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Enhancement of CrIMSS EDR retrievals through the bias-tuning procedures

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Wednesday, 26 January 2011
Enhancement of CrIMSS EDR retrievals through the bias-tuning procedures
Washington State Convention Center
Guang Guo, Riverside Technology, Silver Spring, MD; and C. D. Barnet, M. Goldberg, M. G. Divakarla, A. Gambacorta, N. Nalli, J. Wei, X. Liu, and S. Kizer

Pre-launch evaluation and validation efforts of the Joint Polar Satellite System (JPSS,formerly the NPOESS PM orbit ) Cross-track Infrared Microwave Sounding Suite (CrIMSS) Environmental Data Records (EDRs) algorithms are underway at National Oceanic and Atmospheric Administration (NOAA)/Center for Satellite Applications and Research (STAR). This work is being conducted using Cross-track Infrared Sounder (CrIS) and Advanced Technology Microwave Sounder (ATMS) proxy data-sets derived from Infrared Atmospheric Sounding Interferometer (IASI) and Advanced Microwave Sounding Unit (AMSU)/Microwave Humidity Sounding (MHS) data for an arbitrary global “Focus Day” (19-Oct-07), as well for a marine-based field campaign of opportunity (the 2010 NOAA Aerosols and Ocean Science Expedition, AEROSE). The proxy datasets and off-line version of the operational CrIMSS EDR algorithm are developed by the JPSS Cal/Val team. The validation of CrIMSS proxy Atmospheric Vertical Temperature and Moisture Profile products (AVTP and AVMP, respectively) includes comparisons against matched European Center for Medium-Range Weather Forecast (ECMWF) analysis fields, NOAA/STAR IASI Level 2 (L2) EDR products, and collocated RAOBs. It is anticipated that radiance bias-tuning procedures which are currently being used in IASI L2 product retrievals at NOAA will enhance the performance of CrIMSS EDR products. This presentation focuses on the CrIMSS radiance bias-tuning methodology at NOAA/STAR. In this endeavor, the stand-alone Optimal Spectral Sampling (OSS) microwave and infrared components were developed based on the CrIMSS EDR operational algorithm and the English model was used to generate the surface emissivity. The OSS models and ECMWF data were in turn used in the bias-tuning procedures. The EDR comparisons before and after the bias-tuning will be presented to demonstrate the bias-tuning effects and expected performance of the CrIMSS EDRs.