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@PHDTHESIS{Konopka:841813,
      author       = {Konopka, Paul},
      title        = {{L}agrangian transport of trace gases in the upper
                      troposphere and lower stratosphere ({UTLS})},
      volume       = {400},
      school       = {Universität Mainz},
      type         = {Habilitationsschrift},
      address      = {Jülich},
      publisher    = {Forschungszentrum Jülich GmbH Zentralbibliothek, Verlag},
      reportid     = {FZJ-2018-00114},
      isbn         = {978-3-95806-279-5},
      series       = {Schriften des Forschungszentrums Jülich Reihe Energie $\&$
                      Umwelt / Energy $\&$ Environment},
      pages        = {70 S.},
      year         = {2017},
      note         = {Habilitationsschrift, Universität Mainz, 2015},
      abstract     = {Using the Chemical Langrangian Model of the Stratosphere
                      (CLaMS), which was developed in the last two decades, we
                      discuss the following, process-oriented questions: (i) how
                      to understand the formation of the extratropical mixing
                      layer, which separates the troposphere from the
                      stratosphere. (ii) what is the impact of mixing processes on
                      the tropopause inversion layer (TIL) and, finally, (iii) how
                      to explain the large annual cycle of ozone above the
                      tropical tropopause. Furthermore, CLaMS is also applie to
                      understand the atmosperic long-term variability. Here, we
                      discuss how major sudden stratospheric warmings influence
                      stratospheric water vapor trends and how tropospheric ozone
                      trends can be separated from the stratospheric influence.
                      Finally, we quantify the influence of uncertainties in the
                      understanding of atmospheric mixing on the uncertainties in
                      radiative forcing. The opportunity to avoid, or at least to
                      minimize, the numerical diffusion ever present in Eulerian
                      numerical schemes is the strongest motivation for the
                      Langrangian formulation of transport. We show how
                      Langrangian transport implemented in CLaMS goes even further
                      and uses the numerical diffusion to parameterize physical
                      mixing. This $\textit{kumulative Habilitationsschrift}$ is
                      based on 16 studies, which are appended to the text (along
                      with a brief description of the highlights in chapters 1 and
                      3), that were undertaken with the aim of improving our
                      knowledge of various transport processes in the stratosphere
                      and upper troposphere.},
      cin          = {IEK-7},
      cid          = {I:(DE-Juel1)IEK-7-20101013},
      pnm          = {899 - ohne Topic (POF3-899)},
      pid          = {G:(DE-HGF)POF3-899},
      typ          = {PUB:(DE-HGF)13 / PUB:(DE-HGF)3},
      url          = {https://juser.fz-juelich.de/record/841813},
}