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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 3,600 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.

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.

34 results



Fire is a fundamental Earth system process and the primary ecosystem disturbance on the global scale. It affects carbon and water cycles through changing terrestrial ecosystems, and at the same time, is regulated by weather and climate, vegetation characteristics, and, importantly, human ignitions and suppression (i.e., the direct...
Author(s): Fang Li, David M. Lawrence, Ben Bond-Lamberty
Year Published: 2018
Type: Document : Book or Chapter or Journal Article
Fire is a dynamic ecological process in forests and impacts the carbon (C) cycle through direct combustion emissions, tree mortality, and by impairing the ability of surviving trees to sequester carbon. While studies on young trees have demonstrated that fire intensity is a determinant of post-fire net primary productivity, wildland...
Author(s): Aaron M. Sparks, Crystal A. Kolden, Alistair M. S. Smith, Luigi Boschetti, Daniel M. Johnson, Mark A. Cochrane
Year Published: 2018
Type: Document : Book or Chapter or Journal Article
The goal of this project was to develop the Plume Dynamics and Meteorology portion of the Study Plan for the Fire and Smoke Model Evaluation Experiment (FASMEE). The Investigators participated in regular meetings with the other discipline leads, modeling leads, and the science leadership team; field trips to examine potential sites...
Author(s): Brian E. Potter, Craig B. Clements
Year Published: 2017
Type: Document : Technical Report or White Paper
This proposed study was in response to the Joint Fire Sciences FA-FON0016-0004 Fire and Smoke Model Evaluation Experiment (FASMEE) Task 5 - Modeling leads. The purpose was to evaluate Daysmoke and PB-Piedmont (PB-P) models to provide information for the FASMEE Phase 2 design. Daysmoke is a local smoke plume dispersion and transport...
Author(s): Yongqiang Liu, Scott L. Goodrick, Gary Achtemeier
Year Published: 2017
Type: Document : Technical Report or White Paper
Photochemical grid models such as the Community Multiscale Air Quality Model (CMAQ) are used to estimate local to continental scale O3, PM, and haze for scientific and regulatory assessments. Field data from specific and well characterized wildland fires is critically important to improve wildland fire emissions estimation...
Author(s): Kirk R. Baker, Thomas E. Pierce
Year Published: 2017
Type: Document : Technical Report or White Paper
The objective of FASMEE is to obtain measurements that can be used to evaluate and advance operational smoke models. Among the focus areas listed in the FON task statements are the modeling of fire growth, fire behavior, and plume development. In current operational models, the physical processes driving fire growth, fire behavior,...
Author(s): William E. Mell, Rodman Linn
Year Published: 2017
Type: Document : Technical Report or White Paper
In this study, WRF-Sfire is coupled with WRF-Chem to construct WRFSC, an integrated forecast system for wildfire behaviour and smoke prediction. WRF-Sfire directly predicts wildfire spread, plume and plume-top heights, providing comprehensive meteorology and fire emissions to chemical transport model WRF-Chem, eliminating the need...
Author(s): Adam K. Kochanski, Mary Ann Jenkins, Kara M. Yedinak, Jan Mandel, Jonathan Beezley, Brian K. Lamb
Year Published: 2016
Type: Document : Book or Chapter or Journal Article
Regional air quality simulations were performed to evaluate the contributions of wildland fires to inter-annual variability of black carbon (BC) concentrations and to assess the contributions of wildfires vs. prescribed fires to BC concentrations and deposition rates to glacier areas and snow-covered surfaces in the western US....
Author(s): Serena H. Chung, Brian K. Lamb, Farren Herron-Thorpe, Rodrigo Gonzalez-Abraham, Vikram Ravi, Tsengel Nergui, Joseph K. Vaughan, Narasimhan K. Larkin, Tara Strand
Year Published: 2015
Type: Document : Technical Report or White Paper
Lidar-data processing techniques are analyzed, which allow determining smoke-plume heights and their dynamics and can be helpful for the improvement of smoke dispersion and air quality models. The data processing algorithms considered in the paper are based on the analysis of two alternative characteristics related to the smoke...
Author(s): Vladimir A. Kovalev, Alexander P. Petkov, Cyle E. Wold, Shawn P. Urbanski, Wei Min Hao
Year Published: 2015
Type: Document : Book or Chapter or Journal Article
In the US, wildfires and prescribed burning present significant challenges to air regulatory agencies attempting to achieve and maintain compliance with air quality regulations. Fire emission factors (EF) are essential input for the emission models used to develop wildland fire emission inventories. Most previous studies quantifying...
Author(s): Shawn P. Urbanski
Year Published: 2013
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).