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A JFSP Fire Science Exchange Network
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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 4,700 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.

214 results


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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
There is an urgent need for next-generation smoke research and forecasting (SRF) systems to meet the challenges of the growing air quality, health and safety concerns associated with wildland fire emissions. This review paper presents simulations and experiments of hypothetical prescribed burns with a suite of selected fire...
Author(s): Yongqiang Liu, Adam K. Kochanski, Kirk R. Baker, William E. Mell, Rodman Linn, Ronan Paugam, Jan Mandel, Aimé Fournier, Mary Ann Jenkins, Scott L. Goodrick, Gary Achtemeier, Fengjun Zhao, Roger D. Ottmar, Nancy H. F. French, Narasimhan K. Larkin, Timothy J. Brown, Andrew T. Hudak, Matthew B. Dickinson, Brian E. Potter, Craig B. Clements, Shawn P. Urbanski, Susan J. Prichard, Adam C. Watts, Derek McNamara
Year Published: 2019
Type: Document : Book or Chapter or Journal Article
Poor air quality arising from prescribed and wildfire smoke emissions poses threats to human health and therefore must be taken into account for the planning and implementation of prescribed burns for reducing contemporary fuel loading and other management goals. To better understand how smoke properties vary as a function of fuel...
Author(s): Kellen N. Nelson, Jayne M. Boehmler, Andrey Y. Khlystov, Hans Moosmuller, Vera Samburova, Chiranjivi Bhattarai, Eric M. Wilcox, Adam C. Watts
Year Published: 2019
Type: Document : Book or Chapter or Journal Article
Prescribed fire is often used by land managers as an effective means of implementing fuel treatments to achieve a variety of goals. Smoke generated from these activities can put them at odds with air quality regulations. We set out to characterize the emission tradeoff between wildfire and prescribed fire in activity fuels from...
Author(s): Joshua C. Hyde, Eva K. Strand
Year Published: 2019
Type: Document : Book or Chapter or Journal Article
Epidemiologists use prediction models to downscale (i.e., interpolate) air pollution exposure where monitoring data is insufficient. This study compares machine learning prediction models for ground-level ozone during wildfires, evaluating the predictive accuracy of ten algorithms on the daily 8-h maximum average ozone during a 2008...
Author(s): Gregory L. Watson, Donatello Telesca, Colleen Reid, Gabriele G. Pfister, Michael Jerrett
Year Published: 2019
Type: Document : Book or Chapter or Journal Article
Wildland firefighters are exposed to wood smoke, which contains hazardous air pollutants, by suppressing thousands of wildfires across the U. S. each year. We estimated the relative risk of lung cancer and cardiovascular disease mortality from existing PM2.5 exposure-response relationships using measured PM4 concentrations from...
Author(s): Kathleen M. Navarro, Michael T. Kleinman, Chris E. Mackay, Timothy E. Reinhardt, John R. Balmes, George A. Broyles, Roger D. Ottmar, Luke P. Naher, Joseph W. Domitrovich
Year Published: 2019
Type: Document : Book or Chapter or Journal Article
Wildfire is an essential earth‐system process, impacting ecosystem processes and the carbon cycle. Forest fires are becoming more frequent and severe, yet gaps exist in the modeling of fire on vegetation and carbon dynamics. Strategies for reducing carbon dioxide (CO2) emissions from wildfires include increasing tree harvest,...
Author(s): Jeffrey E. Stenzel, Kristina J. Bartowitz, Melannie D. Hartman, James A. Lutz, Crystal A. Kolden, Alistair M. S. Smith, Beverly E. Law, Mark E. Swanson, Andrew J. Larson, William J. Parton, Tara W. Hudiburg
Year Published: 2019
Type: Document : Book or Chapter or Journal Article
The FireFlux II experiment was conducted in a tall grass prairie located in south-east Texas on 30 January 2013 under a regional burn ban and high fire danger conditions. The goal of the experiment was to better understand micrometeorological aspects of fire spread. The experimental design was guided by the use of a coupled fire–...
Author(s): Craig B. Clements, Adam K. Kochanski, Daisuke Seto, Braniff Davis, Christopher Camacho, Neil Lareau, Jonathan Contezac, Joseph C. Restaino, Warren Heilman, Steven K. Krueger, Bret W. Butler, Roger D. Ottmar, Robert E. Vihnanek, James Flynn, Jean-Baptiste Filippi, Toussaint Barboni, Dianne E. Hall, Jan Mandel, Mary Ann Jenkins, Joseph J. O'Brien, Benjamin Hornsby, Casey Teske
Year Published: 2019
Type: Document : Book or Chapter or Journal Article
Epidemiologists use prediction models to downscale (i.e., interpolate) air pollution exposure where monitoring data is insufficient. This study compares machine learning prediction models for ground-level ozone during wildfires, evaluating the predictive accuracy of ten algorithms on the daily 8-h maximum average ozone during a 2008...
Author(s): Gregory L. Watson, Donatello Telesca, Colleen Reid, Gabriele G. Pfister, Michael Jerrett
Year Published: 2019
Type: Document : Book or Chapter or Journal Article
The damage caused by forest fire to forestry resources and economy is quite serious. As one of the most important characters of early forest fire, smoke is widely used as a signal of forest fire. In this paper, we propose a novel forest fire smoke detection method based on computer vision and diffusion model. Unlike the video-based...
Author(s): Yu Gao, Pengle Cheng
Year Published: 2019
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).