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@ARTICLE{Mertens:890294,
      author       = {Mertens, Mariano and Kerkweg, Astrid and Grewe, Volker and
                      Jöckel, Patrick and Sausen, Robert},
      title        = {{A}re contributions of emissions to ozone a matter of
                      scale? – a study using {MECO}(n) ({MESS}y v2.50)},
      journal      = {Geoscientific model development},
      volume       = {13},
      number       = {1},
      issn         = {1991-9603},
      address      = {Katlenburg-Lindau},
      publisher    = {Copernicus},
      reportid     = {FZJ-2021-00875},
      pages        = {363 - 383},
      year         = {2020},
      abstract     = {Anthropogenic and natural emissions influence the
                      tropospheric ozone budget, thereby affecting air quality and
                      climate. To study the influence of different emission
                      sources on the ozone budget, often source apportionment
                      studies with a tagged tracer approach are performed. Studies
                      investigating air quality issues usually rely on regional
                      models with a fine spatial resolution, while studies
                      focusing on climate-related questions often use coarsely
                      resolved global models. It is well known that simulated
                      ozone mixing ratios depend on the resolution of the model
                      and the resolution of the emission inventory. Whether the
                      contributions simulated using source apportionment
                      approaches also depend on the model resolution, however, is
                      still unclear. Therefore, this study attempts for the first
                      time to analyse the impact of the model, the model
                      resolution, and the emission inventory resolution on
                      simulated ozone contributions using a diagnostic tagging
                      method. The differences in the ozone contributions caused by
                      these factors are compared with differences that arise from
                      the usage of different emission inventories. To do so, we
                      apply the MECO(n) (MESSy-fied ECHAM and COSMO models nested
                      n times) model system which couples online a global
                      chemistry-climate model with a regional chemistry-climate
                      model equipped with a tagging scheme for source
                      apportionment. The results of the global model (at 300 km
                      horizontal resolution) are compared with the results of the
                      regional model at 50 km (Europe) and 12 km (Germany)
                      resolutions. Besides model-specific differences and biases
                      that are discussed in detail, our results have important
                      implications for other modelling studies and modellers
                      applying source apportionment methods. First, contributions
                      from anthropogenic emissions averaged over the continental
                      scale are quite robust with respect to the model, model
                      resolution, and emission inventory resolution. Second,
                      differences on the regional scale caused by different models
                      and model resolutions can be quite large, and regional
                      models are indispensable for source apportionment studies on
                      the subcontinental scale. Third, contributions from
                      stratospheric ozone transported to the surface differ
                      strongly between the models, mainly caused by differences in
                      the efficiency of the vertical mixing. As stratospheric
                      ozone plays an important role for ground level ozone, but
                      the models show large differences in the amount of downward
                      transported ozone, source apportionment methods should
                      account for this source explicitly to better understand
                      inter-model differences.},
      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:000512297800003},
      doi          = {10.5194/gmd-13-363-2020},
      url          = {https://juser.fz-juelich.de/record/890294},
}