The Pyregence Consortium supports a suite of wildfire models that serve as the foundation for forecasting, risk assessment, and decision support tools. From near-term ignition and spread forecasting to long-term scenario modeling under climate and land-use change, Pyregence models are built for transparency, flexibility, and scientific rigor. These models, including ELMFIRE, GridFire, Pyretechnics, FRSM/LUCAS model framework, and the CAWFE coupled fire–weather model, capture a range of complexity of wildfire behavior across scales. They integrate real-time and forecasted weather, fuel conditions, topography, ignition sources, and atmospheric dynamics to simulate how fires ignite, grow, and impact landscapes and communities.

Whether used for daily operational decision-making or long-term climate resilience planning, Pyregence models provide open-access, ensemble-ready, and research-validated capabilities that support utilities, emergency managers, land-use planners, scientists, and policymakers alike.