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...

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Bibliographic Details
Published in:Journal of Hydrology
Main Authors: Feng, Jianlong, Li, Delei, Dang, Wen, Zhao, Liang
Format: Report
Language:English
Published: ELSEVIER 2023
Subjects:
Online Access:http://ir.qdio.ac.cn/handle/337002/181328
https://doi.org/10.1016/j.jhydrol.2022.128759
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spelling 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
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