STORM IBTrACS present climate synthetic tropical cyclone tracks

doi: 10.4121/12706085.v4
The doi 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: 10.4121/12706085
Datacite citation style:
Bloemendaal, Nadia; Haigh, I.D. (Ivan); de Moel, H. (Hans); Muis, S; Haarsma, R.J. (Reindert) et. al. (2022): STORM IBTrACS present climate synthetic tropical cyclone tracks. Version 4. 4TU.ResearchData. dataset.
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
choose version:
version 4 - 2022-07-22 (latest)
version 3 - 2021-03-18 version 2 - 2020-09-30 version 1 - 2019-11-20

Datasets consisting of 10,000 years of synthetic tropical cyclone tracks, generated using the Synthetic Tropical cyclOne geneRation Model (STORM) algorithm (see Bloemendaal et al, Generation of a Global Synthetic Tropical cyclone Hazard Dataset using STORM, in review). The dataset is generated using historical data from IBTrACS and resembles present-climate conditions. The data can be used to calculate tropical cyclone risk in all (coastal) regions prone to tropical cyclones.

VERSION UPDATE (30 Sept 2020): The Saffir-Simpson category thresholds were wrongly calculated in the previous version, this has now been corrected.

VERSION UPDATE (18 March 2021): The old version of STORM contained some duplicate cyclone tracks. These have now been removed.

VERSION UPDATE (22 July 2022): The last version accidentally still had the old wrong categories ... This version has the right categories AND the duplicates removed! :-)

  • 2019-11-20 first online
  • 2022-07-22 published, posted
4TU.Centre for Research Data
media types: application/, application/zip, text/plain
Deltares,Delft, The Netherlands
Royal Netherlands Meteorological Institute (KNMI), De Bilt, The Netherlands;
University of Southampton, National Oceanography Centre, School of Ocean and Earth Science, European Way, Southampton, United Kingdom
Vrije Universiteit Amsterdam, Institute for Environmental Studies (IVM), Amsterdam, the Netherlands


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