Case Study

BETTER WILDFIRE MODELS SAVE PROPERTY AND LIVES

BETTER WILDFIRE MODELS SAVE PROPERTY AND LIVES

HPE DIG ITA L GA ME C HANG E R S BETTER WILDFIRE MODELS SAVE PROPERTY AND LIVES NCAR advancements equip first responders with more useful information, faster INDUSTRY: PUBLIC SECTOR REGION: UNITED STATES VISION Empower emergency responders with fast, effective, granular predictive models of wildfire behavior STRATEGY Build more sophisticated models by simulating how weather and fire interact, combining machine learning with physical data—without sacrificing modeling speed OUTCOMES • Support insights into terrain, conditions to within 30 meters • Equip stakeholders to get predictions within 1–3 hours • Improve ability to model variables and quantify uncertainties For first responders, quickly and accurately anticipating where wildfires are headed is critical to successful co

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