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首页|期刊导航|气象学报(英文版)|Why Forecasts Expected Dry Conditions amid South China's Record-Breaking Rainfall in Early Summer 2022?

Why Forecasts Expected Dry Conditions amid South China's Record-Breaking Rainfall in Early Summer 2022?

Ben TIAN Jinqing ZUO Chaofan LI Xinxin LI

气象学报(英文版)2025,Vol.39Issue(5):1185-1196,12.
气象学报(英文版)2025,Vol.39Issue(5):1185-1196,12.DOI:10.1007/s13351-025-4241-z

Why Forecasts Expected Dry Conditions amid South China's Record-Breaking Rainfall in Early Summer 2022?

Why Forecasts Expected Dry Conditions amid South China's Record-Breaking Rainfall in Early Summer 2022?

Ben TIAN 1Jinqing ZUO 2Chaofan LI 3Xinxin LI4

作者信息

  • 1. State Key Laboratory of Climate System Prediction and Risk Management/China Meteorological Administration Key Laboratory for Climate Prediction Studies,National Climate Centre,China Meteorological Administration,Beijing 100081
  • 2. State Key Laboratory of Climate System Prediction and Risk Management/China Meteorological Administration Key Laboratory for Climate Prediction Studies,National Climate Centre,China Meteorological Administration,Beijing 100081||Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters(CIC-FEMD),Nanjing University of Information Science & Technology,Nanjing 210044
  • 3. Center for Monsoon System Research,Institute of Atmospheric Physics,Chinese Academy of Sciences,Beijing 100029||College of Earth and Planetary Sciences,University of Chinese Academy of Sciences,Beijing 100049
  • 4. Fujian Climate Centre,Fuzhou 350005
  • 折叠

摘要

关键词

South China/record-breaking floods/seasonal forecast/La Niña/El Niño/Eurasian wave train

Key words

South China/record-breaking floods/seasonal forecast/La Niña/El Niño/Eurasian wave train

引用本文复制引用

Ben TIAN,Jinqing ZUO,Chaofan LI,Xinxin LI..Why Forecasts Expected Dry Conditions amid South China's Record-Breaking Rainfall in Early Summer 2022?[J].气象学报(英文版),2025,39(5):1185-1196,12.

基金项目

Supported by the National Natural Science Foundation of China(U2142211,42375064,and 41975102),National Key Research and Development Program of China(2018YFC1506003),and China Meteorological Administration Key Innovation Team Fund for Climate Prediction(CMA2023ZD03). (U2142211,42375064,and 41975102)

气象学报(英文版)

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