Download CMIP6 statistically downscaled climate scenarios (CanDCS-U6 & CanDCS-M6)

Download subsets of individual statistically downscaled global climate model output and multi-model ensembles. Subsets can be temporally and spatially defined, and filtered by the desired variable, scenario, and model. Click and drag out a box on the map to select a geographic subset of the data, or enter the coordinates belowthe map. Data cannot be provided with the selection of a single grid point location.

Two datasets calculated with different downscaling methods, CanDCS-U6 (univariate downscaling) and CanDCS-M6 (multivariate downscaling), are available for download. More information on the datasets provided can be found by clicking on the info icon button to the dataset selection below. Please see the technical notes for details on the statistical downscaling method.

Some of the available datasets were updated in August 2023 and September 2024. Please see the updates and errata page for a full list of the updated datasets, and the technical notes for details on the outlier correction methods.

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CanDCS-U6: Canadian Downscaled Climate Scenarios–Univariate method from CMIP6

CanDCS-M6: Canadian Downscaled Climate Scenarios–Multivariate method from CMIP6

The two datasets provided were statistically downscaled by the Pacific Climate Impacts Consortium (PCIC). The CanDCS-U6 was downscaled using the Bias Correction/Constructed Analogues with Quantile mapping version 2 (BCCAQv2) procedure. The CanDCS-M6 was downscaled using the N-dimensional Multivariate Bias Correction (MBCn) method. Both datasets include the same global climate models, variables (daily maximum temperature, minimum temperature, and precipitation), time period (1950-2100), and Shared Socioeconomic Pathways (SSPs) (SSP1-2.6, SSP2-4.5, and SSP5-8.5).

Ensemble and mean temperature datasets are additional products produced by ECCC, with PCIC adding SSP (SSP3-7.0) to the CanDCS-M6 dataset in 2024 (only available for a smaller subset of models, see updates and errata).

The datasets primarily differ from each other in two ways. First, the CanDCS-U6 was downscaled with a univariate method (BCCAQv2) while the CanDCS-M6 was downscaled with a multivariate method (MBCn), as described above. Second, the CanDCS-M6 utilized a new blended target dataset for downscaling (ANUSPLIN (an adjusted version and an updated version) and PNWNAmet gridded observational datasets). The new target includes observations in the western US extending to 41 degrees north and therefore the new dataset covers the extent of the Columbia River basin, improving the representation of precipitation in western Canada.

For more details on the two datasets, please see the technical notes.

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Size estimate: Please select all parameters.

Please ensure the estimated size is under 500 MB through area and time filtering.

Input data: Please select a time span.

Please select under 120 months (10 years) of input data. Processing time will depend mostly on time span.

Note: The data is provided in NetCDF format. Full datasets may take longer to download due to large file size. If you experience difficulty downloading the datasets please email us at f.ccds.info-info.dscc.f@ec.gc.ca

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Date modified:: 2019-03-01

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Download CMIP6 statistically downscaled climate scenarios (CanDCS-U6 & CanDCS-M6)

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