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Volume 17, issue 11 | Copyright

Special issue: HD(CP)2 Observational Prototype Experiment (AMT/ACP...

Atmos. Chem. Phys., 17, 7083-7109, 2017
https://doi.org/10.5194/acp-17-7083-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 15 Jun 2017

Research article | 15 Jun 2017

Evaluation of large-eddy simulations forced with mesoscale model output for a multi-week period during a measurement campaign

Rieke Heinze1,2, Christopher Moseley1, Lennart Nils Böske2, Shravan Kumar Muppa3, Vera Maurer4,5, Siegfried Raasch2, and Bjorn Stevens1 Rieke Heinze et al.
  • 1Atmosphäre im Erdsystem, Max-Planck-Institut für Meteorologie, Hamburg, Germany
  • 2Institut für Meteorologie und Klimatologie, Leibniz Universität Hannover, Hanover, Germany
  • 3Institut für Physik und Meteorologie, Universität Hohenheim, Stuttgart, Germany
  • 4Institut für Meteorologie und Klimaforschung – Department Troposphärenforschung, Karlsruhe Institut für Technologie, Karlsruhe, Germany
  • 5Klima- und Umweltberatung, Deutscher Wetterdienst, Offenbach, Germany

Abstract. Large-eddy simulations (LESs) of a multi-week period during the HD(CP)2 (High-Definition Clouds and Precipitation for advancing Climate Prediction) Observational Prototype Experiment (HOPE) conducted in Germany are evaluated with respect to mean boundary layer quantities and turbulence statistics. Two LES models are used in a semi-idealized setup through forcing with mesoscale model output to account for the synoptic-scale conditions. Evaluation is performed based on the HOPE observations. The mean boundary layer characteristics like the boundary layer depth are in a principal agreement with observations. Simulating shallow-cumulus layers in agreement with the measurements poses a challenge for both LES models. Variance profiles agree satisfactorily with lidar measurements. The results depend on how the forcing data stemming from mesoscale model output are constructed. The mean boundary layer characteristics become less sensitive if the averaging domain for the forcing is large enough to filter out mesoscale fluctuations.

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High-resolution multi-week simulations of a measurement campaign are evaluated with respect to mean boundary layer quantities and turbulence statistics. Two models are used in a semi-idealized setup through forcing, with output from a coarser-scale model to account for the larger-scale conditions. The boundary layer depth is in principal agreement with observations. Turbulence statistics like variance profiles agree satisfactorily with measurements.
High-resolution multi-week simulations of a measurement campaign are evaluated with respect to...
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