The Alaska Reference Database originated as the standalone Alaska Fire Effects Reference Database, a ProCite reference database maintained by former BLM-Alaska Fire Service Fire Ecologist Randi Jandt. It was expanded under a Joint Fire Science Program grant for the FIREHouse project (The Northwest and Alaska Fire Research Clearinghouse). It is now maintained by the Alaska Fire Science Consortium and FRAMES, and is hosted through the FRAMES Resource Catalog. The database provides a listing of fire research publications relevant to Alaska and a venue for sharing unpublished agency reports and works in progress that are not normally found in the published literature.
Type
Topic
Year
Displaying 1 - 25 of 227
Hessburg
We have all seen the news - hotter summers, and bigger, badder wildfires. What's going on? How did we get here? Paul tells a fast-paced story of western US forests - unintentionally yet massively changed by a century of management. He relates how these changes, coupled with a…
Year: 2017
Type: Media
Source: FRAMES
Alexander, Thorburn
As an acronym, LACES stands for Lookout(s) - Anchor point(s) - Communication(s) - Escape routes - Safety zone(s) and has gradually become a guideline for wildland firefighter safety in various regions of Canada over the past 15 years or so. LACES constitutes a slight…
Year: 2015
Type: Document
Source: FRAMES
Finney
Why is calibrating the fire behavior models important to predicting fire behavior - an interview with Mark Finney a Research Scientist at the RMRS Fire Sciences Lab. Mark highlight's considerations an analyst should make when validating fire behavior models to fire behavior.
Year: 2017
Type: Media
Source: FRAMES
Finney
Why use FSPro - an interview with Mark Finney - This tool was developed to help inform risk based decisions associated with values at risk and probability of fire impacts to those values.
Year: 2017
Type: Media
Source: FRAMES
Finney
What makes a good analyst - some thoughts from Mark Finney and his perspective of what makes a good analyst. An analyst is curious about fire behavior, they use judgement and interpretation to communicate and validate models in relation to the actual fire behavior.
Year: 2017
Type: Media
Source: FRAMES
Finney
Mark Finney provides some considerations when setting up FSPro analyses - What is it you want to know from the analysis - is it the likely hood something is going to happen or is it the potential something is going to happen? These are different questions and the analyst can…
Year: 2017
Type: Media
Source: FRAMES
Yedinak, Anderson, Apostol, Smith
Acoustic impulse events have long been used as diagnostics for discrete phenomena in the natural world, including the detection of meteor impacts and volcanic eruptions. Wildland fires display an array of such acoustic impulse events in the form of crackling noises. Exploratory…
Year: 2017
Type: Document
Source: FRAMES
Ottmar, Brown, French, Larkin
This document presents the study plan for the Fire and Smoke Model Evaluation Experiment (FASMEE). FASMEE is a large-scale interagency effort to (1) identify the critical measurements necessary to improve operational wildland fire and smoke prediction systems, (2) collect…
Year: 2017
Type: Document
Source: FRAMES
Heilman, Tang, Luo, Zhong, Winkler, Bian
From the text ... 'Researchers at Michigan State University and the Forest Services's Northern Research Station worked on a joint study to examine the possible effects of future global and regional climate change on the occurrence of fire-weather patterns often associated with…
Year: 2015
Type: Document
Source: TTRS
Liu, Hussaini, Okten
Rothermel's wildland surface fire spread model is widely used in North America. The model outputs depend on a number of input parameters, which can be broadly categorized as fuel model, fuel moisture, terrain, and wind parameters. Due to the inevitable presence of uncertainty in…
Year: 2015
Type: Document
Source: TTRS
Finney, Cohen, Forthofer, McAllister, Gollner, Gorham, Saito, Akafuah, Adam, English
Large wildfires of increasing frequency and severity threaten local populations and natural resources and contribute carbon emissions into the earth-climate system. Although wildfires have been researched and modeled for decades, no verifiable physical theory of spread is…
Year: 2015
Type: Document
Source: TTRS
Duff, Tolhurst
Wildfires are an inherent part of the landscape in many parts of the world; however, they often impose substantial economic burdens on human populations where they occur, both in terms of impacts and of management costs. As wildfires burn towards human assets, a universal…
Year: 2015
Type: Document
Source: FRAMES, TTRS
Liu, Jimenez, Hussaini, Okten, Goodrick
Rothermel's wildland surface fire model is a popular model used in wildland fire management. The original model has a large number of parameters, making uncertainty quantification challenging. In this paper, we use variance-based global sensitivity analysis to reduce the number…
Year: 2015
Type: Document
Source: FRAMES, TTRS
Fox, Whitesides
Spreading fires are noisy (and potentially chaotic) systems in which transitions in dynamics are notoriously difficult to predict. As flames move through spatially heterogeneous environments, sudden shifts in temperature, wind, or topography can generate combustion instabilities…
Year: 2015
Type: Document
Source: TTRS
Smurthwaite
From the text ... 'What does the future of rangelands and wildfire look like? The easy answer to the question is that rangelands will look different in the future and so will wildfire occurrence and behavior.'
Year: 2015
Type: Document
Source: TTRS
Gu
Data assimilation is a procedure to improve the state inference by assimilating the real-time observation data into dynamic systems, such as wildfire spread simulation. Various techniques are used for data assimilation, such as sequential Monte Carlo methods, also called…
Year: 2017
Type: Document
Source: FRAMES
Young, Higuera, Abatzoglou, Duffy, Hu
Statistical models using historical observations are a critical tool for anticipating future fire regimes. A key uncertainty with these models is the ability to project outside the range of historical observations, often done when making future projections. Here we investigate…
Year: 2017
Type: Document
Source: FRAMES
Lopes, Ribeiro, Viegas, Raposo
The present work addresses the problem of how wind should be taken into account in fire spread simulations. The study was based on the software system FireStation, which incorporates a surface fire spread model and a solver for the fluid flow (Navier-Stokes) equations. The…
Year: 2017
Type: Document
Source: TTRS
Gould, Sullivan, Hurley, Koul
Different methods can be used to measure the time and distance of travel of a fire and thus its speed. The selection of a particular method will depend on the experimental objectives, design, scale, location (in the laboratory or field), required accuracy and resources available…
Year: 2017
Type: Document
Source: TTRS
Campbell, Dennison, Butler
Escape routes are essential components of wildland firefighter safety, providing pre-defined pathways to a safety zone. Among the many factors that affect travel rates along an escape route, landscape conditions such as slope, low-lying vegetation density, and ground surface…
Year: 2017
Type: Document
Source: TTRS
Paci, Gelfand, Beamonte, Rodrígues, Pérez-Cabello
Recently, there has been increased interest in the behavior of wildfires. Behavior includes explaining: incidence of wildfires; recurrence times for wildfires; sizes, scars, and directions of wildfires; and recovery of burned regions after a wildfire. We study this last problem…
Year: 2017
Type: Document
Source: TTRS
Sakellariou, Tampekis, Samara, Sfougaris, Christopoulou
Forest ecosystems are our priceless natural resource and are a key component of the global carbon budget. Forest fires can be a hazard to the viability and sustainable management of forests with consequences for natural and cultural environments, economies, and the life quality…
Year: 2017
Type: Document
Source: FRAMES
Based primarily on the Canadian Forest Fire Danger Rating System (CFFDRS) component parts, the Fire Weather Index (FWI) System and the Fire Behavior Prediction (FBP) System, this document can be used to guide learning users through the fire behavior assessment process from the…
Year: 2015
Type: Document
Source: FRAMES
Ziel, Barnes, Stratton
"WFDSS Analyses: Getting Ready for the 2017 Season" webinar on May 17, 2017, organized by the Fire Modeling and Analysis Committee and presented by Rick Stratton, Jennifer Barnes, and Robert Ziel.
Year: 2017
Type: Media
Source: FRAMES
Jenkins, LaBarre
Alaska Fire Modeling and Analysis Committee Webinar: DOF and AFS GIS servers
Webinar by Dan LaBarre and Jennifer Jenkins
Year: 2017
Type: Media
Source: FRAMES