Earth-Sun System Division National Aeronautics and Space Administration SPoRT SAC Nov 21-22, 2005 Development and Transition of Satellite Products for SPoRT FY06 Plans Prototype product development Transition to operations
Earth-Sun System Division National Aeronautics and Space Administration SPoRT SAC Nov 21-22, 2005 Prototype Product Development Refining capabilities to demonstrate feasibility of linking EOS observations to short-term weather forecast problems AIRS profile assimilation – ADAS / WRF optimize procedures based on representitiveness of profiles utilize advanced AIRS quality indicators for temperature and moisture (vers. 5.x of retrieval code) regional case studies over SEUS Radiance data assimilation – Cloud free channels, appropriate resolution, smart data thinning 4DVAR (FSU) – use of MODIS cloud pressure data 3DVAR (in-house - McCarty) – NASA Fellowship – CO2 sorting to detect cloud-free channels – collaborate with GMAO/JCSDA AIRS data thinning – profiles and radiances smart thinning based on meteorology, data types, data spacing MODIS composite SST product – AMSR-E data, expand region for more applications
Earth-Sun System Division National Aeronautics and Space Administration SPoRT SAC Nov 21-22, 2005 Radiance Data Assimilation Collaborations with Xiaolei Zou (FSU) have illuminated greater understanding of the radiance data assimilation problem FSU is implementing a 4DVAR approach with the MM5 Developed adjoint RTM and integration into MM5 Adjoint Modeling System (MM5-AMS) Conducted sensitivity studies with AIRS channels to verify adjoint Preliminary FSU work single fov, few channels cloud-free radiances- total column clear based on MODIS data <5% data coverage – min. impact Current FSU activity MODIS CTP to determine cloud-free channels above low clouds additional channels
Earth-Sun System Division National Aeronautics and Space Administration SPoRT SAC Nov 21-22, 2005 Radiance Data Assimilation Use CO 2 sorting approach to explicitly identify channels contaminated by clouds (SPoRT – McCarty NASA Fellowship) 3DVAR approach requires cloud-free radiances – total column clear requirement eliminates most data Short term goals: increase the amount of cloud-free AIRS radiance data available for assimilation by including data above clouds significant increase in radiances add data in meteorologically significant regions (above clouds) Refine sorting technique for 15 m CO 2 absorption continuum Validate technique based on CTPs from MODIS cloud product and CloudSat/CALIPSO Extend technique to WV channels CLOUD-FREE CHANNELS (%)
Earth-Sun System Division National Aeronautics and Space Administration SPoRT SAC Nov 21-22, 2005 CO 2 Sorting Approach In a low-cloud IFOV (column 2), all of the bands denoted by the red weighting functions can be used Clear Low Cloud High Cloud The position of the separation point is a function of cloud top pressure and the magnitude of the separation is a function of effective cloud fraction The clear scene is dependant on a background field and determined by radiative transfer calculations
Earth-Sun System Division National Aeronautics and Space Administration SPoRT SAC Nov 21-22, 2005 Improved set of AIRS cloud-free radiances used for 3DVAR Gridpoint Statistical Interpolation (GSI) system and WRF GSI is supported by the JCSDA and the GMAO McCarty to the JCSDA / GMAO in the Summer of 2006 develop working understanding of GSI / WRF work collaboratively to develop improved implementation of CO2 sorting approach Implement enhanced CO2 sorting and 3DVAR code at SPoRT 3DVAR Radiance Data Assimilation (SPoRT)
Earth-Sun System Division National Aeronautics and Space Administration SPoRT SAC Nov 21-22, 2005 Transition to Operations Transfer viable prototype capabilities to operational setting Continue transition of MODIS / AMSR-E data and products to coastal Florida WFOs – Limited products to support specific problem areas Jacksonville, Melbourne Spaceflight Meteorology Group (Houston) for shuttle support benchmark few selected products/capabilities Transition selected NESDIS products for operational demonstration work with ORA / others to identify products develop transitional methodologies