评估中国沿海地区复合型极端风暴潮和降水的潜力

IF 6.1 1区 地球科学 Q1 METEOROLOGY & ATMOSPHERIC SCIENCES
Yuqing Li , Jiangbo Gao , Jie Yin , Shaohong Wu
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引用次数: 0

摘要

极端风暴潮和降水同时或相继出现,会导致复合洪水。特大风暴潮和降水之间的相互作用对了解沿海地区潜在的复合洪水风险具有重要意义。本研究利用基于尾随关系的观测数据和模型数据集,研究了中国沿海地区极端风暴潮和降水复合发生的可能性。我们从时空尺度的观测数据中评估了尾部依赖的完整特征。随后,我们根据两个典型点(厦门和石臼)的平均海平面气压数据进行主成分分析,将复合洪水划分为 6 种天气模式。我们分析了观测和模拟涌浪数据的结构依赖性,并比较了历史依赖性和未来尾部依赖性。结果表明,与渤海和南海相比,黄海和东海表现出更高的依赖性。与中国北部海域相比,中国东南部海域的依存度具有更显著的季节变化。结果表明,厦门的主导天气类型与低海压和高陆压有关,而石臼厝的天气类型则位于低压中心的南缘。根据气候模式 CMCC-CM2-VHR4、GFDL-CMC192-SST、ECEarth3P-HR 和 HadGEM3-GC31-HM,未来复合事件的预测概率(2015-2050 年)比当前时期(1979-2014 年)分别大幅增加了 23.9%、25.38%、58.21% 和 119.47%。这些发现强调了极端降水与风暴潮之间的相关性,有助于加深对复合洪水的理解,促进灾害防控。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Assessing the potential of compound extreme storm surge and precipitation along China's coastline

The occurrence of extreme storm surges and precipitation simultaneously or successively can lead to compound flooding. The interaction between extreme storm surges and precipitation holds significant implications for understanding the potential contributing to compound flood risk in coastal areas. This study examines the likelihood of joint occurrence for compound extreme storm surges and precipitation along the China's coastline using observations and model data sets based on tail dependence. We assess the complete characteristics of the tail dependence from observations at the spatio-temporal scale. Subsequently, we perform a principal component analysis to classify the compound flood into 6 synoptic patterns based on the mean sea level pressure data in two typical points (Xiamen and Shijiusuo). We analyze the structure dependence of both observed and simulated surge data and compare the dependence between the historical and the future tail dependence. The result shows that the Yellow Sea and East China Sea exhibit higher dependence compared to the Bohai Sea and South China Sea. The southeastern sea of China has more significant seasonal variation in dependence relative to the northern sea of China. The result indicates that the dominant weather type in Xiamen is associated with low sea pressure and high land pressure, while the type in Shijiusuo is located at the southern edge of a low-pressure center. Projected probabilities of future compound events (2015–2050) have shown substantial increases of 23.9%, 25.38%, 58.21%, and 119.47% over the current period (1979–2014), according to climate models CMCC-CM2-VHR4, GFDL-CMC192-SST, ECEarth3P-HR, and HadGEM3-GC31-HM, respectively. These findings emphasize the correlation between extreme precipitation and storm surges, contributing to a deeper understanding of the compound flood and promoting disaster prevention and control.

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来源期刊
Weather and Climate Extremes
Weather and Climate Extremes Earth and Planetary Sciences-Atmospheric Science
CiteScore
11.00
自引率
7.50%
发文量
102
审稿时长
33 weeks
期刊介绍: Weather and Climate Extremes Target Audience: Academics Decision makers International development agencies Non-governmental organizations (NGOs) Civil society Focus Areas: Research in weather and climate extremes Monitoring and early warning systems Assessment of vulnerability and impacts Developing and implementing intervention policies Effective risk management and adaptation practices Engagement of local communities in adopting coping strategies Information and communication strategies tailored to local and regional needs and circumstances
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