Document


Title

Evaluating a model for predicting active crown fire rate of spread using wildfire observations
Document Type: Journal Article
Author(s): Martin E. Alexander; Miguel G. Cruz
Publication Year: 2006

Cataloging Information

Keyword(s):
  • Canada
  • CFIS - Crown Fire Initiation and Spread System
  • crown fires
  • fire management
  • fire observations
  • prediction models
  • rate of spread
  • spot fires
  • statistical analysis
  • surface fires
  • wildfires
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Record Maintained By:
Record Last Modified: November 5, 2019
FRAMES Record Number: 3657
Tall Timbers Record Number: 21184
TTRS Location Status: In-file
TTRS Call Number: Journals-C
TTRS Abstract Status: Fair use, Okay, Reproduced by permission

This bibliographic record was either created or modified by the Tall Timbers Research Station and Land Conservancy and is provided without charge to promote research and education in Fire Ecology. The E.V. Komarek Fire Ecology Database is the intellectual property of the Tall Timbers Research Station and Land Conservancy.

Description

We evaluated the predictive capacity of a rate of spread model for active crown fires (M.G. Cruz, M.E. Alexander, and R.H. Wakimoto. 2005. Can. J. For. Res. 35: 1626-1639) using a relatively large (n = 57) independent data set originating from wildfire observations undertaken in Canada and the United States. The assembled wildfire data were characterized by more severe burning conditions and fire behavior in terms of rate of spread and the degree of crowning activity than the data set used to parameterize the crown fire rate of spread model. The statistics used to evaluate model adequacy showed good fit and a level of uncertainty considered acceptable for a wide variety of fire management and fire research applications. The crown fire rate of spread model predicted 42% of the data with an error lower then +/-25%. Mean absolute percent errors of 51% and 60% were obtained for Canadian and American wildfires, respectively. The characteristics of the data set did not allow us to determine where model performance was weaker and consequently identify its shortcomings and areas of future improvement. The level of uncertainty observed suggests that the model can be readily utilized in support of operational fire management decision making and for simulations in fire research studies.

[This publication is referenced in the "Synthesis of knowledge of extreme fire behavior: volume I for fire managers" (Werth et al 2011).]

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Citation:
Alexander, Martin E.; Cruz, Miguel G. 2006. Evaluating a model for predicting active crown fire rate of spread using wildfire observations. Canadian Journal of Forest Research 36(11):3015-3028.

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