FY-3E/WindRAD双频散射计海面风场反演和验证
Retrieval and Validation of Ocean Surface Wind Field from FY-3E/WindRAD Dual-frequency Scatterometer
摘要
Abstract
The FY-3E satellite,launched in July 2021,is the first civilian twilight orbit meteorological satellite in the world.The WindRAD dual-frequency scatterometer it carries can detect global ocean surface wind fields.This study first examined the nonlinear relationship between sea surface backscatter and wind field based on FY-3E/WindRAD L1 level observation data and then established geophysical model functions for C-and Ku-band VV/HH polarization wind field retrievals.Using the maximum likelihood estimation method,ocean surface wind fields were retrieved from the WindRAD scatterometer data.The wind field was validated using ocean buoy data,China France Ocean Satellite Scatterometer data,and National Centers for Environmental Prediction(NCEP)wind field data.The results show that the wind speed bias between the WindRAD and buoy data is approximately 0.2 m s−1,and the root-mean-square error(RMSE)is in the range of 1.20-1.44 m s−1,which is better than the 2 m s−1 required for operational applications.The wind direction bias and RMSE are in the range of 1.4°-3.0° and 25.3°-30.1°,respectively.WindRAD and CSCAT satellite wind fields have good consistency,with the RMSE of wind speed being 1.37-1.6 m s−1 and that of wind direction being 22.9°-25.9°.The RMSE between WindRAD and NCEP wind speeds is 1.87-2.23 m s−1,and that of the wind directions is 22.4°-27.1°.These results indicate that sea surface wind fields retrieved from the WindRAD dual-frequency scatterometer data have high accuracy,demonstrating the application potential and value of the WindRAD payload in global sea surface wind field detection.关键词
风云卫星/海面风场/地球物理模式函数/WindRAD/散射计Key words
Fengyun satellite/Ocean surface wind field/Geophysical model function/WindRAD/Scatterometer分类
天文与地球科学引用本文复制引用
方贺,樊高峰,李正泉,陈林,蒋贤玲,张驰,杨劲松..FY-3E/WindRAD双频散射计海面风场反演和验证[J].大气科学,2026,50(1):23-36,14.基金项目
国家自然科学基金42305153,浙江省自然科学基金LZJMZ25D050008、LQ21D060001,浙江省气象局科技项目2024ZDZL04、2023YB06,灾害天气国家重点实验室开放课题 2024LASW-B22,风云卫星先行计划FY-APP-2021.0105,华东区域气象科技协同创新基金QYHZ202307,海南省南海气象防灾减灾重点实验室开放基金项目SCSF202501,台州市台风海洋气象重点实验室开放研究课题2025TTHQZD01,中国气象局青年创新团队CMA2023QN12 Funded by National Natural Science Foundation of China(Grant 42305153),Zhejiang Provincial Natural Science Foundation of China(Grants LZJMZ25D050008,LQ21D060001),Science and Technology Project of Zhejiang Meteorological Bureau(Grants 2024ZDZL04,2023YB06),State Key Laboratory of Severe Weather Open Project(Grant 2024LASW-B22),Fengyun Application Pioneering Project(Grant FY-APP-2021.0105),East China Regional Meteorological Science and Technology Collaborative Innovation(Grant QYHZ202307),Key Laboratory of South China Sea Meteorological Disaster Prevention and Mitigation of Hainan Province(Grant SCSF202501),Open Research Project of Taizhou Key Laboratory of Typhoon and Marine Meteorology(Grant 2025TTHQZD01),Youth Innovation Team of the China Meteorological Administration(Grant CMA2023QN12) （Grant 42305153）
