中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
首页 机构 成果 学者
  
  1. CAS IR Grid
  2. 地理科学与资源研究所
  3. 中国科学院地理科学与资源研究所
  4. 自然地理与全球变化研究部
  5. 外文论文
Spatiotemporal analysis of consecutive extreme wet days in China from 1980 to 2020

文献类型：期刊论文

作者Zong, Xuezheng4; Yin, Yunhe2; Cui, Tong3; Hou, Wenjuan2; Deng, Haoyu
刊名INTERNATIONAL JOURNAL OF CLIMATOLOGY
出版日期2023-04-01
卷号N/A
关键词China climate change consecutive extreme wet days extreme precipitation
ISSN号1097-0088
DOI10.1002/joc.8011
文献子类Article; Early Access
英文摘要Consecutive extreme wet days (CEWDs) typically affect the likelihood of flooding and landslides and have negative effects on both natural and artificial ecosystems; however, the spatiotemporal changes in their features are still unclear at the national scale. Investigating changes in the frequency and intensity of such events is essential for climate risk management. Here, this study thoroughly analysed CEWD features in China from 1980 to 2020 using the daily observation dataset. We also evaluated and compared the ability of two widely used precipitation products, the European Centre for Medium-Range Weather Forecasts Reanalysis 5th Generation (ERA5) and the Multi-Source Weighted-Ensemble Precipitation version 2 (MSWEP), to detect CEWD features. According to the observation data, the frequency and intensity of CEWD events are related to local climate and present high eastern and low western spatial patterns across China. Since 1980, more than half of China's mainland has experienced increases in both the frequency and intensity of CEWDs. Some stations detected decreasing trends in CEWD frequency and amounts, which are primarily located in the eastern coastal regions and southwest of warm temperate humid/subhumid regions. The ERA5 precipitation product generally outperforms MSWEP data in detecting CEWD events, and the latter significantly underestimates the annual frequency and amounts of CEWDs. These findings provide basic and valuable information regarding CEWD features across China and where such studies can be conducted based on precipitation datasets. Furthermore, these findings will also aid policymakers in managing extreme precipitation-related natural hazards.
WOS关键词CLIMATE-CHANGE ; PRECIPITATION EXTREMES ; TREND ANALYSIS ; TEMPERATURE ; EVENTS ; DRYNESS/WETNESS ; ATTRIBUTION ; DROUGHT
WOS研究方向Meteorology & Atmospheric Sciences
WOS记录号WOS:000929837000001
出版者WILEY
源URL[http://ir.igsnrr.ac.cn/handle/311030/190313]  
专题陆地表层格局与模拟院重点实验室_外文论文
作者单位1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, 11 Da Tun St, Beijing 100101, Peoples R China
2.China Meteorol Adm, Natl Climate Ctr, Beijing, Peoples R China
3.Univ Chinese Acad Sci, Beijing, Peoples R China
4.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing, Peoples R China
推荐引用方式
GB/T 7714		 Zong, Xuezheng,Yin, Yunhe,Cui, Tong,et al. Spatiotemporal analysis of consecutive extreme wet days in China from 1980 to 2020[J]. INTERNATIONAL JOURNAL OF CLIMATOLOGY,2023,N/A.
APA Zong, Xuezheng,Yin, Yunhe,Cui, Tong,Hou, Wenjuan,&Deng, Haoyu.(2023).Spatiotemporal analysis of consecutive extreme wet days in China from 1980 to 2020.INTERNATIONAL JOURNAL OF CLIMATOLOGY,N/A.
MLA Zong, Xuezheng,et al."Spatiotemporal analysis of consecutive extreme wet days in China from 1980 to 2020".INTERNATIONAL JOURNAL OF CLIMATOLOGY N/A(2023).

入库方式： OAI收割

来源：地理科学与资源研究所

浏览0
下载0
收藏0
其他版本

除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。