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The Global Wildfire Information System is a joint initiative of the GEO and the Copernicus Work Programs. In the new GEO GWIS work program for the years 2020-2022 , the Global Wildfire Information System (GWIS) aims at bringing together existing information sources at regional…
Person:
Year:
Type: Project
Source: FRAMES
Topic(s): Emissions and Smoke, Fire Behavior, Fire Effects, Fire Occurrence, Hazard and Risk, Intelligence, Mapping, Models, Monitoring and Inventory, Weather
Region(s): Alaska, California, Eastern, Great Basin, Hawaii, Northern Rockies, Northwest, Rocky Mountain, Southern, Southwest, International, National
Keywords: GWIS - Global Wildfire Information System, datasets, fire regimes, EFFIS - European Forest Fire Information System, fire danger forecasts, burnt area, fire size distribution, remote sensing, lightning, active fires, FWI - Canadian Forest Fire Weather Index System

The primary objective of this work is to assess the local, regional, and national risks to air quality and visibility from wildland fire. This will be done by generating and analyzing statistics of daily and nightly variability of surface wind, mixing height, and dispersion…
Person:
Year: 2003
Type: Project
Source: FRAMES
Topic(s): Emissions and Smoke, Fire Effects, Hazard and Risk, Mapping, Models
Region(s): Alaska, California, Eastern, Great Basin, Hawaii, Northern Rockies, Northwest, Rocky Mountain, Southern, Southwest, National
Keywords: air quality, visibility, dispersion

Fuel loadings, from canopy to litter and duff, are key variables for informing wildland fire emissions inventories. At regional to national scales, fuel loadings and their spatial patterns vary in both space and time, but current geospatial fuel datasets do not account for this…
Person:
Year:
Type: Project
Source: FRAMES
Topic(s): Emissions and Smoke, Fuels, Mapping, Models
Region(s): Alaska, California, Eastern, Great Basin, Hawaii, Northern Rockies, Northwest, Rocky Mountain, Southern, Southwest, National
Keywords: fuel loading, FCCS fuelbeds

The assumption of homogeneous fuel beds that underlies most fire spread models fundamentally limits their operational utility and future advancements in fire science, and imposes a significant disconnect between real fuels, which are highly heterogeneous, the inferences made…
Person:
Year: 2017
Type: Project
Source: FRAMES
Topic(s): Emissions and Smoke, Fire Behavior, Fire Effects, Fuels, Mapping, Models, Prescribed Fire, Weather
Region(s): Alaska, California, Eastern, Great Basin, Hawaii, Northern Rockies, Northwest, Rocky Mountain, Southern, Southwest, National
Keywords: FASMEE - Fire and Smoke Model Evaluation Experiment, physics-based fire model , heterogeneous fuels , remote sensing, vegetation structure, fuel structure

Fire and fuel managers often need to know how much fuel will be consumed by a fire, and how much smoke the fire will produce. A variety of fuel loading maps and fuel consumption models have been developed to produce these and other estimates. Many factors influence the end…
Person:
Year: 2009
Type: Project
Source: FRAMES
Topic(s): Emissions and Smoke, Fuels, Mapping, Models
Region(s): Alaska, California, Eastern, Great Basin, Hawaii, Northern Rockies, Northwest, Rocky Mountain, Southern, Southwest, National
Keywords: fuel loading, fuel consumption modeling, model comparison

The Fuel Characteristic Classification System (FCCS) is a tool that enables land managers, regulators, and scientists to create and catalog fuelbeds and to classify those fuelbeds for their capacity to support fire and consume fuels. The fuelbed characteristics and fire…
Person:
Year:
Type: Project
Source: FRAMES
Topic(s): Emissions and Smoke, Fire Behavior, Fire Effects, Fuels, Hazard and Risk, Mapping, Models, Planning
Region(s): Alaska, California, Eastern, Great Basin, Hawaii, Northern Rockies, Northwest, Rocky Mountain, Southern, Southwest, National
Keywords: fire management, fire modeling, FCCS - Fuel Characteristic Classification System, fuel models, FCCS fuelbeds, fuel characteristics, fuel classification, fuelbed, potential fire behavior

FIREHouse provides user-friendly, web-based information about fire science and technology relevant to Washington, Oregon, Idaho and Alaska. For each project posted, the goal is to provide, as applicable, online, searchable access to: (1) project and tool descriptions, contact…
Person:
Year:
Type: Project
Source: FRAMES
Topic(s): Climate, Communications, Economics, Emissions and Smoke, Fire Behavior, Fire Ecology, Fire Effects, Fire History, Fire Occurrence, Fire Prevention, Fuels, Hazard and Risk, Mapping, Models, Monitoring and Inventory, Outreach, Planning, Prescribed Fire, Regulations and Legislation, Restoration and Rehabilitation, Safety, Social Science, Weather
Region(s): Alaska, Northwest
Keywords: metadata, fire research, reference database, publications, fire research plot map, clearinghouse, FIREHouse - The Northwest and Alaska Fire Research Clearinghouse, Alaska Fire Effects Reference Database, Alaska Fire and Fuels Research Map

The Florida Division of Forestry Fire Protection Bureau has developed one of the most integrated and innovative fire suppression programs in the Country. This project will link to those tools developed by the DOF.
Person:
Year:
Type: Project
Source: FRAMES
Topic(s): Administration, Emissions and Smoke, Fire Occurrence, Hazard and Risk, Mapping, Prescribed Fire, Weather
Region(s): Southern
Keywords: fire suppression, Florida, fire management, firefighting

Current fire danger and fire behavior prediction focuses on the flaming stage of combustion, while fire effects and resistance to control are governed by smoldering and residual combustion in heavy fuels and organic soil layers. Fuel combustion algorithms in current use are…
Person:
Year:
Type: Project
Source: FRAMES
Topic(s): Emissions and Smoke, Fire Behavior, Fire Effects, Fuels, Mapping, Models, Monitoring and Inventory, Planning, Prescribed Fire, Weather
Region(s): Alaska, California, Eastern, Great Basin, Hawaii, Northern Rockies, Northwest, Rocky Mountain, Southern, Southwest, National
Keywords: duff consumption, fuel moisture, piled fuels, prescribed burning, woody fuel consumption, Consume 3.0, Consume 1.0, Consume 2.1