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Webinar: A dataset for the evaluation of smoke models

Tuesday,   January 14, 1:00 – 2:00 pm MST
Webinar: A Dataset for the Evaluation of Smoke Models – Emissions, Plume Rise, and Dispersion     
Shawn Urbanski will present an   overview of the dataset “Airborne and Lidar measurements of smoke plume   rise, emissions, and dispersion.”  The dataset consists of measurements   of smoke emissions, plume rise, and dispersion for eight wildfires in the   western United States and prescribed fires in California, Idaho, and North   Carolina. The 11 wildland fires were investigated over 24 days between   August 2009 and August 2011, allowing the research team to measure plume rise   and smoke transport over a wide range of meteorological conditions, fire   activity, fuels, and terrain.  The dataset includes measurements of   prognostic variables (plume height and the concentrations of aerosol, carbon   dioxide, carbon monoxide, and methane) of plume rise models, smoke dispersion   models, and atmospheric chemistry transport models.  The subcomponent   models of smoke modeling systems, such as plume rise and fire effects models   rely on a variety of fire environment data as input including ambient   meteorological conditions, fuel type, fuel loading, and fuel condition.    In addition to measuring model prognostic variables, this data product also   has ancillary data consisting of fire environment variables which are input   for the subcomponent models of smoke modeling systems.  We will also   discuss potential applications of the dataset with respect to model   evaluation.  The comprehensively documented dataset is published in the Forest Service Data Archive.

Earlier Event: January 1
Planning large scale burns
Later Event: January 28
3-Part Webinar Series on using LANDFIRE