Temporal and Spatial Variation Characteristics of Seasonal Differences in Extreme Precipitation in China Monsoon Region in the Last 40 Years

降水 气候学 季风 变化(天文学) 环境科学 中国 季节性 空间变异性 东亚季风 大气科学 自然地理学 地理 气象学 地质学 数学 统计 天体物理学 物理 考古
作者
Keding Sheng,Rui Li,Tongde Chen,Lingling Wang
出处
期刊:Water [Multidisciplinary Digital Publishing Institute]
卷期号:17 (11): 1672-1672 被引量:3
标识
DOI:10.3390/w17111672
摘要

Based on the long-term daily historical rainfall data, this study analyzes the seasonal differences in extreme rainfall in the monsoon region with frequent extreme rainfall in China over the past 40 years. From the detailed analysis of extreme rainfall indicators, the spatial and temporal variation in extreme rainfall indicators in the monsoon region of China from 1980 to 2020 is explored. Through Mann–Kendall test and multi-index spatial and temporal analysis, the spatial and temporal evolution law and seasonal differentiation characteristics of extreme precipitation events are revealed. The results show the following: (1) The precipitation change presents a dipole pattern of southeast–northeast enhancement, northwest–central attenuation. (2) The precipitation intensity showed the spatial heterogeneity of latitude differentiation of “strong in summer and weak in winter, strong in south and weak in north”, and generally attenuated in winter after reaching the peak in summer. (3) There were significant dry and wet differences between continuous drought days (CDDs) and wet days (CWDs), reflecting the characteristics of “dry in winter and wet in summer”, and the seasonal differentiation of cumulative precipitation (PRCPTOT) was significant. (4) The extreme precipitation threshold is strengthened in winter, and the frequency shows the characteristics of “high in winter and spring, low in summer and autumn”. Studies have shown that extreme precipitation in the monsoon region of China has seasonal redistribution characteristics, which may aggravate the challenge of water resources management. It is necessary to further analyze its driving factors in combination with a dynamic climate mechanism.
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