MYRIAD-SIM Stochastic Weather Dataset for Case Studies

These are stochastic weather datasets for different case study areas that have been explored in a forthcoming study on multi-hazard return periods. The following case study areas are included: Burgundy, France Sicily, Italy UK & Ireland. This stochastic dataset has been generated by the MYRIAD-Stochastic vIne-copula Model (MYRIAD-SIM) (Claassen et al., 2025). MYRIAD-SIM captures both spatiotemporal and multivariate dependencies with the use of conditional vine copulas, a statistical tool.  The simulated data each relevant variable and variable are provided in a NetCDF file. Each NetCDF contains four dimensions and five attributes, as described in Table 1. The data variable names are t2m, pr, ws, for temperature, precipitation and wind speed respectively. The data has 64 ensemble members which each run from 2008 to 2023. Table 1: Description of dimensions and attributes in the dataset NetCDF files. Category Description Dimensions   ens Ensemble member index (0 to 15), representing different model runs. time Time dimension, ranging from 2008-01-01 to 2023-12-31. latitude Latitude values (degrees north). longitude Longitude values (degrees east). Attributes   units Units of measurement for each variable. standard_name Full name of each variable. description Brief explanation of each variable's meaning and origin. version Version number of the dataset. created Date when the dataset was generated.