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A Segmented Classification and Regression Machine Learning Approach for Correcting Precipitation Forecast at 4-6 h Leadtimes

Yuchi XIE Linye SONG Mingxuan CHEN Lei HAN Shangfeng CHEN Conglan CHENG

气象学报（英文版）2025，Vol.39Issue(1)：79-99,21.

气象学报（英文版）2025，Vol.39Issue(1)：79-99,21.DOI:10.1007/s13351-025-4117-2

A Segmented Classification and Regression Machine Learning Approach for Correcting Precipitation Forecast at 4-6 h Leadtimes

Yuchi XIE ¹Linye SONG ²Mingxuan CHEN ²Lei HAN ³Shangfeng CHEN ⁴Conglan CHENG²

作者信息

1. College of Information Science and Engineering,Ocean University of China,Qingdao 266100||Institute of Urban Meteorology,China Meteorological Administration,Beijing 100089
2. Institute of Urban Meteorology,China Meteorological Administration,Beijing 100089
3. College of Information Science and Engineering,Ocean University of China,Qingdao 266100
4. Center for Monsoon System Research,Institute of Atmospheric Physics,Chinese Academy of Sciences,Beijing 100029
折叠

摘要

关键词

machine learning/precipitation grade classification/segmented correction/precipitation forecast/Beijing-Tianjin-Hebei

Key words

machine learning/precipitation grade classification/segmented correction/precipitation forecast/Beijing-Tianjin-Hebei

引用本文复制引用

Yuchi XIE,Linye SONG,Mingxuan CHEN,Lei HAN,Shangfeng CHEN,Conglan CHENG..A Segmented Classification and Regression Machine Learning Approach for Correcting Precipitation Forecast at 4-6 h Leadtimes[J].气象学报（英文版）,2025,39(1):79-99,21.

基金项目

Supported by the National Natural Science Foundation of China(42275012),National Key Research and Development Program of China(2022YFC3004103),Beijing Municipal Science and Technology Project(Z221100005222012),and Key Innovation Team Fund of China Meteorological Administration(CMA2022ZD07). （42275012）

气象学报（英文版）

ISSN：0894-0525

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