Document


Title

Limitations on the accuracy of model predictions of wildland fire behaviour: a state-of-the-knowledge overview
Document Type: Journal Article
Author(s): Martin E. Alexander; Miguel G. Cruz
Publication Year: 2013

Cataloging Information

Keyword(s):
  • fire behavior prediction
  • fire environment
  • fire management
  • fire spread
  • model accuracy
  • model applicability
  • model assessment
  • model relationships
  • ROS - rate of spread
  • wildfires
Topic(s):
Partner Site(s):
JFSP Project Number(s):
09-S-03-1
Record Maintained By:
Record Last Modified: October 8, 2020
FRAMES Record Number: 14807
Tall Timbers Record Number: 28291
TTRS Location Status: Not in file
TTRS Call Number: Available thru ILL only
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

The degree of accuracy in model predictions of wildland fire behaviour characteristics are dependent on the model's applicability to a given situation, the validity of the model's relationships, and the reliability of the model input data. While much progress has been made by fire behaviour research in the past 35 years or so in addressing these three sources of model error, the accuracy in model predictions are still very much at the mercy of our present understanding of the natural phenomena exhibited by free-burning wildland fires and the inherent temporal and spatial variability in the fire environment. This paper will serve as a state-of-the-art primer on the subject of error sources in model predictions of wildland fire behaviour and includes a short historical overview of wildland fire behaviour research as it relates to model development.

Citation:
Alexander, Martin E.; Cruz, Miguel G. 2013. Limitations on the accuracy of model predictions of wildland fire behaviour: a state-of-the-knowledge overview. The Forestry Chronicle 89(3):372-383