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  Modeling surge dynamics improves coastal flood estimates in a global set of tropical cyclones

Vogt, T., Treu, S., Mengel, M., Frieler, K., Otto, C. (2024): Modeling surge dynamics improves coastal flood estimates in a global set of tropical cyclones. - Communications Earth and Environment, 5, 529.
https://doi.org/10.1038/s43247-024-01707-x

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???ViewItemFull_lblCiteItemAs???: https://publications.pik-potsdam.de/pubman/item/item_30285 ???ViewItemFull_lblCiteItemVersionAs???: https://publications.pik-potsdam.de/pubman/item/item_30285_1
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Vogt_et_al-2024-Communications_Earth_&_Environment.pdf (???ENUM_CONTENTCATEGORY_publisher-version???), 4???ViewItemMedium_lblFileSizeMB???
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https://publications.pik-potsdam.de/pubman/item/item_30285_1/component/file_30286/Vogt_et_al-2024-Communications_Earth_%26_Environment.pdf
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http://creativecommons.org/licenses/by/4.0/

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https://doi.org/10.5281/zenodo.10419306 (???ENUM_CONTENTCATEGORY_supplementary-material???)
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Data
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 ???ViewItemFull_lblCreators???:
Vogt, Thomas1, ???ENUM_CREATORROLE_AUTHOR???           
Treu, Simon1, ???ENUM_CREATORROLE_AUTHOR???           
Mengel, Matthias1, ???ENUM_CREATORROLE_AUTHOR???           
Frieler, Katja1, ???ENUM_CREATORROLE_AUTHOR???           
Otto, Christian1, ???ENUM_CREATORROLE_AUTHOR???           
???ViewItemFull_lblAffiliations???:
1Potsdam Institute for Climate Impact Research, ou_persistent13              

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 ???ViewItemFull_lblAbstract???: Tropical cyclone-induced storm surge is a major coastal risk, which will be further amplified by rising
sea levels under global warming. Here, we present a computational efficient, globally applicable
modeling approach in which ocean surge and coastal inundation dynamics are modeled in a single
step by the open-source solver GeoClaw. We compare our approach to two state-of-the-art, globally
applicable approaches: (i) using a static inundation model to translate coastal water level time series
from a full-scale physical ocean dynamics into inundated areas, and (ii) a fully static approach directly
mapping wind fields to inundation areas. For a global set of 71 storms, we compare the modeled
flooded areas to satellite-based floodplain observations. We find that, overall, the models have only
moderate skill in reproducing the observed floodplains. GeoClaw performs better than the two other
modeling approaches that lack a process-based representation of inundation dynamics. The
computational efficiency of the presented approach opens up new perspectives for global
assessments of coastal risks from tropical cyclones.

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???ViewItemFull_lblLanguages???: eng - English
 ???ViewItemFull_lblDates???: 2024-01-082024-09-172024-09-272024-09-27
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 ???ViewItemFull_lblIdentifiers???: ???ENUM_IDENTIFIERTYPE_DOI???: 10.1038/s43247-024-01707-x
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???ENUM_IDENTIFIERTYPE_MODELMETHOD???: Quantitative Methods
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???project_info_title??? : SLICE
???project_info_grant_id??? : 01LA1829A
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???project_info_funding_info_organization_title??? : Bundesministerium für Bildung und Forschung (BMBF)
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???project_info_grant_id??? : 01LP1907A
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???project_info_funding_info_organization_title??? : Bundesministerium für Bildung und Forschung (BMBF)
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???project_info_funding_info_program_title??? : Horizon Europe (HE)
???project_info_funding_info_organization_title??? : European Commission (EC)
???project_info_title??? : TipESM
???project_info_grant_id??? : 01137673
???project_info_funding_info_program_title??? : Horizon Europe (HE)
???project_info_funding_info_organization_title??? : European Commission (EC)

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???ViewItemFull_lblSourceTitle???: Communications Earth and Environment
???ViewItemFull_lblSourceGenre???: ???ENUM_GENRE_JOURNAL???, SCI, Scopus, oa
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