Evaluation of deep learning tools underscores the strengths, limitations and opportunities for next‑generation hybrid modeling.
Snowmass decided on Monday to pursue a model-focused approach to wildfire mitigation. The town directed staff to seek details on a wildfire modeling system of Snowmass Village from Dr. Hussam Mahmoud, ...
A new conceptual framework for incorporating the way plants use carbon and water, or plant dynamics, into fine-scale computer models of wildland fire provides a critical first step toward improved ...
From fireworks to woodburning to modeling fire behavior, Jenna Sjunneson McDanold’s love of fire has fueled her growth as an artist and a mathematician. As part of her studies as mathematical modeling ...
California’s fires are getting bigger and harder to predict. The only way to tame them may be to remake the landscape itself. At the height of California’s worst wildfire season on record, Geoff ...
Wildland fire is an important source of carbon and other pollutants to the atmosphere. Accurate datasets to spatially quantify carbon and trace gas emissions from fire are needed. Dr. Nancy French, of ...
Artificial intelligence is improving the accuracy of fire forecasts made by Europe’s top intergovernmental weather center. Traditional fire forecasts are largely based on weather models that predict ...
A fire model that has been able to predict wildfire movement across vegetation and the built-environment, meaning downtown and residential areas, with close to 90% accuracy will be assessing the Aspen ...
With wildfires growing more destructive both in the United States and around the world, University at Buffalo researchers have conducted one of the most extensive evaluations to date of artificial ...
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