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Research and Publications Database

The NRFSN research and publications database leads users to regionally relevant fire science. There are more than 4,800 documents, which have been carefully categorized by the NRFSN to highlight topics and ecosystems important in the Northern Rockies Region. Categorized resources include records from the Joint Fire Science Program (JFSP), Fire Research and Management Exchange System (FRAMES), and Fire Effects Information System (FEIS).

Note: Additional Northern Rockies fire research is available from our Webinars & Recorded Media Archive, which provides access to webinars, videos, podcasts, storymaps, and seminars.

Hints: By default, the Search Terms box reads and searches for terms as if there were AND operators between them. To search for one or more terms, use the OR operator. Use quotation marks around phrases or to search for exact terms. To maximize the search function, use the Search Terms box for other information (e.g. author(s), date, species of interest, additional fire topics) together with the topic, ecosystem, and/or resource type terms from the lists. Additional information is available in our documents on topics, ecosystems, and types.

315 results


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A microscale wildfire model, QES-Fire, that dynamically couples the fire front to microscale winds was developed using a simplified physics rate of spread (ROS) model, a kinematic plume-rise model and a mass-consistent wind solver. The model is three-dimensional and couples fire heat fluxes to the wind field while being more...
Author(s): Matt Moody, Jeremy A. Gibbs, Steven K. Krueger, Derek V. Mallia, Eric Pardyjak, Adam K. Kochanski, Brian N. Bailey, Rob Stoll
Year Published: 2022
Type: Document : Book or Chapter or Journal Article
As the frequency and severity of wildfires escalates in many regions, the study of fire-resilient forestry practices becomes crucial. While forest owners may employ several silvicultural practices to mitigate fire damage, the analytical study of optimal forest management has been reduced to the effects of fire on optimal rotation...
Author(s): João V. Patto, Renato Rosa
Year Published: 2022
Type: Document : Book or Chapter or Journal Article
The National Predictive Services (NPS) asked the USFS Rocky Mountain Center for Fire-Weather Intelligence (RMC) as a part of the Fire, Fuel, and Smoke Science Program (FFS) at the USFS Rocky Mountain Research Station (RMRS) to assist with the development of a system of statistical models for predicting the ignition probability (...
Author(s): Ned Nikolov, Phillip Bothwell, John S. Snook
Year Published: 2022
Type: Document : Technical Report or White Paper
The suggestion has been made within the wildland fire community that the rate of spread in the upper portion of the fire danger spectrum is largely independent of the physical fuel characteristics in certain forest ecosystem types. Our review and analysis of the relevant scientific literature on the subject suggest that fuel...
Author(s): Miguel G. Cruz, Martin E. Alexander, Paulo M. Fernandes
Year Published: 2022
Type: Document : Book or Chapter or Journal Article
This is the second part of a series of two papers concerning fire-spotting generated fires. While, in the first part, we focus on the impact of macro-scale factors on the growth of the burning area by considering the atmospheric stability conditions, in the present study we focus on the impact of meso-scale factors by considering...
Author(s): Vera N. Egorova, Andrea Trucchia, Gianni Pagnini
Year Published: 2022
Type: Document : Book or Chapter or Journal Article
Wildland fire behavior models are often initiated using the detection information listed in incident reports. This information carries an unknown amount of uncertainty, though it is often the most readily available ignition data. To determine the extent to which the use of detection information affects wildland fire forecasts, this...
Author(s): Amy L. DeCastro, Amanda Siems-Anderson, Ebone Smith, Jason C. Knievel, Branko Kosović, Barbara G. Brown, Jennifer Balch
Year Published: 2022
Type: Document : Book or Chapter or Journal Article
In forest fires, the fire plume can heat tree crowns and cause the mortality of live vegetation, even though the surface fire spread is of low burning intensity. A lot of empirical or semi-empirical correlations have been built to link the fire intensity and flame height to the crown scorch height. These correlations lack the basic...
Author(s): Kuibin Zhou, Albert Simeoni
Year Published: 2022
Type: Document : Book or Chapter or Journal Article
The Joint Fire Science Program (JFSP) and the Environmental Security Technology Certification Program (ESTCP) initiated the Fire and Smoke Model Experiment (FASMEE) (https://fasmee.net) by funding JFSP Project 15-S-01-01. This nationwide, multiagency effort identifies and collects critical measurements that will be used to advance...
Author(s): Roger D. Ottmar, Adam C. Watts, Sim Larkin, Tim Brown, Nancy H. F. French
Year Published: 2022
Type: Document : Technical Report or White Paper
Wildfire extent and their impacts are increasing around the world. Fire management agencies use fire behaviour simulation models operationally (during a wildfire event) or strategically for risk assessment and treatment. These models provide agencies with increased knowledge of fire potential to improve identification of the best...
Author(s): Trent D. Penman, Sarah C. McColl-Gausden, Brett Cirulis, D. Kultaev, Dan Ababei, Lauren T. Bennett
Year Published: 2022
Type: Document : Book or Chapter or Journal Article
The goal of decreasing wildfire hazard as much as possible, using minimal fuel treatments, has led to increasing scholarly interest in fuel reduction spatial optimisation. Most models in the field rest on the assumption of a known wind direction and a corresponding dominant direction of fire spread, and plan firebreaks in...
Author(s): Assaf Shmuel, Eyal Heifetz
Year Published: 2022
Type: Document : Book or Chapter or Journal Article

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These resources are compiled in partnership with the Joint Fire Science Program (JFSP), Fire Research and Management Exchange System (FRAMES), and Fire Effects Information System (FEIS).