Results 11 to 20 of about 92 (69)
Fire Intensity and spRead forecAst (FIRA): A Machine Learning Based Fire Spread Prediction Model for Air Quality Forecasting Application. [PDF]
Abstract Fire activities introduce hazardous impacts on the environment and public health by emitting various chemical species into the atmosphere. Most operational air quality forecast (AQF) models estimate smoke emissions based on the latest available satellite fire products, which may not represent real‐time fire behaviors without considering fire ...
Hung WT +7 more
europepmc +2 more sources
Analysis of Fire-Induced Circulations during the FireFlux2 Experiment
Despite recent advances in both coupled fire modeling and measurement techniques to sample the fire environment, the fire–atmosphere coupling mechanisms that lead to fast propagating wildfires remain poorly understood.
Adam Kochański +2 more
exaly +3 more sources
Current understanding of the buoyant rise and subsequent dispersion of smoke due to wildfires has been limited by the complexity of interactions between fire behavior and atmospheric conditions, as well as the uncertainty in model evaluation data.
Nadya Moisseeva
exaly +3 more sources
Abstract Wildfire risk and the extent of burned areas have been increasing in the Mediterranean region over recent decades, driven by high temperatures, low humidity, and extreme weather conditions intensified by climate change.
Ioannis Sakellaris +2 more
exaly +2 more sources
Wildfire smoke-plume rise: a simple energy balance parameterization [PDF]
The buoyant rise and the resultant vertical distribution of wildfire smoke in the atmosphere have a strong influence on downwind pollutant concentrations at the surface. The amount of smoke injected vs.
N. Moisseeva, R. Stull
doaj +1 more source
Abstract Predicting the evolution of burned area, smoke emissions, and energy release from wildfires is crucial to air quality forecasting and emergency response planning yet has long posed a significant scientific challenge. Here we compare predictions of burned area and fire radiative power from the coupled weather/fire‐spread model WRF‐Fire (Weather
Francis A. Turney +11 more
wiley +1 more source
Abstract Smoke from wildfires or burning biomass directly affects air quality and weather through modulating cloud microphysics and radiation. A simple wildfire emission coupling of black carbon (BC) and organic carbon (OC) with microphysics was implemented using the Weather Research and Forecasting model's fire module.
Masih Eghdami +6 more
wiley +1 more source
Abstract Wildfire frequency has increased in the Western US over recent decades, driven by climate change and a legacy of forest management practices. Consequently, human structures, health, and life are increasingly at risk due to wildfires. Furthermore, wildfire smoke presents a growing hazard for regional and national air quality.
W. Lassman +8 more
wiley +1 more source
Abstract Atmospheric inversions provide estimates of carbon dioxide (CO2) fluxes between the surface and atmosphere based on atmospheric CO2 concentration observations. The number of CO2 observations is projected to increase severalfold in the next decades from expanding in situ networks and next‐generation CO2‐observing satellites, providing both an ...
Hans W. Chen +5 more
wiley +1 more source
Forecasting fire growth, plume rise and smoke impacts on air quality remains a challenging task. Wildland fires dynamically interact with the atmosphere, which can impact fire behavior, plume rises, and smoke dispersion.
Derek V. Mallia +5 more
doaj +1 more source

