| Speaker: | Craig Douglas Computer Science Departments University of Kentucky and Yale University (on sabbatical at Texas A&M) |
| Title: | A Wildland Fire Model with Data Assimilation |
| Time: | 3:00-4:00 pm |
| Place: | Blocker 628 |
A wildfire model is formulated based on balance equations for energy and fuel, where the fuel loss due to combustion corresponds to the fuel reaction rate. The resulting coupled partial differential equations have coefficients that can be approximated from prior measurements of wildfires. An Ensemble Kalman Filter technique is then used to assimilate temperatures measured at selected points into running wildfire simulations. The assimilation technique is able to modify the simulations to track the measurements correctly even if the simulations were started with an erroneous ignition location that is quite far away from the correct one.
This research has been supported in part by approximately 10 grants from the National Science Foundation to five institutions (including Texas A&M).
Last revised: 11/05/07 By: abnersg@math