Articles | Volume 18, issue 8
https://doi.org/10.5194/essd-18-5759-2026
https://doi.org/10.5194/essd-18-5759-2026
Data description article
 | 
04 Aug 2026
Data description article |  | 04 Aug 2026

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

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Cited articles

Arns, A., Wahl, T., Wolff, C., Vafeidis, A. T., Haigh, I. D., Woodworth, P., Niehüser, S., and Jensen, J.: Non-linear interaction modulates global extreme sea levels, coastal flood exposure, and impacts, Nat. Commun., 11, 1918, https://doi.org/10.1038/s41467-020-15752-5, 2020. 
Bloemendaal, N., Muis, S., Haarsma, R. J., Verlaan, M., Irazoqui Apecechea, M., De Moel, H., Ward, P. J., and Aerts, J. C. J. H.: Global modeling of tropical cyclone storm surges using high-resolution forecasts, Clim. Dynam., 52, 5031–5044, https://doi.org/10.1007/s00382-018-4430-x, 2019. 
Bloemendaal, N., De Moel, H., Muis, S., Haigh, I. D., and Aerts, J. C.: Estimation of global tropical cyclone wind speed probabilities using the STORM dataset, Sci. Data, 7, 377, https://doi.org/10.1038/s41597-020-00720-x, 2020. 
Bocharov, G.: pyextremes, Version 2.4.0, GitHub [code], https://github.com/georgebv/pyextremes (last access: 22 July 2026), 2023. 
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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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