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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 The database provides a listing of fire research publications relevant to Alaska and a venue for sharing unpublished agency reports and works in progress that are not normally found in the published literature.

Displaying 1 - 25 of 64

Episode 3 of the Fire Danger Learning System describes the dataflow of weather data into the various databases and processors that provide fire danger calculations for the US National Fire Danger Rating System.
Year: 2016
Type: Media
Source: FRAMES

Barrett, Loboda, McGuire, Genet, Hoy, Kasischke
Wildfire, a dominant disturbance in boreal forests, is highly variable in occurrence and behavior at multiple spatiotemporal scales. New data sets provide more detailed spatial and temporal observations of active fires and the post-burn environment in Alaska. In this study, we…
Year: 2016
Type: Document
Source: TTRS

Hayasaka, Tanaka, Bieniek
Recent concurrent widespread fires in Alaska are evaluated to assess their associated synoptic-scale weather conditions. Several periods of high fire activity from 2003 to 2015 were identified using Moderate Resolution Imaging Spectroradiometer (MODIS) hotspot data by…
Year: 2016
Type: Document
Source: TTRS

Staver, Levin
The role of fire and climate in determining savanna and forest distributions requires comprehensive theoretical reevaluation. Empirical studies show that climate constrains maximum tree cover and that fire feedbacks can reduce tree cover substantially, but neither the stability…
Year: 2012
Type: Document
Source: TTRS

Staller
From the text ... '..., in today's world with imcreasing populations, and more people living in the wildland urban interface, prescribed burn practitioners must put more emphasis on smoke management. If we don't manage our smoke and the resulting negative impacts, then the…
Year: 2012
Type: Document
Source: TTRS

Alexander, Cruz
This state-of-knowledge review examines some of the underlying assumptions and limitations associated with the inter-relationships among four widely used descriptors of surface fire behaviour and post-fire impacts in wildland fire science and management, namely Byram's fireline…
Year: 2012
Type: Document
Source: FRAMES, TTRS

Ryan, Koerner
From the Conclusions ... 'Fires have impacted cultures for millennia and fire will continue to impact contemporary cultures as well as the remnants of past cultures. The challenge is to manage vagetation/fuels to minimize damage to contemporary cultures as well as the cultural…
Year: 2012
Type: Document
Source: TTRS

Vaillant, Alexander, Cruz, Peterson
What is this project about? The Joint Fire Science Program is supporting a project aimed at synthesizing the currently available information on crown fire behavior in conifer forests: onset of crowning; type of crown fire; associated spread rate and firelineintensity; other…
Year: 2012
Type: Document
Source: FRAMES

A pictorial poster showing many cloud formations and what these clouds mean in regards to fire weather and fire behavior.
Year: 2016
Type: Document
Source: FRAMES

Stratton
Fire growth models in WFDSS worksheet with answers from the 2012 Fire Modeling Workshop
Year: 2012
Type: Document
Source: FRAMES

Stratton
Geospatial fire modeling considerations in Alaska handout from the 2012 Fire Modeling Workshop
Year: 2012
Type: Document
Source: FRAMES

Ziel, Kurth, Saperstein
Webinar with Robert (Zeke) Ziel, Laurie Kurth, and Lisa Saperstein. Organized by the Fire Modeling and Analysis Committee. Recorded on May 24, 2016. Robert (Zeke) Ziel: Using FFMC and DMC to assess fuel moisture and use of BUI to help adjust ERC values Laurie Kurth: Some…
Year: 2016
Type: Media
Source: FRAMES

Alden, Strader, Ziel
Alaska Interagency Fall Fire Review | Wedresday, October 12, 2016Presenter: Heidi Strader and Robert Ziel, with input from Sharon Alden
Year: 2016
Type: Media
Source: FRAMES

Saltenberger
Alaska Fire Science Consortium Workshop | Thursday, October 13, 2016Presenter: John Saltenberger
Year: 2016
Type: Media
Source: FRAMES

The Wildland Fire Library is a collection of long-term assessments, fire progressions, fire behavior reports, and other documents and resources to support fire modeling and assessment of long-duration fires. Each file is tied to some event with a location, a start date, and…
Year: 2016
Type: Website
Source: FRAMES

Steufer
The WFR-Chem model can produce valuable smoke emissions and fire spread information along with up to a 72 hour smoke forecast. This model can be used by fire and resouce managers, city and borough personnel and others. Feedback is needed for improved graphics and output.
Year: 2012
Type: Media
Source: FRAMES

Fire simulation models that consider the complex dynamics of weather, fuels, and terrain are essential to forecasting fire behavior. A growing number of such models are available, so understanding the differences in their predictions and sensitivity to drivers of fire behavior…
Year: 2012
Type: Document
Source: FRAMES

Arnold
Weather analysis plays a significant and enduring role in wildland fire management. The long-term weather data gathered by the permanent interagency remote automatic weather stations (RAWS) network provides the baseline for almost all preparedness planning and supports all…
Year: 2012
Type: Document
Source: FRAMES

Semmens, Ramage
High latitude drainage basins are experiencing increases in temperature higher than the global average, with snowmelt dominated basins most sensitive to effects in winter because of the snowpack's integration of these changes over the season. This may influence the timing of…
Year: 2012
Type: Document
Source: FRAMES

Farukh, Hayasaka
Severe lightning flashes, 120,000 a year or four times more than in the average year, started around 300 fires in each of the three years of 2004, 2005, and 2007 but the burnt area of each year differed considerably. The burnt areas in 2004 and 2005 were the largest and the…
Year: 2012
Type: Document
Source: FRAMES

Linn, Anderson, Winterkamp, Brooks, Wotton, Dupuy, Pimont, Edminster
Field experiments are one way to develop or validate wildland fire-behavior models. It is important to consider the implications of assumptions relating to the locality of measurements with respect to the fire, the temporal frequency of the measured data, and the changes to…
Year: 2012
Type: Document
Source: FRAMES

FSPro (Fire Spread Probability) is a fire modeling system that calculates the probability of fire spread from a fire perimeter or ignition point for a specified time period. Combining landscape data layers (crown base height, crown bulk density, etc.), current weather forecasts…
Year: 2012
Type: Document
Source: FRAMES

Waddington, Thompson, Wotton, Quinton, Flannigan, Benscoter, Baisley, Turetsky
The Duff Moisture Code (DMC) and Drought Code (DC) components of the Canadian Forest Fire Weather Index (FWI) System are used by fire managers to assess the vulnerability of organic soils to ignition and depth of burn despite being developed for upland soils. Given the need to…
Year: 2012
Type: Document
Source: FRAMES, TTRS

Potter
This paper is the second of two reviewing scientific literature from 100 years of research addressing interactions between the atmosphere and fire behaviour. These papers consider research on the interactions between the fuels burning at any instant and the atmosphere, and the…
Year: 2012
Type: Document
Source: FRAMES, TTRS

Potter
This paper is the first of two reviewing scientific literature from 100 years of research addressing interactions between the atmosphere and fire behaviour. These papers consider research on the interactions between the fuels burning at any instant and the atmosphere, and the…
Year: 2012
Type: Document
Source: FRAMES, TTRS