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  • GOES Activities -- CIMSS/SSEC
    Applets Useful teaching applets from T Whittaker of SSEC GOES Weighting Functions page Information describing GOES weighting functions WF are and real time plots of WF at various locations in the US Satellite Meteorology for Grades 7 12 Developed for middle and high school science classes it is an excellent resource for educators and anyone interested in learning more about satellite meteorology Virtual Institute for Satellite Integration Training VISIT a

    Original URL path: http://cimss.ssec.wisc.edu/goes/education.html (2012-11-14)
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  • GOES Activities -- CIMSS/SSEC
    including channel information spectral response graphs and so on Satellite checkout reports GOES 10 Science Report GOES 11 Science Report GOES 12 Science Report GOES 13 Science Report GOES 14 Science Report GOES 15 Science Report GOES Weighting Functions Frequently Asked Questions FAQ Application of GOES 8 9 Soundings to Weather Forecasting and Nowcasting Oct 1998 BAMS Automated GOES Sounder Products Mar 1997 Asheville A Nonlinear Physical Retrieval Algorithm Its

    Original URL path: http://cimss.ssec.wisc.edu/goes/techinfo.html (2012-11-14)
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  • GOES Activities -- CIMSS/SSEC
    images from the National Climatic Data Center Imagery from RAMSDIS Online at CIRA CSU NOAA NESDIS ORA Operational Products Development Branch NOAA NESDIS OSDPD Satellite Services Division Operational Significant Events Imagery from the NOAA NESDIS Satellite Services Division Real time satellite images from NASA GHCC Space imagery Planetary Images from SSEC Outreach at the University of Wisconsin Madison PhotoJournal of the Planets from NASA JPL Solar system simulator from NASA

    Original URL path: http://cimss.ssec.wisc.edu/goes/links.html (2012-11-14)
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  • GOES Activities -- CIMSS/SSEC
    observations to improve forecasts of severe weather and improve out understanding of environmental systems One major thrust of this work is to improve our understanding and prediction of hurricanes where GOES data is a crucial component Another research project uses GOES to detect large fires throughout the western hemisphere This study helps improve forecasts of the transport of aerosols and other contaminants an environmental hazard to public health This research project also continues a long term record of biomass burning to assess its impact on issues such as deforestation and climate change Newer initiatives for early detection of developing thunderstorms and volcanic ash show great promise Current GIMPAP projects and the task leader s at CIMSS include Development of GOES Single Field of View SFOV cloudy sounding product Jun Li Tim Schmit GOES Atmospheric Motion Vectors AMV Research Chris Velden GOES Tropical Cyclone Applications Research Chris Velden Analysis and Application of GOES IR Imagery Toward Improving Hurricane Intensity Change Prediction Jim Kossin Intercalibration Mat Gunshor Tim Schmit Global Geostationary Fire Monitoring and Applications Chris Schmidt Automated Volcanic Ash Detection and Volcanic Cloud Height and Mass Loading Retrievals from the GOES Imager Mike Pavolonis Justin Sieglaff Improvement and Validation of Convective

    Original URL path: http://cimss.ssec.wisc.edu/goes/gimpap/ (2012-11-14)
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  • GOES Activities -- CIMSS/SSEC
    A key aspect of applied research is developing methods techniques and products that are useful to society including operational centers charged with informing and warning the public The Geostationary PSDI project supports research and development activities that have a likelihood to become useful products in the near future Current G PSDI projects and the task leader s at CIMSS include GOES O Wildfire ABBA Chris Schmidt GOES O Checkout Mat

    Original URL path: http://cimss.ssec.wisc.edu/goes/gpsdi.html (2012-11-14)
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  • GOES Activities -- CIMSS/SSEC
    of the Cooperative Institute for Meteorological Satellite Studies CIMSS at the University of Wisconsin Madison performs pioneering research in the use of tools data and techniques that advance the visualization of atmospheric data and support distance learning activities in the atmospheric sciences The National Weather Service in the United States as well as the World Meteorological Organization and weather services in other countries have used this research to decentralize their training activities for their respective constituents The freely available VISITview software continues to evolve as community feedback is received To date more than 14 000 people throughout the world have used VISITview for collaborative and distance learning activities It has been adopted for use by the World Meteorological Organization the U S National Weather Service as well as the national meteorological organizations in Finland and Australia The effective collaboration capability of VISITview was recognized during the High Profile Training Event conducted in 2006 A primary objective of this VISIT work is to effectively integrate and maximize the use and benefits of GOES Geostationary Operational Environmental Satellite and POES Polar Orbiting Environmental Satellite meteorological satellite imager and sounder data into the weather analysis forecast and storm warning decision making processes The

    Original URL path: http://cimss.ssec.wisc.edu/goes/visit.html (2012-11-14)
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  • GOES-R -- CIMSS
    ensure timely efficient integration of the improvements into NWS NESDIS and other NOAA Line Office operations This plan involves investigating the GOES R derived meteorological oceanic and terrestrial products and their operational utility The Cooperative Institute for Meteorological Satellite Studies CIMSS at UW Madison is participating in these activities by conducting research in the following areas Algorithm Development CIMSS is developing algorithms that will be used to produce improved meteorological

    Original URL path: http://cimss.ssec.wisc.edu/goes_r/risk-reduction.html (2012-11-14)
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  • GOES-R -- CIMSS
    system will be conducted at CIMSS to demonstrate the improved or new products from the HES system over the current GOES sounder system The results from these studies will offer better understanding of future GOES HES observing systems Trade off studies Trade off studies will help to understand the HES for future weather forecast purposes The requirements include but are not limited to the spatial resolution the temporal resolution the spectral coverage the spectral resolution the instrument noise performance etc for HES The trade off studies will also help to determine be final formation of the HES Comparison of the HES improved products with current GOES sounder products and investigation of the new products with the HES observing system Because of the high spectral resolution and wide geographical coverage of HES the high spatial resolution ABI with more spectral bands and high ABI HES radiometric resolution the derived products such as atmospheric profile trace gas surface and cloud properties aerosol dust etc from ABI HES system will be improved compared with those from the current GOES imager sounder system What will be the improvements How these improvements will benefit weather monitoring and forecasting These questions will be answered by both simulation studies and the real data demonstration using the EOS Aqua MODIS AIRS system In addition the ABI HES will provide new products such as ozone profile accurate surface and cloud types accurate cloud microphysical properties such as cloud particle size and cloud optical thickness These new products from ABI HES and their potential applications will be investigated Algorithms for ABI HES synergism The algorithm for the ABI HES synergistic retrieval should be efficient and accurate Algorithms for ABI will be adapted and refined from the current GOES imager and MODIS new algorithms will also be developed for ABI products

    Original URL path: http://cimss.ssec.wisc.edu/goes_r/trade_studies/ (2012-11-14)
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