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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 4,800 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.

35 results


Select a Topic, and the sub-topic terms will appear.

Forest fire is a ubiquitous disaster which has a long-term impact on the local climate as well as the ecological balance and fire products based on remote sensing satellite data have developed rapidly. However, the early forest fire smoke in remote sensing images is small in area and easily confused by clouds and fog, which makes it...
Author(s): Zewei Wang, Pengfei Yang, Haotian Liang, Change Zheng, Jiyan Yin, Ye Tian, Wenbin Cui
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
Climate change and human activities have drastically altered the natural wildfire balance in the Western US and increased population health risks due to exposure to pollutants from fire smoke. Using dynamically downscaled climate model projections, we estimated additional asthma emergency room visits and hospitalizations due to...
Author(s): Jennifer D. Stowell, Cheng-En Yang, Joshua S. Fu, Noah Scovronick, Matthew J. Strickland, Yang Liu
Year Published: 2021
Type: Document : Book or Chapter or Journal Article
Wildfire emissions affect downwind air quality and human health. Predictions of these impacts using models are limited by uncertainties in emissions and chemical evolution of smoke plumes. Using high-time-resolution aircraft measurements, we illustrate spatial variations that can exist within a plume due to differences in the...
Author(s): Brett B. Palm, Qiaoyun Peng, Samuel R. Hall, Kirk Ullmann, Teresa L. Campos, Andrew J. Weinheimer, Denise D. Montzka, Geoffrey S. Tyndall, Wade Permar, Lu Hu, Frank Flocke, Emily V. Fischer, Joel A. Thornton
Year Published: 2021
Type: Document : Book or Chapter or Journal Article
PM2.5 is the most monitored air pollutant for which EPA has set national ambient air quality standards (NAAQS). As such, it is the pollutant on which the Air Quality Index (AQI) is most often based. PM2.5 and PM10 are the only criteria pollutant whose composition, and therefore toxicity varies. The PM2.5 AQI does not account for...
Author(s): Odelle Hadley, Anthony Cutler, Ruth Schumaker, Robin Bond
Year Published: 2021
Type: Document : Book or Chapter or Journal Article
Large areal fires, such as those ignited following a nuclear detonation, can inject smoke into the upper troposphere and lower stratosphere. Detailed fire simulations allow for assessment of how local weather interacts with these fires and affects smoke lofting. In this study, we employ the fire simulation package in the Weather...
Author(s): Stephanie Redfern, Julie Lundquist, Owen B. Toon, Domingo Muñoz-Esparza, Charles G. Bardeen
Year Published: 2021
Type: Document : Book or Chapter or Journal Article
Traditional fire smoke detection methods mostly rely on manual algorithm extraction and sensor detection; however, these methods are slow and expensive to achieve discrimination. We proposed an improved convolutional neural network (CNN) to achieve fast analysis. The improved CNN can be used to liberate manpower. The network does...
Author(s): Xiaofang Sun, Liping Sun, Yinglai Huang
Year Published: 2021
Type: Document : Book or Chapter or Journal Article
Pioneering networks of cameras that can search for wildland fire signatures have been in development for some years (High Performance Wireless Research & Education Network-HPWREN cameras and the ALERT Wildfire camera). While these cameras have proven their worth in monitoring fires reported by other means, we have developed a...
Author(s): Kinshuk Govil, Morgan L. Welch, Timothy Ball, Carlton R. Pennypacker
Year Published: 2020
Type: Document : Book or Chapter or Journal Article
Seasonal peaks of air pollution from wildfires are increasing in frequency and severity in the western provinces of Canada. During these episodes, populations are exposed to adverse short-term health effects due to elevated levels of fine particulate matter, which is the primary pollutant associated with smoke. The spatial...
Author(s): Mojgan Mirzaei, Stefania Bertazzon, Isabelle Couloigner, Babak Farjad, Roland Ngom
Year Published: 2020
Type: Document : Book or Chapter or Journal Article
A new statistical model for predicting daily ground level fine scale particulate matter (PM2.5) concentrations at monitoring sites in the western United States was developed and tested operationally during the 2016 and 2017 wildfire seasons. The model is site-specific, using a multiple linear regression schema that relies on the...
Author(s): Amy Marsha, Narasimhan K. Larkin
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).