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 - <p>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: <a href="https://zenodo.org/record/7438145" target="_blank">https://zenodo.org/record/7438145</a></p><p><br></p><p>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.</p><p><br></p><p>Climate change information from the following models is used in this study (each model has its own 10.000 years of STORM data):</p><p>1) CMCC-CM2-VHR4</p><p>2) CNRM-CM6-1-HR</p><p>3) EC-Earth3P-HR</p><p>4) HAdGEM3-GC31-HM</p><p><br></p><p>See Roberts et al (2020) for more information on these models.</p>
ER -