This title appears in the Scientific Report :
2018
Please use the identifier:
http://hdl.handle.net/2128/17587 in citations.
Lagrangian transport of trace gases in the upper troposphere and lower stratosphere (UTLS)
Lagrangian transport of trace gases in the upper troposphere and lower stratosphere (UTLS)
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...
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Personal Name(s): | Konopka, Paul (Corresponding author) |
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Contributing Institute: |
Stratosphäre; IEK-7 |
Imprint: |
Jülich
Forschungszentrum Jülich GmbH Zentralbibliothek, Verlag
2017
|
Physical Description: |
70 S. |
Dissertation Note: |
Habilitationsschrift, Universität Mainz, 2015 |
ISBN: |
978-3-95806-279-5 |
Document Type: |
Habil / Postdoctoral Thesis (Non-german Habil) Book |
Research Program: |
ohne Topic |
Series Title: |
Schriften des Forschungszentrums Jülich Reihe Energie & Umwelt / Energy & Environment
400 |
Link: |
OpenAccess OpenAccess |
Publikationsportal JuSER |
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. |