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STORM Climate Change synthetic tropical cyclone tracks

posted on 24.02.2022, 12:43 authored by Nadia BloemendaalNadia 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 DullaartJob Dullaart, 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 (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):
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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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