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Development and Transition of Satellite Products for SPoRT FY06 Plans

Development and Transition of Satellite Products for SPoRT FY06 Plans Prototype product development Transition to operations. Prototype Product Development Refining capabilities to demonstrate feasibility of linking EOS observations to short-term weather forecast problems.

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Development and Transition of Satellite Products for SPoRT FY06 Plans

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  1. Development and Transition of Satellite Products for SPoRT • FY06 Plans • Prototype product development • Transition to operations

  2. 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

  3. 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

  4. CLOUD-FREE CHANNELS (%) Radiance Data Assimilation Use CO2 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 CO2 absorption continuum • Validate technique based on CTPs from MODIS cloud product and CloudSat/CALIPSO • Extend technique to WV channels

  5. Low Cloud High Cloud Clear CO2 Sorting Approach In a low-cloud IFOV (column 2), all of the bands denoted by the red weighting functions can be used • 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

  6. 3DVAR Radiance Data Assimilation (SPoRT) 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

  7. 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

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