| Summary: | The Risk Analysis Framework for Tropical Cyclones (RAFT)'s comprehensive and unified simulation of 40,000 synthetic North Atlantic tropical cyclone (TC) events are presented in this dataset. RAFT meticulously models these events based on large-scale environmental conditions, providing a valuable tool for in-depth TC impact analysis. The dataset encompasses detailed 6-hourly track information, along-track intensity metrics (including maximum wind speed and minimum pressure), the radius of maximum winds, and cumulative precipitation for each event. The primary dataset is encapsulated in a NetCDF4 file, " RAFT.NA.v20231016.nc ", which contains a complete array of variables pertinent to the 40,000 synthetic TCs. These variables, detailed in Table 1 of the accompanying paper and summarized below, offer a comprehensive view of each TC event: Basin ID : Identifies the basin (1 for North Atlantic) Storm ID : Unique identification number for each TC, starting from 0 Year : Year of the environmental conditions used for modeling Jday : Julian day of the year, ranging from 0 to 365 Longitude (lon) : Geographical longitude in degrees Latitude (lat) : Geographical latitude in degrees Maximum Wind Speed (vmax) : Measured in knots Minimum Pressure (mslp) : Measured in hectopascals (hPa) Radius of Maximum Wind (rmax) : Measured in nautical miles (nmi) Additionally, the dataset offers individualized accumulated rainfall data for each TC event, stored in NetCDF4 files named according to the convention "modeled_rainfall_ERA5_syn_{i}.h5", where "{i}" is the synthetic storm's ID. "ERA5" signifies the reanalysis input source, and "syn" indicates a synthetic track. This component of the dataset includes the following variables, all measured in total millimeters of precipitation: Total Accumulated Rainfall (p_accum) Frictional Precipitation Component (p_accum_f) Topographic Precipitation Component (p_accum_h) Shear-related Precipitation Component (p_accum_s) Vortex Stretching Precipitation Component (p_accum_t) The rainfall dataset is ...
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