">aerosol</span> as the most abundant species (62%), followed by nitrate (15%), sulphate (9%) and ammonium (9%), and chloride (5%). Positive matrix factorization (PMF) was applied to the HR-ToF-AMS organic matrix, and a five-factor solution was found to describe the variance in the data well. Specifically, "hydrocarbon-like" organic <span class="hlt">aerosol</span> (HOA) comprised 20% of the mass, "low-volatility" oxygenated organic <span class="hlt">aerosol</span> (LV-OOA) comprised 18%, "biomass burning" organic <span class="hlt">aerosol</span> (BBOA) comprised 23%, non-wood solid-fuel combustion "peat and coal" organic <span class="hlt">aerosol</span> (PCOA) comprised 21%, and finally a species type characterized by primary {m/z} peaks at 41 and 55, similar to previously reported "cooking" organic <span class="hlt">aerosol</span> (COA), but possessing different diurnal variations to what would be expected for cooking activities, contributed 18%. Correlations between the different particle types obtained by the two <span class="hlt">aerosol</span> mass spectrometers are also discussed. Despite wood, coal and peat being minor fuel types used for domestic space heating in urban areas, their relatively low combustion efficiencies result in a significant contribution to PM1 <span class="hlt">aerosol</span> mass (44% and 28% of the total organic <span class="hlt">aerosol</span> mass and non-refractory total PM1, respectively).</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://ntrs.nasa.gov/search.jsp?R=GL-2002-001714&hterms=air+asia&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D30%26Ntt%3Dair%2Basia','NASA-TRS'); return false;" href="https://ntrs.nasa.gov/search.jsp?R=GL-2002-001714&hterms=air+asia&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D30%26Ntt%3Dair%2Basia"><span><span class="hlt">Aerosols</span> over Eastern Asia</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p></p> <p>2002-01-01</p> <p>This Sea-viewing Wide Field-of-view Sensor (SeaWiFS) <span class="hlt">image</span> of eastern Asia from October 14, 2001, shows large amounts of <span class="hlt">aerosol</span> in the air. A few possible point sources of smoke, probably fires, are visible north of the Amur River at the very top of the <span class="hlt">image</span>. One of the larger of these plumes can be seen down river of the confluence of the Songhua and Amur rivers. At lower left, the Yangtze River plume in the East China Sea is also very prominent. Sediment suspended in the ocean water is quite brown near the shore, but becomes much greener as it diffuses into the water. The increasing greenness of the river plume is probably an indication of enhanced phytoplankton growth driven by the nutrients in the river runoff. <span class="hlt">Image</span> courtesy the SeaWiFS Project, NASA/Goddard Space Flight Center, and ORBIMAGE</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.ncbi.nlm.nih.gov/pubmed/27614613','PUBMED'); return false;" href="https://www.ncbi.nlm.nih.gov/pubmed/27614613"><span>The role of anisotropic expansion for pulmonary acinar <span class="hlt">aerosol</span> deposition.</span></a></p> <p><a target="_blank" href="https://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pubmed">PubMed</a></p> <p>Hofemeier, Philipp; Sznitman, Josué</p> <p>2016-10-03</p> <p>Lung deformations at the local pulmonary acinar scale are intrinsically anisotropic. Despite progress in <span class="hlt">imaging</span> modalities, the true heterogeneous nature of acinar expansion during breathing remains controversial, where our understanding of inhaled <span class="hlt">aerosol</span> deposition still widely emanates from studies under self-similar, isotropic wall motions. Building on recent 3D models of multi-generation acinar networks, we explore in numerical simulations how different hypothesized scenarios of anisotropic expansion influence deposition outcomes of inhaled <span class="hlt">aerosols</span> in the acinar depths. While the broader range of particles acknowledged to reach the acinar region (d p =0.005-5.0μm) are largely unaffected by the details of anisotropic expansion under tidal breathing, our results suggest nevertheless that anisotropy modulates the deposition sites and fractions for a narrow band of sub-micron particles (d p ~0.5-0.75μm), where the fate of <span class="hlt">aerosols</span> is greatly intertwined with local convective flows. Our findings underscore how intrinsic <span class="hlt">aerosol</span> motion (i.e. diffusion, sedimentation) undermines the role of anisotropic wall expansion that is often attributed in determining <span class="hlt">aerosol</span> mixing and acinar deposition. Copyright © 2016 Elsevier Ltd. All rights reserved.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20140017090','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20140017090"><span>Influence of Observed Diurnal Cycles of <span class="hlt">Aerosol</span> Optical Depth on <span class="hlt">Aerosol</span> Direct Radiative Effect</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Arola, A.; Eck, T. F.; Huttunen, J.; Lehtinen, K. E. J.; Lindfors, A. V.; Myhre, G.; Smirinov, A.; Tripathi, S. N.; Yu, H.</p> <p>2013-01-01</p> <p>The diurnal variability of <span class="hlt">aerosol</span> optical depth (AOD) can be significant, depending on location and dominant <span class="hlt">aerosol</span> type. However, these diurnal cycles have rarely been taken into account in measurement-based estimates of <span class="hlt">aerosol</span> direct radiative forcing (ADRF) or <span class="hlt">aerosol</span> direct radiative effect (ADRE). The objective of our study was to estimate the influence of diurnal <span class="hlt">aerosol</span> variability at the top of the atmosphere ADRE estimates. By including all the possible AERONET sites, we wanted to assess the influence on global ADRE estimates. While focusing also in more detail on some selected sites of strongest impact, our goal was to also see the possible impact regionally.We calculated ADRE with different assumptions about the daily AOD variability: taking the observed daily AOD cycle into account and assuming diurnally constant AOD. Moreover, we estimated the corresponding differences in ADREs, if the single AOD value for the daily mean was taken from the the Moderate Resolution <span class="hlt">Imaging</span> Spectroradiometer (MODIS) Terra or Aqua overpass times, instead of accounting for the true observed daily variability. The mean impact of diurnal AOD variability on 24 h ADRE estimates, averaged over all AERONET sites, was rather small and it was relatively small even for the cases when AOD was chosen to correspond to the Terra or Aqua overpass time. This was true on average over all AERONET sites, while clearly there can be much stronger impact in individual sites. Examples of some selected sites demonstrated that the strongest observed AOD variability (the strongest morning afternoon contrast) does not typically result in a significant impact on 24 h ADRE. In those cases, the morning and afternoon AOD patterns are opposite and thus the impact on 24 h ADRE, when integrated over all solar zenith angles, is reduced. The most significant effect on daily ADRE was induced by AOD cycles with either maximum or minimum AOD close to local noon. In these cases, the impact on 24 h ADRE was</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2016AMT.....9.3031G','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2016AMT.....9.3031G"><span>The role of cloud contamination, <span class="hlt">aerosol</span> layer height and <span class="hlt">aerosol</span> model in the assessment of the OMI near-UV retrievals over the ocean</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Gassó, Santiago; Torres, Omar</p> <p>2016-07-01</p> <p>Retrievals of <span class="hlt">aerosol</span> optical depth (AOD) at 388 nm over the ocean from the Ozone Monitoring Instrument (OMI) two-channel near-UV algorithm (OMAERUV) have been compared with independent AOD measurements. The analysis was carried out over the open ocean (OMI and MODerate-resolution <span class="hlt">Imaging</span> Spectrometer (MODIS) AOD comparisons) and over coastal and island sites (OMI and AERONET, the <span class="hlt">AErosol</span> RObotic NETwork). Additionally, a research version of the retrieval algorithm (using MODIS and CALIOP (Cloud-<span class="hlt">Aerosol</span> Lidar with Orthogonal Polarization) information as constraints) was utilized to evaluate the sensitivity of the retrieval to different assumed <span class="hlt">aerosol</span> properties. Overall, the comparison resulted in differences (OMI minus independent measurements) within the expected levels of uncertainty for the OMI AOD retrievals (0.1 for AOD < 0.3, 30 % for AOD > 0.3). Using examples from case studies with outliers, the reasons that led to the observed differences were examined with specific purpose to determine whether they are related to instrument limitations (i.e., pixel size, calibration) or algorithm assumptions (such as <span class="hlt">aerosol</span> shape, <span class="hlt">aerosol</span> height). The analysis confirms that OMAERUV does an adequate job at rejecting cloudy scenes within the instrument's capabilities. There is a residual cloud contamination in OMI pixels with quality flag 0 (the best conditions for <span class="hlt">aerosol</span> retrieval according to the algorithm), resulting in a bias towards high AODs in OMAERUV. This bias is more pronounced at low concentrations of absorbing <span class="hlt">aerosols</span> (AOD 388 nm ˜ < 0.5). For higher <span class="hlt">aerosol</span> loadings, the bias remains within OMI's AOD uncertainties. In pixels where OMAERUV assigned a dust <span class="hlt">aerosol</span> model, a fraction of them (< 20 %) had retrieved AODs significantly lower than AERONET and MODIS AODs. In a case study, a detailed examination of the <span class="hlt">aerosol</span> height from CALIOP and the AODs from MODIS, along with sensitivity tests, was carried out by varying the different assumed parameters in the</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://ntrs.nasa.gov/search.jsp?R=20160011400&hterms=layer&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D50%26Ntt%3Dlayer','NASA-TRS'); return false;" href="https://ntrs.nasa.gov/search.jsp?R=20160011400&hterms=layer&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D50%26Ntt%3Dlayer"><span>The Role of Cloud Contamination, <span class="hlt">Aerosol</span> Layer Height and <span class="hlt">Aerosol</span> Model in the Assessment of the OMI Near-UV Retrievals Over the Ocean</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Gasso, Santiago; Torres, Omar</p> <p>2016-01-01</p> <p>Retrievals of <span class="hlt">aerosol</span> optical depth (AOD) at 388 nm over the ocean from the Ozone Monitoring Instrument (OMI) two-channel near-UV algorithm (OMAERUV) have been compared with independent AOD measurements. The analysis was carried out over the open ocean (OMI and MODerate-resolution <span class="hlt">Imaging</span> Spectrometer (MODIS) AOD comparisons) and over coastal and island sites (OMI and AERONET, the <span class="hlt">AErosol</span> RObotic NETwork). Additionally, a research version of the retrieval algorithm (using MODIS and CALIOP (Cloud-<span class="hlt">Aerosol</span> Lidar with Orthogonal Polarization) information as constraints) was utilized to evaluate the sensitivity of the retrieval to different assumed <span class="hlt">aerosol</span> properties. Overall, the comparison resulted in differences (OMI minus independent measurements) within the expected levels of uncertainty for the OMI AOD retrievals (0.1 for AOD less than 0.3, 30% for AOD greater than 0.3). Using examples from case studies with outliers, the reasons that led to the observed differences were examined with specific purpose to determine whether they are related to instrument limitations (i.e., pixel size, calibration) or algorithm assumptions (such as <span class="hlt">aerosol</span> shape, <span class="hlt">aerosol</span> height). The analysis confirms that OMAERUV does an adequate job at rejecting cloudy scenes within the instrument's capabilities. There is a residual cloud contamination in OMI pixels with quality flag 0 (the best conditions for <span class="hlt">aerosol</span> retrieval according to the algorithm), resulting in a bias towards high AODs in OMAERUV. This bias is more pronounced at low concentrations of absorbing <span class="hlt">aerosols</span> (AOD 388 nm approximately less than 0.5). For higher <span class="hlt">aerosol</span> loadings, the bias remains within OMI's AOD uncertainties. In pixels where OMAERUV assigned a dust <span class="hlt">aerosol</span> model, a fraction of them (less than 20 %) had retrieved AODs significantly lower than AERONET and MODIS AODs. In a case study, a detailed examination of the <span class="hlt">aerosol</span> height from CALIOP and the AODs from MODIS, along with sensitivity tests, was carried out by</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2014AGUFM.A21E3080L','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2014AGUFM.A21E3080L"><span>Creating a consistent dark-target <span class="hlt">aerosol</span> optical depth record from MODIS and VIIRS</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Levy, R. C.; Mattoo, S.; Munchak, L. A.; Patadia, F.; Holz, R.</p> <p>2014-12-01</p> <p>To answer fundamental questions about our changing climate, we must quantify how <span class="hlt">aerosols</span> are changing over time. This is a global question that requires regional characterization, because in some places <span class="hlt">aerosols</span> are increasing and in others they are decreasing. Although NASA's Moderate resolution <span class="hlt">Imaging</span> Spectrometer (MODIS) sensors have provided quantitative information about global <span class="hlt">aerosol</span> optical depth (AOD) for more than a decade, the creation of an <span class="hlt">aerosol</span> climate data record (CDR) requires consistent multi-decadal data. With the Visible and Infrared <span class="hlt">Imaging</span> Radiometer Suite (VIIRS) aboard Suomi-NPP, there is potential to continue the MODIS <span class="hlt">aerosol</span> time series. Yet, since the operational VIIRS <span class="hlt">aerosol</span> product is produced by a different algorithm, it is not suitable to continue MODIS to create an <span class="hlt">aerosol</span> CDR. Therefore, we have applied the MODIS Dark-target (DT) algorithm to VIIRS observations, taking into account the slight differences in wavelengths, resolutions and geometries between the two sensors. More specifically, we applied the MODIS DT algorithm to a dataset known as the Intermediate File Format (IFF), created by the University of Wisconsin. The IFF is produced for both MODIS and VIIRS, with the idea that a single (MODIS-like or ML) algorithm can be run either dataset, which can in turn be compared to the MODIS Collection 6 (M6) retrieval that is run on standard MODIS data. After minimizing or characterizing remaining differences between ML on MODIS-IFF (or ML-M) and M6, we have performed apples-to-apples comparison between ML-M and ML on VIIRS IFF (ML-V). Examples of these comparisons include time series of monthly global mean, monthly and seasonal global maps at 1° resolution, and collocations as compared to AERONET. We concentrate on the overlapping period January 2012 through June 2014, and discuss some of the remaining discrepancies between the ML-V and ML-M datasets.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017AGUFM.A21G2238C','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017AGUFM.A21G2238C"><span>GOCI Yonsei <span class="hlt">aerosol</span> retrieval version 2 <span class="hlt">aerosol</span> products: improved algorithm description and error analysis with uncertainty estimation from 5-year validation over East Asia</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Choi, M.; Kim, J.; Lee, J.; KIM, M.; Park, Y. J.; Holben, B. N.; Eck, T. F.; Li, Z.; Song, C. H.</p> <p>2017-12-01</p> <p>The Geostationary Ocean Color <span class="hlt">Imager</span> (GOCI) Yonsei <span class="hlt">aerosol</span> retrieval (YAER) version 1 algorithm was developed for retrieving hourly <span class="hlt">aerosol</span> optical depth at 550 nm (AOD) and other subsidiary <span class="hlt">aerosol</span> optical properties over East Asia. The GOCI YAER AOD showed comparable accuracy compared to ground-based and other satellite-based observations, but still had errors due to uncertainties in surface reflectance and simple cloud masking. Also, it was not capable of near-real-time (NRT) processing because it required a monthly database of each year encompassing the day of retrieval for the determination of surface reflectance. This study describes the improvement of GOCI YAER algorithm to the version 2 (V2) for NRT processing with improved accuracy from the modification of cloud masking, surface reflectance determination using multi-year Rayleigh corrected reflectance and wind speed database, and inversion channels per surface conditions. Therefore, the improved GOCI AOD ( ) is similar with those of Moderate Resolution <span class="hlt">Imaging</span> Spectroradiometer (MODIS) and Visible Infrared <span class="hlt">Imaging</span> Radiometer Suite (VIIRS) AOD compared to V1 of the YAER algorithm. The shows reduced median bias and increased ratio within range (i.e. absolute expected error range of MODIS AOD) compared to V1 in the validation results using <span class="hlt">Aerosol</span> Robotic Network (AERONET) AOD ( ) from 2011 to 2016. The validation using the Sun-Sky Radiometer Observation Network (SONET) over China also shows similar results. The bias of error ( is within -0.1 and 0.1 range as a function of AERONET AOD and AE, scattering angle, NDVI, cloud fraction and homogeneity of retrieved AOD, observation time, month, and year. Also, the diagnostic and prognostic expected error (DEE and PEE, respectively) of are estimated. The estimated multiple PEE of GOCI V2 AOD is well matched with actual error over East Asia, and the GOCI V2 AOD over Korea shows higher ratio within PEE compared to over China and Japan. Hourly AOD products based on the</p> </li> </ol> <div class="pull-right"> <ul class="pagination"> <li><a href="#" onclick='return showDiv("page_1");'>«</a></li> <li><a href="#" onclick='return showDiv("page_19");'>19</a></li> <li><a href="#" onclick='return showDiv("page_20");'>20</a></li> <li class="active"><span>21</span></li> <li><a href="#" onclick='return showDiv("page_22");'>22</a></li> <li><a href="#" onclick='return showDiv("page_23");'>23</a></li> <li><a href="#" onclick='return showDiv("page_25");'>»</a></li> </ul> </div> </div><!-- col-sm-12 --> </div><!-- row --> </div><!-- page_21 --> <div id="page_22" class="hiddenDiv"> <div class="row"> <div class="col-sm-12"> <div class="pull-right"> <ul class="pagination"> <li><a href="#" onclick='return showDiv("page_1");'>«</a></li> <li><a href="#" onclick='return showDiv("page_20");'>20</a></li> <li><a href="#" onclick='return showDiv("page_21");'>21</a></li> <li class="active"><span>22</span></li> <li><a href="#" onclick='return showDiv("page_23");'>23</a></li> <li><a href="#" onclick='return showDiv("page_24");'>24</a></li> <li><a href="#" onclick='return showDiv("page_25");'>»</a></li> </ul> </div> </div> </div> <div class="row"> <div class="col-sm-12"> <ol class="result-class" start="421"> <li> <p><a target="_blank" onclick="trackOutboundLink('https://ntrs.nasa.gov/search.jsp?R=20020064477&hterms=safari&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D60%26Ntt%3Dsafari','NASA-TRS'); return false;" href="https://ntrs.nasa.gov/search.jsp?R=20020064477&hterms=safari&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D60%26Ntt%3Dsafari"><span>Coordinated Airborne, Spaceborne, and Ground-Based Measurements of Massive, Thick <span class="hlt">Aerosol</span> Layers During the Dry Season in Southern Africa</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Schmid, B.; Redemann, J.; Russell, P. B.; Hobbs, P. V.; Hlavka, D. L.; McGill, M. J.; Holben, B. N.; Welton, E. J.; Campbell, J.; Torres, O.; <a style="text-decoration: none; " href="javascript:void(0); " onClick="displayelement('author_20020064477'); toggleEditAbsImage('author_20020064477_show'); toggleEditAbsImage('author_20020064477_hide'); "> <img style="display:inline; width:12px; height:12px; " src="images/arrow-up.gif" width="12" height="12" border="0" alt="hide" id="author_20020064477_show"> <img style="width:12px; height:12px; display:none; " src="images/arrow-down.gif" width="12" height="12" border="0" alt="hide" id="author_20020064477_hide"></p> <p>2002-01-01</p> <p>During the dry-season airborne campaign of the Southern African Regional Science Initiative (SAFARI 2000), unique coordinated observations were made of massive, thick <span class="hlt">aerosol</span> layers. These layers were often dominated by <span class="hlt">aerosols</span> from biomass burning. We report on airborne Sunphotometer measurements of <span class="hlt">aerosol</span> optical depth (lambda=354-1558 nm), columnar water vapor, and vertical profiles of <span class="hlt">aerosol</span> extinction and water vapor density that were obtained aboard the University of Washington's Convair-580 research aircraft. We compare these with ground-based AERONET Sun/sky radiometer results, with ground based lidar data MPL-Net), and with measurements from a downward-pointing lidar aboard the high-flying NASA ER-2 aircraft. Finally, we show comparisons between <span class="hlt">aerosol</span> optical depths from the Sunphotometer and those retrieved over land and over water using four spaceborne sensors (TOMS (Total Ozone Mapping Spectrometer), MODIS (Moderate Resolution <span class="hlt">Imaging</span> Spectrometer), MISR (Multiangle <span class="hlt">Imaging</span> Spectroradiometer) and ATSR-2 (Along Track Scanning Radiometer)).</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017AGUFM.A51E2119L','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017AGUFM.A51E2119L"><span>Sources and Variability of <span class="hlt">Aerosols</span> and <span class="hlt">Aerosol</span>-Cloud Interactions in the Arctic</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Liu, H.; Zhang, B.; Taylor, P. C.; Moore, R.; Barahona, D.; Fairlie, T. D.; Chen, G.; Ham, S. H.; Kato, S.</p> <p>2017-12-01</p> <p>Arctic sea ice in recent decades has significantly declined. This requires understanding of the Arctic surface energy balance, of which clouds are a major driver. However, the mechanisms for the formation and evolution of clouds in the Arctic and the roles of <span class="hlt">aerosols</span> therein are highly uncertain. Here we conduct data analysis and global model simulations to examine the sources and variability of <span class="hlt">aerosols</span> and <span class="hlt">aerosol</span>-cloud interactions in the Arctic. We use the MERRA-2 reanalysis data (2006-present) from the NASA Global Modeling and Assimilation Office (GMAO) to (1) quantify contributions of different <span class="hlt">aerosol</span> types to the <span class="hlt">aerosol</span> budget and <span class="hlt">aerosol</span> optical depths in the Arctic, (2) ­examine <span class="hlt">aerosol</span> distributions and variability and diagnose the major pathways for mid-latitude pollution transport to the Arctic, including their seasonal and interannual variability, and (3) characterize the distribution and variability of clouds (cloud optical depth, cloud fraction, cloud liquid and ice water path, cloud top height) in the Arctic. We compare MERRA-2 <span class="hlt">aerosol</span> and cloud properties with those from C3M, a 3-D <span class="hlt">aerosol</span> and cloud data product developed at NASA Langley Research Center and merged from multiple A-Train satellite (CERES, CloudSat, CALIPSO, and MODIS) observations. We also conduct perturbation experiments using the NASA GEOS-5 chemistry-climate model (with GOCART <span class="hlt">aerosol</span> module coupled with two-moment cloud microphysics), and discuss the roles of various types of <span class="hlt">aerosols</span> in the formation and evolution of clouds in the Arctic.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2015AGUFM.A52D..07L','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2015AGUFM.A52D..07L"><span><span class="hlt">Aerosol</span> Indirect Effects on Cirrus Clouds in Global <span class="hlt">Aerosol</span>-Climate Models</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Liu, X.; Zhang, K.; Wang, Y.; Neubauer, D.; Lohmann, U.; Ferrachat, S.; Zhou, C.; Penner, J.; Barahona, D.; Shi, X.</p> <p>2015-12-01</p> <p>Cirrus clouds play an important role in regulating the Earth's radiative budget and water vapor distribution in the upper troposphere. <span class="hlt">Aerosols</span> can act as solution droplets or ice nuclei that promote ice nucleation in cirrus clouds. Anthropogenic emissions from fossil fuel and biomass burning activities have substantially perturbed and enhanced concentrations of <span class="hlt">aerosol</span> particles in the atmosphere. Global <span class="hlt">aerosol</span>-climate models (GCMs) have now been used to quantify the radiative forcing and effects of <span class="hlt">aerosols</span> on cirrus clouds (IPCC AR5). However, the estimate uncertainty is very large due to the different representation of ice cloud formation and evolution processes in GCMs. In addition, large discrepancies have been found between model simulations in terms of the spatial distribution of ice-nucleating <span class="hlt">aerosols</span>, relative humidity, and temperature fluctuations, which contribute to different estimates of the <span class="hlt">aerosol</span> indirect effect through cirrus clouds. In this presentation, four GCMs with the start-of-the art representations of cloud microphysics and <span class="hlt">aerosol</span>-cloud interactions are used to estimate the <span class="hlt">aerosol</span> indirect effects on cirrus clouds and to identify the causes of the discrepancies. The estimated global and annual mean anthropogenic <span class="hlt">aerosol</span> indirect effect through cirrus clouds ranges from 0.1 W m-2 to 0.3 W m-2 in terms of the top-of-the-atmosphere (TOA) net radiation flux, and 0.5-0.6 W m-2 for the TOA longwave flux. Despite the good agreement on global mean, large discrepancies are found at the regional scale. The physics behind the <span class="hlt">aerosol</span> indirect effect is dramatically different. Our analysis suggests that burden of ice-nucleating <span class="hlt">aerosols</span> in the upper troposphere, ice nucleation frequency, and relative role of ice formation processes (i.e., homogeneous versus heterogeneous nucleation) play key roles in determining the characteristics of the simulated <span class="hlt">aerosol</span> indirect effects. In addition to the indirect effect estimate, we also use field campaign</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2012ACPD...1229657D','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2012ACPD...1229657D"><span>Characterization of urban <span class="hlt">aerosol</span> in Cork City (Ireland) using <span class="hlt">aerosol</span> mass spectrometry</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Dall'Osto, M.; Ovadnevaite, J.; Ceburnis, D.; Martin, D.; Healy, R. M.; O'Connor, I. P.; Sodeau, J. R.; Wenger, J. C.; O'Dowd, C.</p> <p>2012-11-01</p> <p>Ambient wintertime background urban <span class="hlt">aerosol</span> in Cork City, Ireland, was characterized using <span class="hlt">aerosol</span> mass spectrometry. During the three-week measurement study in 2009, 93% of the 1 200 000 single particles characterized by an <span class="hlt">Aerosol</span> Time-Of-Flight Mass Spectrometer (TSI ATOFMS) were classified into five organic-rich particle types, internally-mixed to different proportions with Elemental Carbon (EC), sulphate and nitrate while the remaining 7% was predominantly inorganic in nature. Non-refractory PM1 <span class="hlt">aerosol</span> was also characterized using a High Resolution Time-Of-Flight Aerodyne <span class="hlt">Aerosol</span> Mass Spectrometer (HR-ToF-AMS) and was also found to comprise organic matter as the most abundant species (62%), followed by nitrate (15%), sulphate (9%) and ammonium (9%), and then chloride (5%). Positive matrix factorization (PMF) was applied to the HR-ToF-AMS organic matrix and a five-factor solution was found to describe the variance in the data well. Specifically, "Hydrocarbon-like" Organic <span class="hlt">Aerosol</span> (HOA) comprised 19% of the mass, "Oxygenated low volatility" Organic <span class="hlt">Aerosols</span> (LV-OOA) comprised 19%, "Biomass wood Burning" Organic <span class="hlt">Aerosol</span> (BBOA) comprised 23%, non-wood solid-fuel combustion "Peat and Coal" Organic <span class="hlt">Aerosol</span> (PCOA) comprised 21%, and finally, a species type characterized by primary m/z peaks at 41 and 55, similar to previously-reported "Cooking" Organic <span class="hlt">Aerosol</span> (COA) but possessing different diurnal variations to what would be expected for cooking activities, contributed 18%. Despite wood, cool and peat being minor fuel types used for domestic space heating in urban areas, their relatively low combustion efficiencies result in a significant contribution to PM1 <span class="hlt">aerosol</span> mass (44% and 28% of the total organic <span class="hlt">aerosols</span> mass and non refractory PM1, respectively).</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://ntrs.nasa.gov/search.jsp?R=20060035838&hterms=Ackerman&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAuthor-Name%26N%3D0%26No%3D60%26Ntt%3DAckerman','NASA-TRS'); return false;" href="https://ntrs.nasa.gov/search.jsp?R=20060035838&hterms=Ackerman&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAuthor-Name%26N%3D0%26No%3D60%26Ntt%3DAckerman"><span>Techniques for the Retrieval of <span class="hlt">Aerosol</span> Properties Over Land and Ocean Using Multi-angle <span class="hlt">Imaging</span></span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Martonchik, John V.; Diner, David J.; Kahn, Ralph; Ackerman, Thomas P.; Verstraete, Michel M.; Pinty, Bernard; Gordon, Howard R.</p> <p>1997-01-01</p> <p><span class="hlt">Aerosols</span> are believed to play a direct role in the radiation budget of Earth but their net radiative effect is not well established, particularly on regional scales. Whether <span class="hlt">aerosols</span> heat or cool a given location depends on their composition and column amount and also on the surface albedo, information that is not routinely available, especially over land.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2016EGUGA..18.4254P','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2016EGUGA..18.4254P"><span><span class="hlt">Aerosol</span> Climate Time Series in ESA <span class="hlt">Aerosol</span>_cci</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Popp, Thomas; de Leeuw, Gerrit; Pinnock, Simon</p> <p>2016-04-01</p> <p>Within the ESA Climate Change Initiative (CCI) <span class="hlt">Aerosol</span>_cci (2010 - 2017) conducts intensive work to improve algorithms for the retrieval of <span class="hlt">aerosol</span> information from European sensors. Meanwhile, full mission time series of 2 GCOS-required <span class="hlt">aerosol</span> parameters are completely validated and released: <span class="hlt">Aerosol</span> Optical Depth (AOD) from dual view ATSR-2 / AATSR radiometers (3 algorithms, 1995 - 2012), and stratospheric extinction profiles from star occultation GOMOS spectrometer (2002 - 2012). Additionally, a 35-year multi-sensor time series of the qualitative Absorbing <span class="hlt">Aerosol</span> Index (AAI) together with sensitivity information and an AAI model simulator is available. Complementary <span class="hlt">aerosol</span> properties requested by GCOS are in a "round robin" phase, where various algorithms are inter-compared: fine mode AOD, mineral dust AOD (from the thermal IASI spectrometer, but also from ATSR instruments and the POLDER sensor), absorption information and <span class="hlt">aerosol</span> layer height. As a quasi-reference for validation in few selected regions with sparse ground-based observations the multi-pixel GRASP algorithm for the POLDER instrument is used. Validation of first dataset versions (vs. AERONET, MAN) and inter-comparison to other satellite datasets (MODIS, MISR, SeaWIFS) proved the high quality of the available datasets comparable to other satellite retrievals and revealed needs for algorithm improvement (for example for higher AOD values) which were taken into account for a reprocessing. The datasets contain pixel level uncertainty estimates which were also validated and improved in the reprocessing. For the three ATSR algorithms the use of an ensemble method was tested. The paper will summarize and discuss the status of dataset reprocessing and validation. The focus will be on the ATSR, GOMOS and IASI datasets. Pixel level uncertainties validation will be summarized and discussed including unknown components and their potential usefulness and limitations. Opportunities for time series extension</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2015AMT.....8.4083L','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2015AMT.....8.4083L"><span>Towards a long-term global <span class="hlt">aerosol</span> optical depth record: applying a consistent <span class="hlt">aerosol</span> retrieval algorithm to MODIS and VIIRS-observed reflectance</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Levy, R. C.; Munchak, L. A.; Mattoo, S.; Patadia, F.; Remer, L. A.; Holz, R. E.</p> <p>2015-10-01</p> <p>To answer fundamental questions about <span class="hlt">aerosols</span> in our changing climate, we must quantify both the current state of <span class="hlt">aerosols</span> and how they are changing. Although NASA's Moderate Resolution <span class="hlt">Imaging</span> Spectroradiometer (MODIS) sensors have provided quantitative information about global <span class="hlt">aerosol</span> optical depth (AOD) for more than a decade, this period is still too short to create an <span class="hlt">aerosol</span> climate data record (CDR). The Visible Infrared <span class="hlt">Imaging</span> Radiometer Suite (VIIRS) was launched on the Suomi-NPP satellite in late 2011, with additional copies planned for future satellites. Can the MODIS <span class="hlt">aerosol</span> data record be continued with VIIRS to create a consistent CDR? When compared to ground-based AERONET data, the VIIRS Environmental Data Record (V_EDR) has similar validation statistics as the MODIS Collection 6 (M_C6) product. However, the V_EDR and M_C6 are offset in regards to global AOD magnitudes, and tend to provide different maps of 0.55 μm AOD and 0.55/0.86 μm-based Ångström Exponent (AE). One reason is that the retrieval algorithms are different. Using the Intermediate File Format (IFF) for both MODIS and VIIRS data, we have tested whether we can apply a single MODIS-like (ML) dark-target algorithm on both sensors that leads to product convergence. Except for catering the radiative transfer and <span class="hlt">aerosol</span> lookup tables to each sensor's specific wavelength bands, the ML algorithm is the same for both. We run the ML algorithm on both sensors between March 2012 and May 2014, and compare monthly mean AOD time series with each other and with M_C6 and V_EDR products. Focusing on the March-April-May (MAM) 2013 period, we compared additional statistics that include global and gridded 1° × 1° AOD and AE, histograms, sampling frequencies, and collocations with ground-based AERONET. Over land, use of the ML algorithm clearly reduces the differences between the MODIS and VIIRS-based AOD. However, although global offsets are near zero, some regional biases remain, especially in</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2015AMTD....8.6877L','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2015AMTD....8.6877L"><span>Towards a long-term global <span class="hlt">aerosol</span> optical depth record: applying a consistent <span class="hlt">aerosol</span> retrieval algorithm to MODIS and VIIRS-observed reflectance</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Levy, R. C.; Munchak, L. A.; Mattoo, S.; Patadia, F.; Remer, L. A.; Holz, R. E.</p> <p>2015-07-01</p> <p>To answer fundamental questions about <span class="hlt">aerosols</span> in our changing climate, we must quantify both the current state of <span class="hlt">aerosols</span> and how they are changing. Although NASA's Moderate resolution <span class="hlt">Imaging</span> Spectroradiometer (MODIS) sensors have provided quantitative information about global <span class="hlt">aerosol</span> optical depth (AOD) for more than a decade, this period is still too short to create an <span class="hlt">aerosol</span> climate data record (CDR). The Visible Infrared <span class="hlt">Imaging</span> Radiometer Suite (VIIRS) was launched on the Suomi-NPP satellite in late 2011, with additional copies planned for future satellites. Can the MODIS <span class="hlt">aerosol</span> data record be continued with VIIRS to create a consistent CDR? When compared to ground-based AERONET data, the VIIRS Environmental Data Record (V_EDR) has similar validation statistics as the MODIS Collection 6 (M_C6) product. However, the V_EDR and M_C6 are offset in regards to global AOD magnitudes, and tend to provide different maps of 0.55 μm AOD and 0.55/0.86 μm-based Ångstrom Exponent (AE). One reason is that the retrieval algorithms are different. Using the Intermediate File Format (IFF) for both MODIS and VIIRS data, we have tested whether we can apply a single MODIS-like (ML) dark-target algorithm on both sensors that leads to product convergence. Except for catering the radiative transfer and <span class="hlt">aerosol</span> lookup tables to each sensor's specific wavelength bands, the ML algorithm is the same for both. We run the ML algorithm on both sensors between March 2012 and May 2014, and compare monthly mean AOD time series with each other and with M_C6 and V_EDR products. Focusing on the March-April-May (MAM) 2013 period, we compared additional statistics that include global and gridded 1° × 1° AOD and AE, histograms, sampling frequencies, and collocations with ground-based AERONET. Over land, use of the ML algorithm clearly reduces the differences between the MODIS and VIIRS-based AOD. However, although global offsets are near zero, some regional biases remain, especially in</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2016AMT.....9.2877X','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2016AMT.....9.2877X"><span>Joint retrieval of <span class="hlt">aerosol</span> and water-leaving radiance from multispectral, multiangular and polarimetric measurements over ocean</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Xu, Feng; Dubovik, Oleg; Zhai, Peng-Wang; Diner, David J.; Kalashnikova, Olga V.; Seidel, Felix C.; Litvinov, Pavel; Bovchaliuk, Andrii; Garay, Michael J.; van Harten, Gerard; Davis, Anthony B.</p> <p>2016-07-01</p> <p>An optimization approach has been developed for simultaneous retrieval of <span class="hlt">aerosol</span> properties and normalized water-leaving radiance (nLw) from multispectral, multiangular, and polarimetric observations over ocean. The main features of the method are (1) use of a simplified bio-optical model to estimate nLw, followed by an empirical refinement within a specified range to improve its accuracy; (2) improved algorithm convergence and stability by applying constraints on the spatial smoothness of <span class="hlt">aerosol</span> loading and Chlorophyll a (Chl a) concentration across neighboring <span class="hlt">image</span> patches and spectral constraints on <span class="hlt">aerosol</span> optical properties and nLw across relevant bands; and (3) enhanced Jacobian calculation by modeling and storing the radiative transfer (RT) in <span class="hlt">aerosol</span>/Rayleigh mixed layer, pure Rayleigh-scattering layers, and ocean medium separately, then coupling them to calculate the field at the sensor. This approach avoids unnecessary and time-consuming recalculations of RT in unperturbed layers in Jacobian evaluations. The Markov chain method is used to model RT in the <span class="hlt">aerosol</span>/Rayleigh mixed layer and the doubling method is used for the uniform layers of the atmosphere-ocean system. Our optimization approach has been tested using radiance and polarization measurements acquired by the Airborne Multiangle SpectroPolarimetric <span class="hlt">Imager</span> (AirMSPI) over the AERONET USC_SeaPRISM ocean site (6 February 2013) and near the AERONET La Jolla site (14 January 2013), which, respectively, reported relatively high and low <span class="hlt">aerosol</span> loadings. Validation of the results is achieved through comparisons to AERONET <span class="hlt">aerosol</span> and ocean color products. For comparison, the USC_SeaPRISM retrieval is also performed by use of the Generalized Retrieval of <span class="hlt">Aerosol</span> and Surface Properties algorithm (Dubovik et al., 2011). Uncertainties of <span class="hlt">aerosol</span> and nLw retrievals due to random and systematic instrument errors are analyzed by truth-in/truth-out tests with three Chl a concentrations, five <span class="hlt">aerosol</span> loadings</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.ncbi.nlm.nih.gov/pubmed/19879288','PUBMED'); return false;" href="https://www.ncbi.nlm.nih.gov/pubmed/19879288"><span>Characterization of Florida red tide <span class="hlt">aerosol</span> and the temporal profile of <span class="hlt">aerosol</span> concentration.</span></a></p> <p><a target="_blank" href="https://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pubmed">PubMed</a></p> <p>Cheng, Yung Sung; Zhou, Yue; Pierce, Richard H; Henry, Mike; Baden, Daniel G</p> <p>2010-05-01</p> <p>Red tide <span class="hlt">aerosols</span> containing <span class="hlt">aerosolized</span> brevetoxins are produced during the red tide bloom and transported by wind to coastal areas of Florida. This study reports the characterization of Florida red tide <span class="hlt">aerosols</span> in human volunteer studies, in which an asthma cohort spent 1h on Siesta Beach (Sarasota, Florida) during <span class="hlt">aerosolized</span> red tide events and non-exposure periods. <span class="hlt">Aerosol</span> concentrations, brevetoxin levels, and particle size distribution were measured. Hourly filter samples were taken and analyzed for brevetoxin and NaCl concentrations. In addition, the <span class="hlt">aerosol</span> mass concentration was monitored in real time. The results indicated that during a non-exposure period in October 2004, no brevetoxin was detected in the water, resulting in non-detectable levels of brevetoxin in the <span class="hlt">aerosol</span>. In March 2005, the time-averaged concentrations of brevetoxins in water samples were moderate, in the range of 5-10 microg/L, and the corresponding brevetoxin level of Florida red tide <span class="hlt">aerosol</span> ranged between 21 and 39 ng/m(3). The temporal profiles of red tide <span class="hlt">aerosol</span> concentration in terms of mass, NaCl, and brevetoxin were in good agreement, indicating that NaCl and brevetoxins are components of the red tide <span class="hlt">aerosol</span>. By continuously monitoring the marine <span class="hlt">aerosol</span> and wind direction at Siesta Beach, we observed that the marine <span class="hlt">aerosol</span> concentration varied as the wind direction changed. The temporal profile of the Florida red tide <span class="hlt">aerosol</span> during a sampling period could be explained generally with the variation of wind direction. Copyright 2009 Elsevier Ltd. All rights reserved.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2016ACP....1613823E','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2016ACP....1613823E"><span>Single-particle investigation of summertime and wintertime Antarctic sea spray <span class="hlt">aerosols</span> using low-Z particle EPMA, Raman microspectrometry, and ATR-FTIR <span class="hlt">imaging</span> techniques</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Eom, Hyo-Jin; Gupta, Dhrubajyoti; Cho, Hye-Rin; Hwang, Hee Jin; Do Hur, Soon; Gim, Yeontae; Ro, Chul-Un</p> <p>2016-11-01</p> <p>Two <span class="hlt">aerosol</span> samples collected at King Sejong Korean scientific research station, Antarctica, on 9 December 2011 in the austral summer (sample S1) and 23 July 2012 in the austral winter (sample S2), when the oceanic chlorophyll a levels on the collection days of the samples were quite different, by ˜ 19 times (2.46 vs. 0.13 µg L-1, respectively), were investigated on a single-particle basis using quantitative energy-dispersive electron probe X-ray microanalysis (ED-EPMA), called low-Z particle EPMA, Raman microspectrometry (RMS), and attenuated total reflection Fourier transform infrared (ATR-FTIR) <span class="hlt">imaging</span> techniques to obtain their characteristics based on the elemental chemical compositions, molecular species, and mixing state. X-ray analysis showed that the supermicron summertime and wintertime Antarctic <span class="hlt">aerosol</span> samples have different elemental chemical compositions, even though all the individual particles analyzed were sea spray <span class="hlt">aerosols</span> (SSAs); i.e., the contents of C, O, Ca, S, and Si were more elevated, whereas Cl was more depleted, for sample S1 than for sample S2. Based on qualitative analysis of the chemical species present in individual SSAs by the combined application of RMS and ATR-FTIR <span class="hlt">imaging</span>, different organic species were observed in samples S1 and S2; i.e., Mg hydrate salts of alanine were predominant in samples S1 and S2, whereas Mg salts of fatty acids internally mixed with Mg hydrate salts of alanine were significant in sample S2. Although CaSO4 was observed significantly in both samples S1 and S2, other inorganic species, such as Na2SO4, NaNO3, Mg(NO3)2, SiO2, and CH3SO3Mg, were observed more significantly in sample S1, suggesting that those compounds may be related to the higher phytoplankton activity in summer.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://ntrs.nasa.gov/search.jsp?R=20020011017&hterms=validation+information&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D70%26Ntt%3Dvalidation%2Binformation','NASA-TRS'); return false;" href="https://ntrs.nasa.gov/search.jsp?R=20020011017&hterms=validation+information&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D70%26Ntt%3Dvalidation%2Binformation"><span>Results and Validation of MODIS <span class="hlt">Aerosol</span> Retrievals Over Land and Ocean</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Remer, Lorraine; Einaudi, Franco (Technical Monitor)</p> <p>2001-01-01</p> <p>The MODerate Resolution <span class="hlt">Imaging</span> Spectroradiometer (MODIS) instrument aboard the Terra spacecraft has been retrieving <span class="hlt">aerosol</span> parameters since late February 2000. Initial qualitative checking of the products showed very promising results including matching of land and ocean retrievals at coastlines. Using AERONET ground-based radiometers as our primary validation tool, we have established quantitative validation as well. Our results show that for most <span class="hlt">aerosol</span> types, the MODIS products fall within the pre-launch estimated uncertainties. Surface reflectance and <span class="hlt">aerosol</span> model assumptions appear to be sufficiently accurate for the optical thickness retrieval. Dust provides a possible exception, which may be due to non-spherical effects. Over ocean the MODIS products include information on particle size, and these parameters are also validated with AERONET retrievals.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://ntrs.nasa.gov/search.jsp?R=20010051277&hterms=validation+information&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D80%26Ntt%3Dvalidation%2Binformation','NASA-TRS'); return false;" href="https://ntrs.nasa.gov/search.jsp?R=20010051277&hterms=validation+information&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D80%26Ntt%3Dvalidation%2Binformation"><span>Results and Validation of MODIS <span class="hlt">Aerosol</span> Retrievals over Land and Ocean</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Remer, L. A.; Kaufman, Y. J.; Tanre, D.; Ichoku, C.; Chu, D. A.; Mattoo, S.; Levy, R.; Martins, J. V.; Li, R.-R.; Einaudi, Franco (Technical Monitor)</p> <p>2000-01-01</p> <p>The MODerate Resolution <span class="hlt">Imaging</span> Spectroradiometer (MODIS) instrument aboard the Terra spacecraft has been retrieving <span class="hlt">aerosol</span> parameters since late February 2000. Initial qualitative checking of the products showed very promising results including matching of land and ocean retrievals at coastlines. Using AERONET ground-based radiometers as our primary validation tool, we have established quantitative validation as well. Our results show that for most <span class="hlt">aerosol</span> types, the MODIS products fall within the pre-launch estimated uncertainties. Surface reflectance and <span class="hlt">aerosol</span> model assumptions appear to be sufficiently accurate for the optical thickness retrieval. Dust provides a possible exception, which may be due to non-spherical effects. Over ocean the MODIS products include information on particle size, and these parameters are also validated with AERONET retrievals.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://ntrs.nasa.gov/search.jsp?R=20160005005&hterms=space+based&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D40%26Ntt%3Dspace%2Bbased','NASA-TRS'); return false;" href="https://ntrs.nasa.gov/search.jsp?R=20160005005&hterms=space+based&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D40%26Ntt%3Dspace%2Bbased"><span>Space-Based Remote Sensing of Atmospheric <span class="hlt">Aerosols</span>: The Multi-Angle Spectro-Polarimetric Frontier</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Kokhanovsky, A. A.; Davis, A. B.; Cairns, B.; Dubovik, O.; Hasekamp, O. P.; Sano, I.; Mukai, S.; Rozanov, V. V.; Litvinov, P.; Lapyonok, T.; <a style="text-decoration: none; " href="javascript:void(0); " onClick="displayelement('author_20160005005'); toggleEditAbsImage('author_20160005005_show'); toggleEditAbsImage('author_20160005005_hide'); "> <img style="display:inline; width:12px; height:12px; " src="images/arrow-up.gif" width="12" height="12" border="0" alt="hide" id="author_20160005005_show"> <img style="width:12px; height:12px; display:none; " src="images/arrow-down.gif" width="12" height="12" border="0" alt="hide" id="author_20160005005_hide"></p> <p>2015-01-01</p> <p>The review of optical instrumentation, forward modeling, and inverse problem solution for the polarimetric <span class="hlt">aerosol</span> remote sensing from space is presented. The special emphasis is given to the description of current airborne and satellite <span class="hlt">imaging</span> polarimeters and also to modern satellite <span class="hlt">aerosol</span> retrieval algorithms based on the measurements of the Stokes vector of reflected solar light as detected on a satellite. Various underlying surface reflectance models are discussed and evaluated.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.pubmedcentral.nih.gov/articlerender.fcgi?tool=pmcentrez&artid=4589383','PMC'); return false;" href="https://www.pubmedcentral.nih.gov/articlerender.fcgi?tool=pmcentrez&artid=4589383"><span>Detecting Lung Diseases from Exhaled <span class="hlt">Aerosols</span>: Non-Invasive Lung Diagnosis Using Fractal Analysis and SVM Classification</span></a></p> <p><a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pmc">PubMed Central</a></p> <p>Xi, Jinxiang; Zhao, Weizhong; Yuan, Jiayao Eddie; Kim, JongWon; Si, Xiuhua; Xu, Xiaowei</p> <p>2015-01-01</p> <p>Background Each lung structure exhales a unique pattern of <span class="hlt">aerosols</span>, which can be used to detect and monitor lung diseases non-invasively. The challenges are accurately interpreting the exhaled <span class="hlt">aerosol</span> fingerprints and quantitatively correlating them to the lung diseases. Objective and Methods In this study, we presented a paradigm of an exhaled <span class="hlt">aerosol</span> test that addresses the above two challenges and is promising to detect the site and severity of lung diseases. This paradigm consists of two steps: <span class="hlt">image</span> feature extraction using sub-regional fractal analysis and data classification using a support vector machine (SVM). Numerical experiments were conducted to evaluate the feasibility of the breath test in four asthmatic lung models. A high-fidelity <span class="hlt">image</span>-CFD approach was employed to compute the exhaled <span class="hlt">aerosol</span> patterns under different disease conditions. Findings By employing the 10-fold cross-validation method, we achieved 100% classification accuracy among four asthmatic models using an ideal 108-sample dataset and 99.1% accuracy using a more realistic 324-sample dataset. The fractal-SVM classifier has been shown to be robust, highly sensitive to structural variations, and inherently suitable for investigating <span class="hlt">aerosol</span>-disease correlations. Conclusion For the first time, this study quantitatively linked the exhaled <span class="hlt">aerosol</span> patterns with their underlying diseases and set the stage for the development of a computer-aided diagnostic system for non-invasive detection of obstructive respiratory diseases. PMID:26422016</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://ntrs.nasa.gov/search.jsp?R=20110007129&hterms=extinction&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D20%26Ntt%3Dextinction','NASA-TRS'); return false;" href="https://ntrs.nasa.gov/search.jsp?R=20110007129&hterms=extinction&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D20%26Ntt%3Dextinction"><span>Using Airborne High Spectral Resolution Lidar Data to Evaluate Combined Active Plus Passive Retrievals of <span class="hlt">Aerosol</span> Extinction Profiles</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Burton, S. P.; Ferrare, R. A.; Hostetler, C. A.; Hair, J. W.; Kittaka, C.; Vaughn, M. A.; Remer, L. A.</p> <p>2010-01-01</p> <p>We derive <span class="hlt">aerosol</span> extinction profiles from airborne and space-based lidar backscatter signals by constraining the retrieval with column <span class="hlt">aerosol</span> optical thickness (AOT), with no need to rely on assumptions about <span class="hlt">aerosol</span> type or lidar ratio. The backscatter data were acquired by the NASA Langley Research Center airborne High Spectral Resolution Lidar (HSRL) and by the Cloud-<span class="hlt">Aerosol</span> Lidar with Orthogonal Polarization (CALIOP) instrument on the Cloud-<span class="hlt">Aerosol</span> Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) satellite. The HSRL also simultaneously measures <span class="hlt">aerosol</span> extinction coefficients independently using the high spectral resolution lidar technique, thereby providing an ideal data set for evaluating the retrieval. We retrieve <span class="hlt">aerosol</span> extinction profiles from both HSRL and CALIOP attenuated backscatter data constrained with HSRL, Moderate-Resolution <span class="hlt">Imaging</span> Spectroradiometer (MODIS), and Multiangle <span class="hlt">Imaging</span> Spectroradiometer column AOT. The resulting profiles are compared with the <span class="hlt">aerosol</span> extinction measured by HSRL. Retrievals are limited to cases where the column <span class="hlt">aerosol</span> thickness is greater than 0.2 over land and 0.15 over water. In the case of large AOT, the results using the Aqua MODIS constraint over water are poorer than Aqua MODIS over land or Terra MODIS. The poorer results relate to an apparent bias in Aqua MODIS AOT over water observed in August 2007. This apparent bias is still under investigation. Finally, <span class="hlt">aerosol</span> extinction coefficients are derived from CALIPSO backscatter data using AOT from Aqua MODIS for 28 profiles over land and 9 over water. They agree with coincident measurements by the airborne HSRL to within +/-0.016/km +/- 20% for at least two-thirds of land points and within +/-0.028/km +/- 20% for at least two-thirds of ocean points.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2013JQSRT.125...93C','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2013JQSRT.125...93C"><span>The optical properties of absorbing <span class="hlt">aerosols</span> with fractal soot aggregates: Implications for <span class="hlt">aerosol</span> remote sensing</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Cheng, Tianhai; Gu, Xingfa; Wu, Yu; Chen, Hao; Yu, Tao</p> <p>2013-08-01</p> <p>Applying sphere <span class="hlt">aerosol</span> models to replace the absorbing fine-sized dominated <span class="hlt">aerosols</span> can potentially result in significant errors in the climate models and <span class="hlt">aerosol</span> remote sensing retrieval. In this paper, the optical properties of absorbing fine-sized dominated <span class="hlt">aerosol</span> were modeled, which are taking into account the fresh emitted soot particles (agglomerates of primary spherules), aged soot particles (semi-externally mixed with other weakly absorbing <span class="hlt">aerosols</span>), and coarse <span class="hlt">aerosol</span> particles (dust particles). The optical properties of the individual fresh and aged soot aggregates are calculated using the superposition T-matrix method. In order to quantify the morphology effect of absorbing <span class="hlt">aerosol</span> models on the <span class="hlt">aerosol</span> remote sensing retrieval, the ensemble averaged optical properties of absorbing fine-sized dominated <span class="hlt">aerosols</span> are calculated based on the size distribution of fine <span class="hlt">aerosols</span> (fresh and aged soot) and coarse <span class="hlt">aerosols</span>. The corresponding optical properties of sphere absorbing <span class="hlt">aerosol</span> models using Lorenz-Mie solutions were presented for comparison. The comparison study demonstrates that the sphere absorbing <span class="hlt">aerosol</span> models underestimate the absorption ability of the fine-sized dominated <span class="hlt">aerosol</span> particles. The morphology effect of absorbing fine-sized dominated <span class="hlt">aerosols</span> on the TOA radiances and polarized radiances is also investigated. It is found that the sphere <span class="hlt">aerosol</span> models overestimate the TOA reflectance and polarized reflectance by approximately a factor of 3 at wavelength of 0.865 μm. In other words, the fine-sized dominated <span class="hlt">aerosol</span> models can cause large errors in the retrieved <span class="hlt">aerosol</span> properties if satellite reflectance measurements are analyzed using the conventional Mie theory for spherical particles.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2014AGUFM.A11I3110Z','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2014AGUFM.A11I3110Z"><span>Evaluation of VIIRS AOD over North China Plain: biases from <span class="hlt">aerosol</span> models</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Zhu, J.; Xia, X.; Wang, J.; Chen, H.; Zhang, J.; Oo, M. M.; Holz, R.</p> <p>2014-12-01</p> <p>With the launch of the Visible Infrared <span class="hlt">Imaging</span> Radiometer Suit (VIIRS) instrument onboard Suomi National Polar-orbiting Partnership(S-NPP) in late 2011, the <span class="hlt">aerosol</span> products of VIIRS are receiving much attention.To date, mostevaluations of VIIRS <span class="hlt">aerosol</span> productswere carried out about <span class="hlt">aerosol</span> optical depth (AOD). To further assess the VIIRS AOD in China which is a heavy polluted region in the world,we made a comparison between VIIRS AOD and CE-318 radiometerobservation at the following three sites overNorth China Plain (NCP): metropolis-Beijing (AERONET), suburbs-XiangHe (AERONET) and regional background site- Xinglong (CARSNET).The results showed the VIIRS AOD at 550 nm has a positive mean bias error (MBE) of 0.14-0.15 and root mean square error (RMBE) 0.20. Among three sites, Beijing is mainly a source of bias with MBE 0.17-0.18 and RMBE 0.23-0.24, and this bias is larger than some recent global statics recently published in the literature. Further analysis shows that this large bias in VIIRS AOD overNCP may be partly caused by the <span class="hlt">aerosol</span> model selection in VIIRS <span class="hlt">aerosol</span> inversion. According to the retrieval of sky radiance from CE-318 at three sites, <span class="hlt">aerosols</span> in NCP have high mean real part of refractive indices (1.52-1.53), large volume mean radius (0.17-0.18) and low concentration (0.04-0.09) of fine <span class="hlt">aerosol</span>, and small mean radius (2.86-2.92) and high concentration (0.06-0.16) of coarse mode <span class="hlt">aerosol</span>. These observation-based <span class="hlt">aerosol</span> single scattering properties and size of fine and coarse <span class="hlt">aerosols</span> differ fromthe <span class="hlt">aerosol</span> properties used in VIIRSoperational algorithm.The dominant <span class="hlt">aerosol</span> models used in VIIRS algorithm for these three sites are less polluted urban <span class="hlt">aerosol</span> in Beijing and low-absorption smoke in other two sites, all of which don't agree with the high imaginary part of refractive indices from CE-318 retrieval. Therefore, the <span class="hlt">aerosol</span> models in VIIRS algorithm are likely to be refined in NCP region.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20150023480','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20150023480"><span>MATRIX-VBS Condensing Organic <span class="hlt">Aerosols</span> in an <span class="hlt">Aerosol</span> Microphysics Model</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Gao, Chloe Y.; Tsigaridis, Konstas; Bauer, Susanne E.</p> <p>2015-01-01</p> <p>The condensation of organic <span class="hlt">aerosols</span> is represented in a newly developed box-model scheme, where its effect on the growth and composition of particles are examined. We implemented the volatility-basis set (VBS) framework into the <span class="hlt">aerosol</span> mixing state resolving microphysical scheme Multiconfiguration <span class="hlt">Aerosol</span> TRacker of mIXing state (MATRIX). This new scheme is unique and advances the representation of organic <span class="hlt">aerosols</span> in models in that, contrary to the traditional treatment of organic <span class="hlt">aerosols</span> as non-volatile in most climate models and in the original version of MATRIX, this new scheme treats them as semi-volatile. Such treatment is important because low-volatility organics contribute significantly to the growth of particles. The new scheme includes several classes of semi-volatile organic compounds from the VBS framework that can partition among <span class="hlt">aerosol</span> populations in MATRIX, thus representing the growth of particles via condensation of low volatility organic vapors. Results from test cases representing Mexico City and a Finish forrest condistions show good representation of the time evolutions of concentration for VBS species in the gas phase and in the condensed particulate phase. Emitted semi-volatile primary organic <span class="hlt">aerosols</span> evaporate almost completely in the high volatile range, and they condense more efficiently in the low volatility range.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.osti.gov/biblio/7033854-relationship-between-fluid-bed-aerosol-generator-operation-aerosol-produced','SCIGOV-STC'); return false;" href="https://www.osti.gov/biblio/7033854-relationship-between-fluid-bed-aerosol-generator-operation-aerosol-produced"><span>Relationship between fluid bed <span class="hlt">aerosol</span> generator operation and the <span class="hlt">aerosol</span> produced</span></a></p> <p><a target="_blank" href="http://www.osti.gov/search">DOE Office of Scientific and Technical Information (OSTI.GOV)</a></p> <p>Carpenter, R.L.; Yerkes, K.</p> <p>1980-12-01</p> <p>The relationships between bed operation in a fluid bed <span class="hlt">aerosol</span> generator and <span class="hlt">aerosol</span> output were studied. A two-inch diameter fluid bed <span class="hlt">aerosol</span> generator (FBG) was constructed using stainless steel powder as a fluidizing medium. Fly ash from coal combustion was <span class="hlt">aerosolized</span> and the influence of FBG operating parameters on <span class="hlt">aerosol</span> mass median aerodynamic diameter (MMAD), geometric standard deviation (sigma/sub g/) and concentration was examined. In an effort to extend observations on large fluid beds to small beds using fine bed particles, minimum fluidizing velocities and elutriation constant were computed. Although FBG minimum fluidizing velocity agreed well with calculations, FBG elutriationmore » constant did not. The results of this study show that the properties of <span class="hlt">aerosols</span> produced by a FBG depend on fluid bed height and air flow through the bed after the minimum fluidizing velocity is exceeded.« less</p> </li> </ol> <div class="pull-right"> <ul class="pagination"> <li><a href="#" onclick='return showDiv("page_1");'>«</a></li> <li><a href="#" onclick='return showDiv("page_20");'>20</a></li> <li><a href="#" onclick='return showDiv("page_21");'>21</a></li> <li class="active"><span>22</span></li> <li><a href="#" onclick='return showDiv("page_23");'>23</a></li> <li><a href="#" onclick='return showDiv("page_24");'>24</a></li> <li><a href="#" onclick='return showDiv("page_25");'>»</a></li> </ul> </div> </div><!-- col-sm-12 --> </div><!-- row --> </div><!-- page_22 --> <div id="page_23" class="hiddenDiv"> <div class="row"> <div class="col-sm-12"> <div class="pull-right"> <ul class="pagination"> <li><a href="#" onclick='return showDiv("page_1");'>«</a></li> <li><a href="#" onclick='return showDiv("page_21");'>21</a></li> <li><a href="#" onclick='return showDiv("page_22");'>22</a></li> <li class="active"><span>23</span></li> <li><a href="#" onclick='return showDiv("page_24");'>24</a></li> <li><a href="#" onclick='return showDiv("page_25");'>25</a></li> <li><a href="#" onclick='return showDiv("page_25");'>»</a></li> </ul> </div> </div> </div> <div class="row"> <div class="col-sm-12"> <ol class="result-class" start="441"> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2018ACP....18.2511M','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2018ACP....18.2511M"><span>XBAER-derived <span class="hlt">aerosol</span> optical thickness from OLCI/Sentinel-3 observation</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Mei, Linlu; Rozanov, Vladimir; Vountas, Marco; Burrows, John P.; Richter, Andreas</p> <p>2018-02-01</p> <p>A cloud identification algorithm used for cloud masking, which is based on the spatial variability of reflectances at the top of the atmosphere in visible wavelengths, has been developed for the retrieval of <span class="hlt">aerosol</span> properties by MODIS. It is shown that the spatial pattern of cloud reflectance, as observed from space, is very different from that of <span class="hlt">aerosols</span>. Clouds show a high spatial variability in the scale of a hundred metres to a few kilometres, whereas <span class="hlt">aerosols</span> in general are homogeneous. The concept of spatial variability of reflectances at the top of the atmosphere is mainly applicable over the ocean, where the surface background is sufficiently homogeneous for the separation between <span class="hlt">aerosols</span> and clouds. <span class="hlt">Aerosol</span> retrievals require a sufficiently accurate cloud identification to be able to mask these ground scenes. However, a conservative mask will exclude strong <span class="hlt">aerosol</span> episodes and a less conservative mask could introduce cloud contamination that biases the retrieved <span class="hlt">aerosol</span> optical properties (e.g. <span class="hlt">aerosol</span> optical depth and effective radii). A detailed study on the effect of cloud contamination on <span class="hlt">aerosol</span> retrievals has been performed and parameters are established determining the threshold value for the MODIS <span class="hlt">aerosol</span> cloud mask (3×3-STD) over the ocean. The 3×3-STD algorithm discussed in this paper is the operational cloud mask used for MODIS <span class="hlt">aerosol</span> retrievals over the ocean.A prolonged pollution haze event occurred in the northeast part of China during the period 16-21 December 2016. To assess the impact of such events, the amounts and distribution of <span class="hlt">aerosol</span> particles, formed in such events, need to be quantified. The newly launched Ocean Land Colour Instrument (OLCI) onboard Sentinel-3 is the successor of the MEdium Resolution <span class="hlt">Imaging</span> Spectrometer (MERIS). It provides measurements of the radiance and reflectance at the top of the atmosphere, which can be used to retrieve the <span class="hlt">aerosol</span> optical thickness (AOT) from synoptic to global scales. In this</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20120011689','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20120011689"><span>Global Atmospheric <span class="hlt">Aerosol</span> Modeling</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Hendricks, Johannes; Aquila, Valentina; Righi, Mattia</p> <p>2012-01-01</p> <p>Global <span class="hlt">aerosol</span> models are used to study the distribution and properties of atmospheric <span class="hlt">aerosol</span> particles as well as their effects on clouds, atmospheric chemistry, radiation, and climate. The present article provides an overview of the basic concepts of global atmospheric <span class="hlt">aerosol</span> modeling and shows some examples from a global <span class="hlt">aerosol</span> simulation. Particular emphasis is placed on the simulation of <span class="hlt">aerosol</span> particles and their effects within global climate models.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2015AGUFM.A23L..03P','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2015AGUFM.A23L..03P"><span><span class="hlt">Aerosol</span> Climate Time Series Evaluation In ESA <span class="hlt">Aerosol</span>_cci</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Popp, T.; de Leeuw, G.; Pinnock, S.</p> <p>2015-12-01</p> <p>Within the ESA Climate Change Initiative (CCI) <span class="hlt">Aerosol</span>_cci (2010 - 2017) conducts intensive work to improve algorithms for the retrieval of <span class="hlt">aerosol</span> information from European sensors. By the end of 2015 full mission time series of 2 GCOS-required <span class="hlt">aerosol</span> parameters are completely validated and released: <span class="hlt">Aerosol</span> Optical Depth (AOD) from dual view ATSR-2 / AATSR radiometers (3 algorithms, 1995 - 2012), and stratospheric extinction profiles from star occultation GOMOS spectrometer (2002 - 2012). Additionally, a 35-year multi-sensor time series of the qualitative Absorbing <span class="hlt">Aerosol</span> Index (AAI) together with sensitivity information and an AAI model simulator is available. Complementary <span class="hlt">aerosol</span> properties requested by GCOS are in a "round robin" phase, where various algorithms are inter-compared: fine mode AOD, mineral dust AOD (from the thermal IASI spectrometer), absorption information and <span class="hlt">aerosol</span> layer height. As a quasi-reference for validation in few selected regions with sparse ground-based observations the multi-pixel GRASP algorithm for the POLDER instrument is used. Validation of first dataset versions (vs. AERONET, MAN) and inter-comparison to other satellite datasets (MODIS, MISR, SeaWIFS) proved the high quality of the available datasets comparable to other satellite retrievals and revealed needs for algorithm improvement (for example for higher AOD values) which were taken into account for a reprocessing. The datasets contain pixel level uncertainty estimates which are also validated. The paper will summarize and discuss the results of major reprocessing and validation conducted in 2015. The focus will be on the ATSR, GOMOS and IASI datasets. Pixel level uncertainties validation will be summarized and discussed including unknown components and their potential usefulness and limitations. Opportunities for time series extension with successor instruments of the Sentinel family will be described and the complementarity of the different satellite <span class="hlt">aerosol</span> products</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.ncbi.nlm.nih.gov/pubmed/15074425','PUBMED'); return false;" href="https://www.ncbi.nlm.nih.gov/pubmed/15074425"><span>Sun and aureole spectrometer for airborne measurements to derive <span class="hlt">aerosol</span> optical properties.</span></a></p> <p><a target="_blank" href="https://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pubmed">PubMed</a></p> <p>Asseng, Hagen; Ruhtz, Thomas; Fischer, Jürgen</p> <p>2004-04-01</p> <p>We have designed an airborne spectrometer system for the simultaneous measurement of the direct Sun irradiance and aureole radiance. The instrument is based on diffraction grating spectrometers with linear <span class="hlt">image</span> sensors. It is robust, lightweight, compact, and reliable, characteristics that are important for airborne applications. The multispectral radiation measurements are used to derive optical properties of tropospheric <span class="hlt">aerosols</span>. We extract the altitude dependence of the <span class="hlt">aerosol</span> volume scattering function and of the <span class="hlt">aerosol</span> optical depth by using flight patterns with descents and ascents ranging from the surface level to the top of the boundary layer. The extinction coefficient and the product of single scattering albedo and phase function of separate layers can be derived from the airborne measurements.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://ntrs.nasa.gov/search.jsp?R=20040012777&hterms=vertical+height&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D40%26Ntt%3Dvertical%2Bheight','NASA-TRS'); return false;" href="https://ntrs.nasa.gov/search.jsp?R=20040012777&hterms=vertical+height&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D40%26Ntt%3Dvertical%2Bheight"><span>Observations of Dust Using the NASA Geoscience Laser Altimeter System (GLAS): New New Measurements of <span class="hlt">Aerosol</span> Vertical Distribution From Space</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Welton, Ellsworth; Spinhirne, James D.; Palm, Steven P.; Hlavka, Dennis; Hart, William</p> <p>2003-01-01</p> <p>On January 12, 2003 NASA launched the first satellite-based lidar, the Geoscience Laser -Altimeter System (GLAS), onboard the ICESat spacecraft. The GLAS atmospheric measurements introduce a fundamentally new and important tool for understanding the atmosphere and climate. In the past, <span class="hlt">aerosols</span> have only been studied from space using <span class="hlt">images</span> gathered by passive sensors. Analysis of this passive data has lead to an improved understanding of <span class="hlt">aerosol</span> properties, spatial distribution, and their effect on the earth's climate. However, these <span class="hlt">images</span> do not show the <span class="hlt">aerosol</span>'s vertical distribution. As a result, a key piece of information has been missing. The measurements now obtained by GLAS will provide information on the vertical distribution of <span class="hlt">aerosols</span> and clouds, and improve our ability to study their transport processes and <span class="hlt">aerosol</span>-cloud interactions. Here we show an overview of GLAS, provide an update of its current status, and present initial observations of dust profiles. In particular, a strategy of characterizing the height profile of dust plumes over source regions will be presented.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2012AGUFM.A41K..01F','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2012AGUFM.A41K..01F"><span>Evaluating <span class="hlt">Aerosol</span> Process Modules within the Framework of the <span class="hlt">Aerosol</span> Modeling Testbed</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Fast, J. D.; Velu, V.; Gustafson, W. I.; Chapman, E.; Easter, R. C.; Shrivastava, M.; Singh, B.</p> <p>2012-12-01</p> <p>Factors that influence predictions of <span class="hlt">aerosol</span> direct and indirect forcing, such as <span class="hlt">aerosol</span> mass, composition, size distribution, hygroscopicity, and optical properties, still contain large uncertainties in both regional and global models. New <span class="hlt">aerosol</span> treatments are usually implemented into a 3-D atmospheric model and evaluated using a limited number of measurements from a specific case study. Under this modeling paradigm, the performance and computational efficiency of several treatments for a specific <span class="hlt">aerosol</span> process cannot be adequately quantified because many other processes among various modeling studies (e.g. grid configuration, meteorology, emission rates) are different as well. The scientific community needs to know the advantages and disadvantages of specific <span class="hlt">aerosol</span> treatments when the meteorology, chemistry, and other <span class="hlt">aerosol</span> processes are identical in order to reduce the uncertainties associated with <span class="hlt">aerosols</span> predictions. To address these issues, an <span class="hlt">Aerosol</span> Modeling Testbed (AMT) has been developed that systematically and objectively evaluates new <span class="hlt">aerosol</span> treatments for use in regional and global models. The AMT consists of the modular Weather Research and Forecasting (WRF) model, a series testbed cases for which extensive in situ and remote sensing measurements of meteorological, trace gas, and <span class="hlt">aerosol</span> properties are available, and a suite of tools to evaluate the performance of meteorological, chemical, <span class="hlt">aerosol</span> process modules. WRF contains various parameterizations of meteorological, chemical, and <span class="hlt">aerosol</span> processes and includes interactive <span class="hlt">aerosol</span>-cloud-radiation treatments similar to those employed by climate models. In addition, the physics suite from the Community Atmosphere Model version 5 (CAM5) have also been ported to WRF so that they can be tested at various spatial scales and compared directly with field campaign data and other parameterizations commonly used by the mesoscale modeling community. Data from several campaigns, including the 2006</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2016GMD.....9.1489L','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2016GMD.....9.1489L"><span>An 11-year global gridded <span class="hlt">aerosol</span> optical thickness reanalysis (v1.0) for atmospheric and climate sciences</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Lynch, Peng; Reid, Jeffrey S.; Westphal, Douglas L.; Zhang, Jianglong; Hogan, Timothy F.; Hyer, Edward J.; Curtis, Cynthia A.; Hegg, Dean A.; Shi, Yingxi; Campbell, James R.; Rubin, Juli I.; Sessions, Walter R.; Turk, F. Joseph; Walker, Annette L.</p> <p>2016-04-01</p> <p>While stand alone satellite and model <span class="hlt">aerosol</span> products see wide utilization, there is a significant need in numerous atmospheric and climate applications for a fused product on a regular grid. <span class="hlt">Aerosol</span> data assimilation is an operational reality at numerous centers, and like meteorological reanalyses, <span class="hlt">aerosol</span> reanalyses will see significant use in the near future. Here we present a standardized 2003-2013 global 1 × 1° and 6-hourly modal <span class="hlt">aerosol</span> optical thickness (AOT) reanalysis product. This data set can be applied to basic and applied Earth system science studies of significant <span class="hlt">aerosol</span> events, <span class="hlt">aerosol</span> impacts on numerical weather prediction, and electro-optical propagation and sensor performance, among other uses. This paper describes the science of how to develop and score an <span class="hlt">aerosol</span> reanalysis product. This reanalysis utilizes a modified Navy <span class="hlt">Aerosol</span> Analysis and Prediction System (NAAPS) at its core and assimilates quality controlled retrievals of AOT from the Moderate Resolution <span class="hlt">Imaging</span> Spectroradiometer (MODIS) on Terra and Aqua and the Multi-angle <span class="hlt">Imaging</span> SpectroRadiometer (MISR) on Terra. The <span class="hlt">aerosol</span> source functions, including dust and smoke, were regionally tuned to obtain the best match between the model fine- and coarse-mode AOTs and the <span class="hlt">Aerosol</span> Robotic Network (AERONET) AOTs. Other model processes, including deposition, were tuned to minimize the AOT difference between the model and satellite AOT. <span class="hlt">Aerosol</span> wet deposition in the tropics is driven with satellite-retrieved precipitation, rather than the model field. The final reanalyzed fine- and coarse-mode AOT at 550 nm is shown to have good agreement with AERONET observations, with global mean root mean square error around 0.1 for both fine- and coarse-mode AOTs. This paper includes a discussion of issues particular to <span class="hlt">aerosol</span> reanalyses that make them distinct from standard meteorological reanalyses, considerations for extending such a reanalysis outside of the NASA A-Train era, and examples of how</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.ncbi.nlm.nih.gov/pubmed/25017412','PUBMED'); return false;" href="https://www.ncbi.nlm.nih.gov/pubmed/25017412"><span>Improvement of <span class="hlt">aerosol</span> optical properties modeling over Eastern Asia with MODIS AOD assimilation in a global non-hydrostatic icosahedral <span class="hlt">aerosol</span> transport model.</span></a></p> <p><a target="_blank" href="https://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pubmed">PubMed</a></p> <p>Dai, Tie; Schutgens, Nick A J; Goto, Daisuke; Shi, Guangyu; Nakajima, Teruyuki</p> <p>2014-12-01</p> <p>A new global <span class="hlt">aerosol</span> assimilation system adopting a more complex icosahedral grid configuration is developed. Sensitivity tests for the assimilation system are performed utilizing satellite retrieved <span class="hlt">aerosol</span> optical depth (AOD) from the Moderate Resolution <span class="hlt">Imaging</span> Spectroradiometer (MODIS), and the results over Eastern Asia are analyzed. The assimilated results are validated through independent <span class="hlt">Aerosol</span> Robotic Network (AERONET) observations. Our results reveal that the ensemble and local patch sizes have little effect on the assimilation performance, whereas the ensemble perturbation method has the largest effect. Assimilation leads to significantly positive effect on the simulated AOD field, improving agreement with all of the 12 AERONET sites over the Eastern Asia based on both the correlation coefficient and the root mean square difference (assimilation efficiency). Meanwhile, better agreement of the Ångström Exponent (AE) field is achieved for 8 of the 12 sites due to the assimilation of AOD only. Copyright © 2014 Elsevier Ltd. All rights reserved.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2013EGUGA..15.6072D','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2013EGUGA..15.6072D"><span>Overview of 3D-TRACE, a NASA Initiative in Three-Dimensional Tomography of the <span class="hlt">Aerosol</span>-Cloud Environment</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Davis, Anthony; Diner, David; Yanovsky, Igor; Garay, Michael; Xu, Feng; Bal, Guillaume; Schechner, Yoav; Aides, Amit; Qu, Zheng; Emde, Claudia</p> <p>2013-04-01</p> <p>Remote sensing is a key tool for sorting cloud ensembles by dynamical state, <span class="hlt">aerosol</span> environments by source region, and establishing causal relationships between <span class="hlt">aerosol</span> amounts, type, and cloud microphysics-the so-called indirect <span class="hlt">aerosol</span> climate impacts, and one of the main sources of uncertainty in current climate models. Current satellite <span class="hlt">imagers</span> use data processing approaches that invariably start with cloud detection/masking to isolate <span class="hlt">aerosol</span> air-masses from clouds, and then rely on one-dimensional (1D) radiative transfer (RT) to interpret the <span class="hlt">aerosol</span> and cloud measurements in isolation. Not only does this lead to well-documented biases for the estimates of <span class="hlt">aerosol</span> radiative forcing and cloud optical depths in current missions, but it is fundamentally inadequate for future missions such as EarthCARE where capturing the complex, three-dimensional (3D) interactions between clouds and <span class="hlt">aerosols</span> is a primary objective. In order to advance the state of the art, the next generation of satellite information processing systems must incorporate technologies that will enable the treatment of the atmosphere as a fully 3D environment, represented more realistically as a continuum. At one end, there is an optically thin background dominated by <span class="hlt">aerosols</span> and molecular scattering that is strongly stratified and relatively homogeneous in the horizontal. At the other end, there are optically thick embedded elements, clouds and <span class="hlt">aerosol</span> plumes, which can be more or less uniform and quasi-planar or else highly 3D with boundaries in all directions; in both cases, strong internal variability may be present. To make this paradigm shift possible, we propose to combine the standard models for satellite signal prediction physically grounded in 1D and 3D RT, both scalar and vector, with technologies adapted from biomedical <span class="hlt">imaging</span>, digital <span class="hlt">image</span> processing, and computer vision. This will enable us to demonstrate how the 3D distribution of atmospheric constituents, and their associated</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20170002376','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20170002376"><span>A New Type of Foreign Clast in A Polymict Ureilite: A <span class="hlt">CAI</span> or AL-Rich Chondrule</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Goodrich, C. A.; Ross, D. K.; Treiman, A. H.</p> <p>2017-01-01</p> <p>Introduction: Polymict ureilites are breccias interpreted to represent regolith formed on a ureilitic asteroid [1-3]. They consist of approximately 90-95% clasts of various ureilite types (olivine-pyroxene rocks with Fo 75-95), a few % indigenous feldspathic clasts, and a few % foreign clasts [4-20]. The foreign clasts are diverse, including fragments of H, L, LL and R chondrites, angrites, other achondrites, and dark clasts similar to CC [6,7,9-19]. We report a new type of foreign clast in polymict ureilite DaG 999. Methods: Clast 8 in Dar al Gani (DaG) 999/1 (Museum fur Naturkunde) was discovered during a survey of feldspathic clasts in polymict ureilites [19,20]. It was studied by BEI, EMPA, and X-ray mapping on the JEOL 8530F electron microprobe at ARES, JSC. Petrography and Mineral Compositions: Clast 8 is sub-rounded to irregular in shape, approximately 85 micrometers in diameter, and consists of approximately 68% pyroxene and 32% mesostasis (by area). Part of the pyroxene (top half of clast in Fig. 1a and 2) shows a coarse dendritic morphology; the rest appears massive. Mesostasis may be glassy and contains fine needles/grains of pyroxene. The pyroxene has very high CaO (23.5 wt.%) and Al2O3 (19.7 wt.%), with the formula: (Ca(0.91)Mg(0.63)Fe(0.01)Al(sup VI) (0.38)Cr(0.01)Ti(0.05)1.99 Si2O6. The bulk mesostasis also has very high Al2O3 (approximately 26 wt.%). A bulk composition for the clast was obtained by combining modal abundances with phase compositions (Table 1, Fig. 3). Discussion: The pyroxene in clast 8 has a Ca-Al-(Ti)- rich (fassaitic) composition that is clearly distinct from compositions of pyroxenes in main group ureilites [22] or indigenous feldspathic clasts in polymict ureilites [4-8]. It also has significantly higher Al than fassaite in angrites (up to approximately 12 wt.% [23]), which occur as xenoliths in polymict ureilites. Ca-Al-Ti rich pyroxenes are most commonly found in <span class="hlt">CAIs</span>, Al-rich chondrules and other types of refractory</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017AGUFM.A11C1887G','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017AGUFM.A11C1887G"><span>Observations of <span class="hlt">Aerosol</span>-Cloud Interactions with Varying Vertical Separation between Biomass-Burning <span class="hlt">Aerosols</span> and Stratocumulus Clouds over the South East Atlantic</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Gupta, S.; McFarquhar, G. M.; Poellot, M.; O'Brien, J.; Delene, D. J.; Thornhill, K. L., II</p> <p>2017-12-01</p> <p>The ObseRvations of <span class="hlt">Aerosols</span> above Clouds and their intEractionS (ORACLES) 2016 project provided in-situ measurements and remotely sensed retrievals of <span class="hlt">aerosol</span> and cloud properties over the South East Atlantic during September, 2016 with a second deployment scheduled for August, 2017. Biomass burning <span class="hlt">aerosol</span> from Southern Africa is advected toward the South East Atlantic at elevated altitudes and overlies the ubiquitous stratocumulus cloud deck over the ocean. The <span class="hlt">aerosols</span> subside farther from the coast so that the vertical displacement between the clouds and <span class="hlt">aerosols</span> varies, and whose effect on <span class="hlt">aerosol</span>-cloud interaction is poorly known. A NASA P-3 aircraft was equipped with a Cloud Droplet Probe CDP sizing particles between 2 and 50μm, a Cloud and <span class="hlt">Aerosol</span> Spectrometer CAS sizing between 0.51 and 50 μm and a 2D-stereo probe 2DS, nominally sizing between 10 and 1280 μm a Cloud <span class="hlt">Imaging</span> Probe CIP, from 25 to 1600μm, and a High Volume Precipitation Sampler HVPS-3, from 150μm to 1.92cm for measuring number distribution functions (n(D)) along with a King probe for measuring liquid water content, LWC. A Passive Cavity <span class="hlt">Aerosol</span> Spectrometer Probe PCASP measured <span class="hlt">aerosol</span> particles between 0.1 to 3μm. Cloud legs from three research flights are classified into different regimes based on the <span class="hlt">aerosol</span> concentration measured in the accumulation mode by the PCASP (Na) and its location above clouds. These legs include vertical transects through clouds and sawtooths (ramped legs starting above or below the cloud layer, completing a vertical transect through the cloud and repeating this pattern for several legs). The regimes; clean, mixing and separated, correspond to conditions with Na less than 100 cm-3 above cloud top, Na greater than 100 cm-3 within 100 m above cloud top and Na greater than 100 cm-3 separated from the cloud top by more than 100 m. During the mixing regime, measurements from CAS and 2DS show that droplet concentrations and cloud optical depths increased and</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2016SPIE.9876E..1CG','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2016SPIE.9876E..1CG"><span><span class="hlt">Aerosol</span> optical properties over the Svalbard region of Arctic: ground-based measurements and satellite remote sensing</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Gogoi, Mukunda M.; Babu, S. Suresh</p> <p>2016-05-01</p> <p>In view of the increasing anthropogenic presence and influence of <span class="hlt">aerosols</span> in the northern polar regions, long-term continuous measurements of <span class="hlt">aerosol</span> optical parameters have been investigated over the Svalbard region of Norwegian Arctic (Ny-Ålesund, 79°N, 12°E, 8 m ASL). This study has shown a consistent enhancement in the <span class="hlt">aerosol</span> scattering and absorption coefficients during spring. The relative dominance of absorbing <span class="hlt">aerosols</span> is more near the surface (lower single scattering albedo), compared to that at the higher altitude. This is indicative of the presence of local anthropogenic activities. In addition, long-range transported biomass burning <span class="hlt">aerosols</span> (inferred from the spectral variation of absorption coefficient) also contribute significantly to the higher <span class="hlt">aerosol</span> absorption in the Arctic spring. <span class="hlt">Aerosol</span> optical depth (AOD) estimates from ground based Microtop sun-photometer measurements reveals that the columnar abundance of <span class="hlt">aerosols</span> reaches the peak during spring season. Comparison of AODs between ground based and satellite remote sensing indicates that deep blue algorithm of Moderate Resolution <span class="hlt">Imaging</span> Spectroradiometer (MODIS) retrievals over Arctic snow surfaces overestimate the columnar AOD.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.pubmedcentral.nih.gov/articlerender.fcgi?tool=pmcentrez&artid=547610','PMC'); return false;" href="https://www.pubmedcentral.nih.gov/articlerender.fcgi?tool=pmcentrez&artid=547610"><span>Particle Size Distribution of Serratia marcescens <span class="hlt">Aerosols</span> Created During Common Laboratory Procedures and Simulated Laboratory Accidents</span></a></p> <p><a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pmc">PubMed Central</a></p> <p>Kenny, Michael T.; Sabel, Fred L.</p> <p>1968-01-01</p> <p>Andersen air samplers were used to determine the particle size distribution of Serratia marcescens <span class="hlt">aerosols</span> created during several common laboratory procedures and simulated laboratory accidents. Over 1,600 viable particles per cubic foot of air sampled were <span class="hlt">aerosolized</span> during blending operations. More than 98% of these particles were less than 5 μ in size. In contrast, 80% of the viable particles <span class="hlt">aerosolized</span> by handling lyophilized cultures were larger than 5 μ. Harvesting infected eggs, sonic treatment, centrifugation, mixing cultures, and dropping infectious material produced <span class="hlt">aerosols</span> composed primarily of particles in the 1.0- to 7.5-μ size range. <span class="hlt">Images</span> Fig. 1 PMID:4877498</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2014AGUFM.A21D3052G','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2014AGUFM.A21D3052G"><span>Development and Applications of a New, High-Resolution, Operational MISR <span class="hlt">Aerosol</span> Product</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Garay, M. J.; Diner, D. J.; Kalashnikova, O.</p> <p>2014-12-01</p> <p>Since early 2000, the Multi-angle <span class="hlt">Imaging</span> SpectroRadiometer (MISR) instrument on NASA's Terra satellite has been providing <span class="hlt">aerosol</span> optical depth (AOD) and particle property retrievals at 17.6 km spatial resolution. Capitalizing on the capabilities provided by multi-angle viewing, the operational MISR algorithm performs well, with about 75% of MISR AOD retrievals falling within 0.05 or 20% × AOD of the paired validation data from the ground-based <span class="hlt">Aerosol</span> Robotic Network (AERONET), and is able to distinguish <span class="hlt">aerosol</span> particles by size and sphericity, over both land and water. These attributes enable a variety of applications, including <span class="hlt">aerosol</span> transport model validation and global air quality assessment. Motivated by the adverse impacts of <span class="hlt">aerosols</span> on human health at the local level, and taking advantage of computational speed advances that have occurred since the launch of Terra, we have implemented an operational MISR <span class="hlt">aerosol</span> product with 4.4 km spatial resolution that maintains, and sometimes improves upon, the quality of the 17.6 km resolution product. We will describe the performance of this product relative to the heritage 17.6 km product, the global AERONET validation network, and high spatial density AERONET-DRAGON sites. Other changes that simplify product content, and make working with the data much easier for users, will also be discussed. Examples of how the new product demonstrates finer spatial variability of <span class="hlt">aerosol</span> fields than previously retrieved, and ways this new dataset can be used for studies of local <span class="hlt">aerosol</span> effects, will be shown.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.pubmedcentral.nih.gov/articlerender.fcgi?tool=pmcentrez&artid=186977','PMC'); return false;" href="https://www.pubmedcentral.nih.gov/articlerender.fcgi?tool=pmcentrez&artid=186977"><span>Improved Large-Volume Sampler for the Collection of Bacterial Cells from <span class="hlt">Aerosol</span></span></a></p> <p><a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pmc">PubMed Central</a></p> <p>White, L. A.; Hadley, D. J.; Davids, D. E.; Naylor, R.</p> <p>1975-01-01</p> <p>A modified large-volume sampler was demonstrated to be an efficient device for the collection of mono-disperse <span class="hlt">aerosols</span> of rhodamine B and poly-disperse <span class="hlt">aerosols</span> of bacterial cells. Absolute efficiency for collection of rhodamine B varied from 100% with 5-μm particles to about 70% with 0.5-μm particles. The sampler concentrated the particles from 950 liters of air into a flow of between 1 and 2 ml of collecting fluid per min. Spores of Bacillus subtilis var. niger were collected at an efficiency of about 82% compared to the collection in the standard AGI-30 sampler. In the most desirable collecting fluids tested, <span class="hlt">aerosolized</span> cells of Serratia marcescens, Escherichia coli, and Aerobacter aerogenes were collected at comparative efficiencies of approximately 90, 80, and 90%, respectively. The modified sampler has practical application in the study of <span class="hlt">aerosol</span> transmission of respiratory pathogens. <span class="hlt">Images</span> PMID:803820</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017EGUGA..1917713R','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017EGUGA..1917713R"><span>Particle size distribution of the stratospheric <span class="hlt">aerosol</span> from SCIAMACHY limb measurements</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Rozanov, Alexei; Malinina, Elizaveta; Bovensmann, Heinrich; Burrows, John</p> <p>2017-04-01</p> <p>A crucial role of the stratospheric <span class="hlt">aerosols</span> for the radiative budget of the Earth's atmosphere and the consequences for the climate change are widely recognized. A reliable knowledge on physical and optical properties of the stratospheric <span class="hlt">aerosols</span> as well as on their vertical and spatial distributing is a key issue to assure a proper initialization and running conditions for climate models. On a global scale this information can only be gained from space borne measurements. While a series of past, present and future instruments provide extensive date sets of such <span class="hlt">aerosol</span> characteristics as extinction coefficient or backscattering ratio, information on a size distribution of the stratospheric <span class="hlt">aerosols</span> is sparse. One of the important sources on vertically and spatially resolved information on the particle size distribution of stratospheric <span class="hlt">aerosols</span> is provided by space borne measurements of the scattered solar light in limb viewing geometry performed in visible, near-infrared and short-wave infrared spectral ranges. SCIAMACHY (SCanning <span class="hlt">Imaging</span> Absorption spectroMeter for Atmospheric CHartographY) instrument operated on the European satellite Envisat from 2002 to 2102 was capable of providing spectral information needed to retrieve parameters of <span class="hlt">aerosol</span> particle size distributions. In this presentation we discuss the retrieval method, present first validation results with SAGE II data and analyze first data sets of stratospheric <span class="hlt">aerosol</span> particle size distribution parameters obtained from SCIAMACHY limb measurements. The research work was performed in the framework of ROMIC (Role of the middle atmosphere in climate) project.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20140011354','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20140011354"><span>Improvement of <span class="hlt">Aerosol</span> Optical Depth Retrieval from MODIS Spectral Reflectance over the Global Ocean Using New <span class="hlt">Aerosol</span> Models Archived from AERONET Inversion Data and Tri-axial Ellipsoidal Dust Database</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Lee, J.; Kim, J.; Yang, P.; Hsu, N. C.</p> <p>2012-01-01</p> <p>New over-ocean <span class="hlt">aerosol</span> models are developed by integrating the inversion data from the <span class="hlt">Aerosol</span> Robotic Network (AERONET) sun/sky radiometers with a database for the optical properties of tri-axial ellipsoid particles. The new <span class="hlt">aerosol</span> models allow more accurate retrieval of <span class="hlt">aerosol</span> optical depth (AOD) from the Moderate Resolution <span class="hlt">Imaging</span> Spectroradiometer (MODIS) in the case of high AOD (AOD greater than 0.3). The <span class="hlt">aerosol</span> models are categorized by using the fine-mode fraction (FMF) at 550 nm and the singlescattering albedo (SSA) at 440 nm from the AERONET inversion data to include a variety of <span class="hlt">aerosol</span> types found around the globe. For each <span class="hlt">aerosol</span> model, the changes in the <span class="hlt">aerosol</span> optical properties (AOPs) as functions of AOD are considered to better represent <span class="hlt">aerosol</span> characteristics. Comparisons of AODs between AERONET and MODIS for the period from 2003 to 2010 show that the use of the new <span class="hlt">aerosol</span> models enhances the AOD accuracy with a Pearson coefficient of 0.93 and a regression slope of 0.99 compared to 0.92 and 0.85 calculated using the MODIS Collection 5 data. Moreover, the percentage of data within an expected error of +/-(0.03 + 0.05xAOD) is increased from 62 percent to 64 percent for overall data and from 39 percent to 51 percent for AOD greater than 0.3. Errors in the retrieved AOD are further characterized with respect to the Angstrom exponent (AE), scattering angle, SSA, and air mass factor (AMF). Due to more realistic AOPs assumptions, the new algorithm generally reduces systematic errors in the retrieved AODs compared with the current operational algorithm. In particular, the underestimation of fine-dominated AOD and the scattering angle dependence of dust-dominated AOD are significantly mitigated as results of the new algorithm's improved treatment of <span class="hlt">aerosol</span> size distribution and dust particle nonsphericity.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2013EGUGA..15..196L','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2013EGUGA..15..196L"><span>Uncertainties of <span class="hlt">aerosol</span> retrieval from neglecting non-sphericity of dust <span class="hlt">aerosols</span></span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Li, Chi; Xue, Yong; Yang, Leiku; Guang, Jie</p> <p>2013-04-01</p> <p>The Mie theory is conventionally applied to calculate <span class="hlt">aerosol</span> optical properties in satellite remote sensing applications, while dust <span class="hlt">aerosols</span> cannot be well modeled by the Mie calculation for their non-sphericity. It has been cited in Mishchenko et al. (1995; 1997) that neglecting non-sphericity can severely influence <span class="hlt">aerosol</span> optical depth (AOD, ?) retrieval in case of dust <span class="hlt">aerosols</span> because of large difference of phase functions under spherical and non-spherical assumptions, whereas this uncertainty has not been thoroughly studied. This paper aims at a better understanding of uncertainties on AOD retrieval caused by <span class="hlt">aerosol</span> non-sphericity. A dust <span class="hlt">aerosol</span> model with known refractive index and size distribution is generated from long-term AERONET observations since 1999 over China. Then <span class="hlt">aerosol</span> optical properties, such as the extinction, phase function, single scattering albedo (SSA) are calculated respectively in the assumption of spherical and non-spherical <span class="hlt">aerosols</span>. Mie calculation is carried out for spherical assumption, meanwhile for non-spherical <span class="hlt">aerosol</span> modeling, we adopt the pre-calculated scattering kernels and software package presented by Dubovik et al. (2002; 2006), which describes dust as a shape mixture of randomly oriented polydisperse spheroids. Consequently we generate two lookup tables (LUTspheric and LUTspheroid) from simulated satellite received reflectance at top of atmosphere (TOA) under varieties of observing conditions and <span class="hlt">aerosol</span> loadings using Second Simulation of a Satellite Signal in the Solar Spectrum - Vector (6SV) code. All the simulations are made at 550 nm, and for simplicity the Lambertian surface is assumed. Using the obtained LUTs we examine the differences of TOA reflectance (Δ?TOA = ?spheric - ?spheroid) under different surface reflectance and <span class="hlt">aerosol</span> loadings. Afterwards AOD is retrieved using LUTspheric from the simulated TOA reflectance by LUTspheroid in order to detect the retrieval errors (Δ? = ?retreived -?input) induced</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2011JGRD..11619205S','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2011JGRD..11619205S"><span>An <span class="hlt">aerosol</span> climatology for a rapidly growing arid region (southern Arizona): Major <span class="hlt">aerosol</span> species and remotely sensed <span class="hlt">aerosol</span> properties</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Sorooshian, Armin; Wonaschütz, Anna; Jarjour, Elias G.; Hashimoto, Bryce I.; Schichtel, Bret A.; Betterton, Eric A.</p> <p>2011-10-01</p> <p>This study reports a comprehensive characterization of atmospheric <span class="hlt">aerosol</span> particle properties in relation to meteorological and back trajectory data in the southern Arizona region, which includes two of the fastest growing metropolitan areas in the United States (Phoenix and Tucson). Multiple data sets (MODIS, AERONET, OMI/TOMS, MISR, GOCART, ground-based <span class="hlt">aerosol</span> measurements) are used to examine monthly trends in <span class="hlt">aerosol</span> composition, <span class="hlt">aerosol</span> optical depth (AOD), and <span class="hlt">aerosol</span> size. Fine soil, sulfate, and organics dominate PM2.5 mass in the region. Dust strongly influences the region between March and July owing to the dry and hot meteorological conditions and back trajectory patterns. Because monsoon precipitation begins typically in July, dust levels decrease, while AOD, sulfate, and organic <span class="hlt">aerosol</span> reach their maximum levels because of summertime photochemistry and monsoon moisture. Evidence points to biogenic volatile organic compounds being a significant source of secondary organic <span class="hlt">aerosol</span> in this region. Biomass burning also is shown to be a major contributor to the carbonaceous <span class="hlt">aerosol</span> budget in the region, leading to enhanced organic and elemental carbon levels aloft at a sky-island site north of Tucson (Mt. Lemmon). Phoenix exhibits different monthly trends for <span class="hlt">aerosol</span> components in comparison with the other sites owing to the strong influence of fossil carbon and anthropogenic dust. Trend analyses between 1988 and 2009 indicate that the strongest statistically significant trends are reductions in sulfate, elemental carbon, and organic carbon, and increases in fine soil during the spring (March-May) at select sites. These results can be explained by population growth, land-use changes, and improved source controls.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2015EGUGA..17.9828S','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2015EGUGA..17.9828S"><span><span class="hlt">Aerosol</span>-cloud interaction determined by satellite data over the Baltic Sea countries</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Saponaro, Giulia; Kolmonen, Pekka; Sogacheva, Larisa; de Leeuw, Gerrit</p> <p>2015-04-01</p> <p>The present study investigates the use of long-term satellite data to assess the influence of <span class="hlt">aerosols</span> upon cloud parameters over the Baltic Sea region. This particular area offers the contrast of a very clean environment (Fennoscandia) against a more polluted one (Germany, Poland). The datasets consists of Collection 6 Level 3 daily observations from 2002 to 2014 collected by the NASA's Moderate-Resolution <span class="hlt">Imaging</span> Spectrometer (MODIS) instrument on-board the Aqua platform. The MODIS <span class="hlt">aerosol</span> optical depth (AOD) product is used as a proxy for the number concentration of <span class="hlt">aerosol</span> particles while the cloud effective radius (CER) and cloud optical thickness (COT) describe cloud microphysical and optical properties respectively. Satellite data have certain limitations, such as the restriction to summer season due to solar zenith angle restrictions and the known problem of the ambiguity of the <span class="hlt">aerosol</span>-cloud interface, for instance. Through the analysis of a 12-years dataset, distribution maps provide information on a regional scale about the first <span class="hlt">aerosol</span> indirect effect (AIE) by determining the <span class="hlt">aerosol</span>-cloud interaction (ACI). The ACI is defined as the change in cloud optical depth or effective radius as a function of <span class="hlt">aerosol</span> load for a fixed liquid water path (LWP). The focusing point of the current study is the evaluation of regional trends of ACI over the observed area of the Baltic Sea.</p> </li> </ol> <div class="pull-right"> <ul class="pagination"> <li><a href="#" onclick='return showDiv("page_1");'>«</a></li> <li><a href="#" onclick='return showDiv("page_21");'>21</a></li> <li><a href="#" onclick='return showDiv("page_22");'>22</a></li> <li class="active"><span>23</span></li> <li><a href="#" onclick='return showDiv("page_24");'>24</a></li> <li><a href="#" onclick='return showDiv("page_25");'>25</a></li> <li><a href="#" onclick='return showDiv("page_25");'>»</a></li> </ul> </div> </div><!-- col-sm-12 --> </div><!-- row --> </div><!-- page_23 --> <div id="page_24" class="hiddenDiv"> <div class="row"> <div class="col-sm-12"> <div class="pull-right"> <ul class="pagination"> <li><a href="#" onclick='return showDiv("page_1");'>«</a></li> <li><a href="#" onclick='return showDiv("page_21");'>21</a></li> <li><a href="#" onclick='return showDiv("page_22");'>22</a></li> <li><a href="#" onclick='return showDiv("page_23");'>23</a></li> <li class="active"><span>24</span></li> <li><a href="#" onclick='return showDiv("page_25");'>25</a></li> <li><a href="#" onclick='return showDiv("page_25");'>»</a></li> </ul> </div> </div> </div> <div class="row"> <div class="col-sm-12"> <ol class="result-class" start="461"> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2014AGUFM.A23Q..07M','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2014AGUFM.A23Q..07M"><span>Novel Measurements of <span class="hlt">Aerosol</span> Particle Interfaces Using Biphasic Microfluidics</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Metcalf, A. R.; Dutcher, C. S.</p> <p>2014-12-01</p> <p>Secondary organic <span class="hlt">aerosol</span> (SOA) particles are nearly ubiquitous in the atmosphere and yet there remains large uncertainties in their formation processes and ambient properties. These particles are complex microenvironments, which can contain multiple interfaces due to internal aqueous-organic phase partitioning and to the external liquid-vapor surface. These <span class="hlt">aerosol</span> interfaces can profoundly affect the fate of condensable organic compounds emitted into the atmosphere by altering the way in which organic vapors interact with the ambient <span class="hlt">aerosol</span>. <span class="hlt">Aerosol</span> interfaces affect particle internal structure, species uptake, equilibrium partitioning, activation to cloud condensation or ice nuclei, and optical properties. For example, organic thin films can shield the core of the <span class="hlt">aerosol</span> from the ambient environment, which may disrupt equilibrium partitioning and mass transfer. To improve our ability to accurately predict the fate of SOA in the atmosphere, we must improve our knowledge of <span class="hlt">aerosol</span> interfaces and their interactions with the ambient environment. Few technologies exist to accurately probe <span class="hlt">aerosol</span> interfaces at atmospherically-relevant conditions. In this talk, a novel method using biphasic microscale flows will be introduced for generating, trapping, and perturbing complex interfaces at atmospherically relevant conditions. These microfluidic experiments utilize high-speed <span class="hlt">imaging</span> to monitor interfacial phenomena at the microscale and are performed with phase contrast and fluorescence microscopy on a temperature-controlled inverted microscope stage. From these experiments, interfacial thermodynamic properties such as surface tension, rheological properties such as interfacial moduli, and kinetic properties such as mass transfer coefficients can be measured or inferred. Chemical compositions of the liquid phases studied here span a range of viscosities and include electrolyte and water soluble organic acid species often observed in the atmosphere, such as mixtures</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2016AGUFM.P21B2087S','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2016AGUFM.P21B2087S"><span><span class="hlt">Aerosol</span> Optical Depth as Observed by the Mars Science Laboratory REMS UV Photodiodes</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Smith, M. D.; Zorzano, M. P.; Lemmon, M. T.; Martín-Torres, J.; Mendaza de Cal, T.</p> <p>2016-12-01</p> <p>Systematic observations taken by the REMS UV photodiodes on a daily basis throughout the landed Mars Science Laboratory mission provide a highly useful tool for characterizing <span class="hlt">aerosols</span> above Gale Crater. Radiative transfer modeling is used to model the more than two Mars Years of observations taken to date taking into account multiple scattering from <span class="hlt">aerosols</span> and the extended field of view of the REMS UV photodiodes. The retrievals show in detail the annual cycle of <span class="hlt">aerosol</span> optical depth, which is punctuated with numerous short timescale events of increased optical depth. Dust deposition onto the photodiodes is accounted for by comparison with <span class="hlt">aerosol</span> optical depth derived from direct <span class="hlt">imaging</span> of the Sun by Mastcam. The effect of dust on the photodiodes is noticeable, but does not dominate the signal. Cleaning of dust from the photodiodes was observed in the season around Ls=270°, but not during other seasons. Systematic deviations in the residuals from the retrieval fit are indicative of changes in <span class="hlt">aerosol</span> effective particle size, with larger particles present during periods of increased optical depth. This seasonal dependence of <span class="hlt">aerosol</span> particle size is expected as dust activity injects larger particles into the air, while larger <span class="hlt">aerosols</span> settle out of the atmosphere more quickly leading to a smaller average particle size over time.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2016Icar..280..234S','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2016Icar..280..234S"><span><span class="hlt">Aerosol</span> optical depth as observed by the Mars Science Laboratory REMS UV photodiodes</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Smith, Michael D.; Zorzano, María-Paz; Lemmon, Mark; Martín-Torres, Javier; Mendaza de Cal, Teresa</p> <p>2016-12-01</p> <p>Systematic observations taken by the REMS UV photodiodes on a daily basis throughout the landed Mars Science Laboratory mission provide a highly useful tool for characterizing <span class="hlt">aerosols</span> above Gale Crater. Radiative transfer modeling is used to model the approximately 1.75 Mars Years of observations taken to date taking into account multiple scattering from <span class="hlt">aerosols</span> and the extended field of view of the REMS UV photodiodes. The retrievals show in detail the annual cycle of <span class="hlt">aerosol</span> optical depth, which is punctuated with numerous short timescale events of increased optical depth. Dust deposition onto the photodiodes is accounted for by comparison with <span class="hlt">aerosol</span> optical depth derived from direct <span class="hlt">imaging</span> of the Sun by Mastcam. The effect of dust on the photodiodes is noticeable, but does not dominate the signal. Cleaning of dust from the photodiodes was observed in the season around Ls=270°, but not during other seasons. Systematic deviations in the residuals from the retrieval fit are indicative of changes in <span class="hlt">aerosol</span> effective particle size, with larger particles present during periods of increased optical depth. This seasonal dependence of <span class="hlt">aerosol</span> particle size is expected as dust activity injects larger particles into the air, while larger <span class="hlt">aerosols</span> settle out of the atmosphere more quickly leading to a smaller average particle size over time.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2016AtmRe.182..243P','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2016AtmRe.182..243P"><span><span class="hlt">Aerosols</span> and lightning activity: The effect of vertical profile and <span class="hlt">aerosol</span> type</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Proestakis, E.; Kazadzis, S.; Lagouvardos, K.; Kotroni, V.; Amiridis, V.; Marinou, E.; Price, C.; Kazantzidis, A.</p> <p>2016-12-01</p> <p>The Cloud-<span class="hlt">Aerosol</span> Lidar with Orthogonal Polarization (CALIOP) instrument on board the Cloud-<span class="hlt">Aerosol</span> Lidar and Infrared Pathfinder Satellite Observations (CALIPSO) satellite has been utilized for the first time in a study regarding lightning activity modulation due to <span class="hlt">aerosols</span>. Lightning activity observations, obtained by the ZEUS long range Lightning Detection Network, European Centre for Medium range Weather Forecasts (ECMWF) Convective Available Potential Energy (CAPE) data and Cloud Fraction (CF) retrieved by MODIS on board Aqua satellite have been combined with CALIPSO CALIOP data over the Mediterranean basin and for the period March to November, from 2007 to 2014. The results indicate that lightning activity is enhanced during days characterized by higher <span class="hlt">Aerosol</span> Optical Depth (AOD) values, compared to days with no lightning. This study contributes to existing studies on the link between lightning activity and <span class="hlt">aerosols</span>, which have been based just on columnar AOD satellite retrievals, by performing a deeper analysis into the effect of <span class="hlt">aerosol</span> profiles and <span class="hlt">aerosol</span> types. Correlation coefficients of R = 0.73 between the CALIPSO AOD and the number of lightning strikes detected by ZEUS and of R = 0.93 between ECMWF CAPE and lightning activity are obtained. The analysis of extinction coefficient values at 532 nm indicates that at an altitudinal range exists, between 1.1 km and 2.9 km, where the values for extinction coefficient of lightning-active and non-lightning-active cases are statistically significantly different. Finally, based on the CALIPSO <span class="hlt">aerosol</span> subtype classification, we have investigated the <span class="hlt">aerosol</span> conditions of lightning-active and non-lightning-active cases. According to the results polluted dust <span class="hlt">aerosols</span> are more frequently observed during non-lightning-active days, while dust and smoke <span class="hlt">aerosols</span> are more abundant in the atmosphere during the lightning-active days.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2007ACPD....7.6357K','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2007ACPD....7.6357K"><span><span class="hlt">Aerosol</span> climatology: on the discrimination of <span class="hlt">aerosol</span> types over four AERONET sites</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Kaskaoutis, D. G.; Kambezidis, H. D.; Hatzianastassiou, N.; Kosmopoulos, P. G.; Badarinath, K. V. S.</p> <p>2007-05-01</p> <p><span class="hlt">Aerosols</span> have a significant regional and global effect on climate, which is about equal in magnitude but opposite in sign to that of greenhouse gases. Nevertheless, the <span class="hlt">aerosol</span> climatic effect changes strongly with space and time because of the large variability of <span class="hlt">aerosol</span> physical and optical properties, which is due to the variety of their sources, which are natural, and anthropogenic, and their dependence on the prevailing meteorological and atmospheric conditions. Characterization of <span class="hlt">aerosol</span> properties is of major importance for the assessment of their role for climate. In the present study, 3-year <span class="hlt">AErosol</span> RObotic NETwork (AERONET) data from ground-based sunphotometer measurements are used to establish climatologies of <span class="hlt">aerosol</span> optical depth (AOD) and Ångström exponent α in several key locations of the world, characteristic of different atmospheric environments. Using daily mean values of AOD at 500 nm (AOD500) and Ångström exponent at the pair of wavelengths 440 and 870 nm (α 440-870), a discrimination of the different <span class="hlt">aerosol</span> types occurring in each location is achieved. For this discrimination, appropriate thresholds for AOD500 and α 440-870 are applied. The discrimination of <span class="hlt">aerosol</span> types in each location is made on an annual and seasonal basis. It is shown that a single <span class="hlt">aerosol</span> type in a given location can exist only under specific conditions (e.g. intense forest fires or dust outbreaks), while the presence of well-mixed <span class="hlt">aerosols</span> is the accustomed situation. Background clean <span class="hlt">aerosol</span> conditions (AOD500<0.06) are mostly found over remote oceanic surfaces occurring on average in ~56.7% of total cases, while this situation is quite rare over land (occurrence of 3.8-13.7%). Our analysis indicates that these percentages change significantly from season to season. The spectral dependence of AOD exhibits large differences between the examined locations, while it exhibits a strong annual cycle.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2007JGRD..112.2206D','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2007JGRD..112.2206D"><span>Analysis of reflectance spectra of UV-absorbing <span class="hlt">aerosol</span> scenes measured by SCIAMACHY</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>de Graaf, M.; Stammes, P.; Aben, E. A. A.</p> <p>2007-01-01</p> <p>Reflectance spectra from 280-1750 nm of typical desert dust <span class="hlt">aerosol</span> (DDA) and biomass burning <span class="hlt">aerosol</span> (BBA) scenes over oceans are presented, measured by the space-borne spectrometer Scanning <span class="hlt">Imaging</span> Absorption Spectrometer for Atmospheric Chartography (SCIAMACHY). DDA and BBA are both UV-absorbing <span class="hlt">aerosols</span>, but their effect on the top-of-atmosphere (TOA) reflectance is different due to differences in the way mineral <span class="hlt">aerosols</span> and smoke reflect and absorb radiation. Mineral <span class="hlt">aerosols</span> are typically large, inert particles, found in warm, dry continental air. Smoke particles, on the other hand, are usually small particles, although often clustered, chemically very active and highly variable in composition. Moreover, BBA are hygroscopic and over oceans BBA were invariably found in cloudy scenes. TOA reflectance spectra of typical DDA and BBA scenes were analyzed, using radiative transfer simulations, and compared. The DDA spectrum was successfully simulated using a layer with a bimodal size distribution of mineral <span class="hlt">aerosols</span> in a clear sky. The spectrum of the BBA scene, however, was determined by the interaction between cloud droplets and smoke particles, as is shown by simulations with a model of separate <span class="hlt">aerosol</span> and cloud layers and models with internally and externally mixed <span class="hlt">aerosol</span>/cloud layers. The occurrence of clouds in smoke scenes when sufficient water vapor is present usually prevents the detection of optical properties of these <span class="hlt">aerosol</span> plumes using space-borne sensors. However, the Absorbing <span class="hlt">Aerosol</span> Index (AAI), a UV color index, is not sensitive to scattering <span class="hlt">aerosols</span> and clouds and can be used to detect these otherwise obscured <span class="hlt">aerosol</span> plumes over clouds. The amount of absorption of radiation can be expressed using the absorption optical thickness. The absorption optical thickness in the DDA case was 0.42 (340 nm) and 0.14 (550 nm) for an <span class="hlt">aerosol</span> layer of optical thickness 1.74 (550 nm). In the BBA case the absorption optical thickness was 0.18 (340 nm) and 0</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2013AMT.....6.1919H','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2013AMT.....6.1919H"><span><span class="hlt">Aerosol</span> retrieval experiments in the ESA <span class="hlt">Aerosol</span>_cci project</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Holzer-Popp, T.; de Leeuw, G.; Griesfeller, J.; Martynenko, D.; Klüser, L.; Bevan, S.; Davies, W.; Ducos, F.; Deuzé, J. L.; Graigner, R. G.; Heckel, A.; von Hoyningen-Hüne, W.; Kolmonen, P.; Litvinov, P.; North, P.; Poulsen, C. A.; Ramon, D.; Siddans, R.; Sogacheva, L.; Tanre, D.; Thomas, G. E.; Vountas, M.; Descloitres, J.; Griesfeller, J.; Kinne, S.; Schulz, M.; Pinnock, S.</p> <p>2013-08-01</p> <p>Within the ESA Climate Change Initiative (CCI) project <span class="hlt">Aerosol</span>_cci (2010-2013), algorithms for the production of long-term total column <span class="hlt">aerosol</span> optical depth (AOD) datasets from European Earth Observation sensors are developed. Starting with eight existing pre-cursor algorithms three analysis steps are conducted to improve and qualify the algorithms: (1) a series of experiments applied to one month of global data to understand several major sensitivities to assumptions needed due to the ill-posed nature of the underlying inversion problem, (2) a round robin exercise of "best" versions of each of these algorithms (defined using the step 1 outcome) applied to four months of global data to identify mature algorithms, and (3) a comprehensive validation exercise applied to one complete year of global data produced by the algorithms selected as mature based on the round robin exercise. The algorithms tested included four using AATSR, three using MERIS and one using PARASOL. This paper summarizes the first step. Three experiments were conducted to assess the potential impact of major assumptions in the various <span class="hlt">aerosol</span> retrieval algorithms. In the first experiment a common set of four <span class="hlt">aerosol</span> components was used to provide all algorithms with the same assumptions. The second experiment introduced an <span class="hlt">aerosol</span> property climatology, derived from a combination of model and sun photometer observations, as a priori information in the retrievals on the occurrence of the common <span class="hlt">aerosol</span> components. The third experiment assessed the impact of using a common nadir cloud mask for AATSR and MERIS algorithms in order to characterize the sensitivity to remaining cloud contamination in the retrievals against the baseline dataset versions. The impact of the algorithm changes was assessed for one month (September 2008) of data: qualitatively by inspection of monthly mean AOD maps and quantitatively by comparing daily gridded satellite data against daily averaged AERONET sun photometer</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://ntrs.nasa.gov/search.jsp?R=20040171552&hterms=kaufman&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D90%26Ntt%3Dkaufman','NASA-TRS'); return false;" href="https://ntrs.nasa.gov/search.jsp?R=20040171552&hterms=kaufman&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D90%26Ntt%3Dkaufman"><span>Internally Consistent MODIS Estimate of <span class="hlt">Aerosol</span> Clear-Sky Radiative Effect Over the Global Oceans</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Remer, Lorraine A.; Kaufman, Yoram J.</p> <p>2004-01-01</p> <p>Modern satellite remote sensing, and in particular the MODerate resolution <span class="hlt">Imaging</span> Spectroradiometer (MODIS), offers a measurement-based pathway to estimate global <span class="hlt">aerosol</span> radiative effects and <span class="hlt">aerosol</span> radiative forcing. Over the Oceans, MODIS retrieves the total <span class="hlt">aerosol</span> optical thickness, but also reports which combination of the 9 different <span class="hlt">aerosol</span> models was used to obtain the retrieval. Each of the 9 models is characterized by a size distribution and complex refractive index, which through Mie calculations correspond to a unique set of single scattering albedo, assymetry parameter and spectral extinction for each model. The combination of these sets of optical parameters weighted by the optical thickness attributed to each model in the retrieval produces the best fit to the observed radiances at the top of the atmosphere. Thus the MODIS Ocean <span class="hlt">aerosol</span> retrieval provides us with (1) An observed distribution of global <span class="hlt">aerosol</span> loading, and (2) An internally-consistent, observed, distribution of <span class="hlt">aerosol</span> optical models that when used in combination will best represent the radiances at the top of the atmosphere. We use these two observed global distributions to initialize the column climate model by Chou and Suarez to calculate the <span class="hlt">aerosol</span> radiative effect at top of the atmosphere and the radiative efficiency of the <span class="hlt">aerosols</span> over the global oceans. We apply the analysis to 3 years of MODIS retrievals from the Terra satellite and produce global and regional, seasonally varying, estimates of <span class="hlt">aerosol</span> radiative effect over the clear-sky oceans.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.osti.gov/biblio/1239469-two-column-aerosol-project-phase-overview-impact-elevated-aerosol-layers-aerosol-optical-depth','SCIGOV-STC'); return false;" href="https://www.osti.gov/biblio/1239469-two-column-aerosol-project-phase-overview-impact-elevated-aerosol-layers-aerosol-optical-depth"><span>The Two-Column <span class="hlt">Aerosol</span> Project: Phase I - Overview and Impact of Elevated <span class="hlt">Aerosol</span> Layers on <span class="hlt">Aerosol</span> Optical Depth</span></a></p> <p><a target="_blank" href="http://www.osti.gov/search">DOE Office of Scientific and Technical Information (OSTI.GOV)</a></p> <p>Berg, Larry K.; Fast, Jerome D.; Barnard, James C.</p> <p>2016-01-08</p> <p>The Two-Column <span class="hlt">Aerosol</span> Project (TCAP), which was conducted from June 2012 through June 2013, was a unique field study that was designed to provide a comprehensive data set that can be used to investigate a number of important climate science questions, including those related to <span class="hlt">aerosol</span> mixing state and <span class="hlt">aerosol</span> radiative forcing. The study was designed to sample the atmosphere at a number of altitudes, from near the surface to as high as 8 km, within two atmospheric columns; one located near the coast of North America (over Cape Cod, MA) and a second over the Atlantic Ocean several hundredmore » kilometers from the coast. TCAP included the yearlong deployment of the U.S. Department of Energy’s (DOE) Atmospheric Radiation Measurement (ARM) Mobile Facility (AMF) that was located at the base of the Cape Cod column, as well as summer and winter aircraft intensive observation periods of the ARM Aerial Facility. One important finding from TCAP is the relatively common occurrence (on four of six nearly cloud-free flights) of elevated <span class="hlt">aerosol</span> layers in both the Cape Cod and maritime columns that were detected using the nadir pointing second-generation NASA high-spectral resolution lidar (HSRL-2). These layers contributed up to 60% of the total <span class="hlt">aerosol</span> optical depth (AOD) observed in the column. Many of these layers were also intercepted by the aircraft configured for in situ sampling, and the <span class="hlt">aerosol</span> in the layers was found to have increased amounts of biomass burning <span class="hlt">aerosol</span> and nitrate compared to the <span class="hlt">aerosol</span> found near the surface.« less</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.osti.gov/pages/biblio/1336066-two-column-aerosol-project-phase-overview-impact-elevated-aerosol-layers-aerosol-optical-depth','SCIGOV-DOEP'); return false;" href="https://www.osti.gov/pages/biblio/1336066-two-column-aerosol-project-phase-overview-impact-elevated-aerosol-layers-aerosol-optical-depth"><span>The Two-Column <span class="hlt">Aerosol</span> Project: Phase I-Overview and impact of elevated <span class="hlt">aerosol</span> layers on <span class="hlt">aerosol</span> optical depth</span></a></p> <p><a target="_blank" href="http://www.osti.gov/pages">DOE PAGES</a></p> <p>Berg, Larry K.; Fast, Jerome D.; Barnard, James C.; ...</p> <p>2016-01-08</p> <p>The Two-Column <span class="hlt">Aerosol</span> Project (TCAP), conducted from June 2012 through June 2013, was a unique study designed to provide a comprehensive data set that can be used to investigate a number of important climate science questions, including those related to <span class="hlt">aerosol</span> mixing state and <span class="hlt">aerosol</span> radiative forcing. The study was designed to sample the atmosphere between and within two atmospheric columns; one fixed near the coast of North America (over Cape Cod, MA) and a second moveable column over the Atlantic Ocean several hundred kilometers from the coast. The U.S. Department of Energy's (DOE) Atmospheric Radiation Measurement (ARM) Mobile Facilitymore » (AMF) was deployed at the base of the Cape Cod column, and the ARM Aerial Facility was utilized for the summer and winter intensive observation periods. One important finding from TCAP is that four of six nearly cloud-free flight days had <span class="hlt">aerosol</span> layers aloft in both the Cape Cod and maritime columns that were detected using the nadir pointing second-generation NASA high-spectral resolution lidar (HSRL-2). In addition, these layers contributed up to 60% of the total observed <span class="hlt">aerosol</span> optical depth (AOD). Many of these layers were also intercepted by the aircraft configured for in situ sampling, and the <span class="hlt">aerosol</span> in the layers was found to have increased amounts of biomass burning material and nitrate compared to <span class="hlt">aerosol</span> found near the surface. Lastly, while there was a great deal of spatial and day-to-day variability in the <span class="hlt">aerosol</span> chemical composition and optical properties, no systematic differences between the two columns were observed.« less</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://ntrs.nasa.gov/search.jsp?R=20180000133&hterms=layer&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D90%26Ntt%3Dlayer','NASA-TRS'); return false;" href="https://ntrs.nasa.gov/search.jsp?R=20180000133&hterms=layer&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D90%26Ntt%3Dlayer"><span>The Two-Column <span class="hlt">Aerosol</span> Project: Phase I - Overview and Impact of Elevated <span class="hlt">Aerosol</span> Layers on <span class="hlt">Aerosol</span> Optical Depth</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Berg, Larry K.; Fast, Jerome D.; Barnard, James C.; Burton, Sharon P.; Cairns, Brian; Chand, Duli; Comstock, Jennifer M.; Dunagan, Stephen; Ferrare, Richard A.; Flynn, Connor J.; <a style="text-decoration: none; " href="javascript:void(0); " onClick="displayelement('author_20180000133'); toggleEditAbsImage('author_20180000133_show'); toggleEditAbsImage('author_20180000133_hide'); "> <img style="display:inline; width:12px; height:12px; " src="images/arrow-up.gif" width="12" height="12" border="0" alt="hide" id="author_20180000133_show"> <img style="width:12px; height:12px; display:none; " src="images/arrow-down.gif" width="12" height="12" border="0" alt="hide" id="author_20180000133_hide"></p> <p>2015-01-01</p> <p>The Two-Column <span class="hlt">Aerosol</span> Project (TCAP), conducted from June 2012 through June 2013, was a unique study designed to provide a comprehensive data set that can be used to investigate a number of important climate science questions, including those related to <span class="hlt">aerosol</span> mixing state and <span class="hlt">aerosol</span> radiative forcing. The study was designed to sample the atmosphere be tween and within two atmospheric columns; one fixed near the coast of North America (over Cape Cod, MA) and a second moveable column over the Atlantic Ocean several hundred kilometers from the coast. The U.S. Department of Energy (DOE) Atmospheric Radiation Measurement (ARM) Mobile Facility (AMF) was deployed at the base of the Cape Cod column, and the ARM Aerial Facility was utilized for the summer and winter intensive observation periods. One important finding from TCAP is that four of six nearly cloud-free flight days had <span class="hlt">aerosol</span> layers aloft in both the Cape Cod and maritime columns that were detected using the nadir pointing second-generation NASA high-spectral resolution lidar (HSRL-2).These layer s contributed up to 60 of the total observed <span class="hlt">aerosol</span> optical depth (AOD). Many of these layers were also intercepted by the aircraft configured for in situ sampling, and the <span class="hlt">aerosol</span> in the layers was found to have increased amounts of biomass burning material and nitrate compared to <span class="hlt">aerosol</span> found near the surface. In addition, while there was a great deal of spatial and day-to-day variability in the <span class="hlt">aerosol</span> chemical composition and optical properties, no systematic differences between the two columns were observed.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2016JGRD..121..336B','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2016JGRD..121..336B"><span>The Two-Column <span class="hlt">Aerosol</span> Project: Phase I—Overview and impact of elevated <span class="hlt">aerosol</span> layers on <span class="hlt">aerosol</span> optical depth</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Berg, Larry K.; Fast, Jerome D.; Barnard, James C.; Burton, Sharon P.; Cairns, Brian; Chand, Duli; Comstock, Jennifer M.; Dunagan, Stephen; Ferrare, Richard A.; Flynn, Connor J.; Hair, Johnathan W.; Hostetler, Chris A.; Hubbe, John; Jefferson, Anne; Johnson, Roy; Kassianov, Evgueni I.; Kluzek, Celine D.; Kollias, Pavlos; Lamer, Katia; Lantz, Kathleen; Mei, Fan; Miller, Mark A.; Michalsky, Joseph; Ortega, Ivan; Pekour, Mikhail; Rogers, Ray R.; Russell, Philip B.; Redemann, Jens; Sedlacek, Arthur J.; Segal-Rosenheimer, Michal; Schmid, Beat; Shilling, John E.; Shinozuka, Yohei; Springston, Stephen R.; Tomlinson, Jason M.; Tyrrell, Megan; Wilson, Jacqueline M.; Volkamer, Rainer; Zelenyuk, Alla; Berkowitz, Carl M.</p> <p>2016-01-01</p> <p>The Two-Column <span class="hlt">Aerosol</span> Project (TCAP), conducted from June 2012 through June 2013, was a unique study designed to provide a comprehensive data set that can be used to investigate a number of important climate science questions, including those related to <span class="hlt">aerosol</span> mixing state and <span class="hlt">aerosol</span> radiative forcing. The study was designed to sample the atmosphere between and within two atmospheric columns; one fixed near the coast of North America (over Cape Cod, MA) and a second moveable column over the Atlantic Ocean several hundred kilometers from the coast. The U.S. Department of Energy's (DOE) Atmospheric Radiation Measurement (ARM) Mobile Facility (AMF) was deployed at the base of the Cape Cod column, and the ARM Aerial Facility was utilized for the summer and winter intensive observation periods. One important finding from TCAP is that four of six nearly cloud-free flight days had <span class="hlt">aerosol</span> layers aloft in both the Cape Cod and maritime columns that were detected using the nadir pointing second-generation NASA high-spectral resolution lidar (HSRL-2). These layers contributed up to 60% of the total observed <span class="hlt">aerosol</span> optical depth (AOD). Many of these layers were also intercepted by the aircraft configured for in situ sampling, and the <span class="hlt">aerosol</span> in the layers was found to have increased amounts of biomass burning material and nitrate compared to <span class="hlt">aerosol</span> found near the surface. In addition, while there was a great deal of spatial and day-to-day variability in the <span class="hlt">aerosol</span> chemical composition and optical properties, no systematic differences between the two columns were observed.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017AGUFM.A21A2139K','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017AGUFM.A21A2139K"><span><span class="hlt">Aerosol</span> Optical Depth Changes in Version 4 CALIPSO Level 2 Product</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Kim, M. H.; Omar, A. H.; Tackett, J. L.; Vaughan, M.; Winker, D. M.; Trepte, C. R.; Hu, Y.; Liu, Z.</p> <p>2017-12-01</p> <p>The Cloud-<span class="hlt">Aerosol</span> Lidar with Orthogonal Polarization (CALIOP) version 4 (V4) products were released in November 2016 with substantial enhancements. There have been improvements in the V4 CALIOP level 2 <span class="hlt">aerosol</span> optical depth (AOD) compared to V3 (version 3) due to various factors. To analyze the AOD changes we selected every bin whose the vertical feature mask (VFM) is determined as <span class="hlt">aerosol</span> for either V3 or V4 (or both) from the CALIOP level 2 profile product from 2007 to 2009. We isolated the AOD differences due to changes in six factors: layer detection, cloud-<span class="hlt">aerosol</span> discrimination (CAD), surface detection, stratospheric <span class="hlt">aerosol</span>, <span class="hlt">aerosol</span> subtype, and lidar ratio. Total mean (± standard deviation) column AOD increases from V3 in V4 by 0.051±0.296 and 0.075±0.383 for daytime and nighttime, respectively. Dominant reasons for AOD change are differences in <span class="hlt">aerosol</span> layer detection, CAD, <span class="hlt">aerosol</span> subtype, and lidar ratio between V3 and V4 with AOD changes of 0.011 (0.027), 0.018 (0.015), -0.002 (0.009), 0.016 (0.017) for daytime (nighttime), respectively. CALIOP AOD was compared with the Moderate Resolution <span class="hlt">Imaging</span> Spectroradiometer (MODIS) and <span class="hlt">Aerosol</span> Robotic Network (AERONET) for both V3 and V4. The comparison shows that mean AOD biases with AERONET and MODIS (collection 6, over ocean) decrease in V4 compared to V3. Mean AOD difference with MODIS for cloud-screened data changes from -0.012±0.079 in V3 to -0.008±0.067 in V4. Mean AOD difference with AERONET is -0.071±0.207 and -0.023±0.233 for V3 and V4, respectively. There is reduction in the CALIOP AOD negative bias with respect to both MODIS and AERONET.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2016APJAS..52...25T','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2016APJAS..52...25T"><span>Satellite and ground-based remote sensing of <span class="hlt">aerosols</span> during intense haze event of October 2013 over lahore, Pakistan</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Tariq, Salman; Zia, ul-Haq; Ali, Muhammad</p> <p>2016-02-01</p> <p>Due to increase in population and economic development, the mega-cities are facing increased haze events which are causing important effects on the regional environment and climate. In order to understand these effects, we require an in-depth knowledge of optical and physical properties of <span class="hlt">aerosols</span> in intense haze conditions. In this paper an effort has been made to analyze the microphysical and optical properties of <span class="hlt">aerosols</span> during intense haze event over mega-city of Lahore by using remote sensing data obtained from satellites (Terra/Aqua Moderate-resolution <span class="hlt">Imaging</span> Spectroradiometer (MODIS) and Cloud-<span class="hlt">Aerosol</span> Lidar and Infrared Pathfinder Satellite Observation (CALIPSO)) and ground based instrument (<span class="hlt">AErosol</span> RObotic NETwork (AERONET)) during 6-14 October 2013. The instantaneous highest value of <span class="hlt">Aerosol</span> Optical Depth (AOD) is observed to be 3.70 on 9 October 2013 followed by 3.12 on 8 October 2013. The primary cause of such high values is large scale crop residue burning and urban-industrial emissions in the study region. AERONET observations show daily mean AOD of 2.36 which is eight times higher than the observed values on normal day. The observed fine mode volume concentration is more than 1.5 times greater than the coarse mode volume concentration on the high <span class="hlt">aerosol</span> burden day. We also find high values (~0.95) of Single Scattering Albedo (SSA) on 9 October 2013. Scatter-plot between AOD (500 nm) and Angstrom exponent (440-870 nm) reveals that biomass burning/urban-industrial <span class="hlt">aerosols</span> are the dominant <span class="hlt">aerosol</span> type on the heavy <span class="hlt">aerosol</span> loading day over Lahore. MODIS fire activity <span class="hlt">image</span> suggests that the areas in the southeast of Lahore across the border with India are dominated by biomass burning activities. A Hybrid Single-Particle Lagrangian Integrated Trajectory (HYSPLIT) model backward trajectory showed that the winds at 1000 m above the ground are responsible for transport from southeast region of biomass burning to Lahore. CALIPSO derived sub-types of</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2012AGUFM.A24C..06J','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2012AGUFM.A24C..06J"><span>Absorbing <span class="hlt">Aerosols</span> Above Cloud: Detection, Quantitative Retrieval, and Radiative Forcing from Satellite-based Passive Sensors</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Jethva, H.; Torres, O.; Remer, L. A.; Bhartia, P. K.</p> <p>2012-12-01</p> <p>Light absorbing particles such as carbonaceous <span class="hlt">aerosols</span> generated from biomass burning activities and windblown dust particles can exert a net warming effect on climate; the strength of which depends on the absorption capacity of the particles and brightness of the underlying reflecting background. When advected over low-level bright clouds, these <span class="hlt">aerosols</span> absorb the cloud reflected radiation from ultra-violet (UV) to shortwave-IR (SWIR) and makes cloud scene darker-a phenomenon commonly known as "cloud darkening". The apparent "darkening" effect can be seen by eyes in satellite <span class="hlt">images</span> as well as quantitatively in the spectral reflectance measurements made by space borne sensors over regions where light absorbing carbonaceous and dust <span class="hlt">aerosols</span> overlay low-level cloud decks. Theoretical radiative transfer simulations support the observational evidence, and further reveal that the strength of the cloud darkening and its spectral signature (or color ratio) between measurements at two wavelengths are a bi-function of <span class="hlt">aerosol</span> and cloud optical thickness (AOT and COT); both are measures of the total amount of light extinction caused by <span class="hlt">aerosols</span> and cloud, respectively. Here, we developed a retrieval technique, named as the "color ratio method" that uses the satellite measurements at two channels, one at shorter wavelength in the visible and one at longer wavelength in the shortwave-IR for the simultaneous retrieval of AOT and COT. The present technique requires assumptions on the <span class="hlt">aerosol</span> single-scattering albedo and <span class="hlt">aerosol</span>-cloud separation which are supplemented by the <span class="hlt">Aerosol</span> Robotic Network (AERONET) and space borne CALIOP lidar measurements. The retrieval technique has been tested making use of the near-UV and visible reflectance observations made by the Ozone Monitoring Instrument (OMI) and Moderate Resolution <span class="hlt">Imaging</span> Spectroradiometer (MODIS) for distinct above-cloud smoke and dust <span class="hlt">aerosol</span> events observed seasonally over the southeast and tropical Atlantic Ocean</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2015EGUGA..17.1535B','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2015EGUGA..17.1535B"><span>The effect of organic <span class="hlt">aerosol</span> material on <span class="hlt">aerosol</span> reactivity towards ozone</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Batenburg, Anneke; Gaston, Cassandra; Thornton, Joel; Virtanen, Annele</p> <p>2015-04-01</p> <p>After <span class="hlt">aerosol</span> particles are formed or emitted into the atmosphere, heterogeneous reactions with gaseous oxidants cause them to 'age'. Aging can change <span class="hlt">aerosol</span> properties, such as the hygroscopicity, which is an important parameter in how the particles scatter radiation and form clouds. Conversely, heterogeneous reactions on <span class="hlt">aerosol</span> particles play a significant role in the cycles of various atmospheric trace gases. Organic compounds, a large part of the total global <span class="hlt">aerosol</span> matter, can exist in liquid or amorphous (semi)solid physical phases. Different groups have shown that reactions with ozone (O3) can be limited by bulk diffusion in organic <span class="hlt">aerosol</span>, particularly in viscous, (semi)solid materials, and that organic coatings alter the surface interactions between gas and <span class="hlt">aerosol</span> particles. We aim to better understand and quantify how the viscosity and phase of organic <span class="hlt">aerosol</span> matter affect gas-particle interactions. We have chosen the reaction of O3 with particles composed of a potassium iodide (KI) core and a variable organic coating as a model system. The reaction is studied in an <span class="hlt">aerosol</span> flow reactor that consists of a laminar flow tube and a movable, axial injector for the injection of O3. The <span class="hlt">aerosol</span>-containing air is inserted at the tube's top. The interaction length (and therefore time), between the particles and the O3 can be varied by moving the injector. Alternatively, the production of <span class="hlt">aerosol</span> particles can be modulated. The remaining O3 concentration is monitored from the bottom of the tube and particle concentrations are measured simultaneously, which allows us to calculate the reactive uptake coefficient γ. We performed exploratory experiments with internally mixed KI and polyethylene glycol (PEG) particles at the University of Washington (UW) in a setup with a residence time around 50 s. <span class="hlt">Aerosol</span> particles were generated in an atomizer from solutions with varying concentrations of KI and PEG and inserted into the flow tube after they were diluted and</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.ncbi.nlm.nih.gov/pubmed/27781216','PUBMED'); return false;" href="https://www.ncbi.nlm.nih.gov/pubmed/27781216"><span>Dynamic viscosity mapping of the oxidation of squalene <span class="hlt">aerosol</span> particles.</span></a></p> <p><a target="_blank" href="https://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pubmed">PubMed</a></p> <p>Athanasiadis, Athanasios; Fitzgerald, Clare; Davidson, Nicholas M; Giorio, Chiara; Botchway, Stanley W; Ward, Andrew D; Kalberer, Markus; Pope, Francis D; Kuimova, Marina K</p> <p>2016-11-09</p> <p>Organic <span class="hlt">aerosols</span> (OAs) play important roles in multiple atmospheric processes, including climate change, and can impact human health. The physico-chemical properties of OAs are important for all these processes and can evolve through reactions with various atmospheric components, including oxidants. The dynamic nature of these reactions makes it challenging to obtain a true representation of their composition and surface chemistry. Here we investigate the microscopic viscosity of the model OA composed of squalene, undergoing chemical aging. We employ Fluorescent Lifetime <span class="hlt">Imaging</span> Microscopy (FLIM) in conjunction with viscosity sensitive probes termed molecular rotors, in order to <span class="hlt">image</span> the changes in microviscosity in real time during oxidation with ozone and hydroxyl radicals, which are two key oxidising species in the troposphere. We also recorded the Raman spectra of the levitated particles to follow the reactivity during particle ozonolysis. The levitation of droplets was achieved via optical trapping that enabled simultaneous levitation and measurement via FLIM or Raman spectroscopy and allowed the true <span class="hlt">aerosol</span> phase to be probed. Our data revealed a very significant increase in viscosity of the levitated squalene droplets upon ozonolysis, following their transformation from the liquid to solid phase that was not observable when the oxidation was carried out on coverslip mounted droplets. FLIM <span class="hlt">imaging</span> with sub-micron spatial resolution also revealed spatial heterogeneity in the viscosity distribution of oxidised droplets. Overall, a combination of molecular rotors, FLIM and optical trapping is able to provide powerful insights into OA chemistry and the microscopic structure that enables the dynamic monitoring of microscopic viscosity in <span class="hlt">aerosol</span> particles in their true phase.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.osti.gov/servlets/purl/1254294','SCIGOV-STC'); return false;" href="https://www.osti.gov/servlets/purl/1254294"><span>Coincident <span class="hlt">Aerosol</span> and H2O Retrievals versus HSI <span class="hlt">Imager</span> Field Campaign ReportH2O Retrievals versus HSI <span class="hlt">Imager</span> Field Campaign Report</span></a></p> <p><a target="_blank" href="http://www.osti.gov/search">DOE Office of Scientific and Technical Information (OSTI.GOV)</a></p> <p>Anderson, Gail P.; Cipar, John; Armstrong, Peter S.</p> <p></p> <p>Two spectrally calibrated tarpaulins (tarps) were co-located at a fixed Global Positioning System (GPS) position on the gravel antenna field at the U.S. Department of Energy (DOE) Atmospheric Radiation Measurement (ARM) Climate Research Facility’s Southern Great Plains (SGP) site. Their placement was timed to coincide with the overflight of a new hyperspectral <span class="hlt">imaging</span> satellite. The intention was to provide an analysis of the data obtained, including the measured and retrieved spectral albedos for the calibration tarps. Subsequently, a full suite of retrieved values of H2O column, and the <span class="hlt">aerosol</span> overburden, were to be compared to those determined by alternate SGPmore » ground truth assets. To the extent possible, the down-looking cloud <span class="hlt">images</span> would be assessed against the all-sky <span class="hlt">images</span>. Because cloud contamination above a certain level precludes the inversion processing of the satellite data, coupled with infrequent targeting opportunities, clear-sky conditions were imposed. The SGP site was chosen not only as a target of opportunity for satellite validation, but as perhaps the best coincident field measurement site, as established by DOE’s ARM Facility. The satellite team had every expectation of using the information obtained from the SGP to improve the inversion products for all subsequent satellite <span class="hlt">images</span>, including the cloud and radiative models and parameterizations and, thereby, the performance assessment for subsequent and historic <span class="hlt">image</span> collections. Coordinating with the SGP onsite team, four visits, all in 2009, to the Central Facility occurred: • June 6-8 (successful exploratory visit to plan tarp placements, etc.) • July 18-24 (canceled because of forecast for heavy clouds) • Sep 9-12 (ground tarps placed, onset of clouds) • Nov 7-9 (visit ultimately canceled because of weather predictions). As noted, in each instance, any significant overcast prediction precluded <span class="hlt">image</span> collection from the satellite. Given the long task</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2004SPIE.5571...30V','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2004SPIE.5571...30V"><span>Cloud and <span class="hlt">aerosol</span> studies using combined CPL and MAS data</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Vaughan, Mark A.; Rodier, Sharon; Hu, Yongxiang; McGill, Matthew J.; Holz, Robert E.</p> <p>2004-11-01</p> <p>Current uncertainties in the role of <span class="hlt">aerosols</span> and clouds in the Earth's climate system limit our abilities to model the climate system and predict climate change. These limitations are due primarily to difficulties of adequately measuring <span class="hlt">aerosols</span> and clouds on a global scale. The A-train satellites (Aqua, CALIPSO, CloudSat, PARASOL, and Aura) will provide an unprecedented opportunity to address these uncertainties. The various active and passive sensors of the A-train will use a variety of measurement techniques to provide comprehensive observations of the multi-dimensional properties of clouds and <span class="hlt">aerosols</span>. However, to fully achieve the potential of this ensemble requires a robust data analysis framework to optimally and efficiently map these individual measurements into a comprehensive set of cloud and <span class="hlt">aerosol</span> physical properties. In this work we introduce the Multi-Instrument Data Analysis and Synthesis (MIDAS) project, whose goal is to develop a suite of physically sound and computationally efficient algorithms that will combine active and passive remote sensing data in order to produce improved assessments of <span class="hlt">aerosol</span> and cloud radiative and microphysical properties. These algorithms include (a) the development of an intelligent feature detection algorithm that combines inputs from both active and passive sensors, and (b) identifying recognizable multi-instrument signatures related to <span class="hlt">aerosol</span> and cloud type derived from clusters of <span class="hlt">image</span> pixels and the associated vertical profile information. Classification of these signatures will lead to the automated identification of <span class="hlt">aerosol</span> and cloud types. Testing of these new algorithms is done using currently existing and readily available active and passive measurements from the Cloud Physics Lidar and the MODIS Airborne Simulator, which simulate, respectively, the CALIPSO and MODIS A-train instruments.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2014AGUFM.A23B3233I','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2014AGUFM.A23B3233I"><span>The Impact of Biogenic and Anthropogenic Atmospheric <span class="hlt">Aerosol</span> on Climate in Egypt</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Ibrahim, A. I.; Zakey, A.; Steiner, A. L.; Shokr, M. E.; El-Raey, M.; Ahmed, Y.; Al-Hadidi, A.; Zakey, A.</p> <p>2014-12-01</p> <p><span class="hlt">Aerosols</span> are indicators of air quality as they reduce visibility and adversely affect public health. <span class="hlt">Aerosol</span> optical depth (AOD) is a measure of the radiation extinction due to interaction of radiation with <span class="hlt">aerosol</span> particles in the atmosphere. Using this optical measure of atmospheric <span class="hlt">aerosols</span> we explore the seasonal and annual patterns of <span class="hlt">aerosols</span> from both anthropogenic and biogenic sources over Egypt. Here, we use an integrated environment-climate-<span class="hlt">aerosol</span> model in conjunction with inversion technique to identify the <span class="hlt">aerosol</span> particle size distribution over different locations in Egypt. The online-integrated Environment-Climate-<span class="hlt">Aerosol</span> model (EnvClimA), which is based on the International Center for Theoretical Physics Regional Climate Model (ICTP-RegCM), is used to study the emission of different <span class="hlt">aerosols</span> and their impact on climate parameters for a long-term base line simulation run over Egypt and North Africa. The global emission inventory is downscaled and remapping them over Egypt using local factors such as population, traffic and industrial activities to identify the sources of anthropogenic and biogenic emission from local emission over Egypt. The results indicated that the dominant natural <span class="hlt">aerosols</span> over Egypt are dust emissions that frequently occur during the transitional seasons (Spring and Autumn). From the local observation we identify the number of dust and sand storm occurrences over Egypt. The Multiangle <span class="hlt">Imaging</span> SpectroRadiometer (MISR) is used to identify the optical characterizations of different types of <span class="hlt">aerosols</span> over Egypt. Modeled <span class="hlt">aerosol</span> optical depth and MISR observed (at 555 nm) are compared from March 2000 through November 2013. The results identify that the MISR AOD captures the maximum peaks of AOD in March/April that coincide with the Khamasin dust storms. However, peaks in May are either due to photochemical reactions or anthropogenic activities. Note: This presentation is for a Partnerships for Enhanced Engagement in Research (PEER</p> </li> </ol> <div class="pull-right"> <ul class="pagination"> <li><a href="#" onclick='return showDiv("page_1");'>«</a></li> <li><a href="#" onclick='return showDiv("page_21");'>21</a></li> <li><a href="#" onclick='return showDiv("page_22");'>22</a></li> <li><a href="#" onclick='return showDiv("page_23");'>23</a></li> <li class="active"><span>24</span></li> <li><a href="#" onclick='return showDiv("page_25");'>25</a></li> <li><a href="#" onclick='return showDiv("page_25");'>»</a></li> </ul> </div> </div><!-- col-sm-12 --> </div><!-- row --> </div><!-- page_24 --> <div id="page_25" class="hiddenDiv"> <div class="row"> <div class="col-sm-12"> <div class="pull-right"> <ul class="pagination"> <li><a href="#" onclick='return showDiv("page_1");'>«</a></li> <li><a href="#" onclick='return showDiv("page_21");'>21</a></li> <li><a href="#" onclick='return showDiv("page_22");'>22</a></li> <li><a href="#" onclick='return showDiv("page_23");'>23</a></li> <li><a href="#" onclick='return showDiv("page_24");'>24</a></li> <li class="active"><span>25</span></li> <li><a href="#" onclick='return showDiv("page_25");'>»</a></li> </ul> </div> </div> </div> <div class="row"> <div class="col-sm-12"> <ol class="result-class" start="481"> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.osti.gov/servlets/purl/868192','DOE-PATENT-XML'); return false;" href="https://www.osti.gov/servlets/purl/868192"><span>Solid <span class="hlt">aerosol</span> generator</span></a></p> <p><a target="_blank" href="http://www.osti.gov/doepatents">DOEpatents</a></p> <p>Prescott, Donald S.; Schober, Robert K.; Beller, John</p> <p>1992-01-01</p> <p>An improved solid <span class="hlt">aerosol</span> generator used to produce a gas borne stream of dry, solid particles of predetermined size and concentration. The improved solid <span class="hlt">aerosol</span> generator nebulizes a feed solution of known concentration with a flow of preheated gas and dries the resultant wet heated <span class="hlt">aerosol</span> in a grounded, conical heating chamber, achieving high recovery and flow rates.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.osti.gov/biblio/5271142','DOE-PATENT-XML'); return false;" href="https://www.osti.gov/biblio/5271142"><span><span class="hlt">Aerosol</span> distribution apparatus</span></a></p> <p><a target="_blank" href="http://www.osti.gov/doepatents">DOEpatents</a></p> <p>Hanson, W.D.</p> <p></p> <p>An apparatus for uniformly distributing an <span class="hlt">aerosol</span> to a plurality of filters mounted in a plenum, wherein the <span class="hlt">aerosol</span> and air are forced through a manifold system by means of a jet pump and released into the plenum through orifices in the manifold. The apparatus allows for the simultaneous <span class="hlt">aerosol</span>-testing of all the filters in the plenum.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20130014484','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20130014484"><span>Comparison Between NPP-VIIRS <span class="hlt">Aerosol</span> Data Products and the MODIS AQUA Deep Blue Collection 6 Dataset Over Land</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Sayer, Andrew M.; Hsu, N. C.; Bettenhausen, C.; Lee, J.; Kondragunta, S.</p> <p>2013-01-01</p> <p><span class="hlt">Aerosols</span> are small particles suspended in the atmosphere and have a variety of natural and man-made sources. Knowledge of <span class="hlt">aerosol</span> optical depth (AOD), which is a measure of the amount of <span class="hlt">aerosol</span> in the atmosphere, and its change over time, is important for multiple reasons. These include climate change, air quality (pollution) monitoring, monitoring hazards such as dust storms and volcanic ash, monitoring smoke from biomass burning, determining potential energy yields from solar plants, determining visibility at sea, estimating fertilization of oceans and rainforests by transported mineral dust, understanding changes in weather brought upon by the interaction of <span class="hlt">aerosols</span> and clouds, and more. The Suomi-NPP satellite was launched late in 2011. The Visible Infrared <span class="hlt">Imaging</span> Radiometer Suite (VIIRS) aboard Suomi-NPP is being used, among other things, to determine AOD. This study compares the VIIRS dataset to ground-based measurements of AOD, along with a state-of-the-art satellite AOD dataset (the new version of the Moderate Resolution <span class="hlt">Imaging</span> Spectrometer Deep Blue algorithm) to assess its reliability. The Suomi-NPP satellite was launched late in 2011, carrying several instruments designed to continue the biogeophysical data records of current and previous satellite sensors. The Visible Infrared <span class="hlt">Imaging</span> Radiometer Suite (VIIRS) aboard Suomi-NPP is being used, among other things, to determine <span class="hlt">aerosol</span> optical depth (AOD), and related activities since launch have been focused towards validating and understanding this new dataset through comparisons with other satellite and ground-based products. The operational VIIRS AOD product is compared over land with AOD derived from Moderate Resolution <span class="hlt">Imaging</span> Spectrometer (MODIS) observations using the Deep Blue (DB) algorithm from the forthcoming Collection 6 of MODIS data</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017ERL....12e4021Z','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017ERL....12e4021Z"><span>Decadal-scale trends in regional <span class="hlt">aerosol</span> particle properties and their linkage to emission changes</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Zhao, Bin; Jiang, Jonathan H.; Gu, Yu; Diner, David; Worden, John; Liou, Kuo-Nan; Su, Hui; Xing, Jia; Garay, Michael; Huang, Lei</p> <p>2017-05-01</p> <p>Understanding long-term trends in <span class="hlt">aerosol</span> loading and properties is essential for evaluating the health and climatic effects of these airborne particulates as well as the effectiveness of pollution control policies. While many studies have used satellite data to examine the trends in <span class="hlt">aerosol</span> optical depth (AOD), very few have investigated the trends in <span class="hlt">aerosol</span> properties associated with particle size, morphology, and light absorption. In this study, we investigate decadal-scale (13-15 year) trends in <span class="hlt">aerosol</span> loading and properties during 2001-2015 over three populous regions: the Eastern United States (EUS), Western Europe (WEU), and Eastern and Central China (ECC). We use observations from MISR (Multi-angle <span class="hlt">Imaging</span> SpectroRadiometer) and MODIS (Moderate resolution <span class="hlt">Imaging</span> Spectroradiometer). Relationships between <span class="hlt">aerosol</span> property trends and air pollutant emission changes are examined. We find that annual mean AOD shows pronounced decreasing trends over EUS and WEU regions, as a result of considerable emission reductions in all major pollutants except for mineral dust and ammonia (NH3). Over the ECC region, AOD increases before 2006 due to emission increases induced by rapid economic development, fluctuates between 2006 and 2011, and subsequently decreases after 2011 in conjunction with effective emission reduction in anthropogenic primary <span class="hlt">aerosols</span>, sulfur dioxide (SO2), and nitrogen oxides (NOx). The fraction of small-size AOD (<0.7 μm diameter), Ångstrom exponent and single-scattering albedo have generally decreased, while the fractions of large-size (>1.4 μm diameter), nonspherical and absorbing AOD have generally shown increasing trends over EUS and WEU regions, indicating that fine and light-scattering <span class="hlt">aerosol</span> constituents have been more effectively reduced than coarse and light-absorbing constituents. These trends are consistent with the larger reduction ratios in SO2 and NOx emissions than in primary <span class="hlt">aerosols</span>, including mineral dust and black carbon (BC</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2015EGUGA..17.4472K','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2015EGUGA..17.4472K"><span>simplified <span class="hlt">aerosol</span> representations in global modeling</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Kinne, Stefan; Peters, Karsten; Stevens, Bjorn; Rast, Sebastian; Schutgens, Nick; Stier, Philip</p> <p>2015-04-01</p> <p>The detailed treatment of <span class="hlt">aerosol</span> in global modeling is complex and time-consuming. Thus simplified approaches are investigated, which prescribe 4D (space and time) distributions of <span class="hlt">aerosol</span> optical properties and of <span class="hlt">aerosol</span> microphysical properties. <span class="hlt">Aerosol</span> optical properties are required to assess <span class="hlt">aerosol</span> direct radiative effects and <span class="hlt">aerosol</span> microphysical properties (in terms of their ability as <span class="hlt">aerosol</span> nuclei to modify cloud droplet concentrations) are needed to address the indirect <span class="hlt">aerosol</span> impact on cloud properties. Following the simplifying concept of the monthly gridded (1x1 lat/lon) <span class="hlt">aerosol</span> climatology (MAC), new approaches are presented and evaluated against more detailed methods, including comparisons to detailed simulations with complex <span class="hlt">aerosol</span> component modules.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20070016619','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20070016619"><span>Global <span class="hlt">Aerosol</span> Optical Models and Lookup Tables for the New MODIS <span class="hlt">Aerosol</span> Retrieval over Land</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Levy, Robert C.; Remer, Loraine A.; Dubovik, Oleg</p> <p>2007-01-01</p> <p>Since 2000, MODIS has been deriving <span class="hlt">aerosol</span> properties over land from MODIS observed spectral reflectance, by matching the observed reflectance with that simulated for selected <span class="hlt">aerosol</span> optical models, <span class="hlt">aerosol</span> loadings, wavelengths and geometrical conditions (that are contained in a lookup table or 'LUT'). Validation exercises have showed that MODIS tends to under-predict <span class="hlt">aerosol</span> optical depth (tau) in cases of large tau (tau greater than 1.0), signaling errors in the assumed <span class="hlt">aerosol</span> optical properties. Using the climatology of almucantur retrievals from the hundreds of global AERONET sunphotometer sites, we found that three spherical-derived models (describing fine-sized dominated <span class="hlt">aerosol</span>), and one spheroid-derived model (describing coarse-sized dominated <span class="hlt">aerosol</span>, presumably dust) generally described the range of observed global <span class="hlt">aerosol</span> properties. The fine dominated models were separated mainly by their single scattering albedo (omega(sub 0)), ranging from non-absorbing <span class="hlt">aerosol</span> (omega(sub 0) approx. 0.95) in developed urban/industrial regions, to neutrally absorbing <span class="hlt">aerosol</span> (omega(sub 0) approx.90) in forest fire burning and developing industrial regions, to absorbing <span class="hlt">aerosol</span> (omega(sub 0) approx. 0.85) in regions of savanna/grassland burning. We determined the dominant model type in each region and season, to create a 1 deg. x 1 deg. grid of assumed <span class="hlt">aerosol</span> type. We used vector radiative transfer code to create a new LUT, simulating the four <span class="hlt">aerosol</span> models, in four MODIS channels. Independent AERONET observations of spectral tau agree with the new models, indicating that the new models are suitable for use by the MODIS <span class="hlt">aerosol</span> retrieval.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20110008491','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20110008491"><span>Biomass Burning <span class="hlt">Aerosol</span> Absorption Measurements with MODIS Using the Critical Reflectance Method</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Zhu, Li; Martins, Vanderlei J.; Remer, Lorraine A.</p> <p>2010-01-01</p> <p>This research uses the critical reflectance technique, a space-based remote sensing method, to measure the spatial distribution of <span class="hlt">aerosol</span> absorption properties over land. Choosing two regions dominated by biomass burning <span class="hlt">aerosols</span>, a series of sensitivity studies were undertaken to analyze the potential limitations of this method for the type of <span class="hlt">aerosol</span> to be encountered in the selected study areas, and to show that the retrieved results are relatively insensitive to uncertainties in the assumptions used in the retrieval of smoke <span class="hlt">aerosol</span>. The critical reflectance technique is then applied to Moderate Resolution <span class="hlt">Imaging</span> Spectrometer (MODIS) data to retrieve the spectral <span class="hlt">aerosol</span> single scattering albedo (SSA) in South African and South American 35 biomass burning events. The retrieved results were validated with collocated <span class="hlt">Aerosol</span> Robotic Network (AERONET) retrievals. One standard deviation of mean MODIS retrievals match AERONET products to within 0.03, the magnitude of the AERONET uncertainty. The overlap of the two retrievals increases to 88%, allowing for measurement variance in the MODIS retrievals as well. The ensemble average of MODIS-derived SSA for the Amazon forest station is 0.92 at 670 nm, and 0.84-0.89 for the southern African savanna stations. The critical reflectance technique allows evaluation of the spatial variability of SSA, and shows that SSA in South America exhibits higher spatial variation than in South Africa. The accuracy of the retrieved <span class="hlt">aerosol</span> SSA from MODIS data indicates that this product can help to better understand 44 how <span class="hlt">aerosols</span> affect the regional and global climate.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://ntrs.nasa.gov/search.jsp?R=20030054359&hterms=global+issues&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D80%26Ntt%3Dglobal%2Bissues','NASA-TRS'); return false;" href="https://ntrs.nasa.gov/search.jsp?R=20030054359&hterms=global+issues&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D80%26Ntt%3Dglobal%2Bissues"><span>Dynamics and Properties of Global <span class="hlt">Aerosol</span> using MODIS, AERONET and GOCART Model</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Kaufman, Yoram; Chin, Mian; Reme, Lorraine; Tanre, Didier; Mattoo, Shana</p> <p>2002-01-01</p> <p>Recently produced daily Moderate Resolution <span class="hlt">Imaging</span> Spectroradiometer (MODIS) <span class="hlt">aerosol</span> data for the whole year of 2001 are used to show the concentration and dynamics of <span class="hlt">aerosol</span> over ocean and large parts of the continents. The data were validated against the <span class="hlt">Aerosol</span> Robotic Network (AERONET) measurements over land and ocean in a special issue in GRL now in press. Monthly averages and a movie based on the daily data are produced and used to demonstrate the spatial and temporal evolution of <span class="hlt">aerosol</span>. The MODIS wide spectral range is used to distinguish fine smoke and pollution <span class="hlt">aerosol</span> from coarse dust and salt. The <span class="hlt">aerosol</span> is observed above ocean and land. The movie produced from the MODIS data provides a new dimension to <span class="hlt">aerosol</span> observations by showing the dynamics of the system. For example in February smoke and dust emitted from the Sahel and West Africa is shown to travel to the North-East Atlantic. In April heavy dust and pollution from East Asia is shown to travel to North America. In May-June pollution and dust play a dynamical dance in the Arabian Sea and Bay of Bengal. In Aug-September smoke from South Africa and South America is shown to pulsate in tandem and to periodically to be transported to the otherwise pristine Southern part of the Southern Hemisphere. The MODIS data are compared with the Georgia Tech/Goddard Global Ozone Chemistry <span class="hlt">Aerosol</span> Radiation Transport (GOCART) model to test and adjust source and sink strengths in the model and to study the effect of clouds on the representation of the satellite data.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2003SPIE.5034..453A','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2003SPIE.5034..453A"><span>ROC analysis of lesion descriptors in breast ultrasound <span class="hlt">images</span></span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Andre, Michael P.; Galperin, Michael; Phan, Peter; Chiu, Peter</p> <p>2003-05-01</p> <p>Breast biopsy serves as the key diagnostic tool in the evaluation of breast masses for malignancy, yet the procedure affects patients physically and emotionally and may obscure results of future mammograms. Studies show that high quality ultrasound can distinguish a benign from malignant lesions with accuracy, however, it has proven difficult to teach and clinical results are highly variable. The purpose of this study is to develop a means to optimize an automated Computer Aided <span class="hlt">Imaging</span> System (<span class="hlt">CAIS</span>) to assess Level of Suspicion (LOS) of a breast mass. We examine the contribution of 15 object features to lesion classification by calculating the Wilcoxon area under the ROC curve, AW, for all combinations in a set of 146 masses with known findings. For each interval A, the frequency of appearance of each feature and its combinations with others was computed as a means to find an "optimum" feature vector. The original set of 15 was reduced to 6 (area, perimeter, diameter ferret Y, relief, homogeneity, average energy) with an improvement from Aw=0.82-/+0.04 for the original 15 to Aw=0.93-/+0.02 for the subset of 6, p=0.03. For comparison, two sub-specialty mammography radiologists also scored the <span class="hlt">images</span> for LOS resulting in Az of 0.90 and 0.87. The <span class="hlt">CAIS</span> performed significantly higher, p=0.02.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2016AGUFM.A33H0339G','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2016AGUFM.A33H0339G"><span>A Monte-Carlo Analysis of Organic <span class="hlt">Aerosol</span> Volatility with <span class="hlt">Aerosol</span> Microphysics</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Gao, C. Y.; Tsigaridis, K.; Bauer, S. E.</p> <p>2016-12-01</p> <p>A newly developed box model scheme, MATRIX-VBS, includes the volatility-basis set (VBS) framework in an <span class="hlt">aerosol</span> microphysical scheme MATRIX (Multiconfiguration <span class="hlt">Aerosol</span> TRacker of mIXing state), which resolves <span class="hlt">aerosol</span> mass and number concentrations and <span class="hlt">aerosol</span> mixing state. The new scheme advanced the representation of organic <span class="hlt">aerosols</span> in Earth system models by improving the traditional and simplistic treatment of organic <span class="hlt">aerosols</span> as non-volatile and with a fixed size distribution. Further development includes adding the condensation of organics on coarse mode <span class="hlt">aerosols</span> - dust and sea salt, thus making all organics in the system semi-volatile. To test and simplify the model, a Monte-Carlo analysis is performed to pin point which processes affect organics the most under which chemical and meteorological conditions. Since the model's parameterizations have the ability to capture a very wide range of conditions, from very clean to very polluted and for a wide range of meteorological conditions, all possible scenarios on Earth across the whole parameter space, including temperature, location, emissions and oxidant levels, are examined. The Monte-Carlo simulations provide quantitative information on the sensitivity of the newly developed model and help us understand how organics are affecting the size distribution, mixing state and volatility distribution at varying levels of meteorological conditions and pollution levels. In addition, these simulations give information on which parameters play a critical role in the <span class="hlt">aerosol</span> distribution and evolution in the atmosphere and which do not, that will facilitate the simplification of the box model, an important step in its implementation in the global model.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20110007790','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20110007790"><span>Global Estimates of Average Ground-Level Fine Particulate Matter Concentrations from Satellite-Based <span class="hlt">Aerosol</span> Optical Depth</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Van Donkelaar, A.; Martin, R. V.; Brauer, M.; Kahn, R.; Levy, R.; Verduzco, C.; Villeneuve, P.</p> <p>2010-01-01</p> <p>Exposure to airborne particles can cause acute or chronic respiratory disease and can exacerbate heart disease, some cancers, and other conditions in susceptible populations. Ground stations that monitor fine particulate matter in the air (smaller than 2.5 microns, called PM2.5) are positioned primarily to observe severe pollution events in areas of high population density; coverage is very limited, even in developed countries, and is not well designed to capture long-term, lower-level exposure that is increasingly linked to chronic health effects. In many parts of the developing world, air quality observation is absent entirely. Instruments aboard NASA Earth Observing System satellites, such as the MODerate resolution <span class="hlt">Imaging</span> Spectroradiometer (MODIS) and the Multi-angle <span class="hlt">Imaging</span> SpectroRadiometer (MISR), monitor <span class="hlt">aerosols</span> from space, providing once daily and about once-weekly coverage, respectively. However, these data are only rarely used for health applications, in part because the can retrieve the amount of <span class="hlt">aerosols</span> only summed over the entire atmospheric column, rather than focusing just on the near-surface component, in the airspace humans actually breathe. In addition, air quality monitoring often includes detailed analysis of particle chemical composition, impossible from space. In this paper, near-surface <span class="hlt">aerosol</span> concentrations are derived globally from the total-column <span class="hlt">aerosol</span> amounts retrieved by MODIS and MISR. Here a computer <span class="hlt">aerosol</span> simulation is used to determine how much of the satellite-retrieved total column <span class="hlt">aerosol</span> amount is near the surface. The five-year average (2001-2006) global near-surface <span class="hlt">aerosol</span> concentration shows that World Health Organization Air Quality standards are exceeded over parts of central and eastern Asia for nearly half the year.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.osti.gov/biblio/7273153','DOE-PATENT-XML'); return false;" href="https://www.osti.gov/biblio/7273153"><span>Solid <span class="hlt">aerosol</span> generator</span></a></p> <p><a target="_blank" href="http://www.osti.gov/doepatents">DOEpatents</a></p> <p>Prescott, D.S.; Schober, R.K.; Beller, J.</p> <p>1992-03-17</p> <p>An improved solid <span class="hlt">aerosol</span> generator used to produce a gas borne stream of dry, solid particles of predetermined size and concentration is disclosed. The improved solid <span class="hlt">aerosol</span> generator nebulizes a feed solution of known concentration with a flow of preheated gas and dries the resultant wet heated <span class="hlt">aerosol</span> in a grounded, conical heating chamber, achieving high recovery and flow rates. 2 figs.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/1988RvGeo..26...89S','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/1988RvGeo..26...89S"><span>Antarctic <span class="hlt">aerosols</span> - A review</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Shaw, Glenn E.</p> <p>1988-02-01</p> <p>Tropospheric <span class="hlt">aerosols</span> with the diameter range of half a micron reside in the atmosphere for tens of days and teleconnect Antarctica with other regions by transport that reaches planetary scales of distances; thus, the <span class="hlt">aerosol</span> on the Antarctic ice represents 'memory modules' of events that took place at regions separated from Antarctica by tens of thousands of kilometers. In terms of <span class="hlt">aerosol</span> mass, the <span class="hlt">aerosol</span> species include insoluble crustal products (less than 5 percent), transported sea-salt residues (highly variable but averaging about 10 percent), Ni-rich meteoric material, and anomalously enriched material with an unknown origin. Most (70-90 percent by mass) of the <span class="hlt">aerosol</span> over the Antarctic ice shield, however, is the 'natural acid sulfate <span class="hlt">aerosol</span>', apparently deriving from biological processes taking place in the surrounding oceans.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2012AtmEn..54..511C','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2012AtmEn..54..511C"><span>Characterization of urban <span class="hlt">aerosol</span> using <span class="hlt">aerosol</span> mass spectrometry and proton nuclear magnetic resonance spectroscopy</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Cleveland, M. J.; Ziemba, L. D.; Griffin, R. J.; Dibb, J. E.; Anderson, C. H.; Lefer, B.; Rappenglück, B.</p> <p>2012-07-01</p> <p>Particulate matter was measured during August and September of 2006 in Houston as part of the Texas Air Quality Study II Radical and <span class="hlt">Aerosol</span> Measurement Project. <span class="hlt">Aerosol</span> size and composition were determined using an Aerodyne quadrupole <span class="hlt">aerosol</span> mass spectrometer. <span class="hlt">Aerosol</span> was dominated by sulfate (4.1 ± 2.6 μg m-3) and organic material (5.5 ± 4.0 μg m-3), with contributions of organic material from both primary (˜32%) and secondary (˜68%) sources. Secondary organic <span class="hlt">aerosol</span> appears to be formed locally. In addition, 29 <span class="hlt">aerosol</span> filter samples were analyzed using proton nuclear magnetic resonance (1H NMR) spectroscopy to determine relative concentrations of organic functional groups. Houston <span class="hlt">aerosols</span> are less oxidized than those observed elsewhere, with smaller relative contributions of carbon-oxygen double bonds. These particles do not fit 1H NMR source apportionment fingerprints for identification of secondary, marine, and biomass burning organic <span class="hlt">aerosol</span>, suggesting that a new fingerprint for highly urbanized and industrially influenced locations be established.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2015JGRD..120.6908F','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2015JGRD..120.6908F"><span>Measurement-based estimates of direct radiative effects of absorbing <span class="hlt">aerosols</span> above clouds</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Feng, Nan; Christopher, Sundar A.</p> <p>2015-07-01</p> <p>The elevated layers of absorbing smoke <span class="hlt">aerosols</span> from western African (e.g., Gabon and Congo) biomass burning activities have been frequently observed above low-level stratocumulus clouds off the African coast, which presents an excellent natural laboratory for studying the effects of <span class="hlt">aerosols</span> above clouds (AAC) on regional energy balance in tropical and subtropical environments. Using spatially and temporally collocated Moderate Resolution <span class="hlt">Imaging</span> Spectroradiometer, Ozone Monitoring Instrument (OMI), and Clouds and the Earth's Radiant Energy System data sets, the top-of-atmosphere shortwave <span class="hlt">aerosol</span> direct shortwave radiative effects (ARE) of absorbing <span class="hlt">aerosols</span> above low-level water clouds in the southeast Atlantic Ocean was examined in this study. The regional averaged instantaneous ARE has been estimated to be 36.7 ± 20.5 Wm-2 (regional mean ± standard deviation) along with a mean positive OMI <span class="hlt">Aerosol</span> Index at 1.3 in August 2006 based on multisensors measurements. The highest magnitude of instantaneous ARE can even reach 138.2 Wm-2. We assess that the 660 nm cloud optical depth (COD) values of 8-12 is the critical value above (below) which <span class="hlt">aerosol</span> absorption (scattering) effect dominates and further produces positive (negative) ARE values. The results further show that ARE values are more sensitive to <span class="hlt">aerosols</span> above lower COD values than cases for higher COD values. This is among the first studies to provide quantitative estimates of shortwave ARE due to AAC events from an observational perspective.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://pubs.er.usgs.gov/publication/70000501','USGSPUBS'); return false;" href="https://pubs.er.usgs.gov/publication/70000501"><span>Satellite-derived <span class="hlt">aerosol</span> radiative forcing from the 2004 British Columbia wildfires</span></a></p> <p><a target="_blank" href="http://pubs.er.usgs.gov/pubs/index.jsp?view=adv">USGS Publications Warehouse</a></p> <p>Guo, Song; Leighton, H.</p> <p>2008-01-01</p> <p>The British Columbia wildfires of 2004 was one of the largest wildfire events in the last ten years in Canada. Both the shortwave and longwave smoke <span class="hlt">aerosol</span> radiative forcing at the top-of-atmosphere (TOA) are investigated using data from the Moderate Resolution <span class="hlt">Imaging</span> Spectroradiometer (MODIS) and the Clouds and the Earth's Radiant Energy System (CERES) instruments. Relationships between the radiative forcing fluxes (??F) and wildfire <span class="hlt">aerosol</span> optical thickness (AOT) at 0.55 ??m (??0.55) are deduced for both noontime instantaneous forcing and diurnally averaged forcing. The noontime averaged instantaneous shortwave and longwave smoke <span class="hlt">aerosol</span> radiative forcing at the TOA are 45.8??27.5 W m-2 and -12.6??6.9 W m-2, respectively for a selected study area between 62??N and 68??N in latitude and 125??W and 145??W in longitude over three mainly clear-sky days (23-25 June). The derived diurnally averaged smoke <span class="hlt">aerosol</span> shortwave radiative forcing is 19.9??12.1 W m-2 for a mean ??0.55 of 1.88??0.71 over the same time period. The derived ??F-?? relationship can be implemented in the radiation scheme used in regional climate models to assess the effect of wildfire <span class="hlt">aerosols</span>.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017JChPh.147v0901B','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017JChPh.147v0901B"><span>Perspective: <span class="hlt">Aerosol</span> microphysics: From molecules to the chemical physics of <span class="hlt">aerosols</span></span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Bzdek, Bryan R.; Reid, Jonathan P.</p> <p>2017-12-01</p> <p><span class="hlt">Aerosols</span> are found in a wide diversity of contexts and applications, including the atmosphere, pharmaceutics, and industry. <span class="hlt">Aerosols</span> are dispersions of particles in a gas, and the coupling of the two phases results in highly dynamic systems where chemical and physical properties like size, composition, phase, and refractive index change rapidly in response to environmental perturbations. <span class="hlt">Aerosol</span> particles span a wide range of sizes from 1 nm to tens of micrometres or from small molecular clusters that may more closely resemble gas phase molecules to large particles that can have similar qualities to bulk materials. However, even large particles with finite volumes exhibit distinct properties from the bulk condensed phase, due in part to their higher surface-to-volume ratio and their ability to easily access supersaturated solute states inaccessible in the bulk. <span class="hlt">Aerosols</span> represent a major challenge for study because of the facile coupling between the particle and gas, the small amounts of sample available for analysis, and the sheer breadth of operative processes. Time scales of <span class="hlt">aerosol</span> processes can be as short as nanoseconds or as long as years. Despite their very different impacts and applications, fundamental chemical physics processes serve as a common theme that underpins our understanding of <span class="hlt">aerosols</span>. This perspective article discusses challenges in the study of <span class="hlt">aerosols</span> and highlights recent chemical physics advancements that have enabled improved understanding of these complex systems.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017AGUFM.A21G2234G','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017AGUFM.A21G2234G"><span>Introducing MISR Version 23: Resolution and Content Improvements to MISR <span class="hlt">Aerosol</span> and Land Surface Product</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Garay, M. J.; Bull, M. A.; Witek, M. L.; Diner, D. J.; Seidel, F.</p> <p>2017-12-01</p> <p>Since early 2000, the Multi-angle <span class="hlt">Imaging</span> SpectroRadiometer (MISR) instrument on NASA's Terra satellite has been providing operational Level 2 (swath-based) <span class="hlt">aerosol</span> optical depth (AOD) and particle property retrievals at 17.6 km spatial resolution and atmospherically corrected land surface products at 1.1 km resolution. A major, multi-year development effort has led to the release of updated operational MISR Level 2 <span class="hlt">aerosol</span> and land surface retrieval products. The spatial resolution of the <span class="hlt">aerosol</span> product has been increased to 4.4 km, allowing more detailed characterization of <span class="hlt">aerosol</span> spatial variability, especially near local sources and in urban areas. The product content has been simplified and updated to include more robust measures of retrieval uncertainty and other fields to benefit users. The land surface product has also been updated to incorporate the Version 23 <span class="hlt">aerosol</span> product as input and to improve spatial coverage, particularly over mountainous terrain and snow/ice-covered surfaces. We will describe the major upgrades incorporated in Version 23, present validation of the <span class="hlt">aerosol</span> product, and describe some of the applications enabled by these product updates.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.pubmedcentral.nih.gov/articlerender.fcgi?tool=pmcentrez&artid=5891332','PMC'); return false;" href="https://www.pubmedcentral.nih.gov/articlerender.fcgi?tool=pmcentrez&artid=5891332"><span>Using MODIS Cloud Regimes to Sort Diagnostic Signals of <span class="hlt">Aerosol</span>-Cloud-Precipitation Interactions</span></a></p> <p><a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pmc">PubMed Central</a></p> <p>Oreopoulos, Lazaros; Cho, Nayeong; Lee, Dongmin</p> <p>2018-01-01</p> <p>Coincident multi-year measurements of <span class="hlt">aerosol</span>, cloud, precipitation and radiation at near-global scales are analyzed to diagnose their apparent relationships as suggestive of interactions previously proposed based on theoretical, observational, and model constructs. Specifically, we examine whether differences in <span class="hlt">aerosol</span> loading in separate observations go along with consistently different precipitation, cloud properties, and cloud radiative effects. Our analysis uses a cloud regime (CR) framework to dissect and sort the results. The CRs come from the Moderate Resolution <span class="hlt">Imaging</span> Spectroradiometer (MODIS) sensor and are defined as distinct groups of cloud systems with similar co-variations of cloud top pressure and cloud optical thickness. <span class="hlt">Aerosol</span> optical depth used as proxy for <span class="hlt">aerosol</span> loading comes from two sources, MODIS observations, and the MERRA-2 re-analysis, and its variability is defined with respect to local seasonal climatologies. The choice of <span class="hlt">aerosol</span> dataset impacts our results substantially. We also find that the responses of the marine and continental component of a CR are frequently quite disparate. Overall, CRs dominated by warm clouds tend to exhibit less ambiguous signals, but also have more uncertainty with regard to precipitation changes. Finally, we find weak, but occasionally systematic co-variations of select meteorological indicators and <span class="hlt">aerosol</span>, which serves as a sober reminder that ascribing changes in cloud and cloud-affected variables solely to <span class="hlt">aerosol</span> variations is precarious. PMID:29651373</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.ncbi.nlm.nih.gov/pubmed/29651373','PUBMED'); return false;" href="https://www.ncbi.nlm.nih.gov/pubmed/29651373"><span>Using MODIS Cloud Regimes to Sort Diagnostic Signals of <span class="hlt">Aerosol</span>-Cloud-Precipitation Interactions.</span></a></p> <p><a target="_blank" href="https://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pubmed">PubMed</a></p> <p>Oreopoulos, Lazaros; Cho, Nayeong; Lee, Dongmin</p> <p>2017-05-27</p> <p>Coincident multi-year measurements of <span class="hlt">aerosol</span>, cloud, precipitation and radiation at near-global scales are analyzed to diagnose their apparent relationships as suggestive of interactions previously proposed based on theoretical, observational, and model constructs. Specifically, we examine whether differences in <span class="hlt">aerosol</span> loading in separate observations go along with consistently different precipitation, cloud properties, and cloud radiative effects. Our analysis uses a cloud regime (CR) framework to dissect and sort the results. The CRs come from the Moderate Resolution <span class="hlt">Imaging</span> Spectroradiometer (MODIS) sensor and are defined as distinct groups of cloud systems with similar co-variations of cloud top pressure and cloud optical thickness. <span class="hlt">Aerosol</span> optical depth used as proxy for <span class="hlt">aerosol</span> loading comes from two sources, MODIS observations, and the MERRA-2 re-analysis, and its variability is defined with respect to local seasonal climatologies. The choice of <span class="hlt">aerosol</span> dataset impacts our results substantially. We also find that the responses of the marine and continental component of a CR are frequently quite disparate. Overall, CRs dominated by warm clouds tend to exhibit less ambiguous signals, but also have more uncertainty with regard to precipitation changes. Finally, we find weak, but occasionally systematic co-variations of select meteorological indicators and <span class="hlt">aerosol</span>, which serves as a sober reminder that ascribing changes in cloud and cloud-affected variables solely to <span class="hlt">aerosol</span> variations is precarious.</p> </li> </ol> <div class="pull-right"> <ul class="pagination"> <li><a href="#" onclick='return showDiv("page_1");'>«</a></li> <li><a href="#" onclick='return showDiv("page_21");'>21</a></li> <li><a href="#" onclick='return showDiv("page_22");'>22</a></li> <li><a href="#" onclick='return showDiv("page_23");'>23</a></li> <li><a href="#" onclick='return showDiv("page_24");'>24</a></li> <li class="active"><span>25</span></li> <li><a href="#" onclick='return showDiv("page_25");'>»</a></li> </ul> </div> </div><!-- col-sm-12 --> </div><!-- row --> </div><!-- page_25 --> <div class="footer-extlink text-muted" style="margin-bottom:1rem; text-align:center;">Some links on this page may take you to non-federal websites. 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