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MODIS Atmosphere Group Summary Collection 5 Status Collection 5 Status  Summary of modifications and enhancements in collection 5 (mostly covered in posters)

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Presentation on theme: "MODIS Atmosphere Group Summary Collection 5 Status Collection 5 Status  Summary of modifications and enhancements in collection 5 (mostly covered in posters)"— Presentation transcript:

1 MODIS Atmosphere Group Summary Collection 5 Status Collection 5 Status  Summary of modifications and enhancements in collection 5 (mostly covered in posters)  Ready to commence in early April  Identified enhancements identified for collection 6 Data Use/Validation Investigations Data Use/Validation Investigations  25 presentations  New uses of MODIS data Direct Broadcast Direct Broadcast  Exploding use of MODIS data worldwide  New software planned for AIRS and MODIS data this year

2 Collection 5 Software Updates All Software has been delivered to SDST/MODAPS All Software has been delivered to SDST/MODAPS  Science test 4 completed Monday Major enhancements in cloud mask (especially nighttime and polar regions) Major enhancements in cloud mask (especially nighttime and polar regions) Cloud product uses new ice crystal libraries, better phase determination, atmosphere/land surface reflectance product, improved atmospheric correction, uncertainties in cloud optical thickness, effective radius, and water path, and improved cloud top pressure (especially for low clouds) Cloud product uses new ice crystal libraries, better phase determination, atmosphere/land surface reflectance product, improved atmospheric correction, uncertainties in cloud optical thickness, effective radius, and water path, and improved cloud top pressure (especially for low clouds) Aerosol product uses new spatial variability to improve screening of heavy aerosol and clouds, better regional characterization of aerosol optical properties Aerosol product uses new spatial variability to improve screening of heavy aerosol and clouds, better regional characterization of aerosol optical properties Water vapor over high dry regions, like Tibet, improved in near- infrared algorithm Water vapor over high dry regions, like Tibet, improved in near- infrared algorithm Collection 6 enhancements identified for aerosol, including new Deep Blue algorithm for bright desert regions Collection 6 enhancements identified for aerosol, including new Deep Blue algorithm for bright desert regions All Software has been delivered to SDST/MODAPS All Software has been delivered to SDST/MODAPS  Science test 4 completed Monday Major enhancements in cloud mask (especially nighttime and polar regions) Major enhancements in cloud mask (especially nighttime and polar regions) Cloud product uses new ice crystal libraries, better phase determination, atmosphere/land surface reflectance product, improved atmospheric correction, uncertainties in cloud optical thickness, effective radius, and water path, and improved cloud top pressure (especially for low clouds) Cloud product uses new ice crystal libraries, better phase determination, atmosphere/land surface reflectance product, improved atmospheric correction, uncertainties in cloud optical thickness, effective radius, and water path, and improved cloud top pressure (especially for low clouds) Aerosol product uses new spatial variability to improve screening of heavy aerosol and clouds, better regional characterization of aerosol optical properties Aerosol product uses new spatial variability to improve screening of heavy aerosol and clouds, better regional characterization of aerosol optical properties Water vapor over high dry regions, like Tibet, improved in near- infrared algorithm Water vapor over high dry regions, like Tibet, improved in near- infrared algorithm Collection 6 enhancements identified for aerosol, including new Deep Blue algorithm for bright desert regions Collection 6 enhancements identified for aerosol, including new Deep Blue algorithm for bright desert regions

3 Mt. Hekla Eruption (Matthew Watson, Michigan Technological University) MODIS RGB (7.3, 11, 12 µm)

4 0.0 1.0 2.0 Aqua AOT 1:30 PM LST 9/12/04MODIS/Aqua 0.0 1.0 2.0 Terra AOT 10:30 AM LST MODIS/Terra – 12 September 2004 9/12/04 Tracking Movements and Evolution of Aerosol (Christina Hsu, Goddard Space Flight Center)

5 Miscellaneous Progress Direct Broadcast exploding internationally Direct Broadcast exploding internationally  New software at Wisconsin will incorporate MODIS cloud, snow, reflectance, and BRDF products, AMSR-E precip, and high resolution AIRS/MODIS analysis in 2005  Kenya has a direct broadcast receiving station in Malindi Data received on ground and sent by tape to Rome Data received on ground and sent by tape to Rome Unknown facility by NASA or Wisconsin/IMAPP group Unknown facility by NASA or Wisconsin/IMAPP group Applications Applications  IDEA project (NOAA/NASA/EPA) use of MODIS data and PM2.5 to input into air quality monitoring in US  MODIS polar winds being used by ECMWF, GMAO, NCEP (June), Japan, and Canada Modeling activities Modeling activities  Several data assimilation and modeling investigations described that are showing great progress Direct Broadcast exploding internationally Direct Broadcast exploding internationally  New software at Wisconsin will incorporate MODIS cloud, snow, reflectance, and BRDF products, AMSR-E precip, and high resolution AIRS/MODIS analysis in 2005  Kenya has a direct broadcast receiving station in Malindi Data received on ground and sent by tape to Rome Data received on ground and sent by tape to Rome Unknown facility by NASA or Wisconsin/IMAPP group Unknown facility by NASA or Wisconsin/IMAPP group Applications Applications  IDEA project (NOAA/NASA/EPA) use of MODIS data and PM2.5 to input into air quality monitoring in US  MODIS polar winds being used by ECMWF, GMAO, NCEP (June), Japan, and Canada Modeling activities Modeling activities  Several data assimilation and modeling investigations described that are showing great progress


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