Chemical Tomography in a Fresh Wildland Fire Plume: A Large Eddy Simulation (LES) Study
Siyuan Wang, Matthew M. Coggon, Georgios I. Gkatzelis, C. Warneke, Ilann Bourgeois, Thomas B. Ryerson, Jeff Peischl, Patrick R. Veres, J. A. Neuman, Johnathan W. Hair, Taylor Shingler, Marta A. Fenn, Glenn S. Diskin, L. Greg Huey, Young Ro Lee, Eric C. Apel, Rebecca S. Hornbrook, Alan J. Hills, Samuel R. Hall, Kirk Ullmann, M. M. Bela, M. Trainer, Rajesh Kumar, John J. Orlando, F. Flocke, L. K. Emmons
Abstract
Abstract Wildland fires involve complicated processes that are challenging to represent in chemical transport models. Recent airborne measurements reveal remarkable chemical tomography in fresh wildland fire plumes, which remain yet to be fully explored using models. Here, we present a high‐resolution large eddy simulation model coupled to chemistry to study the chemical evolution in fresh wildland fire plume. The model is configured for a large fire heavily sampled during the Fire Influence on Regional to Global Environments and Air Quality field campaign, and a variety of airborne measurements are used to evaluate the chemical heterogeneity revealed by the model. We show that the model captures the observed cross‐transect variations of a number of compounds quite well, including ozone (O 3 ), nitrous acid (HONO), and peroxyacetyl nitrate. The combined observational and modeling results suggest that the top and edges of fresh plume drive the photochemistry, while dark chemistry is also present but in the lower part of the plume. The model spatial resolution is shown to be very important as it may shift the chemical regime, leading to biases in O 3 and NO x chemistry. Based on findings in this work, we speculate that the impact of small fires on air quality may be largely underestimated in models with coarse spatial resolutions.