COAST-RP: A global COastal dAtaset of Storm Tide Return Periods

DOI:10.4121/13392314.v2
The DOI displayed above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
DOI: 10.4121/13392314
Datacite citation style:
Dullaart, Job; Muis, S. (Sanne); Bloemendaal, Nadia; Chertova, Maria; Couasnon, Anais et. al. (2022): COAST-RP: A global COastal dAtaset of Storm Tide Return Periods. Version 2. 4TU.ResearchData. dataset. https://doi.org/10.4121/13392314.v2
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Dataset

choose version:
version 2 - 2022-07-22 (latest)
version 1 - 2021-06-03

Usage statistics

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2
citations
8273
downloads

Geolocation

Global

Time coverage

1980-2017

Licence

CC BY 4.0

Storm surges that occur along low-lying, densely populated coastlines can leave devastating societal, economical, and ecological impacts. To protect coastal communities from flooding, return periods of storm tides, defined as the combination of the surge and tide, must be accurately evaluated. Here we present storm tide return periods using a novel integration of two modelling techniques. For surges induced by extratropical cyclones, we use a 38-year time series based on the ERA5 climate reanalysis. For surges induced by tropical cyclones, we use synthetic tropical cyclones from the STORM dataset representing 10,000 years under current climate conditions. Tropical and extratropical cyclone surge levels are probabilistically combined with tidal levels, and return periods are computed empirically. The COAST-RP dataset contains storm tide levels representing the 1, 2, 5, 10, 25, 50, 100, 250, 500, and 1000-year return period.

History

  • 2021-06-03 first online
  • 2022-07-22 published, posted

Publisher

4TU.ResearchData

Format

netcdf

Funding

  • COASTRISK project financed by the SCOR Corporate Foundation for Science (R/003316.01).

Organizations

Vrije Universiteit Amsterdam - Institute for Environmental Studies (IVM)

DATA

Files (4)