TY - JOUR
AU - Wang, Siyuan
AU - Coggon, Matthew M.
AU - Gkatzelis, Georgios
AU - Warneke, Carsten
AU - Bourgeois, Ilann
AU - Ryerson, Thomas
AU - Peischl, Jeff
AU - Veres, Patrick R.
AU - Neuman, J. Andrew
AU - Hair, Johnathan
AU - Shingler, Taylor
AU - Fenn, Marta
AU - Diskin, Glenn
AU - Huey, L. Greg
AU - Lee, Young Ro
AU - Apel, Eric C.
AU - Hornbrook, Rebecca S.
AU - Hills, Alan J.
AU - Hall, Samuel R.
AU - Ullmann, Kirk
AU - Bela, Megan M.
AU - Trainer, Michael K.
AU - Kumar, Rajesh
AU - Orlando, John J.
AU - Flocke, Frank M.
AU - Emmons, Louisa K.
TI - Chemical Tomography in a Fresh Wildland Fire Plume: A Large Eddy Simulation (LES) Study
JO - Journal of geophysical research / D
VL - 126
IS - 18
SN - 0148-0227
CY - Hoboken, NJ
PB - Wiley
M1 - FZJ-2021-05727
SP - e2021JD035203
PY - 2021
AB - 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 (O3), 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 O3 and NOx 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.
LB - PUB:(DE-HGF)16
UR - <Go to ISI:>//WOS:000702399300029
DO - DOI:10.1029/2021JD035203
UR - https://juser.fz-juelich.de/record/904157
ER -