Articles | Volume 26, issue 8
https://doi.org/10.5194/nhess-26-3919-2026
https://doi.org/10.5194/nhess-26-3919-2026
Research article
 | 
19 Aug 2026
Research article |  | 19 Aug 2026

Investigating metamodeling capability to predict sea levels and marine flooding maps for early-warning systems: application on the Arcachon Lagoon (France)

Sophie Lecacheux, Jeremy Rohmer, Eva Membrado, Rodrigo Pedreros, Andrea Filippini, Deborah Idier, Servane Gueben-Vénière, Denis Paradis, Alice Dalphinet, and David Ayache

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Short summary
This study comparer three data-driven methodologies to overcome the computational burden of numerical simulations for early warning purpose. They are all based on the statistical analysis of pre-calculated databases, to downscale total sea levels and predict marine flooding maps from offshore metocean forecasts. Conclusions highlight the relevance of metamodel-based approaches for fast prediction and the added value of precalculated databases during the prepardness phase.
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