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: 10.4121/12717512

Bloemendaal, Nadia; Haigh, I.D. (Ivan); de Moel, H. (Hans); Muis, S; Haarsma, R.J. (Reindert) et. al. (2022): STORM Old - PLEASE DO NOT USE!. Version 2. 4TU.ResearchData. dataset. https://doi.org/10.4121/12717512.v2

Dataset

x choose version: version 1 - 2019-03-25

• Natural Hazards
• Oceanography
• Atmospheric Sciences
• Climate and Climate Change

dissertation, 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

This is the old STORM dataset, generated using EC-Earth. Please do not use this dataset, it is faulty! Instead, use the STORM IBTRACS present climate data.https://doi.org/10.4121/uuid:82c1dc0d-5485-43d8-901a-ce7f26cda35d

• 2019-03-25 first online

• 2022-05-17 published, posted

4TU.Centre for Research Data

media types: application/zip, text/plain

Vrije Universiteit Amsterdam, Institute for Environmental Studies (IVM), 1081 HV Amsterdam, the Netherlands
Royal Netherlands Meteorological Institute (KNMI), 3731 GA De Bilt, The Netherlands
University of Southampton, National Oceanography Centre, School of Ocean and Earth Science, European Way, Southampton SO14 3ZH, United Kingdom (Haigh)
Deltares, 2600 MH Delft, The Netherlands (Muis)