TY - DATA T1 - STORM Climate Change synthetic tropical cyclone tracks PY - 2023/06/22 AU - Nadia Bloemendaal AU - H. (Hans) de Moel AU - Andrew B. Martinez AU - S. (Sanne) Muis AU - I.D. (Ivan) Haigh AU - Karin van der Wiel AU - R.J. (Reindert) Haarsma AU - P.J. (Philip) Ward AU - Malcolm Roberts AU - Job Dullaart UR - DO - 10.4121/14237678.v2 KW - Natural hazards KW - Statistical Modelling KW - Tropical Cyclones KW - Synthetic Tropical Cyclone geneRation Model (STORM) KW - Synthetic modelling KW - Synthetic tracks KW - dissertation KW - International Best Track Archive for Climate Stewardship (IBTrACS) KW - HighResMIP KW - PRIMAVERA N2 -

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.

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