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 The database provides a listing of fire research publications relevant to Alaska and a venue for sharing unpublished agency reports and works in progress that are not normally found in the published literature.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 94
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
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
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
Kintisch
Scientists and firefighters ponder new ways to predict the spread of wildfire as the U.S. West faces ever more potent blazes.
Year: 2013
Type: Document
Source: TTRS
Butler, Ottmar, Rupp, Jandt, Miller, Howard, Schmoll, Theisen, Vihnanek, Jimenez
Mechanical (e.g., shearblading) and manual (e.g., thinning) fuel treatments have become the preferred strategy of many fire managers and agencies for reducing fire hazard in boreal forests. This study attempts to characterize the effectiveness of four fuel treatments through…
Year: 2013
Type: Document
Source: TTRS
Adams
Global evidence posits that we are on the cusp of fire-driven 'tipping points' in some of the world's most important woody biomes including savannah woodlands, temperate forests, and boreal forests, with consequences of major changes in species dominance and vegetation type. The…
Year: 2013
Type: Document
Source: TTRS
Alexander, Vaillant, Cruz
This workshop was held in conjunction with the 4th Fire Behavior and Fuels Conference, 18-22 February 2013, Raleigh, NC. The goal of this workshop was to provide participants with a summary of the results emanating from the Joint Fire Science Program sponsored project "Crown…
Year: 2013
Type: Media
Source: FRAMES
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
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
These tables calculate Dew Point and Relative Humidity based on the observed wet bulb and dry bulb temperatures and the elevation at the site of the observation.
Year: 2017
Type: Document
Source: FRAMES
McFayden
WeatherSHIELD (Short & Intermediate Ensemble & Long-term Dynamic Scenarios - Prototype) presented by Colin McFayden.
Year: 2017
Type: Media
Source: FRAMES
Strader, Jandt, Jenkins, York, Ziel
Presented by Heidi Strader, Randi Jandt, Jenn Jenkins, Alison York and Robert Ziel. Optional webinar for AFSC remote sensing workshop presenters to introduce the Alaska fire management context. We will summarize the natural history of fire in the state, explain how fire…
Year: 2017
Type: Media
Source: FRAMES
Stevens
From the Spring 2017 AFSC Remote Sensing Workshop: Opportunities to Apply Remote Sensing in Boreal/Arctic Wildfire Management and Science.
Year: 2017
Type: Media
Source: FRAMES
Seaman
From the Spring 2017 AFSC Remote Sensing Workshop: Opportunities to Apply Remote Sensing in Boreal/Arctic Wildfire Management and Science.
Year: 2017
Type: Media
Source: FRAMES
McCorkle
From the Spring 2017 AFSC Remote Sensing Workshop: Opportunities to Apply Remote Sensing in Boreal/Arctic Wildfire Management and Science.
Year: 2017
Type: Media
Source: FRAMES
Huffman
From the Spring 2017 AFSC Remote Sensing Workshop: Opportunities to Apply Remote Sensing in Boreal/Arctic Wildfire Management and Science.
Year: 2017
Type: Media
Source: FRAMES
Stevens
From the Spring 2017 AFSC Remote Sensing Workshop: Opportunities to Apply Remote Sensing in Boreal/Arctic Wildfire Management and Science.
Year: 2017
Type: Media
Source: FRAMES
Jenkins, Jandt, Ziel
From the Spring 2017 AFSC Remote Sensing Workshop: Opportunities to Apply Remote Sensing in Boreal/Arctic Wildfire Management and Science.
Year: 2017
Type: Media
Source: FRAMES
Bourgeau-Chavez
From the Spring 2017 AFSC Remote Sensing Workshop: Opportunities to Apply Remote Sensing in Boreal/Arctic Wildfire Management and Science.
Year: 2017
Type: Media
Source: FRAMES
A diversity of partners and interests, federal to private, came together to identify current challenges and research in the wildland fire and air quality impacts realm. Meeting management needs and the opportunity to learn from one another’s expert perspectives were primary…
Year: 2017
Type: Document
Source: FRAMES
The following list of fire research topics and questions were generated by the agencies and organizations within AWFCG during 2016 Fall Fire Review and through other solicitations. The topics were initially ranked by the AWFCG Fire Research, Development and Application Committee…
Year: 2017
Type: Document
Source: FRAMES
Peterson, Hyer, Wang
A statistical model, based on numerical weather prediction (NWP), is developed to predict the subsequent day's satellite observations of fire activity in the North American boreal forest during the fire season (24-h forecast). In conjunction with the six components of the…
Year: 2013
Type: Document
Source: FRAMES, TTRS
Lu, Sokolik
We investigate the influence of wildfire smoke aerosols on cloud microphysics and precipitation using a coupled aerosol-cloud microphysics-meteorology model WRF-Chem-SMOKE. The Wildfire Automated Biomass Burning Algorithm products are used to compute 'online' hourly size- and…
Year: 2013
Type: Document
Source: FRAMES