STORM IBTrACS present climate synthetic tropical cyclone tracks
Datacite citation style:
Bloemendaal, Nadia; Haigh, I.D. (Ivan); de Moel, H. (Hans); Muis, S; Haarsma, R.J. (Reindert) et. al. (2021): STORM IBTrACS present climate synthetic tropical cyclone tracks. Version 3. 4TU.ResearchData. dataset. https://doi.org/10.4121/12706085.v3
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset
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version 4 - 2022-07-22 (latest)
version 3 - 2021-03-18
version 2 - 2020-09-30
version 1 - 2019-11-20
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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 (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.
history
- 2019-11-20 first online
- 2021-03-18 published, posted
publisher
4TU.Centre for Research Data
format
media types: application/vnd.google-earth.kml+xml, application/zip, text/plain
associated peer-reviewed publication
Generation of a global synthetic tropical cyclone hazard dataset using STORM
organizations
Deltares,Delft, The NetherlandsRoyal 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
DATA
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