Gridded historical downscaled large-ensemble natural forcing global model data

50 realisations of CanESM2 with no GHG forcings 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.

None at present

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