Wildfire Simulation API

Predict Fire Behavior with Meter-Scale Forecasts

Leverage the power of meter-scale weather forecasts to simulate wildfire propagation. Built for emergency response, urban planning, and environmental protection.

Wildfire Simulation Dashboard

Coupled Weather & Fire Modeling

Wildfires evolve with the weather. Our API couples our 100-meter resolution weather forecasts with advanced fire propagation models to predict spread, intensity, and spot fires.

100 Meter Minimale räumliche Auflösung

15 Minuten Granularität der Ausgabe

1800 Variablen Boden- und atmosphärische Daten

<50 Minuten Rechenzeit für eine 24-Stunden-Prognose

On-Demand Fire Simulations

Our API allows you to trigger simulations the moment weather conditions change.
Weather-Driven

Launch fire spread simulations at any time, anywhere on Earth. Our meter-scale weather API allows you to control when and where you want to run simulations.

Fuel and Topography

Integrate high-resolution fuel bed data and slope effects to see how fire will move through canyons or dense forest versus grasslands.

Dynamic Time-Steps

Run simulations in minutes for real-time decisions, or perform long-term seasonal risk assessments for urban planning.

GIS & Web Mapping Integration

Standardized outputs make it easy to overlay fire perimeters onto your existing GIS tools and web mapping applications.

Wildfire Propagation Map

Actionable Safety

Moving from 'if' to 'where' and 'when'. Our simulations enable stakeholders to take proactive measures before the first spark.
Emergency Services

Optimize resource deployment and evacuation routes based on the predicted path of the fire over the next 6–24 hours.

Utilities

Harden the grid by identifying high-risk corridors where high winds and dry fuel intersect with power lines and other infrastructure.

Insurance

Develop more accurate risk pricing and rapid post-event loss assessment using meter-scale burn probability.

Land Management

Plan prescribed burns with confidence by simulating exactly how smoke and flames will behave under specific weather windows.

The ability to couple hyperlocal winds directly into Weatherwise fire models has reduced our response time in identifying high-risk zones.

– Chief Fire Intelligence Officer.

Fire Service Agency