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 The database provides a listing of fire research publications relevant to Alaska and a venue for sharing unpublished agency reports and works in progress that are not normally found in the published literature.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 244
Hatch, Yokelson, Stockwell, Veres, Simpson, Blake, Orlando, Barsanti
Multiple trace-gas instruments were deployed during the fourth Fire Lab at Missoula Experiment (FLAME-4), including the first application of proton-transfer-reaction time-of-flight mass spectrometry (PTR-TOFMS) and comprehensive two-dimensional gas chromatography-time-of-flight…
Year: 2017
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
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
Peterson, Davis, Eckhause, Pouy, Sigalas-Markham, Volovo
From the text ... 'By carefully integrating modeling and simulation into their decision-making, managers can better size equipment capabilities, fine-tune complex resource decisions (across any planning time horizon), and maximize the usefulness and effectiveness of emerging…
Year: 2015
Type: Document
Source: TTRS
Val Martin, Pierce, Heald
From the text ... 'Smoke can be transported hundreds of miles downwind by prevailing winds or convective winds generated by fires themselves with concentrations sufficient to make it the most significant source of air pollution over large areas.'
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
Katurji, Nikolic, Zhong, Pratt, Yu, Heilman
We have demonstrated the use of an advanced Gaussian-Process (GP) emulator to estimate wildland fire emissions over a wide range of fuel and atmospheric conditions. The Fire Emission Production Simulator, or FEPS, is used to produce an initial set of emissions data that…
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
Bachelet, Ferschweiler, Sheehan, Sleeter, Zhu
The dynamic global vegetation model (DGVM) MC2 was run over the conterminous USA at 30 arc sec (~800 m) to simulate the impacts of nine climate futures generated by 3GCMs (CSIRO, MIROC and CGCM3) using 3 emission scenarios (A2, A1B and B1) in the context of the LandCarbon…
Year: 2015
Type: Document
Source: 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
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
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
Larkin, Hipp, Kattge, Prescott, Tonietto, Jacobi, Bowles
1. Phylogenies are increasingly incorporated into ecological studies on the basis that evolutionary relatedness broadly correlates with trait similarity. However, phylogenetic approaches have rarely been applied to monitoring long-term community change or guiding management. 2.…
Year: 2015
Type: Document
Source: TTRS
Ziel
This guide offers recommendations for using Canadian Forest Fire Danger Rating System (CFFDRS) fuel moisture codes and fire behavior indices from the Fire Weather Index (FWI) system to provide objective guidance for initial settings for many analysis inputs to WFDSS and IFTDSS.…
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
Thompson, Calkin, Scott, Hand
Wildfire risk assessment is increasingly being adopted to support federal wildfire management decisions in the United States. Existing decision support systems, specifically the Wildland Fire Decision Support System (WFDSS), provide a rich set of probabilistic and risk‐based…
Year: 2017
Type: Document
Source: FRAMES
Voulgarakis, Field
Fires impact atmospheric composition through their emissions, which range from long-lived gases to short-lived gases and aerosols. Effects are typically larger in the tropics and boreal regions but can also be substantial in highly populated areas in the northern mid-latitudes.…
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