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The Fire and Smoke Model Evaluation Experiment-A Plan for Integrated, Large Fire-Atmosphere Field Campaigns.

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TLDR
The FASMEE study provides a template for additional large-scale experimental campaigns to advance fire science and operational fire and smoke models and provides an overview of the proposed experiment and recommendations for key measurements.
Abstract
The Fire and Smoke Model Evaluation Experiment (FASMEE) is designed to collect integrated observations from large wildland fires and provide evaluation datasets for new models and operational systems. Wildland fire, smoke dispersion, and atmospheric chemistry models have become more sophisticated, and next-generation operational models will require evaluation datasets that are coordinated and comprehensive for their evaluation and advancement. Integrated measurements are required, including ground-based observations of fuels and fire behavior, estimates of fire-emitted heat and emissions fluxes, and observations of near-source micrometeorology, plume properties, smoke dispersion, and atmospheric chemistry. To address these requirements the FASMEE campaign design includes a study plan to guide the suite of required measurements in forested sites representative of many prescribed burning programs in the southeastern United States and increasingly common high-intensity fires in the western United States. Here we provide an overview of the proposed experiment and recommendations for key measurements. The FASMEE study provides a template for additional large-scale experimental campaigns to advance fire science and operational fire and smoke models.

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Journal ArticleDOI

Wildfire and prescribed burning impacts on air quality in the United States.

TL;DR: Air quality impacts from wildfires have been dramatic in recent years, with millions of people exposed to elevated and sometimes hazardous fine particulate matter (PM 2.5 ) concentrations for exten...
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Impacts of post-harvest open biomass burning and burning ban policy on severe haze in the Northeastern China

TL;DR: The burning ban enforced in 2018 is estimated to have caused the PM2.5 concentrations to decrease from the 2015 level by 67.10%, 53.23%, and 10.06% in the Heilongjiang, Jilin, and Liaoning provinces respectively.
Journal ArticleDOI

Modeling Wildfire Smoke Feedback Mechanisms Using a Coupled Fire-Atmosphere Model With a Radiatively Active Aerosol Scheme

TL;DR: In this paper, the authors examined wildfire smoke-induced inversion episodes across Northern California were examined using a modeling framework that couples an atmospheric, chemical, and fire spread model, showing that wildfire smoke reduced incoming solar radiation during the afternoon, which lead to local surface cooling by up to 3 °C, which agrees with cooling observed at nearby surface stations.
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Towards spatially explicit quantification of pre- and postfire fuels and fuel consumption from traditional and point cloud measurements

TL;DR: In this paper, a novel approach to characterize shrubs non-destructively from 3D point cloud data collected with a terrestrial laser scanner was used to quantify sparkleberry (Vaccinium arboretum Marshall) shrub fuels before and after six experimental prescribed fires at Fort Jackson in South Carolina.
References
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Journal ArticleDOI

NOAA’s HYSPLIT Atmospheric Transport and Dispersion Modeling System

TL;DR: The Hybrid Single Particle Lagrangian Integrated Trajectory model (HYSPLIT) as mentioned in this paper is one of the most widely used models for atmospheric trajectory and dispersion calculations.
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Emission factors for open and domestic biomass burning for use in atmospheric models

TL;DR: This paper presented an up-to-date, comprehensive tabulation of EF for known pyrogenic species based on measurements made in smoke that has cooled to ambient temperature, but not yet undergone significant photochemical processing.
ReportDOI

BEHAVE : Fire Behavior Prediction and Fuel Modeling System -- FUEL Subsystem

TL;DR: The FUELS subsysterl of BEHAVE as mentioned in this paper contains programs that will enable fire managers to assemble fuel models and test their performance before releasing them for operational use.
Journal ArticleDOI

A physics-based approach to modelling grassland fires

TL;DR: In this paper, the authors describe the development of a three-dimensional, fully transient, physics-based computer simulation approach for modelling fire spread through surface fuels and compare the results from Australian experiments.
Journal ArticleDOI

Ozone production from wildfires: A critical review

TL;DR: In this paper, the influence of wildfire emissions on O3 production and photochemical reactions within a fire plume was studied. But the authors focused on three key topics: the influence on wildfire emissions, photochemistry, and regulatory issues associated with wildfire O3.
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