Forecast errors of tropical cyclone track and intensity by the China Meteorological Administration from 2013 to 2022OA
This study presents a comprehensive evaluation of tropical cyclone(TC)forecast performance in the western North Pacific from 2013 to 2022,based on operational forecasts issued by the China Meteorological Administration.The analysis reveals systematic improvements in both track and intensity forecasts over the decade,with distinct error characteristics observed across various forecast parameters.Track forecast errors have steadily decreased,particularly for longer lead times,while error magnitudes have increased with longer forecast lead times.Intensity forecasts show similar progressive enhancements,with maximum sustained wind speed errors decreasing by 0.26 m/s per year for 120 h forecasts.The study also identifies several key patterns in forecast performance:typhoon-grade or stronger TCs exhibit smaller track errors than week or weaker systems;intensity forecasts systematically overestimate weaker TCs while underestimating stronger systems;and spatial error distributions show greater track inaccuracies near landmasses and regional intensity biases.These findings highlight both the significant advances in TC forecasting capability achieved through improved modeling and observational systems,and the remaining challenges in predicting TC changes and landfall behavior,providing valuable benchmarks for future forecast system development.
Huanmujin Yuan;Hong Wang;Yubin Li;Kevin K.W.Cheung;Zhiqiu Gao
School of Atmospheric Sciences,Nanjing University of Information Science and Technology,Nanjing,ChinaSchool of Teacher Education,Nanjing University of Information Science and Technology,Nanjing,ChinaSchool of Atmospheric Physics,Nanjing University of Information Science and Technology,Nanjing,ChinaSchool of Emergency Management,Nanjing University of Information Science and Technology,Nanjing,ChinaInstitute of Atmospheric Physics,Chinese Academy of Sciences,Beijing,China
天文与地球科学
Forecast errorTropical cycloneTrackIntensity
《Atmospheric and Oceanic Science Letters》 2026 (1)
P.72-77,6
supported by the National Key R&D Program of China [grant number 2023YFC3008004]。
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