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FOFEM - A First Order Fire Effects Model - is a computer program that was developed to meet needs of resource managers, planners, and analysts in predicting and planning for fire effects. Quantitative predictions of fire effects are needed for planning prescribed fires that best…
Person:
Year: 2016
Type: Document
Source: FRAMES
Topic(s): Emissions and Smoke, Fire Effects, Fuels, Models
Region(s): Alaska, California, Eastern, Great Basin, Hawaii, Northern Rockies, Northwest, Rocky Mountain, Southern, Southwest, National
Keywords: FOFEM - First Order Fire Effects Model, computer program, tree mortality, soil heating, fuel consumption, fuel load, duff, moisture regimes, fire intensity

Estimates of greenhouse gases and particulate emissions are made with a high spatiotemporal resolution from the Kilmore East fire in Victoria, Australia, which burnt approximately 100,000 ha over a 12 h period. Altogether, 10,175 Gigagrams (Gg) of CO2 equivalent (CO2‐e)…
Person:
Year: 2016
Type: Document
Source: FRAMES
Topic(s): Emissions and Smoke, Fire Effects, Models, Monitoring and Inventory
Region(s): International
Keywords: Australia, Black Saturday, algorithms, greenhouse gases, PM - particulate matter, particulate emissions, uncertainty analysis

Smoke plumes from fires contain atmospheric pollutants that can be transported to populated areas and effect regional air quality. In this paper, the characteristics and impact of the fire plumes from a major fire event that occurred in October 2013 (17-26) in the New South…
Person:
Year: 2016
Type: Document
Source: TTRS
Topic(s): Emissions and Smoke, Models, Hazard and Risk, Fire Effects, Fire Behavior
Region(s): International
Keywords: fire case histories, smoke effects, wildfires, Australia, New South Wales, air quality, pollution, fire management, forest management, smoke management, air quality, bushfires, Regional Model, Sydney Region, injection height, Ftir Spectrometer, emission factors, Transform Infrared-Spectroscopy, biomass burning emissions, trace gases, particulate matter, vegetation fires, pollution, wildfires, aerosols, forest

The savanna biome has the greatest burned area globally. Whereas the global distribution of most biomes can be predicted successfully from climatic variables, this is not so for savannas. Attempts to dynamically model the distribution of savannas, including a realistically…
Person:
Year: 2016
Type: Document
Source: TTRS
Topic(s): Climate, Emissions and Smoke, Fire Effects, Fire Occurrence, Models
Region(s): International
Keywords: wildfires, Africa, South Africa, distribution, grasses, national parks, precipitation, fire management, forest management, savannas, African Biome Distribution, Demographic Bottleneck Hypothesis, Dynamic Vegetation Models, LPJ-GUESS, Tree:Grass Ratio, wildfires, Global Vegetation Model, trace gas emissions, southern Africa, tropical forest, burned area, field data, ecosystems, cover, dynamics

Tropical peatland fires play a significant role in the context of global warming through emissions of substantial amounts of greenhouse gases. However, the state of knowledge on carbon loss from these fires is still poorly developed with few studies reporting the associated mass…
Person:
Year: 2016
Type: Document
Source: TTRS
Topic(s): Climate, Emissions and Smoke, Fire Effects, Fire History, Fire Occurrence, Intelligence, Models
Region(s): International
Keywords: fire frequency, wildfires, Asia, Indonesia, C - carbon, climate change, drainage, greenhouse gases, remote sensing, fire management, watershed management, peatlands, tropical regions, peat fires, carbon loss, climate change, fires, Indonesia, LiDAR - Light Detection and Ranging, remote sensing, tropical peatlands, land-cover change, Southeast Asia, peat fires, Indonesia, forest, soil, vegetation, Algorithm, severity

In this study, WRF-Sfire is coupled with WRF-Chem to construct WRFSC, an integrated forecast system for wildfire behaviour and smoke prediction. WRF-Sfire directly predicts wildfire spread, plume and plume-top heights, providing comprehensive meteorology and fire emissions to…
Person:
Year: 2016
Type: Document
Source: TTRS
Topic(s): Emissions and Smoke, Fire Behavior, Fuels, Models
Region(s): California
Keywords: fire case histories, fire danger rating, fuel moisture, wildfires, air quality, particulates, fire management, smoke management

This paper presents a quantitative assessment of adaptation options in the context of forest fires in Europe under projected climate change. A standalone fire model (SFM) based on a state-of-the-art large-scale forest fire modelling algorithm is used to explore fuel removal…
Person:
Year: 2016
Type: Document
Source: TTRS
Topic(s): Climate, Emissions and Smoke, Fire Prevention, Models
Region(s): International
Keywords: wildfires, Europe, climate change, fire management, forest management, forest fires, adaptation, climate change research, community land nodel, burned area, biomass, scenarios, dynamics

Person:
Year: 2016
Type: Document
Source: TTRS
Topic(s): Models, Logistics, Fire Occurrence, Intelligence, Emissions and Smoke
Region(s): International
Keywords: fire frequency, wildfires, Asia, India, remote sensing, fire management, forest management, vegetation, Algorithm, wildfire, tropics

During the dry season, from November to April, agricultural biomass burning and forest fires especially from March to late April in mainland Southeast Asian countries of Myanmar, Thailand, Laos and Vietnam frequently cause severe particulate pollution not only in the local areas…
Person:
Year: 2016
Type: Document
Source: TTRS
Topic(s): Emissions and Smoke, Models, Weather
Region(s): International
Keywords: biomass burning, wildfires, Asia, Laos, Thailand, Vietnam, Myanmar, aerosols, air quality, pollution, fire management, smoke management, biomass burning, Southeast Asia, MODIS Aerosol Optical Depth, CALIPSO Aerosol Types, WRF - Weather Research Forecast, Hybrid Single-Particle Lagrangian Integrated Trajectory (HYSPLIT)

See publishers web site for abstract. http://www.springeronline.com © Springer Science+Business Media New York 2015.
Person:
Year: 2016
Type: Document
Source: TTRS
Topic(s): Emissions and Smoke, Fire Behavior, Fire Effects, Fuels, Hazard and Risk, Models
Region(s): California
Keywords: fire hazard reduction, fire intensity, wildfires, Sierra Nevada, fire management, forest management, fuel management, coniferous forests, treatment optimization, burn probability, fuel treatments, mixed conifer, mixed-conifer forest, reduction treatments, western United States, Treatment Impacts, wildland fires, ponderosa pine, carbon stocks, spotted owl

Large-scale sea surface temperature (SST) patterns influence the interannual variability of burned area in many regions by means of climate controls on fuel continuity, amount, and moisture content. Some of the variability in burned area is predictable on seasonal timescales…
Person:
Year: 2016
Type: Document
Source: TTRS
Topic(s): Climate, Emissions and Smoke, Fire Occurrence, Models, Planning, Weather
Region(s): International
Keywords: biomass burning, fire size, wildfires, ENSO - El Nino Southern Oscillation, temperature, fire management, biomass burning, teleconnection, Seasonal Outlook, mitigation, biomass burning emissions, fire danger forecasts, interannual variability, Southeast Asia, El-Nino, Statistical-Model, wildfire activity, drought, severity

Formic acid (HCOOH) is one of the most abundant carboxylic acids and a dominant source of atmospheric acidity. Recent work indicates a major gap in the HCOOH budget, with atmospheric concentrations much larger than expected from known sources. Here, we employ recent space-based…
Person:
Year: 2016
Type: Document
Source: TTRS
Topic(s): Emissions and Smoke, Fire Effects, Models
Region(s): International
Keywords: biomass burning, fire frequency, Africa, fire management, forest management, tropical forests, Infrared-Spectroscopy Aftir, Gas-Phase Reactions, global distribution, acetic acid, isoprene emissions, CO - carbon monoxide, Vinyl Alcohol, Mexico City, trace gases

Two specific fires from 2011 are tracked for local to regional scale contribution to ozone (O3) and fine particulate matter (PM2.5) using a freely available regulatory modeling system that includes the BlueSky wildland fire emissions tool, Spare Matrix Operator Kernel Emissions…
Person:
Year: 2016
Type: Document
Source: TTRS
Topic(s): Emissions and Smoke, Fire Effects, Models, Prescribed Fire
Region(s): Alaska, California, Eastern, Great Basin, Hawaii, Northern Rockies, Northwest, Rocky Mountain, Southern, Southwest, National
Keywords: wildfires, Arizona, Kansas, aerosols, air quality, ozone, particulates, fire management, smoke management, wild fire, Photochemical Model, ozone, particulate matter

Background: In 2012, Colorado experienced one of its worst wildfire seasons of the past decade. The goal of this study was to investigate the relationship of local PM2.5 levels, modeled using the Weather Research and Forecasting Model with Chemistry, with emergency department…
Person:
Year: 2016
Type: Document
Source: TTRS
Topic(s): Emissions and Smoke, Fire Effects, Hazard and Risk, Models
Region(s): California, Rocky Mountain
Keywords: smoke effects, wildfires, Colorado, air quality, health factors, particulates, fire management, smoke management, wildfires, respiratory, cardiovascular, emergency department visits, PM2.5, particulate matter, fine particulate matter, Cardiorespiratory Hospital Admissions, southern California wildfires, oxidative stress, time-series, fire smoke, health, Australia

Due to concerns about adverse health effects associated with inhalation of atmospheric polycyclic aromatic hydrocarbons (PAHs), 30 ambient air samples were obtained at an air quality monitoring station in Palm Beach County, Florida, from March 2013 to March 2014. The ambient PAH…
Person:
Year: 2016
Type: Document
Source: TTRS
Topic(s): Emissions and Smoke, Hazard and Risk, Models
Region(s): Southern
Keywords: season of fire, wildfires, Florida, agriculture, air quality, hydrocarbons, pollution, fire management, biomass burning emissions, Mass-Balance Model, human health, sugarcane, Chicago, Impact, Fate, Area

A lack of independent, quality-assured data prevents scientists from effectively evaluating predictions and uncertainties in fire models used by land managers. This paper presents a summary of pre-fire and post-fire fuel, fuel moisture and surface cover fraction data that can be…
Person:
Year: 2016
Type: Document
Source: TTRS
Topic(s): Emissions and Smoke, Fire Behavior, Fire Effects, Fuels, Models, Prescribed Fire, Weather
Region(s): Southern
Keywords: fire size, fuel loading, fuel moisture, post fire recovery, surface fuels, Florida, Georgia, ash, char, cover, energy, herbaceous vegetation, litter, military lands, mineral soils, shrubs, fire management, forest management, land management, ash, fuel consumption, fuel loading, longleaf pine

The lack of independent, quality-assured field data prevents scientists from effectively evaluating and advancing wildland fire models. To rectify this, scientists and technicians convened in the southeastern United States in 2008, 2011 and 2012 to collect wildland fire data in…
Person:
Year: 2016
Type: Document
Source: TTRS
Topic(s): Aviation, Emissions and Smoke, Fire Behavior, Fire Effects, Fuels, Intelligence, Models, Prescribed Fire, Weather
Region(s): Southern
Keywords: fire size, Florida, Georgia, energy, military lands, remote sensing, fire management, forest management, smoke management, fire model evaluation, remote-piloted aircraft system

The Unmix receptor model was applied to the 2002-2014 speciated PM2.5 data from the IMPROVE site at Tallgrass National Preserve near Strong City, Kansas, to investigate the contributions of prescribed rangeland burning on local air quality. This investigation found the following…
Person:
Year: 2016
Type: Document
Source: TTRS
Topic(s): Emissions and Smoke, Fire Ecology, Models, Prescribed Fire
Region(s): Rocky Mountain
Keywords: air quality, range management, smoke management, Kansas, IMPROVE, Rangeland Burning, Secondary Organic Aerosols, source apportionment, Ammonia Emissions, aerosol

Connections between wildfires and modes of variability in climate are sought as a means for predicting fire activity on interannual to multi-decadal timescales. Several fire drivers, such as temperature and local drought index, have been shown to vary on these timescales, and…
Person:
Year: 2016
Type: Document
Source: TTRS
Topic(s): Climate, Emissions and Smoke, Fire Ecology, Models
Region(s): International
Keywords: climate change, ENSO - El Nino Southern Oscillation, air quality, climate variability, earth system models, biomass burning emissions, Global Vegetation Model, Sea-Surface Temperature, Western North-America, boreal forest fire, burned area, El-Nino, Climate System, South America, Wood Harvest

Vegetation, wildfire and atmospheric oxygen on Earth have changed throughout geological times, and are dependent on each other, determining the evolution of ecosystems, the carbon cycle, and the climate, as found in the fossil record. Previous work in the literature has only…
Person:
Year: 2016
Type: Document
Source: TTRS
Topic(s): Emissions and Smoke, Fire Ecology, Models
Region(s): International
Keywords: wildfires, smoldering fires, vegetation, Paleo Fire, peat, soil, ignition, organic soils, peat fires, combustion, Kinetics, Limits, Roles, Depth

Fine particulate matter (PM2.5) generated by forest fires has been associated with a wide range of adverse health outcomes, including exacerbation of respiratory diseases and increased risk of mortality. Due to the unpredictable nature of forest fires, it is challenging for…
Person:
Year: 2016
Type: Document
Source: TTRS
Topic(s): Emissions and Smoke, Fire Effects, Models
Region(s): Alaska, California, Eastern, Great Basin, Hawaii, Northern Rockies, Northwest, Rocky Mountain, Southern, Southwest, International, National
Keywords: wildfires, British Columbia, Canada, air quality, health factors, particulates, fire management, smoke management, forest fire smoke, Blended Models, fine particulate matter, exposure assessment, epidemiology, public health

In September-October 2015, ElNino and positive Indian Ocean Dipole conditions set the stage for massive fires in Sumatra and Kalimantan (Indonesian Borneo), leading to persistently hazardous levels of smoke pollution across much of Equatorial Asia. Here we quantify the emission…
Person:
Year: 2016
Type: Document
Source: TTRS
Topic(s): Emissions and Smoke, Hazard and Risk, Intelligence, Models, Safety
Region(s): International
Keywords: fire size, wildfires, Asia, Indonesia, Malaysia, Singapore, air quality, ENSO - El Nino Southern Oscillation, health factors, remote sensing, fire management, land use, smoke management, Land Use Change Fires, smoke exposure, GEOS-Chem Adjoint

Satellite characterization of local aerosol pollution is desirable because of the potential for broad spatial coverage, enabling transport studies of pollution from major sources, such as biomass burning events. However, retrieval of quantitative measures of air pollution such…
Person:
Year: 2016
Type: Document
Source: TTRS
Topic(s): Emissions and Smoke, Models, Fire Effects, Intelligence
Region(s): California, Great Basin
Keywords: biomass burning, Nevada, aerosols, air quality, albedo, pollution, remote sensing, fire management, smoke management, MODIS, algorithms, albedo, Deep-Blue, Dark-Target, biomass burning

Wildfire can impose a direct impact on human health under climate change. While the potential impacts of climate change on wildfires and resulting air pollution have been studied, it is not known who will be most affected by the growing threat of wildfires. Identifying…
Person:
Year: 2016
Type: Document
Source: TTRS
Topic(s): Climate, Emissions and Smoke, Fire Occurrence, Hazard and Risk, Models
Region(s): Alaska, California, Eastern, Great Basin, Hawaii, Northern Rockies, Northwest, Rocky Mountain, Southern, Southwest, National
Keywords: smoke effects, wildfires, Oregon, Great Plains, air quality, climate change, particulates, pollution, fire management, smoke management, fine particles, forest fires, Impact, quality, health, Area, mortality, perspective, management

Canadian wildfire smoke impacted air quality across the northern Mid-Atlantic (MA) of the United States during June 9-12, 2015. A multiday exceedance of the new 2015 70-ppb National Ambient Air Quality Standard (NAAQS) for ozone (O-3) followed, resulting in Maryland being…
Person:
Year: 2016
Type: Document
Source: TTRS
Topic(s): Climate, Emissions and Smoke, Fire Effects, Models
Region(s): Eastern, International
Keywords: wildfires, Canada, Maryland, air quality, CO - carbon monoxide, smoke management, VOC - volatile organic compounds, forest fire rmissions, PM - particulate matter, nitrogen oxides, climate change, urban area, boreal forest, pollution