Statistically downscaled multi-model ensembles of maximum temperature
Statistically downscaled multi-model ensembles of maximum temperature 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 maximum temperature from GCM outputs were downscaled using the Bias Correction/Constructed Analogues with Quantile mapping version 2 (BCCAQv2). A historical gridded maximum temperature dataset of Canada (ANUSPLIN) was used as the downscaling target.
The 5th, 25th, 50th, 75th and 95th percentiles of the monthly, seasonal and annual ensembles of downscaled maximum temperature (°C) are available for the historical time period, 1951-2005, and for emission scenarios, RCP2.6, RCP4.5 and RCP8.5, for 2006-2100.
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.
Metadata
Date Created
2018-01-01
Date Published
2018-09-06
Temporal Coverage
1951-01-01 - 2100-01-01
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0
All time access
604
Source(s) and Citation
Government of Canada; Environment and Climate Change Canada. (2018-09-06). Statistically downscaled multi-model ensembles of maximum temperature. http://ec.gc.ca
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statistically downscaled scenarios, projections, climate, climate change, temperature, precipitation, percentiles, ensembles, climate model, cmip5, climate, climate change, weather and climate, provide climate information products and services, expand scientific knowledge for climate monitoring and prediction, national (ca), science and technology branch, atmospheric science and technology, unclassified
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