Snowfall statistics for past and future climates calculated from two ensembles of the fifth-generation Canadian Regional Climate Model (CRCM5)
- Description:
- This dataset contains extreme snowfall statistics from observations and regional climate model simulations. Simulated snowfall statistics are calculated using two ensembles of the fifth-generation Canadian Regional Climate Model (CRCM5). The first is a set of four simulations produced by Ouranos for the Coordinated Regional Climate Downscaling Experiment (CORDEX) at 0.22° horizontal grid spacing over the North American domain. The second ensemble is a set of 50 simulations from the ClimEx project, driven by 50 members of the CanESM2 large ensemble over the northeastern North America domain at 0.11° horizontal grid spacing. Observations are derived from the Global Historical Climatology Network daily (GHCNd) dataset. Statistics include mean annual snowfall, the 95th percentile of daily snowfall (SF95), and the mean annual number of daily snowfall events exceeding 10% of the climatological mean annual snowfall (TC10). Statistics are presented for four time periods, the 1980-2009 recent past climate and the 30-year periods during which the +2, +3, and +4°C global warming levels (relative to the 1850-1900 preindustrial climate) are attained. These data are associated with the manuscript “Changing Nature of High-Impact Snowfall Events in Eastern North America” by McCray et al. (2023), Journal of Geophysical Research: Atmospheres available at https://doi.org/10.1029/2023JD038804.
- McCray, Christopher D., Schmidt, Gavin A., Paquin, Dominique, Leduc, Martin, , , , , and Brettschneider, Brian R.
- Source Repository:
- FRDR
- Publisher(s):
- Federated Research Data Repository / dépôt fédéré de données de recherche
- URL:
- https://doi.org/10.20383/102.0743
- Publication date:
- 2023-06-06
- Keywords:
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