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Robust and Explainable Objective Classification of Extreme Precipitation Events Using Machine Learning

Tao TANG Ping HE Wenqiang SHEN Hao QIAN Junping ZHAO Xiaofen LOU Ling LUO

气象学报(英文版)2025,Vol.39Issue(6):1463-1476,14.
气象学报(英文版)2025,Vol.39Issue(6):1463-1476,14.DOI:10.1007/s13351-025-5039-8

Robust and Explainable Objective Classification of Extreme Precipitation Events Using Machine Learning

Robust and Explainable Objective Classification of Extreme Precipitation Events Using Machine Learning

Tao TANG 1Ping HE 2Wenqiang SHEN 1Hao QIAN 1Junping ZHAO 1Xiaofen LOU 1Ling LUO1

作者信息

  • 1. Zhejiang Meteorological Observatory,Hangzhou 310002
  • 2. School of Earth Sciences,Zhejiang University,Hangzhou 310058
  • 折叠

摘要

关键词

extreme precipitation event/objective classification/machine learning/clustering algorithm/anomaly of meteorological variability

Key words

extreme precipitation event/objective classification/machine learning/clustering algorithm/anomaly of meteorological variability

引用本文复制引用

Tao TANG,Ping HE,Wenqiang SHEN,Hao QIAN,Junping ZHAO,Xiaofen LOU,Ling LUO..Robust and Explainable Objective Classification of Extreme Precipitation Events Using Machine Learning[J].气象学报(英文版),2025,39(6):1463-1476,14.

基金项目

Supported by the Science and Technology Project of Zhejiang Meteorological Bureau(2022ZD01 and 2023QN01),Innovation and Development Program of China Meteorological Administration(CXFZ2023J021),and Joint Research Project for Meteorological Capa-city Improvement of China Meteorological Administration(23NLTSZ007). (2022ZD01 and 2023QN01)

气象学报(英文版)

0894-0525

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