Why It's Important
Artificial Intelligence (AI) is becoming an indispensable tool for planning and building resilience to the impacts of climate change. AI’s ability to analyze massive, complex datasets—like long-term weather patterns, sea-level rise projections, and wildfire risk models—can provide communities with more accurate and localized predictions than ever before. This allows for proactive rather than reactive planning, saving money, resources, and potentially lives. For remote and coastal communities, which are often on the front lines of climate impacts, using AI can lead to better emergency response plans, more resilient infrastructure, and more sustainable economic development. As the Canadian Centre for Climate Services notes, access to reliable climate data and tools is critical for adaptation.
History
Climate modeling has existed for decades, running on powerful supercomputers in government and academic institutions. For a long time, the outputs of these models were difficult for local planners to access and interpret. The revolution of the past decade has been the convergence of cloud computing, big data, and AI. This has allowed for the development of more user-friendly climate information portals and tools. Today, AI is being used to “downscale” global climate models, providing much more granular, community-level forecasts. It is also being used to rapidly analyze satellite imagery after an event like a flood or wildfire to assess the extent of the damage.
Examples
Natural Resources Canada uses AI and machine learning to power its national wildfire monitoring and prediction systems, providing critical data for emergency planners across the country.
The Pacific Climate Impacts Consortium (PCIC) at the University of Victoria uses sophisticated modeling to provide regional climate projections for British Columbia, helping communities and industries plan for future climate conditions.
Researchers in Canada are developing AI models to better predict the risk of “atmospheric rivers,” the extreme rainfall events that have caused severe flooding in B.C., giving communities more advance warning.
Several municipalities in Canada are using AI-powered flood models to map out areas at high risk of urban or coastal flooding, allowing them to update zoning bylaws and plan for protective infrastructure.
Software and Tools
ClimateData.ca: A national climate data portal that provides high-resolution climate projections for any location in Canada. It uses complex models to provide data on future temperature, precipitation, and other climate variables.
Wildfire Predictive Services (Provided by Provincial Agencies, e.g., BC Wildfire Service): Provincial wildfire agencies use sophisticated predictive models, increasingly incorporating AI, to forecast fire danger and potential fire spread.
Flood Mapping Tools (Provided by Provincial/Federal Agencies): Governments are developing increasingly sophisticated flood hazard maps. The Government of Canada’s Flood Hazard Identification and Mapping Program is a key initiative in this area.
GeoSpatial Services-Natural Resources Canada:a collection of geospatial services and information containing over 7000 datasets from more than 40 contributors including federal, provincial, and territorial.
Public AI Chatbots (ChatGPT, Gemini, Claude): These tools can be used in a secure manner for non-sensitive tasks, such as summarizing technical climate reports into plain language or brainstorming community engagement strategies for a climate resilience plan.
AI Considerations
The primary consideration for using AI in climate planning is understanding its limitations. AI models are predictions, not certainties, and their outputs must be interpreted with caution and validated with local and traditional knowledge. The most significant risk is using public AI tools for sensitive analysis. Never upload data about critical infrastructure locations or culturally sensitive sites to a public AI chatbot. Use official, secure government-provided climate portals for data, and treat AI as a decision-support tool, not a decision-maker. The final planning decisions must always be made by community leaders and members, based on a holistic view that includes AI-driven insights alongside local values and experience.
FAQ
Global climate models operate on a very coarse grid. Downscaling is a set of techniques, often using AI, to add finer-grained local detail (like the effects of mountains and coastlines) to produce much more accurate, high-resolution local forecasts.
They are based on the best available science and are constantly improving. However, they are projections, not guarantees. They are best used to understand the probable range of future conditions and to identify key vulnerabilities.
No. Portals like ClimateData.ca are designed to be used by planners and community leaders, not just scientists. The user interface allows you to select a location and download easy-to-understand charts and data.
During an event like a wildfire, AI can analyze real-time satellite and weather data to predict the fire’s likely spread in the next 12-24 hours, helping emergency managers make better decisions about where to deploy resources and when to issue evacuation alerts.
Yes, this is an excellent, safe use of public AI chatbots. You can provide it with data from an official source like ClimateData.ca and ask it to write a draft summary of the key climate risks facing your community.
Pro Tips
Learn how AI can analyse climate data and model impacts on ecosystems, infrastructure, and livelihoods. Collaborate with researchers and Elders to incorporate Indigenous ecological knowledge, and use the outputs to prioritise adaptation projects. Your understanding of climate modelling helps you advocate for informed, culturally appropriate resilience strategies.
Checklist
External Resources
Climate Atlas of Canada: An interactive tool that combines climate science, mapping, and storytelling to help Canadians understand climate change.
Retooling for Climate Change (Fraser Basin Council): A B.C.-focused resource that provides tools and guidance for communities on climate change adaptation.
QUEST Canada: A national non-profit that supports communities in their transition to a sustainable energy future, with a strong focus on resilience.
Climate Change-Natural Resources Canada:Learn about climate change in Canada and how to reduce its negative effects through adaptation, programs and funding opportunities, and greenhouse gas emissions reduction.