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: 10.4121/14237678

Bloemendaal, Nadia; de Moel, H. (Hans); Martinez, Andrew B.; Muis, S. (Sanne); Haigh, I.D. (Ivan) et. al. (2023): STORM Climate Change synthetic tropical cyclone tracks. Version 2. 4TU.ResearchData. dataset. https://doi.org/10.4121/14237678.v2

Dataset

x choose version: version 1 - 2022-02-24

• Natural Hazards
• Atmospheric Sciences
• Climate and Climate Change
• Earth Sciences
• Environment

Climate Change, dissertation, general circulation models (GCMs), HighResMIP, International Best Track Archive for Climate Stewardship (IBTrACS), Natural hazards, PRIMAVERA, Statistical Modelling, Synthetic modelling, Synthetic tracks, Synthetic Tropical Cyclone geneRation Model (STORM), Tropical Cyclones

CC0

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

by Nadia Bloemendaal , H. (Hans) de Moel , Andrew B. Martinez , S. (Sanne) Muis , I.D. (Ivan) Haigh , Karin van der Wiel , R.J. (Reindert) Haarsma , P.J. (Philip) Ward , Malcolm Roberts , Job Dullaart , J.C.J.H. (Jeroen) Aerts

UPDATE 22/06/2023: Tom Russell (Oxford University) and colleagues have created global .tiff maps for the return period datasets. You can find them here: https://zenodo.org/record/7438145

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 (2020)). The dataset is generated by extracting the climate change signal from each of the four general circulation models listed below, and adding this signal to the historical data from IBTrACS. This new dataset is then used as input for STORM, and resembles future-climate (2015-2050; RCP8.5/SSP5) conditions. The data can be used to calculate tropical cyclone risk in all (coastal) regions prone to tropical cyclones.

Climate change information from the following models is used in this study (each model has its own 10.000 years of STORM data):

1) CMCC-CM2-VHR4

2) CNRM-CM6-1-HR

3) EC-Earth3P-HR

4) HAdGEM3-GC31-HM

See Roberts et al (2020) for more information on these models.

• 2022-02-24 first online

• 2023-06-22 published, posted

4TU.ResearchData

zip-dictionaries with .txt-files

• https://www.nature.com/articles/s41597-020-0381-2
• https://www.nature.com/articles/s41597-020-00720-x

Climate Econometrics, Nuffield College, Oxford, UK
Deltares,Delft, The Netherlands
MetOffice, Exeter, UK
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
Office of Macroeconomic Analysis, U.S. Department of the Treasury Washington DC, USA
Vrije Universiteit Amsterdam, Institute for Environmental Studies (IVM), Amsterdam, the Netherlands