CMIP6 ensemble of daily predictor variables

Download interface

Form instructions:

Click on your location of interest or input decimal latitude/longitude or X Y grid cell coordinates, then click "Retrieve data".

Note: Zooming in when using the “Multiple select” option will result in the highlighted area appearing smaller than the grid box however you will still download the entire grid box of data.

Single select
Multiple select
Data Selection

CMIP6 predictors

A subset of Coupled Model Intercomparison Project Phase 6 (CMIP6) global climate model (GCMs) daily predictor variables are available for regression-based statistical downscaling. The subset of select GCMs span a range of equilibrium climate sensitivity (ECS) values from very high and low to approximately mean values. The GCMs include CanESM5 (high ECS), MPI-ESM1.2-HR (medium ECS), and NorESM2-MM (low ECS). Daily predictor variables from these models are available for the historical time period, 1979-2014, and multiple shared socioeconomic pathways (SSPs) for the future time period, 2015-2100.

Two reanalysis datasets for the historical simulation period (1979-2014) are also available for download: NCEP-DOE Reanalysis 2 and the ECMWF ERA5. See Table 1 for a full list of datasets currently available and an overview of each dataset.

Table 1. Availability of datasets for each model included in the predictors ensemble. Pressure levels apply for all non surface-level variables. Reanalysis datasets do not have an ECS or a variant ID, and are only available for the historical time period; therefore, multiple columns are marked ‘not applicable’ (n/a).

Model ECS (°K) Pressure levels (hPa) SSPs Variant Leap years
ECMWF ERA5 n/a 500, 850, 1000 n/a n/a Yes
NCEP-DOE Reanalysis 2 n/a 500, 850, 1000 n/a n/a Yes
CanESM5 5.6 500, 850, 1000 SSP1-1.9, SSP1-2.6, SSP2-4.5, SSP3-7.0, SSP5-8.5 r1i1p1f1 No
NorESM2-MM 2.5 500, 850, 1000 SSP1-2.6, SSP2-4.5, SSP3-7.0, SSP5-8.5 r1i1p1f1 No
MPI-ESM1.2-HR 3.0 500, 850, 1000 SSP1-2.6, SSP2-4.5, SSP3-7.0, SSP5-8.5 r1i1p1f1 Yes

Please see the technical documentation for more details on the models listed above.

Format of predictors dataset

All datasets have the same atmospheric horizontal resolution and are on a 64 by 128 latitude-longitude global Gaussian grid with a spectral truncation at T42. The grid has a uniform longitudinal resolution of 2.8125° and a nearly uniform latitudinal resolution of 2.8125° and is the native grid of the CanESM5. All other datasets (both reanalysis and GCMs) were interpolated to match the CanESM5 grid.

A total of 26 predictor variables are available for download, which are comprised of both raw and derived variables, with multiple atmospheric variables available at three different pressure levels (1000, 850, & 500 hPa). Both standardized and original (non-standardized) values are available for all datasets and variables excluding wind direction, which was not standardized. Standardization was according to the historical reference period, 1981-2010, for each individual dataset.

It should be noted that while all datasets are presented on a daily time scale, some use 365-day calendars and, therefore, do not include leap years. See Table 1 for a list of datasets that do, and do not, include leap years.

Please see the technical documentation for more details on the preprocessing and formatting of the datasets.

Download options

For each grid cell in the 64 by 128 grid, a folder named Box_iiiX_jjY can be downloaded where iii ranges from 001 to 128, the longitudinal index, and jj ranges from 01 to 64, the latitudinal index. Click here to obtain the longitude and latitude indices associated with the individual grid boxes. Note that the latitude and longitude coordinates correspond to grid box centres.

A box of data can be downloaded by inputting the latitude and longitude coordinates, or associated grid box number, for the grid cell of interest in the selection window above. Alternatively, the grid cell can be selected by clicking the location of interest on the interactive map. If the ‘Multiple Select’ tab is selected, up to 10 boxes can be selected in this manner for a single download.

Single Select (for a single grid cell):

Multiple Select (for multiple grid cells):

  1. After selecting the regions of interest, a new selection window will appear below the map.
  2. Select the reanalysis and/or GCM simulations of interest.
    • At least one reanalysis or GCM simulation must be selected for the download, but there is no upper limit to the number of datasets and simulations that can be downloaded.

Downloads are formatted as zip files organized into folders according to grid cell and defined using the box naming scheme described above.

To download a large number of grid cells, click here to obtain a template PowerShell script (Windows) or here to obtain a template Bash (Bourne Again SHell) script (Mac/Linux).

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