Articles | Volume 17, issue 6
https://doi.org/10.5194/essd-17-2793-2025
https://doi.org/10.5194/essd-17-2793-2025
Data description article
 | 
20 Jun 2025
Data description article |  | 20 Jun 2025

ASM-SS: the first quasi-global high-spatial-resolution coastal storm surge dataset reconstructed from tide gauge records

Lianjun Yang, Taoyong Jin, and Weiping Jiang

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Cited articles

Ayyad, M., Hajj, M. R., and Marsooli, R.: Machine learning-based assessment of storm surge in the New York metropolitan area, Sci. Rep.-UK, 12, 19215, https://doi.org/10.1038/s41598-022-23627-6, 2022. 
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. 
Bruneau, N., Polton, J., Williams, J., and Holt, J.: Estimation of global coastal sea level extremes using neural networks, Environ. Res. Lett., 15, 074030, https://doi.org/10.1088/1748-9326/ab89d6, 2020. 
Chen, T. and Guestrin, C.: XGBoost: A Scalable Tree Boosting System, in: Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 13–17 August 2016, San Francisco, California, USA, 785–794, https://doi.org/10.1145/2939672.2939785, 2016. 
Cid, A., Camus, P., Castanedo, S., Méndez, F. J., and Medina, R.: Global reconstructed daily surge levels from the 20th Century Reanalysis (1871–2010), Global Planet. Change, 148, 9–21, https://doi.org/10.1016/j.gloplacha.2016.11.006, 2017. 
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Short summary
Storm surges (SSs) cause massive loss of life and property in coastal areas each year. High-spatial-resolution and long-term SS records are important for assessing such events. However, tide gauges can provide limited SS information due to sparse and uneven distributions. Based on artificial intelligence technology and tide gauges, a high-spatial-coverage SS dataset was generated for the period from 1940 to 2020, which can provide possible alternative support for deepening our understanding of SSs.
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