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. http://www.pacificclimate.org/data/statistically-downscaled-climate-scenarios. 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 http://www.pacificclimate.org/data/high-resolution-prism-climatology. To avoid discontinuities at the boundaries between months, monthly climatologies were smoothed to daily climatologies following Epstein (1991) before bias correction.
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.
1950 to 2100
Approximate Dataset Volume/Primary Format:
2.67 TB/netCDF* (*data available in subsets of full volume) GB=gigabyte TB=terabyteUsage:
Okanagan Flood Risk Modeling Project (in progress)