Intercomparison, Fusion and Application of FY-3E/WindRAD and HY-2B/SCA Ocean Surface Wind Products for Tropical Cyclone Monitoring

Ocean surface wind vector (OWV) is a key variable for ocean remote sensing and tropical cyclone (TC) monitoring. This study presents the first comprehensive intercomparison of Ku-band OWV products from FY-3E/WindRAD and HY-2B/SCA scatterometers using full-year data from 2022 (583,805 spatiotemporal collocations), with both sensors sampling the morning–evening local-time sector in sun-synchronous orbits. Results indicate strong agreement in wind speed (R = 0.95; mean bias −0.47 m/s; RMSE 1.30 m/s) and wind direction (mean bias 0.22°; std 28.13°) for wind speeds ≥ 3.4 m/s (Beaufort scale B3 and above), with the highest consistency across Beaufort scale 3–8 (B3–B8); however, at wind speeds greater than 20.8 m/s (B9) the bias increases. A fusion leveraging FY-3E’s fine resolution and HY-2B’s wide coverage is implemented and applied to Super Typhoon Hinnamnor (2022), enhancing the spatial coverage and structural detail of TC winds. Quadrant 34 kt wind radii (R34) are estimated from the fused wind fields and evaluated against the best-track data from the Joint Typhoon Warning Center (JTWC), showing close agreement during compact, symmetric TC stages but larger differences during structural reorganization. Overall, the findings confirm inter-satellite consistency for the two Chinese scatterometers and demonstrate the practical value of a multi-source fusion approach that benefits TC monitoring, wind radii estimation, and marine weather services.

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Publication Details

Journal
Remote Sensing
Published
2025-11-24
DOI
https://doi.org/10.3390/rs17233809
Primary Topic
Ocean Waves and Remote Sensing
Type
article
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article

Intercomparison, Fusion and Application of FY-3E/WindRAD and HY-2B/SCA Ocean Surface Wind Products for Tropical Cyclone Monitoring

Qian Zhang, Wei Yu, Lina Bai, Xiaoqin Lu et al.
Remote Sensing
Ocean Waves and Remote Sensing
article

Intercomparison, Fusion and Application of FY-3E/WindRAD and HY-2B/SCA Ocean Surface Wind Products for Tropical Cyclone Monitoring

Qian Zhang, Wei Yu, Lina Bai, Xiaoqin Lu, Wei Guo
article en

Abstract

Ocean surface wind vector (OWV) is a key variable for ocean remote sensing and tropical cyclone (TC) monitoring. This study presents the first comprehensive intercomparison of Ku-band OWV products from FY-3E/WindRAD and HY-2B/SCA scatterometers using full-year data from 2022 (583,805 spatiotemporal collocations), with both sensors sampling the morning–evening local-time sector in sun-synchronous orbits. Results indicate strong agreement in wind speed (R = 0.95; mean bias −0.47 m/s; RMSE 1.30 m/s) and wind direction (mean bias 0.22°; std 28.13°) for wind speeds ≥ 3.4 m/s (Beaufort scale B3 and above), with the highest consistency across Beaufort scale 3–8 (B3–B8); however, at wind speeds greater than 20.8 m/s (B9) the bias increases. A fusion leveraging FY-3E’s fine resolution and HY-2B’s wide coverage is implemented and applied to Super Typhoon Hinnamnor (2022), enhancing the spatial coverage and structural detail of TC winds. Quadrant 34 kt wind radii (R34) are estimated from the fused wind fields and evaluated against the best-track data from the Joint Typhoon Warning Center (JTWC), showing close agreement during compact, symmetric TC stages but larger differences during structural reorganization. Overall, the findings confirm inter-satellite consistency for the two Chinese scatterometers and demonstrate the practical value of a multi-source fusion approach that benefits TC monitoring, wind radii estimation, and marine weather services.

Remote SensingVol. 17(23)
China Meteorological Administration (CN), Fudan University (CN), Shanghai Meteorological Bureau (CN)
Openalex Percentile: Top 64%
Ocean Waves and Remote Sensing
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Intercomparison, Fusion and Application of FY-3E/WindRAD and HY-2B/SCA Ocean Surface Wind Products for Tropical Cyclone Monitoring — Qian Zhang, Wei Yu, et al. · Remote Sensing (2025) | TGRS Research Map | TGRS