Preprints
https://doi.org/10.5194/essd-2025-471
https://doi.org/10.5194/essd-2025-471
03 Sep 2025
 | 03 Sep 2025
Status: this preprint is currently under review for the journal ESSD.

Global dataset of storm surges and extreme sea levels for 1950–2024 based on the ERA5 climate reanalysis

Natalia Aleksandrova, Jelmer Veenstra, and Sanne Muis

Abstract. Extreme sea levels, generated by storm surges and high tides, can cause coastal flooding and erosion. Global datasets have been instrumental in mapping extreme sea levels and associated societal risks. Harnessing the backward extension of the ERA5 reanalysis, we present a dataset containing timeseries of tides and storm surges based on a global hydrodynamic model covering the period 1950–2024. This is an extension of a previously published dataset that covered a shorter period (1979–2018). Using this dataset, we estimate extreme sea levels globally. Validation shows good agreement between observed and modelled extreme sea levels, with the level of agreement for the extended dataset being very similar to that of the previously published dataset. The extended 75-year dataset allows for a more robust estimation of return periods, often resulting in smaller uncertainties than its 40-year precursor. This underscores the necessity for long timeseries and the strength of long-term modelling enabled by the ERA5 reanalysis extension. The present dataset can be used for assessing flood risk, climate variability and climate changes.

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Natalia Aleksandrova, Jelmer Veenstra, and Sanne Muis

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Natalia Aleksandrova, Jelmer Veenstra, and Sanne Muis

Data sets

Global sea level change time series from 1950 to 2050 derived from reanalysis and high resolution CMIP6 climate projections Sanne Muis et al. https://doi.org/10.24381/cds.a6d42d60

GTSM-ERA5-E dataset - Data underlying the paper “Global dataset of storm surges and extreme sea levels for 1950-2024 based on the ERA5 climate reanalysis” Sanne Muis et al. https://doi.org/10.5281/ZENODO.14671593

Natalia Aleksandrova, Jelmer Veenstra, and Sanne Muis

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Short summary
Extreme sea levels during storms can lead to coastal flooding and sediment displacement. In the paper, we present an expanded global dataset of sea levels, produced using a global ocean model driven by ERA5 reanalysis – a state-of-the-art dataset of historical weather and climate. The strengths and limitations of the dataset are discussed by comparing it to observed sea levels. The dataset covers a period of 1950–2024, improving our understanding of the global frequency of extreme water levels.
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