Calibration of FARSITE simulator in northern Iranian forests
- 1University of Tehran, Faculty of Natural Resources, P.O. Box 4314, Zobe Ahan Street, 3158777878 Karaj, Iran
- 2University of Sassari, Department of Science for Nature and Environmental Resources (DIPNET), Via Enrico De Nicola 9, 07100 Sassari, Italy
- 3Euro-Mediterranean Center on Climate Changes (CMCC), IAFENT Division, Via De Nicola 9, 07100 Sassari, Italy
- 4Université Laval, Center for Research in Geomatics (CRG) 1055, Avenue du Séminaire, Pavillon Louis-Jacques-Casault, Québec G1V 0A6, QC, Canada
- 5University of Lleida, Department of Agricultural and Forest Engineering (EAGROF), Alcalde Rovira Roure 191, 25198 Lleida, Spain
Abstract. Wildfire simulators based on empirical or physical models need to be locally calibrated and validated when used under conditions that differ from those where the simulators were originally developed. This study aims to calibrate the FARSITE fire spread model considering a set of recent wildfires that occurred in northern Iranian forests. Site-specific fuel models in the study areas were selected by sampling the main natural vegetation type complexes and assigning standard fuel models. Overall, simulated fires presented reliable outputs that accurately replicated the observed fire perimeters and behavior. Standard fuel models of Scott and Burgan (2005) afforded better accuracy in the simulated fire perimeters than the standard fuel models of Anderson (1982). The best match between observed and modeled burned areas was observed on herbaceous fuel models. Fire modeling showed a high potential for estimating spatial variability in fire spread and behavior in the study areas. This work represents a first step in the application of fire spread modeling in northern Iran for wildfire risk monitoring and management.