STORM Climate Change synthetic tropical cyclone tracks

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.<br>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-VHR42) CNRM-CM6-1-HR3) EC-Earth3P-HR4) HAdGEM3-GC31-HM<br>See Roberts et al (2020) for more information on these models.

本数据集包含基于合成热带气旋生成模型（Synthetic Tropical Cyclone Generation Model，缩写STORM）算法生成的10000年合成热带气旋路径数据，相关算法细节可参见Bloemendaal等（2020）的研究。
本数据集通过从下述4个通用环流模式中提取气候变化信号，并将该信号叠加至IBTrACS历史数据集后构建完成，随后将此新生成的数据集作为STORM模型的输入，用以模拟2015-2050年的未来气候情景（RCP8.5/SSP5）。
该数据集可用于计算所有易受热带气旋影响的（沿海）区域的热带气旋风险。
本研究采用了下述4个通用环流模式的气候变化信息，每个模式对应生成10000年的STORM合成数据集：
1) CMCC-CM2-VHR4
2) CNRM-CM6-1-HR
3) EC-Earth3P-HR
4) HAdGEM3-GC31-HM
有关这些模式的更多详细信息，请参见Roberts等（2020）的研究。