Changes in storm surges based on a bias-adjusted reconstruction dataset from 1900 to 2010
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-qua...
Published in: | Journal of Hydrology |
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ftchinacasciocas:oai:ir.qdio.ac.cn:337002/181328 2023-11-12T04:13:28+01:00 Changes in storm surges based on a bias-adjusted reconstruction dataset from 1900 to 2010 Feng, Jianlong Li, Delei Dang, Wen Zhao, Liang 2023-02-01 http://ir.qdio.ac.cn/handle/337002/181328 https://doi.org/10.1016/j.jhydrol.2022.128759 英语 eng ELSEVIER JOURNAL OF HYDROLOGY http://ir.qdio.ac.cn/handle/337002/181328 doi:10.1016/j.jhydrol.2022.128759 Storm surge Climate change Quantile delta mapping method Engineering Geology Water Resources Civil Geosciences Multidisciplinary CLIMATE MODEL EAST-COAST VARIABILITY IMPACT PRECIPITATION EXTREMES PERFORMANCE INTENSITY TYPHOONS PACIFIC 期刊论文 2023 ftchinacasciocas https://doi.org/10.1016/j.jhydrol.2022.128759 2023-10-15T16:07:14Z 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. Report Arctic Climate change North Atlantic North Atlantic oscillation Institute of Oceanology, Chinese Academy of Sciences: IOCAS-IR Arctic Pacific Journal of Hydrology 617 128759 |
institution |
Open Polar |
collection |
Institute of Oceanology, Chinese Academy of Sciences: IOCAS-IR |
op_collection_id |
ftchinacasciocas |
language |
English |
topic |
Storm surge Climate change Quantile delta mapping method Engineering Geology Water Resources Civil Geosciences Multidisciplinary CLIMATE MODEL EAST-COAST VARIABILITY IMPACT PRECIPITATION EXTREMES PERFORMANCE INTENSITY TYPHOONS PACIFIC |
spellingShingle |
Storm surge Climate change Quantile delta mapping method Engineering Geology Water Resources Civil Geosciences Multidisciplinary CLIMATE MODEL EAST-COAST VARIABILITY IMPACT PRECIPITATION EXTREMES PERFORMANCE INTENSITY TYPHOONS PACIFIC Feng, Jianlong Li, Delei Dang, Wen Zhao, Liang Changes in storm surges based on a bias-adjusted reconstruction dataset from 1900 to 2010 |
topic_facet |
Storm surge Climate change Quantile delta mapping method Engineering Geology Water Resources Civil Geosciences Multidisciplinary CLIMATE MODEL EAST-COAST VARIABILITY IMPACT PRECIPITATION EXTREMES PERFORMANCE INTENSITY TYPHOONS PACIFIC |
description |
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. |
format |
Report |
author |
Feng, Jianlong Li, Delei Dang, Wen Zhao, Liang |
author_facet |
Feng, Jianlong Li, Delei Dang, Wen Zhao, Liang |
author_sort |
Feng, Jianlong |
title |
Changes in storm surges based on a bias-adjusted reconstruction dataset from 1900 to 2010 |
title_short |
Changes in storm surges based on a bias-adjusted reconstruction dataset from 1900 to 2010 |
title_full |
Changes in storm surges based on a bias-adjusted reconstruction dataset from 1900 to 2010 |
title_fullStr |
Changes in storm surges based on a bias-adjusted reconstruction dataset from 1900 to 2010 |
title_full_unstemmed |
Changes in storm surges based on a bias-adjusted reconstruction dataset from 1900 to 2010 |
title_sort |
changes in storm surges based on a bias-adjusted reconstruction dataset from 1900 to 2010 |
publisher |
ELSEVIER |
publishDate |
2023 |
url |
http://ir.qdio.ac.cn/handle/337002/181328 https://doi.org/10.1016/j.jhydrol.2022.128759 |
geographic |
Arctic Pacific |
geographic_facet |
Arctic Pacific |
genre |
Arctic Climate change North Atlantic North Atlantic oscillation |
genre_facet |
Arctic Climate change North Atlantic North Atlantic oscillation |
op_relation |
JOURNAL OF HYDROLOGY http://ir.qdio.ac.cn/handle/337002/181328 doi:10.1016/j.jhydrol.2022.128759 |
op_doi |
https://doi.org/10.1016/j.jhydrol.2022.128759 |
container_title |
Journal of Hydrology |
container_volume |
617 |
container_start_page |
128759 |
_version_ |
1782331456236814336 |