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Fire Process

The goal of the Fire Process component is to build an intersectional fire process node that increases fire process modeling capacity in Nevada. At the core of this component is the ability to leverage multiple physics-based and coupled atmospheric fire behavior models to integrate into both data driven and hierarchical model frameworks. We envision a system where fine scale physics-based fire behavior models operate both three-dimensionally and provide key insights as scales coarsen to both operational coupled atmospheric and traditional operational fire behavior models.

By integrating a continuum of experiments from laboratory-based, to small plots, large broadcast prescribed fire, and wildfire reconstructions, we foresee a union with data driven modeling and machine learning advances that will improve our understanding of fire processes and effects. The integration of experimental data and enhanced cyber infrastructure is expected to yield improvements to fire process modeling and 3D visualization that is not generally available to most researchers or modeling groups.

We anticipate the results over the five-year project will enhance fire process modeling by accessing a strong interdisciplinary cohort of ecological, computer science, and engineering scientists and will allow for the development of strong reciprocal relationships with existing fire modeling groups.

Research Team