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@ARTICLE{Huijnen:866830,
      author       = {Huijnen, Vincent and Pozzer, Andrea and Arteta, Joaquim and
                      Brasseur, Guy and Bouarar, Idir and Chabrillat, Simon and
                      Christophe, Yves and Doumbia, Thierno and Flemming, Johannes
                      and Guth, Jonathan and Josse, Béatrice and Karydis, Vlassis
                      A. and Marécal, Virginie and Pelletier, Sophie},
      title        = {{Q}uantifying uncertainties due to chemistry modelling –
                      evaluation of tropospheric composition simulations in the
                      {CAMS} model (cycle 43{R}1)},
      journal      = {Geoscientific model development},
      volume       = {12},
      number       = {4},
      issn         = {1991-9603},
      address      = {Katlenburg-Lindau},
      publisher    = {Copernicus},
      reportid     = {FZJ-2019-05893},
      pages        = {1725 - 1752},
      year         = {2019},
      abstract     = {We report on an evaluation of tropospheric ozone and its
                      precursor gases in three atmospheric chemistry versions as
                      implemented in the European Centre for Medium-Range Weather
                      Forecasts (ECMWF) Integrated Forecasting System (IFS),
                      referred to as IFS(CB05BASCOE), IFS(MOZART) and IFS(MOCAGE).
                      While the model versions were forced with the same overall
                      meteorology, emissions, transport and deposition schemes,
                      they vary largely in their parameterisations describing
                      atmospheric chemistry, including the organics degradation,
                      heterogeneous chemistry and photolysis, as well as chemical
                      solver. The model results from the three chemistry versions
                      are compared against a range of aircraft field campaigns,
                      surface observations, ozone-sondes and satellite
                      observations, which provides quantification of the overall
                      model uncertainty driven by the chemistry parameterisations.
                      We find that they produce similar patterns and magnitudes
                      for carbon monoxide (CO) and ozone (O3), as well as a range
                      of non-methane hydrocarbons (NMHCs), with averaged
                      differences for O3 (CO) within $10 \%$ $(20 \%)$
                      throughout the troposphere. Most of the divergence in the
                      magnitude of CO and NMHCs can be explained by differences in
                      OH concentrations, which can reach up to $50 \%,$
                      particularly at high latitudes. There are also comparatively
                      large discrepancies between model versions for NO2, SO2 and
                      HNO3, which are strongly influenced by secondary chemical
                      production and loss. Other common biases in CO and NMHCs are
                      mainly attributed to uncertainties in their emissions. This
                      configuration of having various chemistry versions within
                      IFS provides a quantification of uncertainties induced by
                      chemistry modelling in the main CAMS global trace gas
                      products beyond those that are constrained by data
                      assimilation.},
      cin          = {IEK-8},
      ddc          = {550},
      cid          = {I:(DE-Juel1)IEK-8-20101013},
      pnm          = {243 - Tropospheric trace substances and their
                      transformation processes (POF3-243)},
      pid          = {G:(DE-HGF)POF3-243},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:000466601200001},
      doi          = {10.5194/gmd-12-1725-2019},
      url          = {https://juser.fz-juelich.de/record/866830},
}