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Use of spatially refined satellite remote sensing fire detection data to initialize and evaluate coupled weather‐wildfire growth model simulations
Author(s) -
Coen Janice L.,
Schroeder Wilfrid
Publication year - 2013
Publication title -
geophysical research letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.007
H-Index - 273
eISSN - 1944-8007
pISSN - 0094-8276
DOI - 10.1002/2013gl057868
Subject(s) - visible infrared imaging radiometer suite , environmental science , satellite , initialization , meteorology , remote sensing , numerical weather prediction , radiometer , data assimilation , nowcasting , computer science , geography , aerospace engineering , engineering , programming language
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 and then used spatially refined (375 m) 12 h 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.