大气科学2026，Vol.50Issue(1)：122-134,13.DOI:10.3878/j.issn.1006-9895.2506.24079
台湾海峡区域格点分析风场极大值订正技术研究
Correction Techniques for the Maximum Wind Speeds of the Gridded Analysis Dataset for the Taiwan Strait
摘要
Abstract
The China Meteorological Administration Land Surface Data Assimilation System(CLDAS)and its high-resolution counterpart(HRCLDAS)provide gridded analysis datasets that help compensate for the sparsity of in situ marine wind observations.However,notable biases exist between their maximum wind speed estimates and observations,particularly over the Taiwan Strait,where the pronounced Venturi effect leads to systematic underestimation.This underestimation is more severe in CLDAS,limiting its applicability for meteorological services.To address the issue,this study proposes a maximum wind speed correction method based on the double fusion of in situ wind observations from automatic weather stations and buoy stations.The method employs an inverse distance weighting algorithm to interpolate wind speed from such stations to grid points within a region centered on the location of the maximum wind speed.The optimal influence radius is determined by balancing wind field errors and spatial smoothness.The method was applied to experimentally correct the maximum wind speeds in CLDAS and HRCLDAS across three subregions of the Taiwan Strait(the Mindong,Minzhong,and Minnan Fishing Grounds)during 2021-2023.Results indicate that the proposed correction method effectively mitigates the underestimations of maximum wind speeds in both datasets,with HRCLDAS showing a more pronounced improvement.Compared with CLDAS,HRCLDAS features a higher frequency of smaller optimal influence radii.After correction,the hourly mean absolute errors(MAEs)of maximum wind speed decreased by 70％-85％for CLDAS and 90％-95％for HRCLDAS.The reduction rates of MAEs exceed 60％in all months,exceeding 85％and 90％for CLDAS and HRCLDAS,respectively,from October to January.Spatially,the MAE distribution aligns with the coastline,decreasing from west to east,with MAEs near the Fujian coastal buoys reduced to below 1 m s−1 after correction.The proposed correction method is effective for different types of strong wind events caused by Typhoon Doksuri(2023)and a typical cold tide from January 23 to 25,2023.关键词
台湾海峡区域/极值风速/订正方法/中国气象局陆面数据同化系统(CLDAS)/最优影响半径Key words
Taiwan Strait region/Maximum wind speed/Correction technique/CLDAS(China Meteorological Administration Land Surface Data Assimilation System)/Optimal influence radius分类
天文与地球科学引用本文复制引用
冯志明,潘宁,高聪晖..台湾海峡区域格点分析风场极大值订正技术研究[J].大气科学,2026,50(1):122-134,13.基金项目
国家重点研发计划项目2022YFC3004205,福建省气象局青年科技专项项目2024Q01,福建省气象局研究型业务类科研专项项目2024YJ03 Funded by National Key Research and Development Program of China(Grant 2022YFC3004205),Youth Science and Technology Special Project of Fujian Meteorological Bureau(Grant 2024Q01),Research Special Project for Research-Oriented Operations of Fujian Meteorological Bureau(Grant 2024YJ03) （Grant 2022YFC3004205）
