ClimateData.ca provides high-resolution climate data to help decision makers build a more resilient Canada.
New to climate data? Click here to learn more
ClimateData.ca is a climate data portal produced collaboratively by the country’s leading climate organizations and supported, in part, by the Government of Canada. The goal of this portal is to support decision makers across a broad spectrum of sectors and locations by providing the most up to date climate data in easy to use formats and visualizations.
ClimateData.ca is supported by the Canadian Centre for Climate Services (CCCS) of Environment and Climate Change Canada as part of its efforts to provide Canadians with easy access to climate related data and to help increase their resilience to climate change. Click Here to learn more about the CCCS services.
Get summary information about how climate change is affecting areas you care about so you can see how climate change is impacting local areas of interest.
Explore all the available data through high resolution maps and graphs.
Download data at both local and regional scales to include data into your own work.
New to climate change? Explore various training modules and get up to speed on how to incorporate climate data into your decision making process.
Adapting to a changing climate requires confronting and dealing effectively with a wide range of uncertainties. Learn about the three main sources of uncertainty in climate projections.
Learn about Canada’s weather station monitoring network and how long-term observations from these stations help build Canada’s climate record.
Learn about the most current global climate model data, the 6th Coupled Model Intercomparison Project (CMIP6).
What using emissions scenarios can look like in practice.
This podcast is about how we get from here to there, exploring climate adaptation in the transportation sector and the ways that climate data can make us more resilient as a society.
This podcast is about how we get from here to there, exploring climate adaptation in the transportation sector and the ways that climate data can make us more resilient as a society.
Global warming levels (GWLs) offer a relatively new way of presenting and communicating climate change projections. This approach links regional climate changes to specific levels of global warming and can be used to explore future regional climates associated with global climate policy goals, such as those of the Paris Agreement. …
How are weather station observations used to create a country-wide view of Canada’s weather? Learn about ANUSPLIN, the interpolation tool used to create gridded historical datasets.
Learn why looking at a set of climate models, rather than a single one, can lend confidence to decisions.
ClimateData.ca provides historical climate simulations from 24 climate models developed by scientists from around the world. Learn why climate models are run over the historical period and how you can access this data.
This podcast is about how we get from here to there, exploring climate adaptation in the transportation sector and the ways that climate data can make us more resilient as a society.
Global warming levels (GWLs) are a relatively new way of presenting and communicating climate change projections. This approach links regional climate changes to specific levels of global warming and can be used to explore future regional climates associated with global climate policy goals, such as those of the Paris Agreement. …
Canadian wildfire activity is increasing in part because human-caused climate change is causing more hot and dry weather conditions conducive to wildfires, also referred to as “fire weather”. Future patterns of fire weather will look different from the past – conditions have already changed and will continue to do …
Learn about the latest set of emissions scenarios, based on Shared Socio-economic Pathways (SSPs). Understand how SSPs differ from RCP scenarios and learn about key considerations when using SSPs in climate risk assessments.
Learn about emissions scenarios to consider a range of possible futures and minimize risk.
Learn about four types of historical data: historical weather station data, adjusted and homogenized data, gridded historical data, and modelled historical data. Find out which ones could be most relevant to you.
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