Alaska Reference Database

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 The database provides a listing of fire research publications relevant to Alaska and a venue for sharing unpublished agency reports and works in progress that are not normally found in the published literature.

 

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Displaying 1 - 10 of 35

Atmospheric forcing and interactions between the fire and atmosphere are primary drivers of wildland fire behavior. The atmosphere is known to be a chaotic system that, although deterministic, is very sensitive to small perturbations to initial...

Person: Jonko, Yedinak, Conley, Linn
Year: 2021
Resource Group: Document
Source: FRAMES

Recent advances in wildland fire behavior models (e.g. FIRETEC) utilizing high spatial and temporal resolution fluid dynamics calculations have facilitated complex modeling of fire-atmospheric feedbacks. Unfortunately this fire modeling approach...

Person: Linn, Goodrick, Hiers
Year: 2020
Resource Group: Media
Source: FRAMES

A simple, easy-to-evaluate, surrogate model was developed for predicting the particle emission source term in wildfire simulations. In creating this model, we conceptualized wildfire as a series of flamelets, and using this concept of flamelets, we...

Person: Josephson, Holland, Brambilla, Brown, Linn
Year: 2020
Resource Group: Document
Source: FRAMES

Coupled fire-atmospheric modeling tools are increasingly used to understand the complex and dynamic behavior of wildland fires. Multiple research tools linking combustion to fluid flow use Navier-Stokes numerical solutions coupled to a thermodynamic...

Person: Linn, Goodrick, Brambilla, Brown, Middleton, O'Brien, Hiers
Year: 2020
Resource Group: Document
Source: FRAMES

There is an urgent need for next-generation smoke research and forecasting (SRF) systems to meet the challenges of the growing air quality, health and safety concerns associated with wildland fire emissions. This review paper presents simulations and...

Person: Liu, Kochanski, Baker, Mell, Linn, Paugam, Mandel, Fournier, Jenkins, Goodrick, Achtemeier, Zhao, Ottmar, French, Larkin, Brown, Hudak, Dickinson, Potter, Clements, Urbanski, Prichard, Watts, McNamara
Year: 2019
Resource Group: Document
Source: FRAMES

Current fire spread models are inadequate for predicting the complex infuences of atmosphere, forest structure, and self-generating fire processes on wildland fire behavior. FIRETEC is a physics-based, three-dimensional computer code developed at Los...

Person: Furman, Linn
Year: 2018
Resource Group: Document
Source: FRAMES

As scientists and managers seek to understand fire behavior in conditions that extend beyond the limits of our current empirical models and prior experiences, they will need new tools that foster a more mechanistic understanding of the processes...

Person: Hoffman, Sieg, Linn, Mell, Parsons, Ziegler, Hiers
Year: 2018
Resource Group: Document
Source: FRAMES

Scientists and managers critically need ways to assess how fuel treatments alter fire behavior, yet few tools currently exist for this purpose. We present a spatially-explicit-fuel-modeling system, FuelManager, which models fuels, vegetation growth,...

Person: Pimont, Parsons, Rigolot, deColigny, Dupuy, Dreyfus, Linn
Year: 2016
Resource Group: Document
Source: TTRS

This study was conducted to increase understanding of possible roles and importance of local three-dimensionality in the forward spread of wildfire models. A suite of simulations was performed using a coupled atmosphere-fire model, HIGRAD/FIRETEC,...

Person: Linn, Canfield, Cunningham, Edminster, Dupuy, Pimont
Year: 2012
Resource Group: Document
Source: TTRS

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...

Person: Linn, Anderson, Winterkamp, Brooks, Wotton, Dupuy, Pimont, Edminster
Year: 2012
Resource Group: Document
Source: TTRS