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Research and Publications Database

The NRFSN research and publications database leads users to regionally relevant fire science. There are nearly 4,000 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 Webinar & Video Archive, which provides access to webinars, videos, podcasts, 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.

206 results


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We integrated a widely used forest growth and management model, the Forest Vegetation Simulator, with the FSim large wildfire simulator to study how management policies affected future wildfire over 50 years on a 1.3 million ha study area comprised of a US national forest and adjacent lands. The model leverages decades of research...
Author(s): Alan A. Ager, Ana M. G. Barros, Rachel M. Houtman, Robert C. Seli, Michelle A. Day
Year Published: 2020
Type: Document : Book or Chapter or Journal Article
Coupled fire-atmospheric modeling tools are increasingly used to understand the complex and dynamic behavior of wildland fires. Multiple research tools linking combustion to fluid flow use Navier-Stokes numerical solutions coupled to a thermodynamic model to understand fire-atmospheric feedbacks, but these computational fluid...
Author(s): Rodman Linn, Scott L. Goodrick, Sara Brambilla, Martin J. Brown, R. S. Middleton, Joseph J. O'Brien, J. Kevin Hiers
Year Published: 2020
Type: Document : Book or Chapter or Journal Article
Monte Carlo simulations using wildland fire spread models have been conducted to produce numerical estimates of fire likelihood, project potential fire effects, and produce event sets of realistic wildfires (Parisien et al., 2019). The application of these methods has greatly expanded over the last few decades as a result of...
Author(s): Marc-Andre Parisien, Alan A. Ager, Ana M. G. Barros, Denyse A. Dawe, Sandy Erni, Mark A. Finney, Charles W. McHugh, Carol Miller, Sean A. Parks, Karen L. Riley, Karen C. Short, Christopher A. Stockdale, Xianli Wang, Ellen Whitman
Year Published: 2020
Type: Document : Book or Chapter or Journal Article
A simple, easy-to-evaluate, surrogate model was developed for predicting the particle emission source term in wildfire simulations. In creating this model, we conceptualized wildfire as a series of flamelets, and using this concept of flamelets, we developed a one-dimensional model to represent the structure of these flamelets which...
Author(s): Alexander J. Josephson, Troy M. Holland, Sara Brambilla, Michael J. Brown, Rodman Linn
Year Published: 2020
Type: Document : Book or Chapter or Journal Article
Pyrolysis is a key process in all stages of wood burning from ignition to extinction. Understanding each stage is crucial to tackle wildfires and assess the fire safety of timber buildings. A model of appropriate complexity of wood pyrolysis and oxidation is missing, which limits the understanding of fires fuelled by wood. Progress...
Author(s): Franz Richter, Guillermo Rein
Year Published: 2020
Type: Document : Book or Chapter or Journal Article
In large-scale mass fires generated in forests or by a nuclear event, the area of the fire is large (diameter 1 or more kilometers) whereas the flame height is relatively small (less than 10 m) creating a large turbulent buoyant plume. This paper determines a correlation for the magnitude of velocity such a flow generates near above...
Author(s): Michael Delichatsios, Jianping Zhang
Year Published: 2020
Type: Document : Book or Chapter or Journal Article
1. Fire is a powerful ecological and evolutionary force that regulates organismal traits, population sizes, species interactions, community composition, carbon and nutrient cycling, and ecosystem function. It also presents a rapidly growing societal challenge, due to both increasingly destructive wildfires and fire exclusion in fire...
Author(s): Kendra K. McLauchlan, Philip E. Higuera, Jessica R. Miesel, Brendan M. Rogers, Jennifer A. Schweitzer, Jacquelyn Kremper Shuman, Alan J. Tepley, J. Morgan Varner, Thomas T. Veblen, Solny A. Adalsteinsson, Jennifer Balch, Enric Batllori, Erica R. Bigio, Paulo M. Brando, Megan E. Cattau, Janice L. Coen, Raelene M. Crandall, Lori D. Daniels, Neal J. Enright, Wendy S. Gross, Brian J. Harvey, Jeff A. Hatten, Sharon M. Hermann, Rebecca E. Hewitt, Leda N. Kobziar, Jennifer B. Landesmann, Michael M. Loranty, S. Yoshi Maezumi, Linda Mearns, Max A. Moritz, Jonathan A. Myers, Juli G. Pausas, Adam F. A. Pellegrini, William J. Platt, Jennifer Roozeboom, Hugh Safford, Fernanda Santos, Robert M. Scheller, Rosemary L. Sherriff, Kevin G. Smith, Melinda D. Smith, Adam C. Watts
Year Published: 2020
Type: Document : Synthesis
Fire activity has a huge impact on human lives. Different models have been proposed to predict fire activity, which can be classified into global and regional ones. Global fire models focus on longer timescale simulations and can be very complex. Regional fire models concentrate on seasonal forecasting but usually require inputs...
Author(s): Leonardo N. Ferreira, Didier A. Vega-Oliveros, Liang Zhao, Manoel F. Cardoso, Elbert E.N. Macau
Year Published: 2020
Type: Document : Book or Chapter or Journal Article
A learning-based wildfire spread model was developed in this study to predict short-term wildfire spread. Real-time rate of spread (RoS) measurement was first conducted by calculating normal movements of fire fronts. Subsequently, machine learning was employed to correlate the local RoS and environmental parameters and predict the...
Author(s): Chunjie Zhai, Siyu Zhang, Zhaolou Cao, Xinmeng Wang
Year Published: 2020
Type: Document : Book or Chapter or Journal Article
The effect of ignition protocol on the development of grassfires is investigated using physics-based simulation. Simulation allows measurement of the forward rate of spread of a fire as a function of time at high temporal resolution. Two ignition protocols are considered: the inward ignition protocol, where the ignition proceeds in...
Author(s): Duncan Sutherland, J. Sharples, K. A. M. Moinuddin
Year Published: 2020
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).