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 The database provides a listing of fire research publications relevant to Alaska and a venue for sharing unpublished agency reports and works in progress that are not normally found in the published literature.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 138
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
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
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
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
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
Duffy
Presentation by Paul Duffy at the 2017 Spring Fire Science Workshop.
Year: 2017
Type: Media
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
Jenkins, Butteri, Miller, Slaughter, Ellicott, Heinrichs, Waigl
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
Liu
Wildland fire is a natural phenomenon and influential force of the Earth’s climate system. During the past decades, increased large wildland fire activities, longer wildland fire durations, and longer wildfire seasons in the United States have received more and more attention…
Year: 2017
Type: Media
Source: FRAMES
James
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
Ziel, Bulock, Wattenbarger, Weddle, Thompson, Bourgeau-Chavez, Leblon
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
Miller
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
Whitman
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
Veraverbeke
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