A global database of tropical cyclone–induced storm surge spatiotemporal hydrographs

Manuscript presenting the first open global catalogue of event-attributed storm surge hydrographs for historical tropical cyclones at the coastal locations affected by each storm, for the period 1980–2022. Storm surge was derived from the GTSMv3 reanalysis for tropical cyclones well represented in ERA5, and observational event hydrographs were derived from GESLAv3 tide gauges. A hazard tracker based on a Dynamic K-Means–DBSCAN (DKM-DBSCAN) algorithm was used to identify the spatiotemporal storm surge pattern of each storm; the algorithm was calibrated and validated against tide gauge observations. The catalogue provides storm surge footprints and hydrographs for 2,723 tropical cyclones with globally consistent coverage across ocean basins, making it suitable for global and comparative analyses and as a benchmark for storm surge models and emulators. Status: submitted to Scientific Data (under review). Dataset: https://doi.org/10.5281/zenodo.18170693Code : https://doi.org/10.5281/zenodo.23765126 This work is part of the TRANSCLIMA project (Detection and Global Risk Assessment of Coastal Transitional Climate and Neo-Climate Regions in a Warming World), funded by the European Union’s Horizon Europe research and innovation programme under the Marie Skłodowska-Curie grant agreement No. 101111262 (HORIZON-MSCA-2022-PF-01). Simulations were run on MareNostrum 5 (Barcelona Supercomputing Center; RES projects IM-2025-1-0025 and IM-2025-3-0005).

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-10-29
DOI
https://doi.org/10.5281/zenodo.23769249
Primary Topic
Tropical and Extratropical Cyclones Research
Type
preprint

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preprint

A global database of tropical cyclone–induced storm surge spatiotemporal hydrographs

Itxaso Odériz, Sanne Muis, Íñigo J. Losada
4 links
Zenodo (CERN European Organization for Nuclear Research)
Tropical and Extratropical Cyclones Research
preprint

A global database of tropical cyclone–induced storm surge spatiotemporal hydrographs

Itxaso Odériz, Sanne Muis, Íñigo J. Losada
preprint en

Abstract

Manuscript presenting the first open global catalogue of event-attributed storm surge hydrographs for historical tropical cyclones at the coastal locations affected by each storm, for the period 1980–2022. Storm surge was derived from the GTSMv3 reanalysis for tropical cyclones well represented in ERA5, and observational event hydrographs were derived from GESLAv3 tide gauges. A hazard tracker based on a Dynamic K-Means–DBSCAN (DKM-DBSCAN) algorithm was used to identify the spatiotemporal storm surge pattern of each storm; the algorithm was calibrated and validated against tide gauge observations. The catalogue provides storm surge footprints and hydrographs for 2,723 tropical cyclones with globally consistent coverage across ocean basins, making it suitable for global and comparative analyses and as a benchmark for storm surge models and emulators. Status: submitted to Scientific Data (under review). Dataset: https://doi.org/10.5281/zenodo.18170693Code : https://doi.org/10.5281/zenodo.23765126 This work is part of the TRANSCLIMA project (Detection and Global Risk Assessment of Coastal Transitional Climate and Neo-Climate Regions in a Warming World), funded by the European Union’s Horizon Europe research and innovation programme under the Marie Skłodowska-Curie grant agreement No. 101111262 (HORIZON-MSCA-2022-PF-01). Simulations were run on MareNostrum 5 (Barcelona Supercomputing Center; RES projects IM-2025-1-0025 and IM-2025-3-0005).

Zenodo (CERN European Organization for Nuclear Research)
Deltares (NL), IHCantabria - Instituto de Hidráulica Ambiental de la Universidad de Cantabria (ES), Vrije Universiteit Amsterdam (NL)
European Commission
Climate action
Tropical and Extratropical Cyclones Research
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A global database of tropical cyclone–induced storm surge spatiotemporal hydrographs — Itxaso Odériz, Sanne Muis, et al. · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS