中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Changes in storm surges based on a bias-adjusted reconstruction dataset from 1900 to 2010

文献类型:期刊论文

作者Feng, Jianlong3,4; Li, Delei1,2; Dang, Wen4; Zhao, Liang3,4
刊名JOURNAL OF HYDROLOGY
出版日期2023-02-01
卷号617页码:10
ISSN号0022-1694
关键词Storm surge Climate change Quantile delta mapping method
DOI10.1016/j.jhydrol.2022.128759
通讯作者Zhao, Liang(zhaoliang@tust.edu.cn)
英文摘要To increase our understanding of multidecadal and longer-term variations in storm surges around the world, we require long-term and trustworthy data. The quantile delta mapping method was used to rectify the statistical biases of storm surge levels using data-driven methodologies to produce high-quality data on long-term storm surge levels. The results showed that the bias-adjusted surge levels were better than those from the raw ERA-20C reconstruction. Bias-adjusted surge levels indicated that most tide gauges globally showed an overall positive trend from 1900 to 2010, and more extreme storm surges occurred after the 1960s. The El Nin similar to o-Southern Oscillation (ENSO) has been identified as one of the key climate patterns influencing storm surges globally, especially at tide gauges around the Pacific Ocean coast in North America, the northwestern Atlantic Ocean, and the Mediterranean Sea. At regions of the Mediterranean Sea, northwestern Atlantic, and Pacific in North America, the North Atlantic Oscillation (NAO) and Arctic Oscillation (AO) were significantly negatively corre-lated with storm surge. In contrast, the storm surges along the coast of northern Europe were considerably positively correlated with the AO. Storm surges were positively correlated with the Atlantic Multidecadal Oscillation (AMO) at various tide gauges along the Mediterranean coasts, the northwestern Atlantic and Pacific coasts of North America.
WOS关键词CLIMATE MODEL ; EAST-COAST ; VARIABILITY ; IMPACT ; PRECIPITATION ; EXTREMES ; PERFORMANCE ; INTENSITY ; TYPHOONS ; PACIFIC
资助项目National Natural Science Foundation of China[42176198]
WOS研究方向Engineering ; Geology ; Water Resources
语种英语
出版者ELSEVIER
WOS记录号WOS:000908420800004
源URL[http://ir.qdio.ac.cn/handle/337002/183314]  
专题海洋研究所_海洋环流与波动重点实验室
通讯作者Zhao, Liang
作者单位1.Chinese Acad Sci, Ctr Ocean Mega Sci, Qingdao, Peoples R China
2.Chinese Acad Sci, Inst Oceanol, CAS Key Lab Ocean Circulat & Waves, Qingdao, Peoples R China
3.Tianjin Univ Sci & Technol, Coll Marine & Environm Sci, Tianjin 300457, Peoples R China
4.Tianjin Univ Sci & Technol, Key Lab Marine Resource Chem & Food Technol TUST, Tianjin 300457, Peoples R China
推荐引用方式
GB/T 7714
Feng, Jianlong,Li, Delei,Dang, Wen,et al. Changes in storm surges based on a bias-adjusted reconstruction dataset from 1900 to 2010[J]. JOURNAL OF HYDROLOGY,2023,617:10.
APA Feng, Jianlong,Li, Delei,Dang, Wen,&Zhao, Liang.(2023).Changes in storm surges based on a bias-adjusted reconstruction dataset from 1900 to 2010.JOURNAL OF HYDROLOGY,617,10.
MLA Feng, Jianlong,et al."Changes in storm surges based on a bias-adjusted reconstruction dataset from 1900 to 2010".JOURNAL OF HYDROLOGY 617(2023):10.

入库方式: OAI收割

来源:海洋研究所

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。