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 The database provides a listing of fire research publications relevant to Alaska and a venue for sharing unpublished agency reports and works in progress that are not normally found in the published literature.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 101 - 125 of 166
That risk from wildfire continues to grow across the United States is not a new problem. Managing forest fuels in the real world-such as thinning and burning prescriptively-to reduce fuel loads have been used effectively to reduce the risk of severe wildfire. These actions have…
Year: 2009
Type: Document
Source: FRAMES
In this document, you'll learn the following: First, we'll discuss what biophysical settings (BpS) and the associated LANDFIRE BpS models are. Second, you'll learn how you can use the BpS models and associated descriptions. After that, we'll go over some background information…
Year: 2009
Type: Document
Source: FRAMES
O'Neill, Larkin, Hoadley, Mills, Vaughan, Draxler, Rolph, Ruminski, Ferguson
Several real-time smoke prediction systems have been developed worldwide to help land managers, farmers, and air quality regulators balance land management needs against smoke impacts. Profiled here are four systems that are currently operational for regional domains for North…
Year: 2009
Type: Document
Source: FRAMES
Larkin, Solomon, Strand, Krull, Rorig
The BlueSky smoke modeling framework, developed with support from the National Fire Plan and recently reworked through a grant from NASA, is used to enable a variety of real-time predictions of surface smoke concentrations from prescribed fires, wildfires, and agricultural burns…
Year: 2009
Type: Document
Source: FRAMES
Larkin, Raffuse, Pryden, Healy, Unger, Strand, Solomon
This project addresses the need for a collaborative architecture for scientific modeling that allows various scientific models to easily interact. The need for such a system has been documented by recent studies such as the JFSP Smoke Roundtables and the JFSP review of tools…
Year: 2009
Type: Document
Source: FRAMES
Larkin, Solomon, Strand, Raffuse, Pollard, Potter
Fire and fuel managers often need to know how much fuel a fire will consume, and how much smoke the fire will produce. Many factors influence the ultimate smoke impacts, and a variety of fuel models and consumption models have been developed to help provide useful answers.…
Year: 2009
Type: Document
Source: FRAMES
Stratton
The purpose of this paper is to document how to make changes to the Alaska 2009 fuels layer to account for recent fires. A similar process can be followed next year to modify the LANDFIRE National '2010' LCP using the 2009 final fire perimeters as well as the masks described…
Year: 2009
Type: Document
Source: FRAMES
Stratton
The purpose of this paper is to document the calibration process on the Shanta Creek Fire (#348) so that future analysts can benefit from this procedure and findings.
Year: 2009
Type: Document
Source: FRAMES
Stratton
The purpose of this paper is to document the calibration process on the Zitziana Fire (#284) so that future analysts can benefit from this procedure and findings.
Year: 2009
Type: Document
Source: FRAMES
Miller
FSPro uses the Energy Release Component (ERC) for fuel model G to derive fire weather percentiles which are used to bin fuel moisture and other inputs to the model. ERC is part of the National Fire Danger Rating System (NFDRS) which is used in the lower 48 states but does not…
Year: 2009
Type: Document
Source: FRAMES
Kurth
The 2009 fire season in Alaska was characterized by numerous fires in the coastal and interior areas, very dry conditions, and an extended period without rain beyond the normal fire season. This afforded the opportunity to model fire behavior using the recently developed/updated…
Year: 2009
Type: Document
Source: FRAMES
Varner, Keyes
Fire behavior and fire effects models are arguably among the most important tools in fire and fuels management. Given the power, accessibility, and utility of these models, fuels planners and scientists commonly use them to compare potential fire intensity and severity on…
Year: 2009
Type: Document
Source: FRAMES, TTRS
Chuah, Kuwana, Saito
We conducted a series of laboratory-scale fire whirl experiments spinning 5-cm-diameter methanol pool fires and observed elongated flame height compared with the pool fire without spin. A simple scaling analysis was conducted to obtain dependency of the axial flame height on the…
Year: 2009
Type: Document
Source: FRAMES
Cheung, Yeoh
A numerical study simulating the temporal vortical structures of a large-scale buoyant pool fire has been carried out using a fully-coupled Large Eddy Simulation (LES) model which incorporates all essential subgrid scale (SGS) turbulence, combustion, radiation and soot chemistry…
Year: 2009
Type: Document
Source: FRAMES
McKenzie, Raymond, Cushman
The understory is an oft-neglected element in landscape modeling. Most landscape models focus on the dominant vegetation and how it responds over successional time to climate, competitive interactions, and disturbance (Keane et at. 2004, Cary et al. 2006). Even forest stand-…
Year: 2009
Type: Document
Source: FRAMES
Alexander
Marty Alexander presents a speech for the MITACS/GEOIDE Conference on Forest Fire Modelling, June 22-23, 2009, in Hinton, AB. The main topics discussed in this powerpoint include extreme fire behavior, wildland-urban interface disasters, wildland fire behavior research, spot…
Year: 2009
Type: Document
Source: FRAMES
MacGregor, González-Cabán
This paper reports on methods for representing and modeling fire incidents based on concepts and models from the decision and risk sciences. A set of modeling techniques are used to characterize key fire management decision processes and provide a basis for incident analysis.…
Year: 2009
Type: Document
Source: FRAMES
Sturtevant, Scheller, Miranda, Shinneman, Syphard
Fire regimes result from reciprocal interactions between vegetation and fire that may be further affected by other disturbances, including climate, landform, and terrain. In this paper, we describe fire and fuel extensions for the forest landscape simulation model, LANDIS-II,…
Year: 2009
Type: Document
Source: FRAMES
Kiefer, Parker, Charney
Wildfires are capable of inducing atmospheric circulations that result predominantly from large temperature anomalies produced by the fire. The fundamental dynamics through which a forest fire and the atmosphere interact to yield different convective regimes is still not well…
Year: 2009
Type: Document
Source: FRAMES
Hu, Ntaimo
Wildfire containment is an important but challenging task. The ability to predict fire spread behavior, optimize a plan for firefighting resource dispatch and evaluate such a plan using several firefighting tactics is essential for supporting decision making for containing…
Year: 2009
Type: Document
Source: FRAMES
Rollins
LANDFIRE is a 5-year, multipartner project producing consistent and comprehensive maps and data describing vegetation, wildland fuel, fire regimes and ecological departure from historical conditions across the United States. It is a shared project between the wildland fire…
Year: 2009
Type: Document
Source: FRAMES
Reeves, Ryan, Rollins, Thompson
The Landscape Fire and Resource Management Planning Tools (LANDFIRE) Project is mapping wildland fuels, vegetation, and fire regime characteristics across the United States. The LANDFIRE project is unique because of its national scope, creating an integrated product suite at 30-…
Year: 2009
Type: Document
Source: FRAMES
The Joint Fire Science Program, the National Wildfire Coordinating Group Fuels Management Committee, and Sonoma Technology, Inc. are unveiling the prototype of a new planning environment that will help fuels specialists negotiate the confusing array of planning tools. The new…
Year: 2009
Type: Document
Source: FRAMES
Andrews
This publication has been revised to reflect updates to version 4.0 of the BehavePlus software. It was originally published as the BehavePlus fire modeling system, version 4.0: Variables in July, 2008. The BehavePlus fire modeling system is a computer program based on…
Year: 2009
Type: Document
Source: FRAMES
Rupp, Mann, Murphy
Our research goal is to provide a scale-integrative planning and monitoring tool for wildland fuels and fire management that is specifically tailored to Alaska's ecological conditions and that addresses particular threats (notably climate change) to its natural fire regimes. To…
Year: 2009
Type: Document
Source: FRAMES