A008-0006
Enhancing Evapotranspiration Data Product from GOES-16/17 Advance Baseline Imagers for NOAA NWP, NWM and Drought Monitoring Operations

Monday, 7 December 2020
Poster
Li Fang, NOAA, College Park, MD, United States, Mitchell Schull, University of Maryland, Earth System Science Interdisciplinary Center, College Park, MD, United States, Xiwu Zhan, NOAA/NESDIS/STAR, College Park, MD, United States, Satya Kalluri, NOAA College Park, College Park, MD, United States, Christopher Hain, NASA Marshall Space Flight Center, Huntsville, AL, United States, Martha Anderson, USDA ARS Hydrology and Remote Sensing Laboratory, Beltsville, MD, United States and Istvan Laszlo, Univ Maryland, College Park, MD, United States
Abstract:
Evapotranspiration (ET) is a major component of the global and regional water cycle. Accurate estimation of ET is needed for numerical weather and water prediction models. An operational GOES ET and Drought (GET-D) product system has been developed by NESDIS of NOAA for numerical weather prediction (NWP) and water model validation, data assimilation and for drought monitoring. The GET-D system was generating ET and Evaporative Stress Index (ESI) maps at 4-8km spatial resolution using thermal infrared (TIR) observations from the Imagers on GOES-13 and GOES-15 satellites before the primary operational GOES satellites transitioned to GOES-16 and GOES-17. The Advanced Baseline Imagers (ABIs) on the new generation of NOAA geostationary operational satellites (GOES-16 and GOES-17) allow the GET-D system to be significantly enhanced with higher spatial resolution and better accuracy that are needed for NOAA numerical weather, climate, and water models. With the upgraded GET-D we generate ET products using ABI observations at 2 km spatial resolution covering the continental United States. The GET-D software package is also upgraded with the recent improvements to the ALEXI model. The advances include using Ka-band AMSR2 observations on cloudy days when the GOES TIR observations are not available. This presentation will demonstrate the most recent results from the new GET-D product system with ET retrievals validated against ground measurements. Further algorithm improvements, system enhancement and application plans will be discussed.