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Early warning

Early warning systems are essential for reducing the impacts of wildfires by enabling timely action and helping communities prepare, respond and protect lives and livelihoods.

By combining fire monitoring, risk information, forecasting, communication and community preparedness, effective early warning can support faster decision-making and safer evacuations. Explore the latest research, insights and resources on wildfire early warning systems and the measures needed to strengthen preparedness and resilience.

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Research briefs
The fire forecast: AI model accurately predicts the spread of wildfires in real time

By combining high-resolution satellite data, terrain data and realistic fire simulations, USC Viterbi researchers have developed a reconstruction and prediction tool for making informed decisions when tackling catastrophic wildfires.

USC Viterbi School of Engineering
Research briefs
Researchers improve ability to predict wildfire smoke impacts

U.S. National Science Foundation-supported researchers discovered that incorporating a better representation of carbon-based chemicals  found in smoke into advanced models enables more accurate  predictions of air pollutants to help improve air quality.

National Science Foundation (NSF)
Update
Argentine wildfire AI startup raises $2.7M after building a detection system that beats NASA’s alerts by 35 minutes

The company builds an AI-powered wildfire detection platform that integrates satellite imagery, tower cameras, fire propagation modelling, and real-time alerts, and says its system detects fires on average 35 minutes ahead of NASA’s FIRMS service.

The Next Web
Dead corn under an orange sky, capturing the eerie silence of a once thriving agriculture crippled by climate change.
Update
Why the phrase “Super El Niño” makes Australian climate scientists roll their eyes

Frightening headlines predicting a Super El Niño or even a Godzilla El Niño amp up anxiety levels for farmers and residents of bushfire-prone regions.

Conversation Media Group, the
Research briefs
AI tool predicts wildfire danger faster than current systems

A UC-led study shows AI can predict wildfire risk more accurately than existing indices, offering faster warnings and significant cost savings for fire agencies.

University of Canterbury
Management of wildfire risk in the European Union thumbnail
Documents and publications
Management of wildfire risk in the European Union

This report summarizes the results of a rapid review of wildfire risks, risk management capacity, investment needs, and recommended approaches in the EU, highlighting potential risk management priorities to inform policy dialogue and future research.

Global Facility for Disaster Reduction and Recovery, the (GFDRR)
Croatia - Management of wildfire risk thumbnail
Documents and publications
Croatia - Management of wildfire risk

This report summarizes the results of a rapid review of wildfire risk and management capacity in Croatia, and it highlights potential risk management priorities to inform policy dialogue and future research.

Global Facility for Disaster Reduction and Recovery, the (GFDRR)
Romania - Management of wildfire risk thumbnail
Documents and publications
Romania - Management of wildfire risk

This report summarizes the results of a rapid review of wildfire risks, risk management capacity, investment needs, and key approaches proposed for Romania to inform policy dialogue and future research.

Global Facility for Disaster Reduction and Recovery, the (GFDRR)
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