Characteristics of large-scale atmospheric circulation patterns conducive to severe spring and winter wind events over beijing in china based on a machine learning categorizing method

Characteristics of large-scale atmospheric circulation patterns conducive to severe spring and winter wind events over beijing in china based on a machine learning categorizing method

Severe wind events which occur in the metropolis of Beijing in China bring major catastrophes. Characteristics of severe winter and spring wind events over Beijing during the past 40 years have been analyzed. An artificial intelligence-based method is adopted to categorize the favorable large-scale...

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Bibliographic Details
Main Authors: Wei Zhao, Cui Hao, Jie Cao, Xiaoqing Lan, Yan Huang
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-09-01
Series:Frontiers in Earth Science
Subjects:
SOM method
large-scale circulation
synoptic weather system
global warming
severe wind event in spring and winter seasons
Online Access:https://www.frontiersin.org/articles/10.3389/feart.2022.998108/full

Internet

https://www.frontiersin.org/articles/10.3389/feart.2022.998108/full

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