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京津冀地区7-9月极端降水分型及趋势分析

魏诗泉 任雪娟

气象科学2024,Vol.44Issue(2):235-245,11.
气象科学2024,Vol.44Issue(2):235-245,11.DOI:10.12306/2024jms.0010

京津冀地区7-9月极端降水分型及趋势分析

Analysis of extreme precipitation patterns and trends in the Beijing-Tianjin-Hebei region from July to September

魏诗泉 1任雪娟1

作者信息

  • 1. 南京大学中国气象局气候预测研究重点开放实验室/大气科学学院,南京 210023
  • 折叠

摘要

Abstract

This study uses the K-means clustering analysis method to classify the extreme precipitation events in the Beijing-Tianjin-Hebei(BTH)region during July to September from 1979 to 2022 into four categories according to their intensity and location.Based on this,the circulation characteristics,long term trends and their corresponding causes of extreme precipitation in the BTH region from July to September were analyzed.By analyzing the atmospheric circulation in different levels corresponding to the four types of extreme precipitation,it is shown that weather systems such as the low-level southwest airflow,the subtropical high pressure in the mid-level,the South Asian high,and westerly jet in the upper level jointly influence the extreme precipitation in the BTH region with different configurations.For long-term trends,the frequency of extreme precipitation in the BTH region shows an upward trend during July to September from 1979 to 2022.This is due to the increase in extreme precipitation of types Ⅱ and Ⅲ in July,as well as the increase in extreme precipitation of type Ⅳ in September.By analyzing the background field,it is suggested that the low-level water vapor field and the upper-level potential height field are conducive to the increase of extreme precipitation in July.The increase in extreme precipitation of type Ⅳ in September is due to the increase in background dynamic fields and geopotential height fields in the lower and upper levels.

关键词

极端降水/K-means聚类分析/环流分析

Key words

extreme precipitation/K-means clustering analysis/circulation analysis

分类

天文与地球科学

引用本文复制引用

魏诗泉,任雪娟..京津冀地区7-9月极端降水分型及趋势分析[J].气象科学,2024,44(2):235-245,11.

基金项目

国家重点研发计划资助项目(2023YFF0805404) (2023YFF0805404)

国家自然科学基金资助项目(42175021) (42175021)

气象科学

OACSTPCD

1009-0827

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