空间科学学报2026，Vol.46Issue(2)：320-333,14.DOI:10.11728/cjss2026.02.2025-0023
基于宽度学习的HY-2微波散射计海面高风速订正
High Wind Speed Correction of HY-2 Satellite Microwave Scatterometer Based on Broad Learning System
摘要
Abstract
Accurate observation of sea surface wind fields is essential for tropical cyclone forecasting and meteorological hazard mitigation.The HY-2 series microwave scatterometer continuously measures Ku-band ocean surface winds.However,its current wind speed retrieval algorithm struggles in high wind conditions and systematically underestimates speeds during extreme events such as typhoons.To ad-dress this bias,this study utilized the HY-2 wind speed data of nine tropical cyclones between 2021 and 2022 as the data source.The Stepped Frequency Microwave Radiometer(SFMR)wind speed measure-ments served as the ground truth.A modeling dataset was constructed by resampling the SFMR refer-ence data to match the 25 km spatial resolution of the HY-2 scatterometer,followed by spatiotemporal matching within a two-hour time window.The matched dataset was then randomly divided into a train-ing set and a testing set at a 7∶3 ratio.Subsequently,the Broad Learning System(BLS)was employed to conduct the regression analysis and develop a high-wind-speed correction model.BLS employs a shal-low,flat architecture in which input features are expanded into"enhanced nodes",avoiding the deep stacks typical of conventional neural networks.This structure reduces computational cost and acceler-ates convergence while maintaining predictive performance.Validation results demonstrate that the cor-rected HY-2 wind speeds achieved a Root Mean Square Error(RMSE)of 4.47 m·s-1,representing a 35%improvement compared to the uncorrected data.For wind speeds exceeding 25 m·s-1,the corrected RMSE reached 6.76 m·s-1,marking significant enhancements over the original values of 13.27 m·s-1.Additionally,a comparative analysis using Typhoon Chanthu(in 2021)as a case study revealed that the corrected HY-2C maximum wind speed increased from 22.09 m·s-1 to 32.73 m·s-1,closely matching wind fields retrieved by Synthetic Aperture Radar(SAR).Further validation through wind speed profile comparisons confirmed the effectiveness of the proposed model.These results demonstrate that our correction framework markedly improves extreme-wind retrieval accuracy,yielding bias-corrected HY-2 products that are more reliable for applications,such as storm surge simulation and typhoon track forecasting.关键词
HY-2微波散射计/宽度学习系统/风速订正模型/高风速低估Key words
HY-2 microwave scatterometer/Broad Learning System(BLS)/Wind speed correction model/Underestimation of high wind speed分类
海洋科学引用本文复制引用
苏月,张金鑫,刘桂红,马文韬,于暘,吴之恒,汪胜,杨晓峰,光洁..基于宽度学习的HY-2微波散射计海面高风速订正[J].空间科学学报,2026,46(2):320-333,14.基金项目
海南省自然科学基金项目资助(623QN327) （623QN327）
