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- W4220884088 abstract "Abstract The temporal clustering of storms presents consecutive storm surge and wave hazards that can lead to amplified flood and erosional damages; thus, clustering is important for coastal stakeholders to consider. We analyse the prevalence of storm clustering around the UK coastline by examining the temporal and spatial characteristics of storm surge, wave height, and high still sea level exceedances at the 1 in 1- and 5-year return levels. First, at the interseasonal timescale, we show that there are periods of high/low exceedance counts on national and regional scales. Elevated seasonal counts of lower-magnitude exceedances can occur without a respective signal of higher-magnitude exceedances. Secondly, at the intraseasonal timescale, we show that high proportions of exceedances are clustering within seasons. Storm surge, wave height and still sea level exceedances occurring <50 days after the prior account for ~35-44% (~15-22%) of those at the 1 in 1- (5-) year return level. Still sea levels have the highest degree of clustering, with ~25% of 1 in 1-year exceedances occurring <2 days after the previous. Spatially, for UK storm surges and still sea levels, the North Sea has the lowest proportion of clustering, whereas the North Atlantic and Bristol Channel have the highest. For English wave records, the North Sea and English Channel have the highest proportion of clustered lower- and higher-magnitude exceedances, respectively. These findings illuminate the prevalence of the clustering of coastal hazards around the UK – helping coastal stakeholders evaluate the threat of surges, waves, and sea levels clustering over short periods." @default.
- W4220884088 created "2022-04-03" @default.
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- W4220884088 date "2022-03-07" @default.
- W4220884088 modified "2023-10-03" @default.
- W4220884088 title "The Temporal Clustering of Storm Surge, Wave Height, and High Sea Level Exceedances Around the UK Coastline" @default.
- W4220884088 doi "https://doi.org/10.21203/rs.3.rs-1412525/v1" @default.
- W4220884088 hasPublicationYear "2022" @default.
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