A wind field retrieval method based on the expected NRCS

Yan Wang; Xupu Geng; Yan Li; Shaoping Shang; Zhigang He; Yanshuang Xie; Guomei Wei; Dongsheng Liu

doi:10.1117/12.3019434

23 January 2024 A wind field retrieval method based on the expected NRCS

Yan Wang, Xupu Geng, Yan Li, Shaoping Shang, Zhigang He, Yanshuang Xie, Guomei Wei, Dongsheng Liu

Proceedings Volume 12978, Fourth International Conference on Geology, Mapping, and Remote Sensing (ICGMRS 2023); 129780V (2024) https://doi.org/10.1117/12.3019434
Event: 2023 4th International Conference on Geology, Mapping and Remote Sensing (ICGMRS 2023), 2023, wuhan, China

Abstract

China has developed two miniaturized synthetic aperture radar (SAR) satellites called HiSea-1 and Chaohu-1. These satellites, which were launched in December 2020 and February 2022, respectively, can obtain high-resolution sea surface wind fields in day and night conditions. In a recent study, the Cross-Calibrated Multi-Platform (CCMP) wind vector, SAR look direction, and SAR incidence angle were used as inputs into CMOD5.N to output an expected σ₀. The wind field was then retrieved from a matrix determined by SAR-measured σ₀ and the expected σ₀. This method was applied to 90 HiSea-1 and Chaohu-1 SAR images. The retrieved wind speeds were compared with the ECMWF Reanalysis v5 (ERA5) reanalysis data. The root-mean-square error (RMSE) and mean bias error (MBE) were found to be 0.98 m/s and -0.02 m/s, respectively.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Yan Wang, Xupu Geng, Yan Li, Shaoping Shang, Zhigang He, Yanshuang Xie, Guomei Wei, and Dongsheng Liu "A wind field retrieval method based on the expected NRCS", Proc. SPIE 12978, Fourth International Conference on Geology, Mapping, and Remote Sensing (ICGMRS 2023), 129780V (23 January 2024); https://doi.org/10.1117/12.3019434

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