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 The database provides a listing of fire research publications relevant to Alaska and a venue for sharing unpublished agency reports and works in progress that are not normally found in the published literature.
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Topic
Year
Displaying 26 - 31 of 31
Clark
WindNinja, a tool developed by RMRS scientists, delivers high-resolution wind predictions within seconds for emergency fire responders making on-the-ground decisions. The program computes spatially-varying wind fields to help predict winds at small scales in complex terrain.…
Year: 2021
Type: Document
Source: FRAMES
Dillon
Greg Dillon of the USDA Forest Service's Fire Modeling Institute (FMI) gives an overview of the work FMI does in wildland fire.
Webinar hosted by National Weather Service IMET.
Year: 2021
Type: Media
Source: FRAMES
Chen, Romps, Seeley, Veraverbeke, Riley, Mekonnen, Randerson
Lightning is an indicator and a driver of climate change. Here, using satellite observations of lightning flash rate and ERA5 reanalysis, we find that the spatial pattern of summer lightning over northern circumpolar regions exhibits a strong positive relationship with the…
Year: 2021
Type: Document
Source: FRAMES
Portante, Qiu, Kuiper, Hyde, Gayle, Bynum, Teyber
The National Laboratories showcase their wildfire mitigation capabilities and technologies in this Wildfire Mitigation Webinar Series. Whether it’s a fire created by utility equipment or an oncoming fire that is threatening a utility company’s equipment, the National…
Year: 2021
Type: Media
Source: FRAMES
Valero, Jofre, Torres
Wildfire behavior predictions typically suffer from significant uncertainty. However, wildfire modeling uncertainties remain largely unquantified in the literature, mainly due to computing constraints. New multifidelity techniques provide a promising opportunity to overcome…
Year: 2021
Type: Document
Source: FRAMES
Provides access to the data used in the GWIS applications. Data from the Current Situation Viewer are provided from the WMS (Web Map Service).
Year: 2021
Type: Tool
Source: FRAMES