Test simulation of wildland fire propagation (regional scale). Mean forecast (blue line): mean of statistical ensemble of predicted fire front position without data assimilation. Mean analysis (red line): mean of statistical ensemble of predicted fire front position with data assimilation. The good agreement between the mean analysis and the observations demonstrate the performance of data assimilation. imrs San-Diego-Fires-S
  • Data-Driven Wildland Fire Spread Modeling

    The objective of this project is to develop a prototype data-driven wildland fire simulation capability capable of forecasting the fire spread dynamics.

  • Tracking the Long-Term Cost of Wildfire Emissions

    Sponsored by the UMD Council on the Environment, this project will combine computer-based fire models with air- and spaceborne remote sensing systems using data assimilation.

  • WIFIRE

    An NSF-funded end-to-end cyberinfrastructure (CI) for real-time and data-driven simulation, prediction and visualization of wildfire behavior.

Data-Driven Wildland Fire Research Funded by UMD's ConE

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Project Highlights

Funded Projects and Collaborators: