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...
Main Authors: | , , , , , |
---|---|
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 |
id |
ftsouthampton:oai:eprints.soton.ac.uk:478369 |
---|---|
record_format |
openpolar |
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 |
op_collection_id |
ftsouthampton |
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 |
_version_ |
1784259953984274432 |