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Surge modelling in the Eastern Irish Sea:present and future storm impact

Brown, Jenny M. ORCID: https://orcid.org/0000-0002-3894-4651; Wolf, Judith ORCID: https://orcid.org/0000-0003-4129-8221; Souza, Alejandro J.. 2008 Surge modelling in the Eastern Irish Sea:present and future storm impact. In: PECS 2008: Physics of Estuaries and Coastal Seas, Liverpool, UK, 25-29 August 2008. Liverpool.

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Abstract/Summary

It is believed that in the future the intensity and frequency of extreme coastal flooding events will increase as a result of climate change. The Coastal Flooding by Extreme Events (CoFEE) project is investigating the flood risks in the eastern Irish Sea. This study area includes most of England’s coastal types and the project focuses on the management of the Sefton coast with its mobile dunes. The present and future flood risk posed by extreme events is being investigated using advanced modeling. Following from the model results presented here, a 10-year simulation (1996–2006) using a nested model system to simulate the wave-current interaction will be performed and validated. These data can then be used to investigate the potential of coastal flooding by waves in the study area. In order to accurately simulate the waves in the study area, we have set up a one-way nested approach from a 1° North Atlantic model, through a 1.8-km Irish Sea model, to a 180-m Liverpool Bay model, using the state-of-the-art 3rd-generation spectral Wave Model (WAM), so that any influence that swell might have in the study area will be correctly represented. At the medium resolution Irish Sea model, using a POLCOMSWAM coupled model, we examine the effects of wave-current interaction on the prediction of surges and waves at the coast compared with available data.

Item Type: Publication - Conference Item (Paper)
Programmes: Oceans 2025 > Shelf and coastal processes
Additional Keywords: POLIRISH; SURGE; WAVE-CURRENT INTERACTION; POLCOMS; WAM; IRISH SEA
NORA Subject Terms: Marine Sciences
Date made live: 16 Mar 2009 11:05 +0 (UTC)
URI: https://nora.nerc.ac.uk/id/eprint/6480

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