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Retrieval of Real-time Vertical Temperature and Moisture Profiles from Current GOES Sounders

Retrieval of Real-time Vertical Temperature and Moisture Profiles from Current GOES Sounders. Gary S. Wade 1 [Government Principal Investigator] , James P. Nelson III 2 , Zhenglong Li 2 , Timothy J. Schmit 1 , and Jun Li 2 ( 1 NOAA/NESDIS/StAR/CoRP/ASPB, 2 CIMSS, Madison, WI).

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Retrieval of Real-time Vertical Temperature and Moisture Profiles from Current GOES Sounders

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  1. Retrieval of Real-time Vertical Temperature and Moisture Profiles from Current GOES Sounders Gary S. Wade1 [Government Principal Investigator], James P. Nelson III2, Zhenglong Li2, Timothy J. Schmit1, and Jun Li2 (1 NOAA/NESDIS/StAR/CoRP/ASPB, 2 CIMSS, Madison, WI) Requirement:Under the NOAA Mission Support objective, we seek to increase the quality and accuracy of satellite data, which then also contributes to the NOAA Weather and Water objective of improving the predictability of hazardous and severe weather and water events. Science: Can accurate, useful vertical profiles of temperature and moisture be retrieved from radiances, routinely (and frequently) observed in the 18 infrared spectral bands of the GOES Sounder at modest horizontal scaling? Benefit: We provide forecasters (e.g. NWS) with near-real time atmospheric profiles (and their associated stability characteristics) to augment in-situ and other remotely sensed vertical profiles for improved 4-D atmospheric analyses, which are critical for improvements in human and numerical forecasts of weather, water, and air quality parameters. Science Challenges:Radiances from infrared filter wheel radiometers provide only limited solutions for vertical profile retrieval. As US geostationary sounders (and multi-spectral imagers) will apparently continue into the next decade with only the filter wheel design (i.e. not an interferometer), improvement, optimization, and implementation of the current GOES Sounder retrieval algorithm remain relevant. Next Steps:Incremental improvements (in mathematical retrieval techniques, radiance bias adjustments, and use of ancillary data) are to be incorporated and implemented into the research retrieval processing system and assessed with respect to in-situ and other remotely sensed satellite observations. Transition Path:After verification that new versions of the retrieval program are providing improved profiles, the retrieval code is implemented, first at NOAA/NESDIS/StAR/SMCD/OPDB (into the NOAA environment at WWB), and then at NOAA/NESDIS/OSDPD, for inclusion into the NWS AWIPS (Advanced Weather Interactive Processing System) data stream, for distribution to field and regional forecast offices, as well as, for consideration for assimilation into NOAA numerical weather forecast modeling systems.

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