Statistically downscaled scenarios of projected total precipitation change

Statistically downscaled multi-model ensembles of projected change (also known as anomalies) in total precipitation are available at a 10km spatial resolution for 1951-2100. Statistically downscaled ensembles are based on output from twenty-four Coupled Model Intercomparison Project Phase 5 (CMIP5) global climate models (GCM). Daily precipitation (mm/day) from GCM outputs were downscaled using the Bias Correction/Constructed Analogues with Quantile mapping version 2 (BCCAQv2). A historical gridded precipitation dataset of Canada (ANUSPLIN) was used as the downscaling target.

             Projected relative change in total precipitation is with respect to the reference period of 1986-2005 and expressed as a percentage (%). Seasonal and annual averages of projected precipitation change to 1986-2005 are provided. Specifically, the 5th, 25th, 50th, 75th and 95th percentiles of the downscaled ensembles of projected precipitation change are available for the historical time period, 1901-2005, and for emission scenarios, RCP2.6, RCP4.5 and RCP8.5, for 2006-2100.

             Twenty-year average changes in statistically downscaled total precipitation (%) for four time periods (2021-2040; 2041-2060; 2061-2080; 2081-2100), with respect to the reference period of 1986-2005, for RCP2.6, RCP4.5 and RCP8.5 are also available in a range of formats. The median projected change across the ensemble of downscaled CMIP5 climate models is provided.

             Note: Projections among climate models can vary because of differences in their underlying representation of earth system processes. Thus, the use of a multi-model ensemble approach has been demonstrated in recent scientific literature to likely provide better projected climate change information.

Data and Resources

Additional Info

Field Value
Last Updated January 16, 2026, 20:44 (UTC)
Created January 16, 2026, 20:44 (UTC)
contains_pii oui
crisis_categories Fortes pluies
criticality_level Faible
data_formats HTML; NetCDF; PDF; WCS; WMS
fair_openness Level 2 - Machine-readable
geographic_scope Canada
sensitivity_level Faible
source_inventaire Inventaire_W
source_url https://open.canada.ca/data/en/dataset/286dd106-b507-472a-9a26-f72dceffb475
subject nature_and_environment, science_and_technology
update_frequency as_needed
year_most_recent 2025-04-03 16:00:23.605000
year_start 2018-09-27 19:42:19.990000