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

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. https://doi.org/10.4121/12706085.v4

Dataset

x choose version: version 3 - 2021-03-18 version 2 - 2020-09-30 version 1 - 2019-11-20

• Atmospheric Sciences
• Climate and Climate Change
• Natural Hazards

dissertation, International Best Track Archive for Climate Stewardship (IBTrACS), Natural hazards, Risk, Statistical modeling, Synthetic modeling, Synthetic tracks, Synthetic Tropical Cyclone geneRation Model (STORM), Tropical Cyclone

CC0

RefWorks, BibTeX, Reference Manager, Endnote, DataCite, NLM, DC, CFF

by Nadia Bloemendaal , I.D. (Ivan) Haigh , H. (Hans) de Moel , S Muis , R.J. (Reindert) Haarsma , J.C.J.H. (Jeroen) Aerts

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/vnd.google-earth.kml+xml, application/zip, text/plain

Generation of a global synthetic tropical cyclone hazard dataset using STORM

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