Data Assimilation Driven Simulations

Our goal is to implement the same key concepts that weather forecast models do in fire simulations.  They make predictions, measure reality, measure the difference between reality and prediction, invert the model to correct the parameterization, and then model forward with improved fidelity.  Our goal is better fire simulations by pulling in improved parameterization based on measurement, model inversion, and re-parameterization.