@inproceedings{9cca4d0c455840ec9a89478b029945a4,
title = "All-Weather Geophysical Model Function for Wind Speed Retrievals from AMSR2",
abstract = "This paper describes the development of a new all-weather geophysical model function (AW-GMF) for the purpose of retrieving sea surface wind (SSW) under all weather conditions. The AW-GMF makes use of the Advanced Microwave Scanning Radiometer-2 (AMSR2) dual-polarized C-, X-, and K-band channels. We show how the linear combination of these channels significantly mitigate the effect of rain contamination while maintaining sensitivity to SSW regimes including tropical and extra-tropical cyclones. AW-GMF was trained using 750 AMSR2 hurricane overpasses from 2013-2021. The Global Data Assimilation System (GDAS) 0.25° resolution product and the Hurricane Weather Research and Forecasting Model (HWRF) were used as the assumed surface truth. Preliminary results show that SSW retrievals using the AW-GMF are much less susceptible to rain and capable of retrieving hurricane force winds.",
keywords = "all-weather, AMSR2, geophysical model function, microwave radiometry, tropical cyclones, wind speed",
author = "Suleiman Alsweiss and Zorana Jelenak and Paul Chang",
note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 2022 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2022 ; Conference date: 17-07-2022 Through 22-07-2022",
year = "2022",
doi = "10.1109/IGARSS46834.2022.9884002",
language = "English",
series = "International Geoscience and Remote Sensing Symposium (IGARSS)",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "6915--6918",
booktitle = "IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium",
address = "United States",
}