How I became one of the world's top experts on fire research: despite all, when preparation meets opportunity, truth in science emerges

The EX-SHADWELL-Full Scale Fire Research and Test Ship

10.21236/ada198605 ◽

1988 ◽

Cited By ~ 4

Author(s):

Homer W. Carhart ◽

Frederick W. Williams

Keyword(s):

Full Scale ◽

Fire Research

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Validating Fire Research and Test Protocols

Journal of Applied Fire Science ◽

10.2190/882u-1089-xlqg-kmmn ◽

1999 ◽

Vol 9 (1) ◽

pp. 71-77

Author(s):

Factory Mutual Research

Keyword(s):

Fire Research

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Editor's Note: Networking Fire Research Efforts

Journal of Applied Fire Science ◽

10.2190/lrjm-m7vy-v74j-3xul ◽

1999 ◽

Vol 8 (4) ◽

pp. 1-1

Author(s):

Paul R. DeCicco

Keyword(s):

Fire Research

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Scaling applications in fire research

Fire Safety Journal ◽

10.1016/0379-7112(89)90045-3 ◽

1989 ◽

Vol 15 (1) ◽

pp. 3-29 ◽

Cited By ~ 205

Author(s):

James G. Quintiere

Keyword(s):

Fire Research ◽

In Fire

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Introduction to the fire research lecture 1988

Fire Safety Journal ◽

10.1016/0379-7112(89)90025-8 ◽

1989 ◽

Vol 15 (5) ◽

pp. 347

Author(s):

D.D. Drysdale

Keyword(s):

Fire Research

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Evaluating a model for predicting active crown fire rate of spread using wildfire observations

Canadian Journal of Forest Research ◽

10.1139/x06-174 ◽

2006 ◽

Vol 36 (11) ◽

pp. 3015-3028 ◽

Cited By ~ 61

Author(s):

Martin E Alexander ◽

Miguel G Cruz

Keyword(s):

Fire Management ◽

Model Performance ◽

The United States ◽

Fire Research ◽

Management Decision ◽

Crown Fire ◽

Predictive Capacity ◽

Data Set ◽

Rate Of Spread ◽

Spread Model

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.

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