Constraining extreme storm surges along the European coasts from a large ensemble of climate models

[thumbnail of Open Access]
Preview
Text (Open Access)
- Published Version
ยท Available under License Creative Commons Attribution.

Please see our End User Agreement.

It is advisable to refer to the publisher's version if you intend to cite from this work. See Guidance on citing.

Add to AnyAdd to TwitterAdd to FacebookAdd to LinkedinAdd to PinterestAdd to Email

Marcos, M., Agulles, M., Amores, A., Feng, X. ORCID: https://orcid.org/0000-0003-4143-107X and Robson, J. ORCID: https://orcid.org/0000-0002-3467-018X (2025) Constraining extreme storm surges along the European coasts from a large ensemble of climate models. Journal of Geophysical Research: Oceans, 130 (12). e2025JC022863. ISSN 2169-9291 doi: 10.1029/2025JC022863

Abstract/Summary

The storm surge contribution to extreme sea levels along the European coastlines is investigated using hydrodynamic numerical simulations forced by atmospheric pressure and surface winds from a large ensemble of initialized climate models from the Decadal Climate Prediction Project experiment. The outputs, representative of the climate since 1960, amount for a total of $ > $8,000 years of data, thus increasing significantly the sampling size of extreme simulated events compared to typical decadal-long hydrodynamic hindcasts. The extended DCPP-forced storm surge data set, once bias-corrected, provides information on the probability of storm surges that are plausible in Europe in the current climate but for which there is no observational evidence. Our results show that these unprecedented extreme events are on average 20% larger than the observed maxima, with values reaching up to 1 m. The new data set also enables the uncertainties in the probabilities to be constrained significantly (e.g., up to two orders of magnitude for 500-year return periods). This permits a more robust quantification of coastal hazards and risks, particularly for the most extreme events with return periods that are substantially longer that the observational records.

Altmetric Badge

Item Type Article
URI https://centaur.reading.ac.uk/id/eprint/127251
Identification Number/DOI 10.1029/2025JC022863
Refereed Yes
Divisions Science > School of Mathematical, Physical and Computational Sciences > NCAS
Science > School of Mathematical, Physical and Computational Sciences > Department of Meteorology
Uncontrolled Keywords storm surges, unprecedented extremes, climate models, hydrodynamic models
Publisher American Geophysical Union
Download/View statistics View download statistics for this item

Downloads

Downloads per month over past year

University Staff: Request a correction | Centaur Editors: Update this record