The NOAA/NASA/DOD Joint Center for Satellite Data Assimilation (JCSDA) is a distributed center that engages units of NASA: Goddard Space Flight Center (GSFC) Earth-Sun Exploration Division; NOAA: NESDIS Center for Satellite Applications and Research (STAR) , National Weather Service (NWS) National Centers for Environmental Prediction (NCEP), and Office of Oceanic and Atmospheric Research (OAR); US Navy: Oceanographer of the Navy and the Naval Research Laboratory (NRL); and US Air Force Air Weather Agency. The Joint Center's goal is to accelerate the abilities of NOAA, DOD, and NASA to ingest and effectively use the large volumes of data from current satellite-based instruments and planned satellite missions.
Program Goals
Fundamental scientific improvements to the Community Radiative Transfer Model (CRTM). Projects in this category will be expected to identify actual and recognized shortcomings in the CRTM. Coordination with the CRTM technical team is suggested.
Tackle the issue of bias error characterization of satellite data, in cloudy and rainy conditions. This issue is considered critical in the proper handling of cloud and rain-impacted radiances in data assimilation systems.
Optimization of the assimilation of DMSP SSMI/S data. Projects selected in this category will be expected to be complementary to existing projects funded under other programs.
Assimilation of GPM sensors (passive and active). Projects in this category are encouraged to design scientific techniques, modules, that could be applied generically to similar sensors (such as GCOM-W AMSR2).
Accelerate GOES-R data assimilation readiness (data such as radiances, AMVs, etc) from both ABI and GLM sensors. Projects selected in this category will be expected to be complementary to existing projects funded under other programs and use real data as proxy to GOES-R from GOES and Himawari-8 satellites.
Optimization of the SNPP sensors data assimilation (ATMS, CrIS, VIIRS, OMPS) in preparation for the assimilation of data from JPSS sensors. Projects selected in this category will be expected to be complementary to already funded projects funded under other programs.