Spatial footprints of storm surges along the global coastlines
Spatial footprints of storm surges along the global coastlines
We perform the first global analysis of the spatial footprints of storm surges, using observed and simulated storm surge data. Three different techniques are applied to quantify the spatial footprints: clustering analysis, percentage of co-occurrence, and joint probability analysis. The capability of the simulated data to represent the observed storm surge footprints is demonstrated. Results lead to the identification of coastline stretches prone to be impacted simultaneously by the same storm surge events. The spatial footprint sizes differ around the globe, partially conditioned by the geography of the coastline, that is, more irregular coastlines consist of a larger number of different storm surge clusters with varying footprint sizes. For the northwestern Atlantic, spatial footprints of storm surges vary when specifically accounting for tropical cyclones, using storm track information in the storm surge simulations. Our results provide important new insights into the spatial footprints of storm surges at the global scale and will help to facilitate improvements in how coastal flood risk is identified, assessed, and managed, by taking these spatial features into account.
Copula analysis, K-Means, Spatial footprints, Storm surges, Validation
Enríquez, Alejandra R.
8f3d3f7a-5879-4b61-bac6-85ab386975e7
Wahl, Thomas
6506794a-1f35-4803-b7f7-98702e57e667
Marcos, Marta
e9449b6f-834c-4239-8bb7-b611a0062412
Haigh, Ivan D.
945ff20a-589c-47b7-b06f-61804367eb2d
1 September 2020
Enríquez, Alejandra R.
8f3d3f7a-5879-4b61-bac6-85ab386975e7
Wahl, Thomas
6506794a-1f35-4803-b7f7-98702e57e667
Marcos, Marta
e9449b6f-834c-4239-8bb7-b611a0062412
Haigh, Ivan D.
945ff20a-589c-47b7-b06f-61804367eb2d
Enríquez, Alejandra R., Wahl, Thomas, Marcos, Marta and Haigh, Ivan D.
(2020)
Spatial footprints of storm surges along the global coastlines.
Journal of Geophysical Research: Oceans, 125 (9), [e2020JC016367].
(doi:10.1029/2020JC016367).
Abstract
We perform the first global analysis of the spatial footprints of storm surges, using observed and simulated storm surge data. Three different techniques are applied to quantify the spatial footprints: clustering analysis, percentage of co-occurrence, and joint probability analysis. The capability of the simulated data to represent the observed storm surge footprints is demonstrated. Results lead to the identification of coastline stretches prone to be impacted simultaneously by the same storm surge events. The spatial footprint sizes differ around the globe, partially conditioned by the geography of the coastline, that is, more irregular coastlines consist of a larger number of different storm surge clusters with varying footprint sizes. For the northwestern Atlantic, spatial footprints of storm surges vary when specifically accounting for tropical cyclones, using storm track information in the storm surge simulations. Our results provide important new insights into the spatial footprints of storm surges at the global scale and will help to facilitate improvements in how coastal flood risk is identified, assessed, and managed, by taking these spatial features into account.
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2020JC016367
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Accepted/In Press date: 8 August 2020
e-pub ahead of print date: 25 August 2020
Published date: 1 September 2020
Keywords:
Copula analysis, K-Means, Spatial footprints, Storm surges, Validation
Identifiers
Local EPrints ID: 446401
URI: http://eprints.soton.ac.uk/id/eprint/446401
ISSN: 2169-9275
PURE UUID: 3aa54463-fd87-4887-a9b9-8f3994e9f395
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Date deposited: 05 Feb 2021 17:33
Last modified: 17 Mar 2024 05:58
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Author:
Alejandra R. Enríquez
Author:
Marta Marcos
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