Science.gov

Sample records for climate wise case

  1. Climate wise case study compendium: Report 1

    SciTech Connect

    1997-02-01

    This case study compendium is one of several Climate Wise tools available to help interested companies identify cost-effective options. Climate Wise, a private-public partnership program, is a key Federal initiative to return greenhouse gas emissions to 1990 levels by 2000.

  2. Step-wise extinctions at the Cretaceous-Tertiary boundary and their climatic implications

    NASA Technical Reports Server (NTRS)

    Maurrasse, Florentin J-M. R.

    1988-01-01

    A comparative study of planktonic foraminifera and radiolarian assemblages from the Cretaceous-Tertiary (K-T) boundary section of the Beloc Formation in the southern Peninsula of Haiti, and the lowermost Danian sequence of the Micara Formation in southern Cuba reveals a remarkable pattern of step-wise extinctions. This pattern is consistent in both places despite the widely different lithologies of the two formations. Because of a step-wise extinction and the delayed disappearance of taxa known to be more representative of cooler water realms, it is inferred that a cooling trend which characterized the close of the Maastrichtian and the onset of the Tertiary had the major adverse effect on the existing biota. Although repetitive lithologic and faunal fluctuations throughout the Maastrichtian sediments found at Deep Sea Drilling Project (DSDP) site 146/149 in the Caribbean Sea indicate variations reminiscent of known climatically induced cycles in the Cenozoic, rapid biotic succession appears to have taken place during a crisis period of a duration greater than 2 mission years. Widespread and abundant volcanic activities recorded in the Caribbean area during the crisis period gives further credence to earlier contention that intense volcanism may have played a major role in exhacerbating pre-existing climatic conditions during that time.

  3. Can Local Voluntary Environmental Programs "Work"? An Examination of Fort Collins' (Colorado) Climate Wise Program

    NASA Astrophysics Data System (ADS)

    Samantha, Mosier; Jonathan, Fisk

    2013-05-01

    Previous research on voluntary environmental programs (VEPs) frequently assesses the effectiveness of federal, state, and third party programs and why organizations seek to join such programs. Yet, research has yet to evaluate the effectiveness or firm motivation relative to local VEPs. Recognizing this gap, our paper examines the structure and organization of Fort Collins' Climate Wise program, a local VEP. Using a variety of sources, we find that the program has successfully met both short- and long-term goals by persistently self-evaluating and seeking outside financial support. Findings from this analysis can aid in understanding and developing local VEPs elsewhere. Specifically, this initial research suggests that local VEPs need to consider local context and available resources when implementing such programs. Furthermore, it is possible for local VEPs to attract a diverse variety of participating firms by avoiding one-size-fits-all participation levels and by establishing a sense of ownership among partners.

  4. Bridging the Divide: A Case Study Investigating Digitally-Wise Teacher Perceptions of Middle School Cyberbullying

    ERIC Educational Resources Information Center

    Graves, Tiffany Nicole

    2013-01-01

    The purpose of this qualitative case study was to explore the perceptions of middle school, technologically proficient, or digitally-wise teachers, regarding how they defined, prevented, recognized, and handled incidences of cyberbullying in four middle schools located in Southern Virginia. Data was collected using an open-ended questionnaire,…

  5. Isgur-Wise functions and unitary representations of the Lorentz group: The baryon case j=0

    SciTech Connect

    Le Yaouanc, A.; Oliver, L.; Raynal, J.-C.

    2009-09-01

    We propose a group theoretical method to study Isgur-Wise (IW) functions. A current matrix element splits into a heavy quark matrix element and an overlap of the initial and final clouds, related to the IW functions, that contain the long distance physics. The light cloud belongs to the Hilbert space of a unitary representation of the Lorentz group. Decomposing into irreducible representations one obtains the IW function as an integral formula, superposition of irreducible IW functions with positive measures, providing positivity bounds on its derivatives. Our method is equivalent to the sum rule approach, but sheds another light on the physics and summarizes and gives all its possible constraints. We expose the general formalism, thoroughly applying it to the case j=0 for the light cloud, relevant to the semileptonic decay {lambda}{sub b}{yields}{lambda}{sub c}l{nu}{sub l}. In this case, the principal series of the representations contribute, and also the supplementary series. We recover the bound for the curvature of the j=0 IW function {xi}{sub {lambda}}(w) that we did obtain from the sum rule method, and we get new bounds for higher derivatives. We demonstrate also that if the lower bound for the curvature is saturated, then {xi}{sub {lambda}}(w) is completely determined, given by an explicit elementary function. We give criteria to decide if any Ansatz for the Isgur-Wise function is compatible or not with the sum rules. We apply the method to some simple model forms proposed in the literature. Dealing with a Hilbert space, the sum rules are convergent, but this feature does not survive hard gluon radiative corrections.

  6. Choosing Wisely.

    PubMed

    Fleck, Leonard M

    2016-07-01

    The American College of Physicians in its ethics manual endorsed the idea that physicians ought to improve their ability to provide care to their patients more parsimoniously. This elicited a critical backlash; critics essentially claimed that what was being endorsed was a renamed form of rationing. In a recent article, Tilburt and Cassel argued that parsimonious care and rationing are ethically distinct practices. In this essay I critically assess that claim. I argue that in practice there is considerable overlap between what they term parsimonious care and what they define as rationing. The same is true of the Choosing Wisely campaign endorsed by the American Board of Internal Medicine. In both cases, if the goal is to control healthcare costs by reducing the use of marginally beneficial care that is not cost effective, then a public conversation about the justness of specific choices is essential. PMID:27348821

  7. WISE and Brown Dwarfs

    NASA Astrophysics Data System (ADS)

    Kirkpatrick, J. Davy; WISE Team

    2009-05-01

    The search for the nearest and coolest brown dwarfs will use WISE's two short-wavelength channels (W1 and W2), which are optimized for brown dwarf detection. W1 samples the methane fundamental absorption band at 3.3 microns, and W2 measures the relatively opacity-free portion of the brown dwarf atmosphere near 4.7 microns. Cool brown dwarfs will thus have very red [W1]-[W2] colors, maximizing our chances of identifying them. Extrapolating preferred mass functions to very low masses and assuming that the star formation rate has been constant over the last 10 Gyr, we can predict the number of brown dwarfs WISE is expected to image. At spectral types later than T7 (Teff > 850K), WISE is expected to find 500 brown dwarfs, which makes WISE uniquely suited among future surveys to measure the low-mass limit of star formation for the first time. This sample will also show whether a new spectral class beyond T, dubbed "Y", is needed at the lowest temperatures. Although the primary six-month WISE mission will cover the entire sky once, WISE should have sufficient cryogen to perform a second, complete pass of the sky. In this case, the identification of nearby brown dwarfs need not rely solely on color selection. Kinematics (proper motion) and geometry (parallax) can also be used to distinguish our closest brown dwarf neighbors, one of which may lie less distant than Proxima Centauri or even fall within our own Oort Cloud.

  8. WISE-ONE System Description.

    ERIC Educational Resources Information Center

    Olson, Tom; And Others

    WISE-ONE is a bibliographic information retrieval system which is designed to perform keyword searches of such data-bases as the ERIC RESUMAST and the ERIC CIJEMAST. Produced as a result of the search are the ERIC citation numbers, titles, authors, and, in the case of the journal file, the journal citation. Because WISE-ONE allows for nesting of…

  9. Step-Wise Evolution of Mental Models of Electric Circuits: A "Learning-Aloud" Case Study.

    ERIC Educational Resources Information Center

    Clement, John J.; Steinberg, Melvin S.

    2002-01-01

    Describes an approach to teaching complex models in science that uses a model construction cycle of generation, evaluation, and modification. Reports on a case study of a student in a tutoring experiment in the study of electric circuits. Focuses on the role of analogies, discrepant events, and the student's moments of surprise as motivators of…

  10. Choosing Wisely? Let's Start with Working Wisely.

    PubMed

    Kurdyak, Paul; Wiesenfeld, Lesley; Sockalingam, Sanjeev

    2016-01-01

    There is an increasing emphasis on quality and, relatedly, cost-effectiveness as it relates to the delivery of health care. Choosing Wisely is an initiative adopted by numerous specialties with the goal of starting a dialogue about efficient use of health care resources. People need to be able to access care to have an opportunity to choose wisely. There is a considerable amount of evidence that access to care is poor for specialty mental health care, particularly access to psychiatrists. Consequently, we suggest that psychiatrists and the broader mental health system need to consider working wisely, and in our paper outline key issues (for example, implementation of wait times and objective measures of need in a centralized referral management system; incorporation of performance indicators with longitudinal monitoring for continuous quality improvement) that need to be addressed to develop a mental health system that would allow people to access care to choose wisely. PMID:27582450

  11. Spending Money Wisely.

    ERIC Educational Resources Information Center

    Wentworth, Donald R.; And Others

    1982-01-01

    The theme article of this issue, "Spending Money Wisely," by Donald R. Wentworth, begins with an explanation of basic strategies which aid wise spending. The article goes on to provide an introduction to economic reasoning related to consumer purchases and focusing on the role of incentives, scarcity, and alternatives. Four teaching units follow…

  12. WISE Eyes the Whole Sky

    NASA Video Gallery

    This animation shows the progress of the WISE all-sky survey over time. WISE, or NASA's Wide-field Infrared Survey Explorer, is perched up in the sky like a wise, old owl, scanning the whole sky on...

  13. Using Medicines Wisely

    MedlinePlus

    ... Consumers Consumer Information by Audience For Women Use Medicines Wisely Share Tweet Linkedin Pin it More sharing ... or foods should I avoid? 2. Keep a Medicine List Write down the important facts about each ...

  14. Constructing a WISE High Resolution Galaxy Atlas

    NASA Technical Reports Server (NTRS)

    Jarrett, T. H.; Masci, F.; Tsai, C. W.; Petty, S.; Cluver, M.; Assef, Roberto J.; Benford, D.; Blain, A.; Bridge, C.; Donoso, E.; Eisenhardt, P.; Fowler, J.; Koribalski, B.; Lake, S.; Neill, James D.; Seibert, M.; Stanford, S.; Wright, E.

    2012-01-01

    After eight months of continuous observations, the Wide-field Infrared Survey Explorer (WISE) mapped the entire sky at 3.4 micron, 4.6 micron, 12 micron, and 22 micron. We have begun a dedicated WISE High Resolution Galaxy Atlas project to fully characterize large, nearby galaxies and produce a legacy image atlas and source catalog. Here we summarize the deconvolution techniques used to significantly improve the spatial resolution of WISE imaging, specifically designed to study the internal anatomy of nearby galaxies. As a case study, we present results for the galaxy NGC 1566, comparing the WISE enhanced-resolution image processing to that of Spitzer, Galaxy Evolution Explorer, and ground-based imaging. This is the first paper in a two-part series; results for a larger sample of nearby galaxies are presented in the second paper.

  15. Obscured AGNs in Bulgeless Hosts discovered by WISE: The Case Study of SDSS J1224+5555

    NASA Astrophysics Data System (ADS)

    Satyapal, S.; Secrest, N. J.; Rothberg, B.; O’Connor, J. A.; Ellison, S. L.; Hickox, R. C.; Constantin, A.; Gliozzi, M.; Rosenberg, J. L.

    2016-08-01

    There is mounting evidence that supermassive black holes (SMBHs) form and grow in bulgeless galaxies. However, a robust determination of the fraction of active galactic nuclei (AGNs) in bulgeless galaxies, an important constraint to models of SMBH seed formation and merger-free models of AGN fueling, is unknown, since optical studies have been shown to be incomplete for AGNs in low-mass galaxies. In a recent study using the Wide-field Infrared Survey Explorer, we discovered hundreds of bulgeless galaxies that display mid-infrared signatures of extremely hot dust suggestive of powerful accreting massive black holes, despite having no signatures of black hole activity at optical wavelengths. Here we report X-ray follow-up observations of J122434.66+555522.3, a nearby (z = 0.052) isolated bulgeless galaxy that contains an unresolved X-ray source detected at the 3σ level by XMM-Newton with an observed luminosity uncorrected for intrinsic absorption of {L}2-10{keV}=(1.1+/- 0.4)× {10}40 erg s‑1. Ground-based near-infrared spectroscopy with the Large Binocular Telescope and multiwavelength observations from ultraviolet to millimeter wavelengths together suggest that J1224+5555 harbors a highly absorbed AGN with an intrinsic absorption of {N}{{H}}\\gt {10}24 cm‑2. The hard X-ray luminosity of the putative AGN corrected for absorption is {L}2-10{keV}∼ 3× {10}42 erg s‑1, which, depending on the bolometric correction factor, corresponds to a bolometric luminosity of the AGN of {L}{bol}.∼ 6× {10}43‑3 × 1044 {erg} {{{s}}}-1 and a lower mass limit for the black hole of {M}{BH}≃ 2× {10}6 {M}ȯ , based on the Eddington limit. While enhanced X-ray emission and hot dust can be produced by star formation in extremely low metallicity environments typical in dwarf galaxies, J1224+5555 has a stellar mass of ∼ 2.0× {10}10 {M}ȯ and an above solar metallicity (12 + {logO}/{{H}} = 9.11), typical of our WISE-selected bulgeless galaxy sample. While collectively these

  16. Obscured AGNs in Bulgeless Hosts discovered by WISE: The Case Study of SDSS J1224+5555

    NASA Astrophysics Data System (ADS)

    Satyapal, S.; Secrest, N. J.; Rothberg, B.; O’Connor, J. A.; Ellison, S. L.; Hickox, R. C.; Constantin, A.; Gliozzi, M.; Rosenberg, J. L.

    2016-08-01

    There is mounting evidence that supermassive black holes (SMBHs) form and grow in bulgeless galaxies. However, a robust determination of the fraction of active galactic nuclei (AGNs) in bulgeless galaxies, an important constraint to models of SMBH seed formation and merger-free models of AGN fueling, is unknown, since optical studies have been shown to be incomplete for AGNs in low-mass galaxies. In a recent study using the Wide-field Infrared Survey Explorer, we discovered hundreds of bulgeless galaxies that display mid-infrared signatures of extremely hot dust suggestive of powerful accreting massive black holes, despite having no signatures of black hole activity at optical wavelengths. Here we report X-ray follow-up observations of J122434.66+555522.3, a nearby (z = 0.052) isolated bulgeless galaxy that contains an unresolved X-ray source detected at the 3σ level by XMM-Newton with an observed luminosity uncorrected for intrinsic absorption of {L}2-10{keV}=(1.1+/- 0.4)× {10}40 erg s‑1. Ground-based near-infrared spectroscopy with the Large Binocular Telescope and multiwavelength observations from ultraviolet to millimeter wavelengths together suggest that J1224+5555 harbors a highly absorbed AGN with an intrinsic absorption of {N}{{H}}\\gt {10}24 cm‑2. The hard X-ray luminosity of the putative AGN corrected for absorption is {L}2-10{keV}˜ 3× {10}42 erg s‑1, which, depending on the bolometric correction factor, corresponds to a bolometric luminosity of the AGN of {L}{bol}.˜ 6× {10}43‑3 × 1044 {erg} {{{s}}}-1 and a lower mass limit for the black hole of {M}{BH}≃ 2× {10}6 {M}ȯ , based on the Eddington limit. While enhanced X-ray emission and hot dust can be produced by star formation in extremely low metallicity environments typical in dwarf galaxies, J1224+5555 has a stellar mass of ˜ 2.0× {10}10 {M}ȯ and an above solar metallicity (12 + {logO}/{{H}} = 9.11), typical of our WISE-selected bulgeless galaxy sample. While collectively these

  17. Climate Cases: Learning about Student Conceptualizations of Global Climate Change

    ERIC Educational Resources Information Center

    Tierney, Benjamin P.

    2013-01-01

    The complex topic of global climate change continues to be a challenging yet important topic among science educators and researchers. This mixed methods study adds to the growing research by investigating student conceptions of climate change from a system theory perspective (Von Bertalanffy, 1968) by asking the question, "How do differences…

  18. Leading Educational Change Wisely

    ERIC Educational Resources Information Center

    Forrester, Gillian

    2011-01-01

    In this article, the author reviews Christopher Branson's book entitled "Leading Educational Change Wisely". The book provides an alternative and engaging perspective on leading educational change. Branson utilises "wisdom" as its central conceptual device to present a thought-provoking and philosophical account on how leaders are able to build a…

  19. Get SunWise

    ERIC Educational Resources Information Center

    Hagen, Patricia; Ingram, Dabney

    2004-01-01

    Providing sun-safe environments, schedules, and activities; teaching and modeling sun-safe behaviors; and implementing a sun-safe school policy are ways that schools can help protect children from sun overexposure and lay the foundation for a healthy lifestyle at an early age. This article presents the SunWise program and examples of classroom…

  20. Students' Perspective (Age Wise, Gender Wise and Year Wise) of Parameters Affecting the Undergraduate Engineering Education

    ERIC Educational Resources Information Center

    Kumari, Neeraj

    2014-01-01

    The objective of the study is to examine the students' perspective (age wise, gender wise and year wise) of parameters affecting the undergraduate engineering education system present in a private technical institution in NCR [National Capital Region], Haryana. It is a descriptive type of research in nature. The data has been collected with the…

  1. Growing controversy over "wise international water governance".

    PubMed

    Trondalen, J M

    2004-01-01

    This article takes the perspective that when political relationships are strained, there seem to be few examples of wise international water resources governance. The Middle East is a striking example. Much effort has been put into policy development and the design of international principles, but very little into the translation of those into concrete and lasting governance. One of the theses of the article is that politics--whether domestic or international--in most cases overrides these principles and standards. Moreover readymade regional co-operation models of water managements are not directly applicable to every geographical, political, economic and social setting. Certain factors are often under-estimated in international water negotiations, such as: the complexity of any hydro-political negotiations, and need to develop commonly accepted standards; the difficulty of translating policy--either politically or legally--into an operational and realistic negotiations strategy; the format of the procedures and meetings; recognition that third parties should have a long-term perspective on any conflict they get involved in. With reservations, the lessons learned indicate that the following factors have an impact on grid locked situations, such as: new substantive information; new trade-offs between the parties; and changed political climate or relationship with external power-brokers. PMID:15195417

  2. The wise leader.

    PubMed

    Nonaka, Ikujiro; Takeuchi, Hirotaka

    2011-05-01

    In an era of increasing discontinuity, wise leadership has nearly vanished. Many leaders find it difficult to reinvent their corporations rapidly enough to cope with new technologies, demographic shifts, and consumption trends. They can't develop truly global organizations that operate effortlessly across borders. And they find it tough to ensure that their people adhere to values and ethics. The authors assert that leaders must acquire practical wisdom, or what Aristotle called phronesis: experiential knowledge that enables people to make ethically sound judgments. Wise leaders demonstrate six abilities: (i) They make decisions on the basis of what is good for the organization and for society. (2) They quickly grasp the essence of a situation and fathom the nature and meaning of people, things, and events. (3) They provide contexts in which executives and employees can interact to create new meaning. (4) They employ metaphors and stories to convert their experience into tacit knowledge that others can use. (5) They exert political power to bring people together and spur them to act. (6) They use apprenticeship and mentoring to cultivate practical wisdom in orders. PMID:21548419

  3. WISE design for knowledge integration

    NASA Astrophysics Data System (ADS)

    Linn, Marcia C.; Clark, Douglas; Slotta, James D.

    2003-07-01

    Scaling research-based curriculum to the multitude of science teaching standards and contexts has proven difficult in the past. To respond to the challenge, the Web-based Inquiry Science Environment (WISE) offers designers a technology-enhanced, research-based, flexibly adaptive learning environment. The learning environment can incorporate new features such as modeling tools or hand-held devices. Using WISE, design teams can create projects that bend but do not break when customized to support new school contexts and state standards. WISE curriculum projects are created by diverse design teams that include classroom teachers, technologists, discipline experts, pedagogy researchers, and curriculum designers. WISE inquiry projects incorporate Internet materials and build on the commitments and talents of teachers as well as the constraints and opportunities of their classroom contexts rather than imposing new practices without concern for past successes. These design teams create projects that incorporate diverse features of the WISE learning environment to form specific patterns that are then combined into whole projects. We refer to the whole projects as implementing curriculum design patterns for student activities. The projects are tested to determine how the curriculum design patterns promote knowledge integration, then reviewed by WISE researchers and revised accordingly (see M. C. Linn, P. Bell, & E. A. Davis, in press, Internet Environments for Science Education). Hillsdale, NJ: Erlbaum.). The most successful projects become part of the WISE library. This paper describes WISE design team practices, features of the WISE learning environment, and patterns of feature use in current library projects. The success of WISE in classrooms illustrates how flexibly adaptive projects can meet the needs of diverse teachers. Variation amongst library projects shows that designers can support inquiry with a wide variety of activities. Taken together, the library of

  4. Choosing Wisely? Let’s Start with Working Wisely

    PubMed Central

    Wiesenfeld, Lesley; Sockalingam, Sanjeev

    2016-01-01

    There is an increasing emphasis on quality and, relatedly, cost-effectiveness as it relates to the delivery of health care. Choosing Wisely is an initiative adopted by numerous specialties with the goal of starting a dialogue about efficient use of health care resources. People need to be able to access care to have an opportunity to choose wisely. There is a considerable amount of evidence that access to care is poor for specialty mental health care, particularly access to psychiatrists. Consequently, we suggest that psychiatrists and the broader mental health system need to consider working wisely, and in our paper outline key issues (for example, implementation of wait times and objective measures of need in a centralized referral management system; incorporation of performance indicators with longitudinal monitoring for continuous quality improvement) that need to be addressed to develop a mental health system that would allow people to access care to choose wisely.

  5. WISE Education and Public Outreach

    NASA Astrophysics Data System (ADS)

    Mendez, Bryan; WISE Team

    2009-05-01

    The Education and Public Outreach (E/PO) Program for the Wide-field Infrared Survey Explorer (WISE) brings from around the nation a collection of accomplished professionals in formal and informal astronomy education to engage students, teachers, and the public in this exciting mission and its science. We designed our E/PO plan to (a) train WISE Educator Ambassadors in authentic infrared astronomy research, (b) create standards-based secondary curricula on exciting topics in infrared astronomy, (c) engage high school students in asteroid research, (d) develop interactive programming for museums and science centers, and (e) inspire and engage the public with WISE science and engineering.

  6. Reservoirs performances under climate variability: a case study

    NASA Astrophysics Data System (ADS)

    Longobardi, A.; Mautone, M.; de Luca, C.

    2014-09-01

    A case study, the Piano della Rocca dam (southern Italy) is discussed here in order to quantify the system performances under climate variability conditions. Different climate scenarios have been stochastically generated according to the tendencies in precipitation and air temperature observed during recent decades for the studied area. Climate variables have then been filtered through an ARMA model to generate, at the monthly scale, time series of reservoir inflow volumes. Controlled release has been computed considering the reservoir is operated following the standard linear operating policy (SLOP) and reservoir performances have been assessed through the calculation of reliability, resilience and vulnerability indices (Hashimoto et al. 1982), comparing current and future scenarios of climate variability. The proposed approach can be suggested as a valuable tool to mitigate the effects of moderate to severe and persistent droughts periods, through the allocation of new water resources or the planning of appropriate operational rules.

  7. unWISE: Unblurred coadds of the WISE imaging

    SciTech Connect

    Lang, Dustin

    2014-05-01

    The Wide-field Infrared Survey Explorer (WISE) satellite observed the full sky in four mid-infrared bands in the 2.8-28 μm range. The primary mission was completed in 2010. The WISE team has done a superb job of producing a series of high-quality, well-documented, complete data releases in a timely manner. However, the 'Atlas Image' coadds that are part of the recent AllWISE and previous data releases were intentionally blurred. Convolving the images by the point-spread function while coadding results in 'matched-filtered' images that are close to optimal for detecting isolated point sources. But these matched-filtered images are sub-optimal or inappropriate for other purposes. For example, we are photometering the WISE images at the locations of sources detected in the Sloan Digital Sky Survey through forward modeling, and this blurring decreases the available signal-to-noise by effectively broadening the point-spread function. This paper presents a new set of coadds of the WISE images that have not been blurred. These images retain the intrinsic resolution of the data and are appropriate for photometry preserving the available signal-to-noise. Users should be cautioned, however, that the W3- and W4-band coadds contain artifacts around large, bright structures (large galaxies, dusty nebulae, etc.); eliminating these artifacts is the subject of ongoing work. These new coadds, and the code used to produce them, are publicly available at http://unwise.me.

  8. Designing climate-smart conservation: guidance and case studies.

    PubMed

    Hansen, Lara; Hoffman, Jennifer; Drews, Carlos; Mielbrecht, Eric

    2010-02-01

    To be successful, conservation practitioners and resource managers must fully integrate the effects of climate change into all planning projects. Some conservation practitioners are beginning to develop, test, and implement new approaches that are designed to deal with climate change. We devised four basic tenets that are essential in climate-change adaptation for conservation: protect adequate and appropriate space, reduce nonclimate stresses, use adaptive management to implement and test climate-change adaptation strategies, and work to reduce the rate and extent of climate change to reduce overall risk. To illustrate how this approach applies in the real world, we explored case studies of coral reefs in the Florida Keys; mangrove forests in Fiji, Tanzania, and Cameroon; sea-level rise and sea turtles in the Caribbean; tigers in the Sundarbans of India; and national planning in Madagascar. Through implementation of these tenets conservation efforts in each of these regions can be made more robust in the face of climate change. Although these approaches require reconsidering some traditional approaches to conservation, this new paradigm is technologically, economically, and intellectually feasible. PMID:20121842

  9. WISE and the Dusty Universe

    NASA Technical Reports Server (NTRS)

    Benford, Dominic J.

    2010-01-01

    The Wide-field Infrared Survey is a medium class Explorer mission that was launched onl4Dec 2009. WISE should detect hundreds of millions of stars and galaxies, including millions of ULIRGS and QSOs; hundreds of thousands of asteroids; and hundreds of cold brown dwarfs. The telescope cover was ejected on 29 Dec 2009 and the all-sky survey started on 14 Jan 2010. WISE takes more the 7000 framesets per day, with each frameset covering 0.6 square degrees in four bands centered at 3.4, 4.6, 12 and 22 microns. WISE is well-suited to the discovery of brown dwarfs, ultraluminous infrared galaxies, and near-Earth objects. With an angular resolution of 6 arcsecouds at 12 microns, a 5(sigma) point-source sensitivity of around 1 mJy at 12 microns and 6 mJy at 22 microns, and coverage of over 99% of the sky, WISE also provides a powerful database for the study of the dusty ISM in our own galaxy. A preliminary release of WISE data will be made available to the community 6 months after the end of the cryogenic survey, or about May 2011. The final data release will be 11 months later, about April 2012.

  10. Searching for Outer Planet Debris Disks/Rings with WISE

    NASA Astrophysics Data System (ADS)

    Skrutskie, M. F.; Masci, F.; Fowler, J.; Cutri, R. M.; Verbiscer, A.; Wright, E. L.

    2011-10-01

    The NASA Wide-Field Infrared Survey Explorer (WISE) imaged the entire celestial sphere at 3.4, 4.6, 12, and 22μm during its 9 month cryogenic survey mission with typical 5-sigma sensitivity for point source detection near the ecliptic of 0.08, 0.11, 1, and 6 mJy (Wright et al. 2010). In addition to the detection of hundreds of millions of stars and galaxies as well as a vast number of known and new asteroids (Mainzer et al. 2011), WISE was sensitive to extended emission from warm dust in the Solar System, for example from zodiacal dust bands and comet debris trails. WISE also scanned all of the superior planets during its mission, encountering them serendipitously during normal Survey operations. This paper presents the result of searches for dust emission originating from irregular satellite impact debris or activity around Jupiter, Saturn, Uranus and Neptune, primarily in the longest wavelength band at 22μm. WISE delivered angular resolution of 6 arcseconds in the three shorterwavelength bands and 12 arcseconds in the band most suited for outer Solar System dust detection at 22μm. Jupiter and Saturn heavily saturate the detectors and scattered light limits the inner radius for analysis. Since WISE acquired its observations over many days, and in some cases weeks, we have constructed deep coadds in the frame of the moving planet rather than using standard WISE Atlas Image Coadds. WISE typically dedicated about 70 sec of observation to each point on the sky near the ecliptic plane, so WISE observations are not nearly as sensitive as those possible with the Spitzer Space Telescope during its cryogenic mission. All of the giant planets were located in a region of the sky scanned in the second half of WISE's all-sky coverage. As a result none of these fields was included in the 57% of the sky covered in the April 2011 WISE Preliminary Data Release. At the time of the WISE Final Data Release, planned for Spring 2012, the individual calibrated "Level 1" frames

  11. Public Perception of Climate Risk: The Case of Greece

    NASA Astrophysics Data System (ADS)

    Voskaki, Asimina; Tsermenidis, Konstantinos

    2015-04-01

    Climate change is generally considered as one of the greatest challenges our world is facing. In the case of Greece climatic change seems to be associated with sea level rise, increase in temperature, variation in precipitation patterns, and extreme weather events. As a result of climate pattern changes a series of consequences are expected in areas involving build environment, infrastructures, health and various sectors of the economy. Even though climate change is probably going to affect Greece in terms of human welfare and economic growth, public perception and attitude do not always identify it as the most important, amongst others, environmental area of concern, or compared to various socio-economic issues. Considering that topics related to climate change involve a certain degree of uncertainty public perception seems to be important when dealing with adaptation strategies to manage or prevent risks from climate change impact and therefore people's reaction to risks seem to be an issue of great importance in future policy planning and implementation. The key issue of this paper is to investigate and analyse public perception in Greece as regards to climate change risk. Through a questionnaire survey this research investigates people's understanding, specific knowledge, opinion, awareness, emotions, behavior with regards to climate change risks and their willingness to pay in order to minimize or prevent risk. In addition, it examines people's willingness to alter current lifestyle and adapt to a changing climate. The information derived from survey data concern the topics and the perceived importance of the causes of the climate change between certain groups of people; the analysis of the data is focused on the correlation between perceived risk and knowledge about the issues involved. Rather than applying a specific technique extensively, we choose to deploy a number of methodologies with which we are able to draw different aspects from the data. To this

  12. Asia Wise Workbook Number One.

    ERIC Educational Resources Information Center

    Tasmanian Education Dept., Hobart (Australia).

    This workbook is a compilation of work sheets from the teacher's sections of the 1989 issues of "Asia Wise," an Auatralian magazine devoted to the study of Asia. Profiles and worksheets are provided for the countries of China, Indo-China, Indonesia, Japan, Philippines, and Thailand. Worksheets feature the following themes: Asian Australians; food…

  13. Climate change and animal diseases: making the case for adaptation.

    PubMed

    Cáceres, Sigfrido Burgos

    2012-12-01

    The exponential expansion of the human population has led to overexploitation of resources and overproduction of items that have caused a series of potentially devastating effects, including ocean acidification, ozone depletion, biodiversity loss, the spread of invasive flora and fauna and climatic changes - along with the emergence of new diseases in animals and humans. Climate change occurs as a result of imbalances between incoming and outgoing radiation in the atmosphere. This process generates heat. As concentrations of atmospheric gases reach record levels, global temperatures are expected to increase significantly. The hydrologic cycle will be altered, since warmer air can retain more moisture than cooler air. This means that some geographic areas will have more rainfall, whereas others have more drought and severe weather. The potential consequences of significant and permanent climatic changes are altered patterns of diseases in animal and human populations, including the emergence of new disease syndromes and changes in the prevalence of existing diseases. A wider geographic distribution of known vectors and the recruitment of new strains to the vector pool could result in infections spreading to more and potentially new species of hosts. If these predictions turn out to be accurate, there will be a need for policymakers to consider alternatives, such as adaptation. This review explores the linkages between climate change and animal diseases, and examines interrelated issues that arise from altered biological dynamics. Its aim is to consider various risks and vulnerabilities and to make the case for policies favoring adaptation. PMID:23253166

  14. DOE climate partnerships

    SciTech Connect

    Stoss, F.

    1995-12-31

    This article briefly describes US DOE partnerships, with electrical utilities and with US EPA and industry, which focus on reduction in greenhouse gasses. They are called `Climate Challenge` and `Climate Wise.`

  15. Warm Debris Disks from WISE

    NASA Technical Reports Server (NTRS)

    Padgett, Deborah L.

    2011-01-01

    "The Wide Field Infrared Survey Explorer (WISE) has just completed a sensitive all-sky survey in photometric bands at 3.4, 4.6, 12, and 22 microns. We report on a preliminary investigation of main sequence Hipparcos and Tycho catalog stars with 22 micron emission in excess of photospheric levels. This warm excess emission traces material in the circumstellar region likely to host terrestrial planets and is preferentially found in young systems with ages < 1 Gyr. Nearly a hundred new warm debris disk candidates are detected among FGK stars and a similar number of A stars within 120 pc. We are in the process of obtaining spectra to determine spectral types and activity level of these stars and are using HST, Herschel and Keck to characterize the dust, multiplicity, and substellar companions of these systems. In this contribution, we will discuss source selection methods and individual examples from among the WISE debris disk candidates. "

  16. [Choosing wisely in internal medicine].

    PubMed

    Hasenfuß, G; Märker-Hermann, E; Hallek, M; Fölsch, U R

    2016-06-01

    "Choosing wisely - DGIM" is an initiative of the German Society of Internal Medicine (DGIM) to strengthen the quality of diagnostics and indications for therapy. Aspects of inappropriate patient care are identified based on scientific evidence in collaboration with12 internal medicine and associated societies. Identified aspects are reviewed and endorsed by an interdisciplinary consensus committee. Addressed are those diagnostic and therapeutic measures which are rarely used despite scientific evidence of their usefulness and those which are frequently used although clear evidence exists that the measures are not useful or even harmful. The resulting positive or negative recommendations are intended to support physicians in the assessment of indications. The relevance of the "Choosing wisely - DGIM" initiative is confirmed by a survey involving 4200 members of DGIM. PMID:27251671

  17. Trauma and the wise baby.

    PubMed

    Kilborne, Benjamin

    2011-09-01

    This paper expands upon Ferenczi's concept of the wise baby and explores the dynamics of ignorance and compensatory ideals of wisdom as reactions to trauma and as manifestations of "double conscience," shame dynamics and Oedipal shame. Focusing on feelings of ignorance, of knowing and not knowing and their relation to trauma, the author elaborates on the dynamics of fantasies of wisdom, adumbrating implications for psychoanalytic technique. PMID:21818096

  18. 76 FR 71341 - BASINS and WEPP Climate Assessment Tools: Case Study Guide to Potential Applications

    Federal Register 2010, 2011, 2012, 2013, 2014

    2011-11-17

    ... Climate Assessment Tools (CAT): Case Study Guide to Potential Applications (EPA/600/R-11/123A). EPA also... Assessment Tool (BASINS CAT) and the Water Erosion Prediction Project Climate Assessment Tool (WEPPCAT),...

  19. Climate Change Vulnerability Assessments: Four Case Studies of Water Utility Practices (2011 Final)

    EPA Science Inventory

    EPA is releasing the final report titled, Climate Change Vulnerability Assessments: Four Case Studies of Water Utility Practices. This report was prepared by the National Center for Environmental Assessment's Global Climate Research Staff in the Office of Research and Developmen...

  20. Cure-WISE: HETDEX data reduction with Astro-WISE

    NASA Astrophysics Data System (ADS)

    Snigula, J. M.; Cornell, M. E.; Drory, N.; Fabricius, Max.; Landriau, M.; Hill, G. J.; Gebhardt, K.

    2012-09-01

    The Hobby-Eberly Telescope Dark Energy Experiment (HETDEX) is a blind spectroscopic survey to map the evolution of dark energy using Lyman-alpha emitting galaxies at redshifts 1:9 < z < 3:5 as tracers. The survey instrument, VIRUS, consists of 75 IFUs distributed across the 22-arcmin field of the upgraded 9.2-m HET. Each exposure gathers 33,600 spectra. Over the projected five year run of the survey we expect about 170 GB of data per night. For the data reduction we developed the Cure pipeline. Cure is designed to automatically find and calibrate the observed spectra, subtract the sky background, and detect and classify different types of sources. Cure employs rigorous statistical methods and complete pixel-level error propagation throughout the reduction process to ensure Poisson-limited performance and meaningful significance values. To automate the reduction of the whole dataset we implemented the Cure pipeline in the Astro-WISE framework. This integration provides for HETDEX a database backend with complete dependency tracking of the various reduction steps, automated checks, and a searchable interface to the detected sources and user management. It can be used to create various web interfaces for data access and quality control. Astro-WISE allows us to reduce the data from all the IFUs in parallel on a compute cluster. This cluster allows us to reduce the observed data in quasi real time and still have excess capacity for rerunning parts of the reduction. Finally, the Astro-WISE interface will be used to provide access to reduced data products to the general community.

  1. Cure-WISE: HETDEX Data Reduction with Astro-WISE

    NASA Astrophysics Data System (ADS)

    Snigula, J. M.; Drory, N.; Fabricius, M.; Landriau, M.; Montesano, F.; Hill, G. J.; Gebhardt, K.; Cornell, M. E.

    2014-05-01

    The Hobby-Eberly Telescope Dark Energy Experiment (HETDEX, Hill et al. 2012b) is a blind spectroscopic survey to map the evolution of dark energy using Lyman-alpha emitting galaxies at redshifts 1.9< ɀ <3.5 as tracers. The survey will use an array of 75 integral field spectrographs called the Visible Integral field Replicable Unit (IFU) Spectrograph (VIRUS, Hill et al. 2012c). The 10m HET (Ramsey et al. 1998) currently receives a wide-field upgrade (Hill et al. 2012a) to accomodate the spectrographs and to provide the needed field of view. Over the projected five year run of the survey we expect to obtain approximately 170 GB of data each night. For the data reduction we developed the Cure pipeline, to automatically find and calibrate the observed spectra, subtract the sky background, and detect and classify different types of sources. Cure employs rigorous statistical methods and complete pixel-level error propagation throughout the reduction process to ensure Poisson-limited performance and meaningful significance values. To automate the reduction of the whole dataset we implemented the Cure pipeline in the Astro-WISE framework. This integration provides for HETDEX a database backend with complete dependency tracking of the various reduction steps, automated checks, and a searchable interface to the detected sources and user management. It can be used to create various web interfaces for data access and quality control. Astro-WISE allows us to reduce the data from all the IFUs in parallel on a compute cluster. This cluster allows us to reduce the observed data in quasi real time and still have excess capacity for rerunning parts of the reduction. Finally, the Astro-WISE interface will be used to provide access to reduced data products to the general community.

  2. Distances to WISE Y dwarfs

    NASA Astrophysics Data System (ADS)

    Beichman; A., C.; Gelino; R., C.; Kirkpatrick, J. Davy

    The WISE satellite has detected some of the coldest, lowest mass objects in the solar neighborhood. These late T and early Y dwarfs have effective temperatures in the range 250-800 K and inferred masses in the range 5-25 MJup. A critical piece of information for determining the physical properties of a brown dwarf is its distance, which greatly improves the comparison with evolutionary models. We discuss the importance of Y dwarfs in the context of star and planet formation. We also update our recent paper on Y dwarf parallaxes with improved values for four objects based on recent observations.

  3. Expression of Wise in chick embryos.

    PubMed

    Shigetani, Y; Itasaki, N

    2007-08-01

    We have performed in situ hybridization to study the expression of Wise in early chick embryos. Wise expression is first detectable in the ectoderm at posterior levels of late neurula. As development proceeds, Wise expression is seen in specific patterns in the ectoderm of the trunk region, pharyngeal arches, limb buds, and feather buds. In addition to these areas, particular cartilages such as the ones in the maxillary process and limbs start to express Wise at the late pharyngula stage, and the expression in these cartilages becomes stronger than that in epidermal components at later stages. Importantly, Wise is expressed in regions where other signaling molecules such as Wnt, Bmp, and Shh are known to function in morphogenesis and differentiation. Direct comparisons of the expression of Wise and these genes are also demonstrated. PMID:17654720

  4. WISE Photometry for 400 Million SDSS Sources

    NASA Astrophysics Data System (ADS)

    Lang, Dustin; Hogg, David W.; Schlegel, David J.

    2016-02-01

    We present photometry of images from the Wide-Field Infrared Survey Explorer (WISE) of over 400 million sources detected by the Sloan Digital Sky Survey (SDSS). We use a “forced photometry” technique, using measured SDSS source positions, star-galaxy classification, and galaxy profiles to define the sources whose fluxes are to be measured in the WISE images. We perform photometry with The Tractor image modeling code, working on our “unWISE” coaddds and taking account of the WISE point-spread function and a noise model. The result is a measurement of the flux of each SDSS source in each WISE band. Many sources have little flux in the WISE bands, so often the measurements we report are consistent with zero given our uncertainties. However, for many sources we get 3σ or 4σ measurements; these sources would not be reported by the “official” WISE pipeline and will not appear in the WISE catalog, yet they can be highly informative for some scientific questions. In addition, these small-signal measurements can be used in stacking analyses at the catalog level. The forced photometry approach has the advantage that we measure a consistent set of sources between SDSS and WISE, taking advantage of the resolution and depth of the SDSS images to interpret the WISE images; objects that are resolved in SDSS but blended together in WISE still have accurate measurements in our photometry. Our results, and the code used to produce them, are publicly available at http://unwise.me.

  5. Case study applications of the BASINS climate assessment tool (CAT)

    EPA Science Inventory

    This EPA report will illustrate the application of different climate assessment capabilities within EPA’s BASINS modeling system for assessing a range of potential questions about the effects of climate change on streamflow and water quality in different watershed settings and us...

  6. Mapping Climate Change: Six U.S. Case Studies

    ERIC Educational Resources Information Center

    Holmberg, Marjorie O.

    2010-01-01

    This research focuses on the current role of mapping practices in communicating climate change in the United States. This includes maps used in monitoring climate change, projecting its potential impacts, and identifying potential adaptation strategies at particular scales. Since few, if any, studies have been done specifically on mapping…

  7. Human Responses to Climate Variability: The Case of South Africa

    NASA Astrophysics Data System (ADS)

    Oppenheimer, M.; Licker, R.; Mastrorillo, M.; Bohra-Mishra, P.; Estes, L. D.; Cai, R.

    2014-12-01

    Climate variability has been associated with a range of societal and individual outcomes including migration, violent conflict, changes in labor productivity, and health impacts. Some of these may be direct responses to changes in mean temperature or precipitation or extreme events, such as displacement of human populations by tropical cyclones. Others may be mediated by a variety of biological, social, or ecological factors such as migration in response to long-term changes in crops yields. Research is beginning to elucidate and distinguish the many channels through which climate variability may influence human behavior (ranging from the individual to the collective, societal level) in order to better understand how to improve resilience in the face of current variability as well as future climate change. Using a variety of data sets from South Africa, we show how climate variability has influenced internal (within country) migration in recent history. We focus on South Africa as it is a country with high levels of internal migration and dramatic temperature and precipitation changes projected for the 21st century. High poverty rates and significant levels of rain-fed, smallholder agriculture leave large portions of South Africa's population base vulnerable to future climate change. In this study, we utilize two complementary statistical models - one micro-level model, driven by individual and household level survey data, and one macro-level model, driven by national census statistics. In both models, we consider the effect of climate on migration both directly (with gridded climate reanalysis data) and indirectly (with agricultural production statistics). With our historical analyses of climate variability, we gain insights into how the migration decisions of South Africans may be influenced by future climate change. We also offer perspective on the utility of micro and macro level approaches in the study of climate change and human migration.

  8. WISE Finds Fewer Asteroids near Earth

    NASA Video Gallery

    New observations by NASA's Wide-field Infrared Survey Explorer, orWISE, show there are significantly fewer near-Earth asteroids in themid-size range than previously thought.› Asteroid and Come...

  9. Herschel Observations of Debris Disks from WISE

    NASA Technical Reports Server (NTRS)

    Padgett, D. L.; Stapelfeldt, K. R.; Liu, W.; Leisawitz, D. T.; Fajardo-Acosta, S.

    2012-01-01

    The \\Vide Field Infrared Survey Explorer (WISE) has just completed a sensitive all-sky survey in photometric bands at 3.4, 4.6,12 and 22 microns. We report on a study of main sequence Hipparcos and Tycho catalog stars within 120 pc with WISE 22 micron emission in excess of photospheric levels. This warm excess emission traces material in the circumstellar region likely to host terrestrial planets and is preferentially found in young systems with ages < 1 Gyr. Nearly a hundred of the WISE new warm debris disk candidates detected among FGK stars are being observed by Herschel/PACS to characterize circumstellar dust. Preliminary results indicate 70 micron detection rates in excess of 80% for these targets, suggesting that most of these systems have both warm and cool dust in analogy to our asteroid and Kuiper belts. In this contribution, we will discuss the WISE debris disk survey and latest results from Herschel observations of these sources.

  10. Climate change, water rights, and agriculture: A case study in Idaho

    NASA Astrophysics Data System (ADS)

    Balcerak, Ernie

    2014-05-01

    Water supply is important to agriculture and other consumptive uses in the arid and semiarid climate zones, but it has become increasingly uncertain under a changing climate. More important, how agricultural output will be affected may depend on how water resources are allocated based on the dominant sharing rule, according to Xu et al., who conducted a case study in Idaho.

  11. The Waste Wise Schools Program: Evidence of Educational, Environmental, Social and Economic Outcomes at the School and Community Level

    ERIC Educational Resources Information Center

    Armstrong, Patricia; Sharpley, Brian; Malcolm, Stephen

    2004-01-01

    The Waste Wise Schools Program was established by EcoRecycle Victoria to implement waste and litter education in Victorian schools. It is now operating in over 900 schools in Victoria and 300 schools in other Australian states / territories. This paper provides detailed case studies of two active schools in the Waste Wise Schools Program and…

  12. Dynamic Chord-wise Tip Curvature on Flexible Flapping Plates

    NASA Astrophysics Data System (ADS)

    Martin, Nathan; Gharib, Morteza

    2014-11-01

    The aerodynamic characteristics of long rectangular flapping plates are strongly influenced by the interaction between tip and edge vortices. This has led to the development of many tip actuation mechanisms to independently bend or rotate the tip towards the root of the plate in the span-wise direction. In our current work, the influence of dynamically altering the chord-wise curvature of the tip on the generation of aerodynamic forces is investigated; for this case, the two free corners of the flat plate bend towards each other. The parameters of actuation timing, maximum curvature, Reynolds number, flexibility, and tip speed are independently varied to determine their influence. These results will further the fundamental understanding of unsteady aerodynamics. This material is based upon work supported by the National Science Foundation Graduate Research Fellowship and the Gordon and Betty Moore foundation.

  13. The Piece Wise Linear Reactive Flow Model

    SciTech Connect

    Vitello, P; Souers, P C

    2005-08-18

    For non-ideal explosives a wide range of behavior is observed in experiments dealing with differing sizes and geometries. A predictive detonation model must be able to reproduce many phenomena including such effects as: variations in the detonation velocity with the radial diameter of rate sticks; slowing of the detonation velocity around gentle corners; production of dead zones for abrupt corner turning; failure of small diameter rate sticks; and failure for rate sticks with sufficiently wide cracks. Most models have been developed to explain one effect at a time. Often, changes are made in the input parameters used to fit each succeeding case with the implication that this is sufficient for the model to be valid over differing regimes. We feel that it is important to develop a model that is able to fit experiments with one set of parameters. To address this we are creating a new generation of models that are able to produce better fitting to individual data sets than prior models and to simultaneous fit distinctly different regimes of experiments. Presented here are details of our new Piece Wise Linear reactive flow model applied to LX-17.

  14. Reservoir operation under variable climate: Case of Rozva Dam, Zimbabwe

    NASA Astrophysics Data System (ADS)

    Ncube, S. P.; Makurira, H.; Kaseke, E.; Mhizha, A.

    The challenge of maintaining or improving the quality of rural livelihoods against the increasing threat of climate change (CC) and climate variability (CV) calls for the development of robust and tested systems, tools and procedures for the management of water resources. The research aimed at assessing reservoir operation under variable climate for Rozva Dam, a medium-sized reservoir in Zimbabwe. Rozva Dam is located in the Bikita District of Zimbabwe and has a full supply capacity of 2.8 Mm 3 at a maximum water level of 17.3 m. The research analysed 46 years of rainfall and temperature data to assess climate variability and or change. The CROPWAT model was used to estimate crop water requirements for the adjacent 80 hectare irrigation scheme. The WAFLEX model was applied to simulate the performance of the system under three scenarios: (1) existing demands and operational rules, (2) reduced water availability due to climate change, as predicted by the Ministry of Mines, but with increasing annual demands and (3) climate change situation coupled with change in irrigation technology. The results show a general decreasing linear trend for rainfall although the variance was not statistically significant at p = 0.05. A clearer cyclic pattern was observed for the decadal analysis. An increasing trend in both maximum and minimum temperature was observed although, again, these were not statistically significant with a Spearman’s rank correlation coefficient ( R sp) of below 0.5. The research used rainfall and temperature data as the basis for confirmation climate change and variability in the study area. Analyses show that the area is experiencing more of CV than CC. Modelling results show that the reservoir can satisfy current demands but will fail to cope under the forecasted increase in demand. The conclusions from the research are that the available water resources in the studied system are sufficient to satisfy the current demands. The predicted level of climate

  15. One hundred years: A collective case study of climate change education in Georgia

    NASA Astrophysics Data System (ADS)

    Bloch, Leonard Mark

    This collective case study examined how five K-12 science teachers taught about climate change during Fall 2013, and asked how the University of Georgia can support climate change education. The participants were all experienced teachers, and included: three high school teachers, a middle school teacher, and an elementary school teacher. 'Postcarbonism', an emerging theoretical framework, shaped the research and guided the analysis. The teachers varied in their teaching practices and in their conceptions of 'climate change', but they were united in: 1) their focus on mitigation over adaptation, and 2) presenting climate change as a remote problem with simple solutions. The teachers drew on varied resources, but in all cases, their most valuable resources were their own skills, knowledge and personality. The University of Georgia can support climate change education by developing locally relevant educational resources. Curriculum developers might consider building upon the work of outstanding teach.

  16. Leishmaniasis and Climate Change—Case Study: Argentina

    PubMed Central

    Salomón, Oscar Daniel; Quintana, María Gabriela; Mastrángelo, Andrea Verónica; Fernández, María Soledad

    2012-01-01

    Vector-borne diseases closely associated with the environment, such as leishmaniases, have been a usual argument about the deleterious impact of climate change on public health. From the biological point of view interaction of different variables has different and even conflicting effects on the survival of vectors and the probability transmission of pathogens. The results on ecoepidemiology of leishmaniasis in Argentina related to climate variables at different scales of space and time are presented. These studies showed that the changes in transmission due to change or increase in frequency and intensity of climatic instability were expressed through changes in the probability of vector-human reservoir effective contacts. These changes of contact in turn are modulated by both direct effects on the biology and ecology of the organisms involved, as by perceptions and changes in the behavior of the human communities at risk. Therefore, from the perspective of public health and state policy, and taking into account the current nonlinear increased velocity of climate change, we concluded that discussing the uncertainties of large-scale models will have lower impact than to develop-validate mitigation strategies to be operative at local level, and compatibles with sustainable development, conservation biodiversity, and respect for cultural diversity. PMID:22685477

  17. Recent Extremes in European Climate: Assessment, Case Studies and Impacts

    NASA Astrophysics Data System (ADS)

    Yiou, P.; Vautard, R.; D'Andrea, F.; Cattiaux, J.; Naveau, P.; Ciais, P.; Garnier, E.

    2008-12-01

    During the last centuries and up to the present decade, extreme climate events have certainly had larger economic impacts than any trend of temperature in Europe. In addition to an intrinsic scientific interest, their study is thus essential for society. One of the challenges of their investigation is that, depending on their definition, extreme climate events potentially have a behavior that is not connected to the secular temperature trend in a simple fashion. This presentation will review the statistical assessments of extremes in Europe, focusing on surface temperature, precipitation, and their connections with large-scale features of the atmospheric circulation. In particular, the questions of modeling their severity and frequency will be discussed in the first part of the presentation. I will then give two kinds of examples of European climate extremes: summer heatwaves and droughts, and winter warm waves. The mechanisms leading to such phenomena will be explored, and I will examine some of the impacts on the biosphere that were recently observed. In order to provide a long term perspective of those events, examples of historical droughts in France will be presented and connected with proxy records of temperature. It appears that the mechanisms that are favored for present-day climate might still have been valid during the past centuries. To conclude, new challenges for dynamical and statistical modeling will be explored.

  18. Non-linearity dynamics in ecosystem response to climate change: Case studies and policy implications

    USGS Publications Warehouse

    Burkett, V.R.; Wilcox, D.A.; Stottlemyer, R.; Barrow, W.; Fagre, D.; Baron, J.; Nielsen, J.L.; Allen, C.D.; Peterson, D.L.; Ruggerone, G.; Doyle, T.

    2005-01-01

    Many biological, hydrological, and geological processes are interactively linked in ecosystems. These ecological phenomena normally vary within bounded ranges, but rapid, nonlinear changes to markedly different conditions can be triggered by even small differences if threshold values are exceeded. Intrinsic and extrinsic ecological thresholds can lead to effects that cascade among systems, precluding accurate modeling and prediction of system response to climate change. Ten case studies from North America illustrate how changes in climate cna lead to rapid, threshold-type responses within ecological communities; the case studies also highlight the role of human activities that alter the rate or direction of system response to climate change. Understanding and anticipating nonlinear dynamics are important aspects of adaptation planning since responses of biological resources to changes in the physical climate system are not necessarily proportional and sometimes, as in the case of complex ecological systems, inherently nonlinear.

  19. Nonlinear dynamics in ecosystem response to climatic change: Case studies and policy implications

    USGS Publications Warehouse

    Burkett, Virginia R.; Wilcox, Douglas A.; Stottlemyer, Robert; Barrow, Wylie; Fagre, Dan; Baron, Jill; Price, Jeff; Nielsen, Jennifer L.; Allen, Craig D.; Peterson, David L.; Ruggerone, Greg; Doyle, Thomas

    2005-01-01

    Many biological, hydrological, and geological processes are interactively linked in ecosystems. These ecological phenomena normally vary within bounded ranges, but rapid, nonlinear changes to markedly different conditions can be triggered by even small differences if threshold values are exceeded. Intrinsic and extrinsic ecological thresholds can lead to effects that cascade among systems, precluding accurate modeling and prediction of system response to climate change. Ten case studies from North America illustrate how changes in climate can lead to rapid, threshold-type responses within ecological communities; the case studies also highlight the role of human activities that alter the rate or direction of system response to climate change. Understanding and anticipating nonlinear dynamics are important aspects of adaptation planning since responses of biological resources to changes in the physical climate system are not necessarily proportional and sometimes, as in the case of complex ecological systems, inherently nonlinear.

  20. Thermophysical modeling of main-belt asteroids from WISE data

    NASA Astrophysics Data System (ADS)

    Hanuš, J.; Delbó, M.; Durech, J.; Alí-Lagoa, V.

    2014-07-01

    We determine asteroid physical parameters such as size, surface roughness, albedo, and thermal inertia by applying the implementation of the thermophysical model (TPM) of Lagerros (1996; 1997; 1998) to the thermal data obtained by the NASA WISE satellite. We present thermophysical parameters for ˜150 asteroids, which gives us so far the largest sample of asteroids with determined values of thermal inertia. On several individual cases, we discuss the reliability of our determinations and limitations of the TPM method we use. As initial shapes, we adopt convex shape models from the DAMIT database (Durech et al., 2010) and present new determinations based on combined dense and sparse-in-time disk-integrated photometry and the lightcurve inversion method (Kaasalainen & Torppa 2001; Kaasalainen et al., 2001). We use thermal data from the WISE filters W3 and W4, as well as the data observed by the IRAS satellite. However, due to the intriguing accuracy of the fluxes and larger amount of measurements, the WISE data are significantly more important and dominate the modeling. The WISE data are processed the same way as in Alí-Lagoa et al. (2014) for asteroid (341 843) 2008 EV_5. We show the main results of the study of derived thermophysical parameters within the whole population of MBAs and within several asteroid families with the main focus on the thermal inertia. The thermal inertia increases with decreasing size (as previously shown by Delbó et al., 2007), but a large range of thermal inertia values is observed within the similar size ranges between D˜10-100 km. Surprisingly, we derived very low (<10 J m^{-2} s^{-1/2} K^{-1}) thermal inertias for many asteroids (˜20) with various sizes. The range of thermal inertia values is large even within a few asteroid families.

  1. Climate change and soil salinity: The case of coastal Bangladesh.

    PubMed

    Dasgupta, Susmita; Hossain, Md Moqbul; Huq, Mainul; Wheeler, David

    2015-12-01

    This paper estimates location-specific soil salinity in coastal Bangladesh for 2050. The analysis was conducted in two stages: First, changes in soil salinity for the period 2001-2009 were assessed using information recorded at 41 soil monitoring stations by the Soil Research Development Institute. Using these data, a spatial econometric model was estimated linking soil salinity with the salinity of nearby rivers, land elevation, temperature, and rainfall. Second, future soil salinity for 69 coastal sub-districts was projected from climate-induced changes in river salinity and projections of rainfall and temperature based on time trends for 20 Bangladesh Meteorological Department weather stations in the coastal region. The findings indicate that climate change poses a major soil salinization risk in coastal Bangladesh. Across 41 monitoring stations, the annual median projected change in soil salinity is 39 % by 2050. Above the median, 25 % of all stations have projected changes of 51 % or higher. PMID:26152508

  2. VOXEL-WISE GROUP ANALYSIS OF DTI

    PubMed Central

    Liu, Zhexing; Zhu, Hongtu; Marks, Bonita L.; Katz, Laurence M.; Goodlett, Casey B.; Gerig, Guido; Styner, Martin

    2013-01-01

    Diffusion tensor MRI (DTI) is now a widely used modality to investigate the fiber tissues in vivo, especially the white matter in brain. An automatic pipeline is described in this paper to conduct a localized voxel-wise multiple-subject group comparison study of DTI. The pipeline consists of 3 steps: 1) Preprocessing, including image format converting, image quality check, eddy-current and motion artifact correction, skull stripping and tensor image estimation, 2) study-specific unbiased DTI atlas computation via affine followed by fluid nonlinear registration and warping of all individual DTI images into the common atlas space to achieve voxel-wise correspondence, 3) voxelwise statistical analysis via heterogeneous linear regression and wild bootstrap technique for correcting for multiple comparisons. This pipeline was applied to process data from a fitness and aging study and preliminary results are presented. The results show that this fully automatic pipeline is suitable for voxel-wise group DTI analysis. PMID:23703686

  3. GridWise Standards Mapping Overview

    SciTech Connect

    Bosquet, Mia L.

    2004-04-01

    ''GridWise'' is a concept of how advanced communications, information and controls technology can transform the nation's energy system--across the spectrum of large scale, central generation to common consumer appliances and equipment--into a collaborative network, rich in the exchange of decision making information and an abundance of market-based opportunities (Widergren and Bosquet 2003) accompanying the electric transmission and distribution system fully into the information and telecommunication age. This report summarizes a broad review of standards efforts which are related to GridWise--those which could ultimately contribute significantly to advancements toward the GridWise vision, or those which represent today's current technological basis upon which this vision must build.

  4. VOXEL-WISE GROUP ANALYSIS OF DTI.

    PubMed

    Liu, Zhexing; Zhu, Hongtu; Marks, Bonita L; Katz, Laurence M; Goodlett, Casey B; Gerig, Guido; Styner, Martin

    2009-01-01

    Diffusion tensor MRI (DTI) is now a widely used modality to investigate the fiber tissues in vivo, especially the white matter in brain. An automatic pipeline is described in this paper to conduct a localized voxel-wise multiple-subject group comparison study of DTI. The pipeline consists of 3 steps: 1) Preprocessing, including image format converting, image quality check, eddy-current and motion artifact correction, skull stripping and tensor image estimation, 2) study-specific unbiased DTI atlas computation via affine followed by fluid nonlinear registration and warping of all individual DTI images into the common atlas space to achieve voxel-wise correspondence, 3) voxelwise statistical analysis via heterogeneous linear regression and wild bootstrap technique for correcting for multiple comparisons. This pipeline was applied to process data from a fitness and aging study and preliminary results are presented. The results show that this fully automatic pipeline is suitable for voxel-wise group DTI analysis. PMID:23703686

  5. Embracing Uncertainty: A Case Study Examination of How Climate Change is Shifting Water Utility Planning

    NASA Astrophysics Data System (ADS)

    Kaatz, L.

    2015-12-01

    Climate change has emerged as one of the greatest challenges facing water utilities' planning for the future, adding a new source and level of complexity that is forcing many agencies to re-examine their decision-making processes. A significant barrier for many agencies is figuring out how to consider highly uncertain climate information and move away from deterministic thinking to make climate-informed decisions. To provide water professionals with practical and relevant information, the Water Utility Climate Alliance teamed up with the American Water Works Association, in coordination with the Water Research Foundation and Association of Metropolitan Water Agencies, to develop a white paper sharing insights into how and why water agencies are modifying planning and decision-making processes. The 13 case studies presented illustrate the variety of ways in which utilities are incorporating climate change into planning, from immediate operational decisions, to capital planning and asset management, to long-term supply planning.

  6. Case studies of extreme climatic events in the Amazon basin

    NASA Technical Reports Server (NTRS)

    Marengo, Jose A.; Hastenrath, Stefan

    1993-01-01

    The present exploration of climate-anomaly mechanisms, on the basis of surface-climatological and hydrological series, as well as upper-air and satellite observations, gives attention to the March-April rainy season peak in northern Amazonia. While the moderately wet year 1986 exhibited a far-southerly location of the Atlantic near-equatorial trough, and an embedded intertropical convergence zone (ITCZ), the extremely dry El Nino year 1983 featured a more northerly ITCZ. Major mechanisms of extreme rainfall events are synthesized on the basis of these analyses.

  7. Development, malaria and adaptation to climate change: a case study from India.

    PubMed

    Garg, Amit; Dhiman, R C; Bhattacharya, Sumana; Shukla, P R

    2009-05-01

    India has reasons to be concerned about climate change. Over 650 million people depend on climate-sensitive sectors, such as rain-fed agriculture and forestry, for livelihood and over 973 million people are exposed to vector borne malarial parasites. Projection of climatic factors indicates a wider exposure to malaria for the Indian population in the future. If precautionary measures are not taken and development processes are not managed properly some developmental activities, such as hydro-electric dams and irrigation canal systems, may also exacerbate breeding grounds for malaria. This article integrates climate change and developmental variables in articulating a framework for integrated impact assessment and adaptation responses, with malaria incidence in India as a case study. The climate change variables include temperature, rainfall, humidity, extreme events, and other secondary variables. Development variables are income levels, institutional mechanisms to implement preventive measures, infrastructure development that could promote malarial breeding grounds, and other policies. The case study indicates that sustainable development variables may sometimes reduce the adverse impacts on the system due to climate change alone, while it may sometimes also exacerbate these impacts if the development variables are not managed well and therefore they produce a negative impact on the system. The study concludes that well crafted and well managed developmental policies could result in enhanced resilience of communities and systems, and lower health impacts due to climate change. PMID:19127377

  8. Development, Malaria and Adaptation to Climate Change: A Case Study from India

    NASA Astrophysics Data System (ADS)

    Garg, Amit; Dhiman, R. C.; Bhattacharya, Sumana; Shukla, P. R.

    2009-05-01

    India has reasons to be concerned about climate change. Over 650 million people depend on climate-sensitive sectors, such as rain-fed agriculture and forestry, for livelihood and over 973 million people are exposed to vector borne malarial parasites. Projection of climatic factors indicates a wider exposure to malaria for the Indian population in the future. If precautionary measures are not taken and development processes are not managed properly some developmental activities, such as hydro-electric dams and irrigation canal systems, may also exacerbate breeding grounds for malaria. This article integrates climate change and developmental variables in articulating a framework for integrated impact assessment and adaptation responses, with malaria incidence in India as a case study. The climate change variables include temperature, rainfall, humidity, extreme events, and other secondary variables. Development variables are income levels, institutional mechanisms to implement preventive measures, infrastructure development that could promote malarial breeding grounds, and other policies. The case study indicates that sustainable development variables may sometimes reduce the adverse impacts on the system due to climate change alone, while it may sometimes also exacerbate these impacts if the development variables are not managed well and therefore they produce a negative impact on the system. The study concludes that well crafted and well managed developmental policies could result in enhanced resilience of communities and systems, and lower health impacts due to climate change.

  9. Uncertainties in climate assessment for the case of aviation NO

    PubMed Central

    Holmes, Christopher D.; Tang, Qi; Prather, Michael J.

    2011-01-01

    Nitrogen oxides emitted from aircraft engines alter the chemistry of the atmosphere, perturbing the greenhouse gases methane (CH4) and ozone (O3). We quantify uncertainties in radiative forcing (RF) due to short-lived increases in O3, long-lived decreases in CH4 and O3, and their net effect, using the ensemble of published models and a factor decomposition of each forcing. The decomposition captures major features of the ensemble, and also shows which processes drive the total uncertainty in several climate metrics. Aviation-specific factors drive most of the uncertainty for the short-lived O3 and long-lived CH4 RFs, but a nonaviation factor dominates for long-lived O3. The model ensemble shows strong anticorrelation between the short-lived and long-lived RF perturbations (R2 = 0.87). Uncertainty in the net RF is highly sensitive to this correlation. We reproduce the correlation and ensemble spread in one model, showing that processes controlling the background tropospheric abundance of nitrogen oxides are likely responsible for the modeling uncertainty in climate impacts from aviation. PMID:21690364

  10. Climate adaptation as mitigation: the case of agricultural investments

    NASA Astrophysics Data System (ADS)

    Lobell, David B.; Baldos, Uris Lantz C.; Hertel, Thomas W.

    2013-03-01

    Successful adaptation of agriculture to ongoing climate changes would help to maintain productivity growth and thereby reduce pressure to bring new lands into agriculture. In this paper we investigate the potential co-benefits of adaptation in terms of the avoided emissions from land use change. A model of global agricultural trade and land use, called SIMPLE, is utilized to link adaptation investments, yield growth rates, land conversion rates, and land use emissions. A scenario of global adaptation to offset negative yield impacts of temperature and precipitation changes to 2050, which requires a cumulative 225 billion USD of additional investment, results in 61 Mha less conversion of cropland and 15 Gt carbon dioxide equivalent (CO2e) fewer emissions by 2050. Thus our estimates imply an annual mitigation co-benefit of 0.35 GtCO2e yr-1 while spending 15 per tonne CO2e of avoided emissions. Uncertainty analysis is used to estimate a 5-95% confidence interval around these numbers of 0.25-0.43 Gt and 11-22 per tonne CO2e. A scenario of adaptation focused only on Sub-Saharan Africa and Latin America, while less costly in aggregate, results in much smaller mitigation potentials and higher per tonne costs. These results indicate that although investing in the least developed areas may be most desirable for the main objectives of adaptation, it has little net effect on mitigation because production gains are offset by greater rates of land clearing in the benefited regions, which are relatively low yielding and land abundant. Adaptation investments in high yielding, land scarce regions such as Asia and North America are more effective for mitigation. To identify data needs, we conduct a sensitivity analysis using the Morris method (Morris 1991 Technometrics 33 161-74). The three most critical parameters for improving estimates of mitigation potential are (in descending order) the emissions factors for converting land to agriculture, the price elasticity of land supply

  11. Focal Plane Arrays and Electronics for WISE

    NASA Astrophysics Data System (ADS)

    Masterjohn, Stacy; Hogue, H.; Mattson, R.; Dawson, L.; Bojorquez, A.; Muzilla, M.

    2009-01-01

    DRS provided the four channel focal plane array system for the Wide-field Infrared Survey Explorer (WISE) payload. The two shorter wavelength bands, centered near 3.2 and 4.5 µm, employed 1024x1024 HAWAII 1RG Mercury Cadmium Telluride (MCT) FPAs obtained from Teledyne Imaging Systems, Inc. The two longer wavelength bands, centered near 12 and 24 µm, utilized 1024x1024 arsenic doped silicon (Si:As) Blocked Impurity Band (BIB) FPAs, which were developed for the program by DRS. DRS packaged the 4 FPAs into similar custom cryogenic modules, each with its own flexible cryogenic ribbon cable to route FPA image output signals from within the WISE cryogenic telescope assembly through the cryostat walls. DRS also designed the cables and a common flight electronics box (FEB) to operate all 4 FPAs to provide their multiplexed digital image data streams to subsequent on-payload data processing and downlink systems. Fully functional, non-flight versions of the cabling and FEB were built to operate the FPAs during payload integration. The FPA system was delivered to the WISE payload integrator Space Dynamics Laboratory (SDL) in late 2007, and it is currently being integrated in to the WISE payload.

  12. Should Students Be Made Test-Wise?

    ERIC Educational Resources Information Center

    Berliner, David; Casanova, Ursula

    1986-01-01

    Research shows that most students who received test-wiseness training scored much higher than did students of equal ability who had no training. Familiarity with the test format, the test-taking situation, and the conventions of the test contribute to good performance. (MT)

  13. WISE Inquiry in Fifth Grade Biology.

    ERIC Educational Resources Information Center

    Williams, Michelle; Linn, Marcia C.

    2002-01-01

    Reports on a two-year study designed to investigate how a Web-Based Integrated Science Environment (WISE) project called "Plants in Space" featuring classroom investigations enabled 5th grade students to increase their understanding of plant growth and development. Investigates two versions of the curriculum and considers how understanding of the…

  14. SunWise[R] Meteorologist Tool Kit

    ERIC Educational Resources Information Center

    US Environmental Protection Agency, 2007

    2007-01-01

    The SunWise Program is designed to help meteorologists raise sun safety awareness by addressing the science of the sun, the risk of overexposure to its ultraviolet (UV) radiation, and what students and their families can do to protect themselves from overexposure. This Tool Kit has been designed for use all over the United States and its…

  15. Climate services for the assessment of climate change impacts and risks in coastal areas at the regional scale: the North Adriatic case study (Italy).

    NASA Astrophysics Data System (ADS)

    Valentina, Gallina; Torresan, Silvia; Giannini, Valentina; Rizzi, Jonathan; Zabeo, Alex; Gualdi, Silvio; Bellucci, Alessio; Giorgi, Filippo; Critto, Andrea; Marcomini, Antonio

    2013-04-01

    At the international level, the interest for climate services is rising due to the social and economic benefits that different stakeholders can achieve to manage climate risks and take advantage of the opportunities associated with climate change impacts. However, there is a significant gap of tools aimed at providing information about risks and impacts induced by climate change and allowing non-expert stakeholders to use both climate-model and climate-impact data. Within the CLIM-RUN project (FP7), the case study of the North Adriatic Sea is aimed at analysing the need of climate information and the effectiveness of climate services for the integrated assessment of climate change impacts in coastal zones of the North Adriatic Sea at the regional to local scale. A participative approach was developed and applied to identify relevant stakeholders which have a mandate for coastal zone management and to interact with them in order to elicit their climate information needs. Specifically, the participative approach was carried out by means of two local workshops and trough the administration of a questionnaire related to climate information and services. The results of the process allowed identifying three major themes of interest for local stakeholders (i.e. hydro-climatic regime, coastal and marine environment, agriculture) and their preferences concerning key climate variables (e.g. extreme events, sea-level, wave height), mid-term temporal projections (i.e. for the next 30-40 years) and medium-high spatial resolution (i.e. from 1 to 50 km). Furthermore, the workshops highlighted stakeholder concern about several climate-related impacts (e.g. sea-level rise, storm surge, droughts) and vulnerable receptors (e.g. beaches, wetlands, agricultural areas) to be considered in vulnerability and risk assessment studies for the North Adriatic coastal zones. This information was used by climate and environmental risk experts in order to develop targeted climate information and

  16. Diving deaths - use words wisely.

    PubMed

    Capps, Roger

    2008-03-01

    Dear Editor, I have just been reading the article by Andrew McClelland in the last issue and am suffering from the horrors and sleepless nights! In case report SC 03-01, for example (the healthy [sic] diver with a BMI of 36.5), it is reported "the deceased rapidly found it hard to swim". Was this establishing rigor mortis? The thought of "the deceased panicked and had a knife in his hands" and later, "the deceased was lunging with the knife" brings back to mind some zombie-type horror movies. Could you please give these articles a suitable warning rating? PMID:22692664

  17. A Case Study: Climate Change Decision Support for the Apalachicola, Chattahoochee, Flint Basins

    NASA Astrophysics Data System (ADS)

    Day, G. N.; McMahon, G.; Friesen, N.; Carney, S.

    2011-12-01

    Riverside Technology, inc. has developed a Climate Change Decision Support System (DSS) to provide water managers with a tool to explore a range of current Global Climate Model (GCM) projections to evaluate their potential impacts on streamflow and the reliability of future water supplies. The system was developed as part of a National Oceanic and Atmospheric Administration (NOAA) Small Business Innovation Research (SBIR) project. The DSS uses downscaled GCM data as input to small-scale watershed models to produce time series of projected undepleted streamflow for various emission scenarios and GCM simulations. Until recently, water managers relied on historical streamflow data for water resources planning. In many parts of the country, great effort has been put into estimating long-term historical undepleted streamflow accounting for regulation, diversions, and return flows to support planning and water rights administration. In some cases, longer flow records have been constructed using paleohydrologic data in an attempt to capture climate variability beyond what is evident during the observed historical record. Now, many water managers are recognizing that historical data may not be representative of an uncertain climate future, and they have begun to explore the use of climate projections in their water resources planning. The Climate Change DSS was developed to support water managers in planning by accounting for both climate variability and potential climate change. In order to use the information for impact analysis, the projected streamflow time series can be exported and substituted for the historical streamflow data traditionally applied in their system operations models for water supply planning. This paper presents a case study in which climate-adjusted flows are coupled with the U.S. Army Corps of Engineers (USACE) ResSim model for the Apalachicola, Chattahoochee, and Flint (ACF) River basins. The study demonstrates how climate scenarios can be used

  18. The impact of climate change on the BRICS economies: The case of insurance demand.

    NASA Astrophysics Data System (ADS)

    Ranger, N.; Surminski, S.

    2012-04-01

    Session ERE5.1 Climate change impact on economical and industrial activities The impact of climate change on the BRICS economies: The case of insurance demand. Over the past decade, growth in the BRICS (Brazil, Russia, India, China and South Africa) economies has been a key driver of global economic growth. Current forecasts suggest that these markets will continue to be areas of significant growth for a large number of industries. We consider how climate change may influence these trends in the period to 2030, a time horizon that is long in terms of strategic planning in industry, but relatively short for climate change analysis, where the impacts are predicted to be most significant beyond around 2050. Based on current evidence, we expect climate change to affect the BRICS economies in four main ways: 1. The impact of physical climatic changes on the productivity of climate-sensitive economic activity, the local environment, human health and wellbeing, and damages from extreme weather. 2. Changing patterns of investment in climate risk management and adaptation 3. Changing patterns of investments in areas affected by greenhouse gas (GHG) mitigation policy, 4. The impacts of the above globally, including on international trade, growth, investment, policy, migration and commodity prices, and their impacts on the BRICS. We review the evidence on the impacts of climate change in the BRICS and then apply this to one particular industry sector: non-life insurance. We propose five potential pathways through which climate change could influence insurance demand: economic growth; willingness to pay for insurance; public policy and regulation; the insurability of natural catastrophe risks; and new opportunities associated with adaptation and greenhouse gas mitigation. We conclude that, with the exception of public policy and regulation, the influence of climate change on insurance demand to 2030 is likely to be small when compared with the expected growth due to rising

  19. Towards automatic classification of all WISE sources

    NASA Astrophysics Data System (ADS)

    Kurcz, A.; Bilicki, M.; Solarz, A.; Krupa, M.; Pollo, A.; Małek, K.

    2016-07-01

    Context. The Wide-field Infrared Survey Explorer (WISE) has detected hundreds of millions of sources over the entire sky. Classifying them reliably is, however, a challenging task owing to degeneracies in WISE multicolour space and low levels of detection in its two longest-wavelength bandpasses. Simple colour cuts are often not sufficient; for satisfactory levels of completeness and purity, more sophisticated classification methods are needed. Aims: Here we aim to obtain comprehensive and reliable star, galaxy, and quasar catalogues based on automatic source classification in full-sky WISE data. This means that the final classification will employ only parameters available from WISE itself, in particular those which are reliably measured for the majority of sources. Methods: For the automatic classification we applied a supervised machine learning algorithm, support vector machines (SVM). It requires a training sample with relevant classes already identified, and we chose to use the SDSS spectroscopic dataset (DR10) for that purpose. We tested the performance of two kernels used by the classifier, and determined the minimum number of sources in the training set required to achieve stable classification, as well as the minimum dimension of the parameter space. We also tested SVM classification accuracy as a function of extinction and apparent magnitude. Thus, the calibrated classifier was finally applied to all-sky WISE data, flux-limited to 16 mag (Vega) in the 3.4 μm channel. Results: By calibrating on the test data drawn from SDSS, we first established that a polynomial kernel is preferred over a radial one for this particular dataset. Next, using three classification parameters (W1 magnitude, W1-W2 colour, and a differential aperture magnitude) we obtained very good classification efficiency in all the tests. At the bright end, the completeness for stars and galaxies reaches ~95%, deteriorating to ~80% at W1 = 16 mag, while for quasars it stays at a level of

  20. Climatic vs tectonic forcing: the case of Pamir

    NASA Astrophysics Data System (ADS)

    Gloaguen, Richard; Fuchs, Margret; Pohl, Eric; Sulaymonova, Vasila; Andreani, Louis

    2014-05-01

    Surface processes in Pamir are temporally and spatially extremely variables. Our collaborative research demonstrated that, (1) the controlling forces such as climate and tectonic deformation have evolved during the Quaternary, (2) Westerlies and Monsoon have varying domains of influence and (3) the rates of deformation, erosion and incision are locally extremely high. The determination of the localization and intensity of active tectonic structures was allowed by the production of remote sensing based geomorphometric maps combined with published GPS and seismological data. Incision rates were measured by OSL and cosmogenic dating of river terraces. Modern erosion rates were calculated using AMS 10Be concentrations in river sediments. Tectonic deformation principally occurs along the borders of the Pamir domes, probably along propagating strike-slip faults reactivating older structures such as sutures and dome bounding faults. Most rivers are in imbalance and witness a strong reorganization of the drainage system during the Late Quaternary. The Panj itself is built by the concatenation of rivers by successive captures, the last one probably younger than MIS2. The average incision rate of the Panj, the main river draining Pamir and its main tributaries is about 4 mm/yr. Peak incisions reach 10 mm/yr where river captures induced high offsets with respect to base levels. Erosion rates are high at the Pamir periphery (ca 0.7 mm/yr) and very low on the plateau (ca 0.005 mm/yr). The Pamir can be subdivided in zones in which specific controlling forces are dominating. The Pamir plateau is dominated by diffusive hillslope processes contributing to further flattening. The main rivers are located in or nearby active faults. High erosion rates are probably sustained by steep hillslopes generated by high incision rates. Highest erosion rates are found were both Monsoon and Westerlies occur.

  1. Communicating for Climate Change Adaptation: Lessons from a Case Study with Nature-Based Tour Operators

    NASA Astrophysics Data System (ADS)

    Timm, K.; Sparrow, E. B.; Pettit, E. C.; Trainor, S. F.; Taylor, K.

    2014-12-01

    Increasing temperatures are projected to have a positive effect on the length of Alaska's tourism season, but the natural attractions that tourism relies on, such as glaciers, wildlife, fish, or other natural resources, may change. In order to continue to derive benefits from these resources, nature-based tour operators may have to adapt to these changes, and communication is an essential, but poorly understood, component of the climate change adaptation process. The goal of this study was to determine how to provide useful climate change information to nature-based tour operators by answering the following questions: 1. What environmental changes do nature-based tour operators perceive? 2. How are nature-based tour operators responding to climate and environmental change? 3. What climate change information do nature-based tour operators need? To answer these questions, twenty-four nature-based tour operators representing 20 different small and medium sized businesses in Juneau, Alaska were interviewed. The results show that many of Juneau's nature-based tour operators are observing, responding to, and in some cases, actively planning for further changes in the environment. The types of responses tended to vary depending on the participants' certainty in climate change and the perceived risks to their organization. Using these two factors, this study proposes a framework to classify climate change responses for the purpose of generating meaningful information and communication processes that promote adaptation and build adaptive capacity. During the course of the study, several other valuable lessons were learned about communicating about adaptation. The results of this study demonstrate that science communication research has an important place in the practice of promoting and fostering climate change adaptation. While the focus of this study was tour operators, the lessons learned may be valuable to other organizations striving to engage unique groups in climate

  2. BASINS and WEPP Climate Assessment Tools (CAT): Case Study Guide to Potential Applications (External Review Draft)

    EPA Science Inventory

    This draft report supports application of two recently developed water modeling tools, the BASINS and WEPP climate assessment tools. The report presents a series of short case studies designed to illustrate the capabilities of these tools for conducting scenario based assessments...

  3. Basins and Wepp Climate Assessment Tools (Cat): Case Study Guide to Potential Applications (Final Report)

    EPA Science Inventory

    Cover of the BASINS and WEPP <span class=Climate Assessment Tool: Case Study Final report"> This final report supports application of two recently developed...

  4. Sensitivity of worst-case strom surge considering influence of climate change

    NASA Astrophysics Data System (ADS)

    Takayabu, Izuru; Hibino, Kenshi; Sasaki, Hidetaka; Shiogama, Hideo; Mori, Nobuhito; Shibutani, Yoko; Takemi, Tetsuya

    2016-04-01

    There are two standpoints when assessing risk caused by climate change. One is how to prevent disaster. For this purpose, we get probabilistic information of meteorological elements, from enough number of ensemble simulations. Another one is to consider disaster mitigation. For this purpose, we have to use very high resolution sophisticated model to represent a worst case event in detail. If we could use enough computer resources to drive many ensemble runs with very high resolution model, we can handle these all themes in one time. However resources are unfortunately limited in most cases, and we have to select the resolution or the number of simulations if we design the experiment. Applying PGWD (Pseudo Global Warming Downscaling) method is one solution to analyze a worst case event in detail. Here we introduce an example to find climate change influence on the worst case storm-surge, by applying PGWD to a super typhoon Haiyan (Takayabu et al, 2015). 1 km grid WRF model could represent both the intensity and structure of a super typhoon. By adopting PGWD method, we can only estimate the influence of climate change on the development process of the Typhoon. Instead, the changes in genesis could not be estimated. Finally, we drove SU-WAT model (which includes shallow water equation model) to get the signal of storm surge height. The result indicates that the height of the storm surge increased up to 20% owing to these 150 years climate change.

  5. Civic Engagement about Climate Change: A Case Study of Three Educators and Their Practice

    ERIC Educational Resources Information Center

    Chandler, Thomas; Marri, Anand R.

    2012-01-01

    This collective case study examined how three educators (a high school social studies teacher, a university social studies teacher educator, and minister teaching an adult population) used a multimedia based curriculum guide, "Teaching the Levees", to teach about climate change to examine public priorities in relation to the environment.…

  6. Submillimeter Follow-Up of WISE-Selected Hyperluminous Galaxies

    NASA Technical Reports Server (NTRS)

    Wu, Jingwen; Tsai, Chao-Wei; Sayers, Jack; Benford, Dominic; Bridge, Carrie; Blain, Andrew; Eisenhardt, Peter R.; Stern, Daniel; Petty, Sara; Assef, Roberto; Bussmann, Shane; Comerford, Julia M.; Cutri, Roc; Evans, Neal J., II; Griffith, Roger; Jarrett, Thomas; Lake, Sean; Lonsdale, Carol; Rho, Jeonghee; Stanford, S. Adam; Weiner, Benjamin; Wright, Edward L.; Yan, Lin

    2012-01-01

    We have used the Caltech Submillimeter Observatory (CSO) to follow-up a sample of Wide-field Infrared Survey Explorer (WISE) selected, hyperluminous galaxies, the so-called W1W2-dropout galaxies. This is a rare (approx.1000 all-sky) population of galaxies at high redshift (peaks at z = 2-3), which are faint or undetected by WISE at 3.4 and 4.6 microns, yet are clearly detected at 12 and 22 microns. The optical spectra of most of these galaxies show significant active galactic nucleus activity. We observed 14 high-redshift (z > 1.7) W1W2-dropout galaxies with SHARC-II at 350-850 microns, with nine detections, and observed 18 with Bolocam at 1.1 mm, with five detections. Warm Spitzer follow-up of 25 targets at 3.6 and 4.5 microns, as well as optical spectra of 12 targets, are also presented in the paper. Combining WISE data with observations from warm Spitzer and CSO, we constructed their mid-IR to millimeter spectral energy distributions (SEDs). These SEDs have a consistent shape, showing significantly higher mid-IR to submillimeter ratios than other galaxy templates, suggesting a hotter dust temperature.We estimate their dust temperatures to be 60 C120 K using a single-temperature model. Their infrared luminosities are well over 10(exp 13) Stellar Luminosity. These SEDs are not well fitted with existing galaxy templates, suggesting they are a new population with very high luminosity and hot dust. They are likely among the most luminous galaxies in the universe.We argue that they are extreme cases of luminous, hot dust-obscured galaxies (DOGs), possibly representing a short evolutionary phase during galaxy merging and evolution. A better understanding of their long-wavelength properties needs ALMA as well as Herschel data.

  7. Submillimeter Follow-up of Wise-Selected Hyperluminous Galaxies

    NASA Technical Reports Server (NTRS)

    Wu, Jingwen; Tsai, Chao-Wei; Sayers, Jack; Benford, Dominic; Bridge, Carrie; Blain, Andrew; Eisenhardt, Peter R. M.; Stern, Daniel; Petty, Sara; Assef, Roberto; Bussmann, Shane; Comerford, Julia M.; Cutri, Roc; Evans, Neal J., II; Griffith, Roger; Jarrett, Thomas; Lake, Sean; Lonsdale, Carol; Rho, Jeonghee; Stanford, S. Adam

    2013-01-01

    We have used the Caltech Submillimeter Observatory (CSO) to follow-up a sample of Wide-field Infrared Survey Explorer (WISE) selected, hyperluminous galaxies, the so-called W1W2-dropout galaxies. This is a rare (approximately 1000 all-sky) population of galaxies at high redshift (peaks at zeta = 2-3), which are faint or undetected by WISE at 3.4 and 4.6 micrometers, yet are clearly detected at 12 and 22 micrometers. The optical spectra of most of these galaxies show significant active galactic nucleus activity. We observed 14 high-redshift (zeta greater than 1.7) W1W2-dropout galaxies with SHARC-II at 350-850 micrometers, with nine detections, and observed 18 with Bolocam at 1.1 mm, with five detections. Warm Spitzer follow-up of 25 targets at 3.6 and 4.5 micrometers, as well as optical spectra of 12 targets, are also presented in the paper. Combining WISE data with observations from warm Spitzer and CSO, we constructed their mid-IR to millimeter spectral energy distributions (SEDs). These SEDs have a consistent shape, showing significantly higher mid-IR to submillimeter ratios than other galaxy templates, suggesting a hotter dust temperature.We estimate their dust temperatures to be 60-120 K using a single-temperature model. Their infrared luminosities are well over 10(exp 13) solar luminosity. These SEDs are not well fitted with existing galaxy templates, suggesting they are a new population with very high luminosity and hot dust. They are likely among the most luminous galaxies in the universe.We argue that they are extreme cases of luminous, hot dust-obscured galaxies (DOGs), possibly representing a short evolutionary phase during galaxy merging and evolution. A better understanding of their long-wavelength properties needs ALMA as well as Herschel data.

  8. SUBMILLIMETER FOLLOW-UP OF WISE-SELECTED HYPERLUMINOUS GALAXIES

    SciTech Connect

    Wu Jingwen; Eisenhardt, Peter R. M.; Stern, Daniel; Assef, Roberto; Tsai, Chao-Wei; Cutri, Roc; Griffith, Roger; Jarrett, Thomas; Sayers, Jack; Bridge, Carrie; Benford, Dominic; Blain, Andrew; Petty, Sara; Lake, Sean; Bussmann, Shane; Comerford, Julia M.; Evans, Neal J. II; Lonsdale, Carol; Rho, Jeonghee; Stanford, S. Adam; and others

    2012-09-01

    We have used the Caltech Submillimeter Observatory (CSO) to follow-up a sample of Wide-field Infrared Survey Explorer (WISE) selected, hyperluminous galaxies, the so-called W1W2-dropout galaxies. This is a rare ({approx}1000 all-sky) population of galaxies at high redshift (peaks at z = 2-3), which are faint or undetected by WISE at 3.4 and 4.6 {mu}m, yet are clearly detected at 12 and 22 {mu}m. The optical spectra of most of these galaxies show significant active galactic nucleus activity. We observed 14 high-redshift (z > 1.7) W1W2-dropout galaxies with SHARC-II at 350-850 {mu}m, with nine detections, and observed 18 with Bolocam at 1.1 mm, with five detections. Warm Spitzer follow-up of 25 targets at 3.6 and 4.5 {mu}m, as well as optical spectra of 12 targets, are also presented in the paper. Combining WISE data with observations from warm Spitzer and CSO, we constructed their mid-IR to millimeter spectral energy distributions (SEDs). These SEDs have a consistent shape, showing significantly higher mid-IR to submillimeter ratios than other galaxy templates, suggesting a hotter dust temperature. We estimate their dust temperatures to be 60-120 K using a single-temperature model. Their infrared luminosities are well over 10{sup 13} L{sub Sun }. These SEDs are not well fitted with existing galaxy templates, suggesting they are a new population with very high luminosity and hot dust. They are likely among the most luminous galaxies in the universe. We argue that they are extreme cases of luminous, hot dust-obscured galaxies (DOGs), possibly representing a short evolutionary phase during galaxy merging and evolution. A better understanding of their long-wavelength properties needs ALMA as well as Herschel data.

  9. Selecting M-giants with WISE photometry

    NASA Astrophysics Data System (ADS)

    Li, Jing

    2015-08-01

    We use M-giants, M-dwarfs and QSOs identified by LAMOST to assess how well WISE & 2MASS colour-cuts can separate these populations through photometry. We find that the WISE bands are very efficient to separate M-giants from M-dwarfs, especially for the early-type stars. We derive a new photometric relation to estimate [Fe/H] for M-giants. We show that previous photometric distance relations may be biased and devise a new empirical distance relation. We detect M-giants in the Sagittarius stream from the ALLWISE Source Archive. Our detection shows good agreement with the bright stream, although the leading tail appears to be misaligned by a couple of degrees. We have measured the metallicity distribution at four locations along the stream, finding a clear metallicity offset between the leading and trailing tails.

  10. Warm Debris Disks with WISE and HST

    NASA Astrophysics Data System (ADS)

    Padgett, Deborah; Stapelfeldt, Karl

    2016-01-01

    Using 22 μm data from the Wide Field Infrared Survey Explorer (WISE), we have completed a sensitive all-sky survey for debris disks in Hipparcos and Tycho catalog stars within 120 pc. This warm excess emission traces material in the circumstellar region likely to host terrestrial planets. Several hundred previously unknown debris disk candidates were identified. We are currently performing follow-up observations to characterize the stars, companions, and circumstellar material in these systems with a variety of facilities including Keck, Herschel, and HST. Thirteen WISE debris disks have been observed to date using HST/STIS coronagraphy. Five of these disks have been detected in scattered light. One is a large and highly asymmetric edge-on disk which appears to be both warped and bifurcated.

  11. Warm Debris Disk Candidates from WISE

    NASA Technical Reports Server (NTRS)

    Padgett, Deborah; Stapelfeldt, Karl; Liu, Wilson; Leisawitz, David

    2011-01-01

    The Wide Field Infrared Survey Explorer (WISE) has just completed a sensitive all-sky survey in photometric bands at 3.4, 4.6, 12, and 22 microns. We report on a preliminary investigation of main sequence Hipparcos and Tycho catalog stars with 22 micron emission in excess of photospheric levels. This warm excess emission traces material in the circumstellar region likely to host terrestrial planets and is preferentially found in young systems with ages < 1 Gyr. Nearly a hundred new warm debris disk candidates are detected among FGK stars and 150 A stars within 120 pc. We are in the process of obtaining spectra to determine spectral types and activity level of these stars and are using HST, Herschel and Keck to characterize the dust, multiplicity, and substellar companions of these systems. In this contribution, we will discuss source selection methods and individual examples from among the WISE debris disk candidates.

  12. Does reflection lead to wise choices?

    PubMed Central

    Bortolotti, Lisa

    2011-01-01

    Does conscious reflection lead to good decision-making? Whereas engaging in reflection is traditionally thought to be the best way to make wise choices, recent psychological evidence undermines the role of reflection in lay and expert judgement. The literature suggests that thinking about reasons does not improve the choices people make, and that experts do not engage in reflection, but base their judgements on intuition, often shaped by extensive previous experience. Can we square the traditional accounts of wisdom with the results of these empirical studies? Should we even attempt to? I shall defend the view that philosophy and cognitive sciences genuinely interact in tackling questions such as whether reflection leads to making wise choices. PMID:22408385

  13. The "New Climate" New Atmospheric Events and "New Climate Risks": The case of Morocco

    NASA Astrophysics Data System (ADS)

    Karrouk, M. S.

    2015-12-01

    Since the end of last century, qualified meteorological events of "exceptional" causing floods have ceased to occur in Morocco and elsewhere, with a recurrence increasingly high, prompting to wonder about the "new" mode of climate's hydrothermal functioning inducing torrential rains, as well as its effect on the environment and societies.The latest event is the disaster of November 2014 flooding in southern Morocco, which is due especially to the non usual rains return.Weather conditions were marked by enhanced Meridian Atmospheric Circulation (MAC), characterized by persistent high temperatures during the autumn period in Morocco, mainly south of the Atlas, combined by the intrusion of a cold drop in the beginning of the event on 11.17.2014, and straightforward installation of a planetary valley across the Moroccan coast on 11.24.2014, which has evolved into storm (Xandra) in which depression has reached the surprising value of 975 hPa on 11.28.2014.Human and material damage caused by this flood are impressive: people died, roads, bridges and crops have been destroyed, overwhelmed dams. It has been a catastrophe.This event and others like it (Mohammedia 2002, Tangier 2008, Gharb 2009-2010, Casablanca 2010), must be considered as references for the simulation of future situations, and integration into development plans on future.This communication aims to identify the processes and conditions that have generated these events causing floods, the "exceptional" characteristics of recorded rainfall, the spatial and temporal distribution of events. Those floods affect the whole country, especially low areas, foothills and the mouths of rivers. There are the most vulnerable locations mainly on the autumn which is the most exposed to torrential rainfall season !! ... Etc.

  14. Lessions learned in WISE image quality

    NASA Astrophysics Data System (ADS)

    Kendall, Martha; Duval, Valerie G.; Larsen, Mark F.; Heinrichsen, Ingolf H.; Esplin, Roy W.; Shannon, Mark; Wright, Edward L.

    2010-08-01

    The Wide-Field Infrared Survey Explorer (WISE) mission launched in December of 2009 is a true success story. The mission is performing beyond expectations on-orbit and maintained cost and schedule throughout. How does such a thing happen? A team constantly focused on mission success is a key factor. Mission success is more than a program meeting its ultimate science goals; it is also meeting schedule and cost goals to avoid cancellation. The WISE program can attribute some of its success in achieving the image quality needed to meet science goals to lessons learned along the way. A requirement was missed in early decomposition, the absence of which would have adversely affected end-to-end system image quality. Fortunately, the ability of the cross-organizational team to focus on fixing the problem without pointing fingers or waiting for paperwork was crucial in achieving a timely solution. Asking layman questions early in the program could have revealed requirement flowdown misunderstandings between spacecraft control stability and image processing needs. Such is the lesson learned with the WISE spacecraft Attitude Determination & Control Subsystem (ADCS) jitter control and the image data reductions needs. Spacecraft motion can affect image quality in numerous ways. Something as seemingly benign as different terminology being used by teammates in separate groups working on data reduction, spacecraft ADCS, the instrument, mission operations, and the science proved to be a risk to system image quality. While the spacecraft was meeting the allocated jitter requirement , the drift rate variation need was not being met. This missing need was noticed about a year before launch and with a dedicated team effort, an adjustment was made to the spacecraft ADCS control. WISE is meeting all image quality requirements on-orbit thanks to a diligent team noticing something was missing before it was too late and applying their best effort to find a solution.

  15. A Case Study of a Kindergarten Teacher: Examining Practices and Beliefs That Support the Social-Emotional Classroom Climate

    ERIC Educational Resources Information Center

    Pech, Sandra L.

    2010-01-01

    This 5-month qualitative case study investigated the social-emotional climate of one half-day kindergarten classroom by examining the role of the teacher in establishing and sustaining a classroom climate that nurtured the social-emotional lives of students. This case study asks: How and why did the teacher establish and sustain a classroom…

  16. The Most Luminous Galaxies Found by WISE

    NASA Astrophysics Data System (ADS)

    Eisenhardt, Peter; Tsai, Chao-Wei; Wu, Jingwen; Griffith, Roger; Yan, Lin; Stern, Daniel; Stanford, Adam; Blain, Andrew; Benford, Dominic; Bridge, Carrie; Petty, Sara; Assef, Roberto; Donoso, Emilio; Lake, Sean

    2012-08-01

    NASA's Wide-field Infrared Survey Explorer (WISE) has surveyed the entire sky at 3.4, 4.6, 12 and 22 (micron) (W1, W2, W3, and W4), reaching sensitivities hundreds of times deeper than IRAS. We have used WISE photometry to select an all-sky sample of objects which are extremely luminous. The objects are prominent in W4, but faint or undetected in W1 and W2 (W12drops). Followup spectroscopy shows that most of the sources have redshifts z>2. In combination with Herschel photometry, these redshifts lead to typical L_bol > 10^13 L_⊙, with ~10% exceeding 10^14 L_⊙. High resolution adaptive optics imaging shows these objects are typically unlensed. We request NOAO time to obtain redshifts and optical and near IR photometry of the complete all-sky sample of the brightest W12drops, all of which are in our Herschel program. This will fulfill the primary WISE objective of finding the most extreme luminous IR galaxies in the Universe. These superlative objects will be the most fruitful for detailed studies of the physics of star formation, AGN fueling, and feedback in the most active galaxies.

  17. Extended Solar System Structures Observed by WISE

    NASA Astrophysics Data System (ADS)

    Sykes, Mark V.; Masci, Frank; Cutri, Roc; Walker, Russell; Mainzer, Amy; Bauer, James; Stevenson, Rachel; Tricarico, Pasquale

    2014-11-01

    Extended structures associated with recent asteroid collisions and comets were detected by the Infrared Astronomical Satellite, which conducted the first survey of the thermal emission of the sky in 1983. Twenty-seven years later, the Wide-field Infrared Survey Explorer (WISE), conducted a more sensitive survey of the sky at wavelengths spanning the shorter IRAS bandpasses and detected many of these same structures. Initial identifications include asteroid dust bands associated with collisions giving rise to the Karin and Beagle clusters within the Koronis and Themis asteroid families, respectively. An additional pair of bands is associated with the collision giving rise to the Veritas asteroid family. Comet trails associated with short-period comets have also been observed. Type 2 trails, detected by IRAS and possibly associated with asteroid collisions within the past few thousand years, have yet to be identified. Because WISE is significantly more sensitive than IRAS in the mid-infrared, it has detected some trails extending much further over their orbits and will greatly expand the catalog of trails detected in addition to those observed by IRAS and Spitzer (the latter by targeted observations). WISE and the yet more sensitive NEOCAM survey telescope will provide important insights into the recent collisional history of the asteroid belt and the nature and evolution of comets.

  18. Cloud-Enabled Climate Analytics-as-a-Service using Reanalysis data: A case study.

    NASA Astrophysics Data System (ADS)

    Nadeau, D.; Duffy, D.; Schnase, J. L.; McInerney, M.; Tamkin, G.; Potter, G. L.; Thompson, J. H.

    2014-12-01

    The NASA Center for Climate Simulation (NCCS) maintains advanced data capabilities and facilities that allow researchers to access the enormous volume of data generated by weather and climate models. The NASA Climate Model Data Service (CDS) and the NCCS are merging their efforts to provide Climate Analytics-as-a-Service for the comparative study of the major reanalysis projects: ECMWF ERA-Interim, NASA/GMAO MERRA, NOAA/NCEP CFSR, NOAA/ESRL 20CR, JMA JRA25, and JRA55. These reanalyses have been repackaged to netCDF4 file format following the CMIP5 Climate and Forecast (CF) metadata convention prior to be sequenced into the Hadoop Distributed File System ( HDFS ). A small set of operations that represent a common starting point in many analysis workflows was then created: min, max, sum, count, variance and average. In this example, Reanalysis data exploration was performed with the use of Hadoop MapReduce and accessibility was achieved using the Climate Data Service(CDS) application programming interface (API) created at NCCS. This API provides a uniform treatment of large amount of data. In this case study, we have limited our exploration to 2 variables, temperature and precipitation, using 3 operations, min, max and avg and using 30-year of Reanalysis data for 3 regions of the world: global, polar, subtropical.

  19. Climate change adaptation accounting for huge uncertainties in future projections - the case of urban drainage

    NASA Astrophysics Data System (ADS)

    Willems, Patrick

    2015-04-01

    Hydrological design parameters, which are currently used in the guidelines for the design of urban drainage systems (Willems et al., 2013) have been revised, taking the Flanders region of Belgium as case study. The revision involved extrapolation of the design rainfall statistics, taking into account the current knowledge on future climate change trends till 2100. Uncertainties in these trend projections have been assessed after statistically analysing and downscaling by a quantile perturbation tool based on a broad ensemble set of climate model simulation results (44 regional + 69 global control-scenario climate model run combinations for different greenhouse gas scenarios). The impact results of the climate scenarios were investigated as changes to rainfall intensity-duration-frequency (IDF) curves. Thereafter, the climate scenarios and related changes in rainfall statistics were transferred to changes in flood frequencies of sewer systems and overflow frequencies of storage facilities. This has been done based on conceptual urban drainage models. Also the change in storage capacity required to exceed a given overflow return period, has been calculated for a range of return periods and infiltration or throughflow rates. These results were used on the basis of the revision of the hydraulic design rules of urban drainage systems. One of the major challenges while formulating these policy guidelines was the consideration of the huge uncertainties in the future climate change projections and impact assessments; see also the difficulties and pitfalls reported by the IWA/IAHR Joint Committee on Urban Drainage - Working group on urban rainfall (Willems et al., 2012). We made use of the risk concept, and found it a very useful approach to deal with the high uncertainties. It involves an impact study of the different climate projections, or - for practical reasons - a reduced set of climate scenarios tailored for the specific type of impact considered (urban floods in our

  20. Downscaling large-scale climate variability using a regional climate model: the case of ENSO over Southern Africa

    NASA Astrophysics Data System (ADS)

    Boulard, Damien; Pohl, Benjamin; Crétat, Julien; Vigaud, Nicolas; Pham-Xuan, Thanh

    2013-03-01

    This study documents methodological issues arising when downscaling modes of large-scale atmospheric variability with a regional climate model, over a remote region that is yet under their influence. The retained case study is El Niño Southern Oscillation and its impacts on Southern Africa and the South West Indian Ocean. Regional simulations are performed with WRF model, driven laterally by ERA40 reanalyses over the 1971-1998 period. We document the sensitivity of simulated climate variability to the model physics, the constraint of relaxing the model solutions towards reanalyses, the size of the relaxation buffer zone towards the lateral forcings and the forcing fields through ERA-Interim driven simulations. The model's internal variability is quantified using 15-member ensemble simulations for seasons of interest, single 30-year integrations appearing as inappropriate to investigate the simulated interannual variability properly. The incidence of SST prescription is also assessed through additional integrations using a simple ocean mixed-layer model. Results show a limited skill of the model to reproduce the seasonal droughts associated with El Niño conditions. The model deficiencies are found to result from biased atmospheric forcings and/or biased response to these forcings, whatever the physical package retained. In contrast, regional SST forcing over adjacent oceans favor realistic rainfall anomalies over the continent, although their amplitude remains too weak. These results confirm the significant contribution of nearby ocean SST to the regional effects of ENSO, but also illustrate that regionalizing large-scale climate variability can be a demanding exercise.

  1. `Climate wise` program at the Cosmair, Inc. Clark Manufacturing Facility

    SciTech Connect

    Kraly, K.

    1997-12-31

    Viewgraphs from the conference presentation are reproduced in this paper, which outlines energy efficiency improvements and emissions reductions at a hair care products manufacturing facility. Program management focuses on employee involvement in internal audits, utility tracking, public relations, and preventative maintenance. Energy savings, cost savings, and emission reductions are presented for 1996 and projected to the year 2000. Other program aspects outlined include a summary of utility costs; solid waste; chilled water system modifications; lighting modifications; boiler upgrades; and heating, ventilating, and air conditioning improvements.

  2. Magnetic Gold Nanoshells: Step-wise Changing of Magnetism through Step-wise Biofunctionalization

    PubMed Central

    S.S.R.Kumar, Challa; Mohammad, Faruq

    2010-01-01

    We report step-wise changing of magnetic behavior of iron oxide core gold shell nanoparticles from super paramagnetic to permanent magnetism at room temperature, on step-wise bio-functionalization with leutenizing hormone and releasing hormone (LHRH) through cysteamine linker. The observed permanent magnetism at room temperature in LHRH-capped gold nanoshells provides opportunities to extend fundamental investigations of permanent magnetism to other novel nanostructures and biofunctionalized nano gold architectures, simultaneously opening the way to newer applications, especially to those in biomedicine. PMID:23646236

  3. REDD+ and climate smart agriculture in landscapes: A case study in Vietnam using companion modelling.

    PubMed

    Salvini, G; Ligtenberg, A; van Paassen, A; Bregt, A K; Avitabile, V; Herold, M

    2016-05-01

    Finding land use strategies that merge land-based climate change mitigation measures and adaptation strategies is still an open issue in climate discourse. This article explores synergies and trade-offs between REDD+, a scheme that focuses mainly on mitigation through forest conservation, with "Climate Smart Agriculture", an approach that emphasizes adaptive agriculture. We introduce a framework for ex-ante assessment of the impact of land management policies and interventions and for quantifying their impacts on land-based mitigation and adaptation goals. The framework includes a companion modelling (ComMod) process informed by interviews with policymakers, local experts and local farmers. The ComMod process consists of a Role-Playing Game with local farmers and an Agent Based Model. The game provided a participatory means to develop policy and climate change scenarios. These scenarios were then used as inputs to the Agent Based Model, a spatially explicit model to simulate landscape dynamics and the associated carbon emissions over decades. We applied the framework using as case study a community in central Vietnam, characterized by deforestation for subsistence agriculture and cultivation of acacias as a cash crop. The main findings show that the framework is useful in guiding consideration of local stakeholders' goals, needs and constraints. Additionally the framework provided beneficial information to policymakers, pointing to ways that policies might be re-designed to make them better tailored to local circumstances and therefore more effective in addressing synergistically climate change mitigation and adaptation objectives. PMID:26921566

  4. Climate change, water rights, and water supply: The case of irrigated agriculture in Idaho

    NASA Astrophysics Data System (ADS)

    Xu, Wenchao; Lowe, Scott E.; Adams, Richard M.

    2014-12-01

    We conduct a hedonic analysis to estimate the response of agricultural land use to water supply information under the Prior Appropriation Doctrine by using Idaho as a case study. Our analysis includes long-term climate (weather) trends and water supply conditions as well as seasonal water supply forecasts. A farm-level panel data set, which accounts for the priority effects of water rights and controls for diversified crop mixes and rotation practices, is used. Our results indicate that farmers respond to the long-term surface and ground water conditions as well as to the seasonal water supply variations. Climate change-induced variations in climate and water supply conditions could lead to substantial damages to irrigated agriculture. We project substantial losses (up to 32%) of the average crop revenue for major agricultural areas under future climate scenarios in Idaho. Finally, farmers demonstrate significantly varied responses given their water rights priorities, which imply that the distributional impact of climate change is sensitive to institutions such as the Prior Appropriation Doctrine.

  5. Climate change impacts on irrigated rice and wheat production in Gomti River basin of India: a case study.

    PubMed

    Abeysingha, N S; Singh, Man; Islam, Adlul; Sehgal, V K

    2016-01-01

    Potential future impacts of climate change on irrigated rice and wheat production and their evapotranspiration and irrigation requirements in the Gomti River basin were assessed by integrating a widely used hydrological model "Soil and Water Assessment Tool (SWAT)" and climate change scenario generated from MIROC (HiRes) global climate model. SWAT model was calibrated and validated using monthly streamflow data of four spatially distributed gauging stations and district wise wheat and rice yields data for the districts located within the basin. Simulation results showed an increase in mean annual rice yield in the range of 5.5-6.7, 16.6-20.2 and 26-33.4 % during 2020s, 2050s and 2080s, respectively. Similarly, mean annual wheat yield is also likely to increase by 13.9-15.4, 23.6-25.6 and 25.2-27.9 % for the same future time periods. Evapotranspiration for both wheat and rice is projected to increase in the range of 3-9.6 and 7.8-16.3 %, respectively. With increase in rainfall during rice growing season, irrigation water allocation for rice is likely to decrease (<5 %) in future periods, but irrigation water allocation for wheat is likely to increase by 17.0-45.3 % in future periods. PMID:27536533

  6. Understanding Young Exoplanet Analogs with WISE

    NASA Astrophysics Data System (ADS)

    Rice, Emily

    We propose to tackle outstanding questions about the fundamental properties of young brown dwarfs, which are atmospheric analogs to massive gas giant exoplanets, using public archive data from the Wide-field Infrared Survey Explorer (WISE) combined with our extensive dataset of optical and near-infrared observations, including spectra, proper motions, and parallaxes. Using WISE data we will construct color-color diagrams, color- magnitude diagrams, and spectral energy distributions for our sample of candidate young brown dwarfs. We will fully characterize the spectral properties of the candidates and evaluate their membership in nearby young moving groups in order to obtain independent age estimates. The practical outcomes of this project will allow the research community to use observed colors and spectra to reliably constrain the properties - including effective temperature, gravity, and dust/cloud properties - of both brown dwarfs and gas giant exoplanets. We will also search for new young brown dwarfs in the WISE archive using colors and proper motions. The expanded sample of young brown dwarfs will be used to create a self-contained feedback loop to identify and address the shortcomings of cool atmosphere models and low-mass evolutionary tracks, both of which are already being used to infer the properties of massive exoplanets. Disentangling the effects of physical parameters on the observed properties of young brown dwarfs is directly relevant to studies of exoplanets. Direct observations of exoplanets are currently very limited, and young brown dwarfs are the laboratories in which we can solve existing problems before the onslaught of new observations from instruments capable of directly imaging exoplanets, including the Gemini Planet Imager, Project 1640 at the Palomar Observatory, SPHERE on the VLT, and the James Webb Space Telescope. This project addresses the goal of the NASA Science Mission Directorate to discover how the universe works; in particular

  7. Who Should be Empowered to Know about Earth's Changing Climate? The Case of Earth's Changing Cryosphere

    NASA Astrophysics Data System (ADS)

    Kargel, J. S.

    2006-12-01

    to deal with, but when humans—some humans more than others—are the prime causes of new hazards, and some humans more than others are the victims of those anthropogenic changes to the Earth, it becomes politically charged. One approach is to bury one's head in the sand and ignore the issues; this has been substantially NASA's approach with regard to natural hazards that bear on matters of political import—such as climate change. The risks of doing the honorable thing and to deal squarely with information at hand are huge, both for agencies and individual scientists. No matter what funding agencies say, scientists must answer a higher calling to do the right thing. Rarely does the right thing ever involve the news media on such frightful matters. I will review two special cases of how NOT to do things in my area of glaciation and glacial hazards—in one case, USGS attempted to delete a reference to the intergovernmental panel on climate change that was included in a draft of a press release; in another case, unsubstantiated warnings by JPL of imminent danger from a generally dangerous glacial lake in Peru did not go through peer review or the national scientific or civil authorities in Peru, and it resulted in needless public panic. Climate change faces every human alive and will have increasing impacts on the next several generations. Major funding agencies must provide the resources for robust, unclassified, objective research in climate change and its impacts, including hazards, and the observing tools to enable it, especially in areas where humans are the underlying cause and where mitigative action is possible. Scientists must exercise special responsibility and sensitivity in dealing with such politically charged issues.

  8. Wise Detections of Known QSOS at Redshifts Greater Than Six

    NASA Technical Reports Server (NTRS)

    Blain, Andrew W.; Assef, Roberto; Stern, Daniel; Tsai, Chao-Wei; Eisenhardt, Peter; Bridge, Carrie; Benford, Dominic; Jarrett, Tom; Cutri, Roc; Petty, Sara; Wu, Jingwen; Wright, Edward L.

    2013-01-01

    We present WISE All-Sky mid-infrared (IR) survey detections of 55 % (17/31) of the known QSOs at z greater than 6 from a range of surveys: the SDSS, the CFHT-LS, FIRST, Spitzer and UK1DSS. The WISE catalog thus provides a substantial increase in tiie quantity of IR data available for these sources: 17 are detected in the WISE Wl (3.4 micrometer) band, 16 in W2 (4.6 micrometers), 3 in W3 (12 micrometers) and 0 in W4 (22micrometers). This is particularly important with Spitzer in its warm-mission phase and no faint follow-up capability at wavelengths longwards of 5 micrometers until the launch of JWST. WISE thus provides a useful tool for understanding QSOs found in forthcoming large-area optical/IR sky surveys, using PanSTARRS, SkyMapper, VISTA, DES and LSST. The rest-UV properties of the WISE-detected and the WISE-non-detected samples differ: the detections have brighter i/z-band magnitudes and redder rest-UV colors. This suggests thai a more aggressive hunt for very-high-redshift QSOs, by combining WISE Wl and W2 data with red observed optical colors could be effective at least, for a subset of dusty candidate QSOs. Stacking the WISE images of the WISE-non-detected QSOs indicates that they are on average significantly fainter than the WISE-detccted examples, and are thus not narrowly missing detection in the WISE catalog. The WISE-catalog detection of three of our sample in the W3 band indicates that their mid-ID flux can be detected individually, although there is no stacked W3 detection of sources detected in Wl but not. W3. Stacking analyses of WISE data for large AGN samples will be a useful tool, and high-redshifl. QSOs of all types will be easy targets for JWST.

  9. [Choosing wisely together with the patient].

    PubMed

    Fölsch, U R; Hasenfuß, G

    2016-06-01

    Within the framework of the Choosing wisely initiative of the German Society for Internal Medicine, all scientific societies associated with internal medicine were requested to highlight the unnecessary or underused medical tests or procedures out of the 60 defined examples, which are of immediate relevance within the doctor-patient interaction. Each of the 12 scientific internal medicine societies compiled and substantiated 2 recommendations. This resulted in a spectrum of important recommendations covering the entire field of internal medicine. In difficult situations these recommendations should contribute to developing and supporting the dialogue with patients on an evidence-based level. PMID:27255446

  10. The uncertainty cascade in flood risk assessment under changing climatic conditions - the Biala Tarnowska case study

    NASA Astrophysics Data System (ADS)

    Doroszkiewicz, Joanna; Romanowicz, Renata

    2016-04-01

    Uncertainty in the results of the hydraulic model is not only associated with the limitations of that model and the shortcomings of data. An important factor that has a major impact on the uncertainty of the flood risk assessment in a changing climate conditions is associated with the uncertainty of future climate scenarios (IPCC WG I, 2013). Future climate projections provided by global climate models are used to generate future runoff required as an input to hydraulic models applied in the derivation of flood risk maps. Biala Tarnowska catchment, situated in southern Poland is used as a case study. Future discharges at the input to a hydraulic model are obtained using the HBV model and climate projections obtained from the EUROCORDEX project. The study describes a cascade of uncertainty related to different stages of the process of derivation of flood risk maps under changing climate conditions. In this context it takes into account the uncertainty of future climate projections, an uncertainty of flow routing model, the propagation of that uncertainty through the hydraulic model, and finally, the uncertainty related to the derivation of flood risk maps. One of the aims of this study is an assessment of a relative impact of different sources of uncertainty on the uncertainty of flood risk maps. Due to the complexity of the process, an assessment of total uncertainty of maps of inundation probability might be very computer time consuming. As a way forward we present an application of a hydraulic model simulator based on a nonlinear transfer function model for the chosen locations along the river reach. The transfer function model parameters are estimated based on the simulations of the hydraulic model at each of the model cross-section. The study shows that the application of the simulator substantially reduces the computer requirements related to the derivation of flood risk maps under future climatic conditions. Acknowledgements: This work was supported by the

  11. Model-wise and point-wise random sample consensus for robust regression and outlier detection.

    PubMed

    El-Melegy, Moumen T

    2014-11-01

    Popular regression techniques often suffer at the presence of data outliers. Most previous efforts to solve this problem have focused on using an estimation algorithm that minimizes a robust M-estimator based error criterion instead of the usual non-robust mean squared error. However the robustness gained from M-estimators is still low. This paper addresses robust regression and outlier detection in a random sample consensus (RANSAC) framework. It studies the classical RANSAC framework and highlights its model-wise nature for processing the data. Furthermore, it introduces for the first time a point-wise strategy of RANSAC. New estimation algorithms are developed following both the model-wise and point-wise RANSAC concepts. The proposed algorithms' theoretical robustness and breakdown points are investigated in a novel probabilistic setting. While the proposed concepts and algorithms are generic and general enough to adopt many regression machineries, the paper focuses on multilayered feed-forward neural networks in solving regression problems. The algorithms are evaluated on synthetic and real data, contaminated with high degrees of outliers, and compared to existing neural network training algorithms. Furthermore, to improve the time performance, parallel implementations of the two algorithms are developed and assessed to utilize the multiple CPU cores available on nowadays computers. PMID:25047916

  12. Secure Genomic Computation through Site-Wise Encryption.

    PubMed

    Zhao, Yongan; Wang, XiaoFeng; Tang, Haixu

    2015-01-01

    Commercial clouds provide on-demand IT services for big-data analysis, which have become an attractive option for users who have no access to comparable infrastructure. However, utilizing these services for human genome analysis is highly risky, as human genomic data contains identifiable information of human individuals and their disease susceptibility. Therefore, currently, no computation on personal human genomic data is conducted on public clouds. To address this issue, here we present a site-wise encryption approach to encrypt whole human genome sequences, which can be subject to secure searching of genomic signatures on public clouds. We implemented this method within the Hadoop framework, and tested it on the case of searching disease markers retrieved from the ClinVar database against patients' genomic sequences. The secure search runs only one order of magnitude slower than the simple search without encryption, indicating our method is ready to be used for secure genomic computation on public clouds. PMID:26306278

  13. Secure Genomic Computation through Site-Wise Encryption

    PubMed Central

    Zhao, Yongan; Wang, XiaoFeng; Tang, Haixu

    2015-01-01

    Commercial clouds provide on-demand IT services for big-data analysis, which have become an attractive option for users who have no access to comparable infrastructure. However, utilizing these services for human genome analysis is highly risky, as human genomic data contains identifiable information of human individuals and their disease susceptibility. Therefore, currently, no computation on personal human genomic data is conducted on public clouds. To address this issue, here we present a site-wise encryption approach to encrypt whole human genome sequences, which can be subject to secure searching of genomic signatures on public clouds. We implemented this method within the Hadoop framework, and tested it on the case of searching disease markers retrieved from the ClinVar database against patients’ genomic sequences. The secure search runs only one order of magnitude slower than the simple search without encryption, indicating our method is ready to be used for secure genomic computation on public clouds. PMID:26306278

  14. Nutrient loadings from urban catchments under climate change scenarios: case studies in Stockholm, Sweden.

    PubMed

    Wu, Jiechen; Malmström, Maria E

    2015-06-15

    Anthropogenic nutrient emissions and associated eutrophication of urban lakes are a global problem. Future changes in temperature and precipitation may influence nutrient loadings in lake catchments. A coupling method, where the Generalized Watershed Loading Functions method was tested in combination with source quantification in a Substance Flow Analysis structure, was suggested to investigate diffuse nutrient sources and pathways and climate change effects on the loadings to streamflow in urban catchments. This method may, with an acceptable level of uncertainty, be applied to urban catchments for first-hand estimations of nutrient loadings in the projected future and to highlight the need for further study and monitoring. Five lake catchments in Stockholm, Sweden (Råcksta Träsk, Judarn, Trekanten, Långsjön and Laduviken) were employed as case studies and potential climate change effects were explored by comparing loading scenarios in two periods (2000-2009 and 2021-2030). For the selected cases, the dominant diffuse sources of nutrients to urban streamflow were found to be background atmospheric concentration and vehicular traffic. The major pathways of the nitrogen loading were suggested to be from both developed areas and natural areas in the control period, while phosphorus was indicated to be largely transported through surface runoff from natural areas. Furthermore, for nitrogen, a modest redistribution of loadings from surface runoff and stormwater between seasons and an increase in the annual loading were suggested for the projected future climate scenarios as compared to the control period. The model was, due to poor monitoring data availability, only able to set an upper limit to nutrient transport by groundwater both in the control period and the future scenarios. However, for nitrogen, groundwater appeared to be the pathway most sensitive to climate change, with a considerable increase and seasonal redistribution of loadings. For phosphorus

  15. The WISE View of RV Tauri Stars

    NASA Astrophysics Data System (ADS)

    Gezer, I.; Van Winckel, H.; Bozkurt, Z.

    2015-08-01

    RV Tauri stars are luminous population II Cepheids which show a characteristic light curve of alternating deep and shallow minima. There are 170 known RV Tauri variables in our Galaxy and several have been found in the LMC and SMC. The evolutionary nature of RV Tauri stars is not understood yet. A limited number of RV Tauri stars were detected by IRAS and found to show a large IR excess due to thermal emission from dust, and hence these were classified as post-AGB stars (Jura 1986). These objects occupy a specific region in the IRAS color-color diagram due to the presence of a long-lived, hot, rather stable dusty disk (Lloyd Evans 1999; De Ruyter et al. 2006; Hillen et al. 2014). We have expanded the analysis based on IRAS colors to a similar but much deeper one using WISE (Wide-Field Infrared Survey) data. WISE was launched in December 2009 and scanned the whole sky in 3.4, 4.6, 12 and 22 μm bands (Wright et al. 2010). We study systematically the infrared properties of all 170 Galactic RV Tauri pulsators and differentiate between likely disk sources, expanding shells, and objects without dust excesses. The aim is to correlate infrared properties with chemical peculiarities and the possible binary nature of the central stars. This will lead to a better understanding of the evolutionary status of RV Tauri stars.

  16. Climate variability as a threat for countries progressing towards malaria elimination: The case study of Peru

    NASA Astrophysics Data System (ADS)

    Mousam, Aneela; Maggioni, Viviana; Quispe, Antonio; Aquila, Valentina

    2015-04-01

    Malaria cases reported by the Peruvian Ministry of Health demonstrate a 61% reduction of malaria in the last decade (2001- 2010). However, during the years 2011-14 malaria increased by ~2.7 folds in Peru and ~5 folds in Loreto, an Amazonian department that continues contributing over 90% of the malaria cases in Peru. Past studies have indicated that there is a strong association between climate variability and malaria rates. The purpose of this study is to test the hypothesis that climate variables have played a key role in the recent increase of malaria cases in Peru. Climate data, such as precipitation, temperature, humidity and surface pressure simulated by the NASA MERRA model during a 10-year ling time series (2004-2013) are used to verify this hypothesis. Preliminary data analyses show large deviations from the 10-year mean (i.e., climatological anomalies) in humidity, surface pressure, and temperature during 2010 up to four times larger than previous and subsequent years. An increase of 8% in precipitation yearly averages is observed in 2010, which also corresponds with the following reverse of the downward trend of malaria incidence, particularly in Loreto. The sudden amplification of climatological anomalies in 2010 could have set the environmental conditions that caused the re-emergence of malaria in 2011. Investigation is underway to link weekly malaria data from different districts in Peru to the climate conditions at those locations during the past ten years. This will be crucial in understanding why some countries, despite all necessary efforts, are unable to completely eliminate malaria.

  17. WISE Observations of Comets, Centaurs, & Scattered Disk Objects

    NASA Technical Reports Server (NTRS)

    Bauer, J.; Walker, R.; Mainzer, A.; Masiero, J.; Grav, T.; Cutri, R.; Dailey, J.; McMillan, R.; Lisse, C. M.; Fernandez, Y. R.; Meech, K. J.; Pittichova, J.; Tholen, D.; DeBaun, E.; Hand, E.; Blauvelt, E.; Wright, E. L.

    2011-01-01

    The Wide-Field Infrared Survey Explorer (WISE) was luanched on December 14, 2009. WISE imaged more than 99% of the sky in the mid-infrared for a 9-month mission lifetome. In addition to its primary goals of detecting the most luminous infrared galaxies and the nearest brown dwarfs, WISE, detected over 155500 of solar system bodies, 33700 of which were previously unknown. Most of the new objects were main Belt asteriods, and particular emphasis was on the discovery of Near Earth Asteoids. Hundreds of Jupiter Trojans have been imaged by WISE as well. However a substantial number of Centaurs, Scattered Disc Objects (SDOs), & cometary objects, were observed and discovered.

  18. Explanatory Supplement to the AllWISE Data Release Products

    NASA Astrophysics Data System (ADS)

    Cutri, R. M.; Wright, E. L.; Conrow, T.; Fowler, J. W.; Eisenhardt, P. R. M.; Grillmair, C.; Kirkpatrick, J. D.; Masci, F.; McCallon, H. L.; Wheelock, S. L.; Fajardo-Acosta, S.; Yan, L.; Benford, D.; Harbut, M.; Jarrett, T.; Lake, S.; Leisawitz, D.; Ressler, M. E.; Stanford, S. A.; Tsai, C. W.; Liu, F.; Helou, G.; Mainzer, A.; Gettings, D.; Gonzalez, A.; Hoffman, D.; Marsh, K. A.; Padgett, D.; Skrutskie, M. F.; Beck, R. P.; Papin, M.; Wittman, M.

    2013-11-01

    The AllWISE program builds upon the successful Wide-field Infrared Survey Explorer (WISE; Wright et al. 2010) mission by combining data from all WISE and NEOWISE (Mainzer et al. 2011) survey phases to form the most comprehensive view of the mid-infrared sky currently available. By combining the data from two complete sky coverage epochs in an advanced data processing system, AllWISE has generated new products that have enhanced photometric sensitivity and accuracy, and improved astrometric precision compared with the earlier WISE All-Sky Data Release. Exploiting the 6 month baseline between the WISE sky coverage epochs enables AllWISE to measure source motions for the first time, and to compute improved flux variability statistics. AllWISE data release products include: a Source Catalog that contains 4-band fluxes, positions, apparent motion measurements, and flux variability statistics for over 747 million objects detected at SNR>5 in the combined exposures; a Multiepoch Photometry Database containing over 42 billion time-tagged, single-exposure fluxes for each object detected on the combined exposures; and an Image Atlas of 18,240 4-band calibrated FITS images, depth-of-coverage and noise maps that cover the sky produced by coadding nearly 7.9 million single-exposure images from the cryogenic and post-cryogenic survey phases. The Explanatory Supplement to the AllWISE Data Release Products is a general guide for users of the AllWISE data. The Supplement contains detailed descriptions of the format and characteristics of the AllWISE data products, as well as a summary of cautionary notes that describe known limitations. The Supplement is an on-line document that is updated frequently to provide the most current information for users of the AllWISE data products. The Explanatory Supplement is maintained at: http://wise2.ipac.caltech.edu/docs/release/allwise/expsup/index.html AllWISE makes use of data from WISE, which is a joint project of the University of

  19. A climate-based spatiotemporal prediction for dengue fever epidemics: a case study in southern Taiwan

    NASA Astrophysics Data System (ADS)

    Yu, H.-L.; Yang, S.-J.; Lin, Y.-C.

    2012-04-01

    Dengue Fever (DF) has been identified by the World Health organization (WHO) as one of the most serious vector-borne infectious diseases in tropical and sub-tropical areas. DF has been one of the most important epidemics in Taiwan which occur annually especially in southern Taiwan during summer and autumn. Most DF studies have focused mainly on temporal DF patterns and its close association with climatic covariates, whereas few studies have investigated the spatial DF patterns (spatial dependence and clustering) and composite space-time effects of the DF epidemics. The present study proposes a spatio-temporal DF prediction approach based on stochastic Bayesian Maximum Entropy (BME) analysis. Core and site-specific knowledge bases are considered, including climate and health datasets under conditions of uncertainty, space-time dependence functions, and a Poisson regression model of climatic variables contributing to DF occurrences in southern Taiwan during 2007, when the highest number of DF cases was recorded in the history of Taiwan epidemics (over 2000). The obtained results show that the DF outbreaks in the study area are highly influenced by climatic conditions. Furthermore, the analysis can provide the required "one-week-ahead" outbreak warnings based on spatio-temporal predictions of DF distributions. Therefore, the proposed analysis can provide the Taiwan Disease Control Agency with a valuable tool to timely identify, control, and even efficiently prevent DF spreading across space-time.

  20. How climate change threats water resource: the case of the Thau coastal lagoon (Mediterranean Sea, France)

    NASA Astrophysics Data System (ADS)

    La Jeunesse, Isabelle; Sellami, Haykel; Cirelli, Claudia

    2014-05-01

    The latest reports of the intergovernmental panel on climate change explained that the Mediterranean regions are especially vulnerable to the impacts of climate change. These latest are expected to have strong impacts on the management of water resources and on regional economies. The aim of this paper is to discuss impacts of climate changes on the Thau case study in relation to the evolution of water balance, water uses and adaptation to climate change. The Thau coastal lagoon is located in the Mediterranean coast in south of France in the Languedoc-Roussillon Region. Economic activities are diverse from shellfish farming, fertilizers industries to agriculture and tourism. However, tourism and shellfish farming are of major importance for local economy. If tourism is mainly turned to the Sea coast, shellfishes grow within the lagoon and rely on water quality. Previous studies have demonstrated the link between the coastal lagoon water quality and inputs of freshwater from the catchment. Thus, changes in rainfalls, runoff and water balance would not only affect water uses but also water quality. Climate changes projections are presented following the implementation of 4 downscaled climatic models. Impacts on water balance are modelled with SWAT (Soil Water Assessment Tool) for 2041-2070 compared to the 1971-2000 reference period. The decrease of precipitations and water balance will impact discharges and thus decrease the freshwater inputs to the coastal lagoon. A study of water uses conducted in interactions with stakeholders within the Thau area has permitted to assess both current and evolution of water uses. It has revealed local water resources are depleting while water demand is increasing and is planned to continue to increase in the really near future. To prevent water scarcity events, mainly due to the climate change context, the Regional authorities have connected the catchment to the Rhône river to import water. The conclusion of this study is while

  1. THE FIRST HUNDRED BROWN DWARFS DISCOVERED BY THE WIDE-FIELD INFRARED SURVEY EXPLORER (WISE)

    SciTech Connect

    Davy Kirkpatrick, J.; Gelino, Christopher R.; Griffith, Roger L.; Marsh, Kenneth A.; Tsai, Chao-Wei; Beichman, Charles A.; Cushing, Michael C.; Mainzer, A.; Eisenhardt, Peter R.; Bauer, James M.; Skrutskie, Michael F.; Wright, Edward L.; McLean, Ian S.; Lake, Sean E.; Petty, Sara M.; Thompson, Maggie A.; Benford, Dominic J.; Bridge, Carrie R.; Stanford, S. A.; Bailey, Vanessa; and others

    2011-12-01

    We present ground-based spectroscopic verification of 6 Y dwarfs (see also Cushing et al.), 89 T dwarfs, 8 L dwarfs, and 1 M dwarf identified by the Wide-field Infrared Survey Explorer (WISE). Eighty of these are cold brown dwarfs with spectral types {>=}T6, six of which have been announced earlier by Mainzer et al. and Burgasser et al. We present color-color and color-type diagrams showing the locus of M, L, T, and Y dwarfs in WISE color space. Near-infrared and, in a few cases, optical spectra are presented for these discoveries. Near-infrared classifications as late as early Y are presented and objects with peculiar spectra are discussed. Using these new discoveries, we are also able to extend the optical T dwarf classification scheme from T8 to T9. After deriving an absolute WISE 4.6 {mu}m (W2) magnitude versus spectral type relation, we estimate spectrophotometric distances to our discoveries. We also use available astrometric measurements to provide preliminary trigonometric parallaxes to four of our discoveries, which have types of L9 pec (red), T8, T9, and Y0; all of these lie within 10 pc of the Sun. The Y0 dwarf, WISE 1541-2250, is the closest at 2.8{sup +1.3}{sub -0.6} pc; if this 2.8 pc value persists after continued monitoring, WISE 1541-2250 will become the seventh closest stellar system to the Sun. Another 10 objects, with types between T6 and >Y0, have spectrophotometric distance estimates also placing them within 10 pc. The closest of these, the T6 dwarf WISE 1506+7027, is believed to fall at a distance of {approx}4.9 pc. WISE multi-epoch positions supplemented with positional info primarily from the Spitzer/Infrared Array Camera allow us to calculate proper motions and tangential velocities for roughly one-half of the new discoveries. This work represents the first step by WISE to complete a full-sky, volume-limited census of late-T and Y dwarfs. Using early results from this census, we present preliminary, lower limits to the space density of

  2. The First Hundred Brown Dwarfs Discovered by the Wide-field Infrared Survey Explorer (WISE)

    NASA Astrophysics Data System (ADS)

    Kirkpatrick, J. Davy; Cushing, Michael C.; Gelino, Christopher R.; Griffith, Roger L.; Skrutskie, Michael F.; Marsh, Kenneth A.; Wright, Edward L.; Mainzer, A.; Eisenhardt, Peter R.; McLean, Ian S.; Thompson, Maggie A.; Bauer, James M.; Benford, Dominic J.; Bridge, Carrie R.; Lake, Sean E.; Petty, Sara M.; Stanford, S. A.; Tsai, Chao-Wei; Bailey, Vanessa; Beichman, Charles A.; Bloom, Joshua S.; Bochanski, John J.; Burgasser, Adam J.; Capak, Peter L.; Cruz, Kelle L.; Hinz, Philip M.; Kartaltepe, Jeyhan S.; Knox, Russell P.; Manohar, Swarnima; Masters, Daniel; Morales-Calderón, Maria; Prato, Lisa A.; Rodigas, Timothy J.; Salvato, Mara; Schurr, Steven D.; Scoville, Nicholas Z.; Simcoe, Robert A.; Stapelfeldt, Karl R.; Stern, Daniel; Stock, Nathan D.; Vacca, William D.

    2011-12-01

    We present ground-based spectroscopic verification of 6 Y dwarfs (see also Cushing et al.), 89 T dwarfs, 8 L dwarfs, and 1 M dwarf identified by the Wide-field Infrared Survey Explorer (WISE). Eighty of these are cold brown dwarfs with spectral types >=T6, six of which have been announced earlier by Mainzer et al. and Burgasser et al. We present color-color and color-type diagrams showing the locus of M, L, T, and Y dwarfs in WISE color space. Near-infrared and, in a few cases, optical spectra are presented for these discoveries. Near-infrared classifications as late as early Y are presented and objects with peculiar spectra are discussed. Using these new discoveries, we are also able to extend the optical T dwarf classification scheme from T8 to T9. After deriving an absolute WISE 4.6 μm (W2) magnitude versus spectral type relation, we estimate spectrophotometric distances to our discoveries. We also use available astrometric measurements to provide preliminary trigonometric parallaxes to four of our discoveries, which have types of L9 pec (red), T8, T9, and Y0; all of these lie within 10 pc of the Sun. The Y0 dwarf, WISE 1541-2250, is the closest at 2.8+1.3 -0.6 pc if this 2.8 pc value persists after continued monitoring, WISE 1541-2250 will become the seventh closest stellar system to the Sun. Another 10 objects, with types between T6 and >Y0, have spectrophotometric distance estimates also placing them within 10 pc. The closest of these, the T6 dwarf WISE 1506+7027, is believed to fall at a distance of ~4.9 pc. WISE multi-epoch positions supplemented with positional info primarily from the Spitzer/Infrared Array Camera allow us to calculate proper motions and tangential velocities for roughly one-half of the new discoveries. This work represents the first step by WISE to complete a full-sky, volume-limited census of late-T and Y dwarfs. Using early results from this census, we present preliminary, lower limits to the space density of these objects and discuss

  3. Explanatory Supplement to the WISE Preliminary Data Release Products

    NASA Astrophysics Data System (ADS)

    Cutri, R. M.; Wright, E. L.; Conrow, T.; Bauer, J.; Benford, D.; Brandenburg, H.; Dailey, J.; Eisenhardt, P. R. M.; Evans, T.; Fajardo-Acosta, S.; Fowler, J.; Gelino, C.; Grillmair, C.; Harbut, M.; Hoffman, D.; Jarrett, T.; Kirkpatrick, J. D.; Liu, W.; Mainzer, A.; Marsh, K.; Masci, F.; McCallon, H.; Padgett, D.; Ressler, M. E.; Royer, D.; Skrutskie, M. F.; Stanford, S. A.; Wyatt, P. L.; Tholen, D.; Tsai, C. W.; Wachter, S.; Wheelock, S. L.; Yan, L.; Alles, R.; Beck, R.; Grav, T.; Masiero, J.; McCollum, B.; McGehee, P.; Wittman, M.

    2011-04-01

    The Wide-field Infrared Survey Explorer (WISE; Wright et al. 2010) surveyed the entire sky at 3.4, 4.6, 12 and 22 microns in 2010, achieving 5-sigma point source sensitivities per band better than 0.08, 0.11, 1 and 6 mJy in unconfused regions on the ecliptic. The WISE Preliminary Data Release, conducted on April 14, 2011, incorporates data covering the first ~57% of the sky surveyed that were processed with initial calibrations and reduction algorithms. Release data products include: (1) an Atlas of 10,464 sets of calibrated, coadded images, depth-of-coverage and uncertainty maps in the four WISE bands, (2) a Source Catalog containing positions and four-band photometry for 257 million objects, and (3) an Explanatory Supplement. Ancillary products include an archive of 754,000 sets of calibrated WISE single-exposure images, uncertainty and bit-mask maps, and a database of 2.2 billion source extractions made from the single-exposure images, and moving object tracklets identified by the NEOWISE program (Mainzer et al. 2011). The Explanatory Supplement to the WISE Preliminary Data Release Products is a general guide for users of the WISE data. The Supplement contains an overview of the WISE mission, facilities, and operations, a description of the contents and formats of the WISE image and tabular data products, and cautionary notes that describe known limitations of the Preliminary Release products. Instructions for accessing the WISE data products via the services of the NASA/IPAC Infrared Science Archive are provided. Detailed descriptions of the data processing system and algorithms used to ingest and convert raw WISE data to the calibrated data products are presented, along with assessments of the achieved sky coverage, photometric and astrometric characteristics and completeness and reliability of the Preliminary Release data products. The WISE Preliminary Release Explanatory Supplement is an on-line document that is updated frequently to provide the most current

  4. Final Report for High Latitude Climate Modeling: ARM Takes Us Beyond Case Studies

    SciTech Connect

    Russell, Lynn M

    2013-06-18

    The main thrust of this project was to devise a method by which the majority of North Slope of Alaska (NSA) meteorological and radiometric data, collected on a daily basis, could be used to evaluate and improve global climate model (GCM) simulations and their parameterizations, particularly for cloud microphysics. Although the standard ARM Program sensors for a less complete suite of instruments for cloud and aerosol studies than the instruments on an intensive field program such as the 2008 Indirect and Semi-Direct Aerosol Campaign (ISDAC), the advantage they offer lies in the long time base and large volume of data that covers a wide range of meteorological and climatological conditions. The challenge has been devising a method to interpret the NSA data in a practical way, so that a wide variety of meteorological conditions in all seasons can be examined with climate models. If successful, climate modelers would have a robust alternative to the usual “case study” approach (i.e., from intensive field programs only) for testing and evaluating their parameterizations’ performance. Understanding climate change on regional scales requires a broad scientific consideration of anthropogenic influences that goes beyond greenhouse gas emissions to also include aerosol-induced changes in cloud properties. For instance, it is now clear that on small scales, human-induced aerosol plumes can exert microclimatic radiative and hydrologic forcing that rivals that of greenhouse gas–forced warming. This project has made significant scientific progress by investigating what causes successive versions of climate models continue to exhibit errors in cloud amount, cloud microphysical and radiative properties, precipitation, and radiation balance, as compared with observations and, in particular, in Arctic regions. To find out what is going wrong, we have tested the models' cloud representation over the full range of meteorological conditions found in the Arctic using the ARM

  5. A protocol for the development of Mediterranean climate services based on the experiences of the CLIM-RUN case studies

    NASA Astrophysics Data System (ADS)

    Goodess, Clare; Ruti, Paolo; Rousset, Nathalie

    2014-05-01

    During the closing stages of the CLIM-RUN EU FP7 project on Climate Local Information in the Mediterranean region Responding to User Needs, the real-world experiences encountered by the case-study teams are being assessed and synthesised to identify examples of good practice and, in particular, to produce the CLIM-RUN protocol for the development of Mediterranean climate services. The specific case studies have focused on renewable energy (Morocco, Spain, Croatia, Cyprus), tourism (Savoie, Tunisia, Croatia, Cyprus) and wild fires (Greece) as well as one cross-cutting case study (Veneto region). They have been implemented following a common programme of local workshops, questionnaires and interviews, with Climate Expert Team and Stakeholder Expert Team members collaborating to identify and translate user needs and subsequently develop climate products and information. Feedback from stakeholders has been essential in assessing and refining these products. The protocol covers the following issues: the overall process and methodological key stages; identification and selection of stakeholders; communication with stakeholders; identification of user needs; translation of needs; producing products; assessing and refining products; methodologies for evaluating the economic value of climate services; and beyond CLIM-RUN - the lessons learnt. Particular emphasis is given to stakeholder analysis in the context of the participatory, bottom-up approach promoted by CLIM-RUN and to the iterative approach taken in the development of climate products. Recommendations are also made for an envisioned three-tier business model for the development of climate services involving climate, intermediary and stakeholder tiers.

  6. Beyond the "Choosing wisely": a possible attempt.

    PubMed

    Bernardini, Roberto; Ricci, Giampaolo; Cipriani, Francesca; Civitelli, Flavio; Indinnimeo, Luciana; Minasi, Domenico; Terracciano, Luigi; Duse, Marzia

    2016-01-01

    Since the fundamental principles of the medical profession were clearly defined in a physician charter in 2002, special considerations have been expressed about the adequate distribution of health care resources taking in account the individual patient needs to optimize the health care service. The correct application of procedures represents a key point in order to reach the appropriateness of care, that means to avoid unnecessary or inappropriate procedures as well as the underutilization of the necessary procedures. In this context, the Choosing wisely campaign have been widely used and disclosed and even the Italian Society of Pediatric Allergology and Immunology - SIAIP has been working to make recommendations in order to ensure the appropriateness of care in the field of allergy and optimize the use of health care resources. PMID:27236414

  7. Principles for the wise use of computers by children.

    PubMed

    Straker, L; Pollock, C; Maslen, B

    2009-11-01

    Computer use by children at home and school is now common in many countries. Child computer exposure varies with the type of computer technology available and the child's age, gender and social group. This paper reviews the current exposure data and the evidence for positive and negative effects of computer use by children. Potential positive effects of computer use by children include enhanced cognitive development and school achievement, reduced barriers to social interaction, enhanced fine motor skills and visual processing and effective rehabilitation. Potential negative effects include threats to child safety, inappropriate content, exposure to violence, bullying, Internet 'addiction', displacement of moderate/vigorous physical activity, exposure to junk food advertising, sleep displacement, vision problems and musculoskeletal problems. The case for child specific evidence-based guidelines for wise use of computers is presented based on children using computers differently to adults, being physically, cognitively and socially different to adults, being in a state of change and development and the potential to impact on later adult risk. Progress towards child-specific guidelines is reported. Finally, a set of guideline principles is presented as the basis for more detailed guidelines on the physical, cognitive and social impact of computer use by children. The principles cover computer literacy, technology safety, child safety and privacy and appropriate social, cognitive and physical development. The majority of children in affluent communities now have substantial exposure to computers. This is likely to have significant effects on child physical, cognitive and social development. Ergonomics can provide and promote guidelines for wise use of computers by children and by doing so promote the positive effects and reduce the negative effects of computer-child, and subsequent computer-adult, interaction. PMID:19851906

  8. WISeREP—An Interactive Supernova Data Repository

    NASA Astrophysics Data System (ADS)

    Yaron, Ofer; Gal-Yam, Avishay

    2012-07-01

    We have entered an era of massive data sets in astronomy. In particular, the number of supernova (SN) discoveries and classifications has substantially increased over the years from few tens to thousands per year. It is no longer the case that observations of a few prototypical events encapsulate most spectroscopic information about SNe, motivating the development of modern tools to collect, archive, organize, and distribute spectra in general and SN spectra in particular. For this reason, we have developed the Weizmann Interactive Supernova Data Repository (WISeREP)—an SQL-based database (DB) with an interactive Web-based graphical interface. The system serves as an archive of high-quality SN spectra, including both historical (legacy) data and data that are accumulated by ongoing modern programs. The archive provides information about objects, their spectra, and related metadata. Utilizing interactive plots, we provide a graphical interface to visualize data, perform line identification of the major relevant species, determine object redshifts, classify SNe, and measure expansion velocities. Guest users may view and download spectra or other data that have been placed in the public domain. Registered users may also view and download data that are proprietary to specific programs with which they are associated. The DB currently holds more than 8000 spectra, of which more than 5000 are public; the latter include published spectra from the Palomar Transient Factory (PTF), all of the SUSPECT (Supernova Spectrum) archive, the Caltech-Core-Collapse Program (CCCP), the CfA SN spectra archive, and published spectra from the University of California, Berkeley, SNDB repository. It offers an efficient and convenient way to archive data and share it with colleagues, and we expect that data stored in this way will be easy to access, increasing its visibility, usefulness, and scientific impact. We encourage the SN community worldwide to make use of the data and tools

  9. Does internal climate variability overwhelm climate change signals in streamflow? The upper Po and Rhone basin case studies.

    PubMed

    Fatichi, S; Rimkus, S; Burlando, P; Bordoy, R

    2014-09-15

    Projections of climate change effects in streamflow are increasingly required to plan water management strategies. These projections are however largely uncertain due to the spread among climate model realizations, internal climate variability, and difficulties in transferring climate model results at the spatial and temporal scales required by catchment hydrology. A combination of a stochastic downscaling methodology and distributed hydrological modeling was used in the ACQWA project to provide projections of future streamflow (up to year 2050) for the upper Po and Rhone basins, respectively located in northern Italy and south-western Switzerland. Results suggest that internal (stochastic) climate variability is a fundamental source of uncertainty, typically comparable or larger than the projected climate change signal. Therefore, climate change effects in streamflow mean, frequency, and seasonality can be masked by natural climatic fluctuations in large parts of the analyzed regions. An exception to the overwhelming role of stochastic variability is represented by high elevation catchments fed by glaciers where streamflow is expected to be considerably reduced due to glacier retreat, with consequences appreciable in the main downstream rivers in August and September. Simulations also identify regions (west upper Rhone and Toce, Ticino river basins) where a strong precipitation increase in the February to April period projects streamflow beyond the range of natural climate variability during the melting season. This study emphasizes the importance of including internal climate variability in climate change analyses, especially when compared to the limited uncertainty that would be accounted for by few deterministic projections. The presented results could be useful in guiding more specific impact studies, although design or management decisions should be better based on reliability and vulnerability criteria as suggested by recent literature. PMID:24418218

  10. Data Wise in Action: Stories of Schools Using Data to Improve Teaching and Learning

    ERIC Educational Resources Information Center

    Boudett, Kathryn Parker, Ed.; Steele, Jennifer L., Ed.

    2007-01-01

    What does it look like when a school uses data wisely? "Data Wise in Action", a new companion and sequel to the bestselling "Data Wise", tells the stories of eight very different schools following the Data Wise process of using assessment results to improve teaching and learning. "Data Wise in Action" highlights the leadership challenges schools…

  11. Test-Wiseness, Memory, and Academic Performance in University Students.

    ERIC Educational Resources Information Center

    Gentry, Janine M.; Perry, James S.

    This study examines the relationship between test-wiseness, memory, and grade-point average in college students. Test wiseness is defined as a subject's capacity to utilize the characteristics and format of a test to receive a higher score, independent of the examinee's knowledge of the subject matter. Researchers hypothesized that test-wiseness…

  12. Constructing Perceptions of Climate Change: a case study of regional political decision makers

    NASA Astrophysics Data System (ADS)

    Bray, D.

    2012-12-01

    This case study of climate change communications assesses the salient means of communication and the message adopted by regional political decision makers on the German Baltic coast. Realizing that cultural factors and local values (and not simply knowledge) are significant influences in explaining attitudes towards climate change, this analysis draws from the records of regional weather, from scientists with a specific focus on the region, from the political decision makers for that region, and the media message reaching the decision makers, ensuring all elements of the analysis are drawn from the same socioeconomic, geophysical, political and cultural context. This is important as the social dynamics surrounding the trust in science is of critical importance and, as such, all elements of the case study are specifically contained within a common context. If the utility of climate change knowledge is to prompt well conceived adaptation/mitigation strategies then the political decision process, or at least the perceptions shaping it, can best be understood by locating it within the world view of the decision makers involved in the production process. Using the results of two survey questionnaires, one of regional climate scientists and one of regional political decision makers, ten years of local weather records, and a summary of the message from mass media circulation, the discord in perceptions of regional climate change are quantitatively explored. The conclusions drawn from the analysis include, compared to the scientific assessment: The decision makers' perceptions of recent past differ from actual observations. The decision makers' perceptions of the future differ from scientific assessments. The decision makers tend to over estimate the magnitude of regional climate change and its impacts. The decision makers tend to over estimate the sense of immediacy for adaptation measures. The conclusions drawn suggest that in the regional political realm, it is often a

  13. Evaluation of Body-Wise and Organ-Wise Registrations For Abdominal Organs

    PubMed Central

    Xu, Zhoubing; Panjwani, Sahil A.; Lee, Christopher P.; Burke, Ryan P.; Baucom, Rebeccah B.; Poulose, Benjamin K.; Abramson, Richard G.; Landman, Bennett A.

    2016-01-01

    Identifying cross-sectional and longitudinal correspondence in the abdomen on computed tomography (CT) scans is necessary for quantitatively tracking change and understanding population characteristics, yet abdominal image registration is a challenging problem. The key difficulty in solving this problem is huge variations in organ dimensions and shapes across subjects. The current standard registration method uses the global or body-wise registration technique, which is based on the global topology for alignment. This method (although producing decent results) has substantial influence of outliers, thus leaving room for significant improvement. Here, we study a new image registration approach using local (organ-wise registration) by first creating organ-specific bounding boxes and then using these regions of interest (ROIs) for aligning references to target. Based on Dice Similarity Coefficient (DSC), Mean Surface Distance (MSD) and Hausdorff Distance (HD), the organ-wise approach is demonstrated to have significantly better results by minimizing the distorting effects of organ variations. This paper compares exclusively the two registration methods by providing novel quantitative and qualitative comparison data and is a subset of the more comprehensive problem of improving the multi-atlas segmentation by using organ normalization. PMID:27127329

  14. Evaluation of body-wise and organ-wise registrations for abdominal organs

    NASA Astrophysics Data System (ADS)

    Xu, Zhoubing; Panjwani, Sahil A.; Lee, Christopher P.; Burke, Ryan P.; Baucom, Rebeccah B.; Poulose, Benjamin K.; Abramson, Richard G.; Landman, Bennett A.

    2016-03-01

    Identifying cross-sectional and longitudinal correspondence in the abdomen on computed tomography (CT) scans is necessary for quantitatively tracking change and understanding population characteristics, yet abdominal image registration is a challenging problem. The key difficulty in solving this problem is huge variations in organ dimensions and shapes across subjects. The current standard registration method uses the global or body-wise registration technique, which is based on the global topology for alignment. This method (although producing decent results) has substantial influence of outliers, thus leaving room for significant improvement. Here, we study a new image registration approach using local (organ-wise registration) by first creating organ-specific bounding boxes and then using these regions of interest (ROIs) for aligning references to target. Based on Dice Similarity Coefficient (DSC), Mean Surface Distance (MSD) and Hausdorff Distance (HD), the organ-wise approach is demonstrated to have significantly better results by minimizing the distorting effects of organ variations. This paper compares exclusively the two registration methods by providing novel quantitative and qualitative comparison data and is a subset of the more comprehensive problem of improving the multi-atlas segmentation by using organ normalization.

  15. The Arctic as a test case for an assessment of climate impacts on national security.

    SciTech Connect

    Taylor, Mark A.; Zak, Bernard Daniel; Backus, George A.; Ivey, Mark D.; Boslough, Mark Bruce Elrick

    2008-11-01

    The Arctic region is rapidly changing in a way that will affect the rest of the world. Parts of Alaska, western Canada, and Siberia are currently warming at twice the global rate. This warming trend is accelerating permafrost deterioration, coastal erosion, snow and ice loss, and other changes that are a direct consequence of climate change. Climatologists have long understood that changes in the Arctic would be faster and more intense than elsewhere on the planet, but the degree and speed of the changes were underestimated compared to recent observations. Policy makers have not yet had time to examine the latest evidence or appreciate the nature of the consequences. Thus, the abruptness and severity of an unfolding Arctic climate crisis has not been incorporated into long-range planning. The purpose of this report is to briefly review the physical basis for global climate change and Arctic amplification, summarize the ongoing observations, discuss the potential consequences, explain the need for an objective risk assessment, develop scenarios for future change, review existing modeling capabilities and the need for better regional models, and finally to make recommendations for Sandia's future role in preparing our leaders to deal with impacts of Arctic climate change on national security. Accurate and credible regional-scale climate models are still several years in the future, and those models are essential for estimating climate impacts around the globe. This study demonstrates how a scenario-based method may be used to give insights into climate impacts on a regional scale and possible mitigation. Because of our experience in the Arctic and widespread recognition of the Arctic's importance in the Earth climate system we chose the Arctic as a test case for an assessment of climate impacts on national security. Sandia can make a swift and significant contribution by applying modeling and simulation tools with internal collaborations as well as with outside

  16. Cool Astronomy: Education and Public Outreach for the WISE mission

    NASA Astrophysics Data System (ADS)

    Mendez, Bryan J.

    2011-01-01

    The Education and Public Outreach (E/PO) program of the Wide-field Infrared Survey Explorer (WISE) aims to educate and engage students, teachers, and the general public in the endeavor of science. We bring a collection of accomplished professionals in formal and informal astronomy education from around the nation to create learning materials and experiences that appeal to broad audiences. Our E/PO program trains teachers in science, technology, engineering, and mathematics (STEM) topics related to WISE; creates standards-based classroom resources and lessons using WISE data and WISE-related STEM topics; develops interactive programming for museums and science centers; and inspires the public with WISE science and images.

  17. How WISE Points to Future Far-Infrared Missions

    NASA Technical Reports Server (NTRS)

    Benford, Dominic J.; Leisawitz, D. T.; Wright, E. L.

    2011-01-01

    Based on the tantalizing science that is emerging from the first WISE discoveries, we consider the impact that the future will bring to far-infrared mission concepts. What we've learned from WISE gives us new investigations for missions like SPICA and SPIRIT. We highlight the new results from WISE and incorporate that into the context of the Far-Infrared Community Plan and the recent New Worlds, New Horizons documents. Plain-Language Abstract: Based on tantalizing science emerging from the first WISE discoveries, what we've learned gives us new investigations for missions like SPICA and SPIRIT. We highlight the new results from WISE and incorporate that into the context of the Far-Infrared Community Plan and the recent New Worlds, New Horizons documents.

  18. Strategic decision making under climate change: a case study on Lake Maggiore water system

    NASA Astrophysics Data System (ADS)

    Micotti, M.; Soncini Sessa, R.; Weber, E.

    2014-09-01

    Water resources planning processes involve different kinds of decisions that are generally evaluated under a stationary climate scenario assumption. In general, the possible combinations of interventions are mutually compared as single alternatives. However, the ongoing climate change requires us to reconsider this approach. Indeed, what have to be compared are not individual alternatives, but families of alternatives, characterized by the same structural decisions, i.e. by actions that have long-term effects and entail irrevocable changes in the system. The rationale is that the structural actions, once they have been implemented, cannot be easily modified, while the management decisions can be adapted to the evolving conditions. This paper considers this methodological problem in a real case study, in which a strategic decision has to be taken: a new barrage was proposed to regulate Lake Maggiore outflow, but, alternatively, either the present barrage can be maintained with its present regulation norms or with a new one. The problem was dealt with by multi-criteria decision analysis involving many stakeholders and two decision-makers. An exhaustive set of indicators was defined in the participatory process, conducted under the integrated water resource management paradigm, and many efficient (in Pareto sense) regulation policies were identified. The paper explores different formulations of a global index to evaluate and compare the effectiveness of the classes of alternatives under both stationary and changing hydrological scenarios in order to assess their adaptability to the ongoing climate change.

  19. EXTENDING THE NEARBY GALAXY HERITAGE WITH WISE: FIRST RESULTS FROM THE WISE ENHANCED RESOLUTION GALAXY ATLAS

    SciTech Connect

    Jarrett, T. H.; Masci, F.; Tsai, C. W.; Petty, S.; Lake, S.; Wright, E.; Cluver, M. E.; Assef, Roberto J.; Eisenhardt, P.; Benford, D.; Blain, A.; Bridge, C.; Neill, James D.; Donoso, E.; Koribalski, B.; Seibert, M.; Sheth, K.; Stanford, S.

    2013-01-01

    The Wide-field Infrared Survey Explorer (WISE) mapped the entire sky at mid-infrared wavelengths 3.4 {mu}m, 4.6 {mu}m, 12 {mu}m, and 22 {mu}m. The mission was primarily designed to extract point sources, leaving resolved and extended sources, for the most part, unexplored. Accordingly, we have begun a dedicated WISE Enhanced Resolution Galaxy Atlas (WERGA) project to fully characterize large, nearby galaxies and produce a legacy image atlas and source catalog. Here we demonstrate the first results of the WERGA project for a sample of 17 galaxies, chosen to be of large angular size, diverse morphology, and covering a range in color, stellar mass, and star formation. It includes many well-studied galaxies, such as M 51, M 81, M 87, M 83, M 101, and IC 342. Photometry and surface brightness decomposition is carried out after special super-resolution processing, achieving spatial resolutions similar to that of Spitzer Infrared Array Camera. The enhanced resolution method is summarized in the first paper of this two-part series. In this second work, we present WISE, Spitzer, and Galaxy Evolution Explorer (GALEX) photometric and characterization measurements for the sample galaxies, combining the measurements to study the global properties. We derive star formation rates using the polycyclic aromatic hydrocarbon sensitive 12 {mu}m (W3) fluxes, warm-dust sensitive 22 {mu}m (W4) fluxes, and young massive-star sensitive ultraviolet (UV) fluxes. Stellar masses are estimated using the 3.4 {mu}m (W1) and 4.6 {mu}m (W2) measurements that trace the dominant stellar mass content. We highlight and showcase the detailed results of M 83, comparing the WISE/Spitzer results with the Australia Telescope Compact Array H I gas distribution and GALEX UV emission, tracing the evolution from gas to stars. In addition to the enhanced images, WISE's all-sky coverage provides a tremendous advantage over Spitzer for building a complete nearby galaxy catalog, tracing both stellar mass and star

  20. Operational resilience of reservoirs to climate change, agricultural demand, and tourism: A case study from Sardinia.

    PubMed

    Mereu, Simone; Sušnik, Janez; Trabucco, Antonio; Daccache, Andre; Vamvakeridou-Lyroudia, Lydia; Renoldi, Stefano; Virdis, Andrea; Savić, Dragan; Assimacopoulos, Dionysis

    2016-02-01

    Many (semi-) arid locations globally, and particularly islands, rely heavily on reservoirs for water supply. Some reservoirs are particularly vulnerable to climate and development changes (e.g. population change, tourist growth, hydropower demands). Irregularities and uncertainties in the fluvial regime associated with climate change and the continuous increase in water demand by different sectors will add new challenges to the management and to the resilience of these reservoirs. The resilience of vulnerable reservoirs must be studied in detail to prepare for and mitigate potential impacts of these changes. In this paper, a reservoir balance model is developed and presented for the Pedra e' Othoni reservoir in Sardinia, Italy, to assess resilience to climate and development changes. The model was first calibrated and validated, then forced with extensive ensemble climate data for representative concentration pathways (RCPs) 4.5 and 8.5, agricultural data, and with four socio-economic development scenarios. Future projections show a reduction in annual reservoir inflow and an increase in demand, mainly in the agricultural sector. Under no scenario is reservoir resilience significantly affected, the reservoir always achieves refill. However, this occurs at the partial expenses of hydropower production with implications for the production of renewable energy. There is also the possibility of conflict between the agricultural sector and hydropower sector for diminishing water supply. Pedra e' Othoni reservoir shows good resilience to future change mostly because of the disproportionately large basin feeding it. However this is not the case of other Sardinian reservoirs and hence a detailed resilience assessment of all reservoirs is needed, where development plans should carefully account for the trade-offs and potential conflicts among sectors. For Sardinia, the option of physical connection between reservoirs is available, as are alternative water supply measures

  1. WISE Detections of Known QSOs at Redshifts Greater than Six

    NASA Astrophysics Data System (ADS)

    Blain, Andrew W.; Assef, Roberto; Stern, Daniel; Tsai, Chao-Wei; Eisenhardt, Peter; Bridge, Carrie; Benford, Dominic; Jarrett, Tom; Cutri, Roc; Petty, Sara; Wu, Jingwen; Wright, Edward L.

    2013-12-01

    We present WISE All-Sky mid-infrared (IR) survey detections of 55% (17/31) of the known QSOs at z > 6 from a range of surveys: the SDSS, the CFHT-LS, FIRST, Spitzer, and UKIDSS. The WISE catalog thus provides a substantial increase in the quantity of IR data available for these sources: 17 are detected in the WISE W1 (3.4 μm) band, 16 in W2 (4.6 μm), 3 in W3 (12 μm), and 0 in W4 (22 μm). This is particularly important with Spitzer in its warm-mission phase and no faint follow-up capability at wavelengths longward of 5 μm until the launch of James Webb Space Telescope (JWST). WISE thus provides a useful tool for understanding QSOs found in forthcoming large-area optical/IR sky surveys using PanSTARRS, SkyMapper, VISTA, DES, and LSST. The rest-UV properties of the WISE-detected and the WISE-non-detected samples differ: the detections have brighter i/z-band magnitudes and redder rest-UV colors. This suggests that a more aggressive hunt for very high redshift QSOs by combining WISE W1 and W2 data with red, observed optical colors could be effective at least for a subset of dusty candidate QSOs. Stacking the WISE images of the WISE-non-detected QSOs indicates that they are, on average, significantly fainter than the WISE-detected examples, and are thus not narrowly missing detection in the WISE catalog. The WISE catalog detection of three of our sample in the W3 band indicates that their mid-IR flux can be detected individually, although there is no stacked W3 detection of sources detected in W1 but not W3. Stacking analyses of WISE data for large active galactic nucleus samples will be a useful tool, and high-redshift QSOs of all types will be easy targets for JWST.

  2. 75 FR 51806 - Climate Change Vulnerability Assessment: Four Case Studies of Water Utility Practices

    Federal Register 2010, 2011, 2012, 2013, 2014

    2010-08-23

    ... that are leaders in climate adaptation to understand and respond to climate risk. The public comment... issues and current approaches taken by selected utilities that are leaders in climate adaptation...

  3. Wise Regulates Bone Deposition through Genetic Interactions with Lrp5

    PubMed Central

    Ellies, Debra L.; Economou, Androulla; Viviano, Beth; Rey, Jean-Philippe; Paine-Saunders, Stephenie; Krumlauf, Robb; Saunders, Scott

    2014-01-01

    In this study using genetic approaches in mouse we demonstrate that the secreted protein Wise plays essential roles in regulating early bone formation through its ability to modulate Wnt signaling via interactions with the Lrp5 co-receptor. In Wise−/− mutant mice we find an increase in the rate of osteoblast proliferation and a transient increase in bone mineral density. This change in proliferation is dependent upon Lrp5, as Wise;Lrp5 double mutants have normal bone mass. This suggests that Wise serves as a negative modulator of Wnt signaling in active osteoblasts. Wise and the closely related protein Sclerostin (Sost) are expressed in osteoblast cells during temporally distinct early and late phases in a manner consistent with the temporal onset of their respective increased bone density phenotypes. These data suggest that Wise and Sost may have common roles in regulating bone development through their ability to control the balance of Wnt signaling. We find that Wise is also required to potentiate proliferation in chondrocytes, serving as a potential positive modulator of Wnt activity. Our analyses demonstrate that Wise plays a key role in processes that control the number of osteoblasts and chondrocytes during bone homeostasis and provide important insight into mechanisms regulating the Wnt pathway during skeletal development. PMID:24789067

  4. The WISE Satellite Development: Managing the Risks and the Opportunities

    NASA Technical Reports Server (NTRS)

    Duval, Valerie G.; Elwell, John D.; Howard, Joan F.; Irace, William R.; Liu, Feng-Chuan

    2010-01-01

    NASA's Wide-field Infrared Survey Explorer (WISE) MIDEX mission is surveying the entire sky in four infrared bands from 3.4 to 22 micrometers. The WISE instrument consists of a 40 cm telescope, a solid hydrogen cryostat, a scan mirror mechanism, and four 1K x1K infrared detectors. The WISE spacecraft bus provides communication, data handling, and avionics including instrument pointing. A Delta 7920 successfully launched WISE into a Sun-synchronous polar orbit on December 14, 2009. WISE was competitively selected by NASA as a Medium cost Explorer mission (MIDEX) in 2002. MIDEX missions are led by the Principal Investigator who delegates day-to-day management to the Project Manager. Given the tight cost cap and relatively short development schedule, NASA chose to extend the development period one year with an option to cancel the mission if certain criteria were not met. To meet this and other challenges, the WISE management team had to learn to work seamlessly across institutional lines and to recognize risks and opportunities in order to develop the flight hardware within the project resources. In spite of significant technical issues, the WISE satellite was delivered on budget and on schedule. This paper describes our management approach and risk posture, technical issues, and critical decisions made.

  5. WISE Observations of Rendezvous Mission Candidate Comets

    NASA Astrophysics Data System (ADS)

    Lisse, Carey M.; Bauer, J. M.; Fernandez, Y. R.; Mainzer, A. K.; Walker, R. G.; Meech, K. J.; Grav, T.; Weissman, P. R.; Kramer, E.; Stevenson, R.

    2012-10-01

    In 1992, Osip et al. wrote: "Several comet flyby and/or rendezvous missions are currently being planned, for which supporting groundbased data from previous apparitions should prove useful. Here, we discuss groundbased narrowband photometry obtained over the last 15 years for nine candidate comets, five of which have been observed on multiple apparitions -- we derive limits on the size of each cometary nucleus. In order to facilitate spacecraft mission planning, we also present molecular abundance ratios, note variations in cometary activity as a function of orbital position and between apparitions, and note the overall degree of dustiness. A detailed analysis of the characteristics of these nine viable mission candidates will provide necessary information for prioritizing targets for any future missions." In this work, we update Osip et al.'s 1992 work using recent photometric infrared observations of the best candidate comet spacecraft targets observed by WISE and other (IRAS, MSX, ISO, Spitzer) infrared space telescopes. The comets studied include 2P/Encke, 9P/Tempel 1, 10P Tempe1 2, 19P/Borrelly, 22P/Kopff, 67P/Churyumov-Gerasimenko, 81P/Wild, 103P/Hartley 2, 107P/Wilson-Harrington. We present imagery, photometry, and temporal trend data, and derived estimates of the dust mass, spatial distribution, albedo/emissivity, and PSD for each comet.

  6. Update on the Wide-field Infrared Survey Explorer (WISE)

    NASA Technical Reports Server (NTRS)

    Mainzer, Amanda K.; Eisenhardt, Peter; Wright, Edward L.; Liu, Feng-Chuan; Irace, William; Heinrichsen, Ingolf; Cutri, Roc; Duval, Valerie

    2006-01-01

    The Wide-field Infrared Survey Explorer (WISE), a NASA MIDEX mission, will survey the entire sky in four bands from 3.3 to 23 microns with a sensitivity 1000 times greater than the IRAS survey. The WISE survey will extend the Two Micron All Sky Survey into the thermal infrared and will provide an important catalog for the James Webb Space Telescope. Using 1024(sup 2) HgCdTe and Si:As arrays at 3.3, 4.7, 12 and 23 microns, WISE will find the most luminous galaxies in the universe, the closest stars to the Sun, and it will detect most of the main belt asteroids larger than 3 km. The single WISE instrument consists of a 40 cm diamond-turned aluminum afocal telescope, a two-stage solid hydrogen cryostat, a scan mirror mechanism, and reimaging optics giving 5 resolution (full-width-half-maximum). The use of dichroics and beamsplitters allows four color images of a 47' x47' field of view to be taken every 8.8 seconds, synchronized with the orbital motion to provide total sky coverage with overlap between revolutions. WISE will be placed into a Sun-synchronous polar orbit on a Delta 7320-10 launch vehicle. The WISE survey approach is simple and efficient. The three-axis-stabilized spacecraft rotates at a constant rate while the scan mirror freezes the telescope line of sight during each exposure. WISE has completed its mission Preliminary Design Review and its NASA Confirmation Review, and the project is awaiting confirmation from NASA to proceed to the Critical Design phase. Much of the payload hardware is now complete, and assembly of the payload will occur over the next year. WISE is scheduled to launch in late 2009; the project web site can be found at www.wise.ssl.berkeley.edu.

  7. - A case study for sessile oak (Quercus petraea) distribution - Preliminarly results of a Decision Support System for climate impact analysis

    NASA Astrophysics Data System (ADS)

    Gulyás, Krisztina; Gálos, Borbála; Berki, Imre; Czimber, Kornél

    2014-05-01

    Rainfed sectors of forestry are threatened by projected climate change especially in low-elevation regions in Southeast Europe, where precipitation is the limiting factor of production and ecosystem stability. To initiate preparation for frequency increase of extreme events, disasters and economic losses, a Decision Support System is under development, which provides GIS-supported information about the most important regional and local risks and mitigation options regarding climate change impacts. The case study will focus on the following aspects: • For the time period 1961-2010, precipitation and temperature means and extreme events have been analyzed in the Carpathian basin, using gridded station data from the EU-project CARPATCLIM (http://www.carpatclim-eu.org). • The climate indicators have been identified that characterize and determine the distribution, healty status and vitality of sessile oak. • As a product of the Decision Support System a distribution model is under development, which describes the connection between climate conditions and the distribution of sessile oak. The case study shows, how climate data can be used for impact analyses in the forestry sector. Applying different climate change scenarios, the expected distribution of tree species can be simulated. Acknowledgements: The development of the Decision Support System "Agrárklíma" is supported by TÁMOP-4.2.2.A-11/1/KONV and 4.2.2.B-10/1-2010-0018 "Talentum" joint EU-national research projects. Keywords: climate change, decision support system, distribution model, sessile oak

  8. Climate change impact and adaptation research requires integrated assessment and farming systems analysis: a case study in the Netherlands

    NASA Astrophysics Data System (ADS)

    Reidsma, Pytrik; Wolf, Joost; Kanellopoulos, Argyris; Schaap, Ben F.; Mandryk, Maryia; Verhagen, Jan; van Ittersum, Martin K.

    2015-04-01

    Rather than on crop modelling only, climate change impact assessments in agriculture need to be based on integrated assessment and farming systems analysis, and account for adaptation at different levels. With a case study for Flevoland, the Netherlands, we illustrate that (1) crop models cannot account for all relevant climate change impacts and adaptation options, and (2) changes in technology, policy and prices have had and are likely to have larger impacts on farms than climate change. While crop modelling indicates positive impacts of climate change on yields of major crops in 2050, a semi-quantitative and participatory method assessing impacts of extreme events shows that there are nevertheless several climate risks. A range of adaptation measures are, however, available to reduce possible negative effects at crop level. In addition, at farm level farmers can change cropping patterns, and adjust inputs and outputs. Also farm structural change will influence impacts and adaptation. While the 5th IPCC report is more negative regarding impacts of climate change on agriculture compared to the previous report, also for temperate regions, our results show that when putting climate change in context of other drivers, and when explicitly accounting for adaptation at crop and farm level, impacts may be less negative in some regions and opportunities are revealed. These results refer to a temperate region, but an integrated assessment may also change perspectives on climate change for other parts of the world.

  9. Undergraduate Students' Conceptions of Natural and Anthropogenic Climate Change: A Case Study Approach

    ERIC Educational Resources Information Center

    Trenbath, Thien-Kim Leckie

    2012-01-01

    This dissertation shows the evolution of five undergraduate students' ideas of natural and anthropogenic climate change throughout a lecture hall course on climate change. This research was informed by conceptual change theory and students' inaccurate ideas of climate change. Subjects represented different levels of climate change understanding at…

  10. Sediment transport patterns and climate change: the downstream Tuul River case study, Northern Mongolia.

    NASA Astrophysics Data System (ADS)

    Pietroń, Jan; Jarsjö, Jerker

    2014-05-01

    Ongoing changes in the Central Asian climate including increasing temperatures can influence the hydrological regimes of rivers and the waterborne transport of sediments. Changes in the latter, especially in combination with adverse human activities, may severely impact water quality and aquatic ecosystems. However, waterborne transport of sediments is a result of complex processes and varies considerably between, and even within, river systems. There is therefore a need to increase our general knowledge about sediment transport under changing climate conditions. The Tuul River, the case site of this study, is located in the upper part of the basin of the Selenga River that is the main tributary to Lake Baikal, a UNESCO World Heritage Site. Like many other rivers located in the steppes of Northern Mongolia, the Tuul River is characterized by a hydrological regime that is not disturbed by engineered structures such as reservoirs and dams. However, the water quality of the downstream Tuul River is increasingly affected by adverse human activities - including placer gold mining. The largest contribution to the annual river discharge occurs during the relatively warm period in May to August. Typically, there are numerous rainfall events during this period that cause considerable river flow peaks. Parallel work has furthermore shown that due to climate change, the daily variability of discharge and numbers of peak flow events in the Tuul River Basin has increased during the past 60 years. This trend is expected to continue. We here aim at increasing our understanding of future sediment transport patterns in the Tuul River, specifically considering the scenario that peak flow events may become more frequent due to climate change. We use a one-dimensional sediment transport model of the downstream reach of the river to simulate natural patterns of sediment transport for a recent hydrological year. In general, the results show that sediment transport varies considerably

  11. NSF-PARCS: A Case Study in Proxy Climate Syntheses for the CCSP Assessment

    NASA Astrophysics Data System (ADS)

    Duvall, M.; Kaufman, D.; MacDonald, G.

    2004-12-01

    The research agenda of the NSF-funded Paleoenvironmental Arctic Sciences (PARCS) program has focused recently on high-resolution records that provide quantifiable estimates of past climates. Syntheses of this research are planned to meet the needs of both the research community and the US Climate Change Science Program. PARCS provides a case study into how proxy climate data generated by a group of collaborating scientists have input into a broader assessment. PARCS was founded in 1999 as an NSF initiative straddling the Arctic System Science (ARCSS) and the Earth System History (ESH) programs to foster a wide range of research on paleoenvironmental change in the Arctic. In March 2001, the PARCS scientific community met to focus its research agenda with the goal of more directly contributing to global-change assessments by providing high-resolution, quantified estimates of past climate. The result was the science plan, "Modes of Arctic Climate Variability and Warmth," an area of research interest under the ESH Program. The plan identified a suite of deliverables that mesh with products now identified by the 2003 CCSP. PARCS has organized workshops addressing this suite of deliverables on the subjects of warm Arctic scenarios (the last interglacial and the Holocene thermal maximum) and variability in Arctic summer temperatures (annual to decadal scale resolution) to review and assemble proxy climate data in preparation for peer-reviewed summaries and for broader dissemination of data syntheses. The goal is to generate data related to these specific themes, and to integrate these data with records currently being produced by other groups nationally and internationally. The data will be assembled, analyzed, and presented as part of a searchable geo-referenced database. PARCS' vehicle for presenting these syntheses beyond peer-reviewed publication is a web-enabled database. The database is being assembled by a PARCS-dedicated data manager whose duties include creation

  12. Climate Change and Adaptation in Irrigated Agriculture-A Case Study of the Yakima River

    SciTech Connect

    Scott, Michael J; Vail, Lance W; Stockle, Claudio O; Kemanian, Armen

    2004-07-22

    Using a case study of the Yakima River Valley in Washington State, we show that relatively simple tools originally developed to forecast the impact of the El Nino phenomenon on water supplies to irrigated agriculture also can be used to estimate the significantly shifted probability distribution of water shortages in irrigated agriculture during climate change, and that these shifted probabilities can be used to estimate the impact on agriculture in a region. The more permanent nature of changes in the temperature and precipitation regime associated with climate change means that risk management options also take a more permanent form (such as changes in crops and cultivars, and adding storage). A number of storage options have been proposed to deal with El Nino-associated drought, and would be more valuable under climate change. The most ambitious of the proposed storage projects is Black Rock, which would add about 500,00 acre-feet of water to supplement the Yakima's current 1.1 million acre-feet, at a cost currently estimated at $1.9 billion. For perspective, economic losses in the Yakima Valley reportedly have been about $100 million in a drought year such as 2001. Under current circumstances, the expected annual fisheries and periodic drought relief benefits may be large enough to justify the expenditure, but since drought has been occasional, environmental consequences of new projects uncertain, and the price tag beyond the reach of all but the Federal government, no projects have been built. The benefits become more certain with warming. Analysis shows that adding 500,000 acre-feet to TWSA would offset El Nino and the effects of 2 C warming.

  13. Climate adaptation wedges: a case study of premium wine in the western United States

    NASA Astrophysics Data System (ADS)

    Diffenbaugh, Noah S.; White, Michael A.; Jones, Gregory V.; Ashfaq, Moetasim

    2011-04-01

    Design and implementation of effective climate change adaptation activities requires quantitative assessment of the impacts that are likely to occur without adaptation, as well as the fraction of impact that can be avoided through each activity. Here we present a quantitative framework inspired by the greenhouse gas stabilization wedges of Pacala and Socolow. In our proposed framework, the damage avoided by each adaptation activity creates an 'adaptation wedge' relative to the loss that would occur without that adaptation activity. We use premium winegrape suitability in the western United States as an illustrative case study, focusing on the near-term period that covers the years 2000-39. We find that the projected warming over this period results in the loss of suitable winegrape area throughout much of California, including most counties in the high-value North Coast and Central Coast regions. However, in quantifying adaptation wedges for individual high-value counties, we find that a large adaptation wedge can be captured by increasing the severe heat tolerance, including elimination of the 50% loss projected by the end of the 2030-9 period in the North Coast region, and reduction of the projected loss in the Central Coast region from 30% to less than 15%. Increased severe heat tolerance can capture an even larger adaptation wedge in the Pacific Northwest, including conversion of a projected loss of more than 30% in the Columbia Valley region of Washington to a projected gain of more than 150%. We also find that warming projected over the near-term decades has the potential to alter the quality of winegrapes produced in the western US, and we discuss potential actions that could create adaptation wedges given these potential changes in quality. While the present effort represents an initial exploration of one aspect of one industry, the climate adaptation wedge framework could be used to quantitatively evaluate the opportunities and limits of climate adaptation

  14. Climate adaptation wedges: a case study of premium wine in the western United States

    SciTech Connect

    Diffenbaugh, Noah; White, Michael A; Jones, Gregory V; Ashfaq, Moetasim

    2011-01-01

    Design and implementation of effective climate change adaptation activities requires quantitative assessment of the impacts that are likely to occur without adaptation, as well as the fraction of impact that can be avoided through each activity. Here we present a quantitative framework inspired by the greenhouse gas stabilization wedges of Pacala and Socolow. In our proposed framework, the damage avoided by each adaptation activity creates an 'adaptation wedge' relative to the loss that would occur without that adaptation activity. We use premium winegrape suitability in the western United States as an illustrative case study, focusing on the near-term period that covers the years 2000 39. We find that the projected warming over this period results in the loss of suitable winegrape area throughout much of California, including most counties in the high-value North Coast and Central Coast regions. However, in quantifying adaptation wedges for individual high-value counties, we find that a large adaptation wedge can be captured by increasing the severe heat tolerance, including elimination of the 50% loss projected by the end of the 2030 9 period in the North Coast region, and reduction of the projected loss in the Central Coast region from 30% to less than 15%. Increased severe heat tolerance can capture an even larger adaptation wedge in the Pacific Northwest, including conversion of a projected loss of more than 30% in the Columbia Valley region of Washington to a projected gain of more than 150%. We also find that warming projected over the near-term decades has the potential to alter the quality of winegrapes produced in the western US, and we discuss potential actions that could create adaptation wedges given these potential changes in quality. While the present effort represents an initial exploration of one aspect of one industry, the climate adaptation wedge framework could be used to quantitatively evaluate the opportunities and limits of climate adaptation

  15. Calculating the Isgur-Wise function on the lattice

    SciTech Connect

    Bernard, C.W. . Dept. of Physics); Shen, Y. . Dept. of Physics); Soni, A. )

    1992-01-01

    We calculate the Isgur-Wise function by measuring the heavy-heavy meson transition matrix element on the lattice. The standard Wilson action is used for both the heavy and light quarks. Our first numerical results are presented.

  16. Calculating the Isgur-Wise function on the lattice

    SciTech Connect

    Bernard, C.W.; Shen, Y.; Soni, A.

    1992-12-31

    We calculate the Isgur-Wise function by measuring the heavy-heavy meson transition matrix element on the lattice. The standard Wilson action is used for both the heavy and light quarks. Our first numerical results are presented.

  17. The impact of an extreme case of irrigation on the southeastern United States climate

    NASA Astrophysics Data System (ADS)

    Selman, Christopher; Misra, Vasubandhu

    2016-05-01

    The impacts of irrigation on southeast United States diurnal climate are investigated using simulations from a regional climate model. An extreme case is assumed, wherein irrigation is set to 100 % of field capacity over the growing season of May through October. Irrigation is applied to the root zone layers of 10-40 and 40-100 cm soil layers only. It is found that in this regime there is a pronounced decrease in monthly averaged temperatures in irrigated regions across all months. In non-irrigated areas a slight warming is simulated. Diurnal maximum temperatures in irrigated areas warm, while diurnal minimum temperatures cool. The daytime warming is attributed to an increase in shortwave flux at the surface owing to diminished low cloud cover. Nighttime and daily mean cooling result as a consequence repartitioning of energy into latent heat flux over sensible heat flux, and of a higher net downward ground heat flux. Excess heat is transported into the deep soil layer, preventing a rapidly intensifying positive feedback loop. Both diurnal and monthly average precipitations are reduced over irrigated areas at a magnitude and spatial pattern similar to one another. Due to the excess moisture availability, evaporation is seen to increase, but this is nearly balanced by a corresponding reduction in sensible heat flux. Concomitant with additional moisture availability is an increase in both transient and stationary moisture flux convergences. However, despite the increase, there is a large-scale stabilization of the atmosphere stemming from a cooled surface.

  18. Eliciting climate experts' knowledge to address model uncertainties in regional climate projections: a case study of Guanacaste, Northwest Costa Rica

    NASA Astrophysics Data System (ADS)

    Grossmann, I.; Steyn, D. G.

    2014-12-01

    Global general circulation models typically cannot provide the detailed and accurate regional climate information required by stakeholders for climate adaptation efforts, given their limited capacity to resolve the regional topography and changes in local sea surface temperature, wind and circulation patterns. The study region in Northwest Costa Rica has a tropical wet-dry climate with a double-peak wet season. During the dry season the central Costa Rican mountains prevent tropical Atlantic moisture from reaching the region. Most of the annual precipitation is received following the northward migration of the ITCZ in May that allows the region to benefit from moist southwesterly flow from the tropical Pacific. The wet season begins with a short period of "early rains" and is interrupted by the mid-summer drought associated with the intensification and westward expansion of the North Atlantic subtropical high in late June. Model projections for the 21st century indicate a lengthening and intensification of the mid-summer drought and a weakening of the early rains on which current crop cultivation practices rely. We developed an expert elicitation to systematically address uncertainties in the available model projections of changes in the seasonal precipitation pattern. Our approach extends an elicitation approach developed previously at Carnegie Mellon University. Experts in the climate of the study region or Central American climate were asked to assess the mechanisms driving precipitation during each part of the season, uncertainties regarding these mechanisms, expected changes in each mechanism in a warming climate, and the capacity of current models to reproduce these processes. To avoid overconfidence bias, a step-by-step procedure was followed to estimate changes in the timing and intensity of precipitation during each part of the season. The questions drew upon interviews conducted with the regions stakeholders to assess their climate information needs. This

  19. VizieR Online Data Catalog: Asteroid (341843) 2008 EV5 WISE light curves (Ali-Lagoa+, 2014)

    NASA Astrophysics Data System (ADS)

    Ali-Lagoa, V.; Lionni, L.; Delbo, M.; Gundlach, B.; Blum, J.; Licandro, J.

    2013-11-01

    The table contains the observation dates and corresponding fluxes (in Jy) in bands W2, W3, and W4 calculated from the magnitudes obtained by the Wide-field Infrared Survey Explorer (WISE) mission and retrieved from the IRSA/IPAC WISE All-Sky Single Exposure (L1b) Source Table (see Cutri et al., 2012, Cat. II/311 for more details about the data catalogue). Column entries with zero flux and corresponding errorbar indicate that measurements were not available in those cases. Dates are corrected for light travel time. (1 data file).

  20. Motivating Complex Dependence Structures in Data Mining: A Case Study with Anomaly Detection in Climate

    SciTech Connect

    Kao, Shih-Chieh; Ganguly, Auroop R; Steinhaeuser, Karsten J K

    2009-01-01

    While data mining aims to identify hidden knowledge from massive and high dimensional datasets, the importance of dependence structure among time, space, and between different variables is less emphasized. Analogous to the use of probability density functions in modeling individual variables, it is now possible to characterize the complete dependence space mathematically through the application of copulas. By adopting copulas, the multivariate joint probability distribution can be constructed without constraint to specific types of marginal distributions. Some common assumptions, like normality and independence between variables, can also be relieved. This study provides fundamental introduction and illustration of dependence structure, aimed at the potential applicability of copulas in general data mining. The case study in hydro-climatic anomaly detection shows that the frequency of multivariate anomalies is affected by the dependence level between variables. The appropriate multivariate thresholds can be determined through a copula-based approach.

  1. Cold-Climate Case Study for Affordable Zero Energy Homes: Preprint

    SciTech Connect

    Norton, P.; Christensen, C.

    2006-07-01

    This project, supported by the U.S. Department of Energy's Building America Program, is a case study in reaching zero energy within the affordable housing sector in cold climates. The design of the 1200 square foot, 3-bedroom Denver zero energy home carefully combines envelope efficiency, efficient equipment, appliances and lighting, and passive and active solar features to reach the zero energy goal. The home was designed using an early version of the BEOpt building optimization software with additional analysis using DOE2. This engineering approach was tempered by regular discussions with Habitat construction staff and volunteers. These discussions weighed the applicability of the optimized solutions to the special needs and economics of a Habitat house--moving the design towards simple, easily maintained mechanical systems and volunteer-friendly construction techniques.

  2. Big Data Sensors of Organic Advocacy: The Case of Leonardo DiCaprio and Climate Change

    PubMed Central

    Althouse, Benjamin M.; Dredze, Mark; Obradovich, Nick; Fowler, James H.; Noar, Seth M.; Allem, Jon-Patrick

    2016-01-01

    The strategies that experts have used to share information about social causes have historically been top-down, meaning the most influential messages are believed to come from planned events and campaigns. However, more people are independently engaging with social causes today than ever before, in part because online platforms allow them to instantaneously seek, create, and share information. In some cases this “organic advocacy” may rival or even eclipse top-down strategies. Big data analytics make it possible to rapidly detect public engagement with social causes by analyzing the same platforms from which organic advocacy spreads. To demonstrate this claim we evaluated how Leonardo DiCaprio’s 2016 Oscar acceptance speech citing climate change motivated global English language news (Bloomberg Terminal news archives), social media (Twitter postings) and information seeking (Google searches) about climate change. Despite an insignificant increase in traditional news coverage (54%; 95%CI: -144 to 247), tweets including the terms “climate change” or “global warming” reached record highs, increasing 636% (95%CI: 573–699) with more than 250,000 tweets the day DiCaprio spoke. In practical terms the “DiCaprio effect” surpassed the daily average effect of the 2015 Conference of the Parties (COP) and the Earth Day effect by a factor of 3.2 and 5.3, respectively. At the same time, Google searches for “climate change” or “global warming” increased 261% (95%CI, 186–335) and 210% (95%CI 149–272) the day DiCaprio spoke and remained higher for 4 more days, representing 104,190 and 216,490 searches. This increase was 3.8 and 4.3 times larger than the increases observed during COP’s daily average or on Earth Day. Searches were closely linked to content from Dicaprio’s speech (e.g., “hottest year”), as unmentioned content did not have search increases (e.g., “electric car”). Because these data are freely available in real time our

  3. Alluvial fan sensitivity to glacial-interglacial climate change: case studies from Death Valley.

    NASA Astrophysics Data System (ADS)

    Whittaker, Alexander; D'Arcy, Mitch; Roda-Boluda, Duna; Brooke, Sam

    2016-04-01

    The effects of climate change on eroding landscapes and the sedimentary record remain poorly understood. The measurement of regional grain size trends in stream-flow deposits provides one way to address this issue because, in principle, these trends embed important information on the dynamics of sediment routing systems and their sensitivity to external forcings. In many cases, downstream stratigraphic fining is primarily driven by selective deposition of sediment. The relative efficiency of this process is determined by the physical characteristics of the input sediment supply and the spatial distribution of subsidence rate, which generates the accommodation necessary for mass extraction. Here, we measure grain size fining rates from apex to toe for alluvial fan systems in Death Valley, California, which have well-exposed modern and late Pleistocene deposits, where the long-term tectonic boundary conditions are known and where climatic variation over this time period is well-constrained. Our field data demonstrate that input grain sizes and input fining rates do vary noticeably over the late Pleistocene-Holocene period in this study area, although there is little evidence for significant changes in rates of faulting in the last 200 ky. For two catchments in the Grapevine Mountains for which we have excellent stratigraphic constraints on modern and 70 ka fan deposits, we use a self-similarity based grain size fining model to understand changes in sediment flux to the fans over this time period. When calibrated with cosmogenically-derived catchment erosion rates, our results show that a 30 % decrease in average precipitation rate over this time-frame led to a 20 % decrease in sediment flux to the fans, and a clear increase in the down-fan rate of fining. This supports existing landscape evolution models that relate a decrease in precipitation rate to a decrease in sediment flux, but implies that the relationship between sediment flux and precipitation rate may be

  4. Big Data Sensors of Organic Advocacy: The Case of Leonardo DiCaprio and Climate Change.

    PubMed

    Leas, Eric C; Althouse, Benjamin M; Dredze, Mark; Obradovich, Nick; Fowler, James H; Noar, Seth M; Allem, Jon-Patrick; Ayers, John W

    2016-01-01

    The strategies that experts have used to share information about social causes have historically been top-down, meaning the most influential messages are believed to come from planned events and campaigns. However, more people are independently engaging with social causes today than ever before, in part because online platforms allow them to instantaneously seek, create, and share information. In some cases this "organic advocacy" may rival or even eclipse top-down strategies. Big data analytics make it possible to rapidly detect public engagement with social causes by analyzing the same platforms from which organic advocacy spreads. To demonstrate this claim we evaluated how Leonardo DiCaprio's 2016 Oscar acceptance speech citing climate change motivated global English language news (Bloomberg Terminal news archives), social media (Twitter postings) and information seeking (Google searches) about climate change. Despite an insignificant increase in traditional news coverage (54%; 95%CI: -144 to 247), tweets including the terms "climate change" or "global warming" reached record highs, increasing 636% (95%CI: 573-699) with more than 250,000 tweets the day DiCaprio spoke. In practical terms the "DiCaprio effect" surpassed the daily average effect of the 2015 Conference of the Parties (COP) and the Earth Day effect by a factor of 3.2 and 5.3, respectively. At the same time, Google searches for "climate change" or "global warming" increased 261% (95%CI, 186-335) and 210% (95%CI 149-272) the day DiCaprio spoke and remained higher for 4 more days, representing 104,190 and 216,490 searches. This increase was 3.8 and 4.3 times larger than the increases observed during COP's daily average or on Earth Day. Searches were closely linked to content from Dicaprio's speech (e.g., "hottest year"), as unmentioned content did not have search increases (e.g., "electric car"). Because these data are freely available in real time our analytical strategy provides substantial lead time

  5. On Pixel-Wise Explanations for Non-Linear Classifier Decisions by Layer-Wise Relevance Propagation

    PubMed Central

    Montavon, Grégoire; Klauschen, Frederick; Müller, Klaus-Robert; Samek, Wojciech

    2015-01-01

    Understanding and interpreting classification decisions of automated image classification systems is of high value in many applications, as it allows to verify the reasoning of the system and provides additional information to the human expert. Although machine learning methods are solving very successfully a plethora of tasks, they have in most cases the disadvantage of acting as a black box, not providing any information about what made them arrive at a particular decision. This work proposes a general solution to the problem of understanding classification decisions by pixel-wise decomposition of nonlinear classifiers. We introduce a methodology that allows to visualize the contributions of single pixels to predictions for kernel-based classifiers over Bag of Words features and for multilayered neural networks. These pixel contributions can be visualized as heatmaps and are provided to a human expert who can intuitively not only verify the validity of the classification decision, but also focus further analysis on regions of potential interest. We evaluate our method for classifiers trained on PASCAL VOC 2009 images, synthetic image data containing geometric shapes, the MNIST handwritten digits data set and for the pre-trained ImageNet model available as part of the Caffe open source package. PMID:26161953

  6. On Pixel-Wise Explanations for Non-Linear Classifier Decisions by Layer-Wise Relevance Propagation.

    PubMed

    Bach, Sebastian; Binder, Alexander; Montavon, Grégoire; Klauschen, Frederick; Müller, Klaus-Robert; Samek, Wojciech

    2015-01-01

    Understanding and interpreting classification decisions of automated image classification systems is of high value in many applications, as it allows to verify the reasoning of the system and provides additional information to the human expert. Although machine learning methods are solving very successfully a plethora of tasks, they have in most cases the disadvantage of acting as a black box, not providing any information about what made them arrive at a particular decision. This work proposes a general solution to the problem of understanding classification decisions by pixel-wise decomposition of nonlinear classifiers. We introduce a methodology that allows to visualize the contributions of single pixels to predictions for kernel-based classifiers over Bag of Words features and for multilayered neural networks. These pixel contributions can be visualized as heatmaps and are provided to a human expert who can intuitively not only verify the validity of the classification decision, but also focus further analysis on regions of potential interest. We evaluate our method for classifiers trained on PASCAL VOC 2009 images, synthetic image data containing geometric shapes, the MNIST handwritten digits data set and for the pre-trained ImageNet model available as part of the Caffe open source package. PMID:26161953

  7. Translating global climate model projections into usable information for water managers and industry: A case study from Tasmania, Australia

    NASA Astrophysics Data System (ADS)

    Bennett, J.; Ling, F.; Graham, B.; Grose, M.; Corney, S.; Holz, G.; White, C.; Gaynor, S.; Bindoff, N.

    2010-09-01

    differentiated. This is important for water managers, as it separates elements outside of their control (climate) from those under their control (e.g. irrigation). While changes in human water use are not considered in the Climate Futures for Tasmania study, Tasmanian water managers will be able to adapt the river systems models to quantify changes in water management policies. Finally, projections of runoff were adapted to run through the Hydro Tasmania Systems model Temsim. Temsim uses hydrological inputs in conjunction with projected power demand and energy prices to simulate the Hydro Tasmania power generation system. The Temsim runs translate CFT climate projections into metrics such as storage levels, power generation, and revenue - metrics that can inform the future operation of the Hydro Tasmania system. The result is climate information tailored to the needs of water managers and industry, ensuring the research will be understandable and useable. This paper presents the communication strategy implemented by Climate Futures for Tasmania, and provides a case study of how interaction with government and industry directed the technical research.

  8. Explanatory Supplement to the WISE All-Sky Release Products

    NASA Technical Reports Server (NTRS)

    2012-01-01

    The Wide-field Infrared Survey Explorer (WISE; Wright et al. 2010) surveyed the entire sky at 3.4, 4.6, 12 and 22 microns in 2010, achieving 5-sigma point source sensitivities per band better than 0.08, 0.11, 1 and 6 mJy in unconfused regions on the ecliptic. The WISE All-Sky Data Release, conducted on March 14, 2012, incorporates all data taken during the full cryogenic mission phase, 7 January 2010 to 6 August 20l0,that were processed with improved calibrations and reduction algorithms. Release data products include: (1) an Atlas of 18,240 match-filtered, calibrated and coadded image sets; (2) a Source Catalog containing positions and four-band photometry for over 563 million objects, and (3) an Explanatory Supplement. Ancillary products include a Reject Table that contains 284 million detections that were not selected for the Source Catalog because they are low signal-to-noise ratio or spurious detections of image artifacts, an archive of over 1.5 million sets of calibrated WISE Single-exposure images, and a database of 9.4 billion source extractions from those single images, and moving object tracklets identified by the NEOWISE program (Mainzer et aI. 2011). The WISE All-Sky Data Release products supersede those from the WISE Preliminary Data Release (Cutri et al. 2011). The Explanatory Supplement to the WISE All-Sky Data Release Products is a general guide for users of the WISE data. The Supplement contains an overview of the WISE mission, facilities, and operations, a detailed description of WISE data processing algorithms, a guide to the content and formals of the image and tabular data products, and cautionary notes that describe known limitations of the All-Sky Release products. Instructions for accessing the WISE data products via the services of the NASA/IPAC Infrared Science Archive are provided. The Supplement also provides analyses of the achieved sky coverage, photometric and astrometric characteristics and completeness and reliability of the All

  9. To what extent does climate explain variations in reported malaria cases in early 20th century Uganda?

    PubMed

    Tompkins, Adrian M; Larsen, Laragh; McCreesh, Nicky; Taylor, David

    2016-01-01

    Malaria case statistics were analysed for the period 1926 to 1960 to identify inter-annual variations in malaria cases for the Uganda Protectorate. The analysis shows the mid-to-late 1930s to be a period of increased reported cases. After World War II, malaria cases trend down to a relative minimum in the early 1950s, before increasing rapidly after 1953 to the end of the decade. Data for the Western Province confirm these national trends, which at the time were attributed to a wide range of causes, including land development and management schemes, population mobility, interventions and misdiagnosis. Climate was occasionally proposed as a contributor to enhanced case numbers, and unusual precipitation patterns were held responsible; temperature was rarely, if ever, considered. In this study, a dynamical malaria model was driven with available precipitation and temperature data from the period for five stations located across a range of environments in Uganda. In line with the historical data, the simulations produced relatively enhanced transmission in the 1930s, although there is considerable variability between locations. In all locations, malaria transmission was low in the late 1940s and early 1950s, steeply increasing after 1954. Results indicate that past climate variability explains some of the variations in numbers of reported malaria cases. The impact of multiannual variability in temperature, while only on the order of 0.5°C, was sufficient to drive some of the trends observed in the statistics and thus the role of climate was likely underestimated in the contemporary reports. As the elimination campaigns of the 1960s followed this partly climate-driven increase in malaria, this emphasises the need to account for climate when planning and evaluating intervention strategies. PMID:27063740

  10. A Case Study in Caribbean Climate Change: Impacts on Crop Suitability and Small Farmer Vulnerability in St. Elizabeth, Jamaica

    NASA Astrophysics Data System (ADS)

    Curtis, W. R.; Gamble, D. W.; Popke, J.

    2013-12-01

    This paper examines some of the implications of climate change for farming in the Caribbean, through an analysis of future crop suitability and a case study of climate variability and agricultural practices in St. Elizabeth Parish, Jamaica. To assess potential changes in Caribbean agriculture, we present results from a water budget model based on a 100-year regional climate projection of temperature and precipitation for the circum-Caribbean basin. We find that future water deficits in the region are climate type-dependent. Savanna climates experience the largest annual changes, while semi-arid environments are greatly impacted in the spring. When the impacts of temperature and precipitation are considered separately, we find that predicted future warming, and the associated increase in evapotranspiration, has a slightly larger climatological effect on crop water need than predicted decreases in precipitation. To illustrate how a changing climate regime may impact agricultural practices, we present results from recent fieldwork in St. Elizabeth Parish, one of the main farming regions on the island of Jamaica. Drawing on data from farmer interviews and a recently-installed weather mesonet, we highlight the ways in which local microclimates influence farmer livelihood strategies and community-level vulnerability. Initial results suggest that farmers are experiencing greater climate variability, and that communities with Savanna and semi-arid type climates may be more susceptible to drought than communities in wetter, higher-elevation microclimates. These changes have enhanced the importance of irrigation technology and water management strategies for successful farming. In this context, we argue, large, well-capitalized farmers may be better able to manage the uncertainties associated with climate change, leading to an uneven landscape of vulnerability across the region.

  11. A case independent approach on the impact of climate change effects on combined sewer system performance.

    PubMed

    Kleidorfer, M; Möderl, M; Sitzenfrei, R; Urich, C; Rauch, W

    2009-01-01

    Design and construction of urban drainage systems has to be done in a predictive way, as the average lifespan of such investments is several decades. The design engineer has to predict many influencing factors and scenarios for future development of a system (e.g. change in land use, population, water consumption and infiltration measures). Furthermore, climate change can cause increased rain intensities which leads to an additional impact on drainage systems. In this paper we compare the behaviour of different performance indicators of combined sewer systems when taking into account long-term environmental change effects (change in rainfall characteristics, change in impervious area and change in dry weather flow). By using 250 virtual case studies this approach is--in principle--a Monte Carlo Simulation in which not only parameter values are varied but the entire system structure and layout is changed in each run. Hence, results are more general and case-independent. For example the consideration of an increase of rainfall intensities by 20% has the same effect as an increase of impervious area of +40%. Such an increase of rainfall intensities could be compensated by infiltration measures in current systems which lead to a reduction of impervious area by 30%. PMID:19759458

  12. WISE: From the Dimmest Stars to the most Luminous Galaxies!

    NASA Astrophysics Data System (ADS)

    Craig, N.; Mendez, B. J.; Wright, E. L.

    2004-12-01

    The Wide-field Infrared Survey Explorer (WISE) Mission, led by UCLA PI Dr. Edward L. Wright is a newly selected MIDEX Mission, scheduled to launch in Summer 2008. WISE will conduct a survey of the entire sky in the infrared (3.5 - 23 microns) with far greater sensitivity than any previous program or mission. WISE will catalogue more than 100,000 asteroids, discover the coolest, dimmest, and nearest stars to the Sun, and determine which are the most luminous galaxies in the Universe. The WISE survey will consist of over a million images, from which hundreds of millions of astronomical objects will be catalogued, providing a vast storehouse of knowledge about the Solar System, the Milky Way, and the Universe. We will discuss our plans for an Education and Public Outreach (E/PO) program for WISE, including how our program will leverage resources from other IR mission E/PO programs such as Spitzer and SOFIA. We will also discuss our plans to partner with the amateur astronomer community to reach out to the K-12 education community, including underserved communities. The University of California, Berkeley's SEGway group from the Space Sciences Laboratory will lead the E/PO efforts of the WISE Mission with formal and informal education partners such as NOAO, Hands-On-Universe, the American Museum of Natural History, Space Science Institute, Space Dynamics Laboratory, the Astronomical Society of the Pacific, and Cornerstone Evaluations. The outreach program of WISE will captivate a wide range of audiences in the formal and informal science education communities with beautiful imagery and engaging science.

  13. Changes in circulation type frequencies for present and future climates - the case of Northwestern Iberian Peninsula

    NASA Astrophysics Data System (ADS)

    Ramos, Alexandre M.; Lorenzo, M. N.; Taboada, J. J.; Gimeno, L.

    2010-05-01

    types for the 3 models and the reanalysis is also analyzed. After assessing the behavior of the three models in the 20th century, we examine changes in the frequency of the circulation types for the three scenarios A1B, B1 and A2. The differences between the respective control run (1961-1999) and the 3 models are accessed and discussed for two future periods of analysis: 2046-2065 and 2081-2099. Lorenzo M.N., J. J. Taboada and L. Gimeno (2008), Links between circulation weather types and teleconnection patterns and their influence on precipitation patterns in Galicia (NW Spain), Int. J. Climatol., 28(11), 1493:1505 doi:10.1002/joc.1646. Ramos, A. M., M. N. Lorenzo, and L. Gimeno (2009), Compatibility between modes of low frequency variability and Circulation Types: a case study of the North West Iberian Peninsula, J. Geophys. Res., doi:10.1029/2009JD012194 Trenberth, K.E., 1990: Recent observed interdecadal climate changes in the northern hemisphere. Bulletin of the American Meteorological Society, 71, 988-993.

  14. Chemistry Teachers' Views on Teaching "Climate Change"--An Interview Case Study from Research-Oriented Learning in Teacher Education

    ERIC Educational Resources Information Center

    Feierabend, Timo; Jokmin, Sebastian; Eilks, Ingo

    2011-01-01

    This paper presents a case study from research-oriented learning in chemistry teacher education. The study evaluates the views of twenty experienced German chemistry teachers about the teaching of climate change in chemistry education. Data was collected using semi-structured interviews about the teachers' experiences and their views about…

  15. Simulation of Urban Climate with High-Resolution WRF Model: A Case Study in Nanjing, China

    SciTech Connect

    Yang, Ben; Zhang, Yaocun; Qian, Yun

    2012-08-05

    In this study, urban climate in Nanjing of eastern China is simulated using 1-km resolution Weather Research and Forecasting (WRF) model coupled with a single-layer Urban Canopy Model. Based on the 10-summer simulation results from 2000 to 2009 we find that the WRF model is capable of capturing the high-resolution features of urban climate over Nanjing area. Although WRF underestimates the total precipitation amount, the model performs well in simulating the surface air temperature, relative humidity, and precipitation frequency, diurnal cycle and inter-annual variability. We find that extremely hot events occur most frequently in urban area, with daily maximum (minimum) temperature exceeding 36ºC (28ºC) in around 40% (32%) of days. Urban Heat Island (UHI) effect at surface is more evident during nighttime than daytime, with 20% of cases the UHI intensity above 2.5ºC at night. However, The UHI affects the vertical structure of Planet Boundary Layer (PBL) more deeply during daytime than nighttime. Net gain for latent heat and net radiation is larger over urban than rural surface during daytime. Correspondingly, net loss of sensible heat and ground heat are larger over urban surface resulting from warmer urban skin. Because of different diurnal characteristics of urban-rural differences in the latent heat, ground heat and other energy fluxes, the near surface UHI intensity exhibits a very complex diurnal feature. UHI effect is stronger in days with less cloud or lower wind speed. Model results reveal a larger precipitation frequency over urban area, mainly contributed by the light rain events (<10 mm day-1). Consistent with satellite dataset, around 10-20% more precipitation occurs in urban than rural area at afternoon induced by more unstable urban PBL, which induces a strong vertical atmospheric mixing and upward moisture transport. A significant enhancement of precipitation is found in the downwind region of urban in our simulations in the afternoon.

  16. Choosing wisely: Review and commentary on anti-nuclear antibody (ANA) testing.

    PubMed

    Fritzler, Marvin J

    2016-03-01

    Choosing Wisely®: Next Steps in Improving Healthcare Value is an initiative of the American Board of Internal Medicine (ABIM) Foundation. The driving forces for the Choosing Wisely (CW) campaign include rising and unstainable health care expenditures and evidence that there is lack of fiscal stewardship of health care resources. The American College of Rheumatology and the Canadian Rheumatology Association published their top five Choosing Wisely recommendations, the first of which pertained to antinuclear antibodies (ANA) and ANA subserology testing. Concerns about the wasteful use of these tests prompted an analysis of the expenditures attributable to ANA testing as a proportion of total health care expenditures and based on a financial model was in the range of 0.00125%. It is suggested that if the sole use of ANA testing is to add evidence to support a diagnosis when the pre-test probability is high, then the ANA test has limited clinical value. Accordingly, the goal of ANA testing needs to be reconsidered and expanded beyond an approach to simply confirming a diagnosis with 'intention to treat' to a goal of case finding of 'pre- or early disease' with an 'intent to prevent' disease. This an area where more significant inroads can be made in preventing end organ disease and thereby reducing health care expenditures HCE. One CW recommendation that bears emphasizing is that, with a few possible exceptions, repeat ANA or ANA subserology testing has little clinical value in monitoring disease activity or predicting a flare. PMID:26687321

  17. Assessment of climate change impacts on rainfall using large scale climate variables and downscaling models - A case study

    NASA Astrophysics Data System (ADS)

    Ahmadi, Azadeh; Moridi, Ali; Lafdani, Elham Kakaei; Kianpisheh, Ghasem

    2014-10-01

    Many of the applied techniques in water resources management can be directly or indirectly influenced by hydro-climatology predictions. In recent decades, utilizing the large scale climate variables as predictors of hydrological phenomena and downscaling numerical weather ensemble forecasts has revolutionized the long-lead predictions. In this study, two types of rainfall prediction models are developed to predict the rainfall of the Zayandehrood dam basin located in the central part of Iran. The first seasonal model is based on large scale climate signals data around the world. In order to determine the inputs of the seasonal rainfall prediction model, the correlation coefficient analysis and the new Gamma Test (GT) method are utilized. Comparison of modelling results shows that the Gamma test method improves the Nash-Sutcliffe efficiency coefficient of modelling performance as 8% and 10% for dry and wet seasons, respectively. In this study, Support Vector Machine (SVM) model for predicting rainfall in the region has been used and its results are compared with the benchmark models such as K-nearest neighbours (KNN) and Artificial Neural Network (ANN). The results show better performance of the SVM model at testing stage. In the second model, statistical downscaling model (SDSM) as a popular downscaling tool has been used. In this model, using the outputs from GCM, the rainfall of Zayandehrood dam is projected under two climate change scenarios. Most effective variables have been identified among 26 predictor variables. Comparison of the results of the two models shows that the developed SVM model has lesser errors in monthly rainfall estimation. The results show that the rainfall in the future wet periods are more than historical values and it is lower than historical values in the dry periods. The highest monthly uncertainty of future rainfall occurs in March and the lowest in July.

  18. Predicting Unprecedented Dengue Outbreak Using Imported Cases and Climatic Factors in Guangzhou, 2014

    PubMed Central

    Bi, Peng; Yang, Weizhong; Yang, Zhicong; Xu, Lei; Yang, Jun; Liu, Xiaobo; Jiang, Tong; Wu, Haixia; Chu, Cordia; Liu, Qiyong

    2015-01-01

    Introduction Dengue is endemic in more than 100 countries, mainly in tropical and subtropical regions, and the incidence has increased 30-fold in the past 50 years. The situation of dengue in China has become more and more severe, with an unprecedented dengue outbreak hitting south China in 2014. Building a dengue early warning system is therefore urgent and necessary for timely and effective response. Methodology and Principal Findings In the study we developed a time series Poisson multivariate regression model using imported dengue cases, local minimum temperature and accumulative precipitation to predict the dengue occurrence in four districts of Guangzhou, China. The time series data were decomposed into seasonal, trend and remainder components using a seasonal-trend decomposition procedure based on loess (STL). The time lag of climatic factors included in the model was chosen based on Spearman correlation analysis. Autocorrelation, seasonality and long-term trend were controlled in the model. A best model was selected and validated using Generalized Cross Validation (GCV) score and residual test. The data from March 2006 to December 2012 were used to develop the model while the data from January 2013 to September 2014 were employed to validate the model. Time series Poisson model showed that imported cases in the previous month, minimum temperature in the previous month and accumulative precipitation with three month lags could project the dengue outbreaks occurred in 2013 and 2014 after controlling the autocorrelation, seasonality and long-term trend. Conclusions Together with the sole transmission vector Aedes albopictus, imported cases, monthly minimum temperature and monthly accumulative precipitation may be used to develop a low-cost effective early warning system. PMID:26020627

  19. Community Wise: Paving the Way for Empowerment in Community Reentry

    PubMed Central

    Windsor, Liliane Cambraia; Jemal, Alexis; Benoit, Ellen

    2014-01-01

    Theoretical approaches traditionally applied in mental health and criminal justice interventions fail to address the historical and structural context that partially explains health disparities. Community Wise was developed to address this gap. It is a 12 week group intervention informed by Critical Consciousness Theory and designed to prevent substance abuse, related health risk behaviors, psychological distress, and reoffending among individuals with a history of incarceration and substance abuse. This paper reports findings from the first implementation and pilot evaluation of Community Wise in two community-based organizations. This pre-posttest evaluation pilot-tested Community Wise and used findings to improve the intervention. Twenty-six participants completed a phone and clinical screening, baseline, 6- and 12-week follow-ups, and a focus group at the end of the intervention. Measures assessed participants’ demographic information, psychological distress, substance use, criminal offending, HIV risk behaviors, community cohesion, community support, civic engagement, critical consciousness, ethnic identification, group cohesion, client satisfaction, and acquired treatment skills. Research methods were found to be feasible and useful in assessing the intervention. Results indicated that while Community Wise is a promising intervention, several changes need to be made in order to enhance the intervention. Community Wise is a new approach where oppressed individuals join in critical dialogue, tap into existing community resources, and devise, implement and evaluate their own community solutions to structural barriers. PMID:24630737

  20. Group-wise FMRI Activation Detection on DICCCOL Landmarks

    PubMed Central

    Lv, Jinglei; Guo, Lei; Zhu, Dajiang; Zhang, Tuo; Hu, Xintao; Han, Junwei; Liu, Tianming

    2014-01-01

    Group-wise activation detection in task-based fMRI has been widely used because of its robustness to noises and its capacity to deal with variability of individual brains. However, current group-wise fMRI activation detection methods typically rely on the co-registration of individual brains’ fMRI images, which has difficulty in dealing with the remarkable anatomic variation of different brains. As a consequence, the resulted misalignments could significantly degrade the required inter-subject correspondences, thus substantially reducing the sensitivity and specificity of group-wise fMRI activation detection. To deal with these challenges, this paper presents a novel approach to detecting group-wise fMRI activation on our recently developed and validated Dense Individualized and Common Connectivity-based Cortical Landmarks (DICCCOL). The basic idea here is that the first-level general linear model (GLM) analysis is first performed on the fMRI signal of each corresponding DICCCOL landmark in individual brain’s own space, and then the estimated effect sizes of the same landmark from a group of subjects are statistically assessed with the mixed-effect model at the group level. Finally, the consistently activated DICCCOL landmarks are determined and declared in a group-wise fashion in response to external block-based stimuli. Our experimental results have demonstrated that the proposed approach can detect meaningful activations. PMID:24777386

  1. Community Wise: paving the way for empowerment in community reentry.

    PubMed

    Windsor, Liliane Cambraia; Jemal, Alexis; Benoit, Ellen

    2014-01-01

    Theoretical approaches traditionally applied in mental health and criminal justice interventions fail to address the historical and structural context that partially explains health disparities. Community Wise was developed to address this gap. It is a 12week group intervention informed by Critical Consciousness Theory and designed to prevent substance abuse, related health risk behaviors, psychological distress, and reoffending among individuals with a history of incarceration and substance abuse. This paper reports findings from the first implementation and pilot evaluation of Community Wise in two community-based organizations. This pre-posttest evaluation pilot-tested Community Wise and used findings to improve the intervention. Twenty-six participants completed a phone and clinical screening, baseline, 6- and 12-week follow-ups, and a focus group at the end of the intervention. Measures assessed participants' demographic information, psychological distress, substance use, criminal offending, HIV risk behaviors, community cohesion, community support, civic engagement, critical consciousness, ethnic identification, group cohesion, client satisfaction, and acquired treatment skills. Research methods were found to be feasible and useful in assessing the intervention. Results indicated that while Community Wise is a promising intervention, several changes need to be made in order to enhance the intervention. Community Wise is a new approach where oppressed individuals join in critical dialogue, tap into existing community resources, and devise, implement and evaluate their own community solutions to structural barriers. PMID:24630737

  2. Undergraduate students' conceptions of natural and anthropogenic climate change: A case study approach

    NASA Astrophysics Data System (ADS)

    Trenbath, Thien-Kim Leckie

    This dissertation shows the evolution of five undergraduate students' ideas of natural and anthropogenic climate change throughout a lecture hall course on climate change. This research was informed by conceptual change theory and students' inaccurate ideas of climate change. Subjects represented different levels of climate change understanding at the beginning of the course and were selected based on their scores on a climate change questionnaire. The study was designed to research how students' ideas changed throughout the course and compare trajectories of lower and higher achieving students. At the beginning, students had different levels of understanding, but as the semester continued, the lower-performing students progressed more than the higher-performing students. At the end of the course, all students described more ideas than they did at the beginning; however some of these ideas were inconsistent with the professors' instruction. Lower-performing students struggled more than the higher-performing students. Struggles included differentiating climate change and its causes, effects, and consequences from other environmental problems. Students also struggled with the idea that climate change is anthropogenic despite it being natural in the past. In order to understand that climate change is impacted by human forcings in addition to natural forcings, students developed the relationship that climate change is natural and humans are "speeding it up." They took time to integrate this relationship into their prior ideas. Three of the students constructed a definition of climate change that was different than the professor's. Two students defined "climate change" as only the natural aspects of climate change and reserved the anthropogenic changes for the term "global warming". For a third student, "climate change" included damming rivers, eutrophication, frog mutations, ozone depletion, and overfishing, which are environmental ailments but not climate change.

  3. Accounting for health in climate change policies: a case study of Fiji

    PubMed Central

    Morrow, Georgina; Bowen, Kathryn

    2014-01-01

    Background Climate change is expected to affect the health of most populations in the coming decades, having the greatest impact on the poorest and most disadvantaged people in the world. The Pacific islands, including Fiji, are particularly vulnerable to the effects of climate change. Objective The three major health impacts of climate change in Fiji explored in this study were dengue fever, diarrhoeal disease, and malnutrition, as they each pose a significant threat to human health. The aim of this study was to investigate to what extent the Fiji National Climate Change Policy, and a selection of relevant sectoral policies, account for these human health effects of climate change. Design The study employed a three-pronged policy analysis to evaluate: 1) the content of the Fijian National Climate Change Policy and to what extent health was incorporated within this; 2) the context within which the policy was developed; 3) the relevant processes; and 4) the actors involved. A selection of relevant sectoral policies were also analysed to assess the extent to which these included climate change and health considerations. Results The policy analysis showed that these three health impacts of climate change were only considered to a minor extent, and often indirectly, in both the Fiji National Climate Change Policy and the corresponding National Climate Change Adaptation Strategy, as well as the Public Health Act. Furthermore, supporting documents in relevant sectors including water and agriculture made no mention of climate change and health impacts. Conclusions The projected health impacts of climate change should be considered as part of reviewing the Fiji National Climate Change Policy and National Climate Change Adaptation Strategy, and the Public Health Act. In the interest of public health, this should include strategies for combating dengue fever, malnutrition, and water-borne disease. Related sectoral policies in water and agriculture should also be revised to

  4. Does Integration Help Adapt to Climate Change? Case of Increased US Corn Yield Volatility

    NASA Astrophysics Data System (ADS)

    Verma, M.; Diffenbaugh, N. S.; Hertel, T. W.

    2012-12-01

    and reduces its demand. In the presence of domestic integration, ethanol production rises to substitute oil in the gasoline blend and thereby increases the corn demand and prices. However if one takes into account increase in corn price due to increased production costs (increase in oil price increases fertilizer prices - a major input into corn production) and reduced corn prices due to reduced fuel demand and therefore reduced ethanol additive demand; the prices can go either way. Our initial simulations show that they do in fact go down with mandate driven integration. This raises some more general questions: Whether integration (intersectoral and international) can be an effective strategy for adapting to climate change? And which of the four adaptation options - RFS or oil price driven domestic integration, full corn tariff liberalization or restricting tariff manipulation by partners - would be more effective in comparison to other adaptation (including no adaptation) scenarios? We implement the alternative adaptation strategies, while sampling from the same corn yield and oil price distributions and compare the resulting corn price variations to the base case where no such adaptation has been undertaken. Our initial results suggest that intersectoral integration is more effective form of adaptation than international one, but only if driven by market forces and not mandates.

  5. Chord-wise Tip Actuation on Flexible Flapping Plates

    NASA Astrophysics Data System (ADS)

    Martin, Nathan; Gharib, Morteza

    2015-11-01

    The aerodynamic characteristics of low aspect ratio flapping plates are strongly influenced by the interaction between tip and edge vortices. This has led to the development of tip actuation mechanisms which bend the tip towards the root of the plate in the span-wise direction during oscillation to investigate its impact. In our current work, a tip actuation mechanism to bend a flat plate's two free corners towards one another in the chord-wise direction is developed using a shape memory alloy. The aerodynamic forces and resulting flow field are investigated from dynamically altering the tip chord-wise curvature while flapping. The frequency of oscillation, stroke angle, flexibility, and tip actuation timing are independently varied to determine their individual effects. These results will further the fundamental understanding of flapping wing aerodynamics. This material is based upon work supported by the National Science Foundation Graduate Research Fellowship under Grant No. DGE 1144469.

  6. Porting Big Data technology across domains. WISE for MUSE

    NASA Astrophysics Data System (ADS)

    Vriend, Willem-Jan

    2015-12-01

    Due to the nature of MUSE data, each data-cube obtained as part of the GTO program is used by most of the consortium institutes which are spread across Europe. Since the effort required in reducing the data is significant, and to ensure uniformity in analysis, it is desirable to have a data management system that integrates data reduction, provenance tracking, quality control and data analysis. Such a system should support the distribution of storage and processing over the consortium institutes. The MUSE-WISE system incorporates these aspects. It is built on the Astro-WISE system, originally designed to handle OmegaCAM imaging data, which has been extended to support 3D spectroscopic data. MUSE-WISE is now being used to process MUSE GTO data. It currently stores 95 TB consisting of 48k raw exposures and processed data used by 79 users spread over 7 nodes in Europe.

  7. The Porcupine Survey: A Distributed Survey and WISE Followup

    NASA Astrophysics Data System (ADS)

    Wright, Edward L.; Eisenhardt, P. R. M.; Mainzer, A. K.; Kirkpatrick, J. D.; Cohen, M.

    2007-10-01

    Spitzer post-cryogen observations to perform a moderate depth survey distributed around the sky are proposed. Field centers are chosen to be WISE brown dwarf candidates, which will typically be 160 μJy at 4.7 μm and randomly distributed around the sky. The Spitzer observations will give much higher sensitivity, higher angular resolution, and a time baseline to measure both proper motions and possibly parallaxes. The distance and velocity data obtained on the WISE brown dwarf candidates will greatly improve our knowledge of the mass and age distribution of brown dwarfs. The outer parts of the Spitzer fields surrounding the WISE positions will provide a deep survey in many narrow fields of view distributed around the sky, and the volume of this survey will contain many more distant brown dwarfs, and many extragalactic objects.

  8. THE SPITZER-WISE SURVEY OF THE ECLIPTIC POLES

    SciTech Connect

    Jarrett, T. H.; Masci, F.; Cutri, R. M.; Marsh, K.; Padgett, D.; Tsai, C. W.; Cohen, M.; Wright, E.; Petty, S.; Stern, D.; Eisenhardt, P.; Mainzer, A.; Ressler, M.; Benford, D.; Blain, A.; Carey, S.; Surace, J.; Lonsdale, C.; Skrutskie, M.; Stanford, S.

    2011-07-10

    We have carried out a survey of the north and south ecliptic poles, EP-N and EP-S, respectively, with the Spitzer Space Telescope and the Wide-field Infrared Survey Explorer (WISE). The primary objective was to cross-calibrate WISE with the Spitzer and Midcourse Space Experiment (MSX) photometric systems by developing a set of calibration stars that are common to these infrared missions. The ecliptic poles were continuous viewing zones for WISE due to its polar-crossing orbit, making these areas ideal for both absolute and internal calibrations. The Spitzer IRAC and MIPS imaging survey covers a complete area of 0.40 deg{sup 2} for the EP-N and 1.28 deg{sup 2} for the EP-S. WISE observed the whole sky in four mid-infrared bands, 3.4, 4.6, 12, and 22 {mu}m, during its eight-month cryogenic mission, including several hundred ecliptic polar passages; here we report on the highest coverage depths achieved by WISE, an area of {approx}1.5 deg{sup 2} for both poles. Located close to the center of the EP-N, the Sy-2 galaxy NGC 6552 conveniently functions as a standard calibrator to measure the red response of the 22 {mu}m channel of WISE. Observations from Spitzer-IRAC/MIPS/IRS-LL and WISE show that the galaxy has a strong red color in the mid-infrared due to star-formation and the presence of an active galactic nucleus (AGN), while over a baseline >1 year the mid-IR photometry of NGC 6552 is shown to vary at a level less than 2%. Combining NGC 6552 with the standard calibrator stars, the achieved photometric accuracy of the WISE calibration, relative to the Spitzer and MSX systems, is 2.4%, 2.8%, 4.5%, and 5.7% for W1 (3.4 {mu}m), W2 (4.6 {mu}m), W3 (12 {mu}m), and W4 (22 {mu}m), respectively. The WISE photometry is internally stable to better than 0.1% over the cryogenic lifetime of the mission. The secondary objective of the Spitzer-WISE Survey was to explore the poles at greater flux-level depths, exploiting the higher angular resolution Spitzer observations and the

  9. Revision of Wise pattern breast reductions with vertical procedures.

    PubMed

    Sultan, Mark R; Schwartz, Jamie A; Smith, Mark L; Samson, William; Dayan, Joseph

    2013-09-01

    A small percentage of patients who undergo Wise pattern mammaplasties request revisions to address recurrent macromastia or poor breast shape. Reuse of the Wise pattern method at times results in disappointing aesthetic results. Recently, in a series of 15 consecutive patients, we used vertical techniques with glandular reshaping to perform these revisions. Advantages include the ability to significantly improve breast shape and to avoid reopening of potentially problematic inframammary scars. No major complications occurred. Patients have been uniformly pleased with the significant improvement in their breast contour, width, and size. In summary, despite the use of the Wise pattern method for the original procedure, consideration should be given to use vertical techniques for revisions in that they are safe and can better address patient goals. Gratifying results can be achieved. PMID:23945532

  10. Climate impacts of short-lived climate forcers versus CO2 from biodiesel: a case of the EU on-road sector.

    PubMed

    Lund, Marianne T; Berntsen, Terje K; Fuglestvedt, Jan S

    2014-12-16

    Biofuels are proposed to play an important role in several mitigation strategies to meet future CO2 emission targets for the transport sector but remain controversial due to significant uncertainties in net impacts on environment, society, and climate. A switch to biofuels can also affect short-lived climate forcers (SLCFs), which provide significant contributions to the net climate impact of transportation. We quantify the radiative forcing (RF) and global-mean temperature response over time to EU on-road fossil diesel SLCFs and the impact of 20% (B20) and 100% (B100) replacement of fossil diesel by biodiesel. SLCFs are compared to impacts of on-road CO2 using different approaches from existing literature to account for biodiesel CO2. Given the best estimates for changes in emissions when replacing fossil diesel with biodiesel, the net positive RF from EU on-road fossil diesel SLCFs of 3.4 mW/m(2) is reduced by 15% and 80% in B20 and B100, respectively. Over time the warming of SLCFs is likely small compared to biodiesel CO2 impacts. However, SLCFs may be relatively more important for the total warming than in the fossil fuel case if biodiesel from feedstock with very short rotation periods and low land-use-change impacts replaces a high fraction of fossil diesel. PMID:25405926

  11. Knowledge-intensive global optimization of Earth observing system architectures: a climate-centric case study

    NASA Astrophysics Data System (ADS)

    Selva, D.

    2014-10-01

    Requirements from the different disciplines of the Earth sciences on satellite missions have become considerably more stringent in the past decade, while budgets in space organizations have not increased to support the implementation of new systems meeting these requirements. At the same time, new technologies such as optical communications, electrical propulsion, nanosatellite technology, and new commercial agents and models such as hosted payloads are now available. The technical and programmatic environment is thus ideal to conduct architectural studies that look with renewed breadth and adequate depth to the myriad of new possible architectures for Earth Observing Systems. Such studies are challenging tasks, since they require formidable amounts of data and expert knowledge in order to be conducted. Indeed, trade-offs between hundreds or thousands of requirements from different disciplines need to be considered, and millions of combinations of instrument technologies and orbits are possible. This paper presents a framework and tool to support the exploration of such large architectural tradespaces. The framework can be seen as a model-based, executable science traceability matrix that can be used to compare the relative value of millions of different possible architectures. It is demonstrated with an operational climate-centric case study. Ultimately, this framework can be used to assess opportunities for international collaboration and look at architectures for a global Earth observing system, including space, air, and ground assets.

  12. Avoiding the Unfavorable Outcome with Wise Pattern Breast Reduction.

    PubMed

    Hansen, Juliana E

    2016-04-01

    Wise pattern breast reduction remains the most popular method of performing moderate- to large-sized breast reductions in the United States. Shape distortion after breast reduction can be a result of design flaw, execution of technique, or the result of postoperative complications. This article focuses primarily on optimal design and intraoperative techniques for prevention of shape distortion. By carefully considering the design of the skin resection pattern, choosing and designing an appropriate pedicle, preventing skin necrosis, and managing scars, shape distortion after Wise pattern breast reduction can be minimized. PMID:27012793

  13. WISE 3.4 micron Detection of PTF10acbp

    NASA Astrophysics Data System (ADS)

    Cutri, R. M.; Hoffman, D.; Masci, F.; Conrow, T.; Kasliwal, M. M.; Helou, G.; Ofek, E. O.; Kulkarni, S. R.; Surace, J.

    2011-01-01

    The Wide-field Infrared Survey Explorer (WISE; Wright et al. 2010 AJ 140, 1868) scanned the position of PTF10acbp (ATEL #3094), the luminous red nova in the spiral galaxy UGC 11973, 23 times between 2010 June 17 and June 23, and again 30 times between 2010 December 12 and December 16, just five days after the transient's discovery. The June observations were made during the WISE cryogenic survey yielding images at 3.4, 4.6, 12 and 22 microns.

  14. Are You Choosing Wisely in Your Professional Practice?

    PubMed

    Fessele, Kristen L

    2016-04-01

    To enhance the value of care provided to Americans, the American Board of Internal Medicine and Consumer Reports launched the Choosing Wisely® initiative in 2012. Choosing Wisely educates providers and patients about high-frequency, low-value care practices that can be avoided to decrease cost and increase the value of health care. The Oncology Nursing Society collaborated with the American Academy of Nursing to add the first-ever nursing-focused list to those previously submitted by more than 70 specialty societies.
. PMID:26991717

  15. Assessing the geomorphological sensitivity of cold climate mountains to climate-driven permafrost degradation: the case of the Russian Altai Mountains

    NASA Astrophysics Data System (ADS)

    Hendrickx, Hanne; Nyssen, Jan; Sannel, Britta; Goossens, Rudi; Lehmkuhl, Frank; Babin, Valery; Bourgeois, Jean; Lanckriet, Sil; Frankl, Amaury

    2016-04-01

    In cold regions, climate change related permafrost thawing is causing geomorphic processes to intensify. This is especially the case in mountain regions, where several studies indicate increased geomorphic activity with the recent thawing of permafrost bodies. In addition to the effect on geomorphic processes, permafrost degradation also results in increased CO2 and CH4 emissions. This causes a positive feedback mechanism on climate change processes. For both the intensity of geomorphic processes and rate of greenhouse gas (GHG) emissions, little information exists for mountain areas in the permafrost belt worldwide. The Russian Altai Mountains are marginally glaciated and house sporadic and discontinuous permafrost. Due to global warming, temperature and precipitation are changing rapidly in the area, at rates higher than the global average. This result in highly dynamic environmental processes, making the Altai Mountains a potential area to understand the interrelations between geomorphology and permafrost, as influenced by climate change. Due to its marginal nature, permafrost degradation is rapid in the Russian Altai Mountains, and related geomorphological processes (e.g. landslides) are therefore accelerating. Therefore, a geomorphological time-depth analysis will be done focusing on geomorphic permafrost indicators such as rock glaciers, solifluction, permafrost creep, polygon patterned ground, palsas and thermokarst. Mapping the present day situation will be based on fieldwork, existing maps, satellite imagery and ASTER Digital Elevation Models. A specific geomorphological map representing the (peri)glacial geomorphology of the 1960s based on CORONA images will be prepared. In addition, 3D-photomodelling of rock glaciers and solifluction lobes will reveal short-term geomorphic dynamics. To understand the permafrost dynamics (1960s-2100) of the area, a statistical-empirical permafrost model will be used, using topo-climatic factors and temperature data from

  16. Adaptation to climate through flowering phenology: a case study in Medicago truncatula.

    PubMed

    Burgarella, Concetta; Chantret, Nathalie; Gay, Laurène; Prosperi, Jean-Marie; Bonhomme, Maxime; Tiffin, Peter; Young, Nevin D; Ronfort, Joelle

    2016-07-01

    Local climatic conditions likely constitute an important selective pressure on genes underlying important fitness-related traits such as flowering time, and in many species, flowering phenology and climatic gradients strongly covary. To test whether climate shapes the genetic variation on flowering time genes and to identify candidate flowering genes involved in the adaptation to environmental heterogeneity, we used a large Medicago truncatula core collection to examine the association between nucleotide polymorphisms at 224 candidate genes and both climate variables and flowering phenotypes. Unlike genome-wide studies, candidate gene approaches are expected to enrich for the number of meaningful trait associations because they specifically target genes that are known to affect the trait of interest. We found that flowering time mediates adaptation to climatic conditions mainly by variation at genes located upstream in the flowering pathways, close to the environmental stimuli. Variables related to the annual precipitation regime reflected selective constraints on flowering time genes better than the other variables tested (temperature, altitude, latitude or longitude). By comparing phenotype and climate associations, we identified 12 flowering genes as the most promising candidates responsible for phenological adaptation to climate. Four of these genes were located in the known flowering time QTL region on chromosome 7. However, climate and flowering associations also highlighted largely distinct gene sets, suggesting different genetic architectures for adaptation to climate and flowering onset. PMID:27144929

  17. Hydrologic climate change: are the existing dams still safe? The Flumendosa case study in Sardinia

    NASA Astrophysics Data System (ADS)

    Maccioni, G.; Montaldo, N.; Saba, A.

    2009-04-01

    The problem of the hydraulic safety of existing dams is becoming crucial due to the recent increase of floods. In Sardinia dams were built for both electric production and water supply for irrigation and civil uses during the 1920-1960 period. Recent floods showed a significant increase in magnitude and frequency, supporting the hypothesis of a hydrologic climate change. Are the existing dams still safe? For answering the question 1) a method for estimating the flood hydrograph with return period of 2000 years also accounting for possible climate change is developed, 2) an hydrologic model is implemented, and 3) the hydraulic safety of existing dams is tested. The case study is the Flumendosa river basin (area of about 1300 km2) located in central-eastern Sardinia (Italy), whose reservoir system (3 dams) is the main water supply of southern Sardinia, including its largest city, Cagliari. The smallest dam is located in the upper part of the basin with a drainage area of about 50 km2. At this dam, during the December 2004 flood an extremely high peak discharge of around 2000 m3/s was observed (total daily rain was of 600 mm). In the basin the soils are generally of modest thickness, the vegetation throughout the basin has been in part altered by human activities, with many areas (before covered by scrubs) converted to pasture. Urbanized areas are a minor component. Rainfall and discharge data of historical floods (from 1940) were acquired so that a fully evaluation of the hydrologic model has been performed. The distributed hydrologic model is an event model (FEST) which assesses runoff through a simplified approach based on Soil Conservation Service equations and runoff propagation through the Muskingum-Cunge approach. The FEST model well simulates historical and recent floods. The results demonstrated that the dams are not safe for the estimated flood with return period of 2000 year, but also demonstrated the extreme uncertainty in the estimate of floods with

  18. Climate and development

    SciTech Connect

    Biswas, A.K.

    1984-01-01

    The authors review the existing knowledge on the inter-relationships between climate and patterns of development; the impact variables on water and agricultural development; and the effects of climate on human health. A case study is also given of the effect of climatic fluctuations on human population in Mesopotamia. Contents: Climate and Development; Climate and Agriculture; Climate and Water Management; Climate and Health; Effects of Climate Fluctation on Human Populations; Study of Mesopotamian Society.

  19. A methodology for risk assessment of municipal infrastructure due to climate change: a case study of London, Ontario

    NASA Astrophysics Data System (ADS)

    Bowering, E.; Peck, A.; Simonovic, S.

    2009-12-01

    climate change scenario. Identifying regions of high risk is important in disaster management and preparedness. These results will be available in municipal policy development and decision making. This methodology is applied as a case study to the City of London, Ontario, Canada.

  20. Climate change adaptation under uncertainty in the developing world: A case study of sea level rise in Kiribati

    NASA Astrophysics Data System (ADS)

    Donner, S. D.; Webber, S.

    2011-12-01

    Climate change is expected to have the greatest impact in parts of the developing world. At the 2010 meeting of U.N. Framework Convention on Climate Change in Cancun, industrialized countries agreed in principle to provide US$100 billion per year by 2020 to assist the developing world respond to climate change. This "Green Climate Fund" is a critical step towards addressing the challenge of climate change. However, the policy and discourse on supporting adaptation in the developing world remains highly idealized. For example, the efficacy of "no regrets" adaptation efforts or "mainstreaming" adaptation into decision-making are rarely evaluated in the real world. In this presentation, I will discuss the gap between adaptation theory and practice using a multi-year case study of the cultural, social and scientific obstacles to adapting to sea level rise in the Pacific atoll nation of Kiribati. Our field research reveals how scientific and institutional uncertainty can limit international efforts to fund adaptation and lead to spiraling costs. Scientific uncertainty about hyper-local impacts of sea level rise, though irreducible, can at times limit decision-making about adaptation measures, contrary to the notion that "good" decision-making practices can incorporate scientific uncertainty. Efforts to improve institutional capacity must be done carefully, or they risk inadvertently slowing the implementation of adaptation measures and increasing the likelihood of "mal"-adaptation.

  1. Modelling the impacts of an invasive species across landscapes: a step-wise approach

    PubMed Central

    Morgan, Fraser

    2014-01-01

    We estimate the extent of ecological impacts of the invasive Asian paper wasp across different landscapes in New Zealand. We used: (i) a baseline distribution layer (modelled via MaxEnt); (ii) Asian paper wasp nest density (from >460 field plots, related to their preferences for specific land cover categories); and (iii) and their foraging intensity (rates of foraging success, and the time available to forage on a seasonal basis). Using geographic information systems this information is combined and modelled across different landscapes in New Zealand in a step-wise selection process. The highest densities of Asian paper wasps were in herbaceous saline vegetation, followed closely by built-up areas, and then scrub and shrubland. Nest densities of 34 per ha, and occupancy rates of 0.27 were recorded for herbaceous saline vegetation habitats. However, the extent of impacts of the Asian paper wasp remains relatively restricted because of narrow climate tolerances and spatial restriction of preferred habitats. A step-wise process based on geographic information systems and species distribution models, in combination with factors such as distribution, density, and predation, create a useful tool that allows the extent of impacts of invasive species to be assessed across large spatial scales. These models will be useful for conservation managers as they provide easy visual interpretation of results, and can help prioritise where direct conservation action or control of the invader are required. PMID:24949248

  2. Towards Better Calibration of Modern Palynological Data against Climate: A Case Study in Osaka Bay, Japan

    NASA Astrophysics Data System (ADS)

    Kitaba, I.; Nakagawa, T.; McClymont, E.; Dettman, D. L.; Yamada, K.; Takemura, K.; Hyodo, M.

    2014-12-01

    Many of the difficulties in the pollen fossil-based paleoclimate reconstruction in coastal regions derive from the complex sedimentary processes of the near-shore environment. In order to examine this problem, we carried out pollen analysis of surface sediments collected from 35 sites in Osaka Bay, Japan. Using the biomisation method, the surrounding vegetation was accurately reconstructed at all sites. Applying the modern analogue technique to the same data, however, led to reconstructed temperatures that were lower by ca. 5 deg. C and precipitation amounts higher by ca. 5000 mm than the current sea level climate of the region. The range of reconstructed values was larger than the reconstruction error associated with the method. The principal component analysis shows that the surface pollen variation in Osaka Bay reflects sedimentary processes. This significant error associated with the quantitative climatic reconstruction using pollen data is attributed to the fact that the pollen assemblage is not determined solely by climate but reflects non-climatic influences. The accuracy and precision of climatic reconstruction can be improved significantly by expanding counts of minor taxa. Given this result, we re-examined the reconstructed climate using Osaka Bay palynological record reported in Kitaba et al. (2013). This new method did not significantly alter the overall variation in the reconstructed climate, and thus we conclude that the reconstruction was generally reliable. However, some intervals were strongly affected by depositional environmental change. In these, a climate signal can be extracted by excluding the patterns that arise from coastal sedimentation.

  3. Does climatic variability influence agricultural land prices under differing uses? The Texas High Plains case

    Technology Transfer Automated Retrieval System (TEKTRAN)

    The Texas High Plains faces projections of increasing temperature and declining precipitation in the future on account of its semi-arid climate. This research evaluated the impact of climatic variability on agricultural land prices under different land uses in the Texas High Plains, employing the Ri...

  4. A Big Data Guide to Understanding Climate Change: The Case for Theory-Guided Data Science

    PubMed Central

    Kumar, Vipin

    2014-01-01

    Abstract Global climate change and its impact on human life has become one of our era's greatest challenges. Despite the urgency, data science has had little impact on furthering our understanding of our planet in spite of the abundance of climate data. This is a stark contrast from other fields such as advertising or electronic commerce where big data has been a great success story. This discrepancy stems from the complex nature of climate data as well as the scientific questions climate science brings forth. This article introduces a data science audience to the challenges and opportunities to mine large climate datasets, with an emphasis on the nuanced difference between mining climate data and traditional big data approaches. We focus on data, methods, and application challenges that must be addressed in order for big data to fulfill their promise with regard to climate science applications. More importantly, we highlight research showing that solely relying on traditional big data techniques results in dubious findings, and we instead propose a theory-guided data science paradigm that uses scientific theory to constrain both the big data techniques as well as the results-interpretation process to extract accurate insight from large climate data. PMID:25276499

  5. Modelling Impacts of Climate Change: Case Studies using the New Generation of Erosion Models

    Technology Transfer Automated Retrieval System (TEKTRAN)

    Climate change is expected to impact upon a number of soil erosion drivers and processes, which should be taken into account when designing a modelling strategy. The fourth assessment report of the Intergovernmental Panel for Climate Change (IPCC) (Parry et al., 2007; Solomon et al., 2007) reviews a...

  6. A Big Data Guide to Understanding Climate Change: The Case for Theory-Guided Data Science.

    PubMed

    Faghmous, James H; Kumar, Vipin

    2014-09-01

    Global climate change and its impact on human life has become one of our era's greatest challenges. Despite the urgency, data science has had little impact on furthering our understanding of our planet in spite of the abundance of climate data. This is a stark contrast from other fields such as advertising or electronic commerce where big data has been a great success story. This discrepancy stems from the complex nature of climate data as well as the scientific questions climate science brings forth. This article introduces a data science audience to the challenges and opportunities to mine large climate datasets, with an emphasis on the nuanced difference between mining climate data and traditional big data approaches. We focus on data, methods, and application challenges that must be addressed in order for big data to fulfill their promise with regard to climate science applications. More importantly, we highlight research showing that solely relying on traditional big data techniques results in dubious findings, and we instead propose a theory-guided data science paradigm that uses scientific theory to constrain both the big data techniques as well as the results-interpretation process to extract accurate insight from large climate data. PMID:25276499

  7. Climate change and biofuel wheat: A case study of Southern Saskatchewan

    Technology Transfer Automated Retrieval System (TEKTRAN)

    This study assessed potential impacts of climate change on wheat production as a biofuel crop in southern Saskatchewan, Canada. The Decision Support System for Agrotechnology Transfer-Cropping System Model (DSSAT-CSM) was used to simulate biomass and grain yield under three climate change scenarios ...

  8. Is rainfall erosivity influenced by climate change?. A case study in a Mediterranean Climate area of North East Spain

    NASA Astrophysics Data System (ADS)

    Ramos, Maria C.

    2014-05-01

    One of the main characteristics of the Mediterranean climate is the high intensity rainfall events usually recorded in autumn and spring. Those events usually concentrate a high percentage of annual rainfall. Different studies carried out in the Mediterranean countries suggest that notable changes in seasonal precipitation regimes have occurred during the second half of the 20th century. In addition, precipitation extremes seem to increase in association with global warming, which may favour erosion processes. Under this hypothesis one question arise: is the rainfall erosivity increasing influenced by climate change? In this work rainfall erosivity and its variability in the last two decades was analysed in an area located NE Spain, where erosion processes of high magnitude are recorded. The main land use in that area is grape vines, which due to the scarce soil cover is usually associated with the highest erosion rates. The study area was located in the Penedès depression (North East Spain). Hourly data from four observatories Els Hostalets de Pierola (UTM X: 400664, Y: 4598608m, elv: 326m ), La Granada ( X:393758; Y:4580393), Sant Martí Sarroca (X: 385556; Y:4581486, elv: 257m) and Font_Rubi (X: 385118, Y:4587935. elev: 415 m ) belonging to the period 1997-2013 were used in the analysis together with a tipping bucket rainfall series recorded at one minute intervals (10 years within the period 1996-2012). Rainfall erosivity was quantified by the index rainfall kinetic energy multiplied by the maximum intensity in 30minute periods (E*Imax30). The Imax30 was estimated from the relationship between hourly and 30 minute data obtained for the tipping bucket series using the Marquard algoritme. In order to analsye changes in rainfall erosivity, the annual and monthly number of erosive events were analysed for each observatory and in each year, the events were classified into intervals according to their erosivity. The intervals used were: 0-100; 100-200; 200-300; 300

  9. Street Wise Part 2: Educating Children for Safe Bicycling

    ERIC Educational Resources Information Center

    Crider, Linda B.; Hall, Amanda K.

    2006-01-01

    This part of the "Street Wise" series incorporates essential bicycle safety skills into a one week bike unit, designed for 3rd through 6th graders. These skills require much repetition and practice but can help children develop safe traffic behaviors that save lives, such as stopping, scanning, signaling, street crossing, and avoiding hazards.…

  10. Discovering Pair-wise Synergies in Microarray Data

    PubMed Central

    Chen, Yuan; Cao, Dan; Gao, Jun; Yuan, Zheming

    2016-01-01

    Informative gene selection can have important implications for the improvement of cancer diagnosis and the identification of new drug targets. Individual-gene-ranking methods ignore interactions between genes. Furthermore, popular pair-wise gene evaluation methods, e.g. TSP and TSG, are helpless for discovering pair-wise interactions. Several efforts to discover pair-wise synergy have been made based on the information approach, such as EMBP and FeatKNN. However, the methods which are employed to estimate mutual information, e.g. binarization, histogram-based and KNN estimators, depend on known data or domain characteristics. Recently, Reshef et al. proposed a novel maximal information coefficient (MIC) measure to capture a wide range of associations between two variables that has the property of generality. An extension from MIC(X; Y) to MIC(X1; X2; Y) is therefore desired. We developed an approximation algorithm for estimating MIC(X1; X2; Y) where Y is a discrete variable. MIC(X1; X2; Y) is employed to detect pair-wise synergy in simulation and cancer microarray data. The results indicate that MIC(X1; X2; Y) also has the property of generality. It can discover synergic genes that are undetectable by reference feature selection methods such as MIC(X; Y) and TSG. Synergic genes can distinguish different phenotypes. Finally, the biological relevance of these synergic genes is validated with GO annotation and OUgene database. PMID:27470995

  11. Discovering Pair-wise Synergies in Microarray Data.

    PubMed

    Chen, Yuan; Cao, Dan; Gao, Jun; Yuan, Zheming

    2016-01-01

    Informative gene selection can have important implications for the improvement of cancer diagnosis and the identification of new drug targets. Individual-gene-ranking methods ignore interactions between genes. Furthermore, popular pair-wise gene evaluation methods, e.g. TSP and TSG, are helpless for discovering pair-wise interactions. Several efforts to discover pair-wise synergy have been made based on the information approach, such as EMBP and FeatKNN. However, the methods which are employed to estimate mutual information, e.g. binarization, histogram-based and KNN estimators, depend on known data or domain characteristics. Recently, Reshef et al. proposed a novel maximal information coefficient (MIC) measure to capture a wide range of associations between two variables that has the property of generality. An extension from MIC(X; Y) to MIC(X1; X2; Y) is therefore desired. We developed an approximation algorithm for estimating MIC(X1; X2; Y) where Y is a discrete variable. MIC(X1; X2; Y) is employed to detect pair-wise synergy in simulation and cancer microarray data. The results indicate that MIC(X1; X2; Y) also has the property of generality. It can discover synergic genes that are undetectable by reference feature selection methods such as MIC(X; Y) and TSG. Synergic genes can distinguish different phenotypes. Finally, the biological relevance of these synergic genes is validated with GO annotation and OUgene database. PMID:27470995

  12. Investigation of Test-Wiseness among C. L. U. Candidates.

    ERIC Educational Resources Information Center

    Woodley, Katheryn K.

    An attempt to help college students who felt that they understood the subject matter but couldn't pass the tests was made. For purposes of this study, test-wiseness (TW) is defined as a cognitive factor, one which is measurable and subject to change either through specific test experience or training in a test-taking strategy. The specific purpose…

  13. Australian Waste Wise Schools Program: Its Past, Present, and Future

    ERIC Educational Resources Information Center

    Cutter-Mackenzie, Amy

    2010-01-01

    The Waste Wise Schools program has a longstanding history in Australia. It is an action-based program that encourages schools to move toward zero waste through their curriculum and operating practices. This article provides a review of the program, finding that it has had notable success in reducing schools' waste through a "reduce, reuse, and…

  14. R-WISE: A Learning Environment for Teaching Reading Comprehension.

    ERIC Educational Resources Information Center

    Carlson, Patricia A.; Larralde, Veronica

    1995-01-01

    R-WISE (Reading and Writing in a Supportive Environment), a computerized package for teaching critical literacy, is described, focusing on its use in developing reading comprehension. The program eases demands on short-term memory, highlights strategically important aspects of comprehending text, guides internalization and self-initiation of…

  15. Dusty WDs in the WISE all sky survey ∩ SDSS

    SciTech Connect

    Barber, Sara D.; Kilic, Mukremin; Gianninas, A.; Brown, Warren R.

    2014-05-10

    A recent cross-correlation between the Sloan Digital Sky Survey (SDSS) Data Release 7 White Dwarf Catalog with the Wide-Field Infrared Survey Explorer (WISE) all-sky photometry at 3.4, 4.6, 12, and 22 μm performed by Debes et al. resulted in the discovery of 52 candidate dusty white dwarfs (WDs). However, the 6'' WISE beam allows for the possibility that many of the excesses exhibited by these WDs may be due to contamination from a nearby source. We present MMT+SAO Wide-Field InfraRed Camera J- and H-band imaging observations (0.''5-1.''5 point spread function) of 16 of these candidate dusty WDs and confirm that four have spectral energy distributions (SEDs) consistent with a dusty disk and are not accompanied by a nearby source contaminant. The remaining 12 WDs have contaminated WISE photometry and SEDs inconsistent with a dusty disk when the contaminating sources are not included in the photometry measurements. We find the frequency of disks around single WDs in the WISE ∩ SDSS sample to be 2.6%-4.1%. One of the four new dusty WDs has a mass of 1.04 M {sub ☉} (progenitor mass 5.4 M {sub ☉}) and its discovery offers the first confirmation that massive WDs (and their massive progenitor stars) host planetary systems.

  16. A Route to Well-being: Intelligence vs. Wise Reasoning

    PubMed Central

    Grossmann, Igor; Na, Jinkyung; Varnum, Michael E.W.; Kitayama, Shinobu; Nisbett, Richard E.

    2012-01-01

    Laypeople and many social scientists assume that superior reasoning abilities lead to greater well-being. However, previous research has been inconclusive. This may be because prior investigators used operationalizations of reasoning that favored analytic as opposed to wise thinking. We assessed wisdom in terms of the degree to which people use various pragmatic schemas to deal with social conflicts. With a random sample of Americans we found that wise reasoning is associated with greater life satisfaction, less negative affect, better social relationships, less depressive rumination, more positive vs. negative words used in speech, and greater longevity. The relationship between wise reasoning and well-being held even when controlling for socio-economic factors, verbal abilities, and several personality traits. As in prior work there was no association between intelligence and well-being. Further, wise reasoning mediated age-related differences in well-being, particularly among the middle-aged and older adults. Implications for research on reasoning, well-being and aging are discussed. PMID:22866683

  17. Finding the Faintest Exozodi and Asteroid Belt Analogs in WISE

    NASA Astrophysics Data System (ADS)

    Patel, Rahul; Metchev, S.; Heinze, A.

    2014-01-01

    The presence of circumstellar dust in the terrestrial planet zone and asteroid belt regions of stars can be ascertained from the excess flux from main sequence stars in the near to mid-infrared wavelengths. Finding dust in these regions around stars is significant as it traces material related to terrestrial planet formation. In this study, we use the WISE All-Sky Survey data to detect circumstellar debris disks at the 12 and 22 μm bandpasses (W3 and W4, respectively). We present the detection of a sample of over 220 exozodi and asteroid belt analog candidates, 74% of which are brand new detections all at confidence levels >95%. This was done by cross-matching Hipparcos main-sequence stars with the WISE All-Sky Data Release for stars within 75 pc and outside the galactic plane (|b|>5°) and then seeking color excesses at W3 and W4. In addition to applying the standard WISE photometric flags and filters to remove contaminants from our sample, we also improved our selection techniques by correcting for previously unknown systematic behavior in the WISE photometry. Our debris disk candidates are reliable detections as well as unprecedentedly faint, due in large part to these improved selection techniques.

  18. Group-wise consistent cortical parcellation based on connectional profiles.

    PubMed

    Zhang, Tuo; Zhu, Dajiang; Jiang, Xi; Zhang, Shu; Kou, Zhifeng; Guo, Lei; Liu, Tianming

    2016-08-01

    For decades, seeking common, consistent and corresponding anatomical/functional regions across individual brains via cortical parcellation has been a longstanding challenging problem. In our opinion, two major barriers to solve this problem are determining meaningful cortical boundaries that segregate homogeneous regions and establishing correspondences among parcellated regions of multiple brains. To establish a corresponding system across subjects, we recently developed the Dense Individualized and Common Connectivity-based Cortical Landmarks (DICCCOL) system which possesses group-wise consistent white matter fiber connection patterns across individuals and thus provides a dense map of corresponding cortical landmarks. Despite this useful property, however, the DICCCOL landmarks are still far from covering the whole cerebral cortex and do not provide clear structural/functional cortical boundaries. To address the above limitation while leveraging the advantage of DICCCOL, in this paper, we present a novel approach for group-wise consistent parcellation of the cerebral cortex via a hierarchical scheme. In each hierarchical level, DICCCOLs are used as corresponding samples to automatically determine the cluster number so that other cortical surface vertices are iteratively classified into corresponding clusters across subjects within a group-wise classification framework. Experimental results showed that this approach can achieve consistent fine-granularity cortical parcellation with intrinsically-established structural correspondences across individual brains. Besides, comparisons with resting-state and task-based fMRI datasets demonstrated that the group-wise parcellation boundaries segregate functionally homogeneous areas. PMID:27054276

  19. Climate change impacts on mass movements--case studies from the European Alps.

    PubMed

    Stoffel, M; Tiranti, D; Huggel, C

    2014-09-15

    This paper addresses the current knowledge on climate change impacts on mass movement activity in mountain environments by illustrating characteristic cases of debris flows, rock slope failures and landslides from the French, Italian, and Swiss Alps. It is expected that events are likely to occur less frequently during summer, whereas the anticipated increase of rainfall in spring and fall could likely alter debris-flow activity during the shoulder seasons (March, April, November, and December). The magnitude of debris flows could become larger due to larger amounts of sediment delivered to the channels and as a result of the predicted increase in heavy precipitation events. At the same time, however, debris-flow volumes in high-mountain areas will depend chiefly on the stability and/or movement rates of permafrost bodies, and destabilized rock glaciers could lead to debris flows without historic precedents in the future. The frequency of rock slope failures is likely to increase, as excessively warm air temperatures, glacier shrinkage, as well as permafrost warming and thawing will affect and reduce rock slope stability in the direction that adversely affects rock slope stability. Changes in landslide activity in the French and Western Italian Alps will likely depend on differences in elevation. Above 1500 m asl, the projected decrease in snow season duration in future winters and springs will likely affect the frequency, number and seasonality of landslide reactivations. In Piemonte, for instance, 21st century landslides have been demonstrated to occur more frequently in early spring and to be triggered by moderate rainfalls, but also to occur in smaller numbers. On the contrary, and in line with recent observations, events in autumn, characterized by a large spatial density of landslide occurrences might become more scarce in the Piemonte region. PMID:24630951

  20. Farm level adaptation to climate change: the case of farmer's in the Ethiopian highlands.

    PubMed

    Gebrehiwot, Tagel; van der Veen, Anne

    2013-07-01

    In Ethiopia, climate change and associated risks are expected to have serious consequences for agriculture and food security. This in turn will seriously impact on the welfare of the people, particularly the rural farmers whose main livelihood depends on rain-fed agriculture. The level of impacts will mainly depend on the awareness and the level of adaptation in response to the changing climate. It is thus important to understand the role of the different factors that influence farmers' adaptation to ensure the development of appropriate policy measures and the design of successful development projects. This study examines farmers' perception of change in climatic attributes and the factors that influence farmers' choice of adaptation measures to climate change and variability. The estimated results from the climate change adaptation models indicate that level of education, age and wealth of the head of the household; access to credit and agricultural services; information on climate, and temperature all influence farmers' choices of adaptation. Moreover, lack of information on adaptation measures and lack of finance are seen as the main factors inhibiting adaptation to climate change. These conclusions were obtained with a Multinomial logit model, employing the results from a survey of 400 smallholder farmers in three districts in Tigray, northern Ethiopian. PMID:23728486

  1. How do the media affect public perception of climate change and geohazards? An Italian case study

    NASA Astrophysics Data System (ADS)

    Pasquaré, Federico A.; Oppizzi, Paolo

    2012-06-01

    This paper uses a combination of a qualitative approach and a quantitative, software-based approach to explore the Italian print media construction of climate change and geohazards between 2007 and 2010. We have broken down our analysis in two sections: the first one deals with the coverage of climate change; the second one focuses on the media representation of hydrogeological hazards and extreme events in Italy. Our software-based, qualitative and quantitative analysis of 1253 storylines from two major Italian broadsheets (the La Repubblica and the Corriere della Sera) has enabled us to assess the presence of typical journalistic frames such as conflict and dramatization, as well as newly-introduced ones such as "prevention vs damages", and "weather vs climate". Our results show that the two newspapers appear to have different "agendas" that might have different impacts on their own readerships: the La Repubblica has been on the forefront of forging a broad public consensus on the need for actions aimed at tackling climate change, whereas the Corriere della Sera has gradually built a journalistic agenda aimed at minimizing the urgency of the climate change problem. As regards the media's representation of hydrogeological hazards, we have confirmed what assessed by previous research, i.e. that Italian journalists still prefer to focus on damages rather than prevention; on a better note, the tendency of the Italian press to confuse weather with climate, blaming climate change for extreme rainfalls causing landslides and floods, has decreased in the last four years.

  2. Farm Level Adaptation to Climate Change: The Case of Farmer's in the Ethiopian Highlands

    NASA Astrophysics Data System (ADS)

    Gebrehiwot, Tagel; van der Veen, Anne

    2013-07-01

    In Ethiopia, climate change and associated risks are expected to have serious consequences for agriculture and food security. This in turn will seriously impact on the welfare of the people, particularly the rural farmers whose main livelihood depends on rain-fed agriculture. The level of impacts will mainly depend on the awareness and the level of adaptation in response to the changing climate. It is thus important to understand the role of the different factors that influence farmers' adaptation to ensure the development of appropriate policy measures and the design of successful development projects. This study examines farmers' perception of change in climatic attributes and the factors that influence farmers' choice of adaptation measures to climate change and variability. The estimated results from the climate change adaptation models indicate that level of education, age and wealth of the head of the household; access to credit and agricultural services; information on climate, and temperature all influence farmers' choices of adaptation. Moreover, lack of information on adaptation measures and lack of finance are seen as the main factors inhibiting adaptation to climate change. These conclusions were obtained with a Multinomial logit model, employing the results from a survey of 400 smallholder farmers in three districts in Tigray, northern Ethiopian.

  3. American cutaneous leishmaniasis cases in the metropolitan region of Manaus, Brazil: association with climate variables over time.

    PubMed

    Ferreira de Souza, Rodrigo Augusto; Andreoli, Rita Valéria; Toshie Kayano, Mary; Lima Carvalho, Afrânio

    2015-01-01

    A temporal series of the normalized difference vegetation index (NDVI) and other environmental parameters covering the years 2002- 2009 was used for the study of the potential association between the climate and the number of cases of American cutaneous leishmaniasis (CL) in Manaus Metropolitan Region (MMR), State of Amazonas, Brazil. The results show that CL has a marked seasonality and a strong linkage with local climate conditions. Dry and warm conditions favor the vector, while the maximum number of CL cases occurs during the following wet season. This has a clear relation to the El Niño/La Niña Southern Oscillation (ENSO) and the results presented here show that uncharacteristic dry conditions in the MMR follow El Niño after a lag period of 3 months, while wet conditions follow La Niña, again after a lag period of 3 months. El Niño brings dry conditions with warming of the land surface leading to increased growth of trees and bushes as indicated by rising NDVI values, eventually producing increased numbers of CL cases, with a peak of new cases occurring 4 to 5 months later. La Niña, on the other hand, produces wet and cool weather, which is less favorable for the leishmaniasis vector and therefore results in comparatively lower number of CL cases. Since these seasonal climate changes affect the dynamics of the CL vector, and thus the number of CL cases, a close watch of the ENSO phenomenon and the weather type it brings should be useful for monitoring and control of CL in the MMR. PMID:26054516

  4. Infrared Astronomy Professional Development for K-12 Educators: WISE Telescope

    NASA Astrophysics Data System (ADS)

    Borders, Kareen; Mendez, B. M.

    2010-01-01

    K-12 educators need effective and relevant astronomy professional development. WISE Telescope (Wide-Field Infrared Survey Explorer) and Spitzer Space Telescope Education programs provided an immersive teacher professional development workshop at Arecibo Observatory in Puerto Rico during the summer of 2009. As many common misconceptions involve scale and distance, teachers worked with Moon/Earth scale, solar system scale, and distance of objects in the universe. Teachers built and used basic telescopes, learned about the history of telescopes, explored ground and satellite based telescopes, and explored and worked on models of WISE Telescope. An in-depth explanation of WISE and Spitzer telescopes gave participants background knowledge for infrared astronomy observations. We taught the electromagnetic spectrum through interactive stations. The stations included an overview via lecture and power point, the use of ultraviolet beads to determine ultraviolet exposure, the study of WISE lenticulars and diagramming of infrared data, listening to light by using speakers hooked up to photoreceptor cells, looking at visible light through diffraction glasses and diagramming the data, protocols for using astronomy based research in the classroom, and infrared thermometers to compare environmental conditions around the observatory. An overview of LIDAR physics was followed up by a simulated LIDAR mapping of the topography of Mars. We will outline specific steps for K-12 infrared astronomy professional development, provide data demonstrating the impact of the above professional development on educator understanding and classroom use, and detail future plans for additional K-12 professional development. Funding was provided by WISE Telescope, Spitzer Space Telescope, Starbucks, Arecibo Observatory, the American Institute of Aeronautics and Astronautics, and the Washington Space Grant Consortium.

  5. The First Hyper-Luminous Infrared Galaxy Discovered by WISE

    NASA Technical Reports Server (NTRS)

    Eisenhardt, Peter R.; Wu, Jingwen; Tsai, Chao-Wei; Assef, Roberto; Benford, Dominic; Blain, Andrew; Bridge, Carrie; Condon, J. J.; Cushing, Michael C.; Cutri, Roc; Evans, Neal J., III; Gelino, Chris; Griffith, Roger L.; Grillmair, Carl J.; Jarrett, Tom; Lonsdale, Carol J.; Masci, Frank J.; Mason, Brian S.; Petty, Sara; Sayers, Jack; Stanford, S. Adam; Stern, Daniel; Wright, Edward L.; Yan, Lin

    2012-01-01

    We report the discovery by the Wide-field Infrared Survey Explorer of the z = 2.452 source WISEJ181417.29+341224.9, the first hyperluminous source found in the WISE survey. WISE 1814+3412 is also the prototype for an all-sky sample of approximately 1000 extremely luminous "W1W2-dropouts" (sources faint or undetected by WISE at 3.4 and 4.6 micrometers and well detected at 12 or 22 micrometers). The WISE data and a 350 micrometers detection give a minimum bolometric luminosity of 3.7 x 10(exp 13) solar luminosity, with approximately 10(exp 14) solar luminosity plausible. Followup images reveal four nearby sources: a QSO and two Lyman Break Galaxies (LBGs) at z = 2.45, and an M dwarf star. The brighter LBG dominates the bolometric emission. Gravitational lensing is unlikely given the source locations and their different spectra and colors. The dominant LBG spectrum indicates a star formation rate approximately 300 solar mass yr(exp -1), accounting for less than or equal to 10 percent of the bolometric luminosity. Strong 22 micrometer emission relative to 350 micrometer implies that warm dust contributes significantly to the luminosity, while cooler dust normally associated with starbursts is constrained by an upper limit at 1.1 mm. Radio emission is approximately 10? above the far-infrared/radio correlation, indicating an active galactic nucleus is present. An obscured AGN combined with starburst and evolved stellar components can account for the observations. If the black hole mass follows the local MBH-bulge mass relation, the implied Eddington ratio is approximately greater than 4. WISE 1814+3412 may be a heavily obscured object where the peak AGN activity occurred prior to the peak era of star formation.

  6. New Exozodi and Asteroid Belt Analogs using WISE

    NASA Astrophysics Data System (ADS)

    Patel, Rahul; Metchev, Stanimir; Heinze, Aren

    2015-01-01

    The presence of circumstellar dust in the terrestrial planet zone and asteroid belt regions of stars can be ascertained from the excess flux from main sequence stars in the mid-infrared wavelengths. Finding dust in these regions is significant as it traces material related to terrestrial planet formation. The WISE All-Sky survey presents an opportunity to extend the population of faint disks to flux levels 100x fainter than disks detected by IRAS.We use the WISE All-Sky Survey data to detect circumstellar debris disks at the 12 and 22 μm bandpasses (W3 and W4, respectively). We present the detection of a sample of over 214 exozodi and asteroid belt analog candidates, 45% of which are brand new detections at confidence levels >99.5%. This was done by cross-matching Hipparcos main-sequence stars with the WISE All-Sky Data Release for stars within 75 pc and outside the galactic plane (|b|>5 deg) and then seeking color excesses at W3 and W4. In addition to applying the standard WISE photometric flags and filters to remove contaminants from our sample, we also improved our selection techniques by correcting for previously unknown systematic behavior in the WISE photometry, thereby including bright saturated stars into our sample. Our debris disk candidates are reliable detections as well as unprecedentedly faint, due in large part to these improved selection techniques. These new nearby excess hosts are optimal targets for direct imaging campaigns to characterize the disk morphology and to provide a larger sample of well characterized disks with which to understand the overall exoplanetary system architecture.

  7. Emergent constraints in climate projections: a case study of changes in high latitude temperature variability

    NASA Astrophysics Data System (ADS)

    Borodina, Aleksandra; Fischer, Erich M.; Knutti, Reto

    2015-04-01

    Climate model projections include large uncertainties particularly in characteristics beyond large-scale mean such as changes in regional temperature variability. Recently, there has been a lot of work aiming at reducing the uncertainty by means of emerging constraints. The idea is to search for strong correlations between present behaviour and the projected changes in certain variables across a range of models, in order to produce ensembles of models calibrated with present-day observation. The underlying assumption is that models with better present-day behaviour have a better representation of local feedbacks and processes and are thereby more reliable for projections. So far it is unclear how to combine the information gained from emerging constraints across timescales, metrics and spatial scales for highest reduction in spread. This work intends to investigate properties of emerging constraints in a representative case study. CMIP5 models consistently project a reduction in temperature variability over the ocean associated with sea ice retreat. While models disagree on the magnitude of the variability reduction, where find a clear structure that models with high present-day variability show a strong reduction, and vice versa. At the grid-point level correlations between the magnitude of present day variability and its change are very high (-0.9 to -0.8). We use this relation to test how the selection of different metrics and timescales can reduce the spread across calibrated model projections. We show that a robust constraint can be obtained by combining relevant metrics across seasons which results in a strong reduction in spread of model projections. We also show that in some cases using individual metrics could be more effective than aggregating all the available information. We investigate the effectiveness of different types of constraints in the context of different target period (1oC, 1.5oC or 2oC global warming), forcing (RCP8.5 and RCP4.5) and when

  8. Integrating science, economics and law into policy: The case of carbon sequestration in climate change policy

    NASA Astrophysics Data System (ADS)

    Richards, Kenneth

    Carbon sequestration, the extraction and storage of carbon from the atmosphere by biomass, could potentially provide a cost-effective means to reduce net greenhouse gas emissions. The claims on behalf of carbon sequestration may be inadvertently overstated, however. Several key observations emerge from this study. First, although carbon sequestration studies all report results in terms of dollars per ton, the definition of that term varies significantly, meaning that the results of various analyses can not be meaningfully compared. Second, when carbon sequestration is included in an energy-economy model of climate change policy, it appears that carbon sequestration could play a major, if not dominant role in a national carbon emission abatement program, reducing costs of emissions stabilization by as much as 80 percent, saving tens of billions of dollars per year. However, the results are very dependant upon landowners' perceived risk. Studies may also have overstated the potential for carbon sequestration because they have not considered the implementation process. This study demonstrates that three factors will reduce the cost-effectiveness of carbon sequestration. First, the implementation costs associated with measurement and governance of the government-private sector relation are higher than in the case of carbon source control. Second, legal constraints limit the range of instruments that the government can use to induce private landowners to expand their carbon sinks. The government will likely have to pay private parties to expand their sinks, or undertake direct government production. In either case, additional revenues will be required, introducing social costs associated with excess burden. Third, because of the very long time involved in developing carbon sinks (up to several decades) the government may not be able to make credible commitments against exactions of one type or another that would effectively reduce the value of private sector investments

  9. Reduction of the air traffic's contribution to climate change: A REACT4C case study

    NASA Astrophysics Data System (ADS)

    Grewe, Volker; Champougny, Thierry; Matthes, Sigrun; Frömming, Christine; Brinkop, Sabine; Søvde, Ole Amund; Irvine, Emma A.; Halscheidt, Lucia

    2014-09-01

    Air traffic alters the atmospheric composition and thereby contributes to climate change. Here we investigate the trans-Atlantic air traffic for one specific winter day and analyse, which routing changes were required to achieve a reduction in the air traffic's contribution to climate change. We have applied an atmosphere-chemistry model to calculate so-called five dimensional climate cost functions (CCF), which describe the climate effect of a locally confined emission. The five dimensions result from the emission location (3D), time (1D) and the type of emission (1D; carbon dioxide, water vapour, nitrogen oxides). In other words, carbon dioxide (CO2), water vapour (H2O) and nitrogen oxides (NOx) are emitted in amounts typical for aviation at many confined locations and times and their impacts on climate calculated with the atmosphere-chemistry model. The impact on climate results from direct effects, such as the changes in the concentration of the greenhouse gases CO2 and H2O and indirect effects such as contrail cirrus formation and chemical changes of ozone and methane by emissions of NOx. These climate cost functions are used by a flight planning tool to optimise flight routes with respect to their climate impact and economic costs of these routes. The results for this specific winter day show that large reductions in the air traffic's contribution to climate warming (up to 60%) can be achieved for westbound flights and smaller reductions for eastbound flights (around 25%). Eastbound flights take advantage of the tail winds from the jet stream and hence routings with lower climate impacts have a large fuel penalty, whenever they leave the jet stream. Maximum reduction in climate impact increases the economic costs by 10-15%, due to higher fuel consumption, caused by a longer flight distance and lower flight levels. However, with only small changes to the air traffic routings and flight altitudes, climate reductions up to 25% can be achieved by only small

  10. Problems, Prescriptions and Potential in Actionable Climate Change Science - A Case Study from California Coastal Marsh Research

    NASA Astrophysics Data System (ADS)

    MacDonald, G. M.; Ambrose, R. F.; Thorne, K.; Takekawa, J.; Brown, L. N.; Fejtek, S.; Gold, M.; Rosencranz, J.

    2015-12-01

    Frustrations regarding the provision of actionable science extend to both producers and consumers. Scientists decry the lack of application of their research in shaping policy and practices while decision makers bemoan the lack of applicability of scientific research to the specific problems at hand or its narrow focus relative to the plethora of engineering, economic and social considerations that they must also consider. Incorporating climate change adds additional complexity due to uncertainties in estimating many facets of future climate, the inherent variability of climate and the decadal scales over which significant changes will develop. Recently a set of guidelines for successful science-policy interaction was derived from the analysis of transboundary water management. These are; 1 recognizing that science is a crucial but bounded input into the decision-making processes, 2 early establishment of conditions for collaboration and shared commitment among participants, 3 understanding that science-policy interactions are enhanced through greater collaboration and social or group-learning processes, 4 accepting that the collaborative production of knowledge is essential to build legitimate decision-making processes, and 5 engaging boundary organizations and informal networks as well as formal stakeholders. Here we present as a case study research on California coastal marshes, climate change and sea-level that is being conducted by university and USGS scientists under the auspices of the Southwest Climate Science Center. We also present research needs identified by a seperate analysis of best practices for coastal marsh restoration in the face of climate change that was conducted in extensive consultation with planners and managers. The initial communication, scientific research and outreach-dissemination of the marsh scientfic study are outlined and compared to best practices needs identified by planners and the science-policy guidelines outlined above

  11. Linking Climate, Hydrology and Groundwater in High-Resolution Transient Groundwater Flow Models: a Case Study For a Climate Change Impacts Assessment in Grand Forks, BC

    NASA Astrophysics Data System (ADS)

    Scibek, J.; Allen, D. M.; Whitfield, P.; Wei, M.

    2004-05-01

    A case study of an unconfined aquifer in the Grand Forks valley in south-central BC was used to develop methodology for linking climate models, hydrologic models, and groundwater models to investigate future impacts of climate change on groundwater resources. A three dimensional groundwater flow model of variable spatial resolution (constrained by borehole spacing) was implemented in MODFLOW, and calibrated to observation well data. Multiple scenarios of the hydraulic conductivity fields were used in a sensitivity analysis. A new methodology was developed for generating spatially-distributed and temporally-varying recharge zonation for the surficial aquifer, using GIS linked to the one-dimensional HELP (USEPA) hydrologic model that estimates aquifer recharge. The recharge model accounts for soil distribution, vadose zone depth and hydraulic conductivity, extent of impermeable areas, surficial geology, and vadose zone thickness. Production well pumping and irrigation return flow during the summer season were included in recharge computations. Although recharge was computed as monthly averages per climate scenario, it is driven by physically-based daily weather inputs generated by a stochastic weather generator and calibrated to local observed climate. Four year long climate scenarios were run, each representing one typical year in the present and future (2020s, 2050s, and 2080s), by perturbing the historical weather according to the downscaled CGCM1 general circulation model results (Environment Canada). CGCM1 model outputs were calibrated for local conditions during the downscaling procedure. These include absolute and relative changes in precipitation; including indirect measures of precipitation intensity, dry and wet spell lengths, temperature, and solar radiation for the evapotranspiration model. CGCM1 downscaling was also used to predict basin-scale runoff for the Kettle River upstream of Grand Forks. This river exerts strong control on the groundwater levels

  12. Estimating farmers' willingness to pay for climate change adaptation: the case of the Malaysian agricultural sector.

    PubMed

    Masud, Muhammad Mehedi; Junsheng, Ha; Akhtar, Rulia; Al-Amin, Abul Quasem; Kari, Fatimah Binti

    2015-02-01

    This paper estimates Malaysian farmers' willingness to pay (WTP) for a planned adaptation programme for addressing climate issues in the Malaysian agricultural sector. We used the contingent valuation method (CVM) for a monetary valuation of farmers' preferences for a planned adaptation programme by ascertaining the value attached to address climatic issues in the Malaysian agricultural sector. Structured questionnaires were distributed among the sampled farmers. The study found that 74 % of respondents were willing to pay for a planned adaptation programme and that several socioeconomic and motivation factors have greater influence on their WTP. This paper clearly specifies the steps needed for all institutional bodies to better address issues in climate change. The outcomes of this paper will support policy makers to better design an efficient adaptation framework for adapting to the adverse impacts of climate change. PMID:25632900

  13. Social vulnerability and climate variability in southern Brazil: a TerraPop case study

    NASA Astrophysics Data System (ADS)

    Adamo, S. B.; Fitch, C. A.; Kugler, T.; Doxsey-Whitfield, E.

    2014-12-01

    Climate variability is an inherent characteristic of the Earth's climate, including but not limited to climate change. It affects and impacts human society in different ways, depending on the underlying socioeconomic vulnerability of specific places, social groups, households and individuals. This differential vulnerability presents spatial and temporal variations, and is rooted in historical patterns of development and relations between human and ecological systems. This study aims to assess the impact of climate variability on livelihoods and well-being, as well as their changes over time and across space, and for rural and urban populations. The geographic focus is Southern Brazil-the states of Parana, Santa Catarina and Rio Grande do Sul-- and the objectives include (a) to identify and map critical areas or hotspots of exposure to climate variability (temperature and precipitation), and (b) to identify internal variation or differential vulnerability within these areas and its evolution over time (1980-2010), using newly available integrated data from the Terra Populus project. These data include geo-referenced climate and agricultural data, and data describing demographic and socioeconomic characteristics of individuals, households and places.

  14. Role of Organizational Climate in Organizational Commitment: The Case of Teaching Hospitals

    PubMed Central

    Bahrami, Mohammad Amin; Barati, Omid; Ghoroghchian, Malake-sadat; Montazer-alfaraj, Razieh; Ranjbar Ezzatabadi, Mohammad

    2015-01-01

    Objective The commitment of employees is affected by several factors, including factors related to the organizational climate. The aim of this study was to investigate the relationship between organizational commitment of nurses and the organizational climate in hospital settings. Methods A cross-sectional study was conducted in 2014 at two teaching hospitals in Yazd, Iran. A total of 90 nurses in these hospitals participated. We used stratified random sampling of the nursing population. The required data were gathered using two valid questionnaires: Allen and Meyer's organizational commitment standard questionnaire and Halpin and Croft's Organizational Climate Description Questionnaire. Data analysis was done through SPSS 20 statistical software (IBM Corp., Armonk, NY, USA). We used descriptive statistics and Pearson's correlation coefficient for the data analysis. Results The findings indicated a positive and significant correlation between organizational commitment and organizational climate (r = 0.269, p = 0.01). There is also a significant positive relationship between avoidance of organizational climate and affective commitment (r = 0.208, p = 0.049) and between focus on production and normative and continuance commitment (r = 0.308, p = 0.003). Conclusion Improving the organizational climate could be a valuable strategy for improving organizational commitment. PMID:27169007

  15. Tolerance to multiple climate stressors: a case study of Douglas-fir drought and cold hardiness.

    PubMed

    Bansal, Sheel; Harrington, Constance A; St Clair, John Bradley

    2016-04-01

    Drought and freeze events are two of the most common forms of climate extremes which result in tree damage or death, and the frequency and intensity of both stressors may increase with climate change. Few studies have examined natural covariation in stress tolerance traits to cope with multiple stressors among wild plant populations.We assessed the capacity of coastal Douglas-fir (Pseudotsuga menziesii var. menziesii), an ecologically and economically important species in the northwestern USA, to tolerate both drought and cold stress on 35 populations grown in common gardens. We used principal components analysis to combine drought and cold hardiness trait data into generalized stress hardiness traits to model geographic variation in hardiness as a function of climate across the Douglas-fir range.Drought and cold hardiness converged among populations along winter temperature gradients and diverged along summer precipitation gradients. Populations originating in regions with cold winters had relatively high tolerance to both drought and cold stress, which is likely due to overlapping adaptations for coping with winter desiccation. Populations from regions with dry summers had increased drought hardiness but reduced cold hardiness, suggesting a trade-off in tolerance mechanisms.Our findings highlight the necessity to look beyond bivariate trait-climate relationships and instead consider multiple traits and climate variables to effectively model and manage for the impacts of climate change on widespread species. PMID:27099710

  16. Tolerance to multiple climate stressors: A case study of Douglas-fir drought and cold hardiness

    USGS Publications Warehouse

    Bansal, Sheel; Harrington, Constance A; St. Clair, John Bradley

    2016-01-01

    Summary: 1. Drought and freeze events are two of the most common forms of climate extremes which result in tree damage or death, and the frequency and intensity of both stressors may increase with climate change. Few studies have examined natural covariation in stress tolerance traits to cope with multiple stressors among wild plant populations. 2. We assessed the capacity of coastal Douglas-fir (Pseudotsuga menziesii var. menziesii), an ecologically and economically important species in the northwestern USA, to tolerate both drought and cold stress on 35 populations grown in common gardens. We used principal components analysis to combine drought and cold hardiness trait data into generalized stress hardiness traits to model geographic variation in hardiness as a function of climate across the Douglas-fir range. 3. Drought and cold hardiness converged among populations along winter temperature gradients and diverged along summer precipitation gradients. Populations originating in regions with cold winters had relatively high tolerance to both drought and cold stress, which is likely due to overlapping adaptations for coping with winter desiccation. Populations from regions with dry summers had increased drought hardiness but reduced cold hardiness, suggesting a trade-off in tolerance mechanisms. 4. Our findings highlight the necessity to look beyond bivariate trait–climate relationships and instead consider multiple traits and climate variables to effectively model and manage for the impacts of climate change on widespread species.

  17. Climate change vulnerability assessments as catalysts for social learning: four case studies in south-eastern Australia

    SciTech Connect

    Preston, Benjamin L

    2012-01-01

    Technical assessments of vulnerability and/or risk are increasingly being undertaken to assess the impacts of climate change. Underlying this is the belief that they will bring clarity to questions regarding the scale of institutional investments required, plausible adaptation policies and measures, and the timing of their implementation. Despite the perceived importance of technical assessments in 'evidence-based' decision environments, assessments cannot be undertaken independent of values and politics, nor are they capable of eliminating the uncertainty that clouds decision-making on climate adaptation As such, assessments can trigger as many questions as they answer, leaving practitioners and stakeholders to question their value. This paper explores the value of vulnerability/risk assessments in climate change adaptation planning processes as a catalyst for learning in four case studies in Southeastern Australia. Data were collected using qualitative interviews with stakeholders involved in the assessments and analysed using a social learning framework. This analysis revealed that detailed and tangible strategies or actions often do not emerge directly from technical assessments. However, it also revealed that the assessments became important platforms for social learning. In providing these platforms, assessments present opportunities to question initial assumptions, explore multiple framings of an issue, generate new information, and galvanise support for collective actions. This study highlights the need for more explicit recognition and understanding of the important role social learning plays in climate change vulnerability assessments and adaptation planning more broadly.

  18. Selecting Populations for Non-Analogous Climate Conditions Using Universal Response Functions: The Case of Douglas-Fir in Central Europe

    PubMed Central

    Chakraborty, Debojyoti; Wang, Tongli; Andre, Konrad; Konnert, Monika; Lexer, Manfred J.; Matulla, Christoph; Schueler, Silvio

    2015-01-01

    Identifying populations within tree species potentially adapted to future climatic conditions is an important requirement for reforestation and assisted migration programmes. Such populations can be identified either by empirical response functions based on correlations of quantitative traits with climate variables or by climate envelope models that compare the climate of seed sources and potential growing areas. In the present study, we analyzed the intraspecific variation in climate growth response of Douglas-fir planted within the non-analogous climate conditions of Central and continental Europe. With data from 50 common garden trials, we developed Universal Response Functions (URF) for tree height and mean basal area and compared the growth performance of the selected best performing populations with that of populations identified through a climate envelope approach. Climate variables of the trial location were found to be stronger predictors of growth performance than climate variables of the population origin. Although the precipitation regime of the population sources varied strongly none of the precipitation related climate variables of population origin was found to be significant within the models. Overall, the URFs explained more than 88% of variation in growth performance. Populations identified by the URF models originate from western Cascades and coastal areas of Washington and Oregon and show significantly higher growth performance than populations identified by the climate envelope approach under both current and climate change scenarios. The URFs predict decreasing growth performance at low and middle elevations of the case study area, but increasing growth performance on high elevation sites. Our analysis suggests that population recommendations based on empirical approaches should be preferred and population selections by climate envelope models without considering climatic constrains of growth performance should be carefully appraised before

  19. Selecting Populations for Non-Analogous Climate Conditions Using Universal Response Functions: The Case of Douglas-Fir in Central Europe.

    PubMed

    Chakraborty, Debojyoti; Wang, Tongli; Andre, Konrad; Konnert, Monika; Lexer, Manfred J; Matulla, Christoph; Schueler, Silvio

    2015-01-01

    Identifying populations within tree species potentially adapted to future climatic conditions is an important requirement for reforestation and assisted migration programmes. Such populations can be identified either by empirical response functions based on correlations of quantitative traits with climate variables or by climate envelope models that compare the climate of seed sources and potential growing areas. In the present study, we analyzed the intraspecific variation in climate growth response of Douglas-fir planted within the non-analogous climate conditions of Central and continental Europe. With data from 50 common garden trials, we developed Universal Response Functions (URF) for tree height and mean basal area and compared the growth performance of the selected best performing populations with that of populations identified through a climate envelope approach. Climate variables of the trial location were found to be stronger predictors of growth performance than climate variables of the population origin. Although the precipitation regime of the population sources varied strongly none of the precipitation related climate variables of population origin was found to be significant within the models. Overall, the URFs explained more than 88% of variation in growth performance. Populations identified by the URF models originate from western Cascades and coastal areas of Washington and Oregon and show significantly higher growth performance than populations identified by the climate envelope approach under both current and climate change scenarios. The URFs predict decreasing growth performance at low and middle elevations of the case study area, but increasing growth performance on high elevation sites. Our analysis suggests that population recommendations based on empirical approaches should be preferred and population selections by climate envelope models without considering climatic constrains of growth performance should be carefully appraised before

  20. Fluid simulations with atomistic resolution: a hybrid multiscale method with field-wise coupling

    SciTech Connect

    Borg, Matthew K.; Lockerby, Duncan A.; Reese, Jason M.

    2013-12-15

    We present a new hybrid method for simulating dense fluid systems that exhibit multiscale behaviour, in particular, systems in which a Navier–Stokes model may not be valid in parts of the computational domain. We apply molecular dynamics as a local microscopic refinement for correcting the Navier–Stokes constitutive approximation in the bulk of the domain, as well as providing a direct measurement of velocity slip at bounding surfaces. Our hybrid approach differs from existing techniques, such as the heterogeneous multiscale method (HMM), in some fundamental respects. In our method, the individual molecular solvers, which provide information to the macro model, are not coupled with the continuum grid at nodes (i.e. point-wise coupling), instead coupling occurs over distributed heterogeneous fields (here referred to as field-wise coupling). This affords two major advantages. Whereas point-wise coupled HMM is limited to regions of flow that are highly scale-separated in all spatial directions (i.e. where the state of non-equilibrium in the fluid can be adequately described by a single strain tensor and temperature gradient vector), our field-wise coupled HMM has no such limitations and so can be applied to flows with arbitrarily-varying degrees of scale separation (e.g. flow from a large reservoir into a nano-channel). The second major advantage is that the position of molecular elements does not need to be collocated with nodes of the continuum grid, which means that the resolution of the microscopic correction can be adjusted independently of the resolution of the continuum model. This in turn means the computational cost and accuracy of the molecular correction can be independently controlled and optimised. The macroscopic constraints on the individual molecular solvers are artificial body-force distributions, used in conjunction with standard periodicity. We test our hybrid method on the Poiseuille flow problem for both Newtonian (Lennard-Jones) and non

  1. 78 FR 79691 - Proposed Information Collection Request; Comment Request; The SunWise Program

    Federal Register 2010, 2011, 2012, 2013, 2014

    2013-12-31

    ... AGENCY Proposed Information Collection Request; Comment Request; The SunWise Program AGENCY... to submit an information collection request (ICR) for ] ``The SunWise Program'' (EPA ICR No. 1904.08... OMB. Abstract: The SunWise Program is a school and community-based sun safety education program...

  2. Method for Estimating Operational Loads on Aerospace Structures Using Span-Wisely Distributed Surface Strains

    NASA Technical Reports Server (NTRS)

    Ko, William L.; Fleischer, Van Tran

    2013-01-01

    This report presents a new method for estimating operational loads (bending moments, shear loads, and torques) acting on slender aerospace structures using distributed surface strains (unidirectional strains). The surface strain-sensing stations are to be evenly distributed along each span-wise strain-sensing line. A depth-wise cross section of the structure along each strain-sensing line can then be considered as an imaginary embedded beam. The embedded beam was first evenly divided into multiple small domains with domain junctures matching the strain-sensing stations. The new method is comprised of two steps. The first step is to determine the structure stiffness (bending or torsion) using surface strains obtained from a simple bending (or torsion) loading case, for which the applied bending moment (or torque) is known. The second step is to use the strain-determined structural stiffness (bending or torsion), and a new set of surface strains induced by any other loading case to calculate the associated operational loads (bending moments, shear loads, or torques). Performance of the new method for estimating operational loads was studied in light of finite-element analyses of several example structures subjected to different loading conditions. The new method for estimating operational loads was found to be fairly accurate, and is very promising for applications to the flight load monitoring of flying vehicles with slender wings.

  3. Climate effects of emission standards: the case for gasoline and diesel cars.

    PubMed

    Tanaka, Katsumasa; Berntsen, Terje; Fuglestvedt, Jan S; Rypdal, Kristin

    2012-05-01

    Passenger transport affects climate through various mechanisms involving both long-lived and short-lived climate forcers. Because diesel cars generally emit less CO(2) than gasoline cars, CO(2) emission taxes for vehicle registrations and fuels enhance the consumer preference for diesel cars over gasoline cars. However, with the non-CO(2) components, which have been changed and will be changed under the previous and upcoming vehicle emission standards, what does the shift from gasoline to diesel cars mean for the climate mitigation? By using a simple climate model, we demonstrate that, under the earlier emissions standards (EURO 3 and 4), a diesel car causes a larger warming up to a decade after the emissions than a similar gasoline car due to the higher emissions of black carbon and NO(X) (enhancing the O(3) production). Beyond a decade, the warming caused by a diesel car becomes, however, weaker because of the lower CO(2) emissions. As the latter emissions standards (EURO 5 and 6) are phased in, the short-term warming due to a diesel car becomes smaller primarily due to the lower black carbon emissions. Thus, although results are subject to restrictive assumptions and uncertainties, the switch from gasoline to diesel cars encouraged by CO(2) taxes does not contradict with the climate mitigation focusing on long-term consequences. PMID:22436085

  4. Modelling flood damages under climate change conditions - a case study for Germany

    NASA Astrophysics Data System (ADS)

    Hattermann, F. F.; Huang, S.; Burghoff, O.; Willems, W.; Österle, H.; Büchner, M.; Kundzewicz, Z.

    2014-12-01

    The aim of the study is to analyze and discuss possible climate change impacts on flood damages in Germany. The study was initiated and supported by the German insurance sector whereby the main goal was to identify general climate-related trends in flood hazard and damages and to explore sensitivity of results to climate scenario uncertainty. The study makes use of climate scenarios regionalized for the main river basins in Germany. A hydrological model (SWIM) that had been calibrated and validated for the main river gauges, was applied to transform these scenarios into discharge for more than 5000 river reaches. Extreme value distribution has been fitted to the time series of river discharge to derive the flood frequency statistics. The hydrological results for each river reach have been linked using the flood statistics to related damage functions provided by the German Insurance Association, considering damages on buildings and small enterprises. The result is that, under the specific scenario conditions, a considerable increase in flood related losses can be expected in Germany in future, warmer, climate.

  5. A Population of WISE-Selected Dual AGNs Revealed by Chandra

    NASA Astrophysics Data System (ADS)

    Secrest, Nathan; Satyapal, Shobita; Rothberg, Barry; Ellison, Sara; Gliozzi, Mario; Fischer, Jackie; Schmitt, Henrique R.; O'Connor, Jess; Fertig, Derek

    2015-08-01

    Since the vast majority of galaxies contain supermassive black holes (SMBHs) and galaxy interactions trigger nuclear gas accretion, a direct consequence of the hierarchical model of galaxy formation would be the existence of binary active galactic nuclei (AGNs). The existence, frequency, and characteristics of such binary AGNs have important astrophysical implications on the SMBH mass function, the interplay between SMBHs and the host galaxy, and the M-σ relation. Despite decades of searching, and strong theoretical reasons that they should exist, observationally confirmed cases of binary AGNs are extremely rare, and most have been discovered serendipitously. Using the all-sky WISE survey, we identified a population of over one hundred strongly interacting galaxies that display extreme red mid-infrared colors (W1-W2 > 0.8) thus far exclusively associated in extragalactic sources with powerful AGNs. The vast majority of these galaxies are optically quiescent suggesting that they capture a population of binary AGNs that cannot be found through optical studies. In our previous pilot Chandra program, we observed the 6 brightest WISE selected dual AGN candidates with separations of a few kiloparsecs. Of the 5 observed thus far, 4 display two nuclear X-ray point sources consistent with dual AGNs, demonstrating that WISE pre-selection may be effective in identifying a new population of dual AGNs. We have obtained follow-up ground based near-IR spectroscopy of 2 targets that reveal broad Pa-α emission confirming the presence of massive black holes with masses ~ 108 M⊙. We will discuss our findings, the state of this research, and its implications for our understanding of the relationship between SMBHs and their host galaxies.

  6. VoxelStats: A MATLAB Package for Multi-Modal Voxel-Wise Brain Image Analysis

    PubMed Central

    Mathotaarachchi, Sulantha; Wang, Seqian; Shin, Monica; Pascoal, Tharick A.; Benedet, Andrea L.; Kang, Min Su; Beaudry, Thomas; Fonov, Vladimir S.; Gauthier, Serge; Labbe, Aurélie; Rosa-Neto, Pedro

    2016-01-01

    In healthy individuals, behavioral outcomes are highly associated with the variability on brain regional structure or neurochemical phenotypes. Similarly, in the context of neurodegenerative conditions, neuroimaging reveals that cognitive decline is linked to the magnitude of atrophy, neurochemical declines, or concentrations of abnormal protein aggregates across brain regions. However, modeling the effects of multiple regional abnormalities as determinants of cognitive decline at the voxel level remains largely unexplored by multimodal imaging research, given the high computational cost of estimating regression models for every single voxel from various imaging modalities. VoxelStats is a voxel-wise computational framework to overcome these computational limitations and to perform statistical operations on multiple scalar variables and imaging modalities at the voxel level. VoxelStats package has been developed in Matlab® and supports imaging formats such as Nifti-1, ANALYZE, and MINC v2. Prebuilt functions in VoxelStats enable the user to perform voxel-wise general and generalized linear models and mixed effect models with multiple volumetric covariates. Importantly, VoxelStats can recognize scalar values or image volumes as response variables and can accommodate volumetric statistical covariates as well as their interaction effects with other variables. Furthermore, this package includes built-in functionality to perform voxel-wise receiver operating characteristic analysis and paired and unpaired group contrast analysis. Validation of VoxelStats was conducted by comparing the linear regression functionality with existing toolboxes such as glim_image and RMINC. The validation results were identical to existing methods and the additional functionality was demonstrated by generating feature case assessments (t-statistics, odds ratio, and true positive rate maps). In summary, VoxelStats expands the current methods for multimodal imaging analysis by allowing the

  7. VoxelStats: A MATLAB Package for Multi-Modal Voxel-Wise Brain Image Analysis.

    PubMed

    Mathotaarachchi, Sulantha; Wang, Seqian; Shin, Monica; Pascoal, Tharick A; Benedet, Andrea L; Kang, Min Su; Beaudry, Thomas; Fonov, Vladimir S; Gauthier, Serge; Labbe, Aurélie; Rosa-Neto, Pedro

    2016-01-01

    In healthy individuals, behavioral outcomes are highly associated with the variability on brain regional structure or neurochemical phenotypes. Similarly, in the context of neurodegenerative conditions, neuroimaging reveals that cognitive decline is linked to the magnitude of atrophy, neurochemical declines, or concentrations of abnormal protein aggregates across brain regions. However, modeling the effects of multiple regional abnormalities as determinants of cognitive decline at the voxel level remains largely unexplored by multimodal imaging research, given the high computational cost of estimating regression models for every single voxel from various imaging modalities. VoxelStats is a voxel-wise computational framework to overcome these computational limitations and to perform statistical operations on multiple scalar variables and imaging modalities at the voxel level. VoxelStats package has been developed in Matlab(®) and supports imaging formats such as Nifti-1, ANALYZE, and MINC v2. Prebuilt functions in VoxelStats enable the user to perform voxel-wise general and generalized linear models and mixed effect models with multiple volumetric covariates. Importantly, VoxelStats can recognize scalar values or image volumes as response variables and can accommodate volumetric statistical covariates as well as their interaction effects with other variables. Furthermore, this package includes built-in functionality to perform voxel-wise receiver operating characteristic analysis and paired and unpaired group contrast analysis. Validation of VoxelStats was conducted by comparing the linear regression functionality with existing toolboxes such as glim_image and RMINC. The validation results were identical to existing methods and the additional functionality was demonstrated by generating feature case assessments (t-statistics, odds ratio, and true positive rate maps). In summary, VoxelStats expands the current methods for multimodal imaging analysis by allowing the

  8. Bi-level multi-source learning for heterogeneous block-wise missing data.

    PubMed

    Xiang, Shuo; Yuan, Lei; Fan, Wei; Wang, Yalin; Thompson, Paul M; Ye, Jieping

    2014-11-15

    Bio-imaging technologies allow scientists to collect large amounts of high-dimensional data from multiple heterogeneous sources for many biomedical applications. In the study of Alzheimer's Disease (AD), neuroimaging data, gene/protein expression data, etc., are often analyzed together to improve predictive power. Joint learning from multiple complementary data sources is advantageous, but feature-pruning and data source selection are critical to learn interpretable models from high-dimensional data. Often, the data collected has block-wise missing entries. In the Alzheimer's Disease Neuroimaging Initiative (ADNI), most subjects have MRI and genetic information, but only half have cerebrospinal fluid (CSF) measures, a different half has FDG-PET; only some have proteomic data. Here we propose how to effectively integrate information from multiple heterogeneous data sources when data is block-wise missing. We present a unified "bi-level" learning model for complete multi-source data, and extend it to incomplete data. Our major contributions are: (1) our proposed models unify feature-level and source-level analysis, including several existing feature learning approaches as special cases; (2) the model for incomplete data avoids imputing missing data and offers superior performance; it generalizes to other applications with block-wise missing data sources; (3) we present efficient optimization algorithms for modeling complete and incomplete data. We comprehensively evaluate the proposed models including all ADNI subjects with at least one of four data types at baseline: MRI, FDG-PET, CSF and proteomics. Our proposed models compare favorably with existing approaches. PMID:23988272

  9. WISE focal plane module lessons learned in light of success

    NASA Astrophysics Data System (ADS)

    Masterjohn, S.; Hogue, H.; Muzilla, M.; Rector, S.; Mattson, R.

    2010-08-01

    DRS Sensors & Targeting Systems, under contract to the Space Dynamics Laboratory of Utah State University, provided the focal plane detector system for NASA's Wide-field Infrared Survey Explorer (WISE). The focal plane detector system consists of two mercury cadmium telluride (MCT) focal plane module assemblies (FPMAs), two arsenic doped silicon (Si:As) Blocked Impurity Band (BIB) FPMAs, electronics to drive the FPMAs and report digital data from them, and the cryogenic and ambient temperature cabling that connect the FPMAs and electronics. The WISE Satellite was launched in late 2009 and has been a very rewarding success. In light of the recent success on orbit, there were many challenges and hurdles the DRS team had to overcome in order to guarantee the ultimate success of the instrument. This report highlights a few of the challenges that the team overcame in hopes that the information can be made available to the astronomy community for future use.

  10. Furthering our knowledge of the solar neighborhood using WISE

    NASA Astrophysics Data System (ADS)

    Cushing, M. C.; Kirkpatrick, J. D.; Gelino, C. R.; Wright, E. L.; Gizis, J. E.; Gomes, J. I.; Leggett, S. K.; Lodieu, N.; Mace, G. N.; Dupuy, T. J.

    2013-02-01

    The launch of NASA's Wide-field Infrared Survey Explorer (WISE) in late 2009 ushered in an new era in the study of the solar neighborhood. Its mid-infrared capabilities have proven critical to the discovery of the bulk of the coolest (\\teff < 1000 K) brown dwarfs, including the new Y dwarfs, and its all-sky coverage lends itself to searches for high proper motions stars using other infrared surveys such as the Two Micron All Sky Survey (2MASS), UKIRT Infrared Deep Sky Survey (UKIDSS), and Visible and Infrared Survey Telescope for Astronomy (VISTA) surveys. This splinter session of the 17th Cambridge Workshop on Cool Stars, Stellar Systems and the Sun was organized to bring together researchers working with WISE data to both identify brown dwarfs and characterize their properties.