Identification and characteristics of regional rainstorm events in China based on a dual-threshold method

IF 4.5 2区 地球科学 Q1 METEOROLOGY & ATMOSPHERIC SCIENCES
Siyuan Dai, Qi Zhang, Shaofeng Huang
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引用次数: 0

Abstract

Regional extreme precipitation can cause severe flooding with major environmental and social impacts. While most existing studies either ignored their spatiotemporally contiguous or abnormally break down the events with multiple rainstorm cores, rapid movement, or transient interruptions into multiple isolated fragments. Here, we propose a novel approach for identifying regional rainstorm events (RREs), which integrates dual-threshold with a three-dimensional (longitude, latitude, and time) image connectivity perspective. There were 1163 RREs identified across mainland China from 1991 to 2022 based on the CN05.1 dataset. The spatial, temporal, and movement patterns of RREs were analyzed. Results showed that 71.2 % of RREs lasted only one day, with intensity mostly around 60–70 mm/day. The cumulative magnitude of RREs was most positively correlated with its affected area (r = 0.95). The occurrence frequency of RREs had a significant upward trend during 1991–2022, approximately increased 2.7 events per decade, while the severity slightly declined. Spatially, the highest frequencies of RREs were observed in southeastern China. Based on the movement direction and distance, RREs were classified into four patterns: Eastward Moving, Southwestward Moving, Localized, and Northward Moving. Northward Moving RREs exhibited the largest affected area, the greatest cumulative magnitude, and the longest movement distance, followed by Eastward Moving RREs. Localized RREs had the shortest duration, the smallest affected area and movement distance, but the highest intensity (averaging 92.6 mm/day). Our findings provide new insights for understanding the characteristics of regional extreme precipitation and their driving mechanisms, which are valuable for forecasting and adapting to the resultant disasters.
基于双阈值方法的中国区域暴雨事件识别与特征
区域性极端降水可造成严重的洪涝灾害,对环境和社会造成重大影响。而现有的研究要么忽略了它们在时空上的连续性,要么将具有多个暴雨核心、快速运动或短暂中断的事件异常地分解为多个孤立的片段。本文提出了一种新的区域暴雨事件识别方法,该方法将双阈值与三维(经度、纬度和时间)图像连通性视角相结合。基于CN05.1数据集,1991 - 2022年中国大陆共识别出1163个可重构区域。分析了RREs的空间、时间和运动模式。结果表明,71.2%的RREs仅持续1 d,强度多在60 ~ 70 mm/d之间。RREs累积震级与其受灾面积呈正相关(r = 0.95)。1991—2022年,RREs的发生频率呈显著上升趋势,约为每10年增加2.7次,而严重程度略有下降。从空间上看,中国东南部地区RREs频率最高。根据移动方向和距离,可将RREs分为向东移动、向西南移动、局部移动和向北移动4种模式。向北移动的台风受灾面积最大、累计震级最大、移动距离最长,其次是向东移动的台风。局部RREs持续时间最短,影响面积和移动距离最小,但强度最高(平均92.6 mm/d)。研究结果为认识区域极端降水的特征及其驱动机制提供了新的思路,对区域极端降水灾害的预测和适应具有重要意义。
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来源期刊
Atmospheric Research
Atmospheric Research 地学-气象与大气科学
CiteScore
9.40
自引率
10.90%
发文量
460
审稿时长
47 days
期刊介绍: The journal publishes scientific papers (research papers, review articles, letters and notes) dealing with the part of the atmosphere where meteorological events occur. Attention is given to all processes extending from the earth surface to the tropopause, but special emphasis continues to be devoted to the physics of clouds, mesoscale meteorology and air pollution, i.e. atmospheric aerosols; microphysical processes; cloud dynamics and thermodynamics; numerical simulation, climatology, climate change and weather modification.
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