edu.ucar.opensky::articles:26356 UCAR/NCAR - Library OpenSky Support PO Box 3000 Boulder CO 80307-3000 opensky@ucar.edu http://opensky.ucar.edu/ homepage pointOfContact 2025-12-24T19:35:47.136673 ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data ISO 19115-2:2009(E) https://n2t.org/ark:/85065/d7vq36pq Extending the usability of radiometer ocean surface wind measurements to all-weather conditions for NOAA operations: Application to AMSR2 2023-04-01T00:00:00Z publication https://n2t.org/ark:/85065/d7vq36pq https://doi.org/10.1109/TGRS.2023.3266772 Alsweiss, S. author Jelenak, Zorana author Chang, P. S. author UCAR/NCAR - Library publisher This article describes the development and validation of a statistical algorithm to retrieve global all-weather sea surface wind speed (GAWS) from microwave radiometers in operational environment. Measurements from the Advanced Microwave Scanning Radiometer-2 (AMSR2) are utilized to demonstrate the efficacy of the new all-weather wind speed data product. The GAWS algorithm exploits the linear combination of dual-polarized radiometer channels to significantly mitigate the effect of rain contamination while maintaining sensitivity to all wind speed regimes from global winds to tropical cyclone (TC) conditions. The GAWS algorithm was developed using approximate to 1000 AMSR2 orbits from 2013 to 2021 covering all possible variations of brightness temperatures and wind speeds. The Global Data Assimilation System (GDAS) and the Hurricane Weather Research and Forecasting Model (HWRF) were used as the assumed surface truth for training and validation. Results from comprehensive quantitative and qualitative analyses show that the GAWS retrievals are less susceptible to rain than standard microwave radiometer wind speeds and can reach hurricane force winds up to hurricane category 5 (>70 m/s). UCAR/NCAR - Library OpenSky Support PO Box 3000 Boulder CO 80307-3000 opensky@ucar.edu http://opensky.ucar.edu/ homepage pointOfContact PDF Text theme Resource Type 2016-01-01T00:00:00Z publication Copyright 2023 IEEE None eng geoscientificInformation