An appraisal of the value of simulated weather data for quantifying coastal flood hazard in the Netherlands

de Valk, Cees; van den Brink, Henk

doi:https://doi.org/10.5194/nhess-25-1769-2025

Articles | Volume 25, issue 5

https://doi.org/10.5194/nhess-25-1769-2025

© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/nhess-25-1769-2025

© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 25, issue 5

Research article

|

28 May 2025

Research article |

| 28 May 2025

An appraisal of the value of simulated weather data for quantifying coastal flood hazard in the Netherlands

Cees de Valk and Henk van den Brink

Supplement

https://doi.org/10.5194/nhess-25-1769-2025-supplement

Data sets

ERA5 hourly data on single levels from 1940 to present Hans Hersbach et al. https://doi.org/10.24381/cds.adbb2d47

KNW-CSV-TS version 1.0 KNMI https://dataplatform.knmi.nl/dataset/knw-csv-ts-1-0

KNW-CSV-TS-UPDATE version 1.0 KNMI https://dataplatform.knmi.nl/dataset/knw-csv-ts-update-1-0

Uurgegevens van het weer in Nederland KNMI https://www.knmi.nl/nederland-nu/klimatologie/uurgegevens

Model code and software

ceesfdevalk/EVTools: EVTools1.0 Cees de Valk https://doi.org/10.5281/zenodo.15480857

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Short summary

Estimates of the risk posed by rare and catastrophic weather events are often derived from relatively short measurement records, which renders them highly uncertain. We investigate if (and by how much) this uncertainty can be reduced by making use of large datasets of simulated weather. More specifically, we focus on coastal flood hazard in the Netherlands and on the challenge of estimating the once in 10 million years coastal water level and wind stress as accurately as possible.