Synoptic Background and Atmospheric Conditions for Hailstorms in Weining (Yunnan‐Guizhou Plateau): Multi‐Source Data Support and Machine Learning‐Based Parameter Importance Ranking

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Authors: Shiyi Wang, Yali Luo, Chong Wu, Yangruixue Chen, Qing Li, Hao Wang
Cited by: 1
References: 45

Abstract

Abstract Hailstorms over the Yunnan‐Guizhou Plateau cause significant losses in key cash crops such as tobacco, inflicting substantial economic impacts. Weining, an eastern plateau region prone to spring‐summer hailstorms, requires further research on hailstorm environmental conditions to improve forecasting and disaster mitigation. This study investigates these aspects using multi‐source data, objective classification, vorticity diagnostics, and machine learning (ML) to derive robust conclusions. Results show hailstorms predominantly occur in afternoon–evening producing hailstones mostly with diameters

Fields of Study & Subjects

Meteorological Phenomena and Simulations Climate variability and models Tropical and Extratropical Cyclones Research

Publication details

Journal / source
Earth and Space Science
Publisher
American Geophysical Union (AGU)
Volume
13
Issue
2
Publication date
1 February 2026
Language
EN