Wildfire Modeling with Data Assimilation

Large wildfires may grow for weeks or months from ignition until extinction. Simulating events with coupled numerical weather prediction (NWP)-wildland fire models is a challenge because NWP model errors grow with time. A new simulation paradigm was tested. Coupled Atmosphere-Wildland Fire Environment model simulations of the 2012 Little Bear Fire in New Mexico were implemented for multiple days of fire growth from ignition, then used spatially refined (375 m) 12h satellite active fire data derived from the Visible Infrared Imaging Radiometer Suite (VIIRS) to initialize a fire in progress. The simulations represented fire growth well for 12-24 h after each initialization in comparison to later satellite passes but strayed from mapped area with time.  A cycling approach, in which successive VIIRS perimeters were used to initialize fire location for the next 12 h period, overcame this and can be used with cycled weather forecasts to predict even a long-lived fire's lifecycle.


Fig. 1 The first 9 VIIRS active fire detection polygons during the 2012 Little Bear Fire and the perimeter mapped by USDA Forest Service NIROPs (white line) at 11:10 P.M. MDT on 11 June (12 June, 05:10 UTC). Colors indicate detected fire extent at different overpass dates and times (UTC) (see color bar).

Use of spatially refined satellite remote sensing fire detection data to initialize and evaluate coupled weatherwildfire growth model simulations

Figure 2. The VIIRS fire perimeter (yellow line) used for initializing fire location in EXPTA. The total heat flux (kW m2) (color bar) shows modeled fire extent 12 h later, along with coincident VIIRS data (red line), modeled winds at 21 m above- ground level, and modeled smoke mixing ratio (white).

Use of spatially refined satellite remote sensing fire detection data to initialize and evaluate coupled weatherwildfire growth model simulations



Use of spatially refined satellite remote sensing fire detection data to initialize and evaluate coupled weatherwildfire growth model simulations

Figure 3. Modeled fire extent (red) in EXPTA, EXPTB, and EXPTC, in which the fire extent is initialized using the outer- most VIIRS-derived active fire detection pixel. Active fire and burned interior pixels, mapped to model fuel cells, are indicated (purple fill). Each simulation is run until 10 June at 08:33 UTC, the time of the fourth pass. Terrain contours are plotted every 88 m. Black-rimmed frames indicate simulation sequences that, together, make up a cycling approach for modeling a wildfire’s lifetime.



REFERENCE:
Coen, J. L., and W. Schroeder (2013), Use of spatially refined remote sensing fire detection data to initialize and evaluate coupled weather-wildfire growth simulations.  Geophys. Res. Lett., 40, doi:10.1002/2013GL057868.
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Use of spatially refined satellite remote sensing fire detection data to initialize and evaluate coupled weatherwildfire growth model simulations

ACKNOWLEDGEMENTS:


This material is based upon work supported by the National Science Foundation under Grants No. 0324910, 0421498, and 0835598, the National Aeronautics and Space Administration under Awards NNX12AQ87G and NNH11AS03, and the Federal Emergency Management Agency under Award EMW-2011-FP-01124. The NSF National Center for Atmospheric Research is sponsored by the National Science Foundation. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation. No endorsement by the U.S. Department of Agriculture is implied.  The model was developed with support from the USDA Forest Service Riverside Fire Laboratory and Missoula Fire Laboratory and contributions from individuals at NSF NCAR, the USDA Forest Service Riverside Fire Laboratory (now Pacific Southwest Research Station), and the Australian Bureau of Meteorology.

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Keywords:  wildfire model, fire behavior, forest fire, fire model, wildland fire model, wildfire data assimilation