Seasonal forecasts
Access seasonal forecasts produced by the Canadian seasonal prediction system. These include probabilistic seasonal forecasts of temperature, precipitation, sea surface temperature, snow water equivalent, surface solar radiation, cloud fraction and specific humidity for Canada, as well as global forecasts of temperature and precipitation. Temperature and precipitation probabilistic and deterministic forecasts, verification charts, numerical data, and observations of sea surface temperature anomalies and snow cover are available here.
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Seasonal forecasts for Canada
Probabilistic forecasts show the probabilities for the below, near or above normal tercile categories for a climate variable for various lead times, ranging from months 1-3 of the forecast period to months 10-12.
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Global seasonal forecasts
Global probabilistic forecasts of temperature and precipitation
Probabilistic forecasts show the probabilities for the below, near or above normal tercile categories for a climate variable for various lead times, ranging from months 1-3 of the forecast period to months 10-12.
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User guidance on probabilistic seasonal forecast products
Guidelines on using probabilistic seasonal forecasts.
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Technical notes on CanSIPS
Information on CanSIPS seasonal forecasts.
Technical document on CanSIPS (PDF).
About the Canadian seasonal prediction system
Canadian Seasonal to Inter-annual Prediction System (CanSIPS) is a long-term prediction system whose objective is to forecast the evolution of global climate conditions over the next 12 months. CanSIPS predictions are based on ensembles of 10 forecasts from each of two coupled atmosphere-ocean-land physical climate models developed by the Canadian Centre for Climate Modelling and Analysis (CCCma) and Numerical Research Division (RPN-Dorval).
