A Recombination Clustering Technique for Forecasting of Tropical Cyclone Tracks Based on the CMA-TRAMS Ensemble Prediction SystemOACSCDCSTPCD
A Recombination Clustering Technique for Forecasting of Tropical Cyclone Tracks Based on the CMA-TRAMS Ensemble Prediction System
Jinqing LIU;Xubin ZHANG;Zejun DAI;Hui ZHOU;Zhaoli YANG
Hunan Meteorological Observatory/Hunan Key Laboratory of Meteorological Disaster Prevention and Reduction,Hunan Meteorological Bureau,Changsha 410118Guangzhou Institute of Tropical and Marine Meteorology/Guangdong Provincial Key Laboratory of Regional Numerical Weather Prediction,China Meteorological Administration,Guangzhou 510641Hunan Meteorological Observatory/Hunan Key Laboratory of Meteorological Disaster Prevention and Reduction,Hunan Meteorological Bureau,Changsha 410118Hunan Meteorological Observatory/Hunan Key Laboratory of Meteorological Disaster Prevention and Reduction,Hunan Meteorological Bureau,Changsha 410118Guangzhou Institute of Tropical and Marine Meteorology/Guangdong Provincial Key Laboratory of Regional Numerical Weather Prediction,China Meteorological Administration,Guangzhou 510641
tropical cyclonerecombination clusteringcluster numberprobabilityensemble prediction system(EPS)China Meteorological Administration Tropical Regional Atmosphere Model for the South China Sea(CMA-TRAMS)
tropical cyclonerecombination clusteringcluster numberprobabilityensemble prediction system(EPS)China Meteorological Administration Tropical Regional Atmosphere Model for the South China Sea(CMA-TRAMS)
《气象学报（英文版）》 2023 (6)
812-828,17
Supported by the National Natural Science Foundation of China(42375002,41975136,U2242201,and 42105146)and Hunan Provin-cial Natural Science Foundation of China(2021JC0009).
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