A Pan-European high resolution storm surge hindcast
This contribution presents the high-resolution Pan-European storm surge (SSL) dataset, ANYEU-SSL, produced with the SCHISM circulation model. The dataset covers 40 years (1979–2018) of SSL data along the European coastline with 3-hour temporal resolution and has been extensively validated for the pe...
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Format: | Article |
Language: | English |
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Elsevier
2020-02-01
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Series: | Environment International |
Online Access: | http://www.sciencedirect.com/science/article/pii/S0160412019324055 |
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author | T. Fernández-Montblanc M.I. Vousdoukas L. Mentaschi P. Ciavola |
author_facet | T. Fernández-Montblanc M.I. Vousdoukas L. Mentaschi P. Ciavola |
author_sort | T. Fernández-Montblanc |
collection | DOAJ |
description | This contribution presents the high-resolution Pan-European storm surge (SSL) dataset, ANYEU-SSL, produced with the SCHISM circulation model. The dataset covers 40 years (1979–2018) of SSL data along the European coastline with 3-hour temporal resolution and has been extensively validated for the period spanning from 1979 to 2016, considering the whole time series, as well as for the extreme SSL values. Validation against tidal gauge data shows an average RMSE of 0.10 m, and RMSE below 0.12 m in 75% of the tidal gauges. Comparisons with satellite altimetry data show average RMSE of 0.07 m. SSL trends are estimated as an example of a potential application case of the dataset. The results indicate an overall latitudinal gradient in the trend of the extreme storm surge magnitude for the period 1979–2016. SSLs appear to increase in areas with latitudes >50 °N and to decrease in the lower latitudes. Additionally, a seasonal variation of the extreme SSL, particularly strong in the northern areas, has been observed. The dataset is publicly available and aspires to provide the scientific community with an important data source for the study of storm surge phenomena and consequential impacts, either on large or local scales. Keywords: Storm surge, Coastal flooding, Marine storms, Natural hazards, Numerical modelling |
first_indexed | 2024-12-11T19:16:32Z |
format | Article |
id | doaj.art-4eb0ef02bdbc41d495c9f68de0154bcf |
institution | Directory Open Access Journal |
issn | 0160-4120 |
language | English |
last_indexed | 2024-12-11T19:16:32Z |
publishDate | 2020-02-01 |
publisher | Elsevier |
record_format | Article |
series | Environment International |
spelling | doaj.art-4eb0ef02bdbc41d495c9f68de0154bcf2022-12-22T00:53:38ZengElsevierEnvironment International0160-41202020-02-01135A Pan-European high resolution storm surge hindcastT. Fernández-Montblanc0M.I. Vousdoukas1L. Mentaschi2P. Ciavola3Universitá degli Studi di Ferrara, Department of Physics and Earth Sciences, Via Saragat, 1. 44122 Ferrara, Italy; Corresponding author.European Commission, Joint Research Centre (JRC), Via Enrico Fermi 2749, I-21027 Ispra, ItalyEuropean Commission, Joint Research Centre (JRC), Via Enrico Fermi 2749, I-21027 Ispra, ItalyUniversitá degli Studi di Ferrara, Department of Physics and Earth Sciences, Via Saragat, 1. 44122 Ferrara, ItalyThis contribution presents the high-resolution Pan-European storm surge (SSL) dataset, ANYEU-SSL, produced with the SCHISM circulation model. The dataset covers 40 years (1979–2018) of SSL data along the European coastline with 3-hour temporal resolution and has been extensively validated for the period spanning from 1979 to 2016, considering the whole time series, as well as for the extreme SSL values. Validation against tidal gauge data shows an average RMSE of 0.10 m, and RMSE below 0.12 m in 75% of the tidal gauges. Comparisons with satellite altimetry data show average RMSE of 0.07 m. SSL trends are estimated as an example of a potential application case of the dataset. The results indicate an overall latitudinal gradient in the trend of the extreme storm surge magnitude for the period 1979–2016. SSLs appear to increase in areas with latitudes >50 °N and to decrease in the lower latitudes. Additionally, a seasonal variation of the extreme SSL, particularly strong in the northern areas, has been observed. The dataset is publicly available and aspires to provide the scientific community with an important data source for the study of storm surge phenomena and consequential impacts, either on large or local scales. Keywords: Storm surge, Coastal flooding, Marine storms, Natural hazards, Numerical modellinghttp://www.sciencedirect.com/science/article/pii/S0160412019324055 |
spellingShingle | T. Fernández-Montblanc M.I. Vousdoukas L. Mentaschi P. Ciavola A Pan-European high resolution storm surge hindcast Environment International |
title | A Pan-European high resolution storm surge hindcast |
title_full | A Pan-European high resolution storm surge hindcast |
title_fullStr | A Pan-European high resolution storm surge hindcast |
title_full_unstemmed | A Pan-European high resolution storm surge hindcast |
title_short | A Pan-European high resolution storm surge hindcast |
title_sort | pan european high resolution storm surge hindcast |
url | http://www.sciencedirect.com/science/article/pii/S0160412019324055 |
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