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System Configuration Information

These information can be changed if the corresponding operational model is modified.

GPC Montreal

GPC Montreal
When was the current long-range forecast system implemented? Implemented on June 11, 2024 (the first official forecast is issued on July 1st, 2024)
Is it a coupled forecast system? Yes
Is it a Tier-2 forecast system? No
Atmospheric model resolution

T63L35, 1.1ºx1.1ºL85

Ocean model (if applicable)

CanNEMO3.4: - 1 x 1 deg/ORCA1 (L45)

NEMO3.6: - 1 x 1 deg/ORCA1 (L50)

Source of atmospheric initial conditions CMC Global analysis is assimilated
Source of ocean initial conditions CMC SST and sea-ice analysis at the surface and CMC GIOPS 3D ocean analysis below the surface.
If Tier-2, what is the source of SST predictions? N/A
Hindcast period 1991-2020
Ensemble size for the hindcasts 40 members: 20 members from GEM5.2-NEMO + 20 members from CanESM5
How is the hindcast ensemble configured? Hindcast is made with each individual model with 20 members of 12-month integration initialized at the beginning of each month (ensemble members 1-10) and five days beforehand (ensemble members 11-20).
Ensemble size for the forecast 40 members, 20 for each model
How is the forecast ensemble configured? Forecast is made with each individual model with 20 members of 12-month integration initialized on the last day of the previous month (ensemble members 1-10) and four days beforehand (ensemble members 11-20).
Length of forecasts 12 months
Data format

GRIB2

What is the latest date predicted anomalies for the next month/season become available? The forecasts will be available every first day of the month.
How are the forecast anomalies constructed? Since hindcast data are already provided (https://dd.weather.gc.ca/model_cansips/100km/hindcast/), one can produce the forecast anomalies by subtracting the ensemble forecast values from the hindcast mean
URL where forecast are displayed

https://climate-scenarios.canada.ca/?page=seasonal-forecasts for forecast maps and

https://eccc-msc.github.io/open-data/msc-data/nwp_cansips/readme_cansips-datamart_en/ for forecast/hindcast data

Point of Contact Dr. Marko Markovic (marko.markovic@canada.ca)

System History

dd

CanSIPSv2.2 dd

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