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@ARTICLE{Wang:904157,
      author       = {Wang, Siyuan and Coggon, Matthew M. and Gkatzelis, Georgios
                      and Warneke, Carsten and Bourgeois, Ilann and Ryerson,
                      Thomas and Peischl, Jeff and Veres, Patrick R. and Neuman,
                      J. Andrew and Hair, Johnathan and Shingler, Taylor and Fenn,
                      Marta and Diskin, Glenn and Huey, L. Greg and Lee, Young Ro
                      and Apel, Eric C. and Hornbrook, Rebecca S. and Hills, Alan
                      J. and Hall, Samuel R. and Ullmann, Kirk and Bela, Megan M.
                      and Trainer, Michael K. and Kumar, Rajesh and Orlando, John
                      J. and Flocke, Frank M. and Emmons, Louisa K.},
      title        = {{C}hemical {T}omography in a {F}resh {W}ildland {F}ire
                      {P}lume: {A} {L}arge {E}ddy {S}imulation ({LES}) {S}tudy},
      journal      = {Journal of geophysical research / D},
      volume       = {126},
      number       = {18},
      issn         = {0148-0227},
      address      = {Hoboken, NJ},
      publisher    = {Wiley},
      reportid     = {FZJ-2021-05727},
      pages        = {e2021JD035203},
      year         = {2021},
      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 (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.},
      cin          = {IEK-8},
      ddc          = {550},
      cid          = {I:(DE-Juel1)IEK-8-20101013},
      pnm          = {2111 - Air Quality (POF4-211)},
      pid          = {G:(DE-HGF)POF4-2111},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:000702399300029},
      doi          = {10.1029/2021JD035203},
      url          = {https://juser.fz-juelich.de/record/904157},
}