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).
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).
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. <PDF>
ACKNOWLEDGEMENTS: