The Role of Mean Sea Level Annual Cycle on Extreme Water Levels Along European Coastline

The knowledge of extreme total water levels (ETWLs) and the derived impact, coastal flooding and erosion, is crucial to face the present and future challenges exacerbated in European densely populated coastal areas. Based on 24 years (1993–2016) of multimission radar altimetry, this paper investigat...

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Published in:Remote Sensing
Main Authors: Tomás Fernández-Montblanc, Jesús Gómez-Enri, Paolo Ciavola
Format: Text
Language:English
Published: Multidisciplinary Digital Publishing Institute 2020
Subjects:
Online Access:https://doi.org/10.3390/rs12203419
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spelling ftmdpi:oai:mdpi.com:/2072-4292/12/20/3419/ 2023-08-20T04:08:30+02:00 The Role of Mean Sea Level Annual Cycle on Extreme Water Levels Along European Coastline Tomás Fernández-Montblanc Jesús Gómez-Enri Paolo Ciavola agris 2020-10-18 application/pdf https://doi.org/10.3390/rs12203419 EN eng Multidisciplinary Digital Publishing Institute Ocean Remote Sensing https://dx.doi.org/10.3390/rs12203419 https://creativecommons.org/licenses/by/4.0/ Remote Sensing; Volume 12; Issue 20; Pages: 3419 storm surge coastal flooding marine storms natural hazards steric-effect satellite altimetry Text 2020 ftmdpi https://doi.org/10.3390/rs12203419 2023-08-01T00:18:19Z The knowledge of extreme total water levels (ETWLs) and the derived impact, coastal flooding and erosion, is crucial to face the present and future challenges exacerbated in European densely populated coastal areas. Based on 24 years (1993–2016) of multimission radar altimetry, this paper investigates the contribution of each water level component: tide, surge and annual cycle of monthly mean sea level (MMSL) to the ETWLs. It focuses on the contribution of the annual variation of MMSL in the coastal flooding extreme events registered in a European database. In microtidal areas (Black, Baltic and Mediterranean Sea), the MMSL contribution is mostly larger than tide, and it can be at the same order of magnitude of the surge. In meso and macrotidal areas, the MMSL contribution is <20% of the total water level, but larger (>30%) in the North Sea. No correlation was observed between the average annual cycle of monthly mean sea level (AMMSL) and coastal flooding extreme events (CFEEs) along the European coastal line. Positive correlations of the component variance of MMSL with the relative frequency of CFEEs extend to the Central Mediterranean (r = 0.59), North Sea (r = 0.60) and Baltic Sea (r = 0.75). In the case of positive MMSL anomalies, the correlation expands to the Bay of Biscay and northern North Atlantic (at >90% of statistical significance). The understanding of the spatial and temporal patterns of a combination of all the components of the ETWLs shall improve the preparedness and coastal adaptation measures to reduce the impact of coastal flooding. Text North Atlantic MDPI Open Access Publishing Remote Sensing 12 20 3419
institution Open Polar
collection MDPI Open Access Publishing
op_collection_id ftmdpi
language English
topic storm surge
coastal flooding
marine storms
natural hazards
steric-effect
satellite altimetry
spellingShingle storm surge
coastal flooding
marine storms
natural hazards
steric-effect
satellite altimetry
Tomás Fernández-Montblanc
Jesús Gómez-Enri
Paolo Ciavola
The Role of Mean Sea Level Annual Cycle on Extreme Water Levels Along European Coastline
topic_facet storm surge
coastal flooding
marine storms
natural hazards
steric-effect
satellite altimetry
description The knowledge of extreme total water levels (ETWLs) and the derived impact, coastal flooding and erosion, is crucial to face the present and future challenges exacerbated in European densely populated coastal areas. Based on 24 years (1993–2016) of multimission radar altimetry, this paper investigates the contribution of each water level component: tide, surge and annual cycle of monthly mean sea level (MMSL) to the ETWLs. It focuses on the contribution of the annual variation of MMSL in the coastal flooding extreme events registered in a European database. In microtidal areas (Black, Baltic and Mediterranean Sea), the MMSL contribution is mostly larger than tide, and it can be at the same order of magnitude of the surge. In meso and macrotidal areas, the MMSL contribution is <20% of the total water level, but larger (>30%) in the North Sea. No correlation was observed between the average annual cycle of monthly mean sea level (AMMSL) and coastal flooding extreme events (CFEEs) along the European coastal line. Positive correlations of the component variance of MMSL with the relative frequency of CFEEs extend to the Central Mediterranean (r = 0.59), North Sea (r = 0.60) and Baltic Sea (r = 0.75). In the case of positive MMSL anomalies, the correlation expands to the Bay of Biscay and northern North Atlantic (at >90% of statistical significance). The understanding of the spatial and temporal patterns of a combination of all the components of the ETWLs shall improve the preparedness and coastal adaptation measures to reduce the impact of coastal flooding.
format Text
author Tomás Fernández-Montblanc
Jesús Gómez-Enri
Paolo Ciavola
author_facet Tomás Fernández-Montblanc
Jesús Gómez-Enri
Paolo Ciavola
author_sort Tomás Fernández-Montblanc
title The Role of Mean Sea Level Annual Cycle on Extreme Water Levels Along European Coastline
title_short The Role of Mean Sea Level Annual Cycle on Extreme Water Levels Along European Coastline
title_full The Role of Mean Sea Level Annual Cycle on Extreme Water Levels Along European Coastline
title_fullStr The Role of Mean Sea Level Annual Cycle on Extreme Water Levels Along European Coastline
title_full_unstemmed The Role of Mean Sea Level Annual Cycle on Extreme Water Levels Along European Coastline
title_sort role of mean sea level annual cycle on extreme water levels along european coastline
publisher Multidisciplinary Digital Publishing Institute
publishDate 2020
url https://doi.org/10.3390/rs12203419
op_coverage agris
genre North Atlantic
genre_facet North Atlantic
op_source Remote Sensing; Volume 12; Issue 20; Pages: 3419
op_relation Ocean Remote Sensing
https://dx.doi.org/10.3390/rs12203419
op_rights https://creativecommons.org/licenses/by/4.0/
op_doi https://doi.org/10.3390/rs12203419
container_title Remote Sensing
container_volume 12
container_issue 20
container_start_page 3419
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