Skip to Main Content
Modeling moisture content of fine dead wildland fuels: Input to the BEHAVE fire prediction systemAuthor(s): Richard C. Rothermel; Ralph A. Wilson; Glen A. Morris; Stephen S. Sackett
Source: Research Paper INT-359. Ogden, UT: U.S. Department of Agriculture, Forest Service, Intermountain Research Station. 61 p.
Publication Series: Research Paper (RP)
Station: Intermountain Forest Experiment Station
View PDF (3.61 MB)
DescriptionDescribes a model for predicting moisture content of fine fuels for use with the BEHAVE fire behavior and fuel modeling system. The model is intended to meet the need for more accurate predictions of fine fuel moisture, particularly in northern conifer stands and on days following rain. The model is based on the Canadian Fine Fuel Moisture Code (FFMC), modified to account for solar heating of fuels and to predict diurnal trends in fine fuel moisture. The model may be initiated without extensive data on prior weather. When compared to the FFMC and the fire behavior officers' procedures, the new model gave consistently better predictions over the complete range of fuel conditions.
- You may send email to email@example.com to request a hard copy of this publication.
- (Please specify exactly which publication you are requesting and your mailing address.)
- We recommend that you also print this page and attach it to the printout of the article, to retain the full citation information.
- This article was written and prepared by U.S. Government employees on official time, and is therefore in the public domain.
CitationRothermel, Richard C.; Wilson, Ralph A.; Morris, Glen A.; Sackett, Stephen S. 1986. Modeling moisture content of fine dead wildland fuels: Input to the BEHAVE fire prediction system. Research Paper INT-359. Ogden, UT: U.S. Department of Agriculture, Forest Service, Intermountain Research Station. 61 p.
Keywordsfuel moisture, fine fuels, model, fire behavior, diurnal, solar, shade
- BEHAVE: fire behavior prediction and fuel modeling system - BURN subsystem, Part 2
- Using a prescribed fire to test custom and standard fuel models for fire behaviour prediction in a non-native, grass-invaded tropical dry shrubland
- Evaluation of a Dynamic Load Transfer Function Using Grassland Curing Data
XML: View XML