Institutional Repository of Key Laboratory of Ocean Circulation and Wave Studies, Institute of Oceanology, Chinese Academy of Sciences
Changes in storm surges based on a bias-adjusted reconstruction dataset from 1900 to 2010 | |
Feng, Jianlong1,2; Li, Delei3,4; Dang, Wen1; Zhao, Liang1,2 | |
2023-02-01 | |
发表期刊 | JOURNAL OF HYDROLOGY |
ISSN | 0022-1694 |
卷号 | 617页码:10 |
通讯作者 | Zhao, Liang([email protected]) |
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. |
关键词 | Storm surge Climate change Quantile delta mapping method |
DOI | 10.1016/j.jhydrol.2022.128759 |
收录类别 | SCI |
语种 | 英语 |
资助项目 | National Natural Science Foundation of China[42176198] |
WOS研究方向 | Engineering ; Geology ; Water Resources |
WOS类目 | Engineering, Civil ; Geosciences, Multidisciplinary ; Water Resources |
WOS记录号 | WOS:000908420800004 |
出版者 | ELSEVIER |
WOS关键词 | CLIMATE MODEL ; EAST-COAST ; VARIABILITY ; IMPACT ; PRECIPITATION ; EXTREMES ; PERFORMANCE ; INTENSITY ; TYPHOONS ; PACIFIC |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.qdio.ac.cn/handle/337002/183315 |
专题 | 海洋环流与波动重点实验室 |
通讯作者 | Zhao, Liang |
作者单位 | 1.Tianjin Univ Sci & Technol, Key Lab Marine Resource Chem & Food Technol TUST, Tianjin 300457, Peoples R China 2.Tianjin Univ Sci & Technol, Coll Marine & Environm Sci, Tianjin 300457, Peoples R China 3.Chinese Acad Sci, Inst Oceanol, CAS Key Lab Ocean Circulat & Waves, Qingdao, Peoples R China 4.Chinese Acad Sci, Ctr Ocean Mega Sci, Qingdao, 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. |
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