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National estimates of U.S. storm surge extremes and underlying long-term trends (1950-2020) using spatiotemporal non-stationary Bayesian Hierarchical Modeling

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Zenodo2025-06-26 更新2026-05-26 收录
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Version 2 contains two updated files from version 1: These files contain updated versions for these two files: Posterior-median estimates of GEV parameters (shape, scale and location) and associated credible interval (CI) values for 208 tide gauge. Posterior-median estimates of GEV parameters (shape, scale and location) and associated credible interval (CI) values for the entire U.S. coastlines NOTE: all data and associated articles (listed below) require proper acknowlement, citation and referencing of all data when directly or indirectly using any archived file listed above. Associated publications: Morim, J., Wahl, T., Rasmussen, D.J. et al. Observations reveal changing coastal storm extremes around the United States. Nature Climate Change (2025). https://doi.org/10.1038/s41558-025-02315-z Associated model: Calafat, F. M. (2024). BAYEX: Spatiotemporal Bayesian hierarchical modeling of extremes with max-stable processes (v3.0). Zenodo. https://doi.org/10.5281/zenodo.10967174 The full reanalysis data with predicted probabilistic estimates of surge and sea level extremes at ungauged sites are available here: Morim, J. (2025). Observation-based probabilistic reanalysis of storm surge and sea level extremes for United States., [Data set]. Zenodo. https://doi.org/10.5281/zenodo.10967174 Media: https://cpree.princeton.edu/news/2025/researchers-uncover-clearer-patterns-extreme-storm-surge-trends-amid-rising-sea-levels

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2025-06-21
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