Sample records for uncontrolled noaa nesdis

  1. 47 CFR 95.1402 - Special requirements for 406 MHz PLBs.

    Code of Federal Regulations, 2010 CFR

    2010-10-01

    ...: SARSAT Beacon Registration, NOAA, NESDIS, E/SP3, Room 3320, FB-4, 5200 Auth Road, Suitland, Maryland... Administration (NOAA) whose address is: SARSAT Beacon Registration, NOAA, NESDIS, E/SP3, Room 3320, FB-4, 5200...

  2. 47 CFR 95.1402 - Special requirements for 406 MHz PLBs.

    Code of Federal Regulations, 2011 CFR

    2011-10-01

    ...: SARSAT Beacon Registration, NOAA, NESDIS, E/SP3, Room 3320, FB-4, 5200 Auth Road, Suitland, Maryland... Administration (NOAA) whose address is: SARSAT Beacon Registration, NOAA, NESDIS, E/SP3, Room 3320, FB-4, 5200...

  3. 47 CFR 95.1402 - Special requirements for 406 MHz PLBs.

    Code of Federal Regulations, 2013 CFR

    2013-10-01

    ...: SARSAT Beacon Registration, NOAA, NESDIS, E/SP3, Room 3320, FB-4, 5200 Auth Road, Suitland, Maryland... Administration (NOAA) whose address is: SARSAT Beacon Registration, NOAA, NESDIS, E/SP3, Room 3320, FB-4, 5200...

  4. 47 CFR 95.1402 - Special requirements for 406 MHz PLBs.

    Code of Federal Regulations, 2012 CFR

    2012-10-01

    ...: SARSAT Beacon Registration, NOAA, NESDIS, E/SP3, Room 3320, FB-4, 5200 Auth Road, Suitland, Maryland... Administration (NOAA) whose address is: SARSAT Beacon Registration, NOAA, NESDIS, E/SP3, Room 3320, FB-4, 5200...

  5. NOAASIS (NOAA Satellite Information System) Home Page - Office of Satellite

    Science.gov Websites

    and Product Operations » DOC » NOAA » NESDIS » NOAASIS NOAA Satellite Information System Organizational Links National Environmental Satellite, Data, and Information Service (NESDIS) Office of Satellite ): Information and specific ground project support data for the Direct Broadcast Community from JPSS supported

  6. Use of Earth Observing Satellites for Operational Hazard Support

    NASA Astrophysics Data System (ADS)

    Wood, H. M.; Lauritson, L.

    The National Oceanic and Atmospheric Administration (NOAA) relies on Earth observing satellite data to carry out its operational mission to monitor, predict, and assess changes in the Earth's atmosphere, land, and oceans. NOAA's National Environmental Satellite, Data, and Information Service (NESDIS) uses satellite data to help lessen the impacts of natural and man-made disasters due to tropical cyclones, flash floods, heavy snowstorms, volcanic ash clouds (for aviation safety), sea ice (for shipping safety), and harmful algal blooms. Communications systems on NOAA satellites are used to support search and rescue and to relay data from data collection platforms to a variety of users. NOAA's Geostationary (GOES) and Polar (POES) Operational Environmental Satellites are used in conjunction with other satellites to support NOAA's operational mission. While NOAA's National Hurricane Center is responsible for predicting tropical cyclones affecting the U.S. mainland, NESDIS continuously monitors the tropics world wide, relaying valuable satellite interpretations of tropical systems strength and position to users throughout the world. Text messages are sent every six hours for tropical cyclones in the Western Pacific, South Pacific, and Indian Oceans. To support the monitoring, prediction, and assessment of flash floods and winter storms, NESDIS sends out text messages alerting U.S. weather forecast offices whenever NOAA satellite imagery indicates the occurrence of heavy rain or snow. NESDIS also produces a 24-hour rainfall composite graphic image covering those areas affected by heavy precipitation. The International Civil Aviation Organization (ICAO) and other aviation concerns recognized the need to keep aviators informed of volcanic hazards. To that end, nine Volcanic Ash Advisory Centers (VAAC's) were created to monitor volcanic ash plumes within their assigned airspace. NESDIS hosts one of the VAAC's. Although the NESDIS VAAC's primary responsibility is the continental U.S., Carribean, and adjacent oceans, it also tracks volcanic eruptions throughout the world. Text messages are produced along with graphic interpretations. This information, along with volcanic ash forecasts produced by NOAA's National Weather Service, is made available to U.S. Government and international agencies concerned with aviation, seismology, and climate analysis. Earth observing satellites help NESDIS to ensure safe navigation of ships through sea ice by measuring the extent, thickness, and age of ice as well as sea surface winds over the polar regions of the globe, coastal areas, and inland waterways. These satellites also help NESDIS to monitor U.S. coastal areas for dangerous algal blooms or other toxic effects to fish and sea mammals as well as monitoring floods and fires. Experimental fire products can help in the monitoring of fires and fire weather, as well as determining fire risk. Experimental soil moisture products support flood and drought monitoring. Flood extent and damage assessment for a variety of hazards can be determined from several satellites at varying spatial resolutions. The Search and Rescue Satellite Aided Tracking (SARSAT) system detects and locates persons in distress on land or water. NOAA satellites relay distress signals from emergency beacons through a network of ground stations to the U.S. Mission Control Center (USMCC). The USMCC processes the data and alerts the appropriate search and rescue authorities. SARSAT is part of the international Cospas-Sarsat Program. NOAA's GOES Data Collection (DCS) and Argos (jointly with the French space agency) POES Data Collection and Locations Systems transmit data collected from remote land and water based platforms and distributes the data to researchers, governmental and environmental organizations worldwide. The GOES DCS system allows near real time and frequent transmissions, e.g. hourly, over the Americas and much of the Atlantic and Eastern Pacific Oceans. ARGOS transmissions are less frequent, but global and provide the location of moving platforms such as animals and drifting buoys.

  7. Satellite Conferences

    Science.gov Websites

    NOAA- NESDIS Banner Satellite Conferences Collage images of earth, POES and GOES satellites in space HOME Call for Poster Abstracts DOC Logo NOAA Logo Satellite Conferences Welcome to the website for National Oceanic and Atmospheric Administration (NOAA) Satellite Conferences; past, present and future

  8. Meteosat: Full Disk - NOAA GOES Geostationary Satellite Server

    Science.gov Websites

    » DOC » NOAA » NESDIS » OSPO NOAA GOES Geostationary Satellite Server NOAA GOES Geostationary Satellite Server Click to Search GENERAL Home Channel Overview Site Disclaimer Enhancement Info FULL DISK by Europe's Meteorological Satellite Organization (EUMETSAT) and brought to you by the National

  9. Ozone determinations with the NOAA SBUV/2 system

    NASA Technical Reports Server (NTRS)

    Planet, Walter G.; Lienesch, James H.; Bowman, Harold D.; Miller, Alvin J.; Nagatani, Ronald M.

    1994-01-01

    The NOAA satellite ozone monitoring program was initiated by the National Environmental Satellite Data and Information Service (NESDIS) in December 1984, with the launch of the NOAA-9 spacecraft carrying the first operational Solar Backscatter Ultraviolet Spectrometer (SBUV/2). This instrument and its successor on NOAA-11, launched in 1988, are similar to the SBUV instrument launched by the NASA in 1978 on the Nimbus-7 research spacecraft. Measurements by the SBUV and SBUV/2 instruments overlap beginning in 1985. These instruments use measurements of the reflected ultraviolet solar radiation from the atmosphere to derive total ozone amounts and ozone vertical profiles. Since launch, the NOAA instruments and the derived products have been undergoing extensive evaluation by scientists of NOAA and NASA. Measurements obtained with these instruments are processed in real time by the NESDIS. These are reprocessed as the SBUV/2 instrument characterization is refined and as the retrieval algorithm for processing the data is improved. The NOAA-9 ozone data archive begins in March 1985 and continues through October 1990. The archive of NOAA-11 data begins in January 1989 and the data continues to be acquired in 1992.

  10. NOAASIS Gateway - NOAA Satellite Information System (NOAASIS); Office of

    Science.gov Websites

    Satellite and Product Operations » DOC » NOAA » NESDIS » NOAASIS NOAA Satellite Information System NOAASIS Gateway The NOAA Satellite Information System provides essential information for satellite direct readout station operators and users of NOAA environmental satellite data. While the emphasis is on

  11. Lessons Learned from the Deployment and Integration of a Microwave Sounder Based Tropical Cyclone Intensity and Surface Wind Estimation Algorithm into NOAA/NESDIS Satellite Product Operations

    NASA Astrophysics Data System (ADS)

    Longmore, S. P.; Knaff, J. A.; Schumacher, A.; Dostalek, J.; DeMaria, R.; Chirokova, G.; Demaria, M.; Powell, D. C.; Sigmund, A.; Yu, W.

    2014-12-01

    The Colorado State University (CSU) Cooperative Institute for Research in the Atmosphere (CIRA) has recently deployed a tropical cyclone (TC) intensity and surface wind radii estimation algorithm that utilizes Suomi National Polar-orbiting Partnership (S-NPP) satellite Advanced Technology Microwave Sounder (ATMS) and Advanced Microwave Sounding Unit (AMSU) from the NOAA18, NOAA19 and METOPA polar orbiting satellites for testing, integration and operations for the Product System Development and Implementation (PSDI) projects at NOAA's National Environmental Satellite, Data, and Information Service (NESDIS). This presentation discusses the evolution of the CIRA NPP/AMSU TC algorithms internally at CIRA and its migration and integration into the NOAA Data Exploitation (NDE) development and testing frameworks. The discussion will focus on 1) the development cycle of internal NPP/AMSU TC algorithms components by scientists and software engineers, 2) the exchange of these components into the NPP/AMSU TC software systems using the subversion version control system and other exchange methods, 3) testing, debugging and integration of the NPP/AMSU TC systems both at CIRA/NESDIS and 4) the update cycle of new releases through continuous integration. Lastly, a discussion of the methods that were effective and those that need revision will be detailed for the next iteration of the NPP/AMSU TC system.

  12. NOAA Photo Library - NOAA In Space Collection

    Science.gov Websites

    and Infra-Red Observation Satellite. Data from this first meteorological satellite was processed at the Weather Bureau's Meteorological Satellite Laboratory. This laboratory ultimately evolved into the satellite operations of NOAA's National Environmental Satellite, Data, and Information Service (NESDIS

  13. NOAA's new deep space solar monitoring satellite launches

    Science.gov Websites

    Related link: NASA Kennedy Space Center DSCOVR Launch Photos on flickr Media Contact: John Leslie 202-527 forecasts February 11, 2015 Watch the DSCOVR launch on NASA's YouTube channel. (Photo: NASA). NOAA's Deep space mission. (Photo: NASA). NOAA's DSCOVR satellite launch. (Photo: NASA). Visit www.nesdis.noaa.gov

  14. Meteosat Indian Ocean Data Coverage (IODC): Full Disk - NOAA GOES

    Science.gov Websites

    Geostationary Satellite Server » DOC » NOAA » NESDIS » OSPO NOAA GOES Geostationary Satellite Server NOAA GOES Geostationary Satellite Server Click to Search GENERAL Home Channel Overview Site loops. These images are updated every six hours from data provided by Europe's Meteorological Satellite

  15. GOES West - Hawaii Water Vapor Imagery Loop (Flash) - Satellite Products

    Science.gov Websites

    and Services Division/Office of Satellite and Product Operations Skip Navigation Link NESDIS banner image and link to NESDIS link to the NOAA Home page Link to the National Environmental Satellite , Data, and Information Service Home Page Default Office of Satellite and Product Operations banner image

  16. GOES West - Western Region WFO Satellite Imagery - Satellite Products and

    Science.gov Websites

    Services Division - Office of Satellite and Product Operations Skip Navigation Link NESDIS banner image and link to NESDIS link to the NOAA Home page Link to the National Environmental Satellite , Data, and Information Service Home Page Default Office of Satellite and Product Operations banner image

  17. GOES West - Hawaii Visible Imagery Loop (Flash) - Satellite Products and

    Science.gov Websites

    Services Division/Office of Satellite and Product Operations Skip Navigation Link NESDIS banner image and link to NESDIS link to the NOAA Home page Link to the National Environmental Satellite, Data , and Information Service Home Page Default Office of Satellite and Product Operations banner image and

  18. Gulf of Mexico Imagery - Satellite Products and Services Division/Office of

    Science.gov Websites

    Satellite and Product Operations Skip Navigation Link NESDIS banner image and link to NESDIS Home Page Default Office of Satellite and Product Operations banner image and link to OSPO DOC / NOAA Bleaching -- Ocean Color -- Sea/Lake Ice -- Sea Surface Height -- Sea Surface Temperatures -- Tropical

  19. Tropical Pacific Imagery - Satellite Products and Services Division/Office

    Science.gov Websites

    of Satellite and Product Operations Skip Navigation Link NESDIS banner image and link to NESDIS Home Page Default Office of Satellite and Product Operations banner image and link to OSPO DOC / NOAA Bleaching -- Ocean Color -- Sea/Lake Ice -- Sea Surface Height -- Sea Surface Temperatures -- Tropical

  20. Tropical Atlantic Imagery - Satellite Products and Services Division/Office

    Science.gov Websites

    of Satellite and Product Operations Skip Navigation Link NESDIS banner image and link to NESDIS Home Page Default Office of Satellite and Product Operations banner image and link to OSPO DOC / NOAA Bleaching -- Ocean Color -- Sea/Lake Ice -- Sea Surface Height -- Sea Surface Temperatures -- Tropical

  1. 47 CFR 95.1402 - Special requirements for 406 MHz PLBs.

    Code of Federal Regulations, 2014 CFR

    2014-10-01

    ... code, issued by the National Oceanic and Atmospheric Administration (NOAA), the United States Program...: SARSAT Beacon Registration, NOAA, NESDIS, E/SP3, Room 3320, FB-4, 5200 Auth Road, Suitland, Maryland... emergency contact and include the following statement: “WARNING” failure to register this PLB with NOAA...

  2. GOES West - Hawaii IR4 Imagery Loop (Flash) - Satellite Products and

    Science.gov Websites

    Services Division/Office of Satellite and Product Operations Skip Navigation Link NESDIS banner image and link to NESDIS link to the NOAA Home page Link to the National Environmental Satellite, Data , and Information Service Home Page Default Office of Satellite and Product Operations banner image and

  3. 75 FR 81110 - Schedule of Fees for Access to NOAA Environmental Data, Information, and Related Products and...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2010-12-27

    ... Related Products and Services AGENCY: National Environmental Satellite, Data and Information Service..., information, and related products and services to users. NESDIS is revising the fee schedule to ensure that... related products and services. NESDIS is authorized under 15 U.S.C. 1534 to assess fees, up to fair market...

  4. 77 FR 75014 - Schedule of Fees for Access to NOAA Environmental Data, Information, and Related Products and...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2012-12-19

    ... Related Products and Services AGENCY: National Environmental Satellite, Data and Information Service..., information, and related products and services to users. NESDIS is revising the fee schedule that has been in... environmental data, information, and related products and services. NESDIS is authorized under 15 U.S.C. 1534 to...

  5. Office of Satellite and Product Operations

    Science.gov Websites

    » OSPO Home » DOC » NOAA » NESDIS » OSPO NOAA Office of Satellite and Product Operations EMWIN GEONETCAST Americas GOES DCS LRIT NOAA Satellite Conferences NOAASIS SARSAT Products Atmosphere movements. GOES satellite imagery is also used to estimate rainfall during the thunderstorms and hurricanes

  6. Advanced Very High Resolution Radiometer - AVHRR - NOAA Satellite

    Science.gov Websites

    Information System (NOAASIS); Office of Satellite and Product Operations » DOC » NOAA  » NESDIS » NOAASIS NOAA Satellite Information System Advanced Very High Resolution Radiometer - AVHRR The ) or the USGS AVHRR site. Satellite Products and Services Division Direct Services Branch Phone: 301

  7. Washington VAAC Homepage

    Science.gov Websites

    » OSPO Home » DOC » NOAA » NESDIS » OSPO NOAA Office of Satellite and Product Operations EMWIN GEONETCAST Americas GOES DCS LRIT NOAA Satellite Conferences NOAASIS SARSAT Products Atmosphere - Satellite Services Division - Office of Satellite Data Processing and Distribution Washington Volcanic Ash

  8. ARGOS Home - NOAA Satellite Information System (NOAASIS); Office of

    Science.gov Websites

    Satellite and Product Operations » DOC » NOAA » NESDIS » OSPO » NOAASIS NOAA Satellite Links ARGOS Image satellite over globe The Argos Data Collection and location System (DCS) is a data ISRO. The system consists of in-situ data collection platforms equipped with sensors and transmitters

  9. Building a COTS archive for satellite data

    NASA Technical Reports Server (NTRS)

    Singer, Ken; Terril, Dave; Kelly, Jack; Nichols, Cathy

    1994-01-01

    The goal of the NOAA/NESDIS Active Archive was to provide a method of access to an online archive of satellite data. The archive had to manage and store the data, let users interrogate the archive, and allow users to retrieve data from the archive. Practical issues of the system design such as implementation time, cost and operational support were examined in addition to the technical issues. There was a fixed window of opportunity to create an operational system, along with budget and staffing constraints. Therefore, the technical solution had to be designed and implemented subject to constraint imposed by the practical issues. The NOAA/NESDIS Active Archive came online in July of 1994, meeting all of its original objectives.

  10. Fire and Smoke Monitoring at NOAA' Satellite Service; Applications to Smoke Forecasting

    NASA Astrophysics Data System (ADS)

    Stephens, G.; Ruminski, M.

    2005-12-01

    The Hazard Mapping System (HMS), developed and run operationally by NOAA's Satellite Services Division (SSD), is a multiplatform remote sensing approach to detecting fires and smoke over the US and adjacent areas of Canada and Mexico. The system utilizes sensors on 7 different NOAA and NASA satellites. Automated detection algorithms are employed for each of the satellites for the fire detects while smoke is delineated by an image analyst. Analyses are quality control by an analyst who inspects all available imagery and automated fire detects, deleting suspected false detects and adding fires that the automated routines miss. Graphical, text, and GIS compatible analyses are posted to a web site as soon as updates are performed, and a final product for a given day is posted early the following morning. All products are archived at NOAA's National Geophysical Data Center. Areal extent of detectable smoke is outlined using animated visible imagery, for input to a dispersion and transport model, the HYbrid Single-Particle Lagrangian Integrated Trajectory (HYSPLIT), developed by NOAA's Air Resources Laboratory (ARL). Resulting smoke forecasts will soon be used as input to NOAA's Air Quality forecasts. The GOES Aerosol and Smoke Product (GASP) is an experimental GOES imagery based aerosol optical depth (AOD) product developed by the NESDIS Office of Research and Applications, being implemented for evaluation by the NESDIS Satellite Analysis Branch for use in smoke and volcanic ash monitoring. Currently, research is underway in NESDIS' Office of Research and Applications to objectivize smoke delineation using GASP and MODIS AOD retrievals. NOAA's Operational Significant Event Imagery (OSEI) program processes satellite imagery of environmentally significant events, including fire, smoke and volcanic ash, visible in operational satellite data. This imagery is often referred to by fire managers and air quality agencies. Future plans include the integration of high resolution global data from the European Space Agency's MetOp satellite and global geostationary satellites.

  11. NOAA Satellite and Information Service's International and Interagency

    Science.gov Websites

    FISHERIES CHARTING SATELLITES CLIMATE RESEARCH CAREERS Satellite and Data Policy Developing Partnerships Satellite and Information Service International and Interagency Affairs Office NOAA Satellite and , NESDIS IIAD facilitates the access, provision, and use of in situ and satellite data and products, and

  12. Impact of 1/8 degree to 1/64 degree Resolution on Gulf Stream Model-Data Comparisons in Basin-Scale Subtropical Atlantic Ocean Models

    DTIC Science & Technology

    2000-01-01

    Momentum Fluxes. NOAA Atlas NESDIS 8 vol. 3 US Department of Commerce, NOAA, NESDIS, 413 p. Dietrich, G., Kalle , K ., Krauss, K ., Siedler, G., 1980...depth, hydrodynamic model are given below for layers ks1 . . . n with ks1 for the top layer. In places where k is used to index model interfaces, ks0 is...the surface and ksn is the bottom. EU 1 E U u E V u cosuŽ . Ž . k k k k k q q yV u sinuqaV sin2uŽ . k k Et acosu Ef Eu sqmax 0,yv u qmax 0,v u y max 0

  13. Big Data Discovery and Access Services through NOAA OneStop

    NASA Astrophysics Data System (ADS)

    Casey, K. S.; Neufeld, D.; Ritchey, N. A.; Relph, J.; Fischman, D.; Baldwin, R.

    2017-12-01

    The NOAA OneStop Project was created as a pathfinder effort to to improve the discovery of, access to, and usability of NOAA's vast and diverse collection of big data. OneStop is led by the NOAA/NESDIS National Centers for Environmental Information (NCEI), and is seen as a key NESDIS contribution to NOAA's open data and data stewardship efforts. OneStop consists of an entire framework of services, from storage and interoperable access services at the base, through metadata and catalog services in the middle, to a modern user interface experience at the top. Importantly, it is an open framework where external tools and services can connect at whichever level is most appropriate. Since the beta release of the OneStop user interface at the 2016 Fall AGU meeting, significant progress has been made improving and modernizing many NOAA data collections to optimize their use within the framework. In addition, OneStop has made progress implementing robust metadata management and catalog systems at the collection and granule level and improving the user experience with the web interface. This progress will be summarized and the results of extensive user testing including professional usability studies will be reviewed. Key big data technologies supporting the framework will be presented and a community input sought on the future directions of the OneStop Project.

  14. Lossless compression algorithm for multispectral imagers

    NASA Astrophysics Data System (ADS)

    Gladkova, Irina; Grossberg, Michael; Gottipati, Srikanth

    2008-08-01

    Multispectral imaging is becoming an increasingly important tool for monitoring the earth and its environment from space borne and airborne platforms. Multispectral imaging data consists of visible and IR measurements from a scene across space and spectrum. Growing data rates resulting from faster scanning and finer spatial and spectral resolution makes compression an increasingly critical tool to reduce data volume for transmission and archiving. Research for NOAA NESDIS has been directed to finding for the characteristics of satellite atmospheric Earth science Imager sensor data what level of Lossless compression ratio can be obtained as well as appropriate types of mathematics and approaches that can lead to approaching this data's entropy level. Conventional lossless do not achieve the theoretical limits for lossless compression on imager data as estimated from the Shannon entropy. In a previous paper, the authors introduce a lossless compression algorithm developed for MODIS as a proxy for future NOAA-NESDIS satellite based Earth science multispectral imagers such as GOES-R. The algorithm is based on capturing spectral correlations using spectral prediction, and spatial correlations with a linear transform encoder. In decompression, the algorithm uses a statistically computed look up table to iteratively predict each channel from a channel decompressed in the previous iteration. In this paper we present a new approach which fundamentally differs from our prior work. In this new approach, instead of having a single predictor for each pair of bands we introduce a piecewise spatially varying predictor which significantly improves the compression results. Our new algorithm also now optimizes the sequence of channels we use for prediction. Our results are evaluated by comparison with a state of the art wavelet based image compression scheme, Jpeg2000. We present results on the 14 channel subset of the MODIS imager, which serves as a proxy for the GOES-R imager. We will also show results of the algorithm for on NOAA AVHRR data and data from SEVIRI. The algorithm is designed to be adapted to the wide range of multispectral imagers and should facilitate distribution of data throughout globally. This compression research is managed by Roger Heymann, PE of OSD NOAA NESDIS Engineering, in collaboration with the NOAA NESDIS STAR Research Office through Mitch Goldberg, Tim Schmit, Walter Wolf.

  15. Clouds as calibration targets for AVHRR reflected-solar channels - Results from a two-year study at NOAA/NESDIS

    NASA Technical Reports Server (NTRS)

    Abel, Peter

    1991-01-01

    NOAA-11 Advanced Very High Resolution Radiometer (AVHRR) and associated ground-based data have been collected at NOAA/NESDIS, on a daily basis and for 600 days, using five stations within the continental United States in the NOAA solar radiation (SOLRAD) monitoring network. The data have been filtered to include only uniformly overcast conditions and analyzed along the lines described by Paris and Justus (1988). Results from this first long-term pilot operational application of the method are presented. The method is potentially useful for establishing yearly-averaged trends in the radiometric gain of AVHRR Channels. The relatively small data base examined here suggests a precision in the 600 day mean gain of 5 percent or worse, with a significant part of this uncertainty being driven by poor knowlege of the bidirectional reflectance properties of clouds. The results suggest that the method in its present formulation has insufficient precision to be used as a primary method for the measurement of in-orbit gains of reflected-solar radiometers aboard polar orbiting satellites. Intrinsic limitations to the precision and time resolution of the method are discussed, and suggestions are offered for improving the precision of future results.

  16. How to Get Data from NOAA Environmental Satellites: An Overview of Operations, Products, Access and Archive

    NASA Astrophysics Data System (ADS)

    Donoho, N.; Graumann, A.; McNamara, D. P.

    2015-12-01

    In this presentation we will highlight access and availability of NOAA satellite data for near real time (NRT) and retrospective product users. The presentation includes an overview of the current fleet of NOAA satellites and methods of data distribution and access to hundreds of imagery and products offered by the Environmental Satellite Processing Center (ESPC) and the Comprehensive Large Array-data Stewardship System (CLASS). In particular, emphasis on the various levels of services for current and past observations will be presented. The National Environmental Satellite, Data, and Information Service (NESDIS) is dedicated to providing timely access to global environmental data from satellites and other sources. In special cases, users are authorized direct access to NESDIS data distribution systems for environmental satellite data and products. Other means of access include publicly available distribution services such as the Global Telecommunication System (GTS), NOAA satellite direct broadcast services and various NOAA websites and ftp servers, including CLASS. CLASS is NOAA's information technology system designed to support long-term, secure preservation and standards-based access to environmental data collections and information. The National Centers for Environmental Information (NCEI) is responsible for the ingest, quality control, stewardship, archival and access to data and science information. This work will also show the latest technology improvements, enterprise approach and future plans for distribution of exponentially increasing data volumes from future NOAA missions. A primer on access to NOAA operational satellite products and services is available at http://www.ospo.noaa.gov/Organization/About/access.html. Access to post-operational satellite data and assorted products is available at http://www.class.noaa.gov

  17. KSC-2015-1298

    NASA Image and Video Library

    2015-02-07

    CAPE CANAVERAL, Fla. – Stephen Volz, assistant administrator of the NOAA Satellite and Information Service, prepares to brief media on preparations for the liftoff of NOAA’s Deep Space Climate Observatory spacecraft, or DSCOVR. DSCOVR will launch aboard a SpaceX Falcon 9 rocket. The mission is a partnership between NOAA, NASA and the U.S. Air Force. DSCOVR will maintain the nation's real-time solar wind monitoring capabilities which are critical to the accuracy and lead time of NOAA's space weather alerts and forecasts. To learn more about DSCOVR, visit http://www.nesdis.noaa.gov/DSCOVR. Photo credit: NASA/Jim Grossman

  18. KSC-2015-1296

    NASA Image and Video Library

    2015-02-07

    CAPE CANAVERAL, Fla. – Tom Berger, director of the NOAA Space Weather Prediction Center, prepares to brief media on preparations for the liftoff of NOAA’s Deep Space Climate Observatory spacecraft, or DSCOVR. DSCOVR will launch aboard a SpaceX Falcon 9 rocket. The mission is a partnership between NOAA, NASA and the U.S. Air Force. DSCOVR will maintain the nation's real-time solar wind monitoring capabilities which are critical to the accuracy and lead time of NOAA's space weather alerts and forecasts. To learn more about DSCOVR, visit http://www.nesdis.noaa.gov/DSCOVR. Photo credit: NASA/Jim Grossman

  19. Development of IDEA product for GOES-R aerosol data

    NASA Astrophysics Data System (ADS)

    Zhang, Hai; Hoff, Raymond M.; Kondragunta, Shobha

    2009-08-01

    The NOAA GOES-R Advanced Baseline Imager (ABI) will have nearly the same capabilities as NASA's Moderate Resolution Imaging Spectroradiometer (MODIS) to generate multi-wavelength retrievals of aerosol optical depth (AOD) with high temporal and spatial resolution, which can be used as a surrogate of surface particulate measurements such as PM2.5 (particulate matter with diameter less than 2.5 μm). To prepare for the launch of GOES-R and its application in the air quality forecasting, we have transferred and enhanced the Infusing satellite Data into Environmental Applications (IDEA) product from University of Wisconsin to NOAA NESDIS. IDEA was created through a NASA/EPA/NOAA cooperative effort. The enhanced IDEA product provides near-real-time imagery of AOD derived from multiple satellite sensors including MODIS Terra, MODIS Aqua, GOES EAST and GOES WEST imager. Air quality forecast guidance is produced through a trajectory model initiated at locations with high AOD retrievals and/or high aerosol index (AI) from OMI (Ozone Monitoring Instrument). The product is currently running at http://www.star.nesdis.noaa.gov/smcd/spb/aq/. The IDEA system will be tested using the GOES-R ABI proxy dataset, and will be ready to operate with GOES-R aerosol data when GOES-R is launched.

  20. KSC-2015-1316

    NASA Image and Video Library

    2015-02-08

    Gaseous oxygen vents away from the SpaceX Falcon 9 rocket standing at Space Launch Complex 40 at Florida’s Cape Canaveral Air Force Station during the first launch attempt for NOAA’s Deep Space Climate Observatory spacecraft, or DSCOVR. The mission is a partnership between NOAA, NASA and the U.S. Air Force. DSCOVR will maintain the nation's real-time solar wind monitoring capabilities which are critical to the accuracy and lead time of NOAA's space weather alerts and forecasts. To learn more about DSCOVR, visit http://www.nesdis.noaa.gov/DSCOVR. Photo credit: NASA/Ben Smegelsky

  1. KSC-2015-1307

    NASA Image and Video Library

    2015-02-08

    CAPE CANAVERAL, Fla. – The SpaceX Falcon 9 rocket set to launch NOAA’s Deep Space Climate Observatory spacecraft, or DSCOVR, is flanked by lightning masts at Space Launch Complex 40 at Cape Canaveral Air Force Station in Florida. DSCOVR is a partnership between NOAA, NASA and the U.S. Air Force. DSCOVR will maintain the nation's real-time solar wind monitoring capabilities which are critical to the accuracy and lead time of NOAA's space weather alerts and forecasts. To learn more about DSCOVR, visit http://www.nesdis.noaa.gov/DSCOVR. Photo credit: NASA/Kim Shiflett

  2. KSC-2015-1305

    NASA Image and Video Library

    2015-02-08

    CAPE CANAVERAL, Fla. – The SpaceX Falcon 9 rocket set to launch NOAA’s Deep Space Climate Observatory spacecraft, or DSCOVR, awaits liftoff at 6:10 p.m. EST from Space Launch Complex 40 at Cape Canaveral Air Force Station in Florida. DSCOVR is a partnership between NOAA, NASA and the U.S. Air Force. DSCOVR will maintain the nation's real-time solar wind monitoring capabilities which are critical to the accuracy and lead time of NOAA's space weather alerts and forecasts. To learn more about DSCOVR, visit http://www.nesdis.noaa.gov/DSCOVR. Photo credit: NASA/Kim Shiflett

  3. KSC-2015-1315

    NASA Image and Video Library

    2015-02-08

    The SpaceX Falcon 9 rocket set to launch NOAA’s Deep Space Climate Observatory spacecraft, or DSCOVR, stands at Space Launch Complex 40 at Florida’s Cape Canaveral Air Force Station during the mission’s first launch attempt. The mission is a partnership between NOAA, NASA and the U.S. Air Force. DSCOVR will maintain the nation's real-time solar wind monitoring capabilities which are critical to the accuracy and lead time of NOAA's space weather alerts and forecasts. To learn more about DSCOVR, visit http://www.nesdis.noaa.gov/DSCOVR. Photo credit: NASA/Ben Smegelsky

  4. KSC-2015-1309

    NASA Image and Video Library

    2015-02-08

    CAPE CANAVERAL, Fla. – The SpaceX Falcon 9 rocket set to launch NOAA’s Deep Space Climate Observatory spacecraft, or DSCOVR, awaits liftoff at 6:10 p.m. EST from Space Launch Complex 40 at Cape Canaveral Air Force Station in Florida. DSCOVR is a partnership between NOAA, NASA and the U.S. Air Force. DSCOVR will maintain the nation's real-time solar wind monitoring capabilities which are critical to the accuracy and lead time of NOAA's space weather alerts and forecasts. To learn more about DSCOVR, visit http://www.nesdis.noaa.gov/DSCOVR. Photo credit: NASA/Kim Shiflett

  5. KSC-2015-1333

    NASA Image and Video Library

    2015-02-11

    The SpaceX Falcon 9 rocket carrying NOAA’s Deep Space Climate Observatory spacecraft, or DSCOVR, lifts off from Space Launch Complex 40 at Cape Canaveral Air Force Station in Florida. Liftoff occurred at 6:03 p.m. EST. DSCOVR is a partnership between NOAA, NASA and the U.S. Air Force, and will maintain the nation's real-time solar wind monitoring capabilities. To learn more about DSCOVR, visit http://www.nesdis.noaa.gov/DSCOVR. Photo credit: NASA/Kim Shiflett

  6. KSC-2015-1341

    NASA Image and Video Library

    2015-02-11

    The SpaceX Falcon 9 rocket carrying NOAA’s Deep Space Climate Observatory spacecraft, or DSCOVR, lifts off from Space Launch Complex 40 at Cape Canaveral Air Force Station in Florida. Liftoff occurred at 6:03 p.m. EST. DSCOVR is a partnership between NOAA, NASA and the U.S. Air Force, and will maintain the nation's real-time solar wind monitoring capabilities. To learn more about DSCOVR, visit http://www.nesdis.noaa.gov/DSCOVR. Photo credit: NASA/Ben Smegelsky

  7. KSC-2015-1335

    NASA Image and Video Library

    2015-02-11

    The SpaceX Falcon 9 rocket rises from Space Launch Complex 40 at Cape Canaveral Air Force Station in Florida carrying NOAA’s Deep Space Climate Observatory spacecraft, or DSCOVR. Liftoff occurred at 6:03 p.m. EST. DSCOVR is a partnership between NOAA, NASA and the U.S. Air Force, and will maintain the nation's real-time solar wind monitoring capabilities. To learn more about DSCOVR, visit http://www.nesdis.noaa.gov/DSCOVR. Photo credit: NASA/Kim Shiflett

  8. KSC-2015-1334

    NASA Image and Video Library

    2015-02-11

    The SpaceX Falcon 9 rocket lifts off from Space Launch Complex 40 at Cape Canaveral Air Force Station in Florida carrying NOAA’s Deep Space Climate Observatory spacecraft, or DSCOVR. Liftoff occurred at 6:03 p.m. EST. DSCOVR is a partnership between NOAA, NASA and the U.S. Air Force, and will maintain the nation's real-time solar wind monitoring capabilities. To learn more about DSCOVR, visit http://www.nesdis.noaa.gov/DSCOVR. Photo credit: NASA/Kim Shiflett

  9. Operational Significant Event Imagery (OSEI) - Office of Satellite and

    Science.gov Websites

    Product Operations - History » OSPO Home » DOC » NOAA » NESDIS » OSPO NOAA Office of Mission & Strategy » International Agreements » POES Current » GOES Current History » History in Images » POES History » GOES History OSPO Information » Access and Distribution Policy » Organization

  10. Hazard Mapping System Fire and Smoke Product - Office of Satellite and

    Science.gov Websites

    Floater Imagery NASA MODIS NASA MODIS Rapid Response NESDIS Products Archived Fire Products (6 months OMI SO2 NASA data portal NRL Aerosol page NRL Aerosol links NOAA Earth System Research Lab RAMSDIS G

  11. KSC-2015-1314

    NASA Image and Video Library

    2015-02-08

    Sen. Bill Nelson, left, and former Vice President Al Gore greet singer Jimmy Buffett, right, at NASA’s Kennedy Space Center in Florida prior to the planned liftoff of NOAA’s Deep Space Climate Observatory mission, or DSCOVR. DSCOVR will launch aboard a SpaceX Falcon 9 rocket. The mission is a partnership between NOAA, NASA and the U.S. Air Force. DSCOVR will maintain the nation's real-time solar wind monitoring capabilities which are critical to the accuracy and lead time of NOAA's space weather alerts and forecasts. To learn more about DSCOVR, visit http://www.nesdis.noaa.gov/DSCOVR. Photo credit: NASA/Kim Shiflett

  12. KSC-2015-1312

    NASA Image and Video Library

    2015-02-08

    CAPE CANAVERAL, Fla. – Former Vice President Al Gore speaks to news media at NASA’s Kennedy Space Center in Florida prior to the planned liftoff of NOAA’s Deep Space Climate Observatory spacecraft, or DSCOVR. DSCOVR will launch aboard a SpaceX Falcon 9 rocket. The mission is a partnership between NOAA, NASA and the U.S. Air Force. DSCOVR will maintain the nation's real-time solar wind monitoring capabilities which are critical to the accuracy and lead time of NOAA's space weather alerts and forecasts. To learn more about DSCOVR, visit http://www.nesdis.noaa.gov/DSCOVR. Photo credit: NASA/Kim Shiflett

  13. KSC-2015-1304

    NASA Image and Video Library

    2015-02-07

    CAPE CANAVERAL, Fla. – Mike McAleenan, launch weather officer with the U.S. Air Force 45th Weather Squadron, provides an on the launch-day forecast during a briefing regarding NOAA’s Deep Space Climate Observatory spacecraft, or DSCOVR. DSCOVR will launch aboard a SpaceX Falcon 9 rocket. The mission is a partnership between NOAA, NASA and the U.S. Air Force. DSCOVR will maintain the nation's real-time solar wind monitoring capabilities which are critical to the accuracy and lead time of NOAA's space weather alerts and forecasts. To learn more about DSCOVR, visit http://www.nesdis.noaa.gov/DSCOVR. Photo credit: NASA/Kim Shiflett

  14. KSC-2015-1303

    NASA Image and Video Library

    2015-02-07

    CAPE CANAVERAL, Fla. – Hans Koenigsmann, vice president of mission assurance at SpaceX, listens to a question from a member of the news media during a briefing regarding NOAA’s Deep Space Climate Observatory spacecraft, or DSCOVR. DSCOVR will launch aboard a SpaceX Falcon 9 rocket. The mission is a partnership between NOAA, NASA and the U.S. Air Force. DSCOVR will maintain the nation's real-time solar wind monitoring capabilities which are critical to the accuracy and lead time of NOAA's space weather alerts and forecasts. To learn more about DSCOVR, visit http://www.nesdis.noaa.gov/DSCOVR. Photo credit: NASA/Kim Shiflett

  15. KSC-2015-1297

    NASA Image and Video Library

    2015-02-07

    CAPE CANAVERAL, Fla. – Steven Clarke, NASA Joint Agency Satellite Division director for the agency’s Science Mission Directorate, prepares to brief media on preparations for the liftoff of NOAA’s Deep Space Climate Observatory spacecraft, or DSCOVR. DSCOVR will launch aboard a SpaceX Falcon 9 rocket. The mission is a partnership between NOAA, NASA and the U.S. Air Force. DSCOVR will maintain the nation's real-time solar wind monitoring capabilities which are critical to the accuracy and lead time of NOAA's space weather alerts and forecasts.To learn more about DSCOVR, visit http://www.nesdis.noaa.gov/DSCOVR. Photo credit: NASA/Jim Grossman

  16. KSC-2015-1306

    NASA Image and Video Library

    2015-02-08

    CAPE CANAVERAL, Fla. – The payload fairing protecting NOAA’s Deep Space Climate Observatory spacecraft, or DSCOVR, tops the SpaceX Falcon 9 rocket set to lift off at 6:10 p.m. EST from Space Launch Complex 40 at Cape Canaveral Air Force Station in Florida. DSCOVR is a partnership between NOAA, NASA and the U.S. Air Force. DSCOVR will maintain the nation's real-time solar wind monitoring capabilities which are critical to the accuracy and lead time of NOAA's space weather alerts and forecasts. To learn more about DSCOVR, visit http://www.nesdis.noaa.gov/DSCOVR. Photo credit: NASA/Kim Shiflett

  17. KSC-2015-1338

    NASA Image and Video Library

    2015-02-11

    The SpaceX Falcon 9 rocket clears the tower at Space Launch Complex 40 at Florida’s Cape Canaveral Air Force Station. On board is NOAA’s Deep Space Climate Observatory spacecraft, or DSCOVR. Liftoff occurred at 6:03 p.m. EST. DSCOVR is a partnership between NOAA, NASA and the U.S. Air Force, and will maintain the nation's real-time solar wind monitoring capabilities. To learn more about DSCOVR, visit http://www.nesdis.noaa.gov/DSCOVR. Photo credit: NASA/Kim Shiflett

  18. KSC-2015-1365

    NASA Image and Video Library

    2015-02-11

    The SpaceX Falcon 9 rocket carrying NOAA’s Deep Space Climate Observatory spacecraft, or DSCOVR, lifts off from Space Launch Complex 40 at Cape Canaveral Air Force Station in Florida. Liftoff occurred at 6:03 p.m. EST. DSCOVR is a partnership between NOAA, NASA and the U.S. Air Force, and will maintain the nation's real-time solar wind monitoring capabilities. To learn more about DSCOVR, visit http://www.nesdis.noaa.gov/DSCOVR. Photo credit: NASA/Tony Gray and Tim Powers

  19. KSC-2015-1359

    NASA Image and Video Library

    2015-02-11

    The SpaceX Falcon 9 rocket carrying NOAA’s Deep Space Climate Observatory spacecraft, or DSCOVR, lifts off from Space Launch Complex 40 at Cape Canaveral Air Force Station in Florida. Liftoff occurred at 6:03 p.m. EST. DSCOVR is a partnership between NOAA, NASA and the U.S. Air Force, and will maintain the nation's real-time solar wind monitoring capabilities. To learn more about DSCOVR, visit http://www.nesdis.noaa.gov/DSCOVR. Photo credit: NASA/Tony Gray and Tim Powers

  20. KSC-2015-1368

    NASA Image and Video Library

    2015-02-11

    The SpaceX Falcon 9 rocket carrying NOAA’s Deep Space Climate Observatory spacecraft, or DSCOVR, lifts off from Space Launch Complex 40 at Cape Canaveral Air Force Station in Florida. Liftoff occurred at 6:03 p.m. EST. DSCOVR is a partnership between NOAA, NASA and the U.S. Air Force, and will maintain the nation's real-time solar wind monitoring capabilities. To learn more about DSCOVR, visit http://www.nesdis.noaa.gov/DSCOVR. Photo credit: NASA/Tony Gray and Tim Powers

  1. KSC-2015-1362

    NASA Image and Video Library

    2015-02-11

    The SpaceX Falcon 9 rocket carrying NOAA’s Deep Space Climate Observatory spacecraft, or DSCOVR, lifts off from Space Launch Complex 40 at Cape Canaveral Air Force Station in Florida at 6:03 p.m. EST. DSCOVR is a partnership between NOAA, NASA and the U.S. Air Force, and will maintain the nation's real-time solar wind monitoring capabilities. To learn more about DSCOVR, visit http://www.nesdis.noaa.gov/DSCOVR. Photo credit: NASA/Tony Gray and Tim Powers

  2. KSC-2015-1366

    NASA Image and Video Library

    2015-02-11

    The SpaceX Falcon 9 rocket carrying NOAA’s Deep Space Climate Observatory spacecraft, or DSCOVR, lifts off from Space Launch Complex 40 at Cape Canaveral Air Force Station in Florida. Liftoff occurred at 6:03 p.m. EST. DSCOVR is a partnership between NOAA, NASA and the U.S. Air Force, and will maintain the nation's real-time solar wind monitoring capabilities. To learn more about DSCOVR, visit http://www.nesdis.noaa.gov/DSCOVR. Photo credit: NASA/Tony Gray and Tim Powers

  3. KSC-2015-1340

    NASA Image and Video Library

    2015-02-11

    The SpaceX Falcon 9 rocket climbs away from Space Launch Complex 40 at Florida’s Cape Canaveral Air Force Station. On board is NOAA’s Deep Space Climate Observatory spacecraft, or DSCOVR. Liftoff occurred at 6:03 p.m. EST. DSCOVR is a partnership between NOAA, NASA and the U.S. Air Force, and will maintain the nation's real-time solar wind monitoring capabilities. To learn more about DSCOVR, visit http://www.nesdis.noaa.gov/DSCOVR. Photo credit: NASA/Kim Shiflett

  4. KSC-2015-1367

    NASA Image and Video Library

    2015-02-11

    The SpaceX Falcon 9 rocket carrying NOAA’s Deep Space Climate Observatory spacecraft, or DSCOVR, lifts off from Space Launch Complex 40 at Cape Canaveral Air Force Station in Florida. Liftoff occurred at 6:03 p.m. EST. DSCOVR is a partnership between NOAA, NASA and the U.S. Air Force, and will maintain the nation's real-time solar wind monitoring capabilities. To learn more about DSCOVR, visit http://www.nesdis.noaa.gov/DSCOVR. Photo credit: NASA/Tony Gray and Tim Powers

  5. KSC-2015-1363

    NASA Image and Video Library

    2015-02-11

    The SpaceX Falcon 9 rocket carrying NOAA’s Deep Space Climate Observatory spacecraft, or DSCOVR, lifts off from Space Launch Complex 40 at Cape Canaveral Air Force Station in Florida at 6:03 p.m. EST. DSCOVR is a partnership between NOAA, NASA and the U.S. Air Force, and will maintain the nation's real-time solar wind monitoring capabilities. To learn more about DSCOVR, visit http://www.nesdis.noaa.gov/DSCOVR. Photo credit: NASA/Tony Gray and Tim Powers

  6. KSC-2015-1357

    NASA Image and Video Library

    2015-02-11

    The SpaceX Falcon 9 rocket carrying NOAA’s Deep Space Climate Observatory spacecraft, or DSCOVR, rises from Space Launch Complex 40 at Cape Canaveral Air Force Station in Florida. Liftoff occurred at 6:03 p.m. EST. DSCOVR is a partnership between NOAA, NASA and the U.S. Air Force, and will maintain the nation's real-time solar wind monitoring capabilities. To learn more about DSCOVR, visit http://www.nesdis.noaa.gov/DSCOVR. Photo credit: NASA/Tony Gray and Tim Powers

  7. KSC-2015-1356

    NASA Image and Video Library

    2015-02-11

    The SpaceX Falcon 9 rocket carrying NOAA’s Deep Space Climate Observatory spacecraft, or DSCOVR, lifts off from Space Launch Complex 40 at Cape Canaveral Air Force Station in Florida. Liftoff occurred at 6:03 p.m. EST. DSCOVR is a partnership between NOAA, NASA and the U.S. Air Force, and will maintain the nation's real-time solar wind monitoring capabilities. To learn more about DSCOVR, visit http://www.nesdis.noaa.gov/DSCOVR. Photo credit: NASA/Tony Gray and Tim Powers

  8. Upgrades to the NOAA/NESDIS automated Cloud-Motion Vector system

    NASA Technical Reports Server (NTRS)

    Nieman, Steve; Menzel, W. Paul; Hayden, Christopher M.; Wanzong, Steve; Velden, Christopher S.

    1993-01-01

    The latest version of the automated cloud motion vector software has yielded significant improvements in the quality of the GOES cloud-drift winds produced operationally by NESDIS. Cloud motion vectors resulting from the automated system are now equal or superior in quality to those which had the benefit of manual quality control a few years ago. The single most important factor in this improvement has been the upgraded auto-editor. Improved tracer selection procedures eliminate targets in difficult regions and allow a higher target density and therefore enhanced coverage in areas of interest. The incorporation of the H2O-intercept height assignment method allows an adequate representation of the heights of semi-transparent clouds in the absence of a CO2-absorption channel. Finally, GOES-8 water-vapor motion winds resulting from the automated system are superior to any done previously by NESDIS and should now be considered as an operational product.

  9. GEARS: An Enterprise Architecture Based On Common Ground Services

    NASA Astrophysics Data System (ADS)

    Petersen, S.

    2014-12-01

    Earth observation satellites collect a broad variety of data used in applications that range from weather forecasting to climate monitoring. Within NOAA the National Environmental Satellite Data and Information Service (NESDIS) supports these applications by operating satellites in both geosynchronous and polar orbits. Traditionally NESDIS has acquired and operated its satellites as stand-alone systems with their own command and control, mission management, processing, and distribution systems. As the volume, velocity, veracity, and variety of sensor data and products produced by these systems continues to increase, NESDIS is migrating to a new concept of operation in which it will operate and sustain the ground infrastructure as an integrated Enterprise. Based on a series of common ground services, the Ground Enterprise Architecture System (GEARS) approach promises greater agility, flexibility, and efficiency at reduced cost. This talk describes the new architecture and associated development activities, and presents the results of initial efforts to improve product processing and distribution.

  10. Establishing an Operational Data System for Surface Currents Derived from Satellite Altimeters and Scatterometers; Pilot Study for the Tropical Pacific

    NASA Astrophysics Data System (ADS)

    Lagerloef, G. S.; Cheney, R.; Mitchum, G. T.

    2001-12-01

    We are initiating a pilot processing system and data center to provide operational ocean surface velocity fields from satellite altimeter and vector wind data. The team includes the above authors plus M. Bourassa (FSU), V.Kousky (NOAA/NCEP), J.Polovina (NOAA/NMFS/Hawaii CoastWatch), R.Legeckis (NOAA/NESDIS), G. Jacobs (NRL), F. Bonjean (ESR), E.Johnson (ESR) and J.Gunn (ESR). Methods to derive surface currents are the outcome of several years of NASA sponsored research and the pilot project will transition that capability to operational oceanographic applications. The regional focus will be the tropical Pacific. Data applications include large scale climate diagnostics and prediction, fisheries management and recruitment, monitoring debris drift, larvae drift, oil spills, fronts and eddies. Additional uses for search and rescue, naval and maritime operations will be investigated. The pilot study will produce velocity maps to be updated on a weekly basis initially, with a goal for eventual 2-day maximum delay from time of satellite measurement. Grid resolution will be 100 km for the basin scale, and finer resolution in the vicinity of the Pacific Islands. Various illustrations of the velocity maps and their applications will be presented. The project's goal is to leave in place an automated system running at NOAA/NESDIS, with an established user clientele and open Internet data access.

  11. Deep Space Climate Observatory (DSCOVR) lifted off from Cape Canaveral

    NASA Image and Video Library

    2015-02-13

    KSC-2015-1341 (02/11/2015) --- The SpaceX Falcon 9 rocket carrying NOAA’s Deep Space Climate Observatory spacecraft, or DSCOVR, lifts off from Space Launch Complex 40 at Cape Canaveral Air Force Station in Florida. Liftoff occurred at 6:03 p.m. EST. DSCOVR is a partnership between NOAA, NASA and the U.S. Air Force, and will maintain the nation's real-time solar wind monitoring capabilities. To learn more about DSCOVR, visit www.nesdis.noaa.gov/DSCOVR. Photo credit: NASA/Ben Smegelsky

  12. KSC-2015-1361

    NASA Image and Video Library

    2015-02-11

    Umbilicals pull away from the SpaceX Falcon 9 rocket as it launches from Space Launch Complex 40 at Cape Canaveral Air Force Station in Florida carrying NOAA’s Deep Space Climate Observatory spacecraft, or DSCOVR. Liftoff occurred at 6:03 p.m. EST. DSCOVR is a partnership between NOAA, NASA and the U.S. Air Force, and will maintain the nation's real-time solar wind monitoring capabilities. To learn more about DSCOVR, visit http://www.nesdis.noaa.gov/DSCOVR. Photo credit: NASA/Tony Gray and Tim Powers

  13. KSC-2015-1342

    NASA Image and Video Library

    2015-02-11

    Backdropped by a bright blue sky, the SpaceX Falcon 9 rocket carrying NOAA’s Deep Space Climate Observatory spacecraft, or DSCOVR, soars away from Space Launch Complex 40 at Cape Canaveral Air Force Station in Florida. Liftoff occurred at 6:03 p.m. EST. DSCOVR is a partnership between NOAA, NASA and the U.S. Air Force, and will maintain the nation's real-time solar wind monitoring capabilities. To learn more about DSCOVR, visit http://www.nesdis.noaa.gov/DSCOVR. Photo credit: NASA/Ben Smegelsky

  14. KSC-2015-1364

    NASA Image and Video Library

    2015-02-11

    NOAA’s Deep Space Climate Observatory spacecraft, or DSCOVR, gets a boost into space aboard the SpaceX Falcon 9 rocket. Liftoff from Space Launch Complex 40 at Cape Canaveral Air Force Station in Florida occurred at 6:03 p.m. EST. DSCOVR is a partnership between NOAA, NASA and the U.S. Air Force, and will maintain the nation's real-time solar wind monitoring capabilities. To learn more about DSCOVR, visit http://www.nesdis.noaa.gov/DSCOVR. Photo credit: NASA/Tony Gray and Tim Powers

  15. KSC-2015-1358

    NASA Image and Video Library

    2015-02-11

    NOAA’s Deep Space Climate Observatory spacecraft, or DSCOVR, is boosted into space aboard the SpaceX Falcon 9 rocket. Liftoff from Space Launch Complex 40 at Cape Canaveral Air Force Station in Florida occurred at 6:03 p.m. EST. DSCOVR is a partnership between NOAA, NASA and the U.S. Air Force, and will maintain the nation's real-time solar wind monitoring capabilities. To learn more about DSCOVR, visit http://www.nesdis.noaa.gov/DSCOVR. Photo credit: NASA/Tony Gray and Tim Powers

  16. KSC-2015-1339

    NASA Image and Video Library

    2015-02-11

    Lit by the glow of sunset, the SpaceX Falcon 9 rocket climbs away from Space Launch Complex 40 at Florida’s Cape Canaveral Air Force Station. On board is NOAA’s Deep Space Climate Observatory spacecraft, or DSCOVR. Liftoff occurred at 6:03 p.m. EST. DSCOVR is a partnership between NOAA, NASA and the U.S. Air Force, and will maintain the nation's real-time solar wind monitoring capabilities. To learn more about DSCOVR, visit http://www.nesdis.noaa.gov/DSCOVR. Photo credit: NASA/Kim Shiflett

  17. KSC-2015-1337

    NASA Image and Video Library

    2015-02-11

    Sunset colors the horizon to the east as the SpaceX Falcon 9 rocket climbs away from Space Launch Complex 40 at Florida’s Cape Canaveral Air Force Station. On board is NOAA’s Deep Space Climate Observatory spacecraft, or DSCOVR. Liftoff occurred at 6:03 p.m. EST. DSCOVR is a partnership between NOAA, NASA and the U.S. Air Force, and will maintain the nation's real-time solar wind monitoring capabilities. To learn more about DSCOVR, visit http://www.nesdis.noaa.gov/DSCOVR. Photo credit: NASA/Kim Shiflett

  18. KSC-2015-1328

    NASA Image and Video Library

    2015-02-10

    Birds fly past the SpaceX Falcon 9 rocket standing on its seaside launch pad at Space Launch Complex 40 on Cape Canaveral Air Force Station in Florida. The rocket is set to launch NOAA’s Deep Space Climate Observatory spacecraft, or DSCOVR. The mission is a partnership between NOAA, NASA and the U.S. Air Force, and will maintain the nation's real-time solar wind monitoring capabilities. To learn more about DSCOVR, visit http://www.nesdis.noaa.gov/DSCOVR. Photo credit: NASA/Ben Smegelsky

  19. KSC-2015-1336

    NASA Image and Video Library

    2015-02-11

    The glow of sunset illuminates the SpaceX Falcon 9 rocket as it soars away from Space Launch Complex 40 at Cape Canaveral Air Force Station in Florida carrying NOAA’s Deep Space Climate Observatory spacecraft, or DSCOVR. Liftoff occurred at 6:03 p.m. EST. DSCOVR is a partnership between NOAA, NASA and the U.S. Air Force, and will maintain the nation's real-time solar wind monitoring capabilities. To learn more about DSCOVR, visit http://www.nesdis.noaa.gov/DSCOVR. Photo credit: NASA/Kim Shiflett

  20. KSC-2015-1360

    NASA Image and Video Library

    2015-02-11

    The SpaceX Falcon 9 rocket’s nine first-stage engines burn brightly during the launch of NOAA’s Deep Space Climate Observatory spacecraft, or DSCOVR, from Space Launch Complex 40 at Cape Canaveral Air Force Station in Florida. Liftoff occurred at 6:03 p.m. EST. DSCOVR is a partnership between NOAA, NASA and the U.S. Air Force, and will maintain the nation's real-time solar wind monitoring capabilities. To learn more about DSCOVR, visit http://www.nesdis.noaa.gov/DSCOVR. Photo credit: NASA/Tony Gray and Tim Powers

  1. KSC-2015-1302

    NASA Image and Video Library

    2015-02-07

    CAPE CANAVERAL, Fla. – Col. D. Jason Cothern, Space Demonstrations Division chief at Kirtland Air Force Base in Albuquerque, New Mexico, listens to a question from a member of the news media during a briefing regarding NOAA’s Deep Space Climate Observatory spacecraft, or DSCOVR. DSCOVR will launch aboard a SpaceX Falcon 9 rocket. The mission is a partnership between NOAA, NASA and the U.S. Air Force. DSCOVR will maintain the nation's real-time solar wind monitoring capabilities which are critical to the accuracy and lead time of NOAA's space weather alerts and forecasts. To learn more about DSCOVR, visit http://www.nesdis.noaa.gov/DSCOVR. Photo credit: NASA/Kim Shiflett

  2. KSC-2015-1311

    NASA Image and Video Library

    2015-02-08

    CAPE CANAVERAL, Fla. – Sen. Bill Nelson, left, answers a question as former Vice President Al Gore looks on during a visit with news media at NASA’s Kennedy Space Center in Florida prior to the planned liftoff of NOAA’s Deep Space Climate Observatory spacecraft, or DSCOVR. DSCOVR will launch aboard a SpaceX Falcon 9 rocket. The mission is a partnership between NOAA, NASA and the U.S. Air Force. DSCOVR will maintain the nation's real-time solar wind monitoring capabilities which are critical to the accuracy and lead time of NOAA's space weather alerts and forecasts. To learn more about DSCOVR, visit http://www.nesdis.noaa.gov/DSCOVR. Photo credit: NASA/Kim Shiflett

  3. KSC-2015-1308

    NASA Image and Video Library

    2015-02-08

    CAPE CANAVERAL, Fla. – CAPE CANAVERAL, Fla. – Backdropped by a blue sky streaked with white clouds, the SpaceX Falcon 9 rocket set to launch NOAA’s Deep Space Climate Observatory spacecraft, or DSCOVR, is flanked by lightning masts at Space Launch Complex 40 at Cape Canaveral Air Force Station in Florida. DSCOVR is a partnership between NOAA, NASA and the U.S. Air Force. DSCOVR will maintain the nation's real-time solar wind monitoring capabilities which are critical to the accuracy and lead time of NOAA's space weather alerts and forecasts. To learn more about DSCOVR, visit http://www.nesdis.noaa.gov/DSCOVR. Photo credit: NASA/Kim Shiflett

  4. Third International Satellite Direct Broadcast Services User's Conference

    NASA Technical Reports Server (NTRS)

    Kamowski, J.; Vermillion, C.

    1988-01-01

    A workshop titled, The Third International Satellite Direct Broadcast Services User's Conference, jointly sponsored by NASA and NOAA/NESDIS was scheduled to be held June 20 to 24, 1988, at the International Hotel located at the Baltimore-Washington Airport. Details concerning the organizing of the conference are given.

  5. 15 CFR Appendix 1 to Part 960 - Filing Instructions and Information To Be Included in the Licensing Application

    Code of Federal Regulations, 2010 CFR

    2010-01-01

    ..., DEPARTMENT OF COMMERCE GENERAL REGULATIONS OF THE ENVIRONMENTAL DATA SERVICE LICENSING OF PRIVATE REMOTE... and Information Service (NESDIS), NOAA, Department of Commerce, 1335 East West Highway, Silver Spring... applicant's total indebtedness; (ix) A person upon who service of all documents may be made. (2) A...

  6. 15 CFR Appendix 1 to Part 960 - Filing Instructions and Information To Be Included in the Licensing Application

    Code of Federal Regulations, 2011 CFR

    2011-01-01

    ..., DEPARTMENT OF COMMERCE GENERAL REGULATIONS OF THE ENVIRONMENTAL DATA SERVICE LICENSING OF PRIVATE REMOTE... and Information Service (NESDIS), NOAA, Department of Commerce, 1335 East West Highway, Silver Spring... applicant's total indebtedness; (ix) A person upon who service of all documents may be made. (2) A...

  7. National Centers for Environmental Prediction

    Science.gov Websites

    albedos (testing) Vegetation types Soil texture Images of Snow files: NAM snow page The NESDIS/IMS snow /ice images On Hua-Lu Pan's home page (EMC/NCEP) On the NCAR/RAP Weather Data Page Related soil moisture web sites NCEP/NASA NDAS CPC Soil Moisture Monitoring and Prediction NOAA / National Weather

  8. Snpp CrIS Instrumental Status and Raw Data Record Quality Since the Mission

    NASA Astrophysics Data System (ADS)

    Jin, X.; Han, Y.; Sun, N.; Weng, F.; Wang, L.; Chen, Y.; Tremblay, D. A.

    2014-12-01

    The SNPP CrIS (cross-track infrared sounder) has been in service for more than two years. As the first operational interferometric hyper-spectral sounder onboard the new-generation polar-orbit meteorological satellite, CrIS's instrumental performance and data quality are widely concerned. NOAA/NESDIS/STAR CrIS Cal/Val team have been actively involved since the beginning of the mission. An intact record of the CrIS instrumental performance and raw data record (RDR) has been established. In this presentation, the continuous records of some critical indicators such as noise, gain, laser wavelength drifting and many other parameters related to the internal thermal status, are presented. It is found that the hardware performance is extremely stable in the past two years and the degradation is very small. These features make CrIS a great candidate for long-term climate studies. Moreover, the completeness of RDR data is another advantage of taking CrIS for climate studies. NOAA/NESDIS/STAR has recorded all of the CrIS RDR data since the launch and has been dedicated to improving the data quality.

  9. Anomalous event diagnosis for environmental satellite systems

    NASA Technical Reports Server (NTRS)

    Ramsay, Bruce H.

    1993-01-01

    The National Oceanic and Atmospheric Administration's (NOAA) National Environmental Satellite, Data, and Information Service (NESDIS) is responsible for the operation of the NOAA geostationary and polar orbiting satellites. NESDIS provides a wide array of operational meteorological and oceanographic products and services and operates various computer and communication systems on a 24-hour, seven days per week schedule. The Anomaly Reporting System contains a database of anomalous events regarding the operations of the Geostationary Operational Environmental Satellite (GOES), communication, or computer systems that have degraded or caused the loss of GOES imagery. Data is currently entered manually via an automated query user interface. There are 21 possible symptoms (e.g., No Data), and 73 possible causes (e.g., Sectorizer - World Weather Building) of an anomalous event. The determination of an event's cause(s) is made by the on-duty computer operator, who enters the event in a paper based daily log, and by the analyst entering the data into the reporting system. The determination of the event's cause(s) impacts both the operational status of these systems, and the performance evaluation of the on-site computer and communication operations contractor.

  10. Deep Space Climate Observatory (DSCOVR) lifted off from Cape Canaveral

    NASA Image and Video Library

    2015-02-13

    KSC-2015-1363 (02/11/2015) --- The SpaceX Falcon 9 rocket carrying NOAA’s Deep Space Climate Observatory spacecraft, or DSCOVR, lifts off from Space Launch Complex 40 at Cape Canaveral Air Force Station in Florida at 6:03 p.m. EST. DSCOVR is a partnership between NOAA, NASA and the U.S. Air Force, and will maintain the nation's real-time solar wind monitoring capabilities. To learn more about DSCOVR, visit www.nesdis.noaa.gov/DSCOVR. Photo credit: NASA/Tony Gray and Tim Powers

  11. KSC-2015-1332

    NASA Image and Video Library

    2015-02-11

    The SpaceX Falcon 9 rocket carrying NOAA’s Deep Space Climate Observatory spacecraft, or DSCOVR, rises in the background as the countdown clock at NASA’s Kennedy Space Center in Florida reads 44 seconds into flight. The Falcon 9 launched from Space Launch Complex 40 at Cape Canaveral Air Force Station at 6:03 p.m. EST. DSCOVR is a partnership between NOAA, NASA and the U.S. Air Force, and will maintain the nation's real-time solar wind monitoring capabilities. To learn more about DSCOVR, visit http://www.nesdis.noaa.gov/DSCOVR. Photo credit: NASA/Frankie Martin

  12. KSC-2015-1329

    NASA Image and Video Library

    2015-02-11

    Liftoff of the SpaceX Falcon 9 rocket carrying NOAA’s Deep Space Climate Observatory spacecraft, or DSCOVR, is visible in the realtime camera view on the countdown clock at NASA’s Kennedy Space Center in Florida. The Falcon 9 launched from Space Launch Complex 40 at Cape Canaveral Air Force Station at 6:03 p.m. EST. DSCOVR is a partnership between NOAA, NASA and the U.S. Air Force, and will maintain the nation's real-time solar wind monitoring capabilities. To learn more about DSCOVR, visit http://www.nesdis.noaa.gov/DSCOVR. Photo credit: NASA/Frankie Martin

  13. KSC-2015-1331

    NASA Image and Video Library

    2015-02-11

    The countdown clock at NASA’s Kennedy Space Center in Florida reads 30 seconds into flight of the SpaceX Falcon 9 rocket carrying NOAA’s Deep Space Climate Observatory spacecraft, or DSCOVR, seen rising in the background. The Falcon 9 launched from Space Launch Complex 40 at Cape Canaveral Air Force Station at 6:03 p.m. EST. DSCOVR is a partnership between NOAA, NASA and the U.S. Air Force, and will maintain the nation's real-time solar wind monitoring capabilities. To learn more about DSCOVR, visit http://www.nesdis.noaa.gov/DSCOVR. Photo credit: NASA/Frankie Martin

  14. Deep Space Climate Observatory (DSCOVR) lifted off from Cape Canaveral

    NASA Image and Video Library

    2015-02-13

    KSC-2015-1342 (02/11/2015) --- Backdropped by a bright blue sky, the SpaceX Falcon 9 rocket carrying NOAA’s Deep Space Climate Observatory spacecraft, or DSCOVR, soars away from Space Launch Complex 40 at Cape Canaveral Air Force Station in Florida. Liftoff occurred at 6:03 p.m. EST. DSCOVR is a partnership between NOAA, NASA and the U.S. Air Force, and will maintain the nation's real-time solar wind monitoring capabilities. To learn more about DSCOVR, visit www.nesdis.noaa.gov/DSCOVR. Photo credit: NASA/Ben Smegelsky..

  15. Deep Space Climate Observatory (DSCOVR) lifted off from Cape Canaveral

    NASA Image and Video Library

    2015-02-13

    Open Image KSC-2015-1368.KSC-2015-1368 (02/11/2015) --- The SpaceX Falcon 9 rocket carrying NOAA’s Deep Space Climate Observatory spacecraft, or DSCOVR, lifts off from Space Launch Complex 40 at Cape Canaveral Air Force Station in Florida. Liftoff occurred at 6:03 p.m. EST. DSCOVR is a partnership between NOAA, NASA and the U.S. Air Force, and will maintain the nation's real-time solar wind monitoring capabilities. To learn more about DSCOVR, visit www.nesdis.noaa.gov/DSCOVR. Photo credit: NASA/Tony Gray and Tim Powers

  16. KSC-2015-1240

    NASA Image and Video Library

    2015-01-18

    CAPE CANAVERAL, Fla. – Preparations to launch NOAA’s Deep Space Climate Observatory spacecraft, or DSCOVR, near completion in the Building 1 high bay of the Astrotech payload processing facility in Titusville, Florida, near Kennedy Space Center. DSCOVR is a partnership between NOAA, NASA and the U.S. Air Force. DSCOVR will maintain the nation's real-time solar wind monitoring capabilities which are critical to the accuracy and lead time of NOAA's space weather alerts and forecasts. Launch is targeted for no earlier than Feb. 8 aboard a SpaceX Falcon 9 v 1.1 launch vehicle from Cape Canaveral Air Force Station, Florida. To learn more about DSCOVR, visit http://www.nesdis.noaa.gov/DSCOVR. Photo credit: NASA/Kim Shiflett

  17. KSC-2015-1310

    NASA Image and Video Library

    2015-02-08

    CAPE CANAVERAL, Fla. – Members of the news media listen and take photos at NASA’s Kennedy Space Center in Florida as Sen. Bill Nelson, left, and former Vice President Al Gore, right, answer questions prior to the planned liftoff of NOAA’s Deep Space Climate Observatory spacecraft, or DSCOVR. DSCOVR will launch aboard a SpaceX Falcon 9 rocket. The mission is a partnership between NOAA, NASA and the U.S. Air Force. DSCOVR will maintain the nation's real-time solar wind monitoring capabilities which are critical to the accuracy and lead time of NOAA's space weather alerts and forecasts. To learn more about DSCOVR, visit http://www.nesdis.noaa.gov/DSCOVR. Photo credit: NASA/Kim Shiflett

  18. KSC-2014-4580

    NASA Image and Video Library

    2014-11-24

    CAPE CANAVERAL, Fla. – Workers conduct a light test on the solar arrays on NOAA’s Deep Space Climate Observatory spacecraft, or DSCOVR, in the Building 1 high bay at the Astrotech payload processing facility in Titusville, Florida, near Kennedy Space Center. DSCOVR is a partnership between NOAA, NASA and the U.S. Air Force. DSCOVR will maintain the nation's real-time solar wind monitoring capabilities which are critical to the accuracy and lead time of NOAA's space weather alerts and forecasts. Launch is targeted for early 2015 aboard a SpaceX Falcon 9 v 1.1 launch vehicle from Cape Canaveral Air Force Station, Florida. To learn more about DSCOVR, visit http://www.nesdis.noaa.gov/DSCOVR. Photo credit: NASA/Ben Smegelsky

  19. KSC-2014-4578

    NASA Image and Video Library

    2014-11-24

    CAPE CANAVERAL, Fla. – The solar arrays on NOAA’s Deep Space Climate Observatory spacecraft, or DSCOVR, are unfurled in the Building 1 high bay at the Astrotech payload processing facility in Titusville, Florida, near Kennedy Space Center. DSCOVR is a partnership between NOAA, NASA and the U.S. Air Force. DSCOVR will maintain the nation's real-time solar wind monitoring capabilities which are critical to the accuracy and lead time of NOAA's space weather alerts and forecasts. Launch is targeted for early 2015 aboard a SpaceX Falcon 9 v 1.1 launch vehicle from Cape Canaveral Air Force Station, Florida. To learn more about DSCOVR, visit http://www.nesdis.noaa.gov/DSCOVR. Photo credit: NASA/Ben Smegelsky

  20. KSC-2014-4582

    NASA Image and Video Library

    2014-11-24

    CAPE CANAVERAL, Fla. – Workers conduct a light test on the solar arrays on NOAA’s Deep Space Climate Observatory spacecraft, or DSCOVR, in the Building 1 high bay at the Astrotech payload processing facility in Titusville, Florida, near Kennedy Space Center. DSCOVR is a partnership between NOAA, NASA and the U.S. Air Force. DSCOVR will maintain the nation's real-time solar wind monitoring capabilities which are critical to the accuracy and lead time of NOAA's space weather alerts and forecasts. Launch is targeted for early 2015 aboard a SpaceX Falcon 9 v 1.1 launch vehicle from Cape Canaveral Air Force Station, Florida. To learn more about DSCOVR, visit http://www.nesdis.noaa.gov/DSCOVR. Photo credit: NASA/Ben Smegelsky

  1. KSC-2014-4581

    NASA Image and Video Library

    2014-11-24

    CAPE CANAVERAL, Fla. – Workers conduct a light test on the solar arrays on NOAA’s Deep Space Climate Observatory spacecraft, or DSCOVR, in the Building 1 high bay at the Astrotech payload processing facility in Titusville, Florida, near Kennedy Space Center. DSCOVR is a partnership between NOAA, NASA and the U.S. Air Force. DSCOVR will maintain the nation's real-time solar wind monitoring capabilities which are critical to the accuracy and lead time of NOAA's space weather alerts and forecasts. Launch is targeted for early 2015 aboard a SpaceX Falcon 9 v 1.1 launch vehicle from Cape Canaveral Air Force Station, Florida. To learn more about DSCOVR, visit http://www.nesdis.noaa.gov/DSCOVR. Photo credit: NASA/Ben Smegelsky

  2. KSC-2015-1241

    NASA Image and Video Library

    2015-01-18

    CAPE CANAVERAL, Fla. – Preparations to launch NOAA’s Deep Space Climate Observatory spacecraft, or DSCOVR, near completion in the Building 1 high bay of the Astrotech payload processing facility in Titusville, Florida, near Kennedy Space Center. DSCOVR is a partnership between NOAA, NASA and the U.S. Air Force. DSCOVR will maintain the nation's real-time solar wind monitoring capabilities which are critical to the accuracy and lead time of NOAA's space weather alerts and forecasts. Launch is targeted for no earlier than Feb. 8 aboard a SpaceX Falcon 9 v 1.1 launch vehicle from Cape Canaveral Air Force Station, Florida. To learn more about DSCOVR, visit http://www.nesdis.noaa.gov/DSCOVR. Photo credit: NASA/Kim Shiflett

  3. KSC-2014-4568

    NASA Image and Video Library

    2014-11-20

    CAPE CANAVERAL, Fla. – NOAA’s Deep Space Climate Observatory spacecraft, or DSCOVR, has been uncovered and is ready for processing in the high bay of Building 1 at the Astrotech payload processing facility in Titusville, Florida, near Kennedy Space Center. DSCOVR is a partnership between NOAA, NASA and the U.S. Air Force. DSCOVR will maintain the nation's real-time solar wind monitoring capabilities which are critical to the accuracy and lead time of NOAA's space weather alerts and forecasts. Launch is currently scheduled for January 2015 aboard a SpaceX Falcon 9 v 1.1 launch vehicle from Cape Canaveral Air Force Station, Florida. To learn more about DSCOVR, visit http://www.nesdis.noaa.gov/DSCOVR. Photo credit: NASA/Kim Shiflett

  4. KSC-2015-1239

    NASA Image and Video Library

    2015-01-18

    CAPE CANAVERAL, Fla. – Preparations to launch NOAA’s Deep Space Climate Observatory spacecraft, or DSCOVR, near completion in the Building 1 high bay of the Astrotech payload processing facility in Titusville, Florida, near Kennedy Space Center. DSCOVR is a partnership between NOAA, NASA and the U.S. Air Force. DSCOVR will maintain the nation's real-time solar wind monitoring capabilities which are critical to the accuracy and lead time of NOAA's space weather alerts and forecasts. Launch is targeted for no earlier than Feb. 8 aboard a SpaceX Falcon 9 v 1.1 launch vehicle from Cape Canaveral Air Force Station, Florida. To learn more about DSCOVR, visit http://www.nesdis.noaa.gov/DSCOVR. Photo credit: NASA/Kim Shiflett

  5. KSC-2014-4547

    NASA Image and Video Library

    2014-11-20

    CAPE CANAVERAL, Fla. – A lifting device is attached to NOAA’s Deep Space Climate Observatory spacecraft, or DSCOVR, wrapped in plastic, to remove it from its transportation pallet at the Astrotech payload processing facility in Titusville, Florida, near Kennedy Space Center. DSCOVR is a partnership between NOAA, NASA and the U.S. Air Force. DSCOVR will maintain the nation's real-time solar wind monitoring capabilities which are critical to the accuracy and lead time of NOAA's space weather alerts and forecasts. Launch is currently scheduled for January 2015 aboard a SpaceX Falcon 9 v 1.1 launch vehicle from Cape Canaveral Air Force Station, Florida. To learn more about DSCOVR, visit http://www.nesdis.noaa.gov/DSCOVR. Photo credit: NASA/Kim Shiflett

  6. KSC-2014-4548

    NASA Image and Video Library

    2014-11-20

    CAPE CANAVERAL, Fla. – NOAA’s Deep Space Climate Observatory spacecraft, or DSCOVR, wrapped in plastic, is transferred from its transportation pallet to a portable work stand at the Astrotech payload processing facility in Titusville, Florida, near Kennedy Space Center. DSCOVR is a partnership between NOAA, NASA and the U.S. Air Force. DSCOVR will maintain the nation's real-time solar wind monitoring capabilities which are critical to the accuracy and lead time of NOAA's space weather alerts and forecasts. Launch is currently scheduled for January 2015 aboard a SpaceX Falcon 9 v 1.1 launch vehicle from Cape Canaveral Air Force Station, Florida. To learn more about DSCOVR, visit http://www.nesdis.noaa.gov/DSCOVR. Photo credit: NASA/Kim Shiflett

  7. Merging the MODIS and NESDIS Monthly Snow-Cover Records to Study Decade-Scale Changes in Northern Hemisphere Snow Cover

    NASA Technical Reports Server (NTRS)

    Hall, Dorothy K.; Foster, James L.; Robinson, David A.; Riggs, George A.

    2004-01-01

    A decade-scale record of Northern Hemisphere snow cover has been available from the National Oceanic and Atmospheric Administration (NOAA) National Environmental Satellite Data and Information Service (NESDIS) and has been reconstructed and validated by Rutgers University following adjustments for inconsistencies that were discovered in the early years of the data set. This record provides weekly, monthly (and, in recent years, daily) snow cover from 1966 to the present for the Northern Hemisphere. With the December 1999 launch of NASA's Earth observing System (EOS) Terra satellite, snow maps are being produced globally, using automated algorithms, on a daily, weekly and monthly basis from the Moderate-Resolution Imaging Spectroradiometer (MODIS) instrument. The resolution of the MODIS monthly snow maps (0.05deg or about 5 km) is an improvement over that of the NESDIS-derived monthly snow maps (>approx.10 km) the maps, it is necessary to study the datasets carefully to determine if it is possible to merge the datasets into a continuous record. The months in which data are available for both the NESDIS and MODIS maps (March 2000 to the present) will be compared quantitatively to analyze differences in North American and Eurasian snow cover. Results from the NESDIS monthly maps show that for North America (including all 12 months), there is a trend toward slightly less snow cover in each succeeding decade. Interannual snow-cover extent has varied significantly since 2000 as seen in both the NESDIS and MODIS maps. As the length of the satellite record increases through the MODIS era, and into the National Polar-orbiting Environmental Satellite System (NPOESS) era, it should become easier to identify trends in areal extent of snow cover, if present, that may have climatic significance. Thus it is necessary to analyze the validity of merging the NESDIS and MODIS, and, in the future, the NPOESS datasets for determination of long-term continuity in measurement of Northern Hemisphere snow cover.

  8. Global drought watch from space at work: Crop losses and food security

    NASA Astrophysics Data System (ADS)

    Kogan, F.

    2012-12-01

    Drought is one of the most adverse environmental disasters. It affects countries economies, environment a very large number of people in the world. Only in the USA drought costs taxpayers nearly $6 billion each year. Drought is a very unusual phenomenon because unlike other environmental disaster it starts unnoticeably, develop cumulatively, the impact is also cumulative and by the time when the effect of drought is observable it is too late to mitigate the consequences. Therefore, it is difficult to mitigate droughts using in situ data. The National Oceanic and Atmospheric Administration (NOAA) developed new method for drought detection and monitoring from reflectance measured by the Advanced Very High Resolution Radiometer flown on NOAA polar-orbiting operational environmental satellites. The method calculates Vegetation Health (VH) indices, which estimate vegetation condition (health) on a scale from extreme stress to favorable conditions based on intensity of greenness, vigor and thermal condition of vegetation canopy. The VH is estimated every week for each 4 by 4 km earth surface and is delivered to the NOAA/NESDIS web site in digital and color-coded form. The web site address is the following http://www.star.nesdis.noaa.gov/smcd/emb/vci/VH/index.php In addition to drought and vegetation health monitoring, the VH indices are applied in agriculture, forestry, mosquito-borne diseases, climate, invasive species and others. During the first seven months of 2009, drought was observed in the southern US (especially Texas), Argentina (very intensive drought), some of the countries of sub-Sahara Africa, India (central and eastern), Kazakhstan and Australia.

  9. Investigation of cloud/water vapor motion winds from geostationary satellite

    NASA Technical Reports Server (NTRS)

    1993-01-01

    This report summarizes the research work accomplished on the NASA grant contract NAG8-892 during 1992. Research goals of this contract are the following: to complete upgrades to the Cooperative Institute for Meteorological Satellite Studies (CIMSS) wind system procedures for assigning heights and incorporating first guess information; to evaluate these modifications using simulated tracer fields; to add an automated quality control system to minimize the need for manual editing, while maintaining product quality; and to benchmark the upgraded algorithm in tests with NMC and/or MSFC. Work progressed on all these tasks and is detailed. This work was done in collaboration with CIMSS NOAA/NESDIS scientists working on the operational winds software, so that NASA funded research can benefit NESDIS operational algorithms.

  10. KSC-2015-1330

    NASA Image and Video Library

    2015-02-11

    The SpaceX Falcon 9 rocket carrying NOAA’s Deep Space Climate Observatory spacecraft, or DSCOVR, rises above the treeline as a realtime camera view of the launch is visible on the countdown clock at NASA’s Kennedy Space Center in Florida. The Falcon 9 launched from Space Launch Complex 40 at Cape Canaveral Air Force Station at 6:03 p.m. EST. DSCOVR is a partnership between NOAA, NASA and the U.S. Air Force, and will maintain the nation's real-time solar wind monitoring capabilities. To learn more about DSCOVR, visit http://www.nesdis.noaa.gov/DSCOVR. Photo credit: NASA/Frankie Martin

  11. KSC-2014-4545

    NASA Image and Video Library

    2014-11-20

    CAPE CANAVERAL, Fla. – NOAA’s Deep Space Climate Observatory spacecraft, or DSCOVR, wrapped in plastic, comes into view as the protective shipping container is lifted from around the spacecraft at the Astrotech payload processing facility in Titusville, Florida, near Kennedy Space Center. DSCOVR is a partnership between NOAA, NASA and the U.S. Air Force. DSCOVR will maintain the nation's real-time solar wind monitoring capabilities which are critical to the accuracy and lead time of NOAA's space weather alerts and forecasts. Launch is currently scheduled for January 2015 aboard a SpaceX Falcon 9 v 1.1 launch vehicle from Cape Canaveral Air Force Station, Florida. To learn more about DSCOVR, visit http://www.nesdis.noaa.gov/DSCOVR. Photo credit: NASA/Kim Shiflett

  12. KSC-2014-4555

    NASA Image and Video Library

    2014-11-20

    CAPE CANAVERAL, Fla. – Workers are on hand to receive NOAA’s Deep Space Climate Observatory spacecraft, or DSCOVR, wrapped in plastic and secured onto a portable work stand, into the high bay of Building 1 at the Astrotech payload processing facility in Titusville, Florida, near Kennedy Space Center. DSCOVR is a partnership between NOAA, NASA and the U.S. Air Force. DSCOVR will maintain the nation's real-time solar wind monitoring capabilities which are critical to the accuracy and lead time of NOAA's space weather alerts and forecasts. Launch is currently scheduled for January 2015 aboard a SpaceX Falcon 9 v 1.1 launch vehicle from Cape Canaveral Air Force Station, Florida. To learn more about DSCOVR, visit http://www.nesdis.noaa.gov/DSCOVR. Photo credit: NASA/Kim Shiflett

  13. Meteorological Satellite Education Resources: Web-based Learning Modules, Initiatives, and the Environmental Satellite Resource Center (ESRC)

    NASA Astrophysics Data System (ADS)

    Schreiber-Abshire, W.; Dills, P.

    2008-12-01

    The COMET® Program (www.comet.ucar.edu) receives funding from NOAA NESDIS and the NPOESS Integrated Program Office (IPO), with additional contributions from the GOES-R Program Office and EUMETSAT, to directly support education and training efforts in the area of satellite meteorology. This partnership enables COMET to create educational materials of global interest on geostationary and polar- orbiting remote sensing platforms and their instruments, data, products, and operational applications. Over the last several years, COMET's satellite education programs have focused on the capabilities and applications of the upcoming next generation operational polar-orbiting NPP/NPOESS system and its relevance to operational forecasters and other user communities. COMET's activities have recently expanded to include education on the future Geostationary Operational Environmental Satellites (GOES-R). By partnering with experts from the Naval Research Laboratory, NOAA-NESDIS and various user communities, COMET stimulates greater utilization of both current and future satellite observations and products. In addition, COMET has broadened the scope of its online training to include materials on the EUMETSAT Polar-orbiting System (EPS) and Meteosat geostationary satellites. EPS represents an important contribution to the Initial Joint Polar System (IJPS) between NOAA and EUMETSAT, while Meteosat imaging capabilities provide an early look for the next generation GOES-R satellites. Also in collaboration with EUMETSAT, COMET is developing future modules on the joint NASA-CNES Jason altimetry mission and on satellite capabilities for monitoring the global climate. COMET also provides Spanish translations of relevant GOES materials in order to support the GEOSS (Global Earth Observation System of Systems) Americas effort, which is associated with the move of GOES-10 to provide routine satellite coverage over South America. This poster presentation provides an overview of COMET's recent satellite training efforts and publications, highlighting new materials relevant to both polar-orbiting and geostationary satellites. The presentation also showcases COMET's new community-drive Website, the Environmental Satellite Resource Center (ESRC), sponsored by the NPOESS IPO, NOAA, and NESDIS. The ESRC (www.meted.ucar.edu/ESRC) provides search capabilities and free access to a wide range of polar-orbiting and geostationary satellite information and training resources from multiple trusted sources, including MetEd (www.meted.ucar.edu).

  14. The Evolution of Operational Satellite Based Remote Sensing in Support of Weather Analysis, Nowcasting, and Hazard Mitigation

    NASA Astrophysics Data System (ADS)

    Hughes, B. K.

    2010-12-01

    The mission of the National Oceanic and Atmospheric Administration (NOAA) National Environmental Data Information Service (NESDIS) is to provide timely access to global environmental data from satellites and other sources to promote, protect, and enhance America’s economy, security, environment, and quality of life. To fulfill its responsibilities, NESDIS acquires and manages America’s operational environmental satellites, operates the NOAA National Data Centers, provides data and information services including Earth system monitoring, performs official assessments of the environment, and conducts related research. The Nation’s fleet of operational environmental satellites has proven to be very critical in the detection, analysis, and forecast of natural or man-made phenomena. These assets have provided for the protection of people and property while safeguarding the Nation’s commerce and enabling safe and effective military operations. This presentation will take the audience through the evolution of operational satellite based remote sensing in support of weather forecasting, nowcasting, warning operations, hazard detection and mitigation. From the very first experiments involving radiation budget to today’s fleet of Geostationary and Polar Orbiting satellites to tomorrow’s constellation of high resolution imagers and hyperspectral sounders, environmental satellites sustain key observations for current and future generations.

  15. Monitoring Land Based Sources of Pollution over Coral Reefs using VIIRS Ocean Color Products

    NASA Astrophysics Data System (ADS)

    Geiger, E.; Strong, A. E.; Eakin, C. M.; Wang, M.; Hernandez, W. J.; Cardona Maldonado, M. A.; De La Cour, J. L.; Liu, G.; Tirak, K.; Heron, S. F.; Skirving, W. J.; Armstrong, R.; Warner, R. A.

    2016-02-01

    NOAA's Coral Reef Watch (CRW) program and the NESDIS Ocean Color Team are developing new products to monitor land based sources of pollution (LBSP) over coral reef ecosystems using the Visible Infrared Imaging Radiometer Suite (VIIRS) onboard the S-NPP satellite. LBSP are a major threat to corals that can cause disease and mortality, disrupt critical ecological reef functions, and impede growth, reproduction, and larval settlement, among other impacts. From VIIRS, near-real-time satellite products of Chlorophyll-a, Kd(490), and sea surface temperature are being developed for three U.S. Coral Reef Task Force priority watershed sites - Ka'anapali (West Maui, Hawai'i), Faga'alu (American Samoa), and Guánica Bay (Puerto Rico). Background climatological levels of these parameters are being developed to construct anomaly products. Time-series data are being generated to monitor changes in water quality in near-real-time and provide information on historical variations, especially following significant rain events. A pilot calibration/validation field study of the VIIRS-based ocean color products is underway in Puerto Rico; we plan to expand this validation effort to the other two watersheds. Working with local resource managers, we have identified a focal area for product development and validation for each watershed and its associated local reefs. This poster will present preliminary results and identify a path forward to ensure marine resource managers understand and correctly use the new ocean color products, and to help NOAA CRW refine its satellite products to maximize their benefit to coral reef management. NOAA - National Oceanic and Atmospheric Administration NESDIS - NOAA/National Environmental Satellite, Data, and Information Service S-NPP - Suomi National Polar-orbiting Partnership

  16. AVHRR, MODIS, and VIIRS radiometric stability and consistency in SST bands

    NASA Astrophysics Data System (ADS)

    Liang, XingMing; Ignatov, Alexander

    2013-06-01

    Monitoring of IR Clear-Sky Radiances over Oceans for SST (MICROS; www.star.nesdis.noaa.gov/sod/sst/micros) is NESDIS near-real time web-based radiance monitoring system. It analyzes Model (Community Radiative Transfer Model, CRTM) minus Observation (M-O) biases in brightness temperatures (BT) in three bands centered at 3.7 (IR37), 11 (IR11), and 12 µm (IR12), for several AVHRR (NOAA-16, -17, -18, -19, Metop-A, -B), VIIRS (Suomi National Polar Partnership, S-NPP), and MODIS (Terra, Aqua) sensors. Double-differences (DD) are employed to check BTs for radiometric stability and consistency. All sensors are stable, with the exception of two AVHRRs, onboard NOAA-16 and to a lesser extent NOAA-18, and generally consistent. VIIRS onboard S-NPP, launched in October 2011, is well in-family, especially after its calibration was fine-tuned on 7 March 2012. MODIS M-O biases were initially out-of-family by up to -0.6 K, due to incorrect CRTM transmittance coefficients. Following MICROS feedback, CRTM Team updated coefficients and brought MODIS back in-family. Terra and Aqua BTs are very consistent in IR11 and IR12 but show cross-platform bias of 0.3 K in IR37, likely attributed to MODIS characterization. Work with MODIS Characterization Support Team is underway to resolve this. Initial analyses of AVHRR onboard Metop-B launched in September 2012 suggest that its BTs are offset from Metop-A by up to ˜0.3 K. Overall, MICROS DDs are well suited to evaluate the sensors stability, but dedicated effort is needed to ensure consistent radiative transfer modeling (RTM) calculations for various sensors before DDs can be used in Global Space-based Inter-Calibration System (GSICS) quantitative applications.

  17. KSC-2015-1299

    NASA Image and Video Library

    2015-02-07

    CAPE CANAVERAL, Fla. – A prelaunch briefing at NASA’s Kennedy Space Center in Florida brings media up to date on preparations for the liftoff of NOAA’s Deep Space Climate Observatory spacecraft, or DSCOVR. From left are Michael Curie, moderator, NASA Public Affairs, Stephen Volz, assistant administrator of the NOAA Satellite and Information Service, Tom Berger, director of the NOAA Space Weather Prediction Center, Steven Clarke, NASA Joint Agency Satellite Division director for the agency’s Science Mission Directorate, Col. D. Jason Cothern, Space Demonstrations Division chief at Kirtland Air Force Base in Albuquerque, New Mexico, and Hans Koenigsmann, vice president of mission assurance at SpaceX. DSCOVR will launch aboard a SpaceX Falcon 9 rocket. The mission is a partnership between NOAA, NASA and the U.S. Air Force. DSCOVR will maintain the nation's real-time solar wind monitoring capabilities which are critical to the accuracy and lead time of NOAA's space weather alerts and forecasts. To learn more about DSCOVR, visit http://www.nesdis.noaa.gov/DSCOVR. Photo credit: NASA/Jim Grossman

  18. NOAA/NESDIS Operational Sounding Processing Systems using the hyperspectral and microwaves sounders data from CrIS/ATMS, IASI/AMSU, and ATOVS

    NASA Astrophysics Data System (ADS)

    Sharma, A. K.

    2016-12-01

    The current operational polar sounding systems running at the National Oceanic and Atmospheric Administration (NOAA) National Environmental Satellite Data and Information Service (NESDIS) for processing the sounders data from the Cross-track Infrared (CrIS) onboard the Suomi National Polar-orbiting Partnership (SNPP) under the Joint Polar Satellite System (JPSS) program; the Infrared Atmospheric Sounding Interferometer (IASI) onboard Metop-1 and Metop-2 satellites under the program managed by the European Organization for the Exploitation of Meteorological (EUMETSAT); and the Advanced TIROS (Television and Infrared Observation Satellite) Operational Vertical Sounding (ATOVS) onboard NOAA-19 in the NOAA series of Polar Orbiting Environmental Satellites (POES), Metop-1 and Metop-2. In a series of advanced operational sounders CrIS and IASI provide more accurate, detailed temperature and humidity profiles; trace gases such as ozone, nitrous oxide, carbon dioxide, and methane; outgoing longwave radiation; and the cloud cleared radiances (CCR) on a global scale and these products are available to the operational user community. This presentation will highlight the tools developed for the NOAA Unique Combined Atmospheric Processing System (NUCAPS), which will discuss the Environmental Satellites Processing Center (ESPC) system architecture involving sounding data processing and distribution for CrIS, IASI, and ATOVS sounding products. Discussion will also include the improvements made for data quality measurements, granule processing and distribution, and user timeliness requirements envisioned from the next generation of JPSS and GOES-R satellites. There have been significant changes in the operational system due to system upgrades, algorithm updates, and value added data products and services. Innovative tools to better monitor performance and quality assurance of the operational sounder and imager products from the CrIS/ATMS, IASI and ATOVS have been developed and deployed at the Office of Satellite and Product Operations (OSPO). The incorporation of these tools in the OSPO operation has facilitated the diagnosis and resolution of problems when detected in the operational environment.

  19. KSC-2014-4553

    NASA Image and Video Library

    2014-11-20

    CAPE CANAVERAL, Fla. – Workers monitor NOAA’s Deep Space Climate Observatory spacecraft, or DSCOVR, wrapped in plastic and secured onto a portable work stand, as it travels between the airlock of Building 2 to the high bay of Building 1 at the Astrotech payload processing facility in Titusville, Florida, near Kennedy Space Center. DSCOVR is a partnership between NOAA, NASA and the U.S. Air Force. DSCOVR will maintain the nation's real-time solar wind monitoring capabilities which are critical to the accuracy and lead time of NOAA's space weather alerts and forecasts. Launch is currently scheduled for January 2015 aboard a SpaceX Falcon 9 v 1.1 launch vehicle from Cape Canaveral Air Force Station, Florida. To learn more about DSCOVR, visit http://www.nesdis.noaa.gov/DSCOVR. Photo credit: NASA/Kim Shiflett

  20. KSC-2014-4552

    NASA Image and Video Library

    2014-11-20

    CAPE CANAVERAL, Fla. – Workers transfer NOAA’s Deep Space Climate Observatory spacecraft, or DSCOVR, wrapped in plastic and secured onto a portable work stand, from the airlock of Building 2 to the high bay of Building 1 at the Astrotech payload processing facility in Titusville, Florida, near Kennedy Space Center. DSCOVR is a partnership between NOAA, NASA and the U.S. Air Force. DSCOVR will maintain the nation's real-time solar wind monitoring capabilities which are critical to the accuracy and lead time of NOAA's space weather alerts and forecasts. Launch is currently scheduled for January 2015 aboard a SpaceX Falcon 9 v 1.1 launch vehicle from Cape Canaveral Air Force Station, Florida. To learn more about DSCOVR, visit http://www.nesdis.noaa.gov/DSCOVR. Photo credit: NASA/Kim Shiflett

  1. Airborne Dust Monitoring Activities at the National Environmental Satellite, Data and Information Service

    NASA Astrophysics Data System (ADS)

    Stephens, G.; McNamara, D.; Taylor, J.

    2002-12-01

    Wind blown dust can be a hazard to transportation, industrial, and military operations, and much work has been devoted to its analysis and prediction from a meteorological viewpoint. The detection and forecasting of dust outbreaks in near real time is difficult, particularly in remote desert areas with sparse observation networks. The Regional Haze Regulation, passed by Congress in 1999, mandates a reduction in man made inputs to haze in 156 Class I areas (national parks and wilderness areas). Studies have demonstrated that satellite data can be useful in detection and tracking of dust storms. Environmental satellites offer frequent coverage of large geographic areas. The National Environmental Satellite, Data, and Information Service (NESDIS) of the U.S. National Oceanic and Atmospheric Administration (NOAA) operates a system of polar orbiting and geostationary environmental satellites, which sense data in two visible and three infrared channels. Promising results in the detection of airborne dust have been obtained using multispectral techniques to combine information from two or more channels to detect subtle spectral differences. One technique, using a ratio of two thermal channels, detects the presence of airborne dust, and discriminates it from both underlying ground and meteorological clouds. In addition, NESDIS accesses and is investigating for operational use data from several other satellites. The Total Ozone Mapping Spectrometer on board NASA's Earth Probe mission provides an aerosol index product which can detect dust and smoke, and the Moderate Resolution Imaging Spectroradiometer on NASA's Terra and Aqua satellites provide several channels which can detect aerosols in multispectral channel combinations. NESDIS, in cooperation with NOAA's Air Resources Laboratory, produces a daily smoke transport forecast, combining satellite derived smoke source points with a mathematical transport prediction model; such a scheme could be applied to other aerosol particles such as dust. Techniques effective for the monitoring of airborne dust are used operationally by NESDIS and the National Centers for Environmental Prediction at the Washington Volcanic Ash Advisory Center, which monitors the presence of airborne volcanic ash, optically similar to airborne dust.

  2. The NOAA Satellite Observing System Architecture Study

    NASA Technical Reports Server (NTRS)

    Volz, Stephen; Maier, Mark; Di Pietro, David

    2016-01-01

    NOAA is beginning a study, the NOAA Satellite Observing System Architecture (NSOSA) study, to plan for the future operational environmental satellite system that will follow GOES and JPSS, beginning about 2030. This is an opportunity to design a modern architecture with no pre-conceived notions regarding instruments, platforms, orbits, etc. The NSOSA study will develop and evaluate architecture alternatives to include partner and commercial alternatives that are likely to become available. The objectives will include both functional needs and strategic characteristics (e.g., flexibility, responsiveness, sustainability). Part of this study is the Space Platform Requirements Working Group (SPRWG), which is being commissioned by NESDIS. The SPRWG is charged to assess new or existing user needs and to provide relative priorities for observational needs in the context of the future architecture. SPRWG results will serve as input to the process for new foundational (Level 0 and Level 1) requirements for the next generation of NOAA satellites that follow the GOES-R, JPSS, DSCOVR, Jason-3, and COSMIC-2 missions.

  3. KSC-2015-1301

    NASA Image and Video Library

    2015-02-07

    CAPE CANAVERAL, Fla. – A prelaunch briefing at NASA’s Kennedy Space Center in Florida brings media up to date on preparations for the liftoff of NOAA’s Deep Space Climate Observatory spacecraft, or DSCOVR. From left are Michael Curie, moderator, NASA Public Affairs, Stephen Volz, assistant administrator of the NOAA Satellite and Information Service, Tom Berger, director of the NOAA Space Weather Prediction Center, Steven Clarke, NASA Joint Agency Satellite Division director for the agency’s Science Mission Directorate, Col. D. Jason Cothern, Space Demonstrations Division chief at Kirtland Air Force Base in Albuquerque, New Mexico, and Hans Koenigsmann, vice president of mission assurance at SpaceX, and Mike McAleenan, launch weather officer with the U.S. Air Force 45th Weather Squadron. DSCOVR will launch aboard a SpaceX Falcon 9 rocket. The mission is a partnership between NOAA, NASA and the U.S. Air Force. DSCOVR will maintain the nation's real-time solar wind monitoring capabilities which are critical to the accuracy and lead time of NOAA's space weather alerts and forecasts. To learn more about DSCOVR, visit http://www.nesdis.noaa.gov/DSCOVR. Photo credit: NASA/Kim Shiflett

  4. KSC-2015-1300

    NASA Image and Video Library

    2015-02-07

    CAPE CANAVERAL, Fla. – Launch and mission officials prepare for the start of a prelaunch briefing at NASA’s Kennedy Space Center in Florida regarding NOAA’s Deep Space Climate Observatory mission, or DSCOVR. From left are Michael Curie, moderator, NASA Public Affairs, Stephen Volz, assistant administrator of the NOAA Satellite and Information Service, Tom Berger, director of the NOAA Space Weather Prediction Center, Steven Clarke, NASA Joint Agency Satellite Division director for the agency’s Science Mission Directorate, Col. D. Jason Cothern, Space Demonstrations Division chief at Kirtland Air Force Base in Albuquerque, New Mexico, and Hans Koenigsmann, vice president of mission assurance at SpaceX, and Mike McAleenan, launch weather officer with the U.S. Air Force 45th Weather Squadron. DSCOVR will launch aboard a SpaceX Falcon 9 rocket. The mission is a partnership between NOAA, NASA and the U.S. Air Force. DSCOVR will maintain the nation's real-time solar wind monitoring capabilities which are critical to the accuracy and lead time of NOAA's space weather alerts and forecasts. To learn more about DSCOVR, visit http://www.nesdis.noaa.gov/DSCOVR. Photo credit: NASA/Kim Shiflett

  5. The National Oceanic and Atmospheric Administration (NOAA) Climate Services Portal: A New Centralized Resource for Distributed Climate Information

    NASA Astrophysics Data System (ADS)

    Burroughs, J.; Baldwin, R.; Herring, D.; Lott, N.; Boyd, J.; Handel, S.; Niepold, F.; Shea, E.

    2010-09-01

    With the rapid rise in the development of Web technologies and climate services across NOAA, there has been an increasing need for greater collaboration regarding NOAA's online climate services. The drivers include the need to enhance NOAA's Web presence in response to customer requirements, emerging needs for improved decision-making capabilities across all sectors of society facing impacts from climate variability and change, and the importance of leveraging climate data and services to support research and public education. To address these needs, NOAA (during fiscal year 2009) embarked upon an ambitious program to develop a NOAA Climate Services Portal (NCS Portal). Four NOAA offices are leading the effort: 1) the NOAA Climate Program Office (CPO), 2) the National Ocean Service's Coastal Services Center (CSC), 3) the National Weather Service's Climate Prediction Center (CPC), and 4) the National Environmental Satellite, Data, and Information Service's (NESDIS) National Climatic Data Center (NCDC). Other offices and programs are also contributing in many ways to the effort. A prototype NCS Portal is being placed online for public access in January 2010, http://www.climate.gov. This website only scratches the surface of the many climate services across NOAA, but this effort, via direct user engagement, will gradually expand the scope and breadth of the NCS Portal to greatly enhance the accessibility and usefulness of NOAA's climate data and services.

  6. Improvements in Cloud Remote Sensing from Fusing VIIRS and CrIS data

    NASA Astrophysics Data System (ADS)

    Heidinger, A. K.; Walther, A.; Lindsey, D. T.; Li, Y.; NOH, Y. J.; Botambekov, D.; Miller, S. D.; Foster, M. J.

    2016-12-01

    In the fall of 2016, NOAA began the operational production of cloud products from the S-NPP Visible and Infrared Imaging Radiometer Suite (VIIRS) using the NOAA Enterprise Algorithms. VIIRS, while providing unprecedented spatial resolution and imaging clarity, does lack certain IR channels that are beneficial to cloud remote sensing. At the UW Space Science and Engineering Center (SSEC), tools were written to generate the missing IR channels from the Cross Track Infrared Sounder (CrIS) and to map them into the VIIRS swath. The NOAA Enterprise Algorithms are also implemented into the NESDIS CLAVR-x system. CLAVR-x has been modified to use the fused VIIRS and CrIS data. This presentation will highlight the benefits offered by the CrIS data to the NOAA Enterprise Algorithms. In addition, these benefits also have enabled the generation of 3D cloud retrievals to support the request from the National Weather Service (NWS) for a Cloud Cover Layers product. Lastly, the benefits of using VIIRS and CrIS for achieving consistency with GOES-R will also be demonstrated.

  7. Wild Fire Emissions for the NOAA Operational HYSPLIT Smoke Model

    NASA Astrophysics Data System (ADS)

    Huang, H. C.; ONeill, S. M.; Ruminski, M.; Shafran, P.; McQueen, J.; DiMego, G.; Kondragunta, S.; Gorline, J.; Huang, J. P.; Stunder, B.; Stein, A. F.; Stajner, I.; Upadhayay, S.; Larkin, N. K.

    2015-12-01

    Particulate Matter (PM) generated from forest fires often lead to degraded visibility and unhealthy air quality in nearby and downstream areas. To provide near-real time PM information to the state and local agencies, the NOAA/National Weather Service (NWS) operational HYSPLIT (Hybrid Single Particle Lagrangian Integrated Trajectory Model) smoke modeling system (NWS/HYSPLIT smoke) provides the forecast of smoke concentration resulting from fire emissions driven by the NWS North American Model 12 km weather predictions. The NWS/HYSPLIT smoke incorporates the U.S. Forest Service BlueSky Smoke Modeling Framework (BlueSky) to provide smoke fire emissions along with the input fire locations from the NOAA National Environmental Satellite, Data, and Information Service (NESDIS)'s Hazard Mapping System fire and smoke detection system. Experienced analysts inspect satellite imagery from multiple sensors onboard geostationary and orbital satellites to identify the location, size and duration of smoke emissions for the model. NWS/HYSPLIT smoke is being updated to use a newer version of USFS BlueSky. The updated BlueSky incorporates the Fuel Characteristic Classification System version 2 (FCCS2) over the continental U.S. and Alaska. FCCS2 includes a more detailed description of fuel loadings with additional plant type categories. The updated BlueSky also utilizes an improved fuel consumption model and fire emission production system. For the period of August 2014 and June 2015, NWS/HYSPLIT smoke simulations show that fire smoke emissions with updated BlueSky are stronger than the current operational BlueSky in the Northwest U.S. For the same comparisons, weaker fire smoke emissions from the updated BlueSky were observed over the middle and eastern part of the U.S. A statistical evaluation of NWS/HYSPLIT smoke predicted total column concentration compared to NOAA NESDIS GOES EAST Aerosol Smoke Product retrievals is underway. Preliminary results show that using the newer version of BlueSky leads to improved performance of NWS/HYSPLIT-smoke for June 2015. These results are partially due to the default fuel loading selected for Canadian fires that lead to stronger fire emissions there. The use of more realistic Canadian fuel loading may improve NWS/HYSPLIT smoke forecast.

  8. COMET Program Training Offerings to Support S-NPP and JPSS Utilization

    NASA Astrophysics Data System (ADS)

    Abshire, W. E.; Dills, P. N.; Weingroff, M.

    2015-12-01

    Are you up to speed on how to exploit new S-NPP capabilities and products? If not, don't worry, because UCAR's COMET program has self-paced online educational materials that highlight the capabilities and applications of current and next-generation operational polar-orbiting and geostationary satellites. The COMET® Program (www.comet.ucar.edu) has long received funding from NOAA NESDIS as well as EUMETSAT and the Meteorological Service of Canada to support education and training in satellite meteorology. By partnering with experts from NOAA-NESDIS and its Cooperative Institutes, Meteorological Service of Canada, EUMETSAT, the Naval Research Laboratory and others, COMET's self-paced training stimulates greater use of current and future satellite observations and products. Right now, over 70 satellite-focused, self-paced, online materials are freely available in English via the MetEd Web site at http://meted.ucar.edu/topics/satellite. Additionally, quite a few lessons are also available in Spanish and French making training more easily accessible to an international audience. This presentation will focus on COMET's latest satellite training and education offerings that are directly applicable to data and products from the S-NPP and JPSS satellite series. A recommended set of lessons for users who wish to learn more will be highlighted, including excerpts from the newest materials on the Suomi NPP VIIRS imager and its applications, as well as advances in nighttime visible observation with the VIIRS Day-Night Band. We'll show how the lessons introduce users to the advances these systems bring to forecasting, numerical weather prediction, and environmental monitoring. Finally, new relevant training initiatives will also be presented.

  9. NOAA activities in support of in situ validation observations for satellite ocean color products and related ocean science research

    NASA Astrophysics Data System (ADS)

    Lance, V. P.; DiGiacomo, P. M.; Ondrusek, M.; Stengel, E.; Soracco, M.; Wang, M.

    2016-02-01

    The NOAA/STAR ocean color program is focused on "end-to-end" production of high quality satellite ocean color products. In situ validation of satellite data is essential to produce the high quality, "fit for purpose" ocean color products that support users and applications in all NOAA line offices, as well as external (both applied and research) users. The first NOAA/OMAO (Office of Marine and Aviation Operations) sponsored research cruise dedicated to VIIRS SNPP validation was completed aboard the NOAA Ship Nancy Foster in November 2014. The goals and objectives of the 2014 cruise are highlighted in the recently published NOAA/NESDIS Technical Report. A second dedicated validation cruise is planned for December 2015 and will have been completed by the time of this meeting. The goals and objectives of the 2015 cruise will be discussed in the presentation. Participants and observations made will be reported. The NOAA Ocean Color Calibration/Validation (Cal/Val) team also works collaboratively with others programs. A recent collaboration with the NOAA Ocean Acidification program on the East Coast Ocean Acidification (ECOA) cruise during June-July 2015, where biogeochemical and optical measurements were made together, allows for the leveraging of in situ observations for satellite validation and for their use in the development of future ocean acidification satellite products. Datasets from these cruises will be formally archived at NOAA and Digital Object Identifier (DOI) numbers will be assigned. In addition, the NOAA Coast/OceanWatch Program is working to establish a searchable database. The beta version will begin with cruise data and additional in situ calibration/validation related data collected by the NOAA Ocean Color Cal/Val team members. A more comprehensive searchable NOAA database, with contributions from other NOAA ocean observation platforms and cruise collaborations is envisioned. Progress on these activities will be reported.

  10. Development of an Aura Chemical Reanalysis in support Air Quality Applications

    NASA Astrophysics Data System (ADS)

    Pierce, R. B.; Lenzen, A.; Schaack, T.

    2015-12-01

    We present results of chemical data assimilation experiments utilizing the NOAA National Environmental Satellite, Data, and Information Service (NESDIS), University of Wisconsin Space Science and Engineering (SSEC) Real-time Air Quality Modeling System (RAQMS) in conjunction with the NOAA National Centers for Environmental Prediction (NCEP) Operational Gridpoint Statistical Interpolation (GSI) 3-dimensional variational data assimilation system. The impact of assimilating NASA Ozone Monitoring Instrument (OMI) total column ozone, OMI tropospheric nitrogen dioxide columns, and Microwave Limb Sounder (MLS) stratospheric ozone profiles on background ozone is assessed using measurements from the 2010 NSF High-performance Instrumented Airborne Platform for Environmental Research (HIAPER) Pole-to-Pole Observation (HIPPO) and NOAA California Nexus (CalNex) campaigns. Results show that the RAQMS/GSI Chemical Reanalysis is able to provide very good estimates of background ozone and large-scale ozone variability and is suitable for use in constraining regional air quality modeling activities. These experiments are being used to guide the development of a multi-year global chemical and aerosol reanalysis using NASA Aura and A-Train measurements to support air quality applications.

  11. JPSS Support to the Arctic Testbed

    NASA Astrophysics Data System (ADS)

    Layns, A. L.

    2017-12-01

    The Joint Polar Satellite System (JPSS) Proving Ground and Risk Reduction (PGRR) program facilitates initiatives to increase or improve the use and value of JPSS data products in user products, services, and application or service areas. Building on the success of the Fire and Smoke, River Ice and Flooding, and Sounding initiatives, the JPSS Arctic Initiative is the latest endeavor of the JPSS PGRR program to increase of the use of JPSS atmospheric and cryosphere products to improve NOAA's products and services in the Arctic. The major participants in the Arctic Initiative to date are the JPSS program office, National Ice Center (NIC), National Weather Service (NWS) Alaska Sea Ice Program (ASIP), and the National Environmental Satellite, Data, and Information Service (NESDIS) Center for Satellite Applications and Research (STAR). This paper will outline the initiative, the potential benefits of the JPSS data products in the Arctic, and the plans for a product demonstration in 2018 within the NOAA Arctic Testbed.

  12. NASA SPoRT JPSS PG Activities in Alaska

    NASA Technical Reports Server (NTRS)

    Berndt, Emily; Molthan, Andrew; Fuell, Kevin; McGrath, Kevin; Smith, Matt; LaFontaine, Frank; Leroy, Anita; White, Kris

    2018-01-01

    SPoRT (NASA's Short-term Prediction Research and Transition Center) has collaboratively worked with Alaska WFOs (Weather Forecast Offices) to introduce RGB (Red/Green/Blue false color image) imagery to prepare for NOAA-20 (National Oceanic and Atmospheric Administration, JPSS (Joint Polar Satellite System) series-20 satellite) VIIRS (Visible Infrared Imaging Radiometer Suite) and improve forecasting aviation-related hazards. Last R2O/O2R (Research-to-Operations/Operations-to-Research) steps include incorporating NOAA-20 VIIRS in RGB suite and fully transitioning client-side RGB processing to GINA (Geographic Information Network of Alaska) and Alaska Region. Alaska Region WFOs have been part of the successful R2O/O2R story to assess the use of NESDIS (National Environmental Satellite, Data, and Information Service) Snowfall Rate product in operations. SPoRT introduced passive microwave rain rate and IMERG (Integrated Multi-satellitE Retrievals for GPM (Global Precipitation Measurement)) (IMERG) to Alaska WFOs for use in radar-void areas and assessing flooding potential. SPoRT has been part of the multi-organization collaborative effort to introduce Gridded NUCAPS (NOAA Unique CrIS/ATMS (Crosstrack Infrared Sounder/Advanced Technology Microwave Sounder) Processing System) to the Anchorage CWSU (Center Weather Service Unit) to assess Cold Air Aloft events, [and as part of NOAA's PG (Product Generation) effort].

  13. MetEd Learning Resources from COMET: Assisting With User Readiness for the JPSS Era

    NASA Astrophysics Data System (ADS)

    Bol, A.; Page, E. M.; Dills, P. N.; Lee, T.; Weingroff, M.; Stevermer, A.

    2017-12-01

    The COMET® Program (www.comet.ucar.edu) is funded by NOAA NESDIS as well as EUMETSAT and the Meteorological Service of Canada to develop and deliver education and training in satellite meteorology. COMET's self-paced online training resources are freely available 24/7/365 via the MetEd Website (meted.ucar.edu) to help learners stay current regarding new instruments, capabilities, products and applications. Experts from NOAA-NESDIS and its Cooperative Institutes, the Meteorological Service of Canada, EUMETSAT, the Naval Research Laboratory and others, work with COMET staff to create lessons that encourage greater use of current and future satellite observations and products. As of fall 2017, over 90 satellite-focused, interactive lessons are available in English via the MetEd Web site at http://meted.ucar.edu/topics/satellite. Many of these lessons are also available in Spanish and French, with some Portuguese offerings also available, making learning resources more accessible to a larger international audience. This presentation will focus on COMET's satellite training offerings that are directly applicable to helping users learn more about the capabilities of the S-NPP and JPSS satellite series just in time for JPSS-1 becoming operational. MetEd's educational offerings include lessons on the VIIRS imager and its applications, and a recently updated lesson on nighttime visible observation using the VIIRS Day-Night Band. We'll show how the lessons introduce users to the advances these systems bring to forecasting, numerical weather prediction, and environmental monitoring. We'll also highlight newly developed lessons covering various aspects of JPSS for National Weather Service forecasters, and discuss current and future work.

  14. MetEd Training Resources from COMET: Assisting User Readiness for JPSS Era

    NASA Astrophysics Data System (ADS)

    Stevermer, A.; Jeffries, R. A.

    2016-12-01

    With all the new advancements, finding time to learn and stay current regarding new satellite instruments, capabilities, applications, and products can be daunting. COMET's self-paced online training resources available via the globally-renowned MetEd Website are available 24/7/365 to help meet this challenge.. UCAR's COMET® Program (www.comet.ucar.edu) has been funded for years by NOAA NESDIS as well as EUMETSAT and the Meteorological Service of Canada to support education and training in satellite meteorology. Experts from NOAA-NESDIS its Cooperative Institutes, the Meteorological Service of Canada, EUMETSAT, the Naval Research Laboratory and others work with COMET staff to create self-paced training lessons that encourage greater use of current and future satellite observations and products. As of fall 2016, nearly 90 satellite-focused, interactive materials are freely available in English via the MetEd Web site at http://meted.ucar.edu/topics/satellite. Many of these lessons are also available in Spanish and French making training more easily accessible to an international audience. This presentation will focus on COMET's satellite training offerings that are directly applicable to helping users learn more about the capabilities of the S-NPP and JPSS satellite series just in time to prepare for JPSS-1 launch! Our educational offerings include lessons on the VIIRS imager and its applications including the exciting nighttime visible observation with the VIIRS Day-Night Band. We'll show how the lessons introduce users to the advances these systems bring to forecasting, numerical weather prediction, and environmental monitoring. We'll also highlight the recently published lesson, " JPSS River Ice and Flood Products" and discuss current and future work.

  15. Validation and Demonstration of the NOAA Unique Combined Atmospheric Processing System (NUCAPS) in Support of User Applications

    NASA Astrophysics Data System (ADS)

    Nalli, N. R.; Gambacorta, A.; Tan, C.; Iturbide, F.; Barnet, C. D.; Reale, A.; Sun, B.; Liu, Q.

    2017-12-01

    This presentation overviews the performance of the operational SNPP NOAA Unique Combined Atmospheric Processing System (NUCAPS) environmental data record (EDR) products. The SNPP Cross-track Infrared Sounder and Advanced Technology Microwave Sounder (CrIS/ATMS) suite, the first of the Joint Polar Satellite System (JPSS) Program, is one of NOAA's major investments in our nation's future operational environmental observation capability. The NUCAPS algorithm is a world-class NOAA-operational IR/MW retrieval algorithm based upon the well-established AIRS science team algorithm for deriving temperature, moisture, ozone and carbon trace gas to provide users with state-of-the-art EDR products. Operational use of the products includes the NOAA National Weather Service (NWS) Advanced Weather Interactive Processing System (AWIPS), along with numerous science-user applications. NUCAPS EDR product assessments are made with reference to JPSS Level 1 global requirements, which provide the definitive metrics for assessing that the products have minimally met predefined global performance specifications. The NESDIS/STAR NUCAPS development and validation team recently delivered the Phase 4 algorithm which incorporated critical updates necessary for compatibility with full spectral-resolution (FSR) CrIS sensor data records (SDRs). Based on comprehensive analyses, the NUCAPS Phase 4 CrIS-FSR temperature, moisture and ozone profile EDRs, as well as the carbon trace gas EDRs (CO, CH4 and CO2), are shown o be meeting or close to meeting the JPSS program global requirements. Regional and temporal assessments of interest to EDR users (e.g., AWIPS) will also be presented.

  16. Operational satellites and the global monitoring of snow and ice

    NASA Technical Reports Server (NTRS)

    Walsh, John E.

    1991-01-01

    The altitudinal dependence of the global warming projected by global climate models is at least partially attributable to the albedo-temperature feedback involving snow and ice, which must be regarded as key variables in the monitoring for global change. Statistical analyses of data from IR and microwave sensors monitoring the areal coverage and extent of sea ice have led to mixed conclusions about recent trends of hemisphere sea ice coverage. Seasonal snow cover has been mapped for over 20 years by NOAA/NESDIS on the basis of imagery from a variety of satellite sensors. Multichannel passive microwave data show some promise for the routine monitoring of snow depth over unforested land areas.

  17. MetEd Resources for Embracing Advances with S-NPP and JPSS

    NASA Astrophysics Data System (ADS)

    Abshire, W. E.; Dills, P. N.; Weingroff, M.

    2014-12-01

    The COMET® Program (www.comet.ucar.edu), a part of the UCAR Community Programs (UCP) at UCAR, receives funding from NOAA NESDIS as well as EUMETSAT and the Meteorological Service of Canada to support education and training in satellite meteorology. For many years COMET's satellite education programs have focused on developing self-paced online educational materials that highlight the capabilities and applications of current and next-generation operational geostationary and polar-orbiting satellites and their relevance to operational forecasters and other user communities. By partnering with experts from the Naval Research Laboratory, NOAA-NESDIS and its Cooperative Institutes, Meteorological Service of Canada, EUMETSAT, and other user communities, COMET stimulates greater use of current and future satellite observations and products. This presentation provides a tour of COMET's satellite training and education offerings that are directly applicable to data and products from the S-NPP and JPSS satellite series. A recommended set of lessons for users who wish to learn more will be highlighted, including excerpts from the newest materials on the Suomi NPP VIIRS imager and its applications, as well as advances in nighttime visible observation with the VIIRS Day-Night Band. We'll show how the lessons introduce users to the advances these systems bring to forecasting, numerical weather prediction, and environmental monitoring. Over 90 satellite-focused, self-paced, online materials are freely available on the of the MetEd Web site (http://www.meted.ucar.edu) via the "Education & Training", "Satellite" topic area. Quite a few polar-orbiting-related lessons are available in both English, Spanish, and French. Additionally, S-NPP and JPSS relevant information can also be found on the the Environmental Satellite Resource Center (ESRC) Web site (www.meted.ucar.edu/esrc) that is maintained by COMET. The ESRC is a searchable, database-driven Web site that provides access to nearly 600 education, training, and informational resources on Earth-observing satellites.

  18. JPSS Cryosphere Algorithms: Integration and Testing in Algorithm Development Library (ADL)

    NASA Astrophysics Data System (ADS)

    Tsidulko, M.; Mahoney, R. L.; Meade, P.; Baldwin, D.; Tschudi, M. A.; Das, B.; Mikles, V. J.; Chen, W.; Tang, Y.; Sprietzer, K.; Zhao, Y.; Wolf, W.; Key, J.

    2014-12-01

    JPSS is a next generation satellite system that is planned to be launched in 2017. The satellites will carry a suite of sensors that are already on board the Suomi National Polar-orbiting Partnership (S-NPP) satellite. The NOAA/NESDIS/STAR Algorithm Integration Team (AIT) works within the Algorithm Development Library (ADL) framework which mimics the operational JPSS Interface Data Processing Segment (IDPS). The AIT contributes in development, integration and testing of scientific algorithms employed in the IDPS. This presentation discusses cryosphere related activities performed in ADL. The addition of a new ancillary data set - NOAA Global Multisensor Automated Snow/Ice data (GMASI) - with ADL code modifications is described. Preliminary GMASI impact on the gridded Snow/Ice product is estimated. Several modifications to the Ice Age algorithm that demonstrates mis-classification of ice type for certain areas/time periods are tested in the ADL. Sensitivity runs for day time, night time and terminator zone are performed and presented. Comparisons between the original and modified versions of the Ice Age algorithm are also presented.

  19. Minding the gaps: new insights into R&D management and operational transitions of NOAA satellite products

    NASA Astrophysics Data System (ADS)

    Colton, Marie C.; Powell, Alfred M.; Jordan, Gretchen; Mote, Jonathon; Hage, Jerald; Frank, Donald

    2004-10-01

    The NESDIS Center for Satellite Applications and Research (STAR), formerly ORA, Office of Research and Applications, consists of three research and applications divisions that encompass satellite meteorology, oceanography, climatology, and cooperative research with academic institutions. With such a wide background of talent, and a charter to develop operational algorithms and applications, STAR scientists develop satellite-derived land, ice, ocean, and atmospheric environmental data products in support of all of NOAA"s mission goals. In addition, in close association with the Joint Center for Satellite Data Assimilation, STAR scientists actively work with the numerical modeling communities of NOAA, NASA, and DOD to support the development of new methods for assimilation of satellite data. In this new era of observations from many new satellite instruments, STAR aims to effectively integrate these data into multi-platform data products for utilization by the forecast and applications communities. Much of our work is conducted in close partnerships with other agencies, academic institutes, and industry. In order to support the nearly 400 current satellite-derived products for various users on a routine basis from our sister operations office, and to evolve to future systems requires an ongoing strategic planning approach that maps research and development activities from NOAA goals to user requirements. Since R&D accomplishments are not necessarily amenable to precise schedules, appropriate motivators and measures of scientific progress must be developed to assure that the product development cycle remains aligned with the other engineering segments of a satellite program. This article presents the status and results of this comprehensive effort to chart a course from the present set of operational satellites to the future.

  20. Applying a Data Stewardship Maturity Matrix to the NOAA Observing System Portfolio Integrated Assessment Process

    NASA Astrophysics Data System (ADS)

    Peng, G.; Austin, M.

    2017-12-01

    Identification and prioritization of targeted user community needs are not always considered until after data has been created and archived. Gaps in data curation and documentation in the data production and delivery phases limit data's broad utility specifically for decision makers. Expert understanding and knowledge of a particular dataset is often required as a part of the data and metadata curation process to establish the credibility of the data and support informed decision-making. To enhance curation practices, content from NOAA's Observing System Integrated Assessment (NOSIA) Value Tree, NOAA's Data Catalog/Digital Object Identifier (DOI) projects (collection-level metadata) have been integrated with Data/Stewardship Maturity Matrices (data and stewardship quality information) focused on assessment of user community needs. This results in user focused evidence based decision making tools created by NOAA's National Environmental Satellite, Data, and Information Service (NESDIS) through identification and assessment of data content gaps related to scientific knowledge and application to key areas of societal benefit. Through enabling user need feedback from the beginning of data creation through archive allows users to determine the quality and value of data that is fit for purpose. Data gap assessment and prioritization are presented in a user-friendly way using the data stewardship maturity matrices as measurement of data management quality. These decision maker tools encourages data producers and data providers/stewards to consider users' needs prior to data creation and dissemination resulting in user driven data requirements increasing return on investment. A use case focused on need for NOAA observations linked societal benefit will be used to demonstrate the value of these tools.

  1. Impact of Scatterometer Ocean Wind Vector Data on NOAA Operations

    NASA Astrophysics Data System (ADS)

    Jelenak, Z.; Chang, P.; Brennan, M. J.; Sienkiewicz, J. M.

    2015-12-01

    Near real-time measurements of ocean surface vector winds (OSVW), including both wind speed and direction from non-NOAA satellites, are being widely used in critical operational NOAA forecasting and warning activities. The scatterometer wind data data have had major operational impact in: a) determining wind warning areas for mid-latitude systems (gale, storm,hurricane force); b) determining tropical cyclone 34-knot and 50-knot wind radii. c) tracking the center location of tropical cyclones, including the initial identification of their formation. d) identifying and warning of extreme gap and jet wind events at all latitudes. e) identifying the current location of frontal systems and high and low pressure centers. f) improving coastal surf and swell forecasts Much has been learned about the importance and utility of satellite OSVW data in operational weather forecasting and warning by exploiting OSVW research satellites in near real-time. Since December 1999 when first data from QuikSCAT scatterometer became available in near real time NOAA operations have been benefiting from ASCAT scatterometer observations on MetOp-A and B, Indian OSCAT scatterometer on OceanSat-3 and lately NASA's RapidScat mission on International Space Station. With oceans comprising over 70 percent of the earth's surface, the impacts of these data have been tremendous in serving society's needs for weather and water information and in supporting the nation's commerce with information for safe, efficient, and environmentally sound transportation and coastal preparedness. The satellite OSVW experience that has been gained over the past decade by users in the operational weather community allows for realistic operational OSVW requirements to be properly stated for future missions. Successful model of transitioning research data into operation implemented by Ocean Winds Team in NOAA's NESDIS/STAR office and subsequent data impacts will be presented and discussed.

  2. A Decision Support System for Ecosystem-Based Management of Tropical Coral Reef Environments

    NASA Astrophysics Data System (ADS)

    Muller-Karger, F. E.; Eakin, C.; Guild, L. S.; Nemani, R. R.; Hu, C.; Lynds, S. E.; Li, J.; Vega-Rodriguez, M.; Coral Reef Watch Decision Support System Team

    2010-12-01

    We review a new collaborative program established between the National Aeronautics and Space Administration (NASA) and the National Oceanic and Atmospheric Administration (NOAA) to augment the NOAA Coral Reef Watch decision-support system. NOAA has developed a Decision Support System (DSS) under the Coral Reef Watch (CRW) program to forecast environmental stress in coral reef ecosystems around the world. This DSS uses models and 50 km Advanced Very High Resolution Radiometer (AVHRR) to generate “HotSpot” and Degree Heating Week coral bleaching indices. These are used by scientists and resource managers around the world. These users, including National Marine Sanctuary managers, have expressed the need for higher spatial resolution tools to understand local issues. The project will develop a series of coral bleaching products at higher spatial resolution using Moderate Resolution Imaging Spectroradiometer (MODIS) and AVHRR data. We will generate and validate products at 1 km resolution for the Caribbean Sea and Gulf of Mexico, and test global assessments at 4 and 50 km. The project will also incorporate the Global Coral Reef Millennium Map, a 30-m resolution thematic classification of coral reefs developed by the NASA Landsat-7 Science Team, into the CRW. The Millennium Maps help understand the geomorphology of individual reefs around the world. The products will be available through the NOAA CRW and UNEP-WCMC web portals. The products will help users formulate policy options and management decisions. The augmented DSS has a global scope, yet it addresses the needs of local resource managers. The work complements efforts to map and monitor coral reef communities in the U.S. territories by NOAA, NASA, and the USGS, and is a contribution to international efforts in ecological forecasting of coral reefs under changing environments, coral reef research, resource management, and conservation. Acknowledgement: Funding is provided by the NASA Ecological Forecasting application area and by NOAA NESDIS.

  3. A Prototype for Content-Rich Decision-Making Support in NOAA using Data as an Asset

    NASA Astrophysics Data System (ADS)

    Austin, M.; Peng, G.

    2015-12-01

    Data Producers and Data Providers do not always collaborate to ensure that the data meets the needs of a broad range of user communities. User needs are not always considered in the beginning of the data production and delivery phases. Often data experts are required to explain or create custom output so that the data can be used by decision makers. Lack of documentation and quality information can result in poor user acceptance or data misinterpretation. This presentation will describe how new content integration tools have been created by NOAA's National Environmental Satellite, Data, and Information Service (NESDIS) to improve quality throughout the data management lifecycle. The prototype integrates contents into a decision-making support tool from NOAA's Observing System Integrated Assessment (NOSIA) Value Tree, NOAA's Data Catalog/Digital Object Identifier (DOI) projects (collection-level metadata) and Data/Stewardship Maturity Matrices (Data and Stewardship Quality Rating Information). The National Centers for Environmental Information's (NCEI) Global Historical Climatology Network-Monthly (GHCN) dataset is used as a case study to formulate/develop the prototype tool and demonstrate its power with the content-centric approach in addition to completeness of metadata elements. This demonstrates the benefits of the prototype tool in both bottom roll-up and top roll-down fashion. The prototype tool delivers a standards based methodology that allows users to determine the quality and value of data that is fit for purpose. It encourages data producers and data providers/stewards to consider users' needs prior to data creation and dissemination resulting in user driven data requirements increasing return on investment.

  4. NOAA satellite observing systems: status and plans

    NASA Astrophysics Data System (ADS)

    John Hussey, W.; Schneider, Stanley R.; Gird, Ronald S.; Needham, Bruce H.

    1991-07-01

    NOAA's National Environmental Satellite, Data, and Information Service (NESDIS) operates separates series of environmental monitoring satellites in polar and geostationary orbits. Two geostationary spacecraft are normally in opration: one stationed at 75° E longitude (GOES-EAST), and one stationed at 135° W longitude (GOES-WEST). Owing to a combination of premature in-orbit failures and a launch failure there is only one GOES satellite currently operational, GOES-7, which is migrated between 95° and 105° W longitude depending upon season. GOES-7 was launched in February 1987. Its primary observing instrument is a combined imager/sounder, the VISSR Atmospheric Sounder (VAS). The first in the next series of GOES satellite, (GOES I-M), is scheduled for launch in 1992. The major upgrade over the current GOES satellites will be the introduction of simultaneous imaging and sounding capability and improvements in imaging IR and sounding resolution. Because of the long lead times necessary in designing and building new systems, NOAA, in cooperation with NASA, has already begun the planning and study process for the GOES-N series of satellites, which will fly early in the next century. NOAA operates a two polar satellite system with equatorial nodal crossing times of 0730 (descending) and 1345 (ascending). The current operational satellites are NOAA-10 (AM) and NOAA-11 (PM). The next in the series (NOAA-D, which will become NOAA-12 once operational) is scheduled for launch in early summer 1991. The instruments onboard are used to make global measurements of numerous parameters such as atmospheric temperature, water vapor, ozone, sea surface temperature, sea ice, and vegetation. The NOAA K-N series of satellites, scheduled for deployment in the mid 1990's, will provide upgraded imaging and sounding capability. The imager will be enhanced to include a sixth channel for cloud/ice descrimination. A 15 channel advanced microwave sounder will be manifested for atmospheric temperature retrievals, and a seperate 5 channel advanced microwave sounder will be used for atmospheric water vapor retrievals. The polar program will undergo major changes beginning in the late 1990's. The morning polar metsat service will become the responsibility of the Europeans with NOAA providing an operational sensor payload. The afternoon metsat service will be continued by NOAA with a new block of satellites and instruments beginning at NOAA-O. NOAA will also be closely cooperating with NASA in this time frame. A number of the instruments on NASA's Earth Observing System (EOS) platforms, scheduled for launch beginning in the late 1990's, have been designated "prototype operational" and may become candidates for eventual flight on NOAA operational spacecraft.

  5. Recent Enhancements in NOAA's JPSS Land Product Suite and Key Operational Applications

    NASA Astrophysics Data System (ADS)

    Csiszar, I. A.; Yu, Y.; Zhan, X.; Vargas, M.; Ek, M. B.; Zheng, W.; Wu, Y.; Smirnova, T. G.; Benjamin, S.; Ahmadov, R.; James, E.; Grell, G. A.

    2017-12-01

    A suite of operational land products has been produced as part of NOAA's Joint Polar Satellite System (JPSS) program to support a wide range of operational applications in environmental monitoring, prediction, disaster management and mitigation, and decision support. The Visible Infrared Imaging Radiometer Suite (VIIRS) on the Suomi National Polar-orbiting Partnership (NPP) and the operational JPSS satellite series forms the basis of six fundamental and multiple additional added-value environmental data records (EDRs). A major recent improvement in the land-based VIIRS EDRs has been the development of global gridded products, providing a format and science content suitable for ingest into NOAA's operational land surface and coupled numerical weather prediction models. VIIRS near-real-time Green Vegetation Fraction is now in the process of testing for full operational use, while land surface temperature and albedo are under testing and evaluation. The operational 750m VIIRS active fire product, including fire radiative power, is used to support emission modeling and air quality applications. Testing the evaluation for operational NOAA implementation of the improved 375m VIIRS active fire product is also underway. Added-value and emerging VIIRS land products include vegetation health, phenology, near-real-time surface type and surface condition change, and other biogeophysical variables. As part of the JPSS program, a global soil moisture data product has also been generated from the Advanced Microwave Scanning Radiometer 2 (AMSR2) sensor on the GCOM-W1 (Global Change Observation Mission - Water 1) satellite since July 2012. This product is included in the blended NESDIS Soil Moisture Operational Products System, providing soil moisture data as a critical input for land surface modeling.

  6. Joint Center for Satellite Data Assimilation Overview and Research Activities

    NASA Astrophysics Data System (ADS)

    Auligne, T.

    2017-12-01

    In 2001 NOAA/NESDIS, NOAA/NWS, NOAA/OAR, and NASA, subsequently joined by the US Navy and Air Force, came together to form the Joint Center for Satellite Data Assimilation (JCSDA) for the common purpose of accelerating the use of satellite data in environmental numerical prediction modeling by developing, using, and anticipating advances in numerical modeling, satellite-based remote sensing, and data assimilation methods. The primary focus was to bring these advances together to improve operational numerical model-based forecasting, under the premise that these partners have common technical and logistical challenges assimilating satellite observations into their modeling enterprises that could be better addressed through cooperative action and/or common solutions. Over the last 15 years, the JCSDA has made and continues to make major contributions to operational assimilation of satellite data. The JCSDA is a multi-agency U.S. government-owned-and-operated organization that was conceived as a venue for the several agencies NOAA, NASA, USAF and USN to collaborate on advancing the development and operational use of satellite observations into numerical model-based environmental analysis and forecasting. The primary mission of the JCSDA is to "accelerate and improve the quantitative use of research and operational satellite data in weather, ocean, climate and environmental analysis and prediction systems." This mission is fulfilled through directed research targeting the following key science objectives: Improved radiative transfer modeling; new instrument assimilation; assimilation of humidity, clouds, and precipitation observations; assimilation of land surface observations; assimilation of ocean surface observations; atmospheric composition; and chemistry and aerosols. The goal of this presentation is to briefly introduce the JCSDA's mission and vision, and to describe recent research activities across various JCSDA partners.

  7. Application of Suomi-NPP Green Vegetation Fraction and NUCAPS for Improving Regional Numerical Weather Prediction

    NASA Technical Reports Server (NTRS)

    Case, Jonathan L.; Berndt, Emily B.; Srikishen, Jayanthi; Zavodsky, Bradley T.

    2014-01-01

    The NASA SPoRT Center is working to incorporate Suomi-NPP products into its research and transition activities to improve regional numerical weather prediction (NWP). Specifically, SPoRT seeks to utilize two data products from NOAA/NESDIS: (1) daily global VIIRS green vegetation fraction (GVF), and (2) NOAA Unique CrIS and ATMS Processing System (NUCAPS) temperature and moisture retrieved profiles. The goal of (1) is to improve the representation of vegetation in the Noah land surface model (LSM) over existing climatological GVF datasets in order to improve the land-atmosphere energy exchanges in NWP models and produce better temperature, moisture, and precipitation forecasts. The goal of (2) is to assimilate NUCAPS retrieved profiles into the Gridpoint Statistical Interpolation (GSI) data assimilation system to assess the impact on a summer pre-frontal convection case. Most regional NWP applications make use of a monthly GVF climatology for use in the Noah LSM within the Weather Research and Forecasting (WRF) model. The GVF partitions incoming energy into direct surface heating/evaporation over bare soil versus evapotranspiration processes over vegetated surfaces. Misrepresentations of the fractional coverage of vegetation during anomalous weather/climate regimes (e.g., early/late bloom or freeze; drought) can lead to poor NWP model results when land-atmosphere feedback is important. SPoRT has been producing a daily MODIS GVF product based on the University of Wisconsin Direct Broadcast swaths of Normalized Difference Vegetation Index (NDVI). While positive impacts have been demonstrated in the WRF model for some cases, the reflectances composing these NDVI do not correct for atmospheric aerosols nor satellite view angle, resulting in temporal noisiness at certain locations (especially heavy vegetation). The method behind the NESDIS VIIRS GVF is expected to alleviate the issues seen in the MODIS GVF real-time product, thereby offering a higher-quality dataset for modeling applications. SPoRT is evaluating the VIIRS GVF data against the MODIS real-time and climatology GVF in both WRF and the NASA Land Information System. SPoRT has a history of assimilating hyperspectral infrared retrieved profiles

  8. NASA Captures 'EPIC' Earth Image

    NASA Image and Video Library

    2017-12-08

    A NASA camera on the Deep Space Climate Observatory satellite has returned its first view of the entire sunlit side of Earth from one million miles away. This color image of Earth was taken by NASA’s Earth Polychromatic Imaging Camera (EPIC), a four megapixel CCD camera and telescope. The image was generated by combining three separate images to create a photographic-quality image. The camera takes a series of 10 images using different narrowband filters -- from ultraviolet to near infrared -- to produce a variety of science products. The red, green and blue channel images are used in these color images. The image was taken July 6, 2015, showing North and Central America. The central turquoise areas are shallow seas around the Caribbean islands. This Earth image shows the effects of sunlight scattered by air molecules, giving the image a characteristic bluish tint. The EPIC team is working to remove this atmospheric effect from subsequent images. Once the instrument begins regular data acquisition, EPIC will provide a daily series of Earth images allowing for the first time study of daily variations over the entire globe. These images, available 12 to 36 hours after they are acquired, will be posted to a dedicated web page by September 2015. The primary objective of DSCOVR, a partnership between NASA, the National Oceanic and Atmospheric Administration (NOAA) and the U.S. Air Force, is to maintain the nation’s real-time solar wind monitoring capabilities, which are critical to the accuracy and lead time of space weather alerts and forecasts from NOAA. For more information about DSCOVR, visit: www.nesdis.noaa.gov/DSCOVR/

  9. Stratospheric contribution to surface ozone in the desert Southwest during the 2013 Las Vegas Ozone Study

    NASA Astrophysics Data System (ADS)

    Langford, A. O.; Senff, C. J.; Alvarez, R. J. _II, II; Brioude, J. F.; Cooper, O. R.; Holloway, J. S.; Lin, M.; Marchbanks, R.; Pierce, R. B.; Reddy, P. J.; Sandberg, S.; Weickmann, A. M.; Williams, E. J.; Gustin, M. S.; Iraci, L. T.; Leblanc, T.; Yates, E. L.

    2014-12-01

    The 2013 Las Vegas Ozone Study (LVOS) was designed to investigate the potential impact of stratosphere-troposphere transport (STT) and long-range transport of pollution from Asia on surface O3 concentrations in Clark County, NV. This measurement campaign, which took place in May and June of 2013, was conducted at Angel Peak, NV, a high elevation site about 2.8 km above mean sea level and 45 km west of Las Vegas. The study was organized around the NOAA ESRL truck-based TOPAZ scanning ozone lidar with collocated in situ sampling of O3, CO, and meteorological parameters. These measurements were supported by the NOAA/NESDIS real time modelling system (RAQMS), FLEXPART particle dispersion model, and the NOAA GFDL AM3 model. In this talk, I will describe one of several STT events that occurred during the LVOS campaign. This intrusion, which was profiled by TOPAZ on the night of May 24-25, was also sampled by the NASA Alpha Jet, the Table Mountain ozone lidar, and by an ozonesonde flying above southern California. This event also led to significant ozone increases at surface monitors operated by Clark County, the California Air Resources Board, the U.S. National Park Service, and the Nevada Rural Ozone Initiative (NRVOI), and resulted in exceedances of the 2008 75 ppbv O3 NAAQS both in Clark County and in surrounding areas of Nevada and southern California. The potential implications of this and similar events for air quality compliance in the western U.S. will be discussed.

  10. Validation of the AMSU-B Bias Corrections Based on Satellite Measurements from SSM/T-2

    NASA Technical Reports Server (NTRS)

    Kolodner, Marc A.

    1999-01-01

    The NOAA-15 Advanced Microwave Sounding Unit-B (AMSU-B) was designed in the same spirit as the Special Sensor Microwave Water Vapor Profiler (SSM/T-2) on board the DMSP F11-14 satellites, to perform remote sensing of spatial and temporal variations in mid and upper troposphere humidity. While the SSM/T-2 instruments have a 48 km spatial resolution at nadir and 28 beam positions per scan, AMSU-B provides an improvement with a 16 km spatial resolution at nadir and 90 beam positions per scan. The AMSU-B instrument, though, has been experiencing radio frequency interference (RFI) contamination from the NOAA-15 transmitters whose effect is dependent upon channel, geographic location, and current spacecraft antenna configuration. This has lead to large cross-track biases reaching as high as 100 Kelvin for channel 17 (150 GHz) and 50 Kelvin for channel 19 (183 +/-3 GHz). NOAA-NESDIS has recently provided a series of bias corrections for AMSU-B data starting from March, 1999. These corrections are available for each of the five channels, for every third field of view, and for three cycles within an eight second period. There is also a quality indicator in each data record to indicate whether or not the bias corrections should be applied. As a precursor to performing retrievals of mid and upper troposphere humidity, a validation study is performed by statistically analyzing the differences between the F14 SSM/T-2 and the bias corrected AMSU-B brightness temperatures for three months in the spring of 1999.

  11. Water vapor over Europe obtained from remote sensors and compared with a hydrostatic NWP model

    NASA Astrophysics Data System (ADS)

    Johnsen, K.-P.; Kidder, S. Q.

    Due to its high-variability water vapor is a crucial parameter in short-term numerical weather prediction. Integrated water vapor (IWV) data obtained from a network of groundbased Global Positioning System (GPS) receivers mainly over Germany and passive microwave measurements of the Advanced Microwave Sounding Unit (AMSU-A) are compared with the high-resolution regional weather forecast model HRM of the Deutscher Wetterdienst (DWD). Time series of the IWV at 74 GPS stations obtained during the first complete year of the GFZ/GPS network between May 2000 and April 2001 are applied together with colocated forecasts of the HRM model. The low bias (0.08 kg/m 2) between the HRM model and the GPS data can mainly be explained by the bias between the ECMWF analysis data used to initilize the HRM model and the GPS data. The IWV standard deviation between the HRM model and the GPS data during that time is about 2.47 kg/ m2. GPS stations equipped with surface pressure sensors show about 0.29 kg/ m2 lower standard deviation compared with GPS stations with interpolated surface pressure from synoptic stations. The NOAA/NESDIS Total Precipitable Water algorithm is applied to obtain the IWV and to validate the model above the sea. While the mean IWV obtained from the HRM model is about 2.1 kg/ m2 larger than from the AMSU-A data, the standard deviations are 2.46 kg/ m2 (NOAA-15) and 2.29 kg/ m2 (NOAA-16) similar to the IWV standard deviation between HRM and GPS data.

  12. Modeling Tool to Quantify Metal Sources in Stormwater Discharges at Naval Facilities (NESDI Project 455)

    DTIC Science & Technology

    2014-06-01

    TECHNICAL REPORT 2077 June 2014 Modeling Tool to Quantify Metal Sources in Stormwater Discharges at Naval Facilities (NESDI Project 455... Stormwater Discharges at Naval Facilities (NESDI Project 455) Final Report and Guidance C. Katz K. Sorensen E. Arias SSC Pacific R. Pitt L. Talebi...demonstration/validation project to assess the use of the urban stormwater model Windows Source Loading and Management Model (WinSLAMM) to characterize

  13. Utilization of Precipitation and Moisture Products Derived from Satellites to Support NOAA Operational Precipitation Forecasts

    NASA Astrophysics Data System (ADS)

    Ferraro, R.; Zhao, L.; Kuligowski, R. J.; Kusselson, S.; Ma, L.; Kidder, S. Q.; Forsythe, J. M.; Jones, A. S.; Ebert, E. E.; Valenti, E.

    2012-12-01

    NOAA/NESDIS operates a constellation of polar and geostationary orbiting satellites to support weather forecasts and to monitor the climate. Additionally, NOAA utilizes satellite assets from other U.S. agencies like NASA and the Department of Defense, as well as those from other nations with similar weather and climate responsibilities (i.e., EUMETSAT and JMA). Over the past two decades, through joint efforts between U.S. and international government researchers, academic partners, and private sector corporations, a series of "value added" products have been developed to better serve the needs of weather forecasters and to exploit the full potential of precipitation and moisture products generated from these satellites. In this presentation, we will focus on two of these products - Ensemble Tropical Rainfall Potential (eTRaP) and Blended Total Precipitable Water (bTPW) - and provide examples on how they contribute to hydrometeorological forecasts. In terms of passive microwave satellite products, TPW perhaps is most widely used to support real-time forecasting applications, as it accurately depicts tropospheric water vapor and its movement. In particular, it has proven to be extremely useful in determining the location, timing, and duration of "atmospheric rivers" which contribute to and sustain flooding events. A multi-sensor approach has been developed and implemented at NESDIS in which passive microwave estimates from multiple satellites and sensors are merged to create a seamless, bTPW product that is more efficient for forecasters to use. Additionally, this product is being enhanced for utilization for television weather forecasters. Examples will be shown to illustrate the roll of atmospheric rivers and contribution to flooding events, and how the bTPW product was used to improve the forecast of these events. Heavy rains associated with land falling tropical cyclones (TC) frequently trigger floods that cause millions of dollars of damage and tremendous loss of lives. To provide observations-based forecast guidance for TC heavy rain, the Tropical Rainfall Potential (TRaP), an extrapolation forecast generated by accumulating rainfall estimates from satellites with microwave sensors as the storm is translated along the forecast track, was originally developed to predict the maximum rainfall at landfall, as well as the spatial pattern of precipitation. More recently, an enhancement has been made to combine the TRaP forecasts from multiple sensors and various start times into an ensemble (eTRaP). The ensemble approach provides not only more accurate quantitative precipitation forecasts, including more skillful maximum rainfall amount and location, it also produces probabilistic forecasts of rainfall exceeding various thresholds that decision makers can use to make critical risk assessments. Examples of the utilization and performance of eTRaP will be given in the presentation.

  14. Inter-comparison of automatic rain gauges

    NASA Technical Reports Server (NTRS)

    Nystuen, Jeffrey A.

    1994-01-01

    The Ocean Acoustics Division (OAD) of the Atlantic Oceanographic and Meteorological Laboratory (AOML), in cooperation with NOAA/NESDIS and NASA, has deployed six rain gauges for calibration and intercomparison purposes. These instruments include: (1) a weighing rain gauge, (2) a RM Young Model 50202 capacitance rain gauge, (3) a ScTI ORG-705 (long path) optical rain gauge, (4) a ScTI ORG-105 (mini-ORG) optical rain gauge, (5) a Belfort Model 382 tipping bucket rain gauge, and (6) a Distromet RD-69 disdrometer. The system has been running continuously since July 1993. During this time period, roughly 150 events with maximum rainfall rate over 10 mm/hr and 25 events with maximum rainfall rates over 100 mm/hr have been recorded. All rain gauge types have performed well, with intercorrelations 0.9 or higher. However, limitations for each type of rain gauge have been observed.

  15. Key Features of the Deployed NPP/NPOESS Ground System

    NASA Astrophysics Data System (ADS)

    Heckmann, G.; Grant, K. D.; Mulligan, J. E.

    2010-12-01

    The National Oceanic & Atmospheric Administration (NOAA), Department of Defense (DoD), and National Aeronautics & Space Administration (NASA) are jointly acquiring the next-generation weather/environmental satellite system; the National Polar-orbiting Operational Environmental Satellite System (NPOESS). NPOESS replaces the current NOAA Polar-orbiting Operational Environmental Satellites (POES) and DoD Defense Meteorological Satellite Program (DMSP). NPOESS satellites carry sensors to collect meteorological, oceanographic, climatological, and solar-geophysical data of the earth, atmosphere, and space. The ground data processing segment is the Interface Data Processing Segment (IDPS), developed by Raytheon Intelligence & Information Systems (IIS). The IDPS processes NPOESS Preparatory Project (NPP)/NPOESS satellite data to provide environmental data products/records (EDRs) to NOAA and DoD processing centers operated by the US government. The IDPS will process EDRs beginning with NPP and continuing through the lifetime of the NPOESS system. The command & telemetry segment is the Command, Control & Communications Segment (C3S), also developed by Raytheon IIS. C3S is responsible for managing the overall NPP/NPOESS missions from control & status of the space and ground assets to ensuring delivery of timely, high quality data from the Space Segment to IDPS for processing. In addition, the C3S provides the globally-distributed ground assets needed to collect and transport mission, telemetry, and command data between the satellites and processing locations. The C3S provides all functions required for day-to-day satellite commanding & state-of-health monitoring, and delivery of Stored Mission Data to each Central IDP for data products development and transfer to system subscribers. The C3S also monitors and reports system-wide health & status and data communications with external systems and between the segments. The C3S & IDPS segments were delivered & transitioned to operations for NPP. C3S transitioned to operations at the NOAA Satellite Operations Facility (NSOF) in Suitland Maryland in August 2007 and IDPS transitioned in July 2009. Both segments were involved with several compatibility tests with the NPP Satellite at the Ball Aerospace Technology Corporation (BATC) factory. The compatibility tests involved the spacecraft bus, the four sensors (VIIRS, ATMS, CrIS and OMPS), and both ground segments flowing data between the NSOF and BATC factory and flowing data from the polar ground station (Svalbard) over high-speed links back to the NSOF and the two IDP locations (NESDIS & AFWA). This presentation will describe the NPP/NPOESS ground architecture features & enhancements for the NPOESS era. These will include C3S-provided space-to-ground connectivity, reliable and secure data delivery and insight & oversight of the total operation. For NPOESS the ground architecture is extended to provide additional ground receptor sites to reduce data product delivery times to users and delivery of additional sensor data products from sensors similar to NPP and more NPOESS sensors. This architecture is also extended from two Centrals (NESDIS & AFWA) to two additional Centrals (FNMOC & NAVO). IDPS acts as a buffer minimizing changes in how users request and receive data products.

  16. Extending the NOAA SBUV(/2) Ozone Profile Record

    NASA Astrophysics Data System (ADS)

    Frith, S. M.; Wild, J.; Long, C. S.

    2017-12-01

    Since the signing of the Montreal Protocol in 1987 and its subsequent agreements banning anthropogenic ozone depleting substances (ODS) the climate community has been anticipating the ability to detect the recovery of the ozone layer. This recovery is complicated by climate changes associated with the increase of CO2 in the both the troposphere and stratosphere. The Climate Prediction Center (CPC) has generated a long term total column and profile ozone climate data record (CDR) based on the SBUV and SBUV/2 on Nimbus 7 and the NOAA Polar Orbiting Environmental Satellites (POES): NOAA-9, -11, -14, -16, -17, -18 and -19 spanning 38 years from 1978 to 2016. This dataset uses observations from a single instrument for each time period and an adjustment scheme to remove inter-satellite differences. The last of these SBUV/2 instruments resides on NOAA-19 launched in 2009, and with drifting equatorial crossing time will soon loose latitudinal coverage, and be impacted by an increasing solar zenith angle. The Ozone Mapping and Profiler Suite (OMPS) instrument has replaced the SBUV/2 as the primary ozone monitoring instrument at NOAA. It is taking observations on the Suomi-NPOESS Preparatory Project (S-NPP) satellite which was launched in 2011 and will be on future JPSS satellites. JPSS-1 is expected to be launched in late 2017, and later JPSS satellites will additionally carry the OMPS instrument. Reprocessed OMPS Nadir Profile (NP) and Nadir Mapper (NM) level 2 data has been made available by NESDIS/STAR covering the period from 2012 through 2016. The OMPS NP has been characterized and calibrated to be very similar to the SBUV/2. Results of extending the SBUV(/2) dataset with ozone profile data from OMPS will be reviewed. Stability of ozone recovery trend estimates using these datasets will be explored using the Hockey Stick approach of Reinsel (2002) near-globally (50N-50S), tropically and at mid-latitudes. Seasonality of the trend results will be examined. Reinsel, G.C., et al Journal of Geophys. Res., 107, p4078 (2002).

  17. An Overview of the JPSS Ground Project Algorithm Integration Process

    NASA Astrophysics Data System (ADS)

    Vicente, G. A.; Williams, R.; Dorman, T. J.; Williamson, R. C.; Shaw, F. J.; Thomas, W. M.; Hung, L.; Griffin, A.; Meade, P.; Steadley, R. S.; Cember, R. P.

    2015-12-01

    The smooth transition, implementation and operationalization of scientific software's from the National Oceanic and Atmospheric Administration (NOAA) development teams to the Join Polar Satellite System (JPSS) Ground Segment requires a variety of experiences and expertise. This task has been accomplished by a dedicated group of scientist and engineers working in close collaboration with the NOAA Satellite and Information Services (NESDIS) Center for Satellite Applications and Research (STAR) science teams for the JPSS/Suomi-NPOES Preparatory Project (S-NPP) Advanced Technology Microwave Sounder (ATMS), Cross-track Infrared Sounder (CrIS), Visible Infrared Imaging Radiometer Suite (VIIRS) and Ozone Mapping and Profiler Suite (OMPS) instruments. The presentation purpose is to describe the JPSS project process for algorithm implementation from the very early delivering stages by the science teams to the full operationalization into the Interface Processing Segment (IDPS), the processing system that provides Environmental Data Records (EDR's) to NOAA. Special focus is given to the NASA Data Products Engineering and Services (DPES) Algorithm Integration Team (AIT) functional and regression test activities. In the functional testing phase, the AIT uses one or a few specific chunks of data (granules) selected by the NOAA STAR Calibration and Validation (cal/val) Teams to demonstrate that a small change in the code performs properly and does not disrupt the rest of the algorithm chain. In the regression testing phase, the modified code is placed into to the Government Resources for Algorithm Verification, Integration, Test and Evaluation (GRAVITE) Algorithm Development Area (ADA), a simulated and smaller version of the operational IDPS. Baseline files are swapped out, not edited and the whole code package runs in one full orbit of Science Data Records (SDR's) using Calibration Look Up Tables (Cal LUT's) for the time of the orbit. The purpose of the regression test is to identify unintended outcomes. Overall the presentation provides a general and easy to follow overview of the JPSS Algorithm Change Process (ACP) and is intended to facility the audience understanding of a very extensive and complex process.

  18. Smoke from Alaska and Canada Fires Dives into the Continental U.S.

    NASA Image and Video Library

    2015-07-01

    The InciWeb Incident Information System is following 18 fires in Alaska that are contributing, along with 49 uncontrolled fires under surveillance by the Canadian Wildland Fire Information System, to vast areas of visible smoke throughout Canadian provinces and stretching into northern U.S. states. This image from the Suomi NPP satellite's VIIRS instrument was taken from NOAA View on June 28, 2015. The smoke from these fires can also be seen in NOAA View as Aerosol Optical Thickness, a measure of how aerosols, such as smoke from wildfires, scatter and absorb sunlight. Credit: NOAA/NASA GOES Project NASA image use policy. NASA Goddard Space Flight Center enables NASA’s mission through four scientific endeavors: Earth Science, Heliophysics, Solar System Exploration, and Astrophysics. Goddard plays a leading role in NASA’s accomplishments by contributing compelling scientific knowledge to advance the Agency’s mission. Follow us on Twitter Like us on Facebook Find us on Instagram

  19. A net-centric system of services model for the Integrated Earth Observation System (IEOS) and the Integrated Ocean Observing System (IOOS)

    NASA Astrophysics Data System (ADS)

    Ardanuy, Philip; Bensman, Ed; Bergen, Bill; Chen, Bob; Griffith, Frank; Sutton, Cary; Hood, Carroll; Ritchie, Adrian; Tarro, Andre

    2006-08-01

    This paper considers an evolved technique for significantly enhanced enterprise-level data processing, reprocessing, archival, dissemination, and utilization. There is today a robust working paradigm established with the Advanced Weather Interactive Processing System (AWIPS)-NOAA/NWS's information integration and fusion capability. This process model extends vertically, and seamlessly, from environmental sensing through the direct delivery of societal benefit. NWS, via AWIPS, is the primary source of weather forecast and warning information in the nation. AWIPS is the tested and proven "the nerve center of operations" at all 122 NWS Weather Forecast Offices (WFOs) and 13 River Forecast Centers (RFCs). However, additional line organizations whose role in satisfying NOAA's five mission goals (ecosystems, climate, weather & water, commerce & transportation, and mission support) in multiple program areas might be facilitated through utilization of AWIPS-like functionalities, including the National Marine Fisheries Service (NMFS); National Environmental Satellite, Data, and Information Service (NESDIS); Office of Oceanic & Atmospheric Research (OAR); and the National Ocean Service (NOS). In addition to NOAA's mission goals, there are nine diverse, recommended, and important societal benefit areas in the US Integrated Earth Observation System (IEOS). This paper shows how the satisfaction of this suite of goals and benefit areas can be optimized by leveraging several key ingredients: (1) the evolution of AWIPS towards a net-centric system of services concept of operations; (2) infusion of technologies and concepts from pathfinder systems; (3) the development of new observing systems targeted at deliberate, and not just serendipitous, societal benefit; and (4) the diverse, nested local, regional, national, and international scales of the different benefits and goal areas, and their interoperability and interplay across the system of systems.

  20. Automated Wildfire Detection Through Artificial Neural Networks

    NASA Technical Reports Server (NTRS)

    Miller, Jerry; Borne, Kirk; Thomas, Brian; Huang, Zhenping; Chi, Yuechen

    2005-01-01

    Wildfires have a profound impact upon the biosphere and our society in general. They cause loss of life, destruction of personal property and natural resources and alter the chemistry of the atmosphere. In response to the concern over the consequences of wildland fire and to support the fire management community, the National Oceanic and Atmospheric Administration (NOAA), National Environmental Satellite, Data and Information Service (NESDIS) located in Camp Springs, Maryland gradually developed an operational system to routinely monitor wildland fire by satellite observations. The Hazard Mapping System, as it is known today, allows a team of trained fire analysts to examine and integrate, on a daily basis, remote sensing data from Geostationary Operational Environmental Satellite (GOES), Advanced Very High Resolution Radiometer (AVHRR) and Moderate Resolution Imaging Spectroradiometer (MODIS) satellite sensors and generate a 24 hour fire product for the conterminous United States. Although assisted by automated fire detection algorithms, N O M has not been able to eliminate the human element from their fire detection procedures. As a consequence, the manually intensive effort has prevented NOAA from transitioning to a global fire product as urged particularly by climate modelers. NASA at Goddard Space Flight Center in Greenbelt, Maryland is helping N O M more fully automate the Hazard Mapping System by training neural networks to mimic the decision-making process of the frre analyst team as well as the automated algorithms.

  1. Coordinated profiling of stratospheric intrusions and transported pollution by the Tropospheric Ozone Lidar Network (TOLNet) and NASA Alpha Jet experiment (AJAX): Observations and comparison to HYSPLIT, RAQMS, and FLEXPART

    NASA Astrophysics Data System (ADS)

    Langford, A. O.; Alvarez, R. J.; Brioude, J.; Evan, S.; Iraci, L. T.; Kirgis, G.; Kuang, S.; Leblanc, T.; Newchurch, M. J.; Pierce, R. B.; Senff, C. J.; Yates, E. L.

    2018-02-01

    Ground-based lidars and ozonesondes belonging to the NASA-supported Tropospheric Ozone Lidar Network (TOLNet) are used in conjunction with the NASA Alpha Jet Atmospheric eXperiment (AJAX) to investigate the transport of stratospheric ozone and entrained pollution into the lower troposphere above the United States on May 24-25, 2013. TOLNet and AJAX measurements made in California, Nevada, and Alabama are compared to tropospheric ozone retrievals from the Atmospheric Infrared Sounder (AIRS), to back trajectories from the NOAA Air Resources Laboratory (ARL) Hybrid Single Particle Lagrangian Integrated Trajectory (HYSPLIT) model, and to analyses from the NOAA/NESDIS Real-time Air Quality Modeling System (RAQMS) and FLEXPART particle dispersion model. The measurements and model analyses show much deeper descent of ozone-rich upper tropospheric/lower stratospheric air above the Desert Southwest than above the Southeast, and comparisons to surface measurements from regulatory monitors reporting to the U.S. EPA Air Quality System (AQS) suggest that there was a much greater surface impact in the Southwest including exceedances of the 2008 National Ambient Air Quality Standard (NAAQS) of 0.075 ppm in both Southern California and Nevada. Our analysis demonstrates the potential benefits to be gained by supplementing the existing surface ozone network with coordinated upper air observations by TOLNet.

  2. Effects of Surface Albedo on Smoke Detection Through Geostationary Satellite Imagery in the Hazard Mapping System (HMS)

    NASA Astrophysics Data System (ADS)

    Salemi, A.; Ruminski, M. G.

    2012-12-01

    The Satellite Analysis Branch (SAB) of NOAA/NESDIS uses geostationary and polar orbiting satellite imagery to identify fires and smoke throughout the continental United States. The fires and smoke are analyzed daily on the Hazard Mapping System (HMS) and made available via the internet in various formats. Analysis of smoke plumes generated from wildfires, agricultural and prescribe burns is performed with single channel visible imagery primarily from NOAA's Geostationary Operational Environmental Satellite (GOES) animations. Identification of smoke in visible imagery is complicated by the presence of clouds, the viewing angle produced by the sun, smoke, satellite geometry, and the surface albedo of the ground below the smoke among other factors. This study investigates the role of surface albedo in smoke detection. LIght Detection And Ranging (LIDAR) instruments are capable of detecting smoke and other aerosols. Through the use of ground and space based LIDAR systems in areas of varying albedo a relationship between the subjective analyst drawn smoke plumes versus those detected by LIDAR is established. The ability to detect smoke over regions of higher albedo (brighter surface, such as grassland, scrub and desert) is diminished compared to regions of lower albedo (darker surface, such as forest and water). Users of the HMS smoke product need to be aware of this limitation in smoke detection in areas of higher albedo.

  3. Investigation of cloud/water vapor motion winds from geostationary satellite

    NASA Technical Reports Server (NTRS)

    Nieman, Steve; Velden, Chris; Hayden, Kit; Menzel, Paul

    1993-01-01

    Work has been primarily focussed on three tasks: (1) comparison of wind fields produced at MSFC with the CO2 autowind/autoeditor system newly installed in NESDIS operations; (2) evaluation of techniques for improved tracer selection through use of cloud classification predictors; and (3) development of height assignment algorithm with water vapor channel radiances. The contract goal is to improve the CIMSS wind system by developing new techniques and assimilating better existing techniques. The work reported here was done in collaboration with the NESDIS scientists working on the operational winds software, so that NASA funded research can benefit NESDIS operational algorithms.

  4. Obituary: David Q. Wark, 1918-2002

    NASA Astrophysics Data System (ADS)

    McMillin, Larry Max

    2003-12-01

    David Q. Wark, a research meteorologist at the National Environmental Satellite, Data, and Information Service of the National Oceanic and Atmospheric Administration (NOAA/NESDIS) and its predecessor organizations for 55 years, died of cancer 30 July 2002. He will be long remembered for his seminal contributions to the weather satellite program. A pioneer in the use of satellite sensors to provide observations of the Earth's environment for application to weather forecasting and atmospheric science, Dr. Wark was noted for his brilliant insights, dedication, and exceptional scientific achievements. He developed many of the theoretical and experimental techniques on which NOAA's current multi- billion-dollar meteorological satellite program is based. In the 1960's and early 1970's, he and his NOAA colleague Donald Hilleary were the motivating force and principal investigators for the first satellite instruments dedicated to sounding the atmosphere for temperature and water-vapor. These instruments included the Satellite Infra-Red Spectrometer (SIRS)-A and -B and the Vertical Temperature Profile Radiometer (VTPR), which were flown on NASA's Nimbus satellites and NOAA's ITOS-D satellites, respectively. With colleague Henry Fleming, he formulated the radiative transfer equation that quantifies the spectral radiances of the Earth and its atmosphere (measured at satellite altitude) and inverted that equation mathematically to infer the atmospheric temperature profile from satellite-based measurements of those radiances. A difficulty they had to overcome was that the mathematical problem is ill-posed, i.e., it admits of an infinite number of solutions. They arrived at a unique solution via an innovative application of a-priori information on the atmospheric state. This work was described in the landmark 1965 Wark and Fleming paper in the American Meteorological Society's Monthly Weather Review. From that early period until just weeks before his death, Dr. Wark continued his work at the Office of Research and Applications in NOAA/NESDIS on developing advanced techniques for sounding the atmosphere from satellites. Dr. Wark's work in remote sensing of the Earth's atmosphere and surface from weather satellites benefited from his skill both as a meteorologist and an astronomer. Most of his work was directed toward the goal of deducing vertical temperature and moisture profiles in the Earth's atmosphere, but he also proposed a method for obtaining cloud top altitudes using the oxygen A band. In the early days of this effort at NOAA/NESDIS and its predecessor agencies, Dr. Wark and others (most notably Dr. S. Fritz), assembled a remarkable group of internationally known scientists at NOAA to work on this pioneering effort and made Suitland, Maryland an exciting place to work. Included in this group of visiting scientists were G. Yamamoto, D. G. James, S. Twomey, and F. Saiedy. In addition to his own insights, Dr. Wark proved to have a remarkable facility for subdividing the complex temperature profiling problem into smaller component problems that the visiting and U.S. scientists could attack without interfering with each other. Despite his well-deserved reputation for having a formidable personality, he guided the development of the satellite temperature profiling field with tact, diplomacy, and scientific acumen. During this time, Dr. Wark also brought to NESDIS, and guided, a number of younger scientists who went on to establish reputations of their own in the fields of satellite remote sensing and satellite meteorology. These included J. Alishouse, L. Crone, D. Crosby, H. Fleming, H. Jacobowitz, L. McMillin, W. L. Smith, L. Stowe, and M. Weinreb. A Fellow of the American Meteorological Society, Dr. Wark received numerous awards from various scientific organizations, including a Silver Medal and a Gold Medal from the U.S. Department of Commerce, the Medal for Exceptional Scientific Achievement from NASA, the 2nd Half-Century Award from the American Meteorological Society, the Lloyd V. Berkner Space Utilization Award from the American Astronautical Society, and the Robert M. Losey Award, from the American Institute of Aeronautics and Astronautics. David Quentin Wark was born on 25 March 1918, in Spokane, Washington. He was the fourth and last child of Percival Damon Wark and Clara Belle (née Mackey) Wark. In 1921 his family moved to Altadena and Pasadena, California, where he lived until 1939. He attended Altadena Elementary School, Edison Elementary School, Washington Junior High School, Pasadena High School, and Pasadena Junior College. From 1938 to 1939, and again in the summer of 1940, he worked for the Associated Press and David Lawrence to earn money to resume his education. In 1939, he entered the University of California, Berkeley, from which he graduated with a BA in Astronomy with honors in May 1941. From 1941 to 1942 he did graduate study in meteorology at the University of California, Los Angeles. He resumed graduate studies part time in 1948 at the University of California, Berkeley, while working full time at the U.S. Weather Bureau and graduated with a PhD in Astronomy in January 1959. He remembered those times as tough days driving back and forth to Berkeley and living in Half-Moon Bay. Dr. Wark's professional career began in 1942 at the U.S. Naval Observatory, where he served as a Naval Officer until 1946. He then went to work for the U.S. Weather Bureau. He spent the first three years of that period in Istres, France, Frankfurt and Munich, Germany, and Cairo Egypt. From 1949 through 1958 he served at the Aviation Weather Forecast Office in San Francisco. He then moved to the U.S. Weather Bureau Office in Suitland, Maryland, where he worked from November 1958 until 3 July 1999, when he officially retired. He actually retired from NOAA because during this time, he saw the U.S. Weather Bureau become part of ESSA which, in turn, became a part the National Oceanic and Atmospheric Administration (NOAA) in 1970. But retirement did not stop his work or his contributions to science. In his last 3 years, Dr. Wark took a part-time post-retirement position at NOAA/NESDIS where he continued to work in the field he pioneered and to which he dedicated his life. One could not ta1k to Dr. Wark for long without learning of his keen interest in sailing. He was especia1ly proud of his 4-year adventure in which took periodic time from work to sail around the world (from 1982--1986) on his 38' cutter the Capella. During this time he (and a crew of 2) spent almost an entire year on the open seas, beginning the trip at Solomons, Maryland, and including stops in Ft. Lauderdale, Cancun, Panama, Galapagos Islands, French Polynesia, Cooke Islands, Niue, Tonga, Fiji, Vanuatu, Australia, Christmas Islands, Mauritius, Reunion, South Africa, St Helena, Brazil, the Virgin Islands and back home again along the North Carolina coast. His meteorological interest showed in the detailed series of bucket temperatures he took on this trip. On his return he obtained the corresponding satellite measurements and made comparisons between his temperatures and the surface temperatures measured by the satellite. He often made comments about how rare a cloud-free sky was, at least in the vicinity of oceans. A few years later he circumnavigated the eastern half of the United States via rivers, inter-coastal waterways, and canals, a trip of approximately 2000 miles. This voyage ended in 1990, when he was 72 years of age. Some of the segments of this voyage he sailed single-handedly, a remarkable achievement. This biography would not be complete without mentioning the famous cigars. Dr. Wark acquired a reputation among his colleagues for hardly ever being seen without a well-chewed cigar, damp on one end, lit on the other, in his hand. When computers were in their infancy, discs were not as well sealed as they are today, and the one in Dr. Wark's office seemed to experience an inordinate frequency of failures. Finally, in exasperation, he decided to investigate. On pulling the disc out and examining it with a microscope, he observed a speck of cigar ash that had landed on the disc's surface and scratched it. From that time on, although he was seldom seen without a tattered cigar, it was never lit when he was in his office. Dr. Wark was dedicated to his parents and the field of meteorology. This dedication was demonstrated when he provided a generous donation to the AMS to establish the Percival D. Wark and Clara B. (Mackey) Wark Scholarship. This is an annual scholarship to be awarded to a student majoring in atmospheric or related oceanic and hydrologic sciences. Dr. Wark is survived by his nephew Walter Damon Wark of no fixed address, and his great nephew Christopher Hal Wark of Fresno, California. His two brothers, Francis Walter and Robert Damon, as well as his sister, Dorothy Marie (née Wark) Schaertl, pre-deceased him.

  5. STAR Algorithm Integration Team - Facilitating operational algorithm development

    NASA Astrophysics Data System (ADS)

    Mikles, V. J.

    2015-12-01

    The NOAA/NESDIS Center for Satellite Research and Applications (STAR) provides technical support of the Joint Polar Satellite System (JPSS) algorithm development and integration tasks. Utilizing data from the S-NPP satellite, JPSS generates over thirty Environmental Data Records (EDRs) and Intermediate Products (IPs) spanning atmospheric, ocean, cryosphere, and land weather disciplines. The Algorithm Integration Team (AIT) brings technical expertise and support to product algorithms, specifically in testing and validating science algorithms in a pre-operational environment. The AIT verifies that new and updated algorithms function in the development environment, enforces established software development standards, and ensures that delivered packages are functional and complete. AIT facilitates the development of new JPSS-1 algorithms by implementing a review approach based on the Enterprise Product Lifecycle (EPL) process. Building on relationships established during the S-NPP algorithm development process and coordinating directly with science algorithm developers, the AIT has implemented structured reviews with self-contained document suites. The process has supported algorithm improvements for products such as ozone, active fire, vegetation index, and temperature and moisture profiles.

  6. Full Spectral Resolution Data Generation from the Cross-track Infrared Sounder on S-NPP at NOAA and its Use to Investigate Uncertainty in Methane Absorption Band Near 7.66 µm

    NASA Astrophysics Data System (ADS)

    Xiong, X.; Peischl, J.; Ryerson, T. B.; Sasakawa, M.; Han, Y.; Chen, Y.; Wang, L.; Tremblay, D.; Jin, X.; Zhou, L.; Liu, Q.; Weng, F.; Machida, T.

    2015-12-01

    The Cross-track Infrared Sounder (CrIS) on Suomi National Polar-orbiting Partnership Satellite (S-NPP) is a Fourier transform spectrometer for atmospheric sounding. CrIS on S-NPP started to provide measurements in 1305 channels in its normal mode since its launch on November 2011 to December 4, 2014, and after that it was switched to the full spectral resolution (FSR) mode, in which the spectral resolutions are 0.625 cm-1 in all the MWIR (1210-1750 cm-1), SWIR (2155-2550 cm-1) and the LWIR bands (650-1095 cm-1) with a total of 2211 channels. While the NOAA operational Sensor Data Record (SDR) processing (IDPS) continues to produce the normal resolution SDRs by truncating full spectrum RDR data, NOAA STAR started to process the FSR SDRs data since December 4, 2014 to present, and the data is being delivered through NOAA STAR website (ftp://ftp2.star.nesdis.noaa.gov/smcd/xxiong/). The current FSR processing algorithm was developed on basis of the CrIS Algorithm Development Library (ADL), and is the baseline of J-1 CrIS SDR algorithm. One major benefit to use the FSR data is to improve the retrieval of atmospheric trace gases, such as CH4, CO and CO2 . From our previous studies to retrieve CH4 using Atmospheric Infrared Sounder (AIRS) and Infrared Atmospheric Sounding Interferometer (IASI), it was found the uncertainty in the CH4 absorption band is up to 1-2%. So, in this study we computed the radiance using the community radiative transfer model (CRTM) and line-by-line model, with the inputs of "truth" of atmospheric temperature and moisture profiles from ECMWF model (and/or RAOB sounding) and CH4 profiles from in-situ aircraft measurements, then convoluted with the response function of CrIS. The difference between the simultaed radiance and the collocated CrIS FSR data is used to exam the uncertainty in these strong absorption channels.Through the improved fitting to the transmittance in these channels, it is expected to improve the retrieval of CH4 using CrIS on S-NPP and J-1. This presentation will introduce the processing of CrIS FSR data at NOAA and our effort to improve the retrieval of CH4 using CrIS. These results can be used for other hyperspectral thermal infrared sensors.

  7. Real-time Transmission and Distribution of NOAA Tail Doppler Radar Data and Other Data Products

    NASA Astrophysics Data System (ADS)

    Carswell, J.; Chang, P.; Robinson, D.; Gamache, J.; Hill, J.

    2011-12-01

    The NOAA WP-3D and G-IV aircraft have conducted and continue to conduct numerous research and operational measurement missions. However, typically only a fraction of the data collected aboard each flight is transmitted to the ground in near real-time utilizing low bandwidth satellite data links. The advancements in aircraft satellite phones have increased available bandwidth and reliability to a point where these systems can be utilized for near real-time data flow in support of decision making. A robust and flexible data delivery system has been developed by Remote Sensing Solutions with support from NOAA's National Environmental Satellite, Data and Information Service (NESDIS), Aircraft Operations Center (AOC) and Hurricane Forecast Improvement Project (HFIP). X-band Doppler/reflectivity measurements of tropical storms and cyclones collected from the NOAA WP-3D aircraft have been the most recent focus. Doppler measurements from volume backscatter precipitation profiles can provide critical observations of the horizontal winds as the precipitation advects with these winds. The data delivery system captures these profiles and send the radial Doppler profile observations to National Weather Service in near real-time over satellite communication data link. The design of this transmission system included features to enhance the reliability and robustness of the data flow from the P-3 aircraft to the end user. Routine real-time transmission, using this system, of the full resolution Tail Doppler Radar profile data to the ground and distribution to the NOAA's Hurricane Research Division for analysis and processing in support of initializing the operational HWRF model is planned. The end objective is to provide these Doppler profiles in a routine fashion to NWS and others in the forecasting community for operational utilization in support of hurricane forecasting and warning. Other data sources that are being collected and transmitted to the ground with this system for distribution in near real-time, include but are not limited to, the NOAA Lower Fuselage Radar reflectivity profiles, SFMR retrievals, flight level data, AXBT profiles and Imaging Wind and Rain Airborne Profiler data. The transmission and distribution of these data has a latency of only several seconds from initial acquisition on the aircraft to end users accessing the data through the Internet enabling end users to have a virtual seat on the aircraft and quick dissemination critical observations to the hurricane research, forecasting and modeling communities. In this presentation, the system capabilities and architecture will be described. Examples of the data products and data visualization tools (client applications) will be shown.

  8. Evaluation of VIIRS ocean color products

    NASA Astrophysics Data System (ADS)

    Wang, Menghua; Liu, Xiaoming; Jiang, Lide; Son, SeungHyun; Sun, Junqiang; Shi, Wei; Tan, Liqin; Naik, Puneeta; Mikelsons, Karlis; Wang, Xiaolong; Lance, Veronica

    2014-11-01

    The Suomi National Polar-orbiting Partnership (SNPP) was successfully launched on October 28, 2011. The Visible Infrared Imaging Radiometer Suite (VIIRS) onboard the Suomi NPP, which has 22 spectral bands (from visible to infrared) similar to the NASA's Moderate Resolution Imaging Spectroradiometer (MODIS), is a multi-disciplinary sensor providing observations for the Earth's atmosphere, land, and ocean properties. In this paper, we provide some evaluations and assessments of VIIRS ocean color data products, or ocean color Environmental Data Records (EDR), including normalized water-leaving radiance spectra nLw(λ) at VIIRS five spectral bands, chlorophyll-a (Chl-a) concentration, and water diffuse attenuation coefficient at the wavelength of 490 nm Kd(490). Specifically, VIIRS ocean color products derived from the NOAA Multi-Sensor Level-1 to Level-2 (NOAA-MSL12) ocean color data processing system are evaluated and compared with MODIS ocean color products and in situ measurements. MSL12 is now NOAA's official ocean color data processing system for VIIRS. In addition, VIIRS Sensor Data Records (SDR or Level- 1B data) have been evaluated. In particular, VIIRS SDR and ocean color EDR have been compared with a series of in situ data from the Marine Optical Buoy (MOBY) in the waters off Hawaii. A notable discrepancy of global deep water Chl-a derived from MODIS and VIIRS between 2012 and 2013 is observed. This discrepancy is attributed to the SDR (or Level-1B data) calibration issue and particularly related to VIIRS green band at 551 nm. To resolve this calibration issue, we have worked on our own sensor calibration by combining the lunar calibration effect into the current calibration method. The ocean color products derived from our new calibrated SDR in the South Pacific Gyre show that the Chl-a differences between 2012 and 2013 are significantly reduced. Although there are still some issues, our results show that VIIRS is capable of providing high-quality global ocean color products in support of science research and operational applications. The VIIRS evaluation and monitoring results can be found at the website: http://www.star.nesdis.noaa.gov/sod/mecb/color/index.html.

  9. Derivation of Coefficients for the Bidirectional Reflection Distribution Function from AVHRR-data over Europe, under Consideration of the Helmholtz Reciprocity Law

    NASA Astrophysics Data System (ADS)

    Billing, H.; Koslowsky, D.

    In the AVHRR data of the polar orbiting NOAA Satellites, directional reflectance under a certain view from satellite and a certain illumination by the sun is measured. Due to the nearly sunsynchroneous orbit of the NOAA satellite, each area is seen under different viewing angles in successive days. Only after approximately 9 days, the conditions are again similar. Areas, seen in specular direction, may appear only half as bright, as if seen in antispecular direction. This deviation from a Lambertian reflector is a function of the surface roughness and the degree of coverage with vegetation. The NOAA afternoon satellites drift by half an hour from year to year. Thus even data from the same season, but different years, are seen under different illumination conditions. To derive the bidirectional reflection distribution function in dependence on satellite viewing angle and solar illumination becomes a very complicated procedure. Using the Helmholtz reciprocity principle (HRP), i.e. the symetrie in viewing and illumination, reduces the problem by one dimension. For different bidimensional reflection laws it will be tested, whether they can be formulated to fullfill the HRP. Via regression, the parameters will be deduced for time series of AVHRR data of 10 years from NOAA 11,14,16 and 17. Brdfunctions, suggested by Rao as well as a law, suggested by Ba seem to become unstable for low sun resp. large viewing zenit angles. Only brdfs with 4 coefficients can fit the observed distributions. A nonlinear temporal angular model (NTAM), suggested by Latifovic,Cihlar and Chen, seems to be suitable to describe even the hot spot and the dependence on plant growth. The coefficients of these brdf-function will be derived via regression for monthly series of cloud free data for the European area, where AVHRR data in full resolution are received in Berlin. Using these coefficients, monthly maps of surface roughness are produced for the above area for the time since 1985. Ba, M.B., Deschamps, P.-Y.,Frouin, R. 1995. Error reduction in NOAA satellite monitoring of the land surface vegetation during FIFE. J. Geophys. Res., 100: 25537-25548. Rao, C.R.N., Chen, J., 1994. Post-launch calibration of the visible and near infrared channels of the advanced very high resolution radiometer on NOAA-7,- 9, and -11 spacecraft. NOAA Technical Report NESDIS 78. Latifovic, R., Chilar, J., Chen, J., 2003. A Comparison of BRDF Models for the Normalisation of Satellite Optical Data to a Standard Sun-Target- Sensor Geometry. IEEE Transactions on Geoscience and Remote Sensing, Vol.41, No.8, 1889 - 1898.

  10. Improved Atmospheric Boundary Layer Observations of Tropical Cyclones with the Imaging Wind and Rain Airborne Profiler

    NASA Technical Reports Server (NTRS)

    Fernandez, D. Esteban; Chang, P.; Carswel, J.; Contreras, R.; Chu, T.; Asuzu, P.; Black, P.; Marks, F.

    2006-01-01

    The Imaging Wind and Rain Arborne Profilers (IWRAP) is a dual-frequency, conically-scanning Doppler radar that measures high-resolution, dual-polarized, multi-beam C- and Ku-band reflectivity and Doppler velocity profiles of the atmospheric boundary layer (ABL) within the inner core of hurricanes.From the datasets acquired during the 2002 through 20O5 hurricane seasons as part of the ONR Coupled Boundary Layer Air-Sea Transfer (CBLAST) program and the NOAA/NESDIS Ocean Winds and Rain experiments, very high resolution radar observations of hurricanes have been acquired and made available to the CBLAST community. Of particular interest am the ABL wind fields and 3-D structures found within the inner core of hurricanes. As a result of these analysis, a limitation in the ability to retrieve the ABL wind field at very low altitudes was identified. This paper shows how this limitation has been removed and presents initial results demonstrating its new capabilities to derive the ABL wind field within the inner are of hurricanes to much lower altitudes than the ones the original system was capable of.

  11. The ATOVS and AVHRR product processing facility for EPS

    NASA Astrophysics Data System (ADS)

    Klaes, D.; Ackermann, J.; Schraidt, R.; Patterson, T.; Schlüssel, P.; Phillips, P.; Arriaga, A.; Grandell, J.

    The ATOVS/AVHRR Product Processing Facility (PPF) of the EPS (EUMETSAT Polar System) Core Ground Segment comprises the Level 1 processing of the data from the ATOVS sounding instruments AMSU-A, MHS and HIRS/4, and the imager AVHRR/3 into calibrated and navigated radiances. A second component includes the level 2 processing, which uses as input the level 1 products of the aforementioned instruments. The specification of the PPF is based on two well-known and well-established software packages, which have been used by the international community for some years: The AAPP (ATOVS and AVHRR Pre-processing Package) and ICI (Inversion Coupled with Imager). The PPF is able to process data from instruments flown on the Metop and NOAA satellites. For the level 1 processing of the sounding instruments' data (HIRS, AMSU-A and MHS), the basic functionality of AAPP has been kept; however, the individual chains for each instrument have been separated and additional functionality has been integrated. For HIRS a global calibration, as performed by NOAA/NESDIS today, has been included. For AMSU-A and MHS the moon contamination of the calibration space view can be corrected for. Additional functionality has also been included in the AVHRR processing. In particular, an enhanced navigation by landmark processing has been implemented to ensure accurate geo-location. Additionally, the PPF can digest and process the global AVHRR data either at full pixel resolution (1 km at nadir), which is the nominal mode for the Metop processing, or at the reduced resolution of the NOAA/GAC (Global Area Coverage) data (about 4 km resolution at nadir). For the level 2 processing the ICI had to be modified to include the most recent improvement in fast radiative transfer modelling as included in the RTTOV-7. As a first step towards the realisation of the PPF a prototype has been generated for the purpose to help specifying the details of the PPF, and for verification of the latter by generation of reference and test data. The prototype is able to process HRPT data, GAC data from the NOAA satellite active archive (SAA), and also Local Area Coverage (LAC) data. GAC data processing means that the processing of whole orbits is possible. Current work is aimed to assess the quality of the Level 2 retrievals and to generate reference test data for the operational PPF.

  12. AEROSE 2004 - An Interdisciplinary Atmosphere-Ocean Saharan Dust Expedition

    NASA Astrophysics Data System (ADS)

    Clemente-Colón, P.

    2004-05-01

    The NOAA Center for Atmospheric Sciences (NCAS) is sponsoring a Trans-Atlantic Saharan Dust AERosol and Ocean Science Expedition (AEROSE) aboard the NOAA Ship Ronald H. Brown in March 2004. The fundamental purpose of this aerosol cruise is to study the impacts and microphysical evolution of Saharan dust aerosol as it is transported across the Atlantic Ocean. The mission encompasses both, atmospheric and oceanographic components. Participating institutions include Howard University, NCAS lead institution, the University of Puerto Rico at Mayagüez, the Canary Institute of Marine Sciences, the Spanish Institute of Oceanography, the Laboratory of Atmospheric Physics Siméon Fongang, the University of Miami Rosenstiel School of Marine and Atmospheric Science, the University of Washington Applied Physics Laboratory, NASA Goddard Space Flight Center, the NOAA Cooperative Institute for Meteorological Satellite Studies at the University of Wisconsin-Madison, NASA Jet Propulsion Laboratory, and the NOAA/NESDIS Office of Research and Applications. This collaboration provides unique atmospheric and oceanic observations across the North Tropical Atlantic during eastward and westward tracks during a period of nearly one month. Characterization of microphysical properties of Saharan dust aerosol is done trough direct observations of mass, size, and particle number distributions, chemical composition, spatial distributions, and air chemistry. Aerosol radiative properties are studied through a suite of sensors that include a Multi-Angle Absorption Photometer (MAAP), the Marine-Atmosphere Emitted Radiance Interferometer (M-AERI), sunphotometers, and an assortment of other radiometers. Characterization of atmospheric conditions is done through a combination of over 250 radiosonde and ozonesonde launches at 3 to 5 hour intervals during the duration of the cruise and in coordination with satellite overpasses. AEROSE is also supporting the collection of bio-optics and oceanographic observations including water sampling, spectroradiometry, and continuous in-water optical measurements using and under-tow undulating instrument aimed at investigate deposition rates of aerosol and the response of oceanographic systems. Additionally, the cruise effort provides complementary in-situ and remote sensing observations that support the validation and improvement of AVHRR SST corrections under tropospheric aerosol conditions, the validation of MODIS aerosol and oceanographic data and products, the validation of AIRS soundings, and the validation of ICESat aerosol observations, among other activities. An overview of the cruise, available datasets, preliminary results, and follow-on research plans are be presented in this paper.

  13. JPSS Preparations at the Satellite Proving Ground for Marine, Precipitation, and Satellite Analysis

    NASA Astrophysics Data System (ADS)

    Folmer, M. J.; Berndt, E.; Clark, J.; Orrison, A.; Kibler, J.; Sienkiewicz, J. M.; Nelson, J. A., Jr.; Goldberg, M.

    2016-12-01

    The National Oceanic and Atmospheric Administration (NOAA) Satellite Proving Ground (PG) for Marine, Precipitation, and Satellite Analysis (MPS) has been demonstrating and evaluating Suomi National Polar-orbiting Partnership (S-NPP) products along with other polar-orbiting satellite platforms in preparation for the Joint Polar Satellite System - 1 (JPSS-1) launch in March 2017. The first S-NPP imagery was made available to the MPS PG during the evolution of Hurricane Sandy in October 2012 and has since been popular in operations. Since this event the MPS PG Satellite Liaison has been working with forecasters on ways to integrate single-channel and multispectral imagery from the Visible Infrared Imaging Radiometer Suite (VIIRS), the Moderate Resolution Imaging Spectroradiometer (MODIS), and the Advanced Very High Resolution Radiometer (AVHRR)into operations to complement numerical weather prediction and geostationary satellite savvy National Weather Service (NWS) National Centers. Additional unique products have been introduced to operations to address specific forecast challenges, including the Cooperative Institute for Research in the Atmosphere (CIRA) Layered Precipitable Water, the National Environmental Satellite, Data, and Information Service (NESDIS) Snowfall Rate product, NOAA Unique Combined Atmospheric Processing System (NUCAPS) Soundings, ozone products from the Atmospheric Infrared Sounder (AIRS), Cross-track Infrared Sounder/Advanced Technology Microwave Sounder (CrIS/ATMS), and Infrared Atmospheric Sounding Interferometer (IASI). In addition, new satellite domains have been created to provide forecasters at the NWS Ocean Prediction Center and Weather Prediction Center with better quality imagery at high latitudes. This has led to research projects that are addressing forecast challenges such as tropical to extratropical transition and explosive cyclogenesis. This presentation will provide examples of how the MPS PG has been introducing and integrating these products into operations to help solve these forecast challenges.

  14. Improved Hurricane Boundary Layer Observations with the Imaging Wind and Rain Airborne Profiler

    NASA Technical Reports Server (NTRS)

    Esteban-Fernandez, Daniel; Changy, P.; Carswell, J.; Contreras, R.; Chu, T.

    2006-01-01

    During the NOAA/NESDIS 2005 Hurricane Season (HS2005) and the 2006 Winter Experiment, the University of Massachusetts (UMass) installed two instruments on the NOAA N42RF WP-3D research aircraft: the Imaging Wind and Rain Airborne Profiler (IWRAP) and the Simultaneous Frequency Microwave Radiometer (SFMR). IWRAP is a dual-band (C- and Ku), dual-polarized pencil-beam airborne radar that profiles the volume backscatter and Doppler velocity from rain and that also measures the ocean backscatter response. It simultaneously profiles along four separate incidence angles while conically scanning at 60 RPM. SFMR is a C-band nadir viewing radiometer that measures the emission from the ocean surface and intervening atmosphere simultaneously at six frequencies. It is designed to obtain the surface wind speed and the column average rain rate. Both instruments have previously been flown during the 2002, 2003 and 2004 hurricane seasons. For the HS2005, the IWRAP system was modified to implement a raw data acquisition system. The importance of the raw data system arises when trying to profile the atmosphere all the way down to the surface with a non-nadir looking radar system. With this particular geometry, problems arise mainly from the fact that both rain and ocean provide a return echo coincident in time through the antenna s main lobe. This paper shows how this limitation has been removed and presents initial results demonstrating its new capabilities to derive the atmospheric boundary layer (ABL) wind field within the inner core of hurricanes to much lower altitudes than the ones the original system was capable of, and to analyze the spectral response of the ocean backscatter and the rain under different wind and rain conditions.

  15. NASA SPoRT Modeling and Data Assimilation Research and Transition Activities Using WRF, LIS and GSI

    NASA Technical Reports Server (NTRS)

    Case, Jonathan L.; Blankenship, Clay B.; Zavodsky, Bradley T.; Srikishen, Jayanthi; Berndt, Emily B.

    2014-01-01

    weather research and forecasting ===== The NASA Short-term Prediction Research and Transition (SPoRT) program has numerous modeling and data assimilation (DA) activities in which the WRF model is a key component. SPoRT generates realtime, research satellite products from the MODIS and VIIRS instruments, making the data available to NOAA/NWS partners running the WRF/EMS, including: (1) 2-km northwestern-hemispheric SST composite, (2) daily, MODIS green vegetation fraction (GVF) over CONUS, and (3) NASA Land Information System (LIS) runs of the Noah LSM over the southeastern CONUS. Each of these datasets have been utilized by specific SPoRT partners in local EMS model runs, with select offices evaluating the impacts using a set of automated scripts developed by SPoRT that manage data acquisition and run the NCAR Model Evaluation Tools verification package. SPoRT is engaged in DA research with the Gridpoint Statistical Interpolation (GSI) and Ensemble Kalman Filter in LIS for soil moisture DA. Ongoing DA projects using GSI include comparing the impacts of assimilating Atmospheric Infrared Sounder (AIRS) radiances versus retrieved profiles, and an analysis of extra-tropical cyclones with intense non-convective winds. As part of its Early Adopter activities for the NASA Soil Moisture Active Passive (SMAP) mission, SPoRT is conducting bias correction and soil moisture DA within LIS to improve simulations using the NASA Unified-WRF (NU-WRF) for both the European Space Agency's Soil Moisture Ocean Salinity and upcoming SMAP mission data. SPoRT has also incorporated real-time global GVF data into LIS and WRF from the VIIRS product being developed by NOAA/NESDIS. This poster will highlight the research and transition activities SPoRT conducts using WRF, NU-WRF, EMS, LIS, and GSI.

  16. VIIRS validation and algorithm development efforts in coastal and inland Waters

    NASA Astrophysics Data System (ADS)

    Stengel, E.; Ondrusek, M.

    2016-02-01

    Accurate satellite ocean color measurements in coastal and inland waters are more challenging than open-ocean measurements. Complex water and atmospheric conditions can limit the utilization of remote sensing data in coastal waters where it is most needed. The Coastal Optical Characterization Experiment (COCE) is an ongoing project at NOAA/NESDIS/STAR Satellite Oceanography and Climatology Division. The primary goals of COCE are satellite ocean color validation and application development. Currently, this effort concentrates on the initialization and validation of the Joint Polar Satellite System (JPSS) VIIRS sensor using a Satlantic HyperPro II radiometer as a validation tool. A report on VIIRS performance in coastal waters will be given by presenting comparisons between in situ ground truth measurements and VIIRS retrievals made in the Chesapeake Bay, and inland waters of the Gulf of Mexico and Puerto Rico. The COCE application development effort focuses on developing new ocean color satellite remote sensing tools for monitoring relevant coastal ocean parameters. A new VIIRS total suspended matter algorithm will be presented for the Chesapeake Bay. These activities improve the utility of ocean color satellite data in monitoring and analyzing coastal and oceanic processes. Progress on these activities will be reported.

  17. Development and Applications of the GOES Sounder Products

    NASA Astrophysics Data System (ADS)

    Li, Jun; Menzel, W. P.; Li, Z.; Wade, G.; Schmit, T. J.; Li, J. L.; Aune, R.; Schreiner, A. J.; Schmidt, C. C.; Genkova, I.

    Since 1994 a new generation of Geostationary Operational Environmental Satellite GOES Sounders GOES-8 9 10 11 12 has been measuring radiances in 18 infrared spectral bands ranging from approximately 3 7um - 14 7 um This data has been used to provide atmospheric sounding and cloud products for meteorological applications on an hourly basis over North America and adjacent oceanic regions The products include atmospheric temperature and moisture profiles total precipitable water cloud-top pressure water-vapor tracked winds etc Products are generated operationally by NOAA NESDIS in Washington D C Some Sounder products including total column ozone are also produced at the Cooperative Institute for Meteorological Satellite Studies at the University of Wisconsin-Madison Applications of those products include nowcasting and forecasting of weather events assimilation of cloud products into regional numerical forecast models and monitoring of temperature and moisture changes during active convective periods The impact of GOES Sounder products on numerical model forecasts will be demonstrated Furthermore recent improvements to several of the products have been made by taking into account the GOES Sounder temporal and spatial information within the processing algorithms These improvements and implications thereof will be presented and discussed

  18. Operational Satellite-based Surface Oil Analyses (Invited)

    NASA Astrophysics Data System (ADS)

    Streett, D.; Warren, C.

    2010-12-01

    During the Deepwater Horizon spill, NOAA imagery analysts in the Satellite Analysis Branch (SAB) issued more than 300 near-real-time satellite-based oil spill analyses. These analyses were used by the oil spill response community for planning, issuing surface oil trajectories and tasking assets (e.g., oil containment booms, skimmers, overflights). SAB analysts used both Synthetic Aperture Radar (SAR) and high resolution visible/near IR multispectral satellite imagery as well as a variety of ancillary datasets. Satellite imagery used included ENVISAT ASAR (ESA), TerraSAR-X (DLR), Cosmo-Skymed (ASI), ALOS (JAXA), Radarsat (MDA), ENVISAT MERIS (ESA), SPOT (SPOT Image Corp.), Aster (NASA), MODIS (NASA), and AVHRR (NOAA). Ancillary datasets included ocean current information, wind information, location of natural oil seeps and a variety of in situ oil observations. The analyses were available as jpegs, pdfs, shapefiles and through Google, KML files and also available on a variety of websites including Geoplatform and ERMA. From the very first analysis issued just 5 hours after the rig sank through the final analysis issued in August, the complete archive is still publicly available on the NOAA/NESDIS website http://www.ssd.noaa.gov/PS/MPS/deepwater.html SAB personnel also served as the Deepwater Horizon International Disaster Charter Project Manager (at the official request of the USGS). The Project Manager’s primary responsibility was to acquire and oversee the processing and dissemination of satellite data generously donated by numerous private companies and nations in support of the oil spill response including some of the imagery described above. SAB has begun to address a number of goals that will improve our routine oil spill response as well as help assure that we are ready for the next spill of national significance. We hope to (1) secure a steady, abundant and timely stream of suitable satellite imagery even in the absence of large-scale emergencies such as Deepwater Horizon, (2) acquire a 24 x 7 oil spill response capability at least on a pre-operational basis, (3) acquire improved and expanded ancillary datasets, (4) reduce the number of false positives (analyzed oil that is not actually oil), (5) acquire the ability to reliably differentiate, at least in general qualitative terms, thick oil (“recoverable oil”) from oil sheens, and (6) join our Canadian counterparts (the Integrated Satellite Tracking of Pollution group in Environment Canada) to create a joint North American center for oil spill response.

  19. NESDIS OSPO Data Access Policy and CRM

    NASA Astrophysics Data System (ADS)

    Seybold, M. G.; Donoho, N. A.; McNamara, D.; Paquette, J.; Renkevens, T.

    2012-12-01

    The Office of Satellite and Product Operations (OSPO) is the NESDIS office responsible for satellite operations, product generation, and product distribution. Access to and distribution of OSPO data was formally established in a Data Access Policy dated February, 2011. An extension of the data access policy is the OSPO Customer Relationship Management (CRM) Database, which has been in development since 2008 and is reaching a critical level of maturity. This presentation will provide a summary of the data access policy and standard operating procedure (SOP) for handling data access requests. The tangential CRM database will be highlighted including the incident tracking system, reporting and notification capabilities, and the first comprehensive portfolio of NESDIS satellites, instruments, servers, applications, products, user organizations, and user contacts. Select examples of CRM data exploitation will show how OSPO is utilizing the CRM database to more closely satisfy the user community's satellite data needs with new product promotions, as well as new data and imagery distribution methods in OSPO's Environmental Satellite Processing Center (ESPC). In addition, user services and outreach initiatives from the Satellite Products and Services Division will be highlighted.

  20. Remote rainfall sensing for landslide hazard analysis

    USGS Publications Warehouse

    Wieczorek, Gerald F.; McWreath, Harry; Davenport, Clay

    2001-01-01

    Methods of assessing landslide hazards and providing warnings are becoming more advanced as remote sensing of rainfall provides more detailed temporal and spatial data on rainfall distribution. Two recent landslide disasters are examined noting the potential for using remotely sensed rainfall data for landslide hazard analysis. For the June 27, 1995, storm in Madison County, Virginia, USA, National Weather Service WSR-88D Doppler radar provided rainfall estimates based on a relation between cloud reflectivity and moisture content on a 1 sq. km. resolution every 6 minutes. Ground-based measurements of rainfall intensity and precipitation total, in addition to landslide timing and distribution, were compared with the radar-derived rainfall data. For the December 14-16, 1999, storm in Vargas State, Venezuela, infrared sensing from the GOES-8 satellite of cloud top temperatures provided the basis for NOAA/NESDIS rainfall estimates on a 16 sq. km. resolution every 30 minutes. These rainfall estimates were also compared with ground-based measurements of rainfall and landslide distribution. In both examples, the remotely sensed data either overestimated or underestimated ground-based values by up to a factor of 2. The factors that influenced the accuracy of rainfall data include spatial registration and map projection, as well as prevailing wind direction, cloud orientation, and topography.

  1. Consistency of two global MODIS aerosol products over ocean on Terra and Aqua CERES SSF datasets

    NASA Astrophysics Data System (ADS)

    Ignatov, Alexander; Minnis, Patrick; Wielicki, Bruce; Loeb, Norman G.; Remer, Lorraine A.; Kaufman, Yoram J.; Miller, Walter F.; Sun-Mack, Sunny; Laszlo, Istvan; Geier, Erika B.

    2004-12-01

    MODIS aerosol retrievals over ocean from Terra and Aqua platforms are available from the Clouds and the Earth's Radiant Energy System (CERES) Single Scanner Footprint (SSF) datasets generated at NASA Langley Research Center (LaRC). Two aerosol products are reported side by side. The primary M product is generated by subsetting and remapping the multi-spectral (0.44 - 2.1 μm) MOD04 aerosols onto CERES footprints. MOD04 processing uses cloud screening and aerosol algorithms developed by the MODIS science team. The secondary (AVHRR-like) A product is generated in only two MODIS bands: 1 and 6 on Terra, and ` and 7 on Aqua. The A processing uses NASA/LaRC cloud-screening and NOAA/NESDIS single channel aerosol algorthm. The M and A products have been documented elsewhere and preliminarily compared using two weeks of global Terra CERES SSF (Edition 1A) data in December 2000 and June 2001. In this study, the M and A aerosol optical depths (AOD) in MODIS band 1 and (0.64 μm), τ1M and τ1A, are further checked for cross-platform consistency using 9 days of global Terra CERES SSF (Edition 2A) and Aqua CERES SSF (Edition 1A) data from 13 - 21 October 2002.

  2. Real-time Volcanic Cloud Products and Predictions for Aviation Alerts

    NASA Astrophysics Data System (ADS)

    Krotkov, N. A.; Hughes, E. J.; da Silva, A. M., Jr.; Seftor, C. J.; Brentzel, K. W.; Hassinen, S.; Heinrichs, T. A.; Schneider, D. J.; Hoffman, R.; Myers, T.; Flynn, L. E.; Niu, J.; Theys, N.; Brenot, H. H.

    2016-12-01

    We will discuss progress of the NASA ASP project, which promotes the use of satellite volcanic SO2 (VSO2) and Ash (VA) data, and forecasting tools that enhance VA Decision Support Systems (DSS) at the VA Advisory Centers (VAACs) for prompt aviation warnings. The goals are: (1) transition NASA algorithms to NOAA for global NRT processing and integration into DSS at Washington VAAC for operational users and public dissemination; (2) Utilize Direct Broadcast capability of the Aura and SNPP satellites to process Direct Readout (DR) data at two high latitude locations in Finland and Fairbanks, Alaska to enhance VA DSS in Europe and at USGS's Alaska Volcano Observatory (AVO) and Alaska-VAAC; (3) Improve global Eulerian model-based VA/VSO2 forecasting and risk/cost assessments with Metron Aviation. Our global NRT OMI and OMPS data have been fully integrated into European Support to Aviation Control Service and NOAA operational web sites. We are transitioning OMPS processing to our partners at NOAA/NESDIS to integrate into operational processing environment. NASA's Suomi NPP Ozone Science Team, in conjunction with GSFC's Direct Readout Laboratory (DRL), have implemented Version 2 of the OMPS real-time DR processing package to generate VSO2 and VA products at the Geographic Information Network of Alaska (GINA) and the Finnish Meteorological Institute (FMI). The system provides real-time coverage over some of the most congested airspace and over many of the most active volcanoes in the world. The OMPS real time capability is now publicly available via DRL's IPOPP package. We use satellite observations to define volcanic source term estimates in the NASA GOES-5 model, which was updated allowing for the simulation of VA and VSO2 clouds. Column SO2 observations from SNPP/OMPS provide an initial estimate of the total cloud SO2 mass, and are used with backward transport analysis to make an initial cloud height estimate. Later VSO2 observations are used to "nudge" the SO2 mass within the model. The GEOS-5 simulations provide qualitative forecasts, which locate the extent of regions hazardous to aviation. Air traffic flow algorithms have been developed by Metron Aviation to use GEOS-5 volcanic simulations to determine the most cost-effective rerouting paths around hazardous volcanic clouds.

  3. Reconstruction and downscaling of Eastern Mediterranean OSCAR satellite surface current data using DINEOF

    NASA Astrophysics Data System (ADS)

    Nikolaidis, Andreas; Stylianou, Stavros; Georgiou, Georgios; Hajimitsis, Diofantos; Gravanis, Elias; Akylas, Evangelos

    2015-04-01

    During the last decade, Rixen (2005) and Alvera-Azkarate (2010) presented the DINEOF (Data Interpolating Empirical Orthogonal Functions) method, a EOF-based technique to reconstruct missing data in satellite images. The application of DINEOF method, proved to provide relative success in various experimental trials (Wang and Liu, 2013; Nikolaidis et al., 2013;2014), and tends to be an effective and computationally affordable solution, on the problem of data reconstruction, for missing data from geophysical fields, such as chlorophyll-a, sea surface temperatures or salinity and geophysical fields derived from satellite data. Implementation of this method in a GIS system will provide with a more complete, integrated approach, permitting the expansion of the applicability over various aspects. This may be especially useful in studies where various data of different kind, have to be examined. For this purpose, in this study we have implemented and present a GIS toolbox that aims to automate the usage of the algorithm, incorporating the DINEOF codes provided by GHER (GeoHydrodynamics and Environment Research Group of University of Liege) into the ArcGIS®. ArcGIS® is a well known standard on Geographical Information Systems, used over the years for various remote sensing procedures, in sea and land environment alike. A case-study of filling the missing satellite derived current data in the Eastern Mediterranean Sea area, for a monthly period is analyzed, as an example for the effectiveness and simplicity of the usage of this toolbox. The specific study focuses to OSCAR satellite data (http://www.oscar.noaa.gov/) collected by NOAA/NESDIS Operational Surface Current Processing and Data Center, from the respective products of OSCAR Project Office Earth and Space Research organization, that provides free online access to unfiltered (1/3 degree) resolution. All the 5-day mean products data coverage were successfully reconstructed. KEY WORDS: Remote Sensing, Cyprus, Mediterranean, DINEOF, ArcGIS, data reconstruction.

  4. Integrating Polar-Orbiting Products into the Forecast Routine for Explosive Cyclogenesis and Extratropical Transition

    NASA Astrophysics Data System (ADS)

    Folmer, M. J.; Berndt, E.; Malloy, K.; Mazur, K.; Sienkiewicz, J. M.; Phillips, J.; Goldberg, M.

    2017-12-01

    The Joint Polar Satellite System (JPSS) was added to the Satellite Proving Ground for Marine, Precipitation, and Satellite Analysis in late 2012, just in time to introduce forecasters to the very high-resolution imagery available from the Suomi-National Polar Partnership (S-NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) instrument when observing and forecasting Hurricane Sandy (2012). Since that time, more polar products have been introduced to the forecast routines at the National Weather Service (NWS) Ocean Prediction Center (OPC), Weather Prediction Center (WPC), Tropical Analysis and Forecast Branch (TAFB) of the National Hurricane Center (NHC), and the Satellite Analysis Branch (SAB) of the National Environmental Satellite, Data, and Information Service (NESDIS). These new data sets have led to research projects at the OPC and TAFB that have specifically been looking into the early identification of stratospheric intrusions that lead to explosive cyclogenesis or extratropical transition of tropical cyclones. Currently NOAA Unique CrIS/ATMS Processing System (NUCAPS) temperature and moisture soundings are available in AWIPS-II as a point-based display. Traditionally soundings are used to anticipate and forecast severe convection, however unique and valuable information can be gained from soundings for other forecasting applications, such as extratropical transition, especially in data sparse regions. Additional research has been conducted to look at how JPSS CrIS/ATMS NUCAPS soundings might help forecasters identify the pre-extratropical transition or pre-explosive cyclogenesis environments, leading to earlier diagnosis and better public advisories. CrIS/ATMS NUCAPS soundings, IASI and NUCAPS ozone products, NOAA G-IV GPS dropwindsondes, the Air Mass RGB, and single water vapor channels have been analyzed to look for the precursors to these high impact events. This presentation seeks to show some early analysis and potential uses of the polar-orbiting datasets to compliment the geostationary imagery and therefore lead to earlier identification and possible warnings.

  5. Warm Ocean Temperatures Blanket the Far-Western Pacific

    NASA Technical Reports Server (NTRS)

    2001-01-01

    These data, taken during a 10-day collection cycle ending March 9, 2001, show that above-normal sea-surface heights and warmer ocean temperatures(indicated by the red and white areas) still blanket the far-western tropical Pacific and much of the north (and south) mid-Pacific. Red areas are about 10centimeters (4 inches) above normal; white areas show the sea-surface height is between 14 and 32 centimeters (6 to 13 inches) above normal.

    This build-up of heat dominating the Western Pacific was first noted by TOPEX/Poseidon oceanographers more than two years ago and has outlasted the El Nino and La Nina events of the past few years. See: http://www.jpl.nasa.gov/elnino/990127.html . This warmth contrasts with the Bering Sea, Gulf of Alaska and tropical Pacific where lower-than-normal sea levels and cool ocean temperatures continue (indicated by blue areas). The blue areas are between 5 and 13centimeters (2 and 5 inches) below normal, whereas the purple areas range from 14 to 18 centimeters (6 to 7 inches) below normal. Actually, the near-equatorial ocean cooled through the fall of 2000 and into mid-winter and continues almost La Nina-like.

    Looking at the entire Pacific basin, the Pacific Decadal Oscillation's warm horseshoe and cool wedge pattern still dominates this sea-level height image. Most recent National Oceanic and Atmospheric Administration (NOAA) sea-surface temperature data also clearly illustrate the persistence of this basin-wide pattern. They are available at http://psbsgi1.nesdis.noaa.gov:8080/PSB/EPS/SST/climo.html

    The U.S.-French TOPEX/Poseidon mission is managed by JPL for NASA's Earth Science Enterprise, Washington, D.C. JPL is a division of the California Institute of Technology in Pasadena. For more information on the TOPEX/Poseidon project, see: http://topex-www.jpl.nasa.gov

  6. A satellite-based climatology (1989-2012) of lake surface water temperature from AVHRR 1-km for Central European water bodies

    NASA Astrophysics Data System (ADS)

    Riffler, Michael; Wunderle, Stefan

    2013-04-01

    The temperature of lakes is an important parameter for lake ecosystems influencing the speed of physio-chemical reactions, the concentration of dissolved gazes (e.g. oxygen), and vertical mixing. Even small temperature changes might have irreversible effects on the lacustrine system due to the high specific heat capacity of water. These effects could alter the quality of lake water depending on parameters like lake size and volume. Numerous studies mention lake water temperature as an indicator of climate change and in the Global Climate Observing System (GCOS) requirements it is listed as an essential climate variable. In contrast to in situ observations, satellite imagery offers the possibility to derive spatial patterns of lake surface water temperature (LSWT) and their variability. Moreover, although for some European lakes long in situ time series are available, the temperatures of many lakes are not measured or only on a non-regular basis making these observations insufficient for climate monitoring. However, only few satellite sensors offer the possibility to analyze time series which cover more than 20 years. The Advanced Very High Resolution Radiometer (AVHRR) is among these and has been flown on the National Oceanic and Atmospheric Administration (NOAA) Polar Operational Environmental Satellites (POES) and on the Meteorological Operational Satellites (MetOp) from the European Organisation for the Exploitation of Meteorological Satellites (EUMETSAT) as a heritage instrument for almost 35 years. It will be carried on for at least ten more years finally offering a unique opportunity for satellite-based climate studies. Herein we present the results from a study initiated by the Swiss GCOS office to generate a satellite-based LSWT climatology for the pre-alpine water bodies in Switzerland. It relies on the extensive AVHRR 1-km data record (1985-2012) of the Remote Sensing Research Group at the University of Bern (RSGB) and has been derived from the AVHRR/2 (NOAA-11, -14) and AVHRR/3 (NOAA-16, -17, -18, -19 and Metop-A). A high accuracy is needed for climate related studies, which requires a careful pre-processing and consideration of the atmospheric state. Especially data from NOAA-16 and prior satellites were prone to unwanted noise, e.g., due to transmission errors or fluctuations in the instrument's thermal state. This has resulted in partly corrupted thermal calibration data and may cause errors of up to several Kelvin in the final brightness temperatures. Therefore, a multistage correction scheme has been applied to the data, in order to minimize these artefacts in the satellite observations. For the LSWT retrieval we have tested three different methods. First, we applied the operational NOAA National Environmental Satellite, Data, and Information Service (NESDIS) and NOAA Pathfinder global sea surface temperature (SST) algorithms to our data set. In addition, we developed an optimized simulation-based scheme making use of the Radiative Transfer for TOVS (RTTOV) Version 10 together with operational analysis and reanalysis data from the European Centre for Medium Range Weather Forecasts (ECMWF). All methods were validated extensively using in situ measurements from lakes with various sizes between 14 km2 (Lake Sempach) and 580 km2 (Lake Geneva). The simulation-based algorithm reduces the RMSE and Bias for the lakes in the study region of Switzerland compared to the global SST algorithms and even small lakes yield good results. Following these successful outcome, the model-based LSWT retrieval shall be expanded to all European lakes covered and recorded by the AVHRR data receiving station at the RSGB.

  7. Observations of the Winter Thermal Structure of Lake Superior

    NASA Astrophysics Data System (ADS)

    Titze, Daniel James

    Moored thermistor strings that span the water column have been deployed at up to seven locations throughout Lake Superior from 2005 through present, producing a unique year-round record of the thermal structure of a large lake. This extensive temperature record reveals significant interannual and spatial variability in Lake Superior's winter heat content, thermocline depth, and phenology. Of particular mention is a stark contrast in thermal structure between the cold, icy winter of 2009 and the much warmer winter of 2012, during which especially strong and weak negative stratification was observed, respectively. Significant interannual and spatial variability was also observed in Lake Superior ice cover, as shown through data extracted from Ice Mapping System satellite imagery (NOAA/NESDIS 2004). When water column heat content was estimated from temperature data and analyzed in concert with lake ice-cover data, it was found that ice cover can inhibit heat flux between the lake and the atmosphere, and that spatial variability in ice cover can translate into spatial variability in end-of-winter heat content. Such variability in end-of-winter heat content is found to be preserved through the spring warming season, and is strongly correlated with variability in the timing of the onset of summer stratification, with regions that have warmer end-of-winter water columns stratifying earlier than regions with colder end-of-winter water-columns.

  8. The Use of OMPS Near Real Time Products in Volcanic Cloud Risk Mitigation and Smoke/Dust Air Quality Assessments

    NASA Astrophysics Data System (ADS)

    Seftor, C. J.; Krotkov, N. A.; McPeters, R. D.; Li, J. Y.; Durbin, P. B.

    2015-12-01

    Near real time (NRT) SO2 and aerosol index (AI) imagery from Aura's Ozone Monitoring Instrument (OMI) has proven invaluable in mitigating the risk posed to air traffic by SO2 and ash clouds from volcanic eruptions. The OMI products, generated as part of NASA's Land, Atmosphere Near real-time Capability for EOS (LANCE) NRT system and available through LANCE and both NOAA's NESDIS and ESA's Support to Aviation Control Service (SACS) portals, are used to monitor the current location of volcanic clouds and to provide input into Volcanic Ash (VA) advisory forecasts. NRT products have recently been developed using data from the Ozone Mapping and Profiler Suite onboard the Suomi NPP platform; they are currently being made available through the SACS portal and will shortly be incorporated into the LANCE NRT system. We will show examples of the use of OMPS NRT SO2 and AI imagery to monitor recent volcanic eruption events. We will also demonstrate the usefulness of OMPS AI imagery to detect and track dust storms and smoke from fires, and how this information can be used to forecast their impact on air quality in areas far removed from their source. Finally, we will show SO2 and AI imagery generated from our OMPS Direct Broadcast data to highlight the capability of our real time system.

  9. Transition of the GOES Evapotranspiration and Drought Product System (GET-D) into Operations at NOAA/NESDIS

    NASA Astrophysics Data System (ADS)

    Hain, C.; Anderson, M. C.; Fang, L.; Zhan, X.; Otkin, J.

    2016-12-01

    Abnormally dry conditions can adversely affect the health of agricultural crops if the dryness persists for an extended period of time or if it occurs at a sensitive stage of crop development. Depending on its severity and timing, drought can result in significant yield loss, with impacts on both local and global markets as signified by reduced economic output and higher grain and food prices. Due to changing climate conditions, we are moving into a regime where processes controlling drought evolution are becoming more variable and are shifting in intensity, frequency and duration. The unusually rapid increase in water stress during some of these drought events are not well predicted by standard drought indicators. Different remote sensing indicators sample moisture and vegetation conditions occurring on different time scales during the typical evolution of agricultural drought. It has been shown that the thermal-based Evaporative Stress Index (ESI), based on land surface temperature, has an early warning component where vegetation stress manifested through decreased root-zone soil moisture leads to detectable vegetation stress in the LST signal before degradation in vegetation health is observed in VIS/NIR drought indices (e.g., NDVI). To provide this data to a larger user community and address the needs of our project stakeholders, the GOES Evapotranspiration and Drought Product System (GET-D) has been developed to operationally generate daily ET and ESI maps over the North America. The core model in GET-D is the Atmosphere-Land Exchange Inverse model (ALEXI), which is built on the two-source energy (TSEB) approach and partitions the GOES land surface temperature into characteristic soil and canopy temperatures, based on the fraction of vegetation cover. The primary operational data products of the GET-D system include the daily clear-sky ET and daily 2, 4, 8 and 12 week composites of the Evaporative Stress Index (ESI) computed from the ET daily estimates over North America at a spatial resolution of 8 km. This talk will focus on the evaluation of the operational data products, lessons learned from the transition into operations and the planned global expansion of the GET-D system at NOAA.

  10. An Analysis of the Extratropical Transition of Hurricane Arthur (2014) from a JPSS Proving Ground Perspective

    NASA Astrophysics Data System (ADS)

    Folmer, M. J.; Berndt, E.; Halverson, J. B.; Dunion, J. P.; Goldberg, M.

    2015-12-01

    As part of the GOES-R and JPSS Satellite Proving Grounds, multiple proxy and operational products were available to analyze and forecast the complex evolution of Hurricane Arthur (2014). The National Hurricane Center, Ocean Prediction Center, Weather Prediction Center, and NESDIS Satellite Analysis Branch were able to monitor the tropical and extratropical transition of Arthur using various convective and red, green, blue (RGB) products that have been introduced in recent years. During the extratropical transition, the Air Mass RGB (AM RGB) product and AIRS/CrIS ozone products were available as a compliment to water vapor imagery to identify the upper-level low with associated stratospheric drying that absorbed much of Arthur's energy. The AM RGB product provides forecasters with an enhanced view of various air masses that are combined into a single image and can help differentiate between possible stratospheric/tropospheric interactions, moist tropical air masses, and cool, continental/maritime air masses. Even though this product provides a wealth of qualitative information about the horizontal distribution of synoptic features, forecasters are also interested in more quantitative information such as the vertical distribution of temperature, moisture, and ozone which impact the coloring of the resulting AM RGB. Currently, NOAA Unique CrIS/ATMS Processing System (NUCAPS) temperature and moisture soundings are available in AWIPS-II as a point-based display. Traditionally, soundings are used to anticipate and forecast severe convection, however unique and valuable information can be gained from soundings for other forecasting applications, such as extratropical transition, especially in data sparse regions. Additional research has been conducted to look at how NUCAPS soundings might help forecasters identify the pre-extratropical transition environment, leading to earlier diagnosis and better public advisories. NUCAPS soundings, AIRS soundings, NOAA G-IV GPS dropwindsondes, and the AM RGB were analyzed leading up to and during Arthur's tropical to extratropical transition. The presentation will focus on the use of NUCAPS in concert with the AM RGB product to analyze Arthur's extratropical transition for use in NWS operations.

  11. NASA Science Data Processing for SNPP

    NASA Astrophysics Data System (ADS)

    Hall, A.; Behnke, J.; Lowe, D. R.; Ho, E. L.

    2014-12-01

    NASA's ESDIS Project has been operating the Suomi National Polar-Orbiting Partnership (SNPP) Science Data Segment (SDS) since the launch in October 2011. The science data processing system includes a Science Data Depository and Distribution Element (SD3E) and five Product Evaluation and Analysis Tool Elements (PEATEs): Land, Ocean, Atmosphere, Ozone, and Sounder. The SDS has been responsible for assessing Environmental Data Records (EDRs) for climate quality, providing and demonstrating algorithm improvements/enhancements and supporting the calibration/validation activities as well as instrument calibration and sensor table uploads for mission planning. The SNPP also flies two NASA instruments: OMPS Limb and CERES. The SNPP SDS has been responsible for producing, archiving and distributing the standard products for those instruments in close association with their NASA science teams. The PEATEs leveraged existing science data processing techniques developed under the EOSDIS Program. This enabled he PEATEs to do an excellent job in supporting Science Team analysis for SNPP. The SDS acquires data from three sources: NESDIS IDPS (Raw Data Records (RDRs)), GRAVITE (Retained Intermediate Products (RIPs)), and the NOAA/CLASS (higher level products). The SD3E component aggregates the RDRs, and distributes them to each of the PEATEs for further analysis and processing. It provides a ~32 day rolling storage of data, available for pickup by the PEATEs. The current system used by NASA will be presented along with plans for streamlining the system in support of continuing the NASA's EOS measurements.

  12. Automated Wildfire Detection Through Artificial Neural Networks

    NASA Technical Reports Server (NTRS)

    Miller, Jerry; Borne, Kirk; Thomas, Brian; Huang, Zhenping; Chi, Yuechen

    2005-01-01

    We have tested and deployed Artificial Neural Network (ANN) data mining techniques to analyze remotely sensed multi-channel imaging data from MODIS, GOES, and AVHRR. The goal is to train the ANN to learn the signatures of wildfires in remotely sensed data in order to automate the detection process. We train the ANN using the set of human-detected wildfires in the U.S., which are provided by the Hazard Mapping System (HMS) wildfire detection group at NOAA/NESDIS. The ANN is trained to mimic the behavior of fire detection algorithms and the subjective decision- making by N O M HMS Fire Analysts. We use a local extremum search in order to isolate fire pixels, and then we extract a 7x7 pixel array around that location in 3 spectral channels. The corresponding 147 pixel values are used to populate a 147-dimensional input vector that is fed into the ANN. The ANN accuracy is tested and overfitting is avoided by using a subset of the training data that is set aside as a test data set. We have achieved an automated fire detection accuracy of 80-92%, depending on a variety of ANN parameters and for different instrument channels among the 3 satellites. We believe that this system can be deployed worldwide or for any region to detect wildfires automatically in satellite imagery of those regions. These detections can ultimately be used to provide thermal inputs to climate models.

  13. The Redesigned Hazard Mapping System (HMS) for Fire and Smoke Analysis

    NASA Astrophysics Data System (ADS)

    Ruminski, M.; Cheng, Z.; Salemi, T.

    2017-12-01

    The HMS thru November 2016 incorporated a wide variety of satellite data for use in fire and smoke detection, including 30 minute interval GOES-East and GOES-West, five AVHRR satellites (NOAA and METOP) and MODIS Aqua/Terra. NESDIS' Satellite Analysis Branch (SAB) analysts utilize the HMS to analyze and quality control the automated fire detections from each of the sensors and create the fire/smoke products to enable the users to mitigate disasters and environmental hazards. The new HMS design eliminates the inefficiencies and increases the accuracy of the fire/smoke analysis. The new system has the capability to display higher resolution data available from VIIRS and other future sensors while maintaining individual pixel integrity which improves the representation of fire size. This benefits the input to smoke forecast models and may possibly be useful as input for fire spread models. The new system also provides greater analysis control of layers and display properties and allows for the display of all GOES images, even when in Rapid Scan Operations (RSO) mode. To enhance the efficiency and improve the accuracy of the fire and smoke product, the new HMS eliminates the sector boundaries that the old HMS used as part of the GUI and now displays the full analysis domain (North and Central America, Caribbean and Hawaii). There is also now the functionality to edit smoke plumes on a finer scale. In the presentation we will highlight the new features of the updated HMS.

  14. Snowfall Rate Retrieval using NPP ATMS Passive Microwave Measurements

    NASA Technical Reports Server (NTRS)

    Meng, Huan; Ferraro, Ralph; Kongoli, Cezar; Wang, Nai-Yu; Dong, Jun; Zavodsky, Bradley; Yan, Banghua; Zhao, Limin

    2014-01-01

    Passive microwave measurements at certain high frequencies are sensitive to the scattering effect of snow particles and can be utilized to retrieve snowfall properties. Some of the microwave sensors with snowfall sensitive channels are Advanced Microwave Sounding Unit (AMSU), Microwave Humidity Sounder (MHS) and Advance Technology Microwave Sounder (ATMS). ATMS is the follow-on sensor to AMSU and MHS. Currently, an AMSU and MHS based land snowfall rate (SFR) product is running operationally at NOAA/NESDIS. Based on the AMSU/MHS SFR, an ATMS SFR algorithm has been developed recently. The algorithm performs retrieval in three steps: snowfall detection, retrieval of cloud properties, and estimation of snow particle terminal velocity and snowfall rate. The snowfall detection component utilizes principal component analysis and a logistic regression model. The model employs a combination of temperature and water vapor sounding channels to detect the scattering signal from falling snow and derive the probability of snowfall (Kongoli et al., 2014). In addition, a set of NWP model based filters is also employed to improve the accuracy of snowfall detection. Cloud properties are retrieved using an inversion method with an iteration algorithm and a two-stream radiative transfer model (Yan et al., 2008). A method developed by Heymsfield and Westbrook (2010) is adopted to calculate snow particle terminal velocity. Finally, snowfall rate is computed by numerically solving a complex integral. The ATMS SFR product is validated against radar and gauge snowfall data and shows that the ATMS algorithm outperforms the AMSU/MHS SFR.

  15. 77 FR 44313 - 2011 Career Reserved Senior Executive Positions

    Federal Register 2010, 2011, 2012, 2013, 2014

    2012-07-27

    ... High Performance Computing and Communications. Chief Financial Officer. Deputy Director, Acquisition... AGRICULTURE... Office of Deputy Director, Communications. Creative Development. Office of the Chief Associate... Officer. Chief Information Officer for NESDIS. Director, Space Environment Center. National Oceanic and...

  16. A Comparison of Several Techniques to Assign Heights to Cloud Tracers.

    NASA Astrophysics Data System (ADS)

    Nieman, Steven J.; Schmetz, Johannes; Menzel, W. Paul

    1993-09-01

    Satellite-derived cloud-motion vector (CMV) production has been troubled by inaccurate height assignment of cloud tracers, especially in thin semitransparent clouds. This paper presents the results of an intercomparison of current operational height assignment techniques. Currently, heights are assigned by one of three techniques when the appropriate spectral radiance measurements are available. The infrared window (IRW) technique compares measured brightness temperatures to forecast temperature profiles and thus infers opaque cloud levels. In semitransparent or small subpixel clouds, the carbon dioxide (CO2) technique uses the ratio of radiances from different layers of the atmosphere to infer the correct cloud height. In the water vapor (H2O) technique, radiances influenced by upper-tropospheric moisture and IRW radiances are measured for several pixels viewing different cloud amounts, and their linear relationship is used to extrapolate the correct cloud height. The results presented in this paper suggest that the H2O technique is a viable alternative to the CO2 technique for inferring the heights of semitransparent cloud elements. This is important since future National Environmental Satellite, Data, and Information Service (NESDIS) operations will have to rely on H20-derived cloud-height assignments in the wind field determinations with the next operational geostationary satellite. On a given day, the heights from the two approaches compare to within 60 110 hPa rms; drier atmospheric conditions tend to reduce the effectiveness of the H2O technique. By inference one can conclude that the present height algorithms used operationally at NESDIS (with the C02 technique) and at the European Satellite Operations Center (ESOC) (with their version of the H20 technique) are providing similar results. Sample wind fields produced with the ESOC and NESDIS algorithms using Meteosat-4 data show good agreement.

  17. Journal Holdings - Betty Petersen Memorial Library

    Science.gov Websites

    Resources NCEP Office Notes IT Resources Request an item* University of Maryland Research Affiliate Contact for Environmental Prediction (NCEP) NESDIS Center for Satellite Applications & Research (STAR (1949 - 1985) Series B (1948 - 1986) Arctic and Alpine Research Electronic version available through

  18. Betty Petersen Memorial Library - NCWCP Publications - NWS

    Science.gov Websites

    Resources NCEP Office Notes IT Resources Request an item* University of Maryland Research Affiliate Contact for Environmental Prediction (NCEP) NESDIS Center for Satellite Applications & Research (STAR . Evaluating Numerical Model Quantitative Precipitation Forecasts (.PDF file) 368 1990 Gerald V. OPC Unified

  19. 76 FR 54217 - Membership of the National Oceanic and Atmospheric Administration Performance Review Board

    Federal Register 2010, 2011, 2012, 2013, 2014

    2011-08-31

    ... Koch Director, Office of Education. Maureen E. Wylie Chief Financial Officer, Office of the Chief Financial Officer. Charles S. Baker Deputy Assistant Administrator, NESDIS National Environmental Satellite... Financial Officer National Ocean Service. David Robinson Associate Director for Management Resources...

  20. Betty Petersen Memorial Library - NCWCP Publications - NWS

    Science.gov Websites

    Resources NCEP Office Notes IT Resources Request an item* University of Maryland Research Affiliate Contact for Environmental Prediction (NCEP) NESDIS Center for Satellite Applications & Research (STAR : Justifying new Arctic Observation Capabilities (.PDF file) 474 2013 Purser, R. James Comparative

  1. Projected SST trends across the Caribbean Sea based on PRECIS downscaling of ECHAM4, under the SRES A2 and B2 scenarios

    NASA Astrophysics Data System (ADS)

    Nurse, Leonard A.; Charlery, John L.

    2016-01-01

    The Caribbean Sea and adjacent land areas are highly sensitive to the projected impacts of global climate change. The countries bordering the Caribbean Sea depend heavily on coastal and marine assets as a major source of livelihood support. Rising sea surface temperatures (SSTs) are known to be associated with coral bleaching, ocean acidification, and other phenomena that threaten livelihoods in the region. The paucity of SST systematic observations in both the Caribbean Sea and adjoining Western Atlantic waters is a limiting factor in the projection of future climate change impacts on the region's marine resources. Remote sensing of SST by satellites began only within the last three decades and although the data collected so far might be insufficient to provide conclusive definitions of long-term SST variations in the Caribbean waters, these data along with the output from climate model simulations provide a useful basis for gaining further insights into plausible SST futures under IPCC SRES scenarios. In this paper, we examine the recent SST records from the NESDIS AVHRR satellite data and NOAA Optimum Interpolation (OI) sea surface temperature V2 and provide a comparative analysis of projected SST changes for the Caribbean Sea up to the end of the twenty-first century, under the SRES A2 and B2 scenarios' simulations of the sea surface skin temperatures (SSsT) using the Hadley Centre's regional model, PRECIS. The implications of these projected SST changes for bleaching of coral reefs, one of the region's most valuable marine resource, and for rainfall are also discussed.

  2. Snowfall Rate Retrieval Using Passive Microwave Measurements and Its Applications in Weather Forecast and Hydrology

    NASA Technical Reports Server (NTRS)

    Meng, Huan; Ferraro, Ralph; Kongoli, Cezar; Yan, Banghua; Zavodsky, Bradley; Zhao, Limin; Dong, Jun; Wang, Nai-Yu

    2015-01-01

    (AMSU), Microwave Humidity Sounder (MHS) and Advance Technology Microwave Sounder (ATMS). ATMS is the follow-on sensor to AMSU and MHS. Currently, an AMSU and MHS based land snowfall rate (SFR) product is running operationally at NOAA/NESDIS. Based on the AMSU/MHS SFR, an ATMS SFR algorithm has also been developed. The algorithm performs retrieval in three steps: snowfall detection, retrieval of cloud properties, and estimation of snow particle terminal velocity and snowfall rate. The snowfall detection component utilizes principal component analysis and a logistic regression model. It employs a combination of temperature and water vapor sounding channels to detect the scattering signal from falling snow and derives the probability of snowfall. Cloud properties are retrieved using an inversion method with an iteration algorithm and a two-stream radiative transfer model. A method adopted to calculate snow particle terminal velocity. Finally, snowfall rate is computed by numerically solving a complex integral. The SFR products are being used mainly in two communities: hydrology and weather forecast. Global blended precipitation products traditionally do not include snowfall derived from satellites because such products were not available operationally in the past. The ATMS and AMSU/MHS SFR now provide the winter precipitation information for these blended precipitation products. Weather forecasters mainly rely on radar and station observations for snowfall forecast. The SFR products can fill in gaps where no conventional snowfall data are available to forecasters. The products can also be used to confirm radar and gauge snowfall data and increase forecasters' confidence in their prediction.

  3. Cloud Computing-based Platform for Drought Decision-Making using Remote Sensing and Modeling Products: Preliminary Results for Brazil

    NASA Astrophysics Data System (ADS)

    Vivoni, E.; Mascaro, G.; Shupe, J. W.; Hiatt, C.; Potter, C. S.; Miller, R. L.; Stanley, J.; Abraham, T.; Castilla-Rubio, J.

    2012-12-01

    Droughts and their hydrological consequences are a major threat to food security throughout the world. In arid and semiarid regions dependent on irrigated agriculture, prolonged droughts lead to significant and recurring economic and social losses. In this contribution, we present preliminary results on integrating a set of multi-resolution drought indices into a cloud computing-based visualization platform. We focused our initial efforts on Brazil due to a severe, on-going drought in a large agricultural area in the northeastern part of the country. The online platform includes drought products developed from: (1) a MODIS-based water stress index (WSI) based on inferences from normalized difference vegetation index and land surface temperature fields, (2) a volumetric water content (VWC) index obtained from application of the NASA CASA model, and (3) a set of AVHRR-based vegetation health indices obtained from NOAA/NESDIS. The drought indices are also presented in terms of anomalies with respect to a baseline period. Since our main objective is to engage stakeholders and decision-makers in Brazil, we incorporated other relevant geospatial data into the platform, including irrigation areas, dams and reservoirs, administrative units and annual climate information. We will also present a set of use cases developed to help stakeholders explore, query and provide feedback that allowed fine-tuning of the drought product delivery, presentation and analysis tools. Finally, we discuss potential next steps in development of the online platform, including applications at finer resolutions in specific basins and at a coarser global scale.

  4. Analysis of the global ISCCP TOVS water vapor climatology

    NASA Technical Reports Server (NTRS)

    Wittmeyer, Ian L.; Vonder Haar, Thomas H.

    1994-01-01

    A climatological examination of the global water vapor field based on a multiyear period of successfull satellite-based observations is presented. Results from the multiyear global ISCCP TIROS Operational Vertical Sounder (TOVS) water vapor dataset as operationally produced by NESDIS and ISCCP are shown. The methods employed for the retrieval of precipitable water content (PWC) utilize infrared measurements collected by the TOVS instrument package flown aboard the NOAA series of operational polar-orbiting satellites. Strengths of this dataset include the nearly global daily coverage, availability for a multiyear period, operational internal quality checks, and its description of important features in the mean state of the atmosphere. Weaknesses of this PWC dataset include that the infrared sensors are unable to collect data in cloudy regions, the retrievals are strongly biased toward a land-based radiosonde first-guess dataset, and the description of high spatial and temporal variability is inadequate. Primary consequences of these factors are seen in the underestimation of ITCZ water vapor maxima, and underestimation of midlatitude water vapor mean and standard deviation values where transient atmospheric phenomena contribute significantly toward time means. A comparison of TOVS analyses to SSM/I data over ocean for the month of July 1988 shows fair agreement in the magnitude and distribution of the monthly mean values, but the TOVS fields exhibit much less temporal and spatial variability on a daily basis in comparison to the SSM/I analyses. The emphasis of this paper is on the presentation and documentation of an early satellite-based water vapor climatology, and description of factors that prevent a more accurate representation of the global water vapor field.

  5. NPP ATMS Snowfall Rate Product

    NASA Technical Reports Server (NTRS)

    Meng, Huan; Ferraro, Ralph; Kongoli, Cezar; Wang, Nai-Yu; Dong, Jun; Zavodsky, Bradley; Yan, Banghua

    2015-01-01

    Passive microwave measurements at certain high frequencies are sensitive to the scattering effect of snow particles and can be utilized to retrieve snowfall properties. Some of the microwave sensors with snowfall sensitive channels are Advanced Microwave Sounding Unit (AMSU), Microwave Humidity Sounder (MHS) and Advance Technology Microwave Sounder (ATMS). ATMS is the follow-on sensor to AMSU and MHS. Currently, an AMSU and MHS based land snowfall rate (SFR) product is running operationally at NOAA/NESDIS. Based on the AMSU/MHS SFR, an ATMS SFR algorithm has been developed recently. The algorithm performs retrieval in three steps: snowfall detection, retrieval of cloud properties, and estimation of snow particle terminal velocity and snowfall rate. The snowfall detection component utilizes principal component analysis and a logistic regression model. The model employs a combination of temperature and water vapor sounding channels to detect the scattering signal from falling snow and derive the probability of snowfall (Kongoli et al., 2015). In addition, a set of NWP model based filters is also employed to improve the accuracy of snowfall detection. Cloud properties are retrieved using an inversion method with an iteration algorithm and a two-stream radiative transfer model (Yan et al., 2008). A method developed by Heymsfield and Westbrook (2010) is adopted to calculate snow particle terminal velocity. Finally, snowfall rate is computed by numerically solving a complex integral. NCEP CMORPH analysis has shown that integration of ATMS SFR has improved the performance of CMORPH-Snow. The ATMS SFR product is also being assessed at several NWS Weather Forecast Offices for its usefulness in weather forecast.

  6. A Time Series Analysis of Global Soil Moisture Data Products for Water Cycle Studies

    NASA Astrophysics Data System (ADS)

    Zhan, X.; Yin, J.; Liu, J.; Fang, L.; Hain, C.; Ferraro, R. R.; Weng, F.

    2017-12-01

    Water is essential for sustaining life on our planet Earth and water cycle is one of the most important processes of out weather and climate system. As one of the major components of the water cycle, soil moisture impacts significantly the other water cycle components (e.g. evapotranspiration, runoff, etc) and the carbon cycle (e.g. plant/crop photosynthesis and respiration). Understanding of soil moisture status and dynamics is crucial for monitoring and predicting the weather, climate, hydrology and ecological processes. Satellite remote sensing has been used for soil moisture observation since the launch of the Scanning Multi-channel Microwave Radiometer (SMMR) on NASA's Nimbus-7 satellite in 1978. Many satellite soil moisture data products have been made available to the science communities and general public. The soil moisture operational product system (SMOPS) of NOAA NESDIS has been operationally providing global soil moisture data products from each of the currently available microwave satellite sensors and their blends. This presentation will provide an update of SMOPS products. The time series of each of these soil moisture data products are analyzed against other data products, such as precipitation and evapotranspiration from other independent data sources such as the North America Land Data Assimilation System (NLDAS). Temporal characteristics of these water cycle components are explored against some historical events, such as the 2010 Russian, 2010 China and 2012 United States droughts, 2015 South Carolina floods, etc. Finally whether a merged global soil moisture data product can be used as a climate data record is evaluated based on the above analyses.

  7. 76 FR 59662 - Membership of the National Oceanic and Atmospheric Administration Performance Review Board

    Federal Register 2010, 2011, 2012, 2013, 2014

    2011-09-27

    ... Koch Director, Office of Education, Office of Education. Maureen E. Wylie Chief Financial Officer, Office of the Chief Financial Officer. Charles S. Baker Deputy Assistant Administrator, NESDIS, National.... Cartwright.... Chief Financial Officer, National Ocean Service. David Robinson Associate Director for...

  8. Betty Petersen Memorial Library - NCWCP Publications - NWS

    Science.gov Websites

    Resources NCEP Office Notes IT Resources Request an item* University of Maryland Research Affiliate Contact for Environmental Prediction (NCEP) NESDIS Center for Satellite Applications & Research (STAR (*revised) (.PDF file) 29 1969 1990* Automation Division Staff NMC Format For Observational Data (ADP

  9. On The Usage Of Fire Smoke Emissions In An Air Quality Forecasting System To Reduce Particular Matter Forecasting Error

    NASA Astrophysics Data System (ADS)

    Huang, H. C.; Pan, L.; McQueen, J.; Lee, P.; ONeill, S. M.; Ruminski, M.; Shafran, P.; DiMego, G.; Huang, J.; Stajner, I.; Upadhayay, S.; Larkin, N. K.

    2016-12-01

    Wildfires contribute to air quality problems not only towards primary emissions of particular matters (PM) but also emitted ozone precursor gases that can lead to elevated ozone concentration. Wildfires are unpredictable and can be ignited by natural causes such as lightning or accidently by human negligent behavior such as live cigarette. Although wildfire impacts on the air quality can be studied by collecting fire information after events, it is extremely difficult to predict future occurrence and behavior of wildfires for real-time air quality forecasts. Because of the time constraints of operational air quality forecasting, assumption of future day's fire behavior often have to be made based on observed fire information in the past. The United States (U.S.) NOAA/NWS built the National Air Quality Forecast Capability (NAQFC) based on the U.S. EPA CMAQ to provide air quality forecast guidance (prediction) publicly. State and local forecasters use the forecast guidance to issue air quality alerts in their area. The NAQFC fine particulates (PM2.5) prediction includes emissions from anthropogenic and biogenic sources, as well as natural sources such as dust storms and fires. The fire emission input to the NAQFC is derived from the NOAA NESDIS HMS fire and smoke detection product and the emission module of the US Forest Service BlueSky Smoke Modeling Framework. This study focuses on the error estimation of NAQFC PM2.5 predictions resulting from fire emissions. The comparisons between the NAQFC modeled PM2.5 and the EPA AirNow surface observation show that present operational NAQFC fire emissions assumption can lead to a huge error in PM2.5 prediction as fire emissions are sometimes placed at wrong location and time. This PM2.5 prediction error can be propagated from the fire source in the Northwest U.S. to downstream areas as far as the Southeast U.S. From this study, a new procedure has been identified to minimize the aforementioned error. An additional 24 hours reanalysis-run of NAQFC using same-day observed fire emission are being tested. Preliminary results have shown that this procedure greatly improves the PM2.5 predictions at both nearby and downstream areas from fire sources. The 24 hours reanalysis-run is critical and necessary especially during extreme fire events to provide better PM2.5 predictions.

  10. Exploring links between biomass burning smoke and tornado likelihood: From regional to large-eddy scale simulations

    NASA Astrophysics Data System (ADS)

    Saide, P. E.; Thompson, G.; Eidhammer, T.; da Silva, A. M., Jr.; Pierce, R. B.; Carmichael, G. R.

    2015-12-01

    Biomass burning smoke from Central America can have the potential to enhance the likelihood of tornado occurrence and intensity in the SE US by changing the environment where tornadic storms form (Saide et al., GRL 2015). In this presentation we build over this study to further our understanding of these interactions on multiple dimensions: 1) Biomass burning smoke emissions are constrained using an inverse modeling technique to improve the representation of smoke loads and its impacts, 2) The representation of these smoke-tornado interactions are assessed when using a simplified aerosol scheme with the intent of introducing these feedbacks into numerical weather prediction in the future, 3) The occurrence of these interactions is investigated for other tornado outbreaks on the record to learn about their frequency and under what conditions they occur, and 4) Multi-scale simulations are performed from regional to tornado-resolving scales to assess the impact of smoke on the number of tornadoes formed and their EF intensity. Future steps will also be discussed. The image below shows MODIS-Aqua satellite products for 27 April 2011 over the southeast US, Central America and the Gulf of Mexico (GoM), along with tornado tracks (red solid lines, thickness indicates the magnitude of the tornado reports , thickest=5, thinnest=1) for the period from April 26-28. The background is a true color image of the surface, clouds, and smoke, with yellow markers indicating fire detections and an iridescent overlay showing aerosol optical depth (AOD). Red, green and purple colors show high (1.0), medium (0.6) and low (0.1) AOD values. The article by Saide et al. (2015) shows that the increase in aerosol loads in the GoM is produced by fires in Central America, and this smoke is further transported to the southeast US where it can interact with clouds and radiation producing environmental conditions more favorable to significant tornado occurrence for the historical outbreak on 27 April 2011. Satellite true color image, AOD, and fire detection retrievals obtained from the NASA Level 1 and Atmosphere Archive and Distribution System (LAADS); Tornado reports obtained from the NOAA Storm Prediction Center; imagery courtesy of Brad Pierce NOAA Satellite and Information Service (NESDIS) Center for Satellite Applications and Research (STAR).

  11. Global Paleobathymetry for the Cenomanian-Turonian (90 Ma)

    NASA Astrophysics Data System (ADS)

    Goswami, A.; Olson, P.; Hinnov, L. A.; Gnanadesikan, A.

    2014-12-01

    We present a paleo-ocean bathymetry reconstruction for Cenomanian-Turonian (90 Ma) time in a 0.1°x0.1° resolution for use in paleo-climate studies. Age of the ocean floor for the Cenomanian-Turonian (90 Ma) is from Müller et al. (2008 a,b); coastlines are from the PALEOMAP Project (Scotese, 2011). To reconstruct paleo-ocean bathymetry, we use a plate model equation to model depth to basement (Turcotte and Schubert, 2002). We estimate plate model equation parameter values from measurements of modern oceans (Crosby et al., 2006). On top of the depth to basement, we isostatically add a multilayer sediment model derived from area-corrected sediment thickness data (Divins, 2003; Whittaker et al., 2013). Lastly, we parameterize the modern continental shelf, slope, and rise in a "sediment wedge model" to connect the coastline with the closest ocean crust as defined by Müller et al. (2008 a, b). These parameters are defined using empirical relationships obtained from study of modern ocean transects where a complete rifting history is preserved (Atlantic and Southern oceans), and the closest approach of the respective oceanic crust (Müller et al., 2008a,b) to the coastline. We use the modern ocean as a test, comparing maps and cross sections of modern ocean bathymetry modeled using our reconstruction method with that of ETOPO1 (Amante and Eakins, 2009). Adding sea plateaus and seamounts minimize the difference between our modeled bathymetry and ETOPO1. Finally, we also present a comparison of our reconstructed paleo-bathymetry to that of Müller et al. (2008 a,b) for the Cenomanian-Turonian (90 Ma). References: Amante, C., Eakins, B.W., 2009, NOAA Tech. Memo. NESDIS NGDC-24, 19 p. Crosby, A., McKenzie, D., Sclater, J.G., 2006, Geophysical Journal Int. 166.2, 553-573. Divins, D., 2003, NOAA NGDC, Boulder, CO. Müller, R., Sdrolias, M., Gaina, C., Roest, W., 2008b, Geochemistry, Geophysics, Geosystems, 9, Q04006, doi:10.1029/2007GC001743 Müller, R., Sdrolias, M., Gaina, C., Steinberger, B., Heine, C., 2008a, Science, 319, 1357-1362. Scotese, C., 2011, PALEOMAP Project, Arlington, Texas. Turcotte, D., Schubert, G., 2002, Cambridge University Press, Cambridge, 456 p. Whittaker, J., Goncharov, A., Williams, S., Müller, R., Leitchenkov, G., 2013, Geochemistry, Geophysics, Geosystems. DOI:10.1002/ggge.20181

  12. Chemical fields during Southeast Nexus (SENEX) field experiment and design of verification metrics for efficacy of capturing wild fire emissions

    NASA Astrophysics Data System (ADS)

    Lee, P.

    2016-12-01

    Wildfires are commonplace in North America. Air pollution resulted from wildfires pose a significant risk for human health and crop damage. The pollutants alter the vertical distribution of many atmospheric constituents including O3 and many fine particulate (PM) species. Compared to anthropogenic emissions of air pollutants, emissions from wildfires are largely uncontrolled and unpredictable. Therefore, quantitatively describing wildfire emissions and their contributions to air pollution remains a substantial challenge for atmospheric modeler and air quality forecasters. In this study, we investigated the modification and redistribution of atmospheric composition within the Conterminous U.S (CONUS) by wild fire plumes originated within and outside of the CONUS. We used the National Air Quality Forecasting Capability (NAQFC) to conduct the investigation. NAQFC uses dynamic lateral chemical boundary conditions derived from the National Weather Service experimental global aerosol tracer model accounting for intrusion of fire-associated aerosol species. Within CONUS, the NAQFC derives both gaseous and aerosol wildfire associated species from the National Environmental Satellite, Data, and Information Service (NESDIS) hazard mapping system (HMS) hot-spot detection, and US Forestry Service Blue-sky protocol for quantifying fire characteristics, and the US EPA Sparse Matrix Object Kernel Emission (SMOKE) calculation for plume rise. Attributions of both of these wildfire influences inherently reflect the aged plumes intruded into the CONUS through the model boundaries as well as the fresher emissions from sources within the CONUS. Both emission sources contribute significantly to the vertical structure modification of the atmosphere. We conducted case studies within the fire active seasons to demonstrate some possible impacts on the vertical structures of O3 and PM species by the wildfire activities.

  13. Southwest U.S. Imagery (GOES-WEST) - Satellite Services Division / Office

    Science.gov Websites

    of Satellite Data Processing and Distribution Skip Navigation Link NESDIS banner image and link Information Service Home Page Default Office of Satellite and Product Operations banner image and link to OSPO Color -- Sea/Lake Ice -- Sea Surface Height -- Sea Surface Temperatures -- Tropical Systems Product List

  14. Tropical West Pacific Imagery - Satellite Products and Services

    Science.gov Websites

    Division/Office of Satellite and Product Operations Skip Navigation Link NESDIS banner image Information Service Home Page Default Office of Satellite and Product Operations banner image and link to OSPO MIRS MSPPS Ocean -- Coral Bleaching -- Ocean Color -- Sea/Lake Ice -- Sea Surface Height -- Sea Surface

  15. Multi-Decadal Oscillations of the Ocean Active Upper-Layer Heat Content

    NASA Astrophysics Data System (ADS)

    Byshev, Vladimir I.; Neiman, Victor G.; Anisimov, Mikhail V.; Gusev, Anatoly V.; Serykh, Ilya V.; Sidorova, Alexandra N.; Figurkin, Alexander L.; Anisimov, Ivan M.

    2017-07-01

    Spatial patterns in multi-decadal variability in upper ocean heat content for the last 60 years are examined using a numerical model developed at the Institute of Numerical Mathematics of Russia (INM Model) and sea water temperature-salinity data from the World Ocean Database (in: Levitus, NOAA Atlas NESDIS 66, U.S. Wash.: Gov. Printing Office, 2009). Both the model and the observational data show that the heat content of the Active Upper Layer (AUL) in particular regions of the Atlantic, Pacific and Southern oceans have experienced prominent simultaneous variations on multi-decadal (25-35 years) time scales. These variations are compared earlier revealed climatic alternations in the Northern Atlantic region during the last century (Byshev et al. in Doklady Earth Sci 438(2):887-892, 2011). We found that from the middle of 1970s to the end of 1990s the AUL heat content decreased in several oceanic regions, while the mean surface temperature increased on Northern Hemisphere continents according to IPCC (in: Stocker et al. Contribution of working group I to the fifth assessment report of the intergovernmental panel on climate change, Cambridge University Press, Cambridge, 2013). This means that the climate-forcing effect of the ocean-atmosphere interaction in certain energy-active areas determines not only local climatic processes, but also have an influence on global-scale climate phenomena. Here we show that specific regional features of the AUL thermal structure are in a good agreement with climatic conditions on the adjacent continents. Further, the ocean AUL in the five distinctive regions identified in our study have resumed warming in the first decade of this century. By analogy inference from previous climate scenarios, this may signal the onset of more continental climate over mainlands.

  16. SPoRT - An End-to-End R2O Activity

    NASA Technical Reports Server (NTRS)

    Jedlovec, Gary J.

    2009-01-01

    Established in 2002 to demonstrate the weather and forecasting application of real-time EOS measurements, the Short-term Prediction Research and Transition (SPoRT) program has grown to be an end-to-end research to operations activity focused on the use of advanced NASA modeling and data assimilation approaches, nowcasting techniques, and unique high-resolution multispectral observational data applications from EOS satellites to improve short-term weather forecasts on a regional and local scale. SPoRT currently partners with several universities and other government agencies for access to real-time data and products, and works collaboratively with them and operational end users at 13 WFOs to develop and test the new products and capabilities in a "test-bed" mode. The test-bed simulates key aspects of the operational environment without putting constraints on the forecaster workload. Products and capabilities which show utility in the test-bed environment are then transitioned experimentally into the operational environment for further evaluation and assessment. SPoRT focuses on a suite of data and products from MODIS, AMSR-E, and AIRS on the NASA Terra and Aqua satellites, and total lightning measurements from ground-based networks. Some of the observations are assimilated into or used with various versions of the WRF model to provide supplemental forecast guidance to operational end users. SPoRT is enhancing partnerships with NOAA / NESDIS for new product development and data access to exploit the remote sensing capabilities of instruments on the NPOESS satellites to address short term weather forecasting problems. The VIIRS and CrIS instruments on the NPP and follow-on NPOESS satellites provide similar observing capabilities to the MODIS and AIRS instruments on Terra and Aqua. SPoRT will be transitioning existing and new capabilities into the AWIIPS II environment to continue the continuity of its activities.

  17. The Redesigned Hazard Mapping System (HMS) for Fire and Smoke Analysis and the Impact of Including Visible Infrared Imaging Radiometer Suite (VIIRS) Data

    NASA Astrophysics Data System (ADS)

    Ruminski, M.; Cheng, Z.; Salemi, T.

    2016-12-01

    The HMS incorporates a wide variety of satellite data for use in fire and smoke detection, including 30 minute interval GOES-East and GOES-West, five AVHRR satellites (NOAA and METOP) and MODIS Aqua/Terra. NESDIS' Satellite Analysis Branch (SAB) analysts utilize the HMS to analyze and quality control the automated fire detections from each of the sensors and create the fire/smoke products to enable the users to mitigate disasters and environmental hazards. The new HMS design eliminates the inefficiencies and increases the accuracy of the fire/smoke analysis. The new system has the capability to display higher resolution data available from VIIRS while maintaining individual pixel integrity which improves the representation of fire size. This will benefit the input to smoke forecast models and may possibly be useful as input for fire spread models. An analysis of all VIIRS Active Fire (AF) locations compared to the operational HMS fire analysis for all of 2015 over North America will be presented that will provide an estimate of the impact of this new data set. Results will be presented for regional and seasonal impact. The new system also provides greater analysis control of layers and display properties and will allow for the display of all GOES images, even when in Rapid Scan Operations (RSO) mode. To enhance the efficiency and improve the accuracy of the fire and smoke product, the display of the new HMS eliminates the sector boundaries to display full analysis domain (North and Central America, Caribbean and Hawaii) and has functionality to edit plumes on a finer scale. In the presentation we will highlight the new features of the updated HMS.

  18. Assimilation of Real-Time Satellite And Human Sensor Networks for Modeling Natural Disasters

    NASA Astrophysics Data System (ADS)

    Aulov, O.; Halem, M.; Lary, D. J.

    2011-12-01

    We describe the development of underlying technologies needed to address the merging of a web of real time satellite sensor Web (SSW) and Human Sensor Web (HSW) needed to augment the US response to extreme events. As an initial prototyping step and use case scenario, we consider the development of two major system tools that can be transitioned from research to the responding operational agency for mitigating coastal oil spills. These tools consist of the capture of Situation Aware (SA) Social Media (SM) Data, and assimilation of the processed information into forecasting models to provide incident decision managers with interactive virtual spatial temporal animations superimposed with probabilistic data estimates. The system methodologies are equally applicable to the wider class of extreme events such as plume dispersions from volcanoes or massive fires, major floods, hurricane impacts, radioactive isotope dispersions from nuclear accidents, etc. A successful feasibility demonstration of this technology has been shown in the case of the Deepwater Horizon Oil Spill where Human Sensor Networks have been combined with a geophysical model to perform parameter assessments. Flickr images of beached oil were mined from the spill area, geolocated and timestamped and converted into geophysical data. This data was incorporated into General NOAA Operational Modeling Environment (GNOME), a Lagrangian forecast model that uses near real-time surface winds, ocean currents, and satellite shape profiles of oil to generate a forecast of plume movement. As a result, improved estimates of diffusive coefficients and rates of oil spill were determined. Current approaches for providing satellite derived oil distributions are collected from a satellite sensor web of operational and research sensors from many countries, and a manual analysis is performed by NESDIS. A real time SA HSW processing system based on geolocated SM data from sources such as Twitter, Flickr, YouTube etc., greatly supplements the current operational practice of sending out teams of humans to gather samples of tarballs reaching coastal locations. We show that ensemble Kalman filter assimilation of the combination of SM data with model forecast background data fields can minimize the false positive cases of satellite observations alone. Our future framework consists of two parts, a real time SA HSW processing system and an on-demand SSW processing system. HSW processing system uses a geolocated SM data to provide observations of coastal oil contact. SSW system is composed of selected instruments from NASA EOS, NPP and available Decadal Survey mission satellites along with other in situ data to form a real time regional oil spill observing system. We will automate the NESDIS manual process of providing oil spill maps by using Self Organizing Feature Map (SOFM) algorithm. We use the LETKF scheme for assimilating the satellite sensor web and HSW observations into the GNOME model to reduce the uncertainty of the observations. We intend to infuse these developments in an SOA implementation for execution of event driven model forecast assimilation cycles in a dedicated HPC cloud.

  19. GOES Composite - El Niño Support Imagery - Satellite Products and Services

    Science.gov Websites

    Division/Office of Satellite and Product Operations Skip Navigation Link NESDIS banner image Information Service Home Page Default Office of Satellite and Product Operations banner image and link to OSPO MIRS MSPPS Ocean -- Coral Bleaching -- Ocean Color -- Sea/Lake Ice -- Sea Surface Height -- Sea Surface

  20. A Validation of Remotely Sensed Fires Using Ground Reports

    NASA Astrophysics Data System (ADS)

    Ruminski, M. G.; Hanna, J.

    2007-12-01

    A satellite based analysis of fire detections and smoke emissions for North America is produced daily by NOAA/NESDIS. The analysis incorporates data from the MODIS (Terra and Aqua) and AVHRR (NOAA-15/16/17) polar orbiting instruments and GOES East and West geostationary spacecraft with nominal resolutions of 1km and 4 km for the polar and geostationary platforms respectively. Automated fire detection algorithms are utilized for each of the sensors. Analysts perform a quality control procedure on the automated detects by deleting points that are deemed to be false detects and adding points that the algorithms did not detect. A limited validation of the final quality controlled product was performed using high resolution (30 m) ASTER data in the summer of 2006. Some limitations in using ASTER data are that each scene is only approximately 3600 square km, the data acquisition time is relatively constant at around 1030 local solar time and ASTER is another remotely sensed data source. This study expands on the ASTER validation by using ground reports of prescribed burns in Montana and Idaho for 2003 and 2004. It provides a non-remote sensing data source for comparison. While the ground data do not have the limitations noted above for ASTER there are still limitations. For example, even though the data set covers a much larger area (nearly 600,000 square km) than even several ASTER scenes, it still represents a single region of North America. And while the ground data are not restricted to a narrow time window, only a date is provided with each report, limiting the ability to make detailed conclusions about the detection capabilities for specific instruments, especially for the less temporally frequent polar orbiting MODIS and AVHRR sensors. Comparison of the ground data reports to the quality controlled fire analysis revealed a low rate of overall detection of 23.00% over the entire study period. Examination of the daily detection rates revealed a wide variation, with some days resulting in as little as 5 detects out of 107 reported fires while other days had as many as 84 detections out of 160 reports. Inspection of the satellite imagery from the days with very low detection rates revealed that extensive cloud cover prohibited satellite fire detection. On days when cloud cover was at a minimum, detection rates were substantially higher. An estimate of the fire size was also provided with the ground data set. Statistics will be presented for days with minimal cloud cover which will indicate the probability of detection for fires of various sizes.

  1. Summertime Coincident Observations of Ice Water Path in the Visible/Near-IR, Radar, and Microwave Frequencies

    NASA Technical Reports Server (NTRS)

    Pittman, Jasna V.; Robertson, Franklin R.; Atkinson, Robert J.

    2008-01-01

    Accurate representation of the physical and radiative properties of clouds in climate models continues to be a challenge. At present, both remote sensing observations and modeling of microphysical properties of clouds rely heavily on parameterizations or assumptions on particle size distribution (PSD) and cloud phase. In this study, we compare Ice Water Path (IWP), an important physical and radiative property that provides the amount of ice present in a cloud column, using measurements obtained via three different retrieval strategies. The datasets we use in this study include Visible/Near-IR IWP from the Moderate Resolution Imaging Spectroradiometer (MODIS) instrument flying aboard the Aqua satellite, Radar-only IWP from the CloudSat instrument operating at 94 GHz, and NOAA/NESDIS operational IWP from the 89 and 157 GHz channels of the Microwave Humidity Sounder (MHS) instrument flying aboard the NOAA-18 satellite. In the Visible/Near-IR, IWP is derived from observations of optical thickness and effective radius. CloudSat IWP is determined from measurements of cloud backscatter and assumed PSD. MHS IWP retrievals depend on scattering measurements at two different, non-water absorbing channels, 89 and 157 GHz. In order to compare IWP obtained from these different techniques and collected at different vertical and horizontal resolutions, we examine summertime cases in the tropics (30S - 30N) when all 3 satellites are within 4 minutes of each other (approximately 1500 km). All measurements are then gridded to a common 15 km x 15 km box determined by MHS. In a grid box comparison, we find CloudSat to report the highest IWP followed by MODIS, followed by MHS. In a statistical comparison, probability density distributions show MHS with the highest frequencies at IWP of 100-1000 g/m(exp 2) and CloudSat with the longest tail reporting IWP of several thousands g/m(exp 2). For IWP greater than 30 g/m(exp 2), MODIS is consistently higher than CloudSat, and it is higher at the lower IWPs but lower at the higher IWPs that overlap with MHS. Some of these differences can be attributed to the limitations of the measuring techniques themselves, but some can result from the assumptions made in the algorithms that generate the IWP product. We investigate this issue by creating categories based on various conditions such as cloud type, precipitation presence, underlying liquid water content, and surface type (land vs. ocean) and by comparing the performance of the IWP products under each condition.

  2. AVHRR-based drought-observing system for monitoring the environment and socioeconomic activities

    NASA Astrophysics Data System (ADS)

    Kogan, F.

    From all natural disaster, drought is the least understandable and the most damaging environmental phenomenon. Although in pre-satellite era, climate data were used for drought monitoring, drought specifics created problems in early drought detection start/end, monitoring its expansion/contraction, intensity and area coverage and the most important, timely estimation of the impacts on the environment and socioeconomic activities. The latest prevented to take prompt measures in mitigating negative consequences of drought for the society. Advances in remote sensing of the past ten years, contributed to the development of comprehensive drought monitoring system and numerous applications, which helped to make decisions for monitoring the environment and predicting sustainable socioeconomic activities. This paper discusses satellite-based land-surface observing system, which provides wells of information used for monitoring such unusual natural disaster as drought. This system was developed from the observations of the Advanced Very High Resolution Radiometer (AVHRR) flown on NOAA operational polar-orbiting satellites. The AVHRR data were packed into the Global Vegetation Index (GVI) product, which have served the global community since 1981. The GVI provided reflectances and indices (4 km spacial resolution) every seven days for each 16 km map cell between 75EN and 55ES covering all land ecosystems. The data includes raw and calibrated radiances in the visible, near infrared and infrared spectral bands, processed (with eliminated high frequency noise) radiances, normalized difference vegetation index (NDVI), 20-year climatology, vegetation condition indices and also products, such as vegetation health, drought, vegetation fraction, fire risk etc. In the past ten years, users around the world used this information addressing different issues of drought impacts on socioeconomic activities and responded positively to real time drought information place regularly on the following web site http://orbit-net.nesdis.noaa.gov/crad/sat/surf/vci/. Drought assessments were compared with ground observations in twenty two countries around the world and showed good results in early drought detection and monitoring its development and impacts on the environment and socioeconomic activities, for assessment of biomass/crop production losses and fire risk. In addition, the AVHRR-based products showed potential in monitoring mosquito-born epidemics, amount of water required for irrigation, and predicting ENSO impacts on productivity of land ecosystems. These applications were used in agriculture, forestry, weather models, climatology. This presentation will be illustrated with many examples of data applications and also with explanations of data structure and use.

  3. Center for Geosciences/Atmospheric Research (CG/AR) Quarterly Report Number 21

    DTIC Science & Technology

    2011-06-30

    ended April 30. Research activity and/or results Dr. Yoo-Jeong Noh C3VP/CLEX-10 satellite and aircraft data analysis The manuscript that was...a contractor to the National Environmental Satellite , Data , & Information Service’s (NESDIS) Satellite Analysis Branch (SAB) at the World Weather...cira.colostate.edu Data Assimilation Methods Environmental Modeling and Assimilation Forsythe John CIRA forsythe@cira.colostate.edu Satellite

  4. Successful Municipal Separate Storm Sewer System Programs Implemented in the Navy - NESDI #494

    DTIC Science & Technology

    2014-06-01

    account. Lastly, upon speaking with numerous stormwater personnel who use a spreadsheet software for data tracking, they recommended that staying well...existing data sources, gathering and maintaining the data needed, and completing and reviewing this collection of information. Send comments regarding...an organized manner. In the long-term, a comprehensive electronic methodology is recommended to keep data organized, be more efficient and to keep

  5. Predicting the Mobility and Burial of Underwater Unexploded Ordnance (UXO) Using the UXO Mobility Model (ESTCP) 200417

    DTIC Science & Technology

    2009-11-01

    Abbreviations and Acronyms Acronym Definition ADCP Acoustic Doppler Current Profiler AGD Applications Guidance Document ARAMS Army Risk Assessment Modeling...Center iv NESDI Navy Environmental Sustainability Development to Integration NOS National Ocean Service NS Naval Station NWS Naval Weapons...Plan QAS Quality Assurance Specialist RAC Risk Assessment Code REF/DIF Refraction/Diffraction ROI Return on Investment SAJ Dr. Scott A. Jenkins

  6. NESDI FY10 Year in Review Report: The Case For Success 2010

    DTIC Science & Technology

    2010-01-01

    36 CASE STUDY: Motion Assisted Environmental Enclosure for Capturing Paint Overspray in Dry Docks...and to outline a means to assess its environmental impact. 8. Motion Assisted Environmental Enclosure for Capturing Paint Overspray in Dry Docks...in dry docks. 9. Cleaning Solvents for the 21st Century. As part of the Department of Defense’s (DoD) response to eliminating the use of volatile

  7. The Hazard Mapping System (HMS)-a Multiplatform Remote Sensing Approach to Fire and Smoke Detection

    NASA Astrophysics Data System (ADS)

    Kibler, J.; Ruminski, M. G.

    2003-12-01

    The HMS is a multiplatform remote sensing approach to detecting fires and smoke over the US and adjacent areas of Canada and Mexico that has been in place since June 2002. This system is an integral part of the National Environmental Satellite and Data Information Service (NESDIS) near realtime hazard detection and mitigation efforts. The system utilizes NOAA's Geostationary Operational Environmental Satellites (GOES), Polar Operational Environmental Satellites (POES) and the Moderate Resolution Imaging Spectroradiometer (MODIS) instrument on NASA's Terra and Aqua spacecraft. Automated detection algorithms are employed for each of the satellites for the fire detects while smoke is added by a satellite image analyst. In June 2003 the HMS underwent an upgrade. A number of features were added for users of the products generated on the HMS. Sectors covering Alaska and Hawaii were added. The use of Geographic Information System (GIS) shape files for smoke analysis is a new feature. Shape files show the progression and time of a single smoke plume as each analysis is drawn and then updated. The analyst now has the ability to view GOES, POES, and MODIS data in a single loop. This allows the fire analyst the ability to easily confirm a fire in three different data sets. The upgraded HMS has faster satellite looping and gives the analyst the ability to design a false color image for a particular region. The GOES satellites provide a relatively coarse 4 km infrared resolution at satellite subpoint for thermal fire detection but provide the advantage of a rapid update cycle. GOES imagery is updated every 15 minutes utilizing both GOES-10 and GOES-12. POES imagery from NOAA-15, NOAA-16 and NOAA-17 and MODIS from Terra and Aqua are employed with each satellite providing twice per day coverage (more frequent over Alaska). While the frequency of imagery is much less than with GOES the higher resolution of these satellites (1 km along the suborbital track) allows for detection of smaller and/or cooler burning fires. Each of the algorithms utilizes a number of temporal, thermal and contextual filters in an attempt to screen out false detects. However, false detects do get processed by the algorithms to varying degrees. Therefore, the automated fire detects from each algorithm are quality controlled by an analyst who scans the imagery and may either accept or delete fire points. The analyst also has the ability to manually add additional fire points based on the imagery. Smoke is outlined by the analyst using visible imagery, primarily GOES which provides 1 km resolution. Occasionally a smoke plume seen in visible imagery is the only indicator of a fire and would be manually added to the fire detect file. The Hybrid Single-Particle Lagrangian Integrated Trajectory (HYSPLIT) is a forecast model that projects the trajectory and dispersion of a smoke plume over a period of time. The HYSPLIT is run for fires that are selected by the analyst that are seen to be producing a significant smoke plume. The analyst defines a smoke producing area commensurate with the size of the fire and amount of smoke detected. The output is hosted on an Air Resources Lab (ARL) web site which can be accessed from the web site listed below. All of the information is posted to the web page noted below. Besides the interactive GIS presentation users can view the product in graphical jpg format. The analyst edited points as well as the unedited automated fire detects are available for users to view directly on the web page or to download. All of the data is also archived and accessed via ftp.

  8. NOAA History - NOAA Then and Now

    Science.gov Websites

    NOAA History Banner gold bar divider home - takes you to index page about the site contacts noaa formed agency. The documents in this section include information on the history of the formation of NOAA . agency history noaa seal NOAA Historical background information on NOAA as an agency of the Department of

  9. The Global Geostationary Wildfire ABBA: Current Implementation and Future Plans

    NASA Astrophysics Data System (ADS)

    Prins, E.; Schmidt, C. C.; Hoffman, J.; Brunner, J.; Hyer, E. J.; Reid, J. S.

    2012-12-01

    The Wild Fire Automated Biomass Burning Algorithm (WF_ABBA), developed at the Cooperative Institute for Meteorological Satellite Studies (CIMSS), has a long legacy of operational near real-time wildfire detection and characterization in the Western Hemisphere. The first phase of the global geostationary WF_ABBA was made operational at NOAA NESDIS in 2009 and currently includes diurnal active fire monitoring from GOES-East, GOES-South America, GOES-West, Meteosat-9 and MTSAT-1R/-2. This allows for near global active fire monitoring with coverage of Europe, Africa, Southeast Asia and the Western Pacific utilizing distinct geostationary sensors and a consistent algorithm. Version 6.5.006 of the WF_ABBA was specifically designed to address the capabilities and limitations of diverse geostationary sensors and requests from the global fire monitoring and user community. This presentation will provide an overview of version 6.5.006 of the global WF_ABBA fire product including the new fire and opaque cloud mask and associated metadata. We will demonstrate the WF_ABBA showing examples from around the globe with a focus on the capabilities and plans for integrating new geostationary platforms with coverage of Eastern Europe and Asia (INSAT-3D, Korean COMS, Russian GOMS Elektro-L MSU-GS). We are also preparing for future fire monitoring in the Western Hemisphere, Europe, and Africa utilizing the next generation GOES-R Imager and Meteosat Third Generation Flexible Combined Imager (MTG - FCI). The goal is to create a globally consistent long-term fire product utilizing the capabilities of each of these unique operational systems and a common fire detection algorithm. On an international level, development of a global geostationary fire monitoring system is supported by the IGOS GOFC/GOLD Fire Implementation Team. This work also generally supports Committee on Earth Observation Satellites (CEOS) activities and the Group on Earth Observations (GEO).

  10. Use of Air Quality Observations by the National Air Quality Forecast Capability

    NASA Astrophysics Data System (ADS)

    Stajner, I.; McQueen, J.; Lee, P.; Stein, A. F.; Kondragunta, S.; Ruminski, M.; Tong, D.; Pan, L.; Huang, J. P.; Shafran, P.; Huang, H. C.; Dickerson, P.; Upadhayay, S.

    2015-12-01

    The National Air Quality Forecast Capability (NAQFC) operational predictions of ozone and wildfire smoke for the United States (U.S.) and predictions of airborne dust for continental U.S. are available at http://airquality.weather.gov/. NOAA National Centers for Environmental Prediction (NCEP) operational North American Mesoscale (NAM) weather predictions are combined with the Community Multiscale Air Quality (CMAQ) model to produce the ozone predictions and test fine particulate matter (PM2.5) predictions. The Hybrid Single Particle Lagrangian Integrated Trajectory (HYSPLIT) model provides smoke and dust predictions. Air quality observations constrain emissions used by NAQFC predictions. NAQFC NOx emissions from mobile sources were updated using National Emissions Inventory (NEI) projections for year 2012. These updates were evaluated over large U.S. cities by comparing observed changes in OMI NO2 observations and NOx measured by surface monitors. The rate of decrease in NOx emission projections from year 2005 to year 2012 is in good agreement with the observed changes over the same period. Smoke emissions rely on the fire locations detected from satellite observations obtained from NESDIS Hazard Mapping System (HMS). Dust emissions rely on a climatology of areas with a potential for dust emissions based on MODIS Deep Blue aerosol retrievals. Verification of NAQFC predictions uses AIRNow compilation of surface measurements for ozone and PM2.5. Retrievals of smoke from GOES satellites are used for verification of smoke predictions. Retrievals of dust from MODIS are used for verification of dust predictions. In summary, observations are the basis for the emissions inputs for NAQFC, they are critical for evaluation of performance of NAQFC predictions, and furthermore they are used in real-time testing of bias correction of PM2.5 predictions, as we continue to work on improving modeling and emissions important for representation of PM2.5.

  11. Community Radiative Transfer Model for Satellite Radiance Simulation

    NASA Astrophysics Data System (ADS)

    Liu, Q.; Han, Y.; Chen, Y.; van Delst, P.; Weng, F.

    2007-12-01

    The Community Radiative Transfer Model (CRTM) [Weng et al., 2005], developed at U.S. Joint Center for Satellite Data Assimilation (JCSDA), has been used for the satellite radiance simulation and the radiance derivatives to the surface/atmospheric parameters in the physical retrieval [Boukabara et al., 2007], data assimilation [Le Marshall et al., 2006] and many others [Han et al., 2006; Liu and Weng, 2006]. CRTM has been become a key component in U.S. data assimilation at the National Center for Environmental Prediction (NCEP) [Okamoto and. Derber, 2006]. It is a core engine for NOAA/NESDIS Microwave Integrated Retrieval System (MIRS) [Boukabara et al., 2007]. The CRTM has also been implemented into Weather Research Forecasting (WRF) model. The CRTM is known as modular program development [van Delst et al., 2006], which breaks down the radiative transfer model into components, each of which is encapsulated in one or several program modules and can be developed independently of the others. The key components of the CRTM are the advanced surface emissivity and reflectivity models [van Delst and Wu, 2000; English 1999; Weng et al. 2001] including a polarimetric surface emissivity model [Liu and Weng, 2003], the fast Optical Path Transmittance (OPTRAN) model [Xiong et al., 2006], the cloud absorption/scattering look-up tables [Yang et al., 2000], and the advanced radiative solver [Liu and Weng, 2006]. The CRTM can also compute aerosol radiance. The CRTM can deal with Zeeman splitting effect, the energy received in the channels for the stratosphere and mesosphere depends strongly on the geomagnetic field and its orientation with respect to the direction of observation [Han et al., 2007]. We will also present the applications of the CRTM in hurricane detection and forecasting, in the determination of stratospheric temperature, a key contributing factor to photochemical ozone depletion, and in reanalysis and climate studies.

  12. Evaluation of Reprocessed Suomi NPP VIIRS Sensor Data Records based on Sensitivity of Environmental Data Records Trending to Changes in Sensor Data Records

    NASA Astrophysics Data System (ADS)

    Huang, J.; Weng, F.; Sun, N.

    2017-12-01

    As the inputs to satellite Environmental Data Records (EDR) that provide continuous monitoring of Earth System changes from space, Sensor Data Records (SDR) need to meet very high standards of accuracy. SDR reprocessing, aiming for accurately accounting sensor degradation and calibration issues, is therefore very important in satellite remote sensing. Previous studies on heritage Terra MODIS in NASA Earth Observation System (EOS) indicated that SDR degradation over time, if not correctly calibrated and reprocessed, can result in false trending in several key satellite EDR observations, such as aerosol optical depth (AOD) and vegetation index (VI). Yet the sensitivity of these EDRs to the changes in the reprocessed SDRs is still not comprehensively understood or quantified. As part of the Suomi NPP SDR long term monitoring efforts, the current ongoing SDR reprocessing at NOAA NESDIS STAR provides a unique test bed for quantifying the changes of EDRs to the reprocessed SDRs, and thus improves our understanding of the potential impacts of the SDR reprocessing on our capability of critical Earth observations. For the sensitivity investigation, we selected the VIIRS aerosol algorithm, which EDR algorithm uses most of the visible to near infrared (VIS-NIR) SDR bands. Several aerosol hotspot regions over the globe are selected for conducting AOD trending analysis under several prescribed SDR reprocessing scenarios, and the changes in the spatial and temporal characterizations of AOD are linked to the changes in SDR for exploration of any potential systematic relations. Preliminary results indicated that although changes varies by regions and seasons, some EDRs can be sensitive to even slight SDR changes in certain VIS-NIR bands. The study sheds important lights on how we can use the SDR-EDR relation as an additional approach to facilitate the SDR reprocessing evaluation. Details of the finding will be reported at the presentation.

  13. The ESRC: A Web-based Environmental Satellite Resource Center

    NASA Astrophysics Data System (ADS)

    Abshire, W. E.; Guarente, B.; Dills, P. N.

    2009-12-01

    The COMET® Program has developed an Environmental Satellite Resource Center (known as the ESRC), a searchable, database-driven Website that provides easy access to a wide range of useful information training materials on polar-orbiting and geostationary satellites. Primarily sponsored by the NPOESS Program and NOAA, the ESRC is a tool for users seeking reliable sources of satellite information, training, and data. First published in September 2008, and upgraded in April 2009, the site is freely available at: http://www.meted.ucar.edu/esrc. Additional contributions to the ESRC are sought and made on an ongoing basis. The ESRC was created in response to a broad community request first made in May 2006. The COMET Program was asked to develop the site to consolidate and simplify access to reliable, current, and diverse information, training materials, and data associated with environmental satellites. The ESRC currently includes over 400 significant resources from NRL, CIMSS, CIRA, NASA, VISIT, NESDIS, and EUMETSAT, and improves access to the numerous satellite resources available from COMET’s MetEd Website. The ESRC is designed as a community site where organizations and individuals around the globe can easily submit their resources via online forms by providing a small set of metadata. The ESRC supports languages other than English and multi-lingual character sets have been tested. COMET’s role is threefold: 1) maintain the site, 2) populate it with our own materials, including smaller, focused learning objects derived from our larger training modules, and 3) provide the necessary quality assurance and monitoring to ensure that all resources are appropriate and well described before being made available. Our presentation will demonstrate many of the features and functionality of searching for resources using the ESRC, and will outline the steps for users to make their own submissions. For the site to reach its full potential, submissions representing diverse interests and intended for diverse audiences are strongly encouraged.

  14. NOAA Photo Library - Contacts

    Science.gov Websites

    NOAA Photo Library Banner Takes you to the Top Page Takes you to the About this Site page. Takes concerning this site, please contact: NOAA Photo Library NOAA Central Library Email: photolibrary@noaa.gov Library NOAA Privacy Policy | NOAA Disclaimer Last Updated: September 30, 2009

  15. JPSS Preparations at the Satellite Proving Ground for Marine, Precipitation, and Satellite Analysis

    NASA Technical Reports Server (NTRS)

    Folmer, Michael J.; Berndt, E.; Clark, J.; Orrison, A.; Kibler, J.; Sienkiewicz, J.; Nelson, J.; Goldberg, M.; Sjoberg, W.

    2016-01-01

    The ocean prediction center at the national hurricane center's tropical analysis and forecast Branch, the Weather Prediction center and the Satellite analysis branch of NESDIS make up the Satellite Proving Ground for Marine, Precipitation and Satellite Analysis. These centers had early exposure to JPSS products using the S-NPP Satellite that was launched in 2011. Forecasters continue to evaluate new products in anticipation for the launch of JPSS-1 sometime in 2017.

  16. Satellite Data Product and Data Dissemination Updates for the SPoRT Sea Surface Temperature Composite Product

    NASA Technical Reports Server (NTRS)

    Zavodsky, Bradley; LaFontaine, Frank; Berndt, Emily; Meyer, Paul; Jedlovec, Gary

    2017-01-01

    The SPoRT SST composite is a reliable and robust high-resolution product generated twice per day in near real time. It incorporates highest quality data satellite data from infrared imagers and global analysis from NESDIS and UKMO. Recent updates to the product include the inclusion of VIIRS data to extend the life of the product beyond the MODIS era. It is used by a number of users in their DSS.

  17. NOAA History - Main Page

    Science.gov Websites

    NOAA History Banner gold bar divider home - takes you to index page about the site contacts noaa americas science and service noaa legacy 1807 - 2007 NOAA History is an intrinsic part of the history of Initiative scroll divider More NOAA History from Around the Nation scroll divider drawing of a tornado NOAA

  18. NOAA's Workforce Management Office - Careers

    Science.gov Websites

    NOAA - National Oceanic and Atmospheric Administration - [title] Home About WFMO Career Managers About NOAA Career Fields NOAA Vacancies Student, Graduate, Faculty Options What NOAA Has To Offer . NOAA: a career that makes a world of difference! The National Oceanic and Atmospheric Administration

  19. NWS Marine Links

    Science.gov Websites

    mariner. The U.S. Coast Guard Maritime Telecommunications webpage contains an excellent description of /owlie/publication_brochures NOAA Data Buoy Center http://www.ndbc.noaa.gov/ NOAA Weather Radio http /ncdc.html NOAA's National Oceanographic Data Center (NODC) http://www.nodc.noaa.gov NOAA Coastwatch http

  20. NOAA Photo Library

    Science.gov Websites

    NOAA Photo Library Banner Takes you to the Top Page Takes you to the About this Site page. Takes Collections page. Takes you to the search page. Takes you to the Links page. NOAA Photo Library Image Commerce, National Oceanic & Atmospheric Adminstration (NOAA), NOAA Central Library NOAA Privacy Policy

  1. University of Maryland Research Affiliate

    Science.gov Websites

    NOAA logo - Click to go to the NOAA homepage Betty Petersen Memorial Library NOAA Library Logo login! DOC/ NOAA/ NOAA Central Library Betty Petersen Memorial Library 5830 University Research Court

  2. NOAA History - About This Site

    Science.gov Websites

    .), presently with the NOAA Central Library as a Technical Information Specialist. Weather Bureau History : Dr others. Coast and Geodetic Survey History: Captain Albert E. Theberge, NOAA Corps (ret.), NOAA Central NOAA History Banner gold bar divider home - takes you to index page about the site contacts noaa

  3. Files in /noaa/dhs

    Science.gov Websites

    noaa_20110510_wbg.gif 10-May-2011 20:58 31K generic file noaa_20110510_wbg.pdf 10-May-2011 20:58 128K generic file noaa_20110513_wbg.gif 13-May-2011 20:10 27K generic file noaa_20110513_wbg.pdf 13-May-2011 20:10 122K generic file noaa_20110518_wbg.gif 18-May-2011 21:10 33K generic file noaa_20110518_wbg.pdf 18-May-2011 21:10 128K generic file

  4. NOAA Weather Radio - Outage Reporting

    Science.gov Websites

    SAME Programación en Español NOAA Social Media NOAA Youtube NOAA's Facebook NOAA Twitter Feed NWS Youtube NWS Facebook NWS Twitter Feed USA.GOV Image US Dept of Commerce National Oceanic and Atmospheric

  5. NOAA Photo Library - Voyage to Inner Space -- Exploring the Seas with NOAA

    Science.gov Websites

    Inner Space - Exploring the Sea with NOAA NOAA and its ancestor agencies have been exploring the sea for Inner Space -- Exploring the Sea with NOAA fish Ocean Exploration Collection submersible National

  6. 76 FR 72905 - Proposed Information Collection; Comment Request; Certification Requirements for Distributors of...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2011-11-28

    ... Collection; Comment Request; Certification Requirements for Distributors of NOAA Electronic Navigational Charts/ NOAA Hydrographic Products AGENCY: National Oceanic and Atmospheric Administration (NOAA... Certification Requirements for Distributors of NOAA Electronic Navigational Charts (NOAA ENCs[reg]). The...

  7. 15 CFR 995.12 - Certification designation.

    Code of Federal Regulations, 2012 CFR

    2012-01-01

    ... REQUIREMENTS FOR NOAA HYDROGRAPHIC PRODUCTS AND SERVICES CERTIFICATION REQUIREMENTS FOR DISTRIBUTORS OF NOAA... been certified by NOAA as a CED may use the phrase “Certified NOAA ENC Distributor” on products and marketing materials. An Applicant that has been certified by NOAA as a CEVAD may use the phrase “Certified...

  8. 15 CFR 995.28 - Use of NOAA emblem.

    Code of Federal Regulations, 2011 CFR

    2011-01-01

    ... 15 Commerce and Foreign Trade 3 2011-01-01 2011-01-01 false Use of NOAA emblem. 995.28 Section 995... REQUIREMENTS FOR NOAA HYDROGRAPHIC PRODUCTS AND SERVICES CERTIFICATION REQUIREMENTS FOR DISTRIBUTORS OF NOAA HYDROGRAPHIC PRODUCTS Requirements for Certified Distributors and Value Added Distributors of NOAA ENC Products...

  9. 15 CFR 995.12 - Certification designation.

    Code of Federal Regulations, 2011 CFR

    2011-01-01

    ... REQUIREMENTS FOR NOAA HYDROGRAPHIC PRODUCTS AND SERVICES CERTIFICATION REQUIREMENTS FOR DISTRIBUTORS OF NOAA... been certified by NOAA as a CED may use the phrase “Certified NOAA ENC Distributor” on products and marketing materials. An Applicant that has been certified by NOAA as a CEVAD may use the phrase “Certified...

  10. 15 CFR 995.28 - Use of NOAA emblem.

    Code of Federal Regulations, 2012 CFR

    2012-01-01

    ... 15 Commerce and Foreign Trade 3 2012-01-01 2012-01-01 false Use of NOAA emblem. 995.28 Section 995... REQUIREMENTS FOR NOAA HYDROGRAPHIC PRODUCTS AND SERVICES CERTIFICATION REQUIREMENTS FOR DISTRIBUTORS OF NOAA HYDROGRAPHIC PRODUCTS Requirements for Certified Distributors and Value Added Distributors of NOAA ENC Products...

  11. 15 CFR 995.12 - Certification designation.

    Code of Federal Regulations, 2014 CFR

    2014-01-01

    ... REQUIREMENTS FOR NOAA HYDROGRAPHIC PRODUCTS AND SERVICES CERTIFICATION REQUIREMENTS FOR DISTRIBUTORS OF NOAA... been certified by NOAA as a CED may use the phrase “Certified NOAA ENC Distributor” on products and marketing materials. An Applicant that has been certified by NOAA as a CEVAD may use the phrase “Certified...

  12. 15 CFR 995.12 - Certification designation.

    Code of Federal Regulations, 2013 CFR

    2013-01-01

    ... REQUIREMENTS FOR NOAA HYDROGRAPHIC PRODUCTS AND SERVICES CERTIFICATION REQUIREMENTS FOR DISTRIBUTORS OF NOAA... been certified by NOAA as a CED may use the phrase “Certified NOAA ENC Distributor” on products and marketing materials. An Applicant that has been certified by NOAA as a CEVAD may use the phrase “Certified...

  13. 15 CFR 995.28 - Use of NOAA emblem.

    Code of Federal Regulations, 2013 CFR

    2013-01-01

    ... 15 Commerce and Foreign Trade 3 2013-01-01 2013-01-01 false Use of NOAA emblem. 995.28 Section 995... REQUIREMENTS FOR NOAA HYDROGRAPHIC PRODUCTS AND SERVICES CERTIFICATION REQUIREMENTS FOR DISTRIBUTORS OF NOAA HYDROGRAPHIC PRODUCTS Requirements for Certified Distributors and Value Added Distributors of NOAA ENC Products...

  14. 15 CFR 995.28 - Use of NOAA emblem.

    Code of Federal Regulations, 2014 CFR

    2014-01-01

    ... 15 Commerce and Foreign Trade 3 2014-01-01 2014-01-01 false Use of NOAA emblem. 995.28 Section 995... REQUIREMENTS FOR NOAA HYDROGRAPHIC PRODUCTS AND SERVICES CERTIFICATION REQUIREMENTS FOR DISTRIBUTORS OF NOAA HYDROGRAPHIC PRODUCTS Requirements for Certified Distributors and Value Added Distributors of NOAA ENC Products...

  15. Betty Petersen Memorial Library

    Science.gov Websites

    NOAA logo - Click to go to the NOAA homepage Betty Petersen Memorial Library NOAA Library Logo ... library image Betty Petersen Memorial Library is a branch of the NOAA Central Library jointly funded by / NOAA Central Library Betty Petersen Memorial Library 5830 University Research Court Room 1650, E / OC4

  16. Contact Information - Betty Petersen Memorial Library

    Science.gov Websites

    NOAA logo - Click to go to the NOAA homepage Betty Petersen Memorial Library NOAA Library Logo Center for Weather and Climate Prediction Betty Petersen Memorial Library 5830 University Research Court Send Comments DOC/ NOAA/ NOAA Central Library Betty Petersen Memorial Library 5830 University Research

  17. NOAA Photo Library

    Science.gov Websites

    NOAA Photo Library Banner Takes you to the Top Page Takes you to the About this Site page. Takes Collections page. Takes you to the search page. Takes you to the Links page. NOAA Photo Library Image Central Library NOAA Privacy Policy | NOAA Disclaimer Last Updated: November 10, 2017

  18. NOAA Photo Library

    Science.gov Websites

    NOAA Photo Library Banner Takes you to the Top Page Takes you to the About this Site page. Takes Collections page. Takes you to the search page. Takes you to the Links page. NOAA Photo Library Image Library NOAA Privacy Policy | NOAA Disclaimer Last Updated: November 10, 2017

  19. 15 CFR 995.28 - Use of NOAA emblem.

    Code of Federal Regulations, 2010 CFR

    2010-01-01

    ... 15 Commerce and Foreign Trade 3 2010-01-01 2010-01-01 false Use of NOAA emblem. 995.28 Section 995... REQUIREMENTS FOR NOAA HYDROGRAPHIC PRODUCTS AND SERVICES CERTIFICATION REQUIREMENTS FOR DISTRIBUTORS OF NOAA HYDROGRAPHIC PRODUCTS Requirements for Certified Distributors and Value Added Distributors of NOAA ENC Products...

  20. 15 CFR 995.12 - Certification designation.

    Code of Federal Regulations, 2010 CFR

    2010-01-01

    ... REQUIREMENTS FOR NOAA HYDROGRAPHIC PRODUCTS AND SERVICES CERTIFICATION REQUIREMENTS FOR DISTRIBUTORS OF NOAA... been certified by NOAA as a CED may use the phrase “Certified NOAA ENC Distributor” on products and marketing materials. An Applicant that has been certified by NOAA as a CEVAD may use the phrase “Certified...

  1. GEONETCast Americas - Architecture

    Science.gov Websites

    Exploitation of Meteorological Satellites NOAA National Oceanic and Atmospheric Administration NOAA-OSPO NOAA's reserved. the National Oceanic and Atmospheric Administration (NOAA) Last Updated 2016-04-18 GEONETCast

  2. A Fast Response Capability within NOAA/NOS/CO-OPS

    DTIC Science & Technology

    2007-01-01

    A Fast Response Capability within NOAA/NOS/CO-OPS P. B. Burke NOAA/National Ocean Service/CO-OPS 1305 East-West Hwy. Silver Spring, MD 20910...USA pat.burke@noaa.gov T. Graff NOAA/National Ocean Service/CO-OPS 1305 East-West Hwy. Silver Spring, MD 20910 USA tammy.graff@noaa.gov... flotation hull, an instrumentation tower mounted atop the hull and a current meter mount with a mooring attachment. The triangular tower housed two

  3. 15 CFR 904.106 - Compromise of civil penalty.

    Code of Federal Regulations, 2014 CFR

    2014-01-01

    ... PROCEDURES Civil Penalties § 904.106 Compromise of civil penalty. (a) NOAA, in its sole discretion, may... NOAA under this section may be exercised either upon the initiative of NOAA or in response to a request... compromise authority of NOAA under this section nor NOAA's exercise thereof at any time changes the date upon...

  4. 15 CFR 904.106 - Compromise of civil penalty.

    Code of Federal Regulations, 2012 CFR

    2012-01-01

    ... PROCEDURES Civil Penalties § 904.106 Compromise of civil penalty. (a) NOAA, in its sole discretion, may... NOAA under this section may be exercised either upon the initiative of NOAA or in response to a request... compromise authority of NOAA under this section nor NOAA's exercise thereof at any time changes the date upon...

  5. 15 CFR 911.7 - Continuation of the NOAA Data Collection Systems.

    Code of Federal Regulations, 2013 CFR

    2013-01-01

    ... 15 Commerce and Foreign Trade 3 2013-01-01 2013-01-01 false Continuation of the NOAA Data... REGULATIONS POLICIES AND PROCEDURES CONCERNING USE OF THE NOAA SPACE-BASED DATA COLLECTION SYSTEMS § 911.7 Continuation of the NOAA Data Collection Systems. (a) NOAA expects to continue to operate DCS on its...

  6. 15 CFR 911.7 - Continuation of the NOAA Data Collection Systems.

    Code of Federal Regulations, 2014 CFR

    2014-01-01

    ... 15 Commerce and Foreign Trade 3 2014-01-01 2014-01-01 false Continuation of the NOAA Data... REGULATIONS POLICIES AND PROCEDURES CONCERNING USE OF THE NOAA SPACE-BASED DATA COLLECTION SYSTEMS § 911.7 Continuation of the NOAA Data Collection Systems. (a) NOAA expects to continue to operate DCS on its...

  7. 15 CFR 911.7 - Continuation of the NOAA Data Collection Systems.

    Code of Federal Regulations, 2011 CFR

    2011-01-01

    ... 15 Commerce and Foreign Trade 3 2011-01-01 2011-01-01 false Continuation of the NOAA Data... REGULATIONS POLICIES AND PROCEDURES CONCERNING USE OF THE NOAA SPACE-BASED DATA COLLECTION SYSTEMS § 911.7 Continuation of the NOAA Data Collection Systems. (a) NOAA expects to continue to operate DCS on its...

  8. 15 CFR 911.7 - Continuation of the NOAA Data Collection Systems.

    Code of Federal Regulations, 2012 CFR

    2012-01-01

    ... 15 Commerce and Foreign Trade 3 2012-01-01 2012-01-01 false Continuation of the NOAA Data... REGULATIONS POLICIES AND PROCEDURES CONCERNING USE OF THE NOAA SPACE-BASED DATA COLLECTION SYSTEMS § 911.7 Continuation of the NOAA Data Collection Systems. (a) NOAA expects to continue to operate DCS on its...

  9. 15 CFR 904.106 - Compromise of civil penalty.

    Code of Federal Regulations, 2011 CFR

    2011-01-01

    ... PROCEDURES Civil Penalties § 904.106 Compromise of civil penalty. (a) NOAA, in its sole discretion, may... NOAA under this section may be exercised either upon the initiative of NOAA or in response to a request... compromise authority of NOAA under this section nor NOAA's exercise thereof at any time changes the date upon...

  10. NOAA Photo Library

    Science.gov Websites

    NOAA Photo Library Banner Takes you to the Top Page Takes you to the About this Site page. Takes Collections page. Takes you to the search page. Takes you to the Links page. NOAA Photo Library Image , Enid Photo Date: June 5, 1966 Photographer: Leo Ainsworth Credit: NOAA Photo Library, NOAA Central

  11. NOAA Photo Library

    Science.gov Websites

    NOAA Photo Library Banner Takes you to the Top Page Takes you to the About this Site page. Takes Collections page. Takes you to the search page. Takes you to the Links page. NOAA Photo Library Image Storms Laboratory (NSSL) Collection Credit: NOAA Photo Library, NOAA Central Library; OAR/ERL/National

  12. NOAA Photo Library

    Science.gov Websites

    NOAA Photo Library Banner Takes you to the Top Page Takes you to the About this Site page. Takes Collections page. Takes you to the search page. Takes you to the Links page. NOAA Photo Library Image Photographer: Jim Leonard Credit: NOAA Photo Library, NOAA Central Library; OAR/ERL/National Severe Storms

  13. NOAA Photo Library

    Science.gov Websites

    NOAA Photo Library Banner Takes you to the Top Page Takes you to the About this Site page. Takes Collections page. Takes you to the search page. Takes you to the Links page. NOAA Photo Library Image Location: SW of Cheyenne, Oklahoma Photo Date: May 16, 1977 Credit: NOAA Photo Library, NOAA Central

  14. NOAA Photo Library

    Science.gov Websites

    NOAA Photo Library Banner Takes you to the Top Page Takes you to the About this Site page. Takes Collections page. Takes you to the search page. Takes you to the Links page. NOAA Photo Library Image ) Collection Location: Texas, Wichita Falls Photo Date: April 10, 1979 Credit: NOAA Photo Library, NOAA Central

  15. NOAA Photo Library

    Science.gov Websites

    NOAA Photo Library Banner Takes you to the Top Page Takes you to the About this Site page. Takes Collections page. Takes you to the search page. Takes you to the Links page. NOAA Photo Library Image Ainsworth Credit: NOAA Photo Library, NOAA Central Library; OAR/ERL/National Severe Storms Laboratory (NSSL

  16. NOAA - National Oceanic and Atmospheric Administration

    Science.gov Websites

    Click to look up weather forecast by City, State Active Weather Alerts Home NOAA Corporate Finance and NOAA Corporate Finance and Administrative Services Offices Sapelo Island Lighthouse. Sapelo Island . NOAA Corporate Finance and Administrative Services offices strive to deliver quality services to NOAA's

  17. 15 CFR 911.7 - Continuation of the NOAA Data Collection Systems.

    Code of Federal Regulations, 2010 CFR

    2010-01-01

    ... 15 Commerce and Foreign Trade 3 2010-01-01 2010-01-01 false Continuation of the NOAA Data... REGULATIONS POLICIES AND PROCEDURES CONCERNING USE OF THE NOAA SPACE-BASED DATA COLLECTION SYSTEMS § 911.7 Continuation of the NOAA Data Collection Systems. (a) NOAA expects to continue to operate DCS on its...

  18. 15 CFR 904.106 - Compromise of civil penalty.

    Code of Federal Regulations, 2010 CFR

    2010-01-01

    ... PROCEDURES Civil Penalties § 904.106 Compromise of civil penalty. (a) NOAA, in its sole discretion, may... NOAA under this section may be exercised either upon the initiative of NOAA or in response to a request... compromise authority of NOAA under this section nor NOAA's exercise thereof at any time changes the date upon...

  19. NOAA's Big Data Partnership and Applications to Ocean Sciences

    NASA Astrophysics Data System (ADS)

    Kearns, E. J.

    2016-02-01

    New opportunities for the distribution of NOAA's oceanographic and other environmental data are being explored through NOAA's Big Data Partnership (BDP) with Amazon Web Services, Google Cloud Platform, IBM, Microsoft Corp. and the Open Cloud Consortium. This partnership was established in April 2015 through Cooperative Research and Development Agreements, and is seeking new, financially self-sustaining collaborations between the Partners and the federal government centered upon NOAA's data and their potential value in the information marketplace. We will discuss emerging opportunities for collaboration among businesses and NOAA, progress in making NOAA's ocean data more widely accessible through the Partnerships, and applications based upon this access to NOAA's data.

  20. 15 CFR 995.13 - Transfer of certification.

    Code of Federal Regulations, 2014 CFR

    2014-01-01

    ... REQUIREMENTS FOR NOAA HYDROGRAPHIC PRODUCTS AND SERVICES CERTIFICATION REQUIREMENTS FOR DISTRIBUTORS OF NOAA... the Office of Coast Survey, NOAA for acceptance. The Office of Coast Survey, NOAA will provide written...

  1. 15 CFR 995.13 - Transfer of certification.

    Code of Federal Regulations, 2012 CFR

    2012-01-01

    ... REQUIREMENTS FOR NOAA HYDROGRAPHIC PRODUCTS AND SERVICES CERTIFICATION REQUIREMENTS FOR DISTRIBUTORS OF NOAA... the Office of Coast Survey, NOAA for acceptance. The Office of Coast Survey, NOAA will provide written...

  2. 15 CFR 995.13 - Transfer of certification.

    Code of Federal Regulations, 2013 CFR

    2013-01-01

    ... REQUIREMENTS FOR NOAA HYDROGRAPHIC PRODUCTS AND SERVICES CERTIFICATION REQUIREMENTS FOR DISTRIBUTORS OF NOAA... the Office of Coast Survey, NOAA for acceptance. The Office of Coast Survey, NOAA will provide written...

  3. 15 CFR 995.13 - Transfer of certification.

    Code of Federal Regulations, 2011 CFR

    2011-01-01

    ... REQUIREMENTS FOR NOAA HYDROGRAPHIC PRODUCTS AND SERVICES CERTIFICATION REQUIREMENTS FOR DISTRIBUTORS OF NOAA... the Office of Coast Survey, NOAA for acceptance. The Office of Coast Survey, NOAA will provide written...

  4. 15 CFR 995.13 - Transfer of certification.

    Code of Federal Regulations, 2010 CFR

    2010-01-01

    ... REQUIREMENTS FOR NOAA HYDROGRAPHIC PRODUCTS AND SERVICES CERTIFICATION REQUIREMENTS FOR DISTRIBUTORS OF NOAA... the Office of Coast Survey, NOAA for acceptance. The Office of Coast Survey, NOAA will provide written...

  5. Uncontrolled hypertension among patients managed in primary healthcare facilities in Kinshasa, Democratic Republic of the Congo.

    PubMed

    Kika, T M; Lepira, F B; Kayembe, P K; Makulo, J R; Sumaili, E K; Kintoki, E V; M'Buyamba-Kabangu, J R

    Uncontrolled hypertension remains an important issue in daily clinical practice worldwide. Although the majority of patients are treated in primary care, most of the data on blood pressure control originate from population-based studies or secondary healthcare. The aim of this study was to evaluate the frequency of uncontrolled hypertension and associated risk factors among hypertensive patients followed at primary care facilities in Kinshasa, the capital city of Democratic Republic of the Congo. A sample of 298 hypertensive patients seen at primary healthcare facilities, 90 men and 208 women, aged ≥ 18 years, were consecutively included in this cross-sectional study. The majority (66%) was receiving monotherapy, and diuretics (43%) were the most used drugs. According to 2007 European Society of Hypertension/European Society of Cardiology hypertension guidelines, uncontrolled hypertension was defined as blood pressure ≥ 140/90 or ≥ 130/80 mmHg (diabetes or chronic kidney disease). Logistic regression analysis was used to identify the determinants of uncontrolled hypertension. Uncontrolled hypertension was observed in 231 patients (77.5%), 72 men and 159 women. Uncontrolled systolic blood pressure (SBP) was more frequent than uncontrolled diastolic blood pressure (DBP) and increased significantly with advancing age (p = 0.002). The proportion of uncontrolled SBP and DBP was significantly higher in patients with renal failure (p = 0.01) and those with high (p = 0.03) to very high (p = 0.02) absolute cardiovascular risk. The metabolic syndrome (OR 2.40; 95% CI 1.01-5.74; p = 0.04) emerged as the main risk factor associated with uncontrolled hypertension. Uncontrolled hypertension was common in this case series and was associated with factors related to lifestyle and diet, which interact with blood pressure control.

  6. Movement - uncontrolled or slow

    MedlinePlus

    Dystonia; Involuntary slow and twisting movements; Choreoathetosis; Leg and arm movements - uncontrollable; Arm and leg movements - uncontrollable; Slow involuntary movements of large muscle groups; Athetoid movements

  7. Creating a More Inclusive Talent Pool for the GeoSciences in NOAA Mission Fields:

    NASA Astrophysics Data System (ADS)

    Rousseau, J.; Trotman, A. A.

    2014-12-01

    The National Oceanic and Atmospheric Administration (NOAA) Educational Partnership Program (EPP) with Minority Serving Institutions (MSI) is recognized as a model federal Science, Technology, Engineering, and Mathematics, (STEM) education investment. The EPP has a premier goal of increasing the numbers of students, especially from underrepresented communities, who are trained and awarded degrees in NOAA mission-relevant STEM fields. This goal is being achieved through awards to support undergraduate and graduate level student scholarships and to enhance NOAA mission-relevant education, research and internships at EPP Cooperative Science Centers located at MSIs. The internships allow undergraduate students to gain technical experience in STEM fields while gaining an understanding of a science mission agency such as NOAA. EPP has built evidence supporting the value of internships with its Undergraduate Scholarship Program (USP). Program metrics are used to refine and improve the internship to ensure student success. Scholarships are competitively awarded and requires applicants to submit a personal statement detailing the NOAA-relevant professional experience the applicant seeks to acquire, and gauges the depth of understanding of the work of NOAA.A focus is the EPP USP Student Internship at NOAA, which has two training phases. The first occurs at NOAA HQ in Maryland and incorporates exposure to NOAA professional culture including mentoring and professional development for scholarship recipients. The second occurs at NOAA facilities in the 50 states and US Territories. The internship projects are conducted under the supervision of a NOAA mentor and allow the scholars to: acquire increased science and technology skills: be attached to a research group and participate in a research activity as part of the team; and, acquire practical experience and knowledge of the day-to-day work of the NOAA facility. EPP has recently initiated the Experiential Research and Training Opportunities (NERTO) for students from the CSCs. The NERTO is a longer term immersion at NOAA facilities, with a NOAA mentor working collaboratively with their academic advisor on a NOAA science priority. Consequently, the NERTO is strengthening the undergraduate to graduate education and workforce pipeline.

  8. 15 CFR 911.4 - Use of the NOAA Data Collection Systems.

    Code of Federal Regulations, 2013 CFR

    2013-01-01

    ... 15 Commerce and Foreign Trade 3 2013-01-01 2013-01-01 false Use of the NOAA Data Collection... POLICIES AND PROCEDURES CONCERNING USE OF THE NOAA SPACE-BASED DATA COLLECTION SYSTEMS § 911.4 Use of the NOAA Data Collection Systems. (a) Use of the NOAA DCS will only be authorized in accordance with the...

  9. 15 CFR 911.4 - Use of the NOAA Data Collection Systems.

    Code of Federal Regulations, 2014 CFR

    2014-01-01

    ... 15 Commerce and Foreign Trade 3 2014-01-01 2014-01-01 false Use of the NOAA Data Collection... POLICIES AND PROCEDURES CONCERNING USE OF THE NOAA SPACE-BASED DATA COLLECTION SYSTEMS § 911.4 Use of the NOAA Data Collection Systems. (a) Use of the NOAA DCS will only be authorized in accordance with the...

  10. 15 CFR 911.4 - Use of the NOAA Data Collection Systems.

    Code of Federal Regulations, 2011 CFR

    2011-01-01

    ... 15 Commerce and Foreign Trade 3 2011-01-01 2011-01-01 false Use of the NOAA Data Collection... POLICIES AND PROCEDURES CONCERNING USE OF THE NOAA SPACE-BASED DATA COLLECTION SYSTEMS § 911.4 Use of the NOAA Data Collection Systems. (a) Use of the NOAA DCS will only be authorized in accordance with the...

  11. 15 CFR 911.4 - Use of the NOAA Data Collection Systems.

    Code of Federal Regulations, 2012 CFR

    2012-01-01

    ... 15 Commerce and Foreign Trade 3 2012-01-01 2012-01-01 false Use of the NOAA Data Collection... POLICIES AND PROCEDURES CONCERNING USE OF THE NOAA SPACE-BASED DATA COLLECTION SYSTEMS § 911.4 Use of the NOAA Data Collection Systems. (a) Use of the NOAA DCS will only be authorized in accordance with the...

  12. NOAA Photo Library

    Science.gov Websites

    NOAA Photo Library Banner Takes you to the Top Page Takes you to the About this Site page. Takes Collections page. Takes you to the search page. Takes you to the Links page. NOAA Photo Library Image Location: Near Shamrock, Texas Photo Date: May 16, 1977 Credit: NOAA Photo Library, NOAA Central Library

  13. NOAA Photo Library

    Science.gov Websites

    NOAA Photo Library Banner Takes you to the Top Page Takes you to the About this Site page. Takes Collections page. Takes you to the search page. Takes you to the Links page. NOAA Photo Library Image Location: Union City, Oklahoma Photo Date: May 24, 1973 Credit: NOAA Photo Library, NOAA Central Library

  14. NOAA Photo Library

    Science.gov Websites

    NOAA Photo Library Banner Takes you to the Top Page Takes you to the About this Site page. Takes Collections page. Takes you to the search page. Takes you to the Links page. NOAA Photo Library Image Location: Near Mayfield, Oklahoma Photo Date: May 16, 1977 Credit: NOAA Photo Library, NOAA Central Library

  15. NOAA Photo Library

    Science.gov Websites

    NOAA Photo Library Banner Takes you to the Top Page Takes you to the About this Site page. Takes Collections page. Takes you to the search page. Takes you to the Links page. NOAA Photo Library Image Location: Near Lakeview, Texas Photo Date: April 19, 1977 Credit: NOAA Photo Library, NOAA Central Library

  16. NOAA Photo Library - NOAA People - Portraits in Time Collection

    Science.gov Websites

    Collections page. Takes you to the search page. Takes you to the Links page. NOAA People - Portraits in Time Collage of NOAA People Organizations are built by individuals. An organization is the sum total of the view ALL current images. NOAA People Portraits in Time ~ Albums Coast surveyors in tent Coast &

  17. 75 FR 57739 - Notice of Availability of a Draft NOAA Climate Service Strategic Vision and Framework for Public...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2010-09-22

    ... Draft NOAA Climate Service Strategic Vision and Framework for Public Review, and Notice of Informational Webinar Meetings ACTION: Notice of availability of a draft NOAA Climate Service strategic vision and... to establish a new NOAA Climate Service (NCS). The new service will directly support NOAA's vision of...

  18. 77 FR 76000 - Notice of Availability of Draft Report of the NOAA Research and Development Portfolio Review Task...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2012-12-26

    ... DEPARTMENT OF COMMERCE National Oceanic and Atmospheric Administration (NOAA), Science Advisory... of the NOAA Science Advisory Board (SAB) to announce the availability of the draft report of the SAB... will be available on the NOAA Science Advisory Board Web site at: http://www.sab.noaa.gov/Reports/prtf...

  19. NOAA & Academia Partnership Building Conference. Highlights (3rd, Washington, DC, November 14-15, 2001).

    ERIC Educational Resources Information Center

    National Oceanic and Atmospheric Administration (DOC), Silver Spring, MD.

    In November 2001 the National Oceanic and Atmospheric Administration (NOAA) hosted the third NOAA and Academia Partnership to evaluate, maintain, and expand on efforts to optimize NOAA-university cooperation. Close partnership between the NOAA and U.S. universities has produced many benefits for the U.S. economy and the environment. Based on the…

  20. 77 FR 60106 - Membership of the National Oceanic and Atmospheric Administration Performance Review Board

    Federal Register 2010, 2011, 2012, 2013, 2014

    2012-10-02

    ... Administration (NOAA), Department of Commerce (DOC). ACTION: Notice of Membership of the NOAA Performance Review Board. SUMMARY: In accordance with 5 U.S.C. 4314(c)(4), NOAA announces the appointment of members who will serve on the NOAA Performance Review Board (PRB). The NOAA PRB is responsible for reviewing...

  1. 15 CFR 911.4 - Use of the NOAA Data Collection Systems.

    Code of Federal Regulations, 2010 CFR

    2010-01-01

    ... 15 Commerce and Foreign Trade 3 2010-01-01 2010-01-01 false Use of the NOAA Data Collection... POLICIES AND PROCEDURES CONCERNING USE OF THE NOAA SPACE-BASED DATA COLLECTION SYSTEMS § 911.4 Use of the NOAA Data Collection Systems. (a) Use of the NOAA DCS will only be authorized in accordance with the...

  2. Betty Petersen Memorial Library

    Science.gov Websites

    NOAA logo - Click to go to the NOAA homepage Betty Petersen Memorial Library NOAA Library Logo / NOAA Central Library Betty Petersen Memorial Library 5830 University Research Court Room 1650, E / OC4

  3. NOAA - National Oceanic and Atmospheric Administration - 2008 Sees Fifth

    Science.gov Websites

    Information for NOAA Employees Related Links Satellite measurements NOAA South Pole Observatory NASA Ozone ; South Pole Ozonesonde Total Image. High resolution (Credit: NOAA) NASA satellites measured the maximum

  4. NOAA Photo Library - Meet the Photographers/Commander John C. Bortniak,

    Science.gov Websites

    Coast Guard issued Third Mates License. The NOAA Commissioned Officer Corps was a very attractive career from the NOAA Corps, he is continuing his NOAA career, working for the National Marine Fisheries Service (NMFS). John's career with NOAA has led him around the country and indeed to the ends of the earth

  5. NOAA Photo Library - Meet the Photographers - Lt. Elizabeth Crapo

    Science.gov Websites

    Operations Public Affairs. She holds a BS in Atmospheric Science form the University of Arizona. She is an Publication of the National Oceanic & Atmospheric Administration (NOAA), NOAA Central Library NOAA Privacy

  6. 15 CFR 996.22 - Certification.

    Code of Federal Regulations, 2014 CFR

    2014-01-01

    ... REQUIREMENTS FOR NOAA HYDROGRAPHIC PRODUCTS AND SERVICES QUALITY ASSURANCE AND CERTIFICATION REQUIREMENTS FOR NOAA HYDROGRAPHIC PRODUCTS AND SERVICES Certification of a Hydrographic Product and Decertification... automatically be considered for certification by NOAA. NOAA shall make its certification determination, if its...

  7. 15 CFR 996.22 - Certification.

    Code of Federal Regulations, 2012 CFR

    2012-01-01

    ... REQUIREMENTS FOR NOAA HYDROGRAPHIC PRODUCTS AND SERVICES QUALITY ASSURANCE AND CERTIFICATION REQUIREMENTS FOR NOAA HYDROGRAPHIC PRODUCTS AND SERVICES Certification of a Hydrographic Product and Decertification... automatically be considered for certification by NOAA. NOAA shall make its certification determination, if its...

  8. 15 CFR 996.22 - Certification.

    Code of Federal Regulations, 2013 CFR

    2013-01-01

    ... REQUIREMENTS FOR NOAA HYDROGRAPHIC PRODUCTS AND SERVICES QUALITY ASSURANCE AND CERTIFICATION REQUIREMENTS FOR NOAA HYDROGRAPHIC PRODUCTS AND SERVICES Certification of a Hydrographic Product and Decertification... automatically be considered for certification by NOAA. NOAA shall make its certification determination, if its...

  9. 15 CFR 996.22 - Certification.

    Code of Federal Regulations, 2011 CFR

    2011-01-01

    ... REQUIREMENTS FOR NOAA HYDROGRAPHIC PRODUCTS AND SERVICES QUALITY ASSURANCE AND CERTIFICATION REQUIREMENTS FOR NOAA HYDROGRAPHIC PRODUCTS AND SERVICES Certification of a Hydrographic Product and Decertification... automatically be considered for certification by NOAA. NOAA shall make its certification determination, if its...

  10. The absolute radiometric calibration of the advanced very high resolution radiometer

    NASA Technical Reports Server (NTRS)

    Slater, P. N.; Teillet, P. M.; Ding, Y.

    1989-01-01

    The measurement conditions are described for an intensive field campaign at White Sands Missile Range for the calibration of the AVHRRs on NOAA-9, NOAA-10 and NOAA-11, LANDSAT-4 TM and SPOT. Three different methods for calibration of AVHRRs by reference to a ground surface site are reported, and results from these methods are compared. Significant degradations in NOAA-9 and NOAA-10 AVHRR responsivities occurred since prelaunch calibrations were completed. As of February 1988, degradations in NOAA-9 AVHRR responsivities were on the order of 37 percent in channel and 41 percent in channel 2, and for the NOAA-10 AVHRR these degradations were 42 and 59 percent in channels 1 and 2, respectively.

  11. 15 CFR 995.29 - Limitation on endorsements.

    Code of Federal Regulations, 2013 CFR

    2013-01-01

    ... REQUIREMENTS FOR NOAA HYDROGRAPHIC PRODUCTS AND SERVICES CERTIFICATION REQUIREMENTS FOR DISTRIBUTORS OF NOAA HYDROGRAPHIC PRODUCTS Requirements for Certified Distributors and Value Added Distributors of NOAA ENC Products § 995.29 Limitation on endorsements. By certifying compliance with this part, NOAA does not...

  12. 15 CFR 995.29 - Limitation on endorsements.

    Code of Federal Regulations, 2014 CFR

    2014-01-01

    ... REQUIREMENTS FOR NOAA HYDROGRAPHIC PRODUCTS AND SERVICES CERTIFICATION REQUIREMENTS FOR DISTRIBUTORS OF NOAA HYDROGRAPHIC PRODUCTS Requirements for Certified Distributors and Value Added Distributors of NOAA ENC Products § 995.29 Limitation on endorsements. By certifying compliance with this part, NOAA does not...

  13. 15 CFR 995.20 - General.

    Code of Federal Regulations, 2014 CFR

    2014-01-01

    ... REQUIREMENTS FOR NOAA HYDROGRAPHIC PRODUCTS AND SERVICES CERTIFICATION REQUIREMENTS FOR DISTRIBUTORS OF NOAA HYDROGRAPHIC PRODUCTS Requirements for Certified Distributors and Value Added Distributors of NOAA ENC Products § 995.20 General. The requirements for certification as a “Certified NOAA ENC Distributor” (CED) and...

  14. 15 CFR 995.20 - General.

    Code of Federal Regulations, 2012 CFR

    2012-01-01

    ... REQUIREMENTS FOR NOAA HYDROGRAPHIC PRODUCTS AND SERVICES CERTIFICATION REQUIREMENTS FOR DISTRIBUTORS OF NOAA HYDROGRAPHIC PRODUCTS Requirements for Certified Distributors and Value Added Distributors of NOAA ENC Products § 995.20 General. The requirements for certification as a “Certified NOAA ENC Distributor” (CED) and...

  15. 15 CFR 995.20 - General.

    Code of Federal Regulations, 2013 CFR

    2013-01-01

    ... REQUIREMENTS FOR NOAA HYDROGRAPHIC PRODUCTS AND SERVICES CERTIFICATION REQUIREMENTS FOR DISTRIBUTORS OF NOAA HYDROGRAPHIC PRODUCTS Requirements for Certified Distributors and Value Added Distributors of NOAA ENC Products § 995.20 General. The requirements for certification as a “Certified NOAA ENC Distributor” (CED) and...

  16. 15 CFR 995.29 - Limitation on endorsements.

    Code of Federal Regulations, 2011 CFR

    2011-01-01

    ... REQUIREMENTS FOR NOAA HYDROGRAPHIC PRODUCTS AND SERVICES CERTIFICATION REQUIREMENTS FOR DISTRIBUTORS OF NOAA HYDROGRAPHIC PRODUCTS Requirements for Certified Distributors and Value Added Distributors of NOAA ENC Products § 995.29 Limitation on endorsements. By certifying compliance with this part, NOAA does not...

  17. 15 CFR 995.20 - General.

    Code of Federal Regulations, 2011 CFR

    2011-01-01

    ... REQUIREMENTS FOR NOAA HYDROGRAPHIC PRODUCTS AND SERVICES CERTIFICATION REQUIREMENTS FOR DISTRIBUTORS OF NOAA HYDROGRAPHIC PRODUCTS Requirements for Certified Distributors and Value Added Distributors of NOAA ENC Products § 995.20 General. The requirements for certification as a “Certified NOAA ENC Distributor” (CED) and...

  18. 15 CFR 995.29 - Limitation on endorsements.

    Code of Federal Regulations, 2012 CFR

    2012-01-01

    ... REQUIREMENTS FOR NOAA HYDROGRAPHIC PRODUCTS AND SERVICES CERTIFICATION REQUIREMENTS FOR DISTRIBUTORS OF NOAA HYDROGRAPHIC PRODUCTS Requirements for Certified Distributors and Value Added Distributors of NOAA ENC Products § 995.29 Limitation on endorsements. By certifying compliance with this part, NOAA does not...

  19. 15 CFR 995.29 - Limitation on endorsements.

    Code of Federal Regulations, 2010 CFR

    2010-01-01

    ... REQUIREMENTS FOR NOAA HYDROGRAPHIC PRODUCTS AND SERVICES CERTIFICATION REQUIREMENTS FOR DISTRIBUTORS OF NOAA HYDROGRAPHIC PRODUCTS Requirements for Certified Distributors and Value Added Distributors of NOAA ENC Products § 995.29 Limitation on endorsements. By certifying compliance with this part, NOAA does not...

  20. 15 CFR 995.20 - General.

    Code of Federal Regulations, 2010 CFR

    2010-01-01

    ... REQUIREMENTS FOR NOAA HYDROGRAPHIC PRODUCTS AND SERVICES CERTIFICATION REQUIREMENTS FOR DISTRIBUTORS OF NOAA HYDROGRAPHIC PRODUCTS Requirements for Certified Distributors and Value Added Distributors of NOAA ENC Products § 995.20 General. The requirements for certification as a “Certified NOAA ENC Distributor” (CED) and...

  1. Media Teleconference: NOAA climate forecaster to discuss status of El Niño

    Science.gov Websites

    Media Contact NOAA HQ John Ewald 240-429-6127 NOAA NCEI Katy Matthews 828-257-3136 NASA GISS Michael Cabbage/ Leslie McCarthy 212-678-5516 / 5507 NASA HQ Steve Cole 202-358-0918 Wednesday: NOAA, NASA to experts from NOAA and NASA will announce new data on 2015 global temperatures during a media

  2. Healthcare utilization and costs in adults with stable and uncontrolled epilepsy.

    PubMed

    Cramer, Joyce A; Wang, Zhixiao J; Chang, Eunice; Powers, Annette; Copher, Ronda; Cherepanov, Dasha; Broder, Michael S

    2014-02-01

    Despite the availability of numerous antiepileptic drugs (AEDs), some epilepsies remain resistant to treatment. We compared utilization and costs in patients with uncontrolled epilepsy to those with stable epilepsy. Claims data (2007-2009) were used to identify adults with epilepsy requiring additional AED therapy (having uncontrolled epilepsy) and those not requiring additional AED therapy (having stable epilepsy). The date in 2008 on which an additional AED was started was the index date for patients with uncontrolled epilepsy, and a randomly selected date was used for patients with stable epilepsy, whose AED use was unchanged in the preceding year. In the postindex year, all pharmacy and medical claims were used to estimate overall utilization and costs; claims with epilepsy in any diagnosis field were used to estimate epilepsy-related outcomes. Outcomes were adjusted using multivariate analyses. We identified 1536 patients with uncontrolled epilepsy and 8571 patients with stable epilepsy (mean age: 42.8years; female: 48%). Patients with uncontrolled epilepsy had higher comorbidity rates (p<.02). A greater proportion of patients with uncontrolled epilepsy had ≥1 hospitalization or emergency department visit (p<.001). Patients with uncontrolled epilepsy had a greater mean length of hospital stay and more physician office visits (p<.034). After adjustment, the odds of hospitalization (OR: 1.8, any diagnosis; 2.2, epilepsy-related) and emergency department visit (OR: 1.6, any diagnosis; 1.9, epilepsy-related) were greater for patients with uncontrolled epilepsy. Annual overall ($23,238 vs. $13,839) and epilepsy-related ($12,399 vs. $5511) costs were higher in patients with uncontrolled epilepsy and remained higher after adjustment (p<.001). Patients with uncontrolled epilepsy use more services and incur higher costs compared with those with stable epilepsy. Epilepsy-related costs accounted for <50% of the total costs, suggesting that comorbid conditions and/or underidentification of utilization may substantially contribute to costs. © 2013.

  3. NOAA - National Oceanic and Atmospheric Administration - Media Resources

    Science.gov Websites

    the footage you're looking for in the shot sheets provided below or complete B-Roll list, please send an e-mail to the NOAA Video Studio at broll@noaa.gov. NOAA B-Roll Shot Sheets (Text & PDF

  4. NOAA Photo Library - Flying with NOAA Collection

    Science.gov Websites

    of projects far at sea. Experience the alien world of Arctic ice with NOAA scientists as NOAA helicopters transport them far out on the ice packs of the Bering Sea and Beaufort Sea. Join us and take a

  5. NOAA: Primary GOES-R instrument cleared for installation onto spacecraft

    Science.gov Websites

    : NOAA-NASA GOES-R Program Office) In early 2014 the ABI will be shipped from its developer, Exelis, in performance of power grids. NOAA manages the GOES-R Series program through an integrated NOAA-NASA office

  6. 46 CFR 32.63-5 - Barge hull classifications-B/ALL.

    Code of Federal Regulations, 2014 CFR

    2014-10-01

    ... the uncontrolled release of the cargo to the waterways and/or atmosphere. (2) Type II barge hull... measures to preclude uncontrolled release to the atmosphere, but whose uncontrolled release to the...

  7. 46 CFR 32.63-5 - Barge hull classifications-B/ALL.

    Code of Federal Regulations, 2013 CFR

    2013-10-01

    ... the uncontrolled release of the cargo to the waterways and/or atmosphere. (2) Type II barge hull... measures to preclude uncontrolled release to the atmosphere, but whose uncontrolled release to the...

  8. Direct costs of asthma in Brazil: a comparison between controlled and uncontrolled asthmatic patients.

    PubMed

    Santos, L A; Oliveira, M A; Faresin, S M; Santoro, I L; Fernandes, A L G

    2007-07-01

    Asthma is a common chronic illness that imposes a heavy burden on all aspects of the patient's life, including personal and health care cost expenditures. To analyze the direct cost associated to uncontrolled asthma patients, a cross-sectional study was conducted to determine costs related to patients with uncontrolled and controlled asthma. Uncontrolled patient was defined by daytime symptoms more than twice a week or nocturnal symptoms during two consecutive nights or any limitations of activities, or need for relief rescue medication more than twice a week, and an ACQ score less than 2 points. A questionnaire about direct cost stratification in health services, including emergency room visits, hospitalization, ambulatory visits, and asthma medications prescribed, was applied. Ninety asthma patients were enrolled (45 uncontrolled/45 controlled). Uncontrolled asthmatics accounted for higher health care expenditures than controlled patients, US$125.45 and US$15.58, respectively [emergency room visits (US$39.15 vs US$2.70) and hospitalization (US$86.30 vs US$12.88)], per patient over 6 months. The costs with medications in the last month for patients with mild, moderate and severe asthma were US$1.60, 9.60, and 25.00 in the uncontrolled patients, respectively, and US$6.50, 19.00 and 49.00 in the controlled patients. In view of the small proportion of uncontrolled subjects receiving regular maintenance medication (22.2%) and their lack of resources, providing free medication for uncontrolled patients might be a cost-effective strategy for the public health system.

  9. KSC-2009-1371

    NASA Image and Video Library

    2008-11-05

    VANDENBERG AIR FORCE BASE, Calif. – Inside the payload processing facility at Vandenberg Air Force Base in California, the shipping container for NOAA-N Prime is lifted. NOAA-N Prime is the latest polar-orbiting operational environmental weather satellite developed by NASA for the National Oceanic and Atmospheric Administration. NOAA-N Prime is built by Lockheed Martin and similar to NOAA-N launched on May 20, 2005. Launch of NOAA-N Prime is scheduled for Feb. 4. Photo credit: NASA

  10. 15 CFR 995.15 - Termination of certification.

    Code of Federal Regulations, 2011 CFR

    2011-01-01

    ... REQUIREMENTS FOR NOAA HYDROGRAPHIC PRODUCTS AND SERVICES CERTIFICATION REQUIREMENTS FOR DISTRIBUTORS OF NOAA... NOAA determines that a CED or CEVAD is not meeting the requirements described in this part, the Office of Coast Survey, NOAA (OCS) will provide initial written notification of potential termination to the...

  11. 15 CFR 995.15 - Termination of certification.

    Code of Federal Regulations, 2014 CFR

    2014-01-01

    ... REQUIREMENTS FOR NOAA HYDROGRAPHIC PRODUCTS AND SERVICES CERTIFICATION REQUIREMENTS FOR DISTRIBUTORS OF NOAA... NOAA determines that a CED or CEVAD is not meeting the requirements described in this part, the Office of Coast Survey, NOAA (OCS) will provide initial written notification of potential termination to the...

  12. 15 CFR 995.15 - Termination of certification.

    Code of Federal Regulations, 2013 CFR

    2013-01-01

    ... REQUIREMENTS FOR NOAA HYDROGRAPHIC PRODUCTS AND SERVICES CERTIFICATION REQUIREMENTS FOR DISTRIBUTORS OF NOAA... NOAA determines that a CED or CEVAD is not meeting the requirements described in this part, the Office of Coast Survey, NOAA (OCS) will provide initial written notification of potential termination to the...

  13. 15 CFR 995.15 - Termination of certification.

    Code of Federal Regulations, 2012 CFR

    2012-01-01

    ... REQUIREMENTS FOR NOAA HYDROGRAPHIC PRODUCTS AND SERVICES CERTIFICATION REQUIREMENTS FOR DISTRIBUTORS OF NOAA... NOAA determines that a CED or CEVAD is not meeting the requirements described in this part, the Office of Coast Survey, NOAA (OCS) will provide initial written notification of potential termination to the...

  14. NOAA Administrative Order 216-115: Strengthening NOAA's Research and

    Science.gov Websites

    Development Enterprise NOAA HOME WEATHER OCEANS FISHERIES CHARTING SATELLITES CLIMATE RESEARCH of Authority NAO 216-115: Strengthening NOAA's Research and Development Enterprise Attachments View principles, policies, and responsibilities for planning, monitoring, evaluating, and reporting research and

  15. 15 CFR 995.15 - Termination of certification.

    Code of Federal Regulations, 2010 CFR

    2010-01-01

    ... REQUIREMENTS FOR NOAA HYDROGRAPHIC PRODUCTS AND SERVICES CERTIFICATION REQUIREMENTS FOR DISTRIBUTORS OF NOAA... NOAA determines that a CED or CEVAD is not meeting the requirements described in this part, the Office of Coast Survey, NOAA (OCS) will provide initial written notification of potential termination to the...

  16. Tropical Cyclone Intensity Estimation Using Deep Convolutional Neural Networks

    NASA Technical Reports Server (NTRS)

    Maskey, Manil; Cecil, Dan; Ramachandran, Rahul; Miller, Jeffrey J.

    2018-01-01

    Estimating tropical cyclone intensity by just using satellite image is a challenging problem. With successful application of the Dvorak technique for more than 30 years along with some modifications and improvements, it is still used worldwide for tropical cyclone intensity estimation. A number of semi-automated techniques have been derived using the original Dvorak technique. However, these techniques suffer from subjective bias as evident from the most recent estimations on October 10, 2017 at 1500 UTC for Tropical Storm Ophelia: The Dvorak intensity estimates ranged from T2.3/33 kt (Tropical Cyclone Number 2.3/33 knots) from UW-CIMSS (University of Wisconsin-Madison - Cooperative Institute for Meteorological Satellite Studies) to T3.0/45 kt from TAFB (the National Hurricane Center's Tropical Analysis and Forecast Branch) to T4.0/65 kt from SAB (NOAA/NESDIS Satellite Analysis Branch). In this particular case, two human experts at TAFB and SAB differed by 20 knots in their Dvorak analyses, and the automated version at the University of Wisconsin was 12 knots lower than either of them. The National Hurricane Center (NHC) estimates about 10-20 percent uncertainty in its post analysis when only satellite based estimates are available. The success of the Dvorak technique proves that spatial patterns in infrared (IR) imagery strongly relate to tropical cyclone intensity. This study aims to utilize deep learning, the current state of the art in pattern recognition and image recognition, to address the need for an automated and objective tropical cyclone intensity estimation. Deep learning is a multi-layer neural network consisting of several layers of simple computational units. It learns discriminative features without relying on a human expert to identify which features are important. Our study mainly focuses on convolutional neural network (CNN), a deep learning algorithm, to develop an objective tropical cyclone intensity estimation. CNN is a supervised learning algorithm requiring a large number of training data. Since the archives of intensity data and tropical cyclone centric satellite images is openly available for use, the training data is easily created by combining the two. Results, case studies, prototypes, and advantages of this approach will be discussed.

  17. The GOES-R/JPSS Approach for Identifying Hazardous Low Clouds: Overview and Operational Impacts

    NASA Astrophysics Data System (ADS)

    Calvert, Corey; Pavolonis, Michael; Lindstrom, Scott; Gravelle, Chad; Terborg, Amanda

    2017-04-01

    Low ceiling and visibility is a weather hazard that nearly every forecaster, in nearly every National Weather Service (NWS) Weather Forecast Office (WFO), must regularly address. In addition, national forecast centers such as the Aviation Weather Center (AWC), Alaska Aviation Weather Unit (AAWU) and the Ocean Prediction Center (OPC) are responsible for issuing low ceiling and visibility related products. As such, reliable methods for detecting and characterizing hazardous low clouds are needed. Traditionally, hazardous areas of Fog/Low Stratus (FLS) are identified using a simple stand-alone satellite product that is constructed by subtracting the 3.9 and 11 μm brightness temperatures. However, the 3.9-11 μm brightness temperature difference (BTD) has several major limitations. In an effort to address the limitations of the BTD product, the GOES-R Algorithm Working Group (AWG) developed an approach that fuses satellite, Numerical Weather Prediction (NWP) model, Sea Surface Temperature (SST) analyses, and other data sets (e.g. digital surface elevation maps, surface emissivity maps, and surface type maps) to determine the probability that hazardous low clouds are present using a naïve Bayesian classifier. In addition, recent research has focused on blending geostationary (e.g. GOES-R) and low earth orbit (e.g. JPSS) satellite data to further improve the products. The FLS algorithm has adopted an enterprise approach in that it can utilize satellite data from a variety of current and future operational sensors and NWP data from a variety of models. The FLS products are available in AWIPS/N-AWIPS/AWIPS-II and have been evaluated within NWS operations over the last four years as part of the Satellite Proving Ground. Forecaster feedback has been predominantly positive and references to these products within Area Forecast Discussions (AFD's) indicate that the products are influencing operational forecasts. At the request of the NWS, the FLS products are currently being transitioned to NOAA/NESDIS operations, which will ensure that users have long-term access to these products. This paper will provide an overview of the FLS products and illustrate how they are being used to improve transportation safety and efficiency.

  18. The COMET° Program: Empowering Faculty via Environmental Science Education Resources and Training Opportunities

    NASA Astrophysics Data System (ADS)

    Abshire, W. E.; Spangler, T. C.; Page, E. M.

    2011-12-01

    For 20+ years, the COMET Program has provided education to a wide spectrum of users in the atmospheric and related sciences, including faculty and students. COMET's training covers many areas including: climate science; tropical meteorology; marine, coastal, aviation and fire weather; satellite and mesoscale meteorology; numerical weather prediction; hydrometeorology; observational systems; and emergency management and societal impacts. The majority of the training is delivered as self-paced web modules. The entry point to 600+ hours of material is COMET's http://meted.ucar.edu website. This site hosts >400 training modules. Included in these courses are ~100 lessons which have been translated into primarily Spanish and French. Simple, free registration is required. As of summer 2011, there were 200,000 registered users of the site from 200 countries who are taking advantage of this free education and training. Over 9000 of the users are faculty and another 38,000+ are college students. Besides using and re-purposing the high quality multimedia training, faculty often choose to use the registration and assessment system that allows users to take quizzes with each lesson to receive a certificate of completion. With the student's permission, then results can also be e-mailed to an instructor. Another relevant initiative is the creation of a free online, peer reviewed Textbook, "Introduction to Tropical Meteorology" (http://www.meted.ucar.edu/tropical/textbook/). This multimedia textbook is intended for undergraduate and early graduate students, forecasters, and others interested in the impacts of tropical weather and climate. Lastly, with funding from the NOAA/NESDIS/GOES-R Program, COMET recently offered a course for faculty entitled, "Integrating Satellite Data and Products into Geoscience Courses with Emphasis on Advances in Geostationary Satellite Systems." Twenty-four faculty from across the US and the Caribbean participated. Via lectures, lab exercises, and student projects attendees are now prepared to teach future meteorologists about current advanced capabilities as well as next generation data and products. Since many attendees also teach survey courses, they are now prepared to impart this knowledge to many non-science majors (including future K-12 teachers).

  19. Producing remote sensing-based emission estimates of prescribed burning in the contiguous United States for the U.S. Environmental Protection Agency 2011 National Emissions Inventory

    NASA Astrophysics Data System (ADS)

    McCarty, J. L.; Pouliot, G. A.; Soja, A. J.; Miller, M. E.; Rao, T.

    2013-12-01

    Prescribed fires in agricultural landscapes generally produce smaller burned areas than wildland fires but are important contributors to emissions impacting air quality and human health. Currently, there are a variety of available satellite-based estimates of crop residue burning, including the NOAA/NESDIS Hazard Mapping System (HMS) the Satellite Mapping Automated Reanalysis Tool for Fire Incident Reconciliation (SMARTFIRE 2), the Moderate Resolution Imaging Spectroradiometer (MODIS) Official Burned Area Product (MCD45A1)), the MODIS Direct Broadcast Burned Area Product (MCD64A1) the MODIS Active Fire Product (MCD14ML), and a regionally-tuned 8-day cropland differenced Normalized Burn Ratio product for the contiguous U.S. The purpose of this NASA-funded research was to refine the regionally-tuned product utilizing higher spatial resolution crop type data from the USDA NASS Cropland Data Layer and burned area training data from field work and high resolution commercial satellite data to improve the U.S. Environmental Protection Agency's (EPA) National Emissions Inventory (NEI). The final product delivered to the EPA included a detailed database of 25 different atmospheric emissions at the county level, emission distributions by crop type and seasonality, and GIS data. The resulting emission databases were shared with the U.S. EPA and regional offices, the National Wildfire Coordinating Group (NWGC) Smoke Committee, and all 48 states in the contiguous U.S., with detailed error estimations for Wyoming and Indiana and detailed analyses of results for Florida, Minnesota, North Dakota, Oklahoma, and Oregon. This work also provided opportunities in discovering the different needs of federal and state partners, including the various geospatial abilities and platforms across the many users and how to incorporate expert air quality, policy, and land management knowledge into quantitative earth observation-based estimations of prescribed fire emissions. Finally, this work created direct communication paths between federal and state partners to the scientists creating the remote sensing-based products, further improving the geospatial products and understanding of air quality impacts of prescribed burning at the state, regional, and national scales.

  20. Improving Cloud Detection in Satellite Images of Coral Reef Environments Using Space Shuttle Photographs and High-Definition Television

    NASA Technical Reports Server (NTRS)

    Andrefeouet, Serge; Robinson, Julie

    2000-01-01

    Coral reefs worldwide are suffering from severe and rapid degradation (Bryant et A, 1998; Hoegh-Guldberg, 1999). Quick, consistent, large-scale assessment is required to assess and monitor their status (e.g., USDOC/NOAA NESDIS et al., 1999). On-going systematic collection of high resolution digital satellite data will exhaustively complement the relatively small number of SPOT, Landsat 4-5, and IRS scenes acquired for coral reefs the last 20 years. The workhorse for current image acquisition is the Landsat 7 ETM+ Long Term Acquisition Plan (Gasch et al. 2000). Coral reefs are encountered in tropical areas and cloud contamination in satellite images is frequently a problem (Benner and Curry 1998), despite new automated techniques of cloud cover avoidance (Gasch and Campana 2000). Fusion of multidate acquisitions is a classical solution to solve the cloud problems. Though elegant, this solution is costly since multiple images must be purchased for one location; the cost may be prohibitive for institutions in developing countries. There are other difficulties associated with fusing multidate images as well. For example, water quality or surface state can significantly change through time in coral reef areas making the bathymetric processing of a mosaiced image strenuous. Therefore, another strategy must be selected to detect clouds and improve coral reefs mapping. Other supplemental data could be helpful and cost-effective for distinguishing clouds and generating the best possible reef maps in the shortest amount of time. Photographs taken from the 1960s to the present from the Space Shuttle and other human-occupied spacecraft are one under-used source of alternative multitemporal data (Lulla et al. 1996). Nearly 400,000 photographs have been acquired during this period, an estimated 28,000 of these taken to date are of potential value for reef remote sensing (Robinson et al. 2000a). The photographic images can be digitized into three bands (red, green and blue) and processed for various applications (e.g., Benner and Curry 1998, Nedeltchev 1999, Glasser and Lulla 2000, Robinson et al. 2000c, Webb et al, in press).

  1. NOAA Office of Exploration and Research > Education > Evaluation

    Science.gov Websites

    INFORMATION ON THE NOAA OFFICE OF OCEAN EXPLORATION AND RESEARCH, VISIT: OCEANEXPLORER.NOAA.GOV weather oceans fisheries charting satellites climate research coasts careers@noaa OER Banner Home About OER Overview of partnering institutions or Alliances Partners. Surveys containing quantitative and qualitative

  2. 15 CFR 995.21 - Registry of data users.

    Code of Federal Regulations, 2012 CFR

    2012-01-01

    ... REQUIREMENTS FOR NOAA HYDROGRAPHIC PRODUCTS AND SERVICES CERTIFICATION REQUIREMENTS FOR DISTRIBUTORS OF NOAA HYDROGRAPHIC PRODUCTS Requirements for Certified Distributors and Value Added Distributors of NOAA ENC Products § 995.21 Registry of data users. (a) CED or CEVAD shall maintain a registry of customers receiving NOAA...

  3. 15 CFR 995.21 - Registry of data users.

    Code of Federal Regulations, 2014 CFR

    2014-01-01

    ... REQUIREMENTS FOR NOAA HYDROGRAPHIC PRODUCTS AND SERVICES CERTIFICATION REQUIREMENTS FOR DISTRIBUTORS OF NOAA HYDROGRAPHIC PRODUCTS Requirements for Certified Distributors and Value Added Distributors of NOAA ENC Products § 995.21 Registry of data users. (a) CED or CEVAD shall maintain a registry of customers receiving NOAA...

  4. 15 CFR 995.21 - Registry of data users.

    Code of Federal Regulations, 2013 CFR

    2013-01-01

    ... REQUIREMENTS FOR NOAA HYDROGRAPHIC PRODUCTS AND SERVICES CERTIFICATION REQUIREMENTS FOR DISTRIBUTORS OF NOAA HYDROGRAPHIC PRODUCTS Requirements for Certified Distributors and Value Added Distributors of NOAA ENC Products § 995.21 Registry of data users. (a) CED or CEVAD shall maintain a registry of customers receiving NOAA...

  5. NOAA Workforce Management Office - About Us

    Science.gov Websites

    * WorkLife Center * WebTA * New Employee Info * Separation Info Workforce Management Office (WFMO) Serving accomplishment of the NOAA mission and the Nation's interests. The NOAA Workforce Management Office (WFMO Agency's mission. The WFMO provides NOAA-wide leadership to workforce management functions including

  6. NOAA Safety and Environmental Compliance Office (NESSO)

    Science.gov Websites

    Intranet NOAA Environmental, Safety, and Sustainability Office NOAA's Environmental, Safety, and Atmospheric Administration's (NOAA) policy and provides guidance, and oversight in the areas of Safety and with regulatory, internal, and other requirements and to drive toward continuous improvement in Safety

  7. NOAA Photo Library - Credits

    Science.gov Websites

    NOAA Photo Library Banner Takes you to the Top Page Takes you to the About this Site page. Takes . Skip Theberge (NOAA Central Library) -- Collection development, site content, image digitization, and database construction. Kristin Ward (NOAA Central Library) -- HTML page construction Without the generosity

  8. 76 FR 41453 - Supplemental Environmental Impact Statement for Replacement of NOAA National Marine Fisheries...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2011-07-14

    ...] Supplemental Environmental Impact Statement for Replacement of NOAA National Marine Fisheries Service Southwest... and Atmospheric Administration (NOAA), Commerce. ACTION: Notice of intent to prepare a Supplemental Environmental Impact Statement (SEIS); request for comments. SUMMARY: NOAA announces its intention to prepare an...

  9. Annual Typhoon Report 1979.

    DTIC Science & Technology

    1979-01-01

    clouds and latent and sensible heat A case study, based on an active transfer from the ocean. Preliminary tests tropical cyclone period, is being...GABLES, FL 44) CINCPACFLT (5) NOAA/EDS WASHINGTON, DC (2) CIUDAD UNIV, MEXICO (1) NOAA/ERL BOULDER, CO (1) CIVIL DEFENSE, GUAM (4) NOAA/ERL MIAMI (2

  10. KSC-2009-1374

    NASA Image and Video Library

    2008-11-06

    VANDENBERG AIR FORCE BASE, Calif. – Inside the payload processing facility at Vandenberg Air Force Base in California, the NOAA-N Prime satellite has been rotated to a vertical position. NOAA-N Prime is the latest polar-orbiting operational environmental weather satellite developed by NASA for the National Oceanic and Atmospheric Administration. NOAA-N Prime is built by Lockheed Martin and similar to NOAA-N launched on May 20, 2005. Launch of NOAA-N Prime is scheduled for Feb. 4. Photo credit: NASA

  11. KSC-2009-1373

    NASA Image and Video Library

    2008-11-06

    VANDENBERG AIR FORCE BASE, Calif. – Inside the payload processing facility at Vandenberg Air Force Base in California, the NOAA-N Prime satellite is rotated toward a vertical position. NOAA-N Prime is the latest polar-orbiting operational environmental weather satellite developed by NASA for the National Oceanic and Atmospheric Administration. NOAA-N Prime is built by Lockheed Martin and similar to NOAA-N launched on May 20, 2005. Launch of NOAA-N Prime is scheduled for Feb. 4. Photo credit: NASA

  12. 33 CFR 209.310 - Representation of submarine cables and pipelines on nautical charts.

    Code of Federal Regulations, 2013 CFR

    2013-07-01

    ... submarine cable and pipelines to the National Oceanic and Atmospheric Administration (NOAA), National Ocean... installation should be shown on NOAA nautical charts. National Ocean Service must be notified of the... these cables and pipelines on NOAA nautical charts lie solely within NOAA's discretion.) [51 FR 45765...

  13. 15 CFR 995.11 - Government review and approval.

    Code of Federal Regulations, 2014 CFR

    2014-01-01

    ... REQUIREMENTS FOR NOAA HYDROGRAPHIC PRODUCTS AND SERVICES CERTIFICATION REQUIREMENTS FOR DISTRIBUTORS OF NOAA... will be reviewed by NOAA within 90 days of receipt. If all requirements, as defined by this part, are adequately addressed, certification will be granted. If for any reason NOAA will be unable to process the...

  14. 15 CFR 996.30 - Use of the NOAA emblem.

    Code of Federal Regulations, 2011 CFR

    2011-01-01

    ... 15 Commerce and Foreign Trade 3 2011-01-01 2011-01-01 false Use of the NOAA emblem. 996.30 Section... REQUIREMENTS FOR NOAA HYDROGRAPHIC PRODUCTS AND SERVICES QUALITY ASSURANCE AND CERTIFICATION REQUIREMENTS FOR NOAA HYDROGRAPHIC PRODUCTS AND SERVICES Other Quality Assurance Program Matters § 996.30 Use of the...

  15. 33 CFR 209.310 - Representation of submarine cables and pipelines on nautical charts.

    Code of Federal Regulations, 2011 CFR

    2011-07-01

    ... submarine cable and pipelines to the National Oceanic and Atmospheric Administration (NOAA), National Ocean... installation should be shown on NOAA nautical charts. National Ocean Service must be notified of the... these cables and pipelines on NOAA nautical charts lie solely within NOAA's discretion.) [51 FR 45765...

  16. 15 CFR 996.30 - Use of the NOAA emblem.

    Code of Federal Regulations, 2013 CFR

    2013-01-01

    ... 15 Commerce and Foreign Trade 3 2013-01-01 2013-01-01 false Use of the NOAA emblem. 996.30 Section... REQUIREMENTS FOR NOAA HYDROGRAPHIC PRODUCTS AND SERVICES QUALITY ASSURANCE AND CERTIFICATION REQUIREMENTS FOR NOAA HYDROGRAPHIC PRODUCTS AND SERVICES Other Quality Assurance Program Matters § 996.30 Use of the...

  17. 15 CFR 996.30 - Use of the NOAA emblem.

    Code of Federal Regulations, 2014 CFR

    2014-01-01

    ... 15 Commerce and Foreign Trade 3 2014-01-01 2014-01-01 false Use of the NOAA emblem. 996.30 Section... REQUIREMENTS FOR NOAA HYDROGRAPHIC PRODUCTS AND SERVICES QUALITY ASSURANCE AND CERTIFICATION REQUIREMENTS FOR NOAA HYDROGRAPHIC PRODUCTS AND SERVICES Other Quality Assurance Program Matters § 996.30 Use of the...

  18. 15 CFR 995.26 - Conversion of NOAA ENC ® files to other formats.

    Code of Federal Regulations, 2013 CFR

    2013-01-01

    ... 15 Commerce and Foreign Trade 3 2013-01-01 2013-01-01 false Conversion of NOAA ENC ® files to... ASSURANCE AND CERTIFICATION REQUIREMENTS FOR NOAA HYDROGRAPHIC PRODUCTS AND SERVICES CERTIFICATION REQUIREMENTS FOR DISTRIBUTORS OF NOAA HYDROGRAPHIC PRODUCTS Requirements for Certified Distributors and Value...

  19. 15 CFR 995.26 - Conversion of NOAA ENC ® files to other formats.

    Code of Federal Regulations, 2012 CFR

    2012-01-01

    ... 15 Commerce and Foreign Trade 3 2012-01-01 2012-01-01 false Conversion of NOAA ENC ® files to... ASSURANCE AND CERTIFICATION REQUIREMENTS FOR NOAA HYDROGRAPHIC PRODUCTS AND SERVICES CERTIFICATION REQUIREMENTS FOR DISTRIBUTORS OF NOAA HYDROGRAPHIC PRODUCTS Requirements for Certified Distributors and Value...

  20. 15 CFR 996.30 - Use of the NOAA emblem.

    Code of Federal Regulations, 2012 CFR

    2012-01-01

    ... 15 Commerce and Foreign Trade 3 2012-01-01 2012-01-01 false Use of the NOAA emblem. 996.30 Section... REQUIREMENTS FOR NOAA HYDROGRAPHIC PRODUCTS AND SERVICES QUALITY ASSURANCE AND CERTIFICATION REQUIREMENTS FOR NOAA HYDROGRAPHIC PRODUCTS AND SERVICES Other Quality Assurance Program Matters § 996.30 Use of the...

  1. 15 CFR 995.26 - Conversion of NOAA ENC ® files to other formats.

    Code of Federal Regulations, 2014 CFR

    2014-01-01

    ... 15 Commerce and Foreign Trade 3 2014-01-01 2014-01-01 false Conversion of NOAA ENC ® files to... ASSURANCE AND CERTIFICATION REQUIREMENTS FOR NOAA HYDROGRAPHIC PRODUCTS AND SERVICES CERTIFICATION REQUIREMENTS FOR DISTRIBUTORS OF NOAA HYDROGRAPHIC PRODUCTS Requirements for Certified Distributors and Value...

  2. 33 CFR 209.310 - Representation of submarine cables and pipelines on nautical charts.

    Code of Federal Regulations, 2014 CFR

    2014-07-01

    ... submarine cable and pipelines to the National Oceanic and Atmospheric Administration (NOAA), National Ocean... installation should be shown on NOAA nautical charts. National Ocean Service must be notified of the... these cables and pipelines on NOAA nautical charts lie solely within NOAA's discretion.) [51 FR 45765...

  3. 33 CFR 209.310 - Representation of submarine cables and pipelines on nautical charts.

    Code of Federal Regulations, 2012 CFR

    2012-07-01

    ... submarine cable and pipelines to the National Oceanic and Atmospheric Administration (NOAA), National Ocean... installation should be shown on NOAA nautical charts. National Ocean Service must be notified of the... these cables and pipelines on NOAA nautical charts lie solely within NOAA's discretion.) [51 FR 45765...

  4. NOAA Civil Rights Office - EEO Office

    Science.gov Websites

    Oceanic and Atmospheric Administration Office of the Chief Administration Officer Civil Rights Office (CRO Diversity and Inclusion Management Advisory Council (DIMAC) Diversity and Inclusion Toolkit The NOAA Civil Rights Office Welcome to the NOAA Civil Rights Office The NOAA Civil Rights Office provides overall

  5. NOAA Education Partnerships 2013 Portfolio Review. Final Report

    ERIC Educational Resources Information Center

    Payne, Diana L.; Baek, John Y.

    2014-01-01

    This Partnerships Working Group (PWG) study responds to recommendations from the National Research Council's (NRC) NOAA's Education Program: Review and Critique (2010) for NOAA to better understand how NOAA Education partnerships are formed, fostered, sustained, and evaluated. The NRC report noted that while partnerships were mentioned as a means…

  6. 15 CFR 995.26 - Conversion of NOAA ENC ® files to other formats.

    Code of Federal Regulations, 2010 CFR

    2010-01-01

    ... 15 Commerce and Foreign Trade 3 2010-01-01 2010-01-01 false Conversion of NOAA ENC ® files to... ASSURANCE AND CERTIFICATION REQUIREMENTS FOR NOAA HYDROGRAPHIC PRODUCTS AND SERVICES CERTIFICATION REQUIREMENTS FOR DISTRIBUTORS OF NOAA HYDROGRAPHIC PRODUCTS Requirements for Certified Distributors and Value...

  7. 33 CFR 209.310 - Representation of submarine cables and pipelines on nautical charts.

    Code of Federal Regulations, 2010 CFR

    2010-07-01

    ... submarine cable and pipelines to the National Oceanic and Atmospheric Administration (NOAA), National Ocean... installation should be shown on NOAA nautical charts. National Ocean Service must be notified of the... these cables and pipelines on NOAA nautical charts lie solely within NOAA's discretion.) [51 FR 45765...

  8. 75 FR 59686 - Proposed Information Collection; Comment Request; NOAA Space-Based Data Collection System (DCS...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2010-09-28

    ... Collection; Comment Request; NOAA Space- Based Data Collection System (DCS) Agreements AGENCY: National Oceanic and Atmospheric Administration (NOAA). ACTION: Notice. SUMMARY: The Department of Commerce, as... to Kay Metcalf, 301-817-4558 or [email protected]noaa.gov . SUPPLEMENTARY INFORMATION: I. Abstract This...

  9. Modeling posttraumatic growth among cancer patients: The roles of social support, appraisals, and adaptive coping.

    PubMed

    Cao, Weidan; Qi, Xiaona; Cai, Deborah A; Han, Xuanye

    2018-01-01

    The purpose of the study was to build a model to explain the relationships between social support, uncontrollability appraisal, adaptive coping, and posttraumatic growth (PTG) among cancer patients in China. The participants who were cancer patients in a cancer hospital in China filled out a survey. The final sample size was 201. Structural equation modeling was used to build a model explaining PTG. Structural equation modeling results indicated that higher levels of social support predicted higher levels of adaptive coping, higher levels of uncontrollability appraisal predicted lower levels of adaptive coping, and higher levels of adaptive coping predicted higher levels of PTG. Moreover, adaptive coping was a mediator between social support and growth, as well as a mediator between uncontrollability and growth. The direct effects of social support and uncontrollability on PTG were insignificant. The model demonstrated the relationships between social support, uncontrollability appraisal, adaptive coping, and PTG. It could be concluded that uncontrollability appraisal was a required but not sufficient condition for PTG. Neither social support nor uncontrollability appraisal had direct influence on PTG. However, social support and uncontrollability might indirectly influence PTG, through adaptive coping. It implies that both internal factors (eg, cognitive appraisal and coping) and external factors (eg, social support) are required in order for growth to happen. Copyright © 2017 John Wiley & Sons, Ltd.

  10. 15 CFR 995.26 - Conversion of NOAA ENC ® files to other formats.

    Code of Federal Regulations, 2011 CFR

    2011-01-01

    ...) Conversion of NOAA ENC files to other formats—(1) Content. CEVAD may provide NOAA ENC data in forms other... data files without degradation to positional accuracy or informational content. (2) Software certification. Conversion of NOAA ENC data to other formats must be accomplished within the constraints of IHO...

  11. 15 CFR 904.502 - Bonded release of seized property.

    Code of Federal Regulations, 2011 CFR

    2011-01-01

    ... by applicable statute, at any time after seizure of any property, NOAA may, in its sole discretion, release any seized property upon deposit with NOAA of the full value of the property or such lesser amount as NOAA deems sufficient to protect the interests served by the applicable statute. In addition, NOAA...

  12. 15 CFR 904.502 - Bonded release of seized property.

    Code of Federal Regulations, 2014 CFR

    2014-01-01

    ... by applicable statute, at any time after seizure of any property, NOAA may, in its sole discretion, release any seized property upon deposit with NOAA of the full value of the property or such lesser amount as NOAA deems sufficient to protect the interests served by the applicable statute. In addition, NOAA...

  13. 15 CFR 971.802 - Public disclosure of documents received by NOAA.

    Code of Federal Regulations, 2013 CFR

    2013-01-01

    ... received by NOAA. 971.802 Section 971.802 Commerce and Foreign Trade Regulations Relating to Commerce and... Miscellaneous § 971.802 Public disclosure of documents received by NOAA. (a) Purpose. This section provides a... assure that NOAA has a complete and proper basis for determining the legality and appropriateness of...

  14. 15 CFR 904.502 - Bonded release of seized property.

    Code of Federal Regulations, 2012 CFR

    2012-01-01

    ... by applicable statute, at any time after seizure of any property, NOAA may, in its sole discretion, release any seized property upon deposit with NOAA of the full value of the property or such lesser amount as NOAA deems sufficient to protect the interests served by the applicable statute. In addition, NOAA...

  15. 15 CFR 996.13 - Determination of whether to offer certification for a hydrographic product or class.

    Code of Federal Regulations, 2012 CFR

    2012-01-01

    ..., DEPARTMENT OF COMMERCE QUALITY ASSURANCE AND CERTIFICATION REQUIREMENTS FOR NOAA HYDROGRAPHIC PRODUCTS AND SERVICES QUALITY ASSURANCE AND CERTIFICATION REQUIREMENTS FOR NOAA HYDROGRAPHIC PRODUCTS AND SERVICES The... at the option of NOAA. NOAA may decide at any time whether or not to offer certification for a...

  16. 15 CFR 971.802 - Public disclosure of documents received by NOAA.

    Code of Federal Regulations, 2014 CFR

    2014-01-01

    ... received by NOAA. 971.802 Section 971.802 Commerce and Foreign Trade Regulations Relating to Commerce and... Miscellaneous § 971.802 Public disclosure of documents received by NOAA. (a) Purpose. This section provides a... assure that NOAA has a complete and proper basis for determining the legality and appropriateness of...

  17. 15 CFR 996.13 - Determination of whether to offer certification for a hydrographic product or class.

    Code of Federal Regulations, 2011 CFR

    2011-01-01

    ..., DEPARTMENT OF COMMERCE QUALITY ASSURANCE AND CERTIFICATION REQUIREMENTS FOR NOAA HYDROGRAPHIC PRODUCTS AND SERVICES QUALITY ASSURANCE AND CERTIFICATION REQUIREMENTS FOR NOAA HYDROGRAPHIC PRODUCTS AND SERVICES The... at the option of NOAA. NOAA may decide at any time whether or not to offer certification for a...

  18. 15 CFR 996.13 - Determination of whether to offer certification for a hydrographic product or class.

    Code of Federal Regulations, 2013 CFR

    2013-01-01

    ..., DEPARTMENT OF COMMERCE QUALITY ASSURANCE AND CERTIFICATION REQUIREMENTS FOR NOAA HYDROGRAPHIC PRODUCTS AND SERVICES QUALITY ASSURANCE AND CERTIFICATION REQUIREMENTS FOR NOAA HYDROGRAPHIC PRODUCTS AND SERVICES The... at the option of NOAA. NOAA may decide at any time whether or not to offer certification for a...

  19. 15 CFR 904.502 - Bonded release of seized property.

    Code of Federal Regulations, 2013 CFR

    2013-01-01

    ... by applicable statute, at any time after seizure of any property, NOAA may, in its sole discretion, release any seized property upon deposit with NOAA of the full value of the property or such lesser amount as NOAA deems sufficient to protect the interests served by the applicable statute. In addition, NOAA...

  20. 15 CFR 996.13 - Determination of whether to offer certification for a hydrographic product or class.

    Code of Federal Regulations, 2014 CFR

    2014-01-01

    ..., DEPARTMENT OF COMMERCE QUALITY ASSURANCE AND CERTIFICATION REQUIREMENTS FOR NOAA HYDROGRAPHIC PRODUCTS AND SERVICES QUALITY ASSURANCE AND CERTIFICATION REQUIREMENTS FOR NOAA HYDROGRAPHIC PRODUCTS AND SERVICES The... at the option of NOAA. NOAA may decide at any time whether or not to offer certification for a...

  1. 15 CFR 971.802 - Public disclosure of documents received by NOAA.

    Code of Federal Regulations, 2012 CFR

    2012-01-01

    ... received by NOAA. 971.802 Section 971.802 Commerce and Foreign Trade Regulations Relating to Commerce and... Miscellaneous § 971.802 Public disclosure of documents received by NOAA. (a) Purpose. This section provides a... assure that NOAA has a complete and proper basis for determining the legality and appropriateness of...

  2. NOAA Photo Library

    Science.gov Websites

    NOAA Photo Library Banner Takes you to the Top Page Takes you to the About this Site page. Takes Collections page. Takes you to the search page. Takes you to the Links page. NOAA Photo Library Image ' Waterspouts" by Joseph H. Golden, NOAA Technical Memorandum ERL NSSL-70, 1974. Library Call Number

  3. NOAA Photo Library

    Science.gov Websites

    NOAA Photo Library Banner Takes you to the Top Page Takes you to the About this Site page. Takes Collections page. Takes you to the search page. Takes you to the Links page. NOAA Photo Library Image Photo Library, NOAA Central Library; OAR/ERL/National Severe Storms Laboratory (NSSL) Category

  4. NOAA Photo Library

    Science.gov Websites

    NOAA Photo Library Banner Takes you to the Top Page Takes you to the About this Site page. Takes Collections page. Takes you to the search page. Takes you to the Links page. NOAA Photo Library Image Location: Oklahoma, Altus Photo Date: May 20, 1977 Photographer: D. Burgess Credit: NOAA Photo Library

  5. NOAA Photo Library

    Science.gov Websites

    NOAA Photo Library Banner Takes you to the Top Page Takes you to the About this Site page. Takes Collections page. Takes you to the search page. Takes you to the Links page. NOAA Photo Library Image Location: Oklahoma, Arcadia Photo Date: June 8, 1974 Photographer: D. Burgess Credit: NOAA Photo Library

  6. NOAA declares string of seal deaths in New England an unusual mortality

    Science.gov Websites

    Alerts NOAA Organizations Working With NOAA Media & Constituents NOAA In Your State Emergency string of seal deaths in New England an unusual mortality event Public reminded to maintain safe distance the Working Group on Marine Mammal Unusual Mortality Events, a panel of international experts

  7. Education Strategic Plan 2015-2035: Advancing NOAA's Mission through Education. Executive Summary

    ERIC Educational Resources Information Center

    National Oceanic and Atmospheric Administration, 2016

    2016-01-01

    The National Oceanic and Atmospheric Administration (NOAA) Education Strategic Plan provides a framework to guide collaboration across the NOAA education community and a structure in which to track and report progress. Congress recognized the importance of NOAA's education programs with the passage of the America COMPETES Act. The America COMPETES…

  8. Education Strategic Plan 2015-2035: Advancing NOAA's Mission through Education

    ERIC Educational Resources Information Center

    National Oceanic and Atmospheric Administration, 2016

    2016-01-01

    The National Oceanic and Atmospheric Administration (NOAA) Education Strategic Plan provides a framework to guide collaboration across the NOAA education community and a structure in which to track and report progress. Congress recognized the importance of NOAA's education programs with the passage of the America COMPETES Act. The America COMPETES…

  9. 15 CFR 971.802 - Public disclosure of documents received by NOAA.

    Code of Federal Regulations, 2010 CFR

    2010-01-01

    ... received by NOAA. 971.802 Section 971.802 Commerce and Foreign Trade Regulations Relating to Commerce and... Miscellaneous § 971.802 Public disclosure of documents received by NOAA. (a) Purpose. This section provides a... assure that NOAA has a complete and proper basis for determining the legality and appropriateness of...

  10. 15 CFR 904.502 - Bonded release of seized property.

    Code of Federal Regulations, 2010 CFR

    2010-01-01

    ... by applicable statute, at any time after seizure of any property, NOAA may, in its sole discretion, release any seized property upon deposit with NOAA of the full value of the property or such lesser amount as NOAA deems sufficient to protect the interests served by the applicable statute. In addition, NOAA...

  11. 75 FR 18016 - Notice of Allocation Availability (NOAA) Inviting Applications for the CY 2010 Allocation Round...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2010-04-08

    ... Availability (NOAA) Inviting Applications for the CY 2010 Allocation Round of the New Markets Tax Credit Program Funding Opportunity Title: Notice of Allocation Availability (NOAA) Inviting Applications for the... form (see Section IV.D. of this NOAA for more details). Applications must meet all eligibility and...

  12. 78 FR 68816 - Proposed Information Collection; Comment Request; NOAA Space-Based Data Collection System (DCS...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2013-11-15

    ... Collection; Comment Request; NOAA Space- Based Data Collection System (DCS) Agreements AGENCY: National Oceanic and Atmospheric Administration (NOAA). ACTION: Notice. SUMMARY: The Department of Commerce, as... directed to Scott Rogerson, 301-817-4543 or [email protected]noaa.gov ; or Kay Metcalf, 301-817-4558 or kay...

  13. NOAA Photo Library - Meet the Photographers

    Science.gov Websites

    images and observations with America and the rest of the world. These individuals range from those who have worked their whole professional life for NOAA in far-flung corners of our Nation and the World to ) - World traveler with the NOAA Corps; currently working with NOAA's National Marine Fisheries Service

  14. GOES-S Mission Science Briefing

    NASA Image and Video Library

    2018-02-27

    GOES-S Mission Science Briefing hosted by Steve Cole, NASA Communications, with Dan Lindsey, GOES-R senior scientific advisor, NOAA; Louis Uccellini, director, National Weather Service, NOAA; Jim Roberts, scientist, Earth System Research Laboratory, Office of Atmospheric Research, NOAA; Kristin Calhoun, research scientist, National Severe Storms Laboratory, NOAA; and George Morrow, deputy director, NASA Goddard Space Flight Center.

  15. NOAA's operational path forward: Developing the Coyote UASonde

    NASA Astrophysics Data System (ADS)

    Cione, J.; Twining, K.; Silah, M.; Brescia, T.; Kalina, E.; Farber, A.; Troudt, C.; Ghanooni, A.; Baker, B.; Dumas, E. J.; Hock, T. F.; Smith, J.; French, J.; Fairall, C. W.; deBoer, G.; Bland, G.

    2016-12-01

    Since 2009, NOAA has shown an interest in using the air-deployed Coyote Unmanned Aircraft System (UAS) for low-altitude hurricane reconnaissance. In September of 2014, NOAA conducted two successful missions into Hurricane Edouard using this innovative observing tool. Since then, NOAA has continued to invest time and resources into the Coyote platform. These efforts include plans to release up to 7 additional Coyote UAS into tropical cyclones using NOAA's P-3 Hurricane Hunter manned aircraft in 2016. A longer-term goal for this multi-institutional partnership will be to modify the existing UAS design such that the next generation platform will be capable of conducting routine observations in direct support of a wide array of NOAA operations that extend beyond hurricane surveillance. The vision for this potentially transformative platform, dubbed the Coyote UASonde, will be to heavily leverage NOAA's existing capabilities, incorporate significant upgrades to the existing payload and employ an expert navigation and data communication system that utilizes artificial intelligence. A brief summary of Coyote successes to date as well as a future roadmap that leads NOAA towards an operationally-viable Coyote UASonde will be presented.

  16. NOAA Interest in Small Satellite Solutions for Mitigation of Data Gaps

    NASA Astrophysics Data System (ADS)

    Caulfield, M.; Tewey, K.; John, P.

    2016-12-01

    The National Oceanic and Atmospheric Administration (NOAA) is undertaking a strategy to achieve satellite constellation robustness by 2023 to maintain continuity of polar satellite observations, which are central to NOAA's weather forecast capability. NOAA's plans include mitigation activities in the event of a loss of polar observations. In 2017, NOAA will begin development of the Earth Observing Nanosatellite - Microwave (EON-MW). EON-MW is a miniature microwave sounder that approximates the atmospheric profiling capabilities of the Advanced Technology Microwave Sounder (ATMS) instrument on the NOAA Joint Polar Satellite System (JPSS). NOAA is collaborating with the Massachusetts Institute of Technology's Lincoln Laboratory (MIT / LL) on EON-MW, which includes 2 years of risk reduction efforts to further define the EON-MW mission and identify and manage key technical risks. These studies will refine designs and evaluate system trades for operational earth observations from a U-class satellite platform, as well as examine microwave sensor concepts and investigated payload architecture to support microwave frequencies for atmospheric remote sensing. Similar to EON-MW, NOAA is also investigating the potential to mitigate against the loss of the JPSS Cross Track Infrared Sounder (CrIS) data with a CubeSat based mid-wave Infrared sounder. NOAA is collaborating with the Jet Propulsion Laboratory (JPL) to design the Earth Observation Nanosatellite-Infrared (EON-IR). EON-IR will leverage the NASA-JPL CubSat based infrared sounder CubSat Infrared Atmospheric Sounder (CIRAS) mission. In FY 2015 NOAA funded a study to analyze the feasibility of meeting the essential requirements of the CrIS from a CubeSat platform and began exploring the basic design of the EON-IR payload and bus. NOAA will continue to study EON-IR in 2016 by examining ways to modify the CIRAS design to better meet NOAA's observational and operational needs. These modifications will aim to increase mission reliability and increase spatial and spectral resolution.

  17. 76 FR 16240 - Mandatory Reliability Standards for Interconnection Reliability Operating Limits

    Federal Register 2010, 2011, 2012, 2013, 2014

    2011-03-23

    ... Standards. The Reliability Standards were designed to prevent instability, uncontrolled separation, or... designed to prevent instability, uncontrolled separation, or cascading outages that adversely impact the... instability, uncontrolled separation, or cascading outages. See NERC Glossary, available at http://www.nerc...

  18. NOAA News Online (Story 2393)

    Science.gov Websites

    flights, said Russell C. Schnell, the director of observatory and global network operations at the NOAA NOAA Magazine || NOAA Home Page Commerce Dept. SCIENTISTS BRAVE BRUTAL ELEMENTS ON TOP OF THE WORLD TO STUDY OZONE LAYER Image of the Greenland Environmental Observatory at Summit in the Arctic

  19. NOAA Photo Library

    Science.gov Websites

    NOAA Photo Library Banner Takes you to the Top Page Takes you to the About this Site page. Takes Collections page. Takes you to the search page. Takes you to the Links page. NOAA Photo Library Image - spac0020 ESSA I, a TIROS cartwheel satellite launched on February 3, 1966. Image ID: spac0020, NOAA In

  20. KSC-2009-1375

    NASA Image and Video Library

    2008-11-06

    VANDENBERG AIR FORCE BASE, Calif. – Inside the payload processing facility at Vandenberg Air Force Base in California, an overhead crane moves the NOAA-N Prime satellite to a stand. NOAA-N Prime is built by Lockheed Martin and similar to NOAA-N launched on May 20, 2005. Launch of NOAA-N Prime is scheduled for Feb. 4. Photo credit: NASA

  1. 78 FR 35638 - Certificate of Alternative Compliance for the NOAA Research Vessel FSV-6 RUBEN LASKER, 9664988

    Federal Register 2010, 2011, 2012, 2013, 2014

    2013-06-13

    ... Compliance for the NOAA Research Vessel FSV-6 RUBEN LASKER, 9664988 AGENCY: Coast Guard, DHS. ACTION: Notice. SUMMARY: The Coast Guard announces that a Certificate of Alternative Compliance was issued for the NOAA... issued for the NOAA research vessel FSV-6 RUBEN LASKER. The vessel's primary purpose is to conduct...

  2. 76 FR 32392 - Notice of Allocation Availability (NOAA) Inviting Applications for the CY 2011 Allocation Round...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2011-06-06

    ... Availability (NOAA) Inviting Applications for the CY 2011 Allocation Round of the New Markets Tax Credit... charts) in electronic form (see Section IV.D. of this NOAA for more details). Applications must meet all eligibility and other requirements and deadlines, as applicable, set forth in this NOAA. Allocation applicants...

  3. Study by NOAA and Partners Shows Some Gulf Dolphins Severely Ill | NOAA

    Science.gov Websites

    Publications Press Releases Story Archive Home Study by NOAA and Partners Shows Some Gulf Dolphins Severely Ill Study by NOAA and Partners Shows Some Gulf Dolphins Severely Ill Aug 2011: Veterinarians collect samples of 2011, preliminary results show that many of the dolphins in the study are underweight, anemic

  4. 75 FR 13259 - NOAA Is Hosting a Series of Informational Webinars for Individuals and Organizations To Learn...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2010-03-19

    ... Informational Webinars for Individuals and Organizations To Learn About the Proposed NOAA Climate Service AGENCY... a new NOAA Climate Service. The proposed reorganization of existing agency assets is intended to help NOAA better work with our partners to respond to the growing demands for climate information from...

  5. Value of Undergraduate Internship Experiences at NOAA: Analysis of Survey Results

    NASA Astrophysics Data System (ADS)

    Kaplan, M.

    2014-12-01

    This presentation will examine survey data from over 500 undergraduates who participated in summer internships at NOAA facilities as Ernest F. Hollings Scholars and Educational Partnership Program (EPP) Undergraduate Scholars. NOAA selects over 100 students per year to receive academic support in their junior and senior years and a paid summer internship at any NOAA facility in the country. Scholars are hosted by NOAA mentors who actively oversee summer research activities. Analysis of survey results identified six thematic impacts from the internship experience (McIntosh and Baek, 2013).

  6. The NOAA Big Data Project: NEXRAD on the Cloud

    NASA Astrophysics Data System (ADS)

    Sundwall, Jed; Bouffler, Brendan

    2016-04-01

    Last year, the US National Oceanic and Atmospheric Administration (NOAA) made headlines when it entered into a research agreement with Amazon Web Services (AWS) to explore sustainable models to increase the output of open NOAA data. Publicly available NOAA data drives multi-billion dollar industries and critical research efforts. Under this new agreement, AWS and its Data Alliance collaborators are looking at ways to push more NOAA data to the cloud and build an ecosystem of innovation around it. In this presentation, we will provide a brief overview of the NOAA Big Data Project and the AWS Data Alliance, then dive into a specific example of data that has been made available (high resolution Doppler radar from the NEXRAD system) and early use cases.

  7. The NOAA Big Data Project: NEXRAD on the Cloud

    NASA Astrophysics Data System (ADS)

    Gold, A.; Weber, J.

    2015-12-01

    This past April, the US National Oceanic and Atmospheric Administration (NOAA) made headlines when it entered into a research agreement with Amazon Web Services (AWS) to explore sustainable models to increase the output of open NOAA data. Publicly available NOAA data drives multi-billion dollar industries and critical research efforts. Under this new agreement, AWS and its Data Alliance collaborators are looking at ways to push more NOAA data to the cloud and build an ecosystem of innovation around it. In this presentation, we will provide a brief overview of the NOAA Big Data Project and the AWS Data Alliance, then dive into a specific example of data that has been made available (high resolution Doppler radar from the NEXRAD system) and early use cases.

  8. 15 CFR 995.14 - Auditing.

    Code of Federal Regulations, 2011 CFR

    2011-01-01

    ... REQUIREMENTS FOR NOAA HYDROGRAPHIC PRODUCTS AND SERVICES CERTIFICATION REQUIREMENTS FOR DISTRIBUTORS OF NOAA HYDROGRAPHIC PRODUCTS Certification and Procedures § 995.14 Auditing. NOAA reserves the right to audit CED or...

  9. 15 CFR 995.14 - Auditing.

    Code of Federal Regulations, 2014 CFR

    2014-01-01

    ... REQUIREMENTS FOR NOAA HYDROGRAPHIC PRODUCTS AND SERVICES CERTIFICATION REQUIREMENTS FOR DISTRIBUTORS OF NOAA HYDROGRAPHIC PRODUCTS Certification and Procedures § 995.14 Auditing. NOAA reserves the right to audit CED or...

  10. 15 CFR 995.14 - Auditing.

    Code of Federal Regulations, 2012 CFR

    2012-01-01

    ... REQUIREMENTS FOR NOAA HYDROGRAPHIC PRODUCTS AND SERVICES CERTIFICATION REQUIREMENTS FOR DISTRIBUTORS OF NOAA HYDROGRAPHIC PRODUCTS Certification and Procedures § 995.14 Auditing. NOAA reserves the right to audit CED or...

  11. 15 CFR 995.22 - Training of data users.

    Code of Federal Regulations, 2013 CFR

    2013-01-01

    ... REQUIREMENTS FOR NOAA HYDROGRAPHIC PRODUCTS AND SERVICES CERTIFICATION REQUIREMENTS FOR DISTRIBUTORS OF NOAA HYDROGRAPHIC PRODUCTS Requirements for Certified Distributors and Value Added Distributors of NOAA ENC Products...

  12. 15 CFR 995.14 - Auditing.

    Code of Federal Regulations, 2013 CFR

    2013-01-01

    ... REQUIREMENTS FOR NOAA HYDROGRAPHIC PRODUCTS AND SERVICES CERTIFICATION REQUIREMENTS FOR DISTRIBUTORS OF NOAA HYDROGRAPHIC PRODUCTS Certification and Procedures § 995.14 Auditing. NOAA reserves the right to audit CED or...

  13. 15 CFR 995.22 - Training of data users.

    Code of Federal Regulations, 2010 CFR

    2010-01-01

    ... REQUIREMENTS FOR NOAA HYDROGRAPHIC PRODUCTS AND SERVICES CERTIFICATION REQUIREMENTS FOR DISTRIBUTORS OF NOAA HYDROGRAPHIC PRODUCTS Requirements for Certified Distributors and Value Added Distributors of NOAA ENC Products...

  14. 15 CFR 921.33 - Boundary changes, amendments to the management plan, and addition of multiple-site components.

    Code of Federal Regulations, 2011 CFR

    2011-01-01

    ... Reserve, may be made only after written approval by NOAA. NOAA may require public notice, including notice... statement may be required. NOAA will place a notice in the Federal Register of any proposed changes in... made. NOAA will publish notice of the proposed new site including an invitation for comments from the...

  15. 15 CFR 921.33 - Boundary changes, amendments to the management plan, and addition of multiple-site components.

    Code of Federal Regulations, 2014 CFR

    2014-01-01

    ... Reserve, may be made only after written approval by NOAA. NOAA may require public notice, including notice... statement may be required. NOAA will place a notice in the Federal Register of any proposed changes in... made. NOAA will publish notice of the proposed new site including an invitation for comments from the...

  16. 15 CFR 921.33 - Boundary changes, amendments to the management plan, and addition of multiple-site components.

    Code of Federal Regulations, 2013 CFR

    2013-01-01

    ... Reserve, may be made only after written approval by NOAA. NOAA may require public notice, including notice... statement may be required. NOAA will place a notice in the Federal Register of any proposed changes in... made. NOAA will publish notice of the proposed new site including an invitation for comments from the...

  17. 15 CFR 921.33 - Boundary changes, amendments to the management plan, and addition of multiple-site components.

    Code of Federal Regulations, 2012 CFR

    2012-01-01

    ... Reserve, may be made only after written approval by NOAA. NOAA may require public notice, including notice... statement may be required. NOAA will place a notice in the Federal Register of any proposed changes in... made. NOAA will publish notice of the proposed new site including an invitation for comments from the...

  18. NOAA: Strong El Niño sets the stage for 2015-2016 winter weather

    Science.gov Websites

    El Niño, among the strongest on record, is expected to influence weather and climate patterns this NOAA HOME WEATHER OCEANS FISHERIES CHARTING SATELLITES CLIMATE RESEARCH COASTS CAREERS National Temperature. Temperature - U.S. Winter Outlook: 2015-2016 (Credit: NOAA) Forecasters at NOAA's Climate

  19. Gulf Dolphins Questions & Answers | NOAA Gulf Spill Restoration

    Science.gov Websites

    seafood safe to eat? What should Gulf residents do if they find stranded wildlife? Why is NOAA studying dolphins in the Northern Gulf of Mexico now? NOAA and its federal, state and local partners are working this UME. NOAA is working with a team of marine mammal health experts to investigate the cause of death

  20. NOAA draft scientific integrity policy: Comment period open through 20 August

    NASA Astrophysics Data System (ADS)

    Showstack, Randy

    2011-08-01

    The National Oceanic and Atmospheric Administration (NOAA) is aiming to finalize its draft scientific integrity policy possibly by the end of the year, Larry Robinson, NOAA assistant secretary for conservation and management, indicated during a 28 July teleconference. The policy “is key to fostering an environment where science is encouraged, nurtured, respected, rewarded, and protected,” Robinson said, adding that the agency's comment period for the draft policy, which was released on 16 June, ends on 20 August. “Science underpins all that NOAA does. This policy is one piece of a broader effort to strengthen NOAA science,” Robinson said, noting that the draft “represents the first ever scientific integrity policy for NOAA. Previously, our policy only addressed research misconduct and focused on external grants. What's new about this policy is that it establishes NOAA's principles for scientific integrity, a scientific code of conduct, and a code of ethics for science supervision and management.”

  1. Mission Description and In-Flight Operations of ERBE Instruments on ERBS, NOAA 9, and NOAA 10 Spacecraft

    NASA Technical Reports Server (NTRS)

    Snyder, Dianne; Bush, Kathryn; Lee, Kam-Pui; Summerville, Jessica

    1998-01-01

    Instruments of the Earth Radiation Budget Experiment (ERBE) have operated on three different Earth-orbiting spacecraft. The Earth Radiation Budget Satellite (ERBS) is operated by the National Aeronautics and Space Administration (NASA), and the NOAA 9 and NOAA 10 weather satellites are operated by the National Oceanic and Atmospheric Administration (NOAA). This paper is one of a series that describes the ERBE mission, in-orbit environments, instrument design and operational features, and data processing and validation procedures. This paper also describes the in-flight operations for the ERBE nonscanner instruments aboard the ERBS, NOAA 9, and NOAA 10 spacecraft from January 1990 through December 1990. Validation and archives of radiation measurements made by ERBE nonscanner instruments during this period were completed in August 1996. This paper covers normal and special operations of the spacecraft and instruments, operational anomalies, and the responses of the instruments to in-orbit and seasonal variations in the solar environment.

  2. 78 FR 68345 - Airworthiness Directives; The Boeing Company Airplanes

    Federal Register 2010, 2011, 2012, 2013, 2014

    2013-11-14

    ... of the outboard actuator load path, could result in uncontrolled retraction of the outboard flap... outboard actuator load path, if not corrected, could result in uncontrolled retraction of the outboard flap..., combined with loss of the outboard actuator load path, could result in uncontrolled retraction of the...

  3. National Centers for Environmental Prediction

    Science.gov Websites

    ; at the NOAA/ESRL Rapid Refresh Page [<--click here] See "Current and Forecast Graphics" ; at the NOAA/ESRL High-Resolution Rapid Refresh Page [<--click here] NOAA / National Weather

  4. KSC-02PD1056

    NASA Image and Video Library

    2002-06-24

    VANDENBERG AIR FORCE BASE, CALIF. -- The National Oceanic and Atmospheric Administration (NOAA) spacecraft (NOAA-M) streaks above a cloud layer after a successful launch at 2:23 p.m. EDT aboard a Titan II rocket from Vandenberg Air Force Base, Calif. NOAA-M is another in a series of polar-orbiting Earth environmental observation satellites that provide global data to NOAA's short- and long-range weather forecasting systems

  5. NOAA Photo Library - Meet the Photographers/Capt. Albert E. Theberge, NOAA

    Science.gov Websites

    he was commissioned an Ensign in the then ESSA Corps. He stayed with the Corps through its transition to NOAA Corps and retired in late 1995 as a Captain with close to 27 years commissioned service Geophysical Data Center in Boulder, Colorado, where he headed a joint NOAA-DOE geothermal mapping program in

  6. NOAA Weather Radio

    Science.gov Websites

    Search For Go NWS All NOAA Radio NOAA emite avisos, vigilancias, pronósticos y otra información de Nacional de Administración Oceánica y Atmosférica y el Departamento de Comercio Federal. SEGUNDOS SALVAN Alarmas Las Radios NOAA equipadas con un rasgo de tono de alarma especial pueden sonar una alarma y pueden

  7. NOAA Photo Library - NOAA In Space Collection/Space Vehicles

    Science.gov Websites

    Collections page. Takes you to the search page. Takes you to the Links page. NOAA In Space space vehicles banner How do you get cameras, infra-red sensors, microwave sensors into space so they can observe the the above option to view ALL current images. NOAA In Space ~ Space Vehicles Album drawing of TIROS

  8. Developing Vocabularies to Improve Understanding and Use of NOAA Observing Systems

    NASA Astrophysics Data System (ADS)

    Austin, M.

    2014-12-01

    The NOAA Observing System Integrated Analysis project (NOSIA II), is an attempt to capture and tell the story of how valuable observing systems are in producing products and services that are required to fulfill the NOAA's diverse mission. NOAA's goals and mission areas cover a broad range of environmental data; a complexity exists in terms and vocabulary as applied to the creation of observing system derived products. The NOSIA data collection focused first on decomposing NOAA's goals in the creation and acceptance of Mission Service Areas (MSAs) by NOAA senior leadership. Products and services that supported the MSAs were then identified through the process of interviewing product producers across NOAA organization. Product Data inputs including models, databases and observing system were also identified. The NOSIA model contains over 20,000 nodes each representing levels in a network connecting products, datasources, users and desired outcomes. An immediate need became apparent that the complexity and variety of the data collected required data management to mature the quality and the content of the NOSIA model. The NOSIA Analysis Database (ADB) was developed initially to improve consistency of terms and data types to allow for the linkage of observing systems, products and NOAA's Goals and mission. The ADB also allowed for the prototyping of reports and product generation in an easily accessible and comprehensive format for the first time. Web based visualization of relationships between products, datasources, users, producers were generated to make the information easily understood This includes developing ontologies/vocabularies that are used for the development of users type specific products for NOAA leadership, Observing System Portfolio mangers and the users of NOAA data.

  9. Uncontrolled Hypertension and Its Determinants in Patients with Concomitant Type 2 Diabetes Mellitus (T2DM) in Rural South Africa.

    PubMed

    Adeniyi, Oladele Vincent; Yogeswaran, Parimalaranie; Longo-Mbenza, Benjamin; Ter Goon, Daniel

    2016-01-01

    Paucity of data on the prevalence, treatment and control of hypertension in individuals living with type 2 diabetes mellitus (T2DM) in the rural communities of South Africa may undermine efforts to reduce the morbidity and mortality associated with cardiovascular diseases. This study examines the socio-demographic and clinical determinants of uncontrolled hypertension among individuals living with T2DM in the rural communities of Mthatha, South Africa. This cross-sectional study involved a serially selected sample of 265 individuals living with T2DM and hypertension at Mthatha General Hospital, Mthatha. Uncontrolled hypertension was defined as systolic blood pressure greater than or equal to 140 mmHg and diastolic blood pressure greater than or equal to 90mmHg in accordance with the Eight Joint National Committee Report (JNC 8) (2014). We performed univariate and multivariate logistic regression analyses to identify the significant determinants of uncontrolled hypertension. Of the total participants (n = 265), the prevalence of uncontrolled hypertension was 75.5% (n = 200). In univariate analysis of all participants, male gender (p = 0.029), age≥65 years (p = 0.016), unemployed status (p<0.0001), excessive alcohol intake (p = 0.005) and consumption of western-type diet (p<0.0001) were positively associated with uncontrolled hypertension. In multivariate logistic regression (LR method) analysis, unemployed status (p<0.0001), excessive alcohol intake (p = 0.007) and consumption of western-type diet (p<0.0001) were independently and significantly associated with uncontrolled hypertension. There is significant association between increasing number and classes of anti-hypertensive drugs and uncontrolled hypertension (p = 0.05 and 0.02, respectively). Prevalence of uncontrolled hypertension was high in individuals with concomitant hypertension and T2DM in the study population. Male sex, aging, clinic inertia, unemployed status and nutritional transitions are the most important determinants of uncontrolled hypertension in T2DM in Mthatha, South Africa. Treatment to blood pressure targets, though feasible in our setting, would require concerted efforts by addressing these determinants and clinic inertia.

  10. NOAA Stratospheric Ozone Webpage

    Science.gov Websites

    Stratospheric Ozone Banner Home Data Science NOAA in Action In the Press FAQ NOAA Homepage In the Action In the Press FAQ Earth System Research Laboratory - CSD Homepage Earth System Research Laboratory

  11. National Centers for Environmental Prediction

    Science.gov Websites

    Contacts Change Log Events Calendar Numerical Forecast Systems Link to NOAA/ESRL Rapid Refresh page [< ;--click here] Link to NOAA/ESRL High-Resolution Rapid Refresh page [<--click here] NOAA / National

  12. The Metabolic Cost of Sound Production in Odontocete Cetaceans

    DTIC Science & Technology

    2011-09-30

    Cetaceans Marla M. Holt NOAA NMFS Northwest Fisheries Science Center 2725 Montlake Blvd. East Seattle, WA 98112 phone: (206) 860-3261 fax...206) 860-3475 email: marla.holt@noaa.gov Dawn P. Noren NOAA NMFS Northwest Fisheries Science Center 2725 Montlake Blvd. East Seattle, WA...NUMBER 5f. WORK UNIT NUMBER 7. PERFORMING ORGANIZATION NAME(S) AND ADDRESS(ES) NOAA NMFS Northwest Fisheries Science Center,2725 Montlake Blvd

  13. KSC-2009-1379

    NASA Image and Video Library

    2008-11-11

    VANDENBERG AIR FORCE BASE, Calif. – The NOAA-N Prime satellite is displayed in the payload processing facility at Vandenberg Air Force Base in California. NOAA-N Prime is the latest polar-orbiting operational environmental weather satellite developed by NASA for the National Oceanic and Atmospheric Administration. It is built by Lockheed Martin and similar to NOAA-N launched on May 20, 2005. Launch of NOAA-N Prime is scheduled for Feb. 4. Photo credit: NASA

  14. Budget Realities Could Put Damper on Some NOAA Programs

    NASA Astrophysics Data System (ADS)

    Showstack, Randy

    2010-12-01

    The fall meeting of the National Oceanic and Atmospheric Administration's (NOAA) Science Advisory Board was in part a study in contrasts: discussing the agency's vision, goals, and recent successes while facing the harsh economic and political landscape that will make it difficult for NOAA to receive sufficient funding for the current fiscal year (FY 2011) to do little more than tread water toward reaching some of those goals. During a 30 November presentation, NOAA administrator Jane Lubchenco provided an overview of NOAA's Next Generation Strategic Plan. The document focuses on four long-term goals: climate adaptation and mitigation, a weather-ready nation, resilient coastal communities and economies, and healthy oceans.

  15. Betty Petersen Memorial Library - NCWCP Publications - NWS

    Science.gov Websites

    NOAA logo - Click to go to the NOAA homepage Betty Petersen Memorial Library NOAA Library Logo Memorial Library 5830 University Research Court Room 1650, E / OC4 College Park, Maryland 20740 BPML

  16. 78 FR 26616 - Draft NOAA Five Year Research and Development Plan

    Federal Register 2010, 2011, 2012, 2013, 2014

    2013-05-07

    ... understanding among NOAA's leadership, workforce, partners, constituents, and Congress on how the agency's R&D... learn from its experiences. ADDRESSES: The draft can be found at http://nrc.noaa.gov/CouncilProducts...

  17. Mission description and in-flight operations of ERBE instruments on ERBS, NOAA 9, and NOAA 10 spacecraft

    NASA Technical Reports Server (NTRS)

    Weaver, William L.; Bush, Kathryn A.; Degnan, Keith T.; Howerton, Clayton E.; Tolson, Carol J.

    1992-01-01

    Instruments of the Earth Radiation Budget Experiment (ERBE) are operating on three different Earth-orbiting spacecraft. The Earth Radiation Budget Satellite (ERBS) is operated by NASA, and NOAA 9 and NOAA 10 weather satellites are operated by the National Oceanic and Atmospheric Administration (NOAA). This paper is the second in a series that describes the ERBE mission, and data processing and validation procedures. This paper describes the spacecraft and instrument operations for the second full year of in-orbit operations, which extend from February 1986 through January 1987. Validation and archival of radiation measurements made by ERBE instruments during this second year of operation were completed in July 1991. This period includes the only time, November 1986 through January 1987, during which all ERBE instruments aboard the ERBE, NOAA 9, and NOAA 10 spacecraft were simultaneously operational. This paper covers normal and special operations of the spacecraft and instruments, operational anomalies, and the responses of the instruments to in-orbit and seasonal variations in the solar environment.

  18. 15 CFR 995.10 - Correspondence and applications.

    Code of Federal Regulations, 2012 CFR

    2012-01-01

    ... CERTIFICATION REQUIREMENTS FOR NOAA HYDROGRAPHIC PRODUCTS AND SERVICES CERTIFICATION REQUIREMENTS FOR DISTRIBUTORS OF NOAA HYDROGRAPHIC PRODUCTS Certification and Procedures § 995.10 Correspondence and applications. (a) Distributors or value-added distributors desiring certification from NOAA shall provide a...

  19. 15 CFR 995.10 - Correspondence and applications.

    Code of Federal Regulations, 2014 CFR

    2014-01-01

    ... CERTIFICATION REQUIREMENTS FOR NOAA HYDROGRAPHIC PRODUCTS AND SERVICES CERTIFICATION REQUIREMENTS FOR DISTRIBUTORS OF NOAA HYDROGRAPHIC PRODUCTS Certification and Procedures § 995.10 Correspondence and applications. (a) Distributors or value-added distributors desiring certification from NOAA shall provide a...

  20. 15 CFR 995.10 - Correspondence and applications.

    Code of Federal Regulations, 2011 CFR

    2011-01-01

    ... CERTIFICATION REQUIREMENTS FOR NOAA HYDROGRAPHIC PRODUCTS AND SERVICES CERTIFICATION REQUIREMENTS FOR DISTRIBUTORS OF NOAA HYDROGRAPHIC PRODUCTS Certification and Procedures § 995.10 Correspondence and applications. (a) Distributors or value-added distributors desiring certification from NOAA shall provide a...

  1. 15 CFR 995.10 - Correspondence and applications.

    Code of Federal Regulations, 2013 CFR

    2013-01-01

    ... CERTIFICATION REQUIREMENTS FOR NOAA HYDROGRAPHIC PRODUCTS AND SERVICES CERTIFICATION REQUIREMENTS FOR DISTRIBUTORS OF NOAA HYDROGRAPHIC PRODUCTS Certification and Procedures § 995.10 Correspondence and applications. (a) Distributors or value-added distributors desiring certification from NOAA shall provide a...

  2. 15 CFR 995.10 - Correspondence and applications.

    Code of Federal Regulations, 2010 CFR

    2010-01-01

    ... CERTIFICATION REQUIREMENTS FOR NOAA HYDROGRAPHIC PRODUCTS AND SERVICES CERTIFICATION REQUIREMENTS FOR DISTRIBUTORS OF NOAA HYDROGRAPHIC PRODUCTS Certification and Procedures § 995.10 Correspondence and applications. (a) Distributors or value-added distributors desiring certification from NOAA shall provide a...

  3. Proceedings from the U.S. Army Corps of Engineers (USACE) and the National Oceanic and Atmospheric Administration (NOAA) Natural and Nature-Based Features Workshop

    DTIC Science & Technology

    2016-03-01

    ERDC-EL Research Biologist/Certified Facilitator Mintz Jennifer NOAA-OAR-OAP Regional Coordinator- Ocean Acidification Program/Facilitator Payne Dr...National Oceanic United States Army United States and Atmospheric Engineer Research Army Corps Administration and Development of Engineers (NOAA...and the National Oceanic and Atmospheric Administration (NOAA) Natural and Nature-Based Features Workshop March 1-3, 2016 Charleston, South

  4. KSC-2009-1382

    NASA Image and Video Library

    2008-11-11

    VANDENBERG AIR FORCE BASE, Calif. – Another view of the NOAA-N Prime satellite in the payload processing facility at Vandenberg Air Force Base in California. NOAA-N Prime is the latest polar-orbiting operational environmental weather satellite developed by NASA for the National Oceanic and Atmospheric Administration. It is built by Lockheed Martin and similar to NOAA-N launched on May 20, 2005. Launch of NOAA-N Prime is scheduled for Feb. 4. Photo credit: NASA

  5. KSC-2009-1372

    NASA Image and Video Library

    2008-11-05

    VANDENBERG AIR FORCE BASE, Calif. – Inside the payload processing facility at Vandenberg Air Force Base in California, NOAA-N Prime, the latest polar-orbiting operational environmental weather satellite developed by NASA for the National Oceanic and Atmospheric Administration, is revealed after removal of the shipping container. NOAA-N Prime is built by Lockheed Martin and similar to NOAA-N launched on May 20, 2005. Launch of NOAA-N Prime is scheduled for Feb. 4. Photo credit: NASA

  6. KSC-2009-1388

    NASA Image and Video Library

    2008-11-12

    VANDENBERG AIR FORCE BASE, Calif. – Another view of the NOAA-N Prime satellite in the payload processing facility at Vandenberg Air Force Base in California. NOAA-N Prime is the latest polar-orbiting operational environmental weather satellite developed by NASA for the National Oceanic and Atmospheric Administration. It is built by Lockheed Martin and similar to NOAA-N launched on May 20, 2005. Launch of NOAA-N Prime is scheduled for Feb. 4. Photo credit: NASA/Joe Davila, VAFB

  7. KSC-2009-1381

    NASA Image and Video Library

    2008-11-11

    VANDENBERG AIR FORCE BASE, Calif. – Another view of the NOAA-N Prime satellite in the payload processing facility at Vandenberg Air Force Base in California. NOAA-N Prime is the latest polar-orbiting operational environmental weather satellite developed by NASA for the National Oceanic and Atmospheric Administration. It is built by Lockheed Martin and similar to NOAA-N launched on May 20, 2005. Launch of NOAA-N Prime is scheduled for Feb. 4. Photo credit: NASA

  8. KSC-2009-1380

    NASA Image and Video Library

    2008-11-11

    VANDENBERG AIR FORCE BASE, Calif. – Another view of the NOAA-N Prime satellite in the payload processing facility at Vandenberg Air Force Base in California. NOAA-N Prime is the latest polar-orbiting operational environmental weather satellite developed by NASA for the National Oceanic and Atmospheric Administration. It is built by Lockheed Martin and similar to NOAA-N launched on May 20, 2005. Launch of NOAA-N Prime is scheduled for Feb. 4. Photo credit: NASA

  9. KSC-2009-1370

    NASA Image and Video Library

    2008-11-05

    VANDENBERG AIR FORCE BASE, Calif. – Inside the payload processing facility at Vandenberg Air Force Base in California, workers get ready to remove the shipping container from NOAA-N Prime, the latest polar-orbiting operational environmental weather satellite developed by NASA for the National Oceanic and Atmospheric Administration. NOAA-N Prime is built by Lockheed Martin and similar to NOAA-N launched on May 20, 2005. Launch of NOAA-N Prime is scheduled for Feb. 4. Photo credit: NASA

  10. Contributions of the NOAA Hollings Undergraduate Scholarship Program to the Geosciences Pipeline

    NASA Astrophysics Data System (ADS)

    Kaplan, M.

    2016-12-01

    Since 2005, the NOAA Ernest F. Hollings Undergraduate Scholarship Program has provided tuition support and paid summer internship opportunities at NOAA to exceptional students majoring in the geosciences. The purpose of the scholarship program is to train students in NOAA mission fields. Multiple methods were used to track the career trajectories of Hollings alumni, including mining LinkedIn data, conducting an impact analysis based on a professionally developed web-based evaluation survey, and a web-based alumni update system. At least one postgraduate record was recorded for 80% of Hollings Scholarship alumni. Of the alumni reached, more than 75% continued on to graduate school in a NOAA mission field, and 86% of those graduate degrees were in a NOAA mission field or other STEM field. More than 60% of alumni had at least one professional record, with the most alumni working in private industry, followed by nongovernmental organizations and federal, state and local government.

  11. NOAA Activities and Plans for New Operational Space Weather Platforms and Sensors

    NASA Astrophysics Data System (ADS)

    Biesecker, D. A.; Mulligan, P.; Cash, M. D.; Reinard, A.; Simpson, M.; Diedrich, B.; Socker, D. G.

    2013-12-01

    The National Oceanic and Atmospheric Administration (NOAA) is vigorously pursuing several space weather platforms that have been demonstrated as requiring replacement. In this time of limited budgets, this has led to the need for creative and innovative solutions. Just as importantly, NOAA is only 13 months away from the launch of its first L1 solar wind monitor, the DSCOVR mission. At the same time, a private company, L'Garde Inc. will be launching a solar sail mission with NOAA as a partner. Recognizing the importance of solar wind monitoring and the need for continuity, the planning process is already underway for the DSCOVR follow-on mission and scenarios for that include commercial data purchases and solar sails. Finally, NOAA planning for an operational coronagraph is moving forward, with continuing development of the Naval Research Laboratory's Compact Coronagraph (CCOR). We will provide details on the current NOAA plans for each of these missions.

  12. Uncontrollable Stress, Coping, and Subjective Well-Being in Urban Adolescents

    ERIC Educational Resources Information Center

    Coyle, Laura D.; Vera, Elizabeth M.

    2013-01-01

    The purpose of this study was to determine whether uncontrollable stress related to levels of subjective well-being (SWB) in a group of ethnically diverse urban adolescents. Additionally, the researchers examined what types of coping skills were utilized in the face of high levels of uncontrollable stress. Finally, a moderation model was proposed,…

  13. 15 CFR 996.3 - Fees.

    Code of Federal Regulations, 2012 CFR

    2012-01-01

    ... ATMOSPHERIC ADMINISTRATION, DEPARTMENT OF COMMERCE QUALITY ASSURANCE AND CERTIFICATION REQUIREMENTS FOR NOAA HYDROGRAPHIC PRODUCTS AND SERVICES QUALITY ASSURANCE AND CERTIFICATION REQUIREMENTS FOR NOAA HYDROGRAPHIC PRODUCTS AND SERVICES General § 996.3 Fees. NOAA may charge for its Quality Assurance Program activities...

  14. 15 CFR 996.3 - Fees.

    Code of Federal Regulations, 2013 CFR

    2013-01-01

    ... ATMOSPHERIC ADMINISTRATION, DEPARTMENT OF COMMERCE QUALITY ASSURANCE AND CERTIFICATION REQUIREMENTS FOR NOAA HYDROGRAPHIC PRODUCTS AND SERVICES QUALITY ASSURANCE AND CERTIFICATION REQUIREMENTS FOR NOAA HYDROGRAPHIC PRODUCTS AND SERVICES General § 996.3 Fees. NOAA may charge for its Quality Assurance Program activities...

  15. 15 CFR 996.3 - Fees.

    Code of Federal Regulations, 2014 CFR

    2014-01-01

    ... ATMOSPHERIC ADMINISTRATION, DEPARTMENT OF COMMERCE QUALITY ASSURANCE AND CERTIFICATION REQUIREMENTS FOR NOAA HYDROGRAPHIC PRODUCTS AND SERVICES QUALITY ASSURANCE AND CERTIFICATION REQUIREMENTS FOR NOAA HYDROGRAPHIC PRODUCTS AND SERVICES General § 996.3 Fees. NOAA may charge for its Quality Assurance Program activities...

  16. 15 CFR 996.3 - Fees.

    Code of Federal Regulations, 2011 CFR

    2011-01-01

    ... ATMOSPHERIC ADMINISTRATION, DEPARTMENT OF COMMERCE QUALITY ASSURANCE AND CERTIFICATION REQUIREMENTS FOR NOAA HYDROGRAPHIC PRODUCTS AND SERVICES QUALITY ASSURANCE AND CERTIFICATION REQUIREMENTS FOR NOAA HYDROGRAPHIC PRODUCTS AND SERVICES General § 996.3 Fees. NOAA may charge for its Quality Assurance Program activities...

  17. NOAA Launches Deepwater Horizon Library | NOAA Gulf Spill Restoration

    Science.gov Websites

    Restoration Area NOAA has unveiled a web archive of the maps, wildlife reports, scientific reports and other : Press releases related to the spill More than 100 wildlife reports, including reports related to sea

  18. 15 CFR 996.3 - Fees.

    Code of Federal Regulations, 2010 CFR

    2010-01-01

    ... ATMOSPHERIC ADMINISTRATION, DEPARTMENT OF COMMERCE QUALITY ASSURANCE AND CERTIFICATION REQUIREMENTS FOR NOAA HYDROGRAPHIC PRODUCTS AND SERVICES QUALITY ASSURANCE AND CERTIFICATION REQUIREMENTS FOR NOAA HYDROGRAPHIC PRODUCTS AND SERVICES General § 996.3 Fees. NOAA may charge for its Quality Assurance Program activities...

  19. 78 FR 16254 - (NOAA) Science Advisory Board (SAB)

    Federal Register 2010, 2011, 2012, 2013, 2014

    2013-03-14

    ... DEPARTMENT OF COMMERCE National Oceanic and Atmospheric Administration (NOAA) Science Advisory... Administration (NOAA), Department of Commerce (DOC). ACTION: Notice of open meeting. SUMMARY: The Science... Atmosphere on strategies for research, education, and application of science to operations and information...

  20. 75 FR 69920 - (NOAA) Science Advisory Board (SAB)

    Federal Register 2010, 2011, 2012, 2013, 2014

    2010-11-16

    ... DEPARTMENT OF COMMERCE National Oceanic and Atmospheric Administration (NOAA) Science Advisory... Administration (NOAA), Department of Commerce (DOC). ACTION: Notice of open meeting. SUMMARY: The Science... Atmosphere on strategies for research, education, and application of science to operations and information...

  1. NOAA Freedom of Information Act (FOIA) Corporate Services, Staff and Line

    Science.gov Websites

    Items of Interest for the Public FOIA Contacts Frequently requested records Reading Room For NOAA Staff -628-5755 Andre Sivels Records Officer NOAA Corporate Services 301-628-5658 Staff Office, Service

  2. Patient Perspectives on Quality of Life With Uncontrolled Type 1 Diabetes Mellitus: A Systematic Review and Qualitative Meta-synthesis.

    PubMed

    Vanstone, Meredith; Rewegan, Alex; Brundisini, Francesca; Dejean, Deirdre; Giacomini, Mita

    2015-01-01

    Patients with uncontrolled type 1 diabetes mellitus may be candidates for pancreatic islet cell transplantation. This report synthesizes qualitative research on how patients with uncontrolled type 1 diabetes perceive their quality of life. The objective of this analysis was to examine the perceptions of patients with uncontrolled type 1 diabetes on how it affects their lived experience and quality of life. This report synthesizes 31 primary qualitative studies to examine quality of life from the perspectives of adult patients with type 1 diabetes mellitus and their families or partners. We performed a qualitative meta-synthesis to integrate findings across primary research studies. Long- and short-term negative consequences of uncontrolled type 1 diabetes affect all aspects of patients' lives: physical, emotional, practical, and social. The effect on each domain is far-reaching, and effects interact across domains. Uncontrolled blood sugar levels lead to substantial psychological distress, negative moods, cognitive difficulties, irritable or aggressive behaviour, and closely associated problems with relationships, self-image, and confidence. Emotional distress is pervasive and under-addressed by health care providers. Patients live in fear of complications from diabetes over the long term. In the shorter term, they are anxious about the personal, social, and professional consequences of hypoglycemic episodes (e.g., injury, humiliation), and may curtail normal activities such as driving or socializing because they are worried about having an episode. The quality of life for patients' family members is also negatively impacted by uncontrolled type 1 diabetes. Uncontrolled type 1 diabetes has significant negative impacts on the quality of life of both people with the disease and their families.

  3. Reasons for uncontrolled seizures in children: the impact of pseudointractability.

    PubMed

    Asadi-Pooya, Ali A; Emami, Mehrdad

    2012-11-01

    We investigated the various possible reasons for uncontrolled seizures in patients under 18 years of age to determine the impact of pseudointractability. We also investigated the various forms of pseudointractability in children with uncontrolled seizures. In this cross-sectional retrospective chart review study, all patients under 18 years of age with their first seizure occurring at least 6 months prior to the referral date, taking at least one antiepileptic drug (AED), and having at least one seizure in the past 3 months were studied. The presumed reason for uncontrolled seizures was arbitrarily considered to be one of these five categories: poor adherence; wrong medication; wrong dose of the correct medication; diagnosis other than epilepsy; and finally, medically refractory epilepsy. Statistical analyses were performed using Chi-square and Fisher's Exact tests to determine potentially significant differences, and a P value less than 0.05 was considered significant. During the study period, 198 patients were referred to us due to uncontrolled seizures. Ninety patients (45%) were taking one AED, 55 (28%) were taking two AEDs, and 53 (27%) patients were taking more than two AEDs at the time of referral. Four percent of these patients did not have epilepsy. Forty-seven percent of the children with uncontrolled seizures had medically refractory epilepsy; 37% were taking the wrong AEDs; 10% were taking suboptimal doses of AEDs; and 2% had poor drug adherence. Uncontrolled seizures in children are a commonly encountered problem, particularly at epilepsy clinics. One should consider all possible reasons for these uncontrolled seizures, including non-epileptic seizures, pseudointractability, and medically refractory epilepsy. The mainstay for making a correct diagnosis is a detailed clinical history. Copyright © 2012 Elsevier Inc. All rights reserved.

  4. Differences in visible and near-IR responses, and derived vegetation indices, for the NOAA-9 and NOAA-10 AVHRRs: a case study

    USGS Publications Warehouse

    Gallo, Kevin P.; Eidenshink, Jeffery C.

    1988-01-01

    This study evaluates the differences in the visible and near-IR responses of the Advanced Very High Resolution Radiometers (AVHRR) of the National Oceanic and Atmospheric Administration (NOAA)-9 and -10 satellites for coincident sample locations. The study also evaluates the differences in vegetation indices computed from those data. Data were acquired of the southeast portion of the United States for the 6 December 1986 daylight orbits of NOAA-9 and NOAA-10 satellites. The results suggest that, with appropriate gain and offset, the vegetation indices of the two sensor systems may be interchangeable for assessment of land surfaces.

  5. Utilization of Meteorological Satellite Imagery for World-Wide Environmental Monitoring the Lower Mississippi River Flood of 1979 - Case 1. [St. Louis, Missouri

    NASA Technical Reports Server (NTRS)

    Helfert, M. R.; Mccrary, D. G.; Gray, T. I. (Principal Investigator)

    1981-01-01

    The 1979 Lower Mississippi River flood was selected as a test case of environmental disaster monitoring utilizing NOAA-n imagery. A small scale study of the St. Louis Missouri area comparing ERTS-1 (LANDSAT) and NOAA-2 imagery and flood studies using only LANDSAT imagery for mapping the Rad River of the North, and Nimbus-5 imagery for East Australia show the nonmeteorological applications of NOAA satellites. While the level of NOAA-n imagery detail is not that of a LANDSAT image, for operational environmental monitoring users the NOAA-n imagery may provide acceptable linear resolution and spectral isolation.

  6. Sexual murderers' implicit theories.

    PubMed

    Beech, Anthony; Fisher, Dawn; Ward, Tony

    2005-11-01

    Interviews with 28 sexual murderers were subjected to grounded theory analysis. Five implicit theories (ITs) were identified: dangerous world, male sex drive is uncontrollable, entitlement, women as sexual objects, and women as unknowable. These ITs were found to be identical to those identified in the literature as being present in rapists. The presence of dangerous world and male sex drive is uncontrollable were present, or absent, such that three groups could be identified: (a) dangerous world plus male sex drive is uncontrollable; (b) dangerous world, in the absence of male sex drive is uncontrollable; (c) male sex drive is uncontrollable in the absence of dangerous world. These three groups were found to differ in motivation: (a) were motivated by urges to rape and murder; (b) were motivated by grievance, resentment and/or anger toward women; (c) were motivated to sexually offend but were prepared to kill to avoid detection, or secure compliance.

  7. KSC-2009-1378

    NASA Image and Video Library

    2008-11-07

    VANDENBERG AIR FORCE BASE, Calif. – In the NASA payload processing facility at Vandenberg Air Force Base in California, the NOAA-N Prime satellite is bagged before moving it. NOAA-N Prime is the latest polar-orbiting operational environmental weather satellite developed by NASA for the National Oceanic and Atmospheric Administration. It is built by Lockheed Martin and similar to NOAA-N launched on May 20, 2005. Launch of NOAA-N Prime is scheduled for Feb. 4. Photo credit: NASA/Robert Hargreaves Jr., VAFB

  8. NOAA Photo Library - NOAA In Space Collection/Space Vehicles Album/Tiros

    Science.gov Websites

    NOAA Photo Library Banner Takes you to the Top Page Takes you to the About this Site page. Takes you to the Contacts page. Takes you to the HELP page. Takes you to the Credits page. Takes you to the Collections page. Takes you to the search page. Takes you to the Links page. Tiros Banner NOAA In Space

  9. New directions for the National Ocean Service

    NASA Astrophysics Data System (ADS)

    Wolff, Paul M.

    The National Ocean Service, which I've headed since December 1983, is one of the major line components of the National Oceanic and Atmospheric Administration (NOAA). NOAA, in turn, is part of the Department of Commerce and is the leading federal agency in the oceanic and atmospheric sciences. Other agencies are involved in the earth sciences, such as the Department of the Interior's Geological Survey, or are in the business of environmental regulations, like the U.S. Environmental Protection Agency, but NOAA is the one federal agency charged specifically with analyzing and predicting oceanic and atmospheric components of the earth's environment as a whole. The importance of this global, integrated air-sea approach is reflected in the five NOAA line offices.This past December, NOAA line offices were reorganized to consolidate programs as part of the Reagan Administration's general government-wide belt tightening (see Figure 1). The idea was for NOAA to grow leaner but stronger. The main thrust of the work of the Weather Service and the Marine Fisheries Service remained the same. The Office of Oceanic and Atmospheric Research continued to provide research support to the other NOAA components. A trimmed down Environmental Data and Information Service merged with the National Environmental Satellite Service to become today's National Environmental Satellite, Data, and Information Service. Also, this past December the NOAA Office of Coastal Zone Management joined forces with the National Ocean Survey to become the National Ocean Service.

  10. Accuracy assessment of NOAA gridded daily reference evapotranspiration for the Texas High Plains

    USGS Publications Warehouse

    Moorhead, Jerry; Gowda, Prasanna H.; Hobbins, Michael; Senay, Gabriel; Paul, George; Marek, Thomas; Porter, Dana

    2015-01-01

    The National Oceanic and Atmospheric Administration (NOAA) provides daily reference evapotranspiration (ETref) maps for the contiguous United States using climatic data from North American Land Data Assimilation System (NLDAS). This data provides large-scale spatial representation of ETref, which is essential for regional scale water resources management. Data used in the development of NOAA daily ETref maps are derived from observations over surfaces that are different from short (grass — ETos) or tall (alfalfa — ETrs) reference crops, often in nonagricultural settings, which carries an unknown discrepancy between assumed and actual conditions. In this study, NOAA daily ETos and ETrs maps were evaluated for accuracy, using observed data from the Texas High Plains Evapotranspiration (TXHPET) network. Daily ETos, ETrs and the climatic data (air temperature, wind speed, and solar radiation) used for calculating ETref were extracted from the NOAA maps for TXHPET locations and compared against ground measurements on reference grass surfaces. NOAA ETrefmaps generally overestimated the TXHPET observations (1.4 and 2.2 mm/day ETos and ETrs, respectively), which may be attributed to errors in the NLDAS modeled air temperature and wind speed, to which reference ETref is most sensitive. Therefore, a bias correction to NLDAS modeled air temperature and wind speed data, or adjustment to the resulting NOAA ETref, may be needed to improve the accuracy of NOAA ETref maps.

  11. NOAA Observing System Integrated Analysis (NOSIA): development and support to the NOAA Satellite Observing System Architecture

    NASA Astrophysics Data System (ADS)

    Reining, R. C.; Cantrell, L. E., Jr.; Helms, D.; LaJoie, M.; Pratt, A. S.; Ries, V.; Taylor, J.; Yuen-Murphy, M. A.

    2016-12-01

    There is a deep relationship between NOSIA-II and the Federal Earth Observation Assessment (EOA) efforts (EOA 2012 and 2016) chartered under the National Science and Technology Council, Committee on Environment, Natural Resources, and Sustainability, co-chaired by the White House Office of Science and Technology Policy, NASA, NOAA, and USGS. NOSIA-1, which was conducted with a limited scope internal to NOAA in 2010, developed the methodology and toolset that was adopted for EOA 2012, and NOAA staffed the team that conducted the data collection, modeling, and analysis effort for EOA 2012. EOA 2012 was the first-ever integrated analysis of the relative impact of 379 observing systems and data sources contributing to the key objectives identified for 13 Societal Benefit Areas (SBA) including Weather, Climate, Disasters, Oceans and Coastal Resources, and Water Resources. This effort culminated in the first National Plan for Civil Earth Observations. NOAA conducted NOSIA-II starting in 2012 to extend the NOSIA methodology across all of NOAA's Mission Service Areas, covering a representative sample (over 1000) of NOAA's products and services. The detailed information from NOSIA-II is being integrated into EOA 2016 to underpin a broad array of Key Products, Services, and (science) Objectives (KPSO) identified by the inter-agency SBA teams. EOA 2016 is expected to provide substantially greater insight into the cross-agency impacts of observing systems contributing to a wide array of KPSOs, and by extension, to societal benefits flowing from these public-facing products. NOSIA-II is being adopted by NOAA as a corporate decision-analysis and support capability to inform leadership decisions on its integrated observing systems portfolio. Application examples include assessing the agency-wide impacts of planned decommissioning of ships and aircraft in NOAA's fleet, and the relative cost-effectiveness of alternative space-based architectures in the post-GOES-R and JPSS era. Like EOA, NOSIA is not limited to NOAA observing systems, and takes the contribution of observing systems from other agencies, the public sector, and international partnerships into account.

  12. NOAA tools to support CSC and LCC regional climate science priorities in the western Gulf of Mexico

    NASA Astrophysics Data System (ADS)

    Brown, D. P.; Marcy, D.; Robbins, K.; Shafer, M.; Stiller, H.

    2012-12-01

    The National Oceanic and Atmospheric Administration (NOAA) is an active regional partner with the Department of Interior (DOI) in supplying and supporting the delivery of climate science and services. A primary mechanism for NOAA-DOI coordination at the regional scale is the Landscape Conservation Cooperative (LCC) network, which is supported in part by DOI Climate Science Centers (CSC). Together, the CSCs and LCCs provide a framework to identify landscape-scale science and services priorities for conservation and management. As a key partner of the CSCs and an active member of many LCCs, NOAA is working to ensure its own regional product and service delivery efforts will help address these conservation and management challenges. Two examples of NOAA's regional efforts are highlighted here, with a focus on the coastal and interior geographies of the western Gulf of Mexico where NOAA partners with the South Central CSC and participates as a member of the Gulf Coast Prairie LCC. Along the Texas coastline, a sea level rise and coastal flooding impacts viewer, produced by NOAA's Coastal Services Center and available via its Digital Coast interface, allows constituents to visualize estimates of sea level rise, measures of uncertainty, flood frequencies, and environmental (e.g., marsh migration) and socioeconomic (e.g., tidal flooding of built environments) impacts. In the interior of Texas and Louisiana, NOAA's Southern Regional Climate Center is leading a consortium of partners in the development of a unified source of regional water reservoir information, including current conditions, a historical database, and web-based visualization tools to illustrate spatio-temporal variations in water availability to a broad array of hydrological, agricultural, and other customers. These two examples of NOAA products can, in their existing forms, support regional conservation and management priorities for CSCs and LCCs by informing vulnerability assessments and adaptation planning. Enhancements to these and other efforts can be achieved through a robust collaboration between NOAA and DOI that links regional science priorities to regional service delivery.

  13. User Driven Data Mining, Visualization and Decision Making for NOAA Observing System and Data Investments

    NASA Astrophysics Data System (ADS)

    Austin, M.

    2016-12-01

    The National Oceanic and Atmospheric Administration (NOAA) observing system enterprise represents a $2.4B annual investment. Earth observations from these systems are foundational to NOAA's mission to describe, understand, and predict the Earth's environment. NOAA's decision makers are charged with managing this complex portfolio of observing systems to serve the national interest effectively and efficiently. The Technology Planning & Integration for Observation (TPIO) Office currently maintains an observing system portfolio for NOAA's validated user observation requirements, observing capabilities, and resulting data products and services. TPIO performs data analytics to provide NOAA leadership business case recommendations for making sound budgetary decisions. Over the last year, TPIO has moved from massive spreadsheets to intuitive dashboards that enable Federal agencies as well as the general public the ability to explore user observation requirements and environmental observing systems that monitor and predict changes in the environment. This change has led to an organizational data management shift to analytics and visualizations by allowing analysts more time to focus on understanding the data, discovering insights, and effectively communicating the information to decision makers. Moving forward, the next step is to facilitate a cultural change toward self-serve data sharing across NOAA, other Federal agencies, and the public using intuitive data visualizations that answer relevant business questions for users of NOAA's Observing System Enterprise. Users and producers of environmental data will become aware of the need for enhancing communication to simplify information exchange to achieve multipurpose goals across a variety of disciplines. NOAA cannot achieve its goal of producing environmental intelligence without data that can be shared by multiple user communities. This presentation will describe where we are on this journey and will provide examples of these visualizations, promoting a better understanding of NOAA's environmental sensing capabilities that enable improved communication to decision makers in an effective and intuitive manner.

  14. Transforming National Oceanic and Atmospheric Administration (NOAA) Water Prediction

    NASA Astrophysics Data System (ADS)

    Graziano, T. M.; Clark, E. P.

    2016-12-01

    As a significant step forward to transform NOAA's water prediction services, NOAA plans to implement a new National Water Model (NWM) Version 1.0 in August 2016. A continental scale water resources model, the NWM is an evolution of the WRF-Hydro architecture developed by the National Center for Atmospheric Research (NCAR). It represents NOAA's first foray into high performance computing for water prediction and will expand NOAA's current water quantity forecasts, at approximately 4000 U.S. Geological Survey (USGS) stream gage sites across the country, to forecasts of flow, soil moisture, evapotranspiration, runoff, snow water equivalent and other parameters for 2.7 million stream reaches nationwide. This new guidance will be provided to NOAA's River Forecast Centers around the country and other field offices, along with guidance for evaluation and validation, and tools to visualize these data and enhance decision support. Initially, a subset if these data will be available via NOAA's Office of Water Prediction web site and the full output of the NWM simulations will be available via the NOAA Operational Model Archive and Distribution System (NOMADS). These enhancements in turn will improve NWS' ability to deliver impact-based decision support services nationwide through the provision of short through extended range, high fidelity "street level" water forecasts and warnings. Subsequent planned out-year enhancements to the NWM include the expanded assimilation of anthropogenic data, an operational nest to provide higher resolution forecasts needed for inundation mapping, and tackling the deeper challenges associated with drought and other water resources issues. The NWM is a NOAA-led interagency effort that relies on the National Hydrographic Dataset of the USGS and EPA, as well as the National Streamflow Information Program of the USGS. Its development continues to be advanced in partnership with NCAR, and a partnership with the Consortium for the Advancement of Hydrologic Sciences, Inc. (CUASHI) and the National Science Foundation. This presentation will highlight the policy, programmatic, and service transformation of NOAA's water resources mission with the NWM.

  15. Inter-Satellite Calibration Linkages for the Visible and Near-Infrared Channels of the Advanced Very High Resolution Radiometer on the NOAA-7, -9, and -11 Spacecraft. Revised

    NASA Technical Reports Server (NTRS)

    NagarajaRao, C. R.; Chen, J.

    1996-01-01

    The post-launch degradation of the visible (channel 1: 0.58- 068 microns) and near-infrared (channel 2: approx. 0.72 - l.l microns) channels of the Advanced Very High Resolution Radiometer (AVHRR) on the NOAA-7, -9, and -11 Polar-orbiting Operational Environmental Satellites (POES) was estimated using the south-eastern part of the Libyan Desert as a radiometrically stable calibration target. The relative annual degradation rates, in per cent, for the two channels are, respectively: 3.6 and 4.3 (NOAA-7); 5.9 and 3.5 (NOAA-9); and 1.2 and 2.0 (NOAA-11). Using the relative degradation rates thus determined, in conjunction with absolute calibrations based on congruent path aircraft/satellite radiance measurements over White Sands, New Mexico (USA), the variation in time of the absolute gain or slope of the AVHRR on NOAA-9 was evaluated. Inter-satellite calibration linkages were established, using the AVHRR on NOAA-9 as a normalization standard. Formulae for the calculation of calibrated radiances and albedos (AVHRR usage), based on these interlinkages, are given for the three AVHRRs.

  16. GEONETCast Americas - Architecture

    Science.gov Websites

    Americas is a contribution from the United States National Oceanic and Atmospheric Administration whose Surveillance; Sustainable Urban Development and Water Resources Management. NOAA Privacy Policy Copyright 2008 © NOAA. All rights reserved. the National Oceanic and Atmospheric Administration (NOAA) Last

  17. 15 CFR 996.32 - Appeals.

    Code of Federal Regulations, 2013 CFR

    2013-01-01

    ... REQUIREMENTS FOR NOAA HYDROGRAPHIC PRODUCTS AND SERVICES QUALITY ASSURANCE AND CERTIFICATION REQUIREMENTS FOR NOAA HYDROGRAPHIC PRODUCTS AND SERVICES Other Quality Assurance Program Matters § 996.32 Appeals. (a... Coastal Zone Management, NOAA, using procedures to be established at the time of the appeal, and which...

  18. 15 CFR 996.21 - Performance of compliance testing.

    Code of Federal Regulations, 2011 CFR

    2011-01-01

    ... CERTIFICATION REQUIREMENTS FOR NOAA HYDROGRAPHIC PRODUCTS AND SERVICES QUALITY ASSURANCE AND CERTIFICATION REQUIREMENTS FOR NOAA HYDROGRAPHIC PRODUCTS AND SERVICES Certification of a Hydrographic Product and Decertification. § 996.21 Performance of compliance testing. (a) NOAA and the applicant shall submit the applicant...

  19. 15 CFR 995.6 - Fees.

    Code of Federal Regulations, 2011 CFR

    2011-01-01

    ... ATMOSPHERIC ADMINISTRATION, DEPARTMENT OF COMMERCE QUALITY ASSURANCE AND CERTIFICATION REQUIREMENTS FOR NOAA HYDROGRAPHIC PRODUCTS AND SERVICES CERTIFICATION REQUIREMENTS FOR DISTRIBUTORS OF NOAA HYDROGRAPHIC PRODUCTS General § 995.6 Fees. (a) The Office of Coast Survey, NOAA, may charge a fee for costs incurred to process...

  20. 15 CFR 996.32 - Appeals.

    Code of Federal Regulations, 2011 CFR

    2011-01-01

    ... REQUIREMENTS FOR NOAA HYDROGRAPHIC PRODUCTS AND SERVICES QUALITY ASSURANCE AND CERTIFICATION REQUIREMENTS FOR NOAA HYDROGRAPHIC PRODUCTS AND SERVICES Other Quality Assurance Program Matters § 996.32 Appeals. (a... Coastal Zone Management, NOAA, using procedures to be established at the time of the appeal, and which...

  1. 15 CFR 996.1 - Purpose and scope.

    Code of Federal Regulations, 2014 CFR

    2014-01-01

    ... REQUIREMENTS FOR NOAA HYDROGRAPHIC PRODUCTS AND SERVICES QUALITY ASSURANCE AND CERTIFICATION REQUIREMENTS FOR NOAA HYDROGRAPHIC PRODUCTS AND SERVICES General § 996.1 Purpose and scope. The National Oceanic and Atmospheric Administration (NOAA) was mandated to develop and implement a quality assurance program that is...

  2. 15 CFR 995.6 - Fees.

    Code of Federal Regulations, 2013 CFR

    2013-01-01

    ... ATMOSPHERIC ADMINISTRATION, DEPARTMENT OF COMMERCE QUALITY ASSURANCE AND CERTIFICATION REQUIREMENTS FOR NOAA HYDROGRAPHIC PRODUCTS AND SERVICES CERTIFICATION REQUIREMENTS FOR DISTRIBUTORS OF NOAA HYDROGRAPHIC PRODUCTS General § 995.6 Fees. (a) The Office of Coast Survey, NOAA, may charge a fee for costs incurred to process...

  3. 15 CFR 996.1 - Purpose and scope.

    Code of Federal Regulations, 2011 CFR

    2011-01-01

    ... REQUIREMENTS FOR NOAA HYDROGRAPHIC PRODUCTS AND SERVICES QUALITY ASSURANCE AND CERTIFICATION REQUIREMENTS FOR NOAA HYDROGRAPHIC PRODUCTS AND SERVICES General § 996.1 Purpose and scope. The National Oceanic and Atmospheric Administration (NOAA) was mandated to develop and implement a quality assurance program that is...

  4. 15 CFR 923.96 - Grant amendments.

    Code of Federal Regulations, 2013 CFR

    2013-01-01

    ... Assistant Administrator and approved in writing by the NOAA Grants Officer prior to initiation of the...) NOAA shall acknowledge receipt of the grantee's request within the ten (10) working days of receipt of the correspondence. This notification shall indicate NOAA's decision regarding the request; or...

  5. 15 CFR 996.32 - Appeals.

    Code of Federal Regulations, 2012 CFR

    2012-01-01

    ... REQUIREMENTS FOR NOAA HYDROGRAPHIC PRODUCTS AND SERVICES QUALITY ASSURANCE AND CERTIFICATION REQUIREMENTS FOR NOAA HYDROGRAPHIC PRODUCTS AND SERVICES Other Quality Assurance Program Matters § 996.32 Appeals. (a... Coastal Zone Management, NOAA, using procedures to be established at the time of the appeal, and which...

  6. 15 CFR 996.23 - Audit and decertification of hydrographic products.

    Code of Federal Regulations, 2011 CFR

    2011-01-01

    ... ASSURANCE AND CERTIFICATION REQUIREMENTS FOR NOAA HYDROGRAPHIC PRODUCTS AND SERVICES QUALITY ASSURANCE AND CERTIFICATION REQUIREMENTS FOR NOAA HYDROGRAPHIC PRODUCTS AND SERVICES Certification of a Hydrographic Product and Decertification. § 996.23 Audit and decertification of hydrographic products. (a) NOAA may audit...

  7. 15 CFR 996.1 - Purpose and scope.

    Code of Federal Regulations, 2012 CFR

    2012-01-01

    ... REQUIREMENTS FOR NOAA HYDROGRAPHIC PRODUCTS AND SERVICES QUALITY ASSURANCE AND CERTIFICATION REQUIREMENTS FOR NOAA HYDROGRAPHIC PRODUCTS AND SERVICES General § 996.1 Purpose and scope. The National Oceanic and Atmospheric Administration (NOAA) was mandated to develop and implement a quality assurance program that is...

  8. 15 CFR 996.21 - Performance of compliance testing.

    Code of Federal Regulations, 2014 CFR

    2014-01-01

    ... CERTIFICATION REQUIREMENTS FOR NOAA HYDROGRAPHIC PRODUCTS AND SERVICES QUALITY ASSURANCE AND CERTIFICATION REQUIREMENTS FOR NOAA HYDROGRAPHIC PRODUCTS AND SERVICES Certification of a Hydrographic Product and Decertification. § 996.21 Performance of compliance testing. (a) NOAA and the applicant shall submit the applicant...

  9. 15 CFR 995.6 - Fees.

    Code of Federal Regulations, 2014 CFR

    2014-01-01

    ... ATMOSPHERIC ADMINISTRATION, DEPARTMENT OF COMMERCE QUALITY ASSURANCE AND CERTIFICATION REQUIREMENTS FOR NOAA HYDROGRAPHIC PRODUCTS AND SERVICES CERTIFICATION REQUIREMENTS FOR DISTRIBUTORS OF NOAA HYDROGRAPHIC PRODUCTS General § 995.6 Fees. (a) The Office of Coast Survey, NOAA, may charge a fee for costs incurred to process...

  10. 15 CFR 996.23 - Audit and decertification of hydrographic products.

    Code of Federal Regulations, 2013 CFR

    2013-01-01

    ... ASSURANCE AND CERTIFICATION REQUIREMENTS FOR NOAA HYDROGRAPHIC PRODUCTS AND SERVICES QUALITY ASSURANCE AND CERTIFICATION REQUIREMENTS FOR NOAA HYDROGRAPHIC PRODUCTS AND SERVICES Certification of a Hydrographic Product and Decertification. § 996.23 Audit and decertification of hydrographic products. (a) NOAA may audit...

  11. 15 CFR 996.1 - Purpose and scope.

    Code of Federal Regulations, 2013 CFR

    2013-01-01

    ... REQUIREMENTS FOR NOAA HYDROGRAPHIC PRODUCTS AND SERVICES QUALITY ASSURANCE AND CERTIFICATION REQUIREMENTS FOR NOAA HYDROGRAPHIC PRODUCTS AND SERVICES General § 996.1 Purpose and scope. The National Oceanic and Atmospheric Administration (NOAA) was mandated to develop and implement a quality assurance program that is...

  12. 15 CFR 923.96 - Grant amendments.

    Code of Federal Regulations, 2014 CFR

    2014-01-01

    ... Assistant Administrator and approved in writing by the NOAA Grants Officer prior to initiation of the...) NOAA shall acknowledge receipt of the grantee's request within the ten (10) working days of receipt of the correspondence. This notification shall indicate NOAA's decision regarding the request; or...

  13. 15 CFR 996.23 - Audit and decertification of hydrographic products.

    Code of Federal Regulations, 2014 CFR

    2014-01-01

    ... ASSURANCE AND CERTIFICATION REQUIREMENTS FOR NOAA HYDROGRAPHIC PRODUCTS AND SERVICES QUALITY ASSURANCE AND CERTIFICATION REQUIREMENTS FOR NOAA HYDROGRAPHIC PRODUCTS AND SERVICES Certification of a Hydrographic Product and Decertification. § 996.23 Audit and decertification of hydrographic products. (a) NOAA may audit...

  14. 15 CFR 996.21 - Performance of compliance testing.

    Code of Federal Regulations, 2013 CFR

    2013-01-01

    ... CERTIFICATION REQUIREMENTS FOR NOAA HYDROGRAPHIC PRODUCTS AND SERVICES QUALITY ASSURANCE AND CERTIFICATION REQUIREMENTS FOR NOAA HYDROGRAPHIC PRODUCTS AND SERVICES Certification of a Hydrographic Product and Decertification. § 996.21 Performance of compliance testing. (a) NOAA and the applicant shall submit the applicant...

  15. 15 CFR 995.6 - Fees.

    Code of Federal Regulations, 2012 CFR

    2012-01-01

    ... ATMOSPHERIC ADMINISTRATION, DEPARTMENT OF COMMERCE QUALITY ASSURANCE AND CERTIFICATION REQUIREMENTS FOR NOAA HYDROGRAPHIC PRODUCTS AND SERVICES CERTIFICATION REQUIREMENTS FOR DISTRIBUTORS OF NOAA HYDROGRAPHIC PRODUCTS General § 995.6 Fees. (a) The Office of Coast Survey, NOAA, may charge a fee for costs incurred to process...

  16. 15 CFR 923.96 - Grant amendments.

    Code of Federal Regulations, 2012 CFR

    2012-01-01

    ... Assistant Administrator and approved in writing by the NOAA Grants Officer prior to initiation of the...) NOAA shall acknowledge receipt of the grantee's request within the ten (10) working days of receipt of the correspondence. This notification shall indicate NOAA's decision regarding the request; or...

  17. 15 CFR 996.23 - Audit and decertification of hydrographic products.

    Code of Federal Regulations, 2012 CFR

    2012-01-01

    ... ASSURANCE AND CERTIFICATION REQUIREMENTS FOR NOAA HYDROGRAPHIC PRODUCTS AND SERVICES QUALITY ASSURANCE AND CERTIFICATION REQUIREMENTS FOR NOAA HYDROGRAPHIC PRODUCTS AND SERVICES Certification of a Hydrographic Product and Decertification. § 996.23 Audit and decertification of hydrographic products. (a) NOAA may audit...

  18. 15 CFR 996.21 - Performance of compliance testing.

    Code of Federal Regulations, 2012 CFR

    2012-01-01

    ... CERTIFICATION REQUIREMENTS FOR NOAA HYDROGRAPHIC PRODUCTS AND SERVICES QUALITY ASSURANCE AND CERTIFICATION REQUIREMENTS FOR NOAA HYDROGRAPHIC PRODUCTS AND SERVICES Certification of a Hydrographic Product and Decertification. § 996.21 Performance of compliance testing. (a) NOAA and the applicant shall submit the applicant...

  19. 15 CFR 996.32 - Appeals.

    Code of Federal Regulations, 2014 CFR

    2014-01-01

    ... REQUIREMENTS FOR NOAA HYDROGRAPHIC PRODUCTS AND SERVICES QUALITY ASSURANCE AND CERTIFICATION REQUIREMENTS FOR NOAA HYDROGRAPHIC PRODUCTS AND SERVICES Other Quality Assurance Program Matters § 996.32 Appeals. (a... Coastal Zone Management, NOAA, using procedures to be established at the time of the appeal, and which...

  20. 15 CFR 996.30 - Use of the NOAA emblem.

    Code of Federal Regulations, 2010 CFR

    2010-01-01

    ...) NATIONAL OCEANIC AND ATMOSPHERIC ADMINISTRATION, DEPARTMENT OF COMMERCE QUALITY ASSURANCE AND CERTIFICATION REQUIREMENTS FOR NOAA HYDROGRAPHIC PRODUCTS AND SERVICES QUALITY ASSURANCE AND CERTIFICATION REQUIREMENTS FOR NOAA HYDROGRAPHIC PRODUCTS AND SERVICES Other Quality Assurance Program Matters § 996.30 Use of the...

Top