Application of a global coastal regional frequency analysis

Inundation from storm tides and ocean waves is one of the greatest threats coastal communities endure; a threat that is increasing with sea-level rise and changes in storminess. Stakeholders require high resolution hazard data to make informed decisions on how best to mitigate and adapt to coastal f...

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Main Authors: Collings, Thomas, Quinn, Niall, Haigh, Ivan, Green, Joshua, Probyn, Izzy, Wilkinson, Hamish
Format: Conference Object
Language:English
Published: 2023
Subjects:
Online Access:https://eprints.soton.ac.uk/478369/
https://eprints.soton.ac.uk/478369/1/EGU23_8604_print.pdf
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spelling ftsouthampton:oai:eprints.soton.ac.uk:478369 2023-12-03T10:13:14+01:00 Application of a global coastal regional frequency analysis Collings, Thomas Quinn, Niall Haigh, Ivan Green, Joshua Probyn, Izzy Wilkinson, Hamish 2023-06-29 text https://eprints.soton.ac.uk/478369/ https://eprints.soton.ac.uk/478369/1/EGU23_8604_print.pdf en English eng https://eprints.soton.ac.uk/478369/1/EGU23_8604_print.pdf Collings, Thomas, Quinn, Niall, Haigh, Ivan, Green, Joshua, Probyn, Izzy and Wilkinson, Hamish (2023) Application of a global coastal regional frequency analysis. EGU General Assembly, , Vienna, Austria. 24 - 28 Apr 2023. 1 pp . (doi:10.5194/egusphere-egu23-8604 <http://dx.doi.org/10.5194/egusphere-egu23-8604>). cc_by_4 Conference or Workshop Item PeerReviewed 2023 ftsouthampton https://doi.org/10.5194/egusphere-egu23-8604 2023-11-03T00:08:48Z Inundation from storm tides and ocean waves is one of the greatest threats coastal communities endure; a threat that is increasing with sea-level rise and changes in storminess. Stakeholders require high resolution hazard data to make informed decisions on how best to mitigate and adapt to coastal flooding. Using a synthesis of observational, hindcast and modelled data, we apply a regional frequency analysis (RFA) approach to characterise extreme water level exceedance probabilities across all global coastlines. This is the first time an RFA has been applied to coastal water levels on a global scale. Wave setup is included in regions which are considered exposed to onshore wave action. The RFA is shown to increase return levels in areas prone to tropical cyclones. Using Cyclone Yasi as a case-study, we detail the RFA methodology and demonstrate how it uses information from rare, extreme events to better characterise return period water levels in areas which haven’t yet been impacted in the observational record, simply due to chance. The results are output at approximate 1km resolution along the entire global coastline (excluding Antarctica) and have been corrected for use with digital elevation models, for applications such as inundation modelling. Conference Object Antarc* Antarctica University of Southampton: e-Prints Soton
institution Open Polar
collection University of Southampton: e-Prints Soton
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language English
description Inundation from storm tides and ocean waves is one of the greatest threats coastal communities endure; a threat that is increasing with sea-level rise and changes in storminess. Stakeholders require high resolution hazard data to make informed decisions on how best to mitigate and adapt to coastal flooding. Using a synthesis of observational, hindcast and modelled data, we apply a regional frequency analysis (RFA) approach to characterise extreme water level exceedance probabilities across all global coastlines. This is the first time an RFA has been applied to coastal water levels on a global scale. Wave setup is included in regions which are considered exposed to onshore wave action. The RFA is shown to increase return levels in areas prone to tropical cyclones. Using Cyclone Yasi as a case-study, we detail the RFA methodology and demonstrate how it uses information from rare, extreme events to better characterise return period water levels in areas which haven’t yet been impacted in the observational record, simply due to chance. The results are output at approximate 1km resolution along the entire global coastline (excluding Antarctica) and have been corrected for use with digital elevation models, for applications such as inundation modelling.
format Conference Object
author Collings, Thomas
Quinn, Niall
Haigh, Ivan
Green, Joshua
Probyn, Izzy
Wilkinson, Hamish
spellingShingle Collings, Thomas
Quinn, Niall
Haigh, Ivan
Green, Joshua
Probyn, Izzy
Wilkinson, Hamish
Application of a global coastal regional frequency analysis
author_facet Collings, Thomas
Quinn, Niall
Haigh, Ivan
Green, Joshua
Probyn, Izzy
Wilkinson, Hamish
author_sort Collings, Thomas
title Application of a global coastal regional frequency analysis
title_short Application of a global coastal regional frequency analysis
title_full Application of a global coastal regional frequency analysis
title_fullStr Application of a global coastal regional frequency analysis
title_full_unstemmed Application of a global coastal regional frequency analysis
title_sort application of a global coastal regional frequency analysis
publishDate 2023
url https://eprints.soton.ac.uk/478369/
https://eprints.soton.ac.uk/478369/1/EGU23_8604_print.pdf
genre Antarc*
Antarctica
genre_facet Antarc*
Antarctica
op_relation https://eprints.soton.ac.uk/478369/1/EGU23_8604_print.pdf
Collings, Thomas, Quinn, Niall, Haigh, Ivan, Green, Joshua, Probyn, Izzy and Wilkinson, Hamish (2023) Application of a global coastal regional frequency analysis. EGU General Assembly, , Vienna, Austria. 24 - 28 Apr 2023. 1 pp . (doi:10.5194/egusphere-egu23-8604 <http://dx.doi.org/10.5194/egusphere-egu23-8604>).
op_rights cc_by_4
op_doi https://doi.org/10.5194/egusphere-egu23-8604
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