000			01991nab a2200241 4500
005			20260520001113.0
008			260224s2016 xxu ing
041			_aInglés
245	0	0	_aEvaluating Crown Fire Rate of Spread Predictions from Physics-Based Models
260			_a _b _cene. 2016
270			_a25/07/2016 ; 25/07/2016
300			_a16 p. ; 221-237
520			_aTranscripción del resúmen realizada por el autor: Modeling the behavior of crown fires is challenging due to the complex set of coupled processes that drive the characteristics of a spreading wildfire and the large range of spatial and temporal scales over which these processes occur. Detailed physics-based modeling approaches such as FIRETEC and the Wildland Urban Interface Fire Dynamics Simulator (WFDS) simulate fire behavior using computational fluid dynamics based methods to numerically solve the three-dimensional, time dependent, model equations that govern, to some approximation, the component physical processes and their interactions that drive fire behavior. Both of these models have had limited evaluation and have not been assessed for predicting crown fire behavior. In this paper, we utilized a published set of field-scale measured crown fire rate of spread (ROS) data to provide a coarse assessment of crown fire ROS predictions from previously published studies that have utilized WFDS or FIRETEC. Overall, 86% of all simulated ROS values using WFDS or FIRETEC fell within the 95% prediction interval of the empirical data, which was above the goal of 75% for dynamic ecological modeling. However, scarcity of available empirical data is a bottleneck for further assessment of model performance.
581			_a1
773	0		_tFire Technology _g52
942			_cARTICULO
100	1		_aHoffman, C.M. _955474
100	1		_aCanfield, J. _955475
100	1		_aMell, W. _955476
100	1		_aSieg, C.H. _955477
100	1		_aPimont, F. _955478
999			_c189655 _d189655