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Multi-model ensemble forecasting of 10-m wind speed over eastern China based on machine learning optimization

Ting Lei Jingjing Min Chao Han Chen Qi Chenxi Jin Shuanglin Li

大气和海洋科学快报:英文版2023，Vol.16Issue(5)：P.95-101,7.

大气和海洋科学快报:英文版2023，Vol.16Issue(5)：P.95-101,7.DOI:10.1016/j.aosl.2023.100402

Multi-model ensemble forecasting of 10-m wind speed over eastern China based on machine learning optimization

Ting Lei ¹Jingjing Min ²Chao Han ²Chen Qi ²Chenxi Jin ²Shuanglin Li³

作者信息

1. Beijing Meteorological Service Center,Bejing,China Climate Change Research Center,Institute of Atmospheric Physics,Chinese Academy of Sciences,Bejing,Chin
2. Beijing Meteorological Service Center,Bejing,China
3. Climate Change Research Center,Institute of Atmospheric Physics,Chinese Academy of Sciences,Bejing,Chin Department of Atmospheric Science,China University of Geosciences,Wuhan,China
折叠

摘要

关键词

风速/机器学习优选/集成预报/岭回归

分类

天文与地球科学

引用本文复制引用

Ting Lei,Jingjing Min,Chao Han,Chen Qi,Chenxi Jin,Shuanglin Li..Multi-model ensemble forecasting of 10-m wind speed over eastern China based on machine learning optimization[J].大气和海洋科学快报:英文版,2023,16(5):P.95-101,7.

基金项目

the Beijing Natural Science Foundation[grant number 8234068]. （）

大气和海洋科学快报:英文版

OACSCD

ISSN：1674-2834

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