Sensitivity of Pyrocumulus Convection to Tree Mortality During the 2020 Creek Fire in California
Geophysical Research Letters, 2023 This study investigated the sensitivity of pyrocumulonimbus (PyroCb) induced by the California Creek fire of 2020 to the amount and type of surface fuels, within the WRF‐SFIRE modeling system.
Jungmin M. Lee +6 more
doaj +2 more sources
Application and Evaluation of a NOAA GFS-Driven Air Quality Model Using CMAQv5.4 and High-Resolution Emissions: FIREX-AQ 2019. [PDF]
J Geophys Res AtmosAbstract The National Air Quality Forecast Capability (NAQFC) provides numerical forecasting guidance of air quality up to 72 hr ahead over the United States. In this study, we evaluate the changes in its prediction skills by updating the Community Multiscale Air Quality (CMAQ) modeling system from version 5.3.1 to 5.4 and utilizing a high‐resolution 1‐
Farzad K +13 more
europepmc +2 more sources
Coupled atmosphere-wildland fire modeling with WRF 3.3 and SFIRE 2011 [PDF]
Geoscientific Model Development, 2011 We describe the physical model, numerical algorithms, and software structure of a model consisting of the Weather Research and Forecasting (WRF) model, coupled with the fire-spread model (SFIRE) module.
Adam Kochański, Jan Mandel
exaly +2 more sources
Evaluation of WRF-SFIRE performance with field observations from the FireFlux experiment [PDF]
Geoscientific Model Development, 2013 This study uses in situ measurements collected during the FireFlux field experiment to evaluate and improve the performance of the coupled atmosphere–fire model WRF-SFIRE.
Adam Kochański +2 more
exaly +2 more sources
Fire Intensity and spRead forecAst (FIRA): A Machine Learning Based Fire Spread Prediction Model for Air Quality Forecasting Application. [PDF]
GeohealthAbstract 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
RandomFront 2.3: a physical parameterisation of fire spotting for operational fire spread models – implementation in WRF-SFIRE and response analysis with LSFire+ [PDF]
Geoscientific Model Development, 2019 Fire spotting is often responsible for dangerous flare-ups in wildfires and causes secondary ignitions isolated from the primary fire zone, which lead to perilous situations.
Andrea Trucchia +2 more
exaly +2 more sources
Analysis of Fire-Induced Circulations during the FireFlux2 Experiment
Fire, 2023 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
Operational Forest-Fire Spread Forecasting Using the WRF-SFIRE Model
Remote SensingIn the present research, the open-source WRF-SFIRE model has been used to carry out surface forest fire spread forecasting in the North Sikkim region of the Indian Himalayas.
Parth Sarathi Roy +2 more
exaly +3 more sources
Comparison of WoFS-Smoke with WRF-SFIRE Smoke Forecasts
FireAccurate smoke forecasting during wildfires is essential for hazard assessment and public health protection. Current operational models have limitations in representing dynamic fire-atmosphere interactions.
Fangjiao Ma, Thomas A. Jones
exaly +3 more sources
Atmosphere, 2019 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