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Review | Publishing Language: Chinese

Development of tropical cyclone forecasting technology in China:Past,present,and future

Hui YU1,2, Lianshou CHEN3, Zhemin TAN4, Yihong DUAN5, Mengqi YANG1,2, Chen CHEN1,2, Yongping LI1,2, Guomin CHEN1,2, Wei HUANG1,2, Qifeng QIAN6, Suhong MA7, Xin WANG8
Shanghai Typhoon Institute,China Meteorological Administration,Shanghai 200030,China
Key Laboratory of Numerical Modeling for Tropical Cyclone,China Meteorological Administration,Shanghai 200030,China
Chinese Academy of Meteorological Sciences,Beijing 100081,China
Nanjing University,Nanjing 210093,China
Typhoon Committee Secretariat,Economic and Social Commission for Asia and the Pacific/World Meteorological Organization,Macao 999078,China
National Meteorological Centre,China Meteorological Administration,Beijing 100081,China
CMA Earth System Modeling and Prediction Centre,Beijing 100081,China
National Satellite Meteorological Centre,China Meteorological Administration,Beijing 100081,China
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Abstract

In the past century, the development of tropical cyclone (TC) forecasting technology in China has experienced several main stages, from cloud identification, weather chart analysis, to statistical forecasting, statistics-dynamic forecasting, numerical forecasting, and their integrated application. As a result, the capability in forecasting TCs in China has significantly improved in both accuracy and stability, with noticeable stepwise features corresponding to the developments in forecasting technology. Looking ahead, forecasting of TCs has entered a new phase to break through the bottlenecks of fine structure and long lead time forecasting. Advancing the TC physics understanding is converging with improved AI capabilities, catalyzing a foreseen leap in TC forecasting technology.

CLC number: P457.8 Document code: A

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Acta Meteorologica Sinica
Pages 786-797

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Cite this article:
YU H, CHEN L, TAN Z, et al. Development of tropical cyclone forecasting technology in China:Past,present,and future. Acta Meteorologica Sinica, 2025, 83(3): 786-797. https://doi.org/10.11676/qxxb2025.20240180

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Received: 18 October 2024
Revised: 14 January 2025
Published: 28 June 2025
© Chinese Meteorological Society