All-Weather Daily Evapotranspiration Data Product Based on Microwave and Thermal Infrared Satellite Observations

• Published in: 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS pp. 6451 - 6454
• Main Authors: Fang, Li, Zhan, Xiwu, Schull, Mitch, Kalluri, Satya, Hain, Chris, Anderson, Martha, Laszlo, Istvan
• Format: Conference Proceeding
• Language: English
• Published: IEEE 11.07.2021
• Subjects: Clouds; evapotranspiration (ET); GOES-R; machine learning; Numerical models; Pollution measurement; Predictive models; Satellites; US Government agencies; Weather forecasting
• ISSN: 2153-7003
• DOI: 10.1109/IGARSS47720.2021.9554948

An operational GOES ET and Drought (GET-D) product system has been developed at NESDIS of NOAA for numerical weather prediction (NWP), national water model validation, and drought monitoring. The GET-D system was generating ET and Evaporative Stress Index (ESI) maps at 8 km spatial resolution using thermal infrared (TIR) observations from the Imagers on GOES-13 and GOES-15 satellites. With the primary operational GOES satellites transitioned to GOES-16 and GOES-17 with the Advanced Baseline Imagers (ABI), the GET-D system is being upgraded to seamlessly generate ET products using ABI observations from GOES-16/17 at high special resolution of up to 2 km. The new ET product will be comprehensively validated using ground ET measurements. Moreover, AMSR2 Ka band observations will be coupled with the GOES TIR channel using machine learning technique to fill in cloudy pixels where current ET retrievals cannot be obtained because of cloud contamination. The all-weather ET product will also be validated against in-situ observations. Preliminary validation results will be presented in this paper.