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Data underlying the publication: Simulating synthetic tropical cyclone tracks for statistically reliable wind and pressure estimations

DOI:10.4121/78192fcc-8702-4355-96e1-a33c40a16a49.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: 10.4121/78192fcc-8702-4355-96e1-a33c40a16a49

Datacite citation style

Nederhoff, Kees; Hoek, Jasper; van Ormondt, Maarten; Caires, Sofia; Giardino, Alessio et. al. (2024): Data underlying the publication: Simulating synthetic tropical cyclone tracks for statistically reliable wind and pressure estimations. Version 2. 4TU.ResearchData. dataset. https://doi.org/10.4121/78192fcc-8702-4355-96e1-a33c40a16a49.v2
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Dataset

Version 2 - 2024-05-15 (latest)
Version 1 - 2024-01-30

This dataset comprises 10,000 years of synthetic tropical cyclone tracks, meticulously generated using the Tropical Cyclone Wind Statistical Estimation Tool (TCWiSE) algorithm, as detailed in Nederhoff et al., 2021. Focused on the North Atlantic Ocean Basin, these tracks are constructed based on historical data and designed to mirror the present-day climate conditions. The dataset offers a comprehensive and detailed simulation of tropical cyclone activity, serving as a valuable resource for climate research and analysis in the context of current climate patterns.

History

  • 2024-01-30 first online
  • 2024-05-15 published, posted

Publisher

4TU.ResearchData

Format

netCDF

Organizations

Deltares
TU Delft, Faculty of Civil Engineering and Geosciences, Department of Hydraulic Engineering

DATA

Files (1)