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Impact of storm propagation speed on coastal flood hazard induced by offshore storms in the North Sea
Indexado
WoS WOS:000490746600003
Scopus SCOPUS_ID:85072706769
DOI 10.1016/J.OCEMOD.2019.101472
Año 2019
Tipo artículo de investigación

Citas Totales

Autores Afiliación Chile

Instituciones Chile

% Participación
Internacional

Autores
Afiliación Extranjera

Instituciones
Extranjeras


Abstract



Storm propagation speed (SPS) can noticeably impact coastal floods around semi-closed basins influenced by extratropical offshore storms. As a case study, the SPS impact on potential flood hazards due to extreme water levels along the UK east coast was studied using a numerical shelf sea model (FVCOM). The storm Xaver, which caused the largest North Sea surge over the past 60 years, was studied as a base scenario. Halving/doubling the SPS results in a smaller surge and a longer/shorter surge duration. Hence, the largest peak water level was found at actual speed, while the largest potential flood hazard occurred at half speed. Tide-surge interaction tends to reduce the M2 tide along the coast and advance its propagation for all SPS. A three-dimensional semi-analytical model, including a time-periodic wind forcing, was used to investigate the dominant mechanisms behind the surge dynamics, where wind duration is directly related to the SPS. Long wind durations correspond to small SPS, and vice versa. The semi-analytical model was applied to the North Sea. The model reproduces the spatial features of the North Sea surge and its dependence on SPS, confirming the surge induced by offshore storms is primarily associated with wind set-up. Model results suggest the SPS of Xaver is likely to have contributed greatly to the occurrence of the largest North Sea surge due to wind-generated resonance. The impact of the SPS on the surge and tide-surge interaction are of great importance to coastal flood hazard assessment.

Revista



Revista ISSN
Ocean Modelling 1463-5003

Métricas Externas



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Disciplinas de Investigación



WOS
Oceanography
Meteorology & Atmospheric Sciences
Scopus
Sin Disciplinas
SciELO
Sin Disciplinas

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Publicaciones WoS (Ediciones: ISSHP, ISTP, AHCI, SSCI, SCI), Scopus, SciELO Chile.

Colaboración Institucional



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Autores - Afiliación



Ord. Autor Género Institución - País
1 Wei, Xiaoyan - Natl Oceanog Ctr - Reino Unido
National Oceanography Centre Southampton - Reino Unido
National Oceanography Centre - Reino Unido
2 Brown, Jennifer M. Mujer Natl Oceanog Ctr - Reino Unido
National Oceanography Centre Southampton - Reino Unido
National Oceanography Centre - Reino Unido
3 Williams, Joanne Mujer Natl Oceanog Ctr - Reino Unido
National Oceanography Centre Southampton - Reino Unido
National Oceanography Centre - Reino Unido
4 Thorne, Peter D. Hombre Natl Oceanog Ctr - Reino Unido
National Oceanography Centre Southampton - Reino Unido
National Oceanography Centre - Reino Unido
5 Williams, Megan Mujer Natl Oceanog Ctr - Reino Unido
Universidad Técnica Federico Santa María - Chile
National Oceanography Centre Southampton - Reino Unido
National Oceanography Centre - Reino Unido
6 Amoudry, Laurent Hombre Natl Oceanog Ctr - Reino Unido
National Oceanography Centre Southampton - Reino Unido
National Oceanography Centre - Reino Unido

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Financiamiento



Fuente
National Eye Research Centre
Natural Environment Research Council
Natural Environment Research Council (NERC, United Kingdom) BLUEcoast project
National Oceanography Centre
Scottish Shelf Sea Model

Muestra la fuente de financiamiento declarada en la publicación.

Agradecimientos



Agradecimiento
This work is funded by the Natural Environment Research Council (NERC, United Kingdom) BLUEcoast project (NE/N015 894/1). We appreciate the tide gauge data support by the British Oceanography Data Centre, tide and meteorological forcing data from the Marine Data Products team at National Oceanography Centre (NOC), and support from Michela De Dominicis and Judith Wolf on using the Scottish Shelf Sea Model. We appreciate the valuable comments from 5 reviewers, which have considerably helped to improve our paper. The model output of this study is available online at https://zenodo.org/record/1211505#.WsOG0K2E37h.
This work is funded by the Natural Environment Research Council (NERC, United Kingdom) BLUEcoast project (NE/N015894/1). We appreciate the tide gauge data support by the British Oceanography Data Centre, tide and meteorological forcing data from the Marine Data Products team at National Oceanography Centre (NOC), and support from Michela De Dominicis and Judith Wolf on using the Scottish Shelf Sea Model. We appreciate the valuable comments from 5 reviewers, which have considerably helped to improve our paper. The model output of this study is available online at https://zenodo.org/record/1211505#.WsOG0K2E37h.

Muestra la fuente de financiamiento declarada en la publicación.