Monthly and seasonal forecast maps are now available on ClimateData.ca! Monthly, seasonal, and decadal forecasts help bridge the gap between weather forecasts and longer-term climate projections. You can now explore and download location-specific information for the coming months and seasons using the same interactive map interface used for historical data and future climate projections.

Decadal forecast products will be available on ClimateData.ca later this year.
Ready to jump into the data? Click here: Explore Maps – ClimateData.ca
The ClimateData.ca seasonal and monthly forecast maps are built on the same forecast models developed and used by Environment and Climate Change Canada (ECCC) (Seasonal forecasts for Canada). ClimateData.ca is building on this foundation to offer more forecast products and functionality to make seasonal forecasts easier to find, explore, and use.
On ClimateData.ca, you can now:
In short, these products do not replace existing ECCC forecasts; they extend and repackage them in a user-friendly format, designed to support real-world planning and adaptation decisions.
Seasonal forecasts predict how climate conditions for an upcoming season (a period of three months) are likely to compare with the past. They describe the probability that variables—such as temperature and precipitation—will be higher or lower than past conditions (the current baseline period that is used to compare seasonal forecasts is 1991-2020). Forecasts tell us how likely it is that variables will be “above, near, or below” normal or “unusually high or low” compared to the past period conditions.
Read more about what all of these conditions mean here: What are Seasonal Forecasts? – ClimateData.ca.

Seasonal forecasts provide the probability of different outcomes occurring in the coming months, but they do not predict specific weather events. For example, they can tell you how likely it is that the season, as a whole, will be characterized by unusually high amounts of precipitation, but they cannot tell you if extreme precipitation will occur on any given day or week within the season. They do not show:
Seasonal forecasts describe the most likely seasonal conditions overall, based on model predictions. They are best used for planning and risk management at seasonal timescales and cannot be used for operational real-time decisions based on weather. For example, an outdoor skating rink operator could use the seasonal or monthly forecast to see if the region where their rink is located will likely be warmer or colder than normal, but the operator cannot see the specific days on which they might need to close the rink due to high temperatures.
A key benefit of seasonal forecasts is that they provide information up to a year in advance. For plans and decisions that can benefit from advance knowledge about the most probable seasonal conditions, these forecasts provide information that can be used to weigh the benefits and risks of taking different actions.
Examples include adjusting operations in:
Box 1: To see examples of how seasonal forecasts have been used in real-world decision-making, read our existing blogs, (and watch for more on the “News” section of ClimateData.ca):
Seasonal and monthly forecasts are produced by ECCC, generated by the Meteorological Service of Canada, developed by the Canadian Centre for Climate Modelling and Analysis, further processed into user-friendly data products by the Canadian Centre for Climate Services, and made available through the ClimateData.ca collaboration. The data for these forecast products is from the Canadian Seasonal to Interannual Prediction System (CanSIPSv3). Read more about how the forecasts are produced here: What are Seasonal Forecasts? – ClimateData.ca.
Seasonal forecasts are updated monthly, so you’ll always have access to relevant, up-to-date information.
Visit the S2D Forecasts Landing Page to find:
If there’s a seasonal forecast product you’d like to see on ClimateData.ca, or if you are interested in sharing how you use seasonal forecasts in your work, we’d love to hear from you – please fill out this form!