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首页|期刊导航|中国海洋大学学报(自然科学英文版)|An Objective Synoptic Analysis Technique for the Identification of Tropical Cyclone Remote Precipitation in China and Its Application

An Objective Synoptic Analysis Technique for the Identification of Tropical Cyclone Remote Precipitation in China and Its Application

JIA Li DING Chenchen CONG Chunhua REN Fumin LIU Yanan

中国海洋大学学报(自然科学英文版)2025,Vol.24Issue(1):13-30,18.
中国海洋大学学报(自然科学英文版)2025,Vol.24Issue(1):13-30,18.DOI:10.1007/s11802-025-5732-3

An Objective Synoptic Analysis Technique for the Identification of Tropical Cyclone Remote Precipitation in China and Its Application

An Objective Synoptic Analysis Technique for the Identification of Tropical Cyclone Remote Precipitation in China and Its Application

JIA Li 1DING Chenchen 2CONG Chunhua 3REN Fumin 4LIU Yanan5

作者信息

  • 1. School of Atmospheric Science,Nanjing University of Information Science and Technology,Nanjing 210044,China||State Key Laboratory of Severe Weather,Chinese Academy of Meteorological Sciences,Beijing 100081,China
  • 2. Public Meteorological Service Center of CMA,Beijing 100081,China
  • 3. Shandong Meteorological Bureau,Jinan 250031,China
  • 4. State Key Laboratory of Severe Weather,Chinese Academy of Meteorological Sciences,Beijing 100081,China
  • 5. Laboratory of Cloud-Precipitation Physics and Severe Storms(LACS),Institute of Atmospheric Physics,Chinese Academy of Sciences,Beijing 100029,China
  • 折叠

摘要

关键词

tropical cyclone/remote precipitation/objective identification method

Key words

tropical cyclone/remote precipitation/objective identification method

引用本文复制引用

JIA Li,DING Chenchen,CONG Chunhua,REN Fumin,LIU Yanan..An Objective Synoptic Analysis Technique for the Identification of Tropical Cyclone Remote Precipitation in China and Its Application[J].中国海洋大学学报(自然科学英文版),2025,24(1):13-30,18.

基金项目

This study was supported by the Postgraduate Research&Practice Innovation Program of Jiangsu Province(No.KYCX22_1136),the National Natural Scientific Founda-tion of China(No.42275037),the Basic Research Fund of CAMS(No.2023Z016),and the Key Laboratory of South China Sea Meteorological Disaster Prevention and Mitigation of Hainan Province(No.SCSF202202).This study was supported by the Jiangsu Collaborative Innova-tion Center for Climate Change. (No.KYCX22_1136)

中国海洋大学学报(自然科学英文版)

1672-5182

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