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投稿时间:2026-04-09 修订日期:2026-07-31
投稿时间:2026-04-09 修订日期:2026-07-31
中文摘要: 依据《台风业务和服务规定》(中国气象局,2024),本研究评定2025年西北太平洋及南海台风的业务定位和定强精度,以及路径和强度预报精度。2025年,中央气象台的台风定位平均误差为13.5 km、台风定强平均绝对误差(MAE)为1.1 m/s,定位和定强精度优于日本气象厅(JMA)、美国联合台风警报中心(JTWC)等其他官方台风预报机构。中央气象台24 h、48 h路径预报平均误差分别为56.6 km、95.8 km,24 h、48 h强度预报MAE分别为3.6 m/s、4.9 m/s,24 h和48 h路径和强度预报性能达到历史最好水平。人工智能(AI)气象模型在短预报时效的路径预报误差第95百分位数普遍高于数值预报模式(NWP),长预报时效则低于NWP。使用适配模型对AI气象模型的强度预报进行订正,能够改善AI气象模型对台风强度的低估,从而提高台风强度预报精度。
中文关键词: 台风,定位定强,路径预报,强度预报,精度评定
Abstract:According to the “Regulations on Typhoon Operations and Services” (China Meteorological Administration, 2024), this study verified the accuracy of operational position and intensity estimation, as well as accuracy of track and intensity forecasts for the typhoons over the western North Pacific and the South China Sea in 2025. The mean error of typhoon position estimation by the National Meteorological Centre (NMC) was 13.5 ?km, and the mean absolute error (MAE) of typhoon intensity estimation was 1.1? m/s. The position and intensity estimation accuracies by the NMC were superior to those of other official typhoon forecasting agencies, including the Japan Meteorological Agency (JMA) and the Joint Typhoon Warning Center (JTWC). The mean track forecast errors by the NMC at 24?h and 48?h were 56.6? km and 95.8 ?km, respectively, and the MAE of intensity forecast at 24?h and 48?h were 3.6 ?m/s and 4.9? m/s, respectively. The track and intensity forecast performance of NMC at 24?h and 48?h reached the highest level on record. For AI-based Weather Prediction (AIWP) models, the 95th percentile track forecast errors were generally larger than those of Numerical Weather Prediction (NWP) models at short lead times, but smaller than those of NWP models at long lead times. Correcting the intensity forecasts of AIWP models with an adaptation model reduced the underestimation of typhoon intensity, thereby improving the accuracy of typhoon intensity forecasts.
keywords: typhoon,position and intensity estimation,track forecast,intensity forecast,forecast verification
文章编号:202604090129 中图分类号: 文献标志码:
基金项目:中国气象局上海台风研究所科技发展基金项目(2024KJFZ10),中国气象局上海台风研究所基本科研业务费专项基金项目资助(2026JB09),中国气象局重点创新团队(台风团队)(CMA2023ZD06)和上海市气象局台风赛道团队共同资助
| 作者 | 单位 | 地址 |
| 杨梦琪* | 中国气象局上海台风研究所 | 上海市徐汇区 蒲西路166号 |
| 陈国民 | 中国气象局上海台风研究所 | |
| 聂高臻 | 国家气象中心 | |
| 陈琛 | 中国气象局上海台风研究所 | |
| 白莉娜 | 中国气象局上海台风研究所 | |
| 郭蓉 | 中国气象局上海台风研究所 |
| Author Name | Affiliation | Address |
| Yang Meng Qi | Shanghai Typhoon Institute of China Meteorological Administration | 上海市徐汇区 蒲西路166号 |
| Chen Guo Min | ||
| Nie Gao Zhen | ||
| Chen Chen | ||
| Bai Li Na | ||
| Guo Rong |
引用文本:
Yang Meng Qi,Chen Guo Min,Nie Gao Zhen,Chen Chen,Bai Li Na,Guo Rong,0.Verification on Typhoon Forecasts over the Western North Pacific and the South China Sea in 2025[J].Meteor Mon,():-.
Yang Meng Qi,Chen Guo Min,Nie Gao Zhen,Chen Chen,Bai Li Na,Guo Rong,0.Verification on Typhoon Forecasts over the Western North Pacific and the South China Sea in 2025[J].Meteor Mon,():-.
Yang Meng Qi,Chen Guo Min,Nie Gao Zhen,Chen Chen,Bai Li Na,Guo Rong,0.Verification on Typhoon Forecasts over the Western North Pacific and the South China Sea in 2025[J].Meteor Mon,():-.
Yang Meng Qi,Chen Guo Min,Nie Gao Zhen,Chen Chen,Bai Li Na,Guo Rong,0.Verification on Typhoon Forecasts over the Western North Pacific and the South China Sea in 2025[J].Meteor Mon,():-.