Modeling surge dynamics improves coastal flood estimates in a global set of tropical cyclones
Year: 2024
Type: article
Abstract: 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.
Institution: Potsdam Institute for Climate Impact Research
Language: English
Subfield: Atmospheric Science
Field: Earth and Planetary Sciences
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $3,290
Awards: COMPound extremes Attribution of climate change: towardS an operational Service, Exploring Tipping Points and Their Impacts Using Earth System Models, Assessment of Cross(X)-sectoral climate Impacts and pathways for Sustainable transformation, Verbundprojekt AXIS: Klimaschäden und Klimapolitik in heterogenen Gesellschaften (CHIPS) - Teilprojekt 1: Neue Schadensfunktionen und Verteilungseffekte in Integrierten Bewertungsmodellen, Ökonomie des Klimawandels - Verbundprojekt: Kurz- und Langzeitfolgen von Klimaextremen (SLICE) - Teilprojekt 1: Beurteilung von Klimafolgen, ökonomische Modellierung und Projektkoordination, ClimXtreme Modul C - Einzelprojekt: Quantifizierung direkter und indirekter Kosten klimabedingter Naturgefahren (QUIDIC)
OpenAlex ID: W4402907209
