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Development and Transition of Satellite Products for SPoRT FY06 Plans

Enhancing prototype product development using satellite observations to improve short-term weather forecasting. Collaboration with experts for data assimilation and sorting techniques, aiming for operational transition. Research includes radiance data assimilation, CO2 sorting, and improving data thinning techniques.

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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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