Tide and skew surge independence: New insights for flood risk

Storm surges are a significant hazard to coastal communities around the world, putting lives at risk and costing billions of dollars in damage. Understanding how storm surges and high tides interact is crucial for estimating extreme water levels so that we can protect coastal communities. We demonst...

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Bibliographic Details
Published inGeophysical research letters Vol. 43; no. 12; pp. 6410 - 6417
Main Authors Williams, Joanne, Horsburgh, Kevin J., Williams, Jane A., Proctor, Robert N. F.
Format Journal Article
LanguageEnglish
Published Washington John Wiley & Sons, Inc 28.06.2016
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Summary:Storm surges are a significant hazard to coastal communities around the world, putting lives at risk and costing billions of dollars in damage. Understanding how storm surges and high tides interact is crucial for estimating extreme water levels so that we can protect coastal communities. We demonstrate that in a tidal regime the best measure of a storm surge is the skew surge, the difference between the observed and predicted high water within a tidal cycle. Based on tide gauge records spanning decades from the UK, U.S., Netherlands, and Ireland we show that the magnitude of high water exerts no influence on the size of the most extreme skew surges. This is the first systematic proof that any storm surge can occur on any tide, which is essential for understanding worst‐case scenarios. The lack of surge generation dependency on water depth emphasizes the dominant natural variability of weather systems in an observation‐based analysis. Weak seasonal relationships between skew surges and high waters were identified at a minority of locations where long‐period changes to the tidal cycle interact with the storm season. Our results allow advances to be made in methods for estimating the joint probabilities of storm surges and tides. Key Points Skew surge is the best metric of storm surge in a tidal regime Any skew surge can coincide with any tide Where seasonal relationships exist, they should be included in risk predictions
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ISSN:0094-8276
1944-8007
DOI:10.1002/2016GL069522