Introduction to Decision Making Using Climate Scenarios

Learn about emissions scenarios to consider a range of possible futures and minimize risk.

Understanding Ranges in Climate Projections

Learn why looking at a set of climate models, rather than a single one, can lend confidence to decisions.

Why Use Climate Data for Planning?

What using emissions scenarios can look like in practice.

Historical Weather Station Observations

Learn about Canada’s weather station monitoring network and how long-term observations from these stations help build Canada’s climate record.

Gridded Historical Data

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.

Modelled Historical Data

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.

Which Historical Data Set Should I Use? 

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.

CMIP6 Frequently Asked Questions

Learn about the most current global climate model data, the 6th Coupled Model Intercomparison Project (CMIP6). 

Understanding Shared Socio-economic Pathways (SSPs)

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.

Uncertainty in Climate Projections

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.

Understanding Multi-Model Ensembles

Learn why ClimateData.ca uses an ensemble of 24 climate models to get a better grasp of what the future may look like.

Emissions Scenarios: RCPs

How do we plan for a future that is uncertain? Learn how to manage uncertainty related to greenhouse gas emissions by using ‘emissions scenarios’.

Weather vs. Climate

The difference between weather and climate, as well as how they are interconnected.

Natural Variability

Weather and climate in a region can vary for natural reasons. In this article, learn about drivers that cause natural variability in the climate system, and why scientists look at long-term trends when studying climate change.

Climate Change

Learn what climate change is, why it matters, and how society can respond to these changes.

Importance of Using 30 Years of Data

Learn why you need to consider 30 years of data when making decisions concerning future climate change or determining how the climate has changed at a specific location.

How to Find Variables of Interest

How to Navigate Variable Maps

How to Download Data

How to Access Graphs for Station Based Data

How to Access Graphs of Gridded Data

How to Provide Feedback

IDF Data and Climate Change

It is not appropriate to use IDF data based on historical information alone for long-term planning. ECCC recommends the use of a scaling methodology for short-duration rainfall IDF data. Read this article for information about integrating climate change into IDF data, including a practical example.

IDF Curves 101

Learn what an IDF curve is, including an interactive walk-through of how to read them, and learn how Environment and Climate Change Canada produces IDF curves.

Best Practices for Using IDF Curves

Based on technical guidance from ECCC and CSA 4013:2019, here are eight best practices and key challenges to consider when using IDF curves.

Primer on Climate Change and Extreme Precipitation

Learn what current research suggests regarding extreme precipitation in a changing climate, and why ECCC recommends temperature scaling to estimate future extreme precipitation intensities.