Scholarlink

<p>This study analyzes the relationship between atmospheric environment and rainfall characteristics of convective heavy rainfall (Con_HR) events with intensities ≥ 30&#xa0;mm hr⁻¹ over the Korean Peninsula during May–September from 2011 to 2024. Con_HR cases were identified using AWS/ASOS surface observations, and atmospheric conditions and rainfall characteristics were analyzed using ERA5 and Korea Meteorological Administration gridded precipitation reanalysis data. The spatio-temporal scale of Con_HR cases varies widely, from a few kilometers to several hundred kilometers and from 1 to 2&#xa0;h to several tens of hours. For each Con_HR case, nine atmospheric variables representing moisture content, thermodynamic instability, and wind shear were calculated, and cluster analysis was performed using Hierarchical Clustering, K-means, and Gaussian Mixture Model. Based on cases consistently classified across these methods, Con_HR environments were categorized into four distinct clusters. The results show that Cluster 0 occurs in environments with low thermodynamic instability but relatively strong vertical wind shear and is associated with rainfall persisting over a wide spatial extent. In contrast, Cluster 1 develops under conditions characterized by high thermodynamic instability indices, producing rainfall concentrated within localized areas and short durations. Cluster 2 is characterized by generally low instability across most indices with large inter-case variability, whereas Cluster 3, accounting for more than half of the cases, develops in environments where moisture availability, instability, and wind shear are simultaneously satisfied, resulting in relatively higher rainfall intensity and larger affected areas. Differences among Con_HR clusters are more pronounced in rainfall duration and spatial extent than in local peak intensity.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Clustering of Convective Heavy Rainfall Types on the Korean Peninsula and Analysis of Atmospheric Environment and Rainfall Characteristics by Cluster

  • 期刊论文

  • 发表日期：

    2026年6月1日

查看全文
  • Ki-Ok Hong,
  • Myoung-Seok Suh,
  • Jong-Khun Kim

摘要

This study analyzes the relationship between atmospheric environment and rainfall characteristics of convective heavy rainfall (Con_HR) events with intensities ≥ 30 mm hr⁻¹ over the Korean Peninsula during May–September from 2011 to 2024. Con_HR cases were identified using AWS/ASOS surface observations, and atmospheric conditions and rainfall characteristics were analyzed using ERA5 and Korea Meteorological Administration gridded precipitation reanalysis data. The spatio-temporal scale of Con_HR cases varies widely, from a few kilometers to several hundred kilometers and from 1 to 2 h to several tens of hours. For each Con_HR case, nine atmospheric variables representing moisture content, thermodynamic instability, and wind shear were calculated, and cluster analysis was performed using Hierarchical Clustering, K-means, and Gaussian Mixture Model. Based on cases consistently classified across these methods, Con_HR environments were categorized into four distinct clusters. The results show that Cluster 0 occurs in environments with low thermodynamic instability but relatively strong vertical wind shear and is associated with rainfall persisting over a wide spatial extent. In contrast, Cluster 1 develops under conditions characterized by high thermodynamic instability indices, producing rainfall concentrated within localized areas and short durations. Cluster 2 is characterized by generally low instability across most indices with large inter-case variability, whereas Cluster 3, accounting for more than half of the cases, develops in environments where moisture availability, instability, and wind shear are simultaneously satisfied, resulting in relatively higher rainfall intensity and larger affected areas. Differences among Con_HR clusters are more pronounced in rainfall duration and spatial extent than in local peak intensity.