All Datasets >

Gridded historical/future downscaled large-ensemble all-forcing global model data


50 realisations of CanESM2 with a GHG scenario (RCP 8.5) were statistically downscaled onto the 300 arc second (~10km) ANUSPLIN grid (McKenney et al., 2011) using the Bias-Corrected Constructed Analogues with Quantile mapping reordering (BCCAQ) algorithm (Werner and Cannon, 2016) to produce daily climate surfaces for 1961-2100. Each day in the 300 arc second (~10 km) grid was first spatially-disaggregated using a local lapse rate upsampling algorithm (Wang et al., 2006), and the entire dataset was then bias corrected so that 1971-2000 climatological monthly means matched the Pacific Climate Impact Consortium PRISM climatology To avoid discontinuities at the boundaries between months, monthly climatologies were smoothed to daily climatologies following Epstein (1991) before bias correction.

Further information:
Epstein, E.S., 1991. Journal of Climate, 4:365-368. McKenney et al. (2011). Bull. Amer. Meteor. Soc., 92, 1611–1622. Wang et al. (2006). Int. J. Climatology, 26, 383-397. Werner and Cannon. (2016) Hydrology and Earth System Sciences, 20(4), 1483-1508.

Last Updated:
Primary Developer:
1950 to 2100

Spatial Resolution:

Temporal Resolution:

Spatial Extent:
British Columbia
Climate Parameters:
  • maximum temperature
  • minimum temperature
  • total precipitation

Approximate Dataset Volume/Primary Format:
2.67 TB/netCDF*
(*data available in subsets of full volume) GB=gigabyte TB=terabyte


Okanagan Flood Risk Modeling Project (in progress)


◀ Back to All Datasets