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

Users can access statistically downscaled climate indices based on model projections from 26 global climate models. The datasets include multi-model ensembles and individual model output. Users define subsets of data by selecting options such as index, time, emission scenario, and model. The indices fall into three categories: temperature, precipitation, and degree days or agroclimatic indices.

To select a geographic area, users can click and drag a box on the map or enter the coordinates below the map. Please note that data is not available for single grid points.

This page provides four datasets, two sets each of Climdex and agroclimatic indices. Each index type was produced with source data from two different downscaling methods, CanDCS-U6 (univariate) and CanDCS-M6 (multivariate). For more information, including technical notes and definition tables, click the info icon next to the dataset selection.

Some datasets were updated in August 2023, September 2024, and October 2025. To view the complete list of updates, visit the updates and errata page. For information on the outlier correction methods, please see the technical notes.

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Information

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

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

CMIP6 statistically downscaled agroclimatic indices (derived from the CanDCS-U6 and CanDCS-M6 scenarios)

The Pacific Climate Impacts Consortium (PCIC) performed the downscaling and derived the indices for these datasets. The CanDCS-U6 used the BCCAQv2 method (Bias Correction / Constructed Analogues with Quantile mapping version 2, while the CanDCS-M6 used the MBCn method (N-dimensional Multivariate Bias Correction).

Both datasets include the same global climate models, climate measures, time period (1950-2100), and Shared Socioeconomic Pathways (SSPs): SSP1-2.6, SSP2-4.5, and SSP5-8.5.

For more details on the source datasets and Climdex indices, please see the technical notes and the definition table.

In 2024, ECCC added ensemble datasets, and PCIC produced SSP3-7.0 for the CanDCS-M6 dataset. The SSP3-7.0 data is available for a smaller set of models. See updates and errata for more details.

To support a wide range of user groups in Canada, CCDS offers a custom set of indices. ECCC developed these indices with input from the Canada’s climate adaptation community. These indices were first derived from CanDCS-U6 data. However, in 2024 PCIC created a set using the CanDCS-M6 and added 18 new indices to both the U6 and M6 datasets. These expanded datasets were released in April 2025.

For more details on the agroclimatic indices, please see the technical notes and the definition list.

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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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