We are developing a wildland fire model based on semi-empirical relations that estimate the rate of spread of a surface fire and post-frontal heat release, ...

We are developing a wildland fire model based on semi-empirical relations that estimate the rate of spread of a surface fire and post-frontal heat release, ...

We are developing a wildland fire model based on semi-empirical relations that estimate the rate of spread of a surface fire and post-frontal heat release, ...

Evaluation of a data-driven wildland fire spread forecast model with spatially-distributed parameter estimation in simulations of the FireFlux I field-scale ...

The goal of dynamic data driven simulation is to establish a feedback connection from a real wildfire to the simulation model by utilizing the real time data ...

Instead of having linear combinations of the states create a number of smaller fires, linear combinations of the transformed states move a single fire around.

The WIFIRE project builds an end-to-end cyberinfrastructure for real-time and data-driven simulation, prediction, and visualization of wildfire behavior.

A wildland fire model based on semi-empirical relations for the spread rate of a surface fire and post-frontal heat release is coupled with the Weather ...

Jan 15, 2018 · The WIFIRE project builds an end-to-end cyberinfrastructure for real-time and data-driven simulation, prediction, and visualization of wildfire ...

Feb 29, 2024 · This study proposes a novel dual-model deep learning approach to achieve a super real-time forecast of 2-dimensional wildfire spread in ...