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Heinze, Rieke [VerfasserIn]; Moseley, Christopher [VerfasserIn]; Böske, Lennart Nils [VerfasserIn]; Muppa, Shravan Kumar [VerfasserIn]; Maurer, Vera [VerfasserIn]; Raasch, Siegfried [VerfasserIn]; Stevens, Björn [VerfasserIn]

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

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  • Medientyp: Sonstige Veröffentlichung; E-Artikel
  • Titel: Evaluation of large-eddy simulations forced with mesoscale model output for a multi-week period during a measurement campaign
  • Beteiligte: Heinze, Rieke [VerfasserIn]; Moseley, Christopher [VerfasserIn]; Böske, Lennart Nils [VerfasserIn]; Muppa, Shravan Kumar [VerfasserIn]; Maurer, Vera [VerfasserIn]; Raasch, Siegfried [VerfasserIn]; Stevens, Björn [VerfasserIn]
  • Erschienen: Göttingen : Copernicus GmbH, 2017
  • Erschienen in: Atmospheric Chemistry and Physics 17 (2017), Nr. 11
  • Ausgabe: published Version
  • Sprache: Englisch
  • DOI: https://doi.org/10.15488/1711; https://doi.org/10.5194/acp-17-7083-2017
  • ISSN: 1680-7316
  • Schlagwörter: LES ; Large-eddy simulation ; HOPE
  • Entstehung:
  • Anmerkungen: Diese Datenquelle enthält auch Bestandsnachweise, die nicht zu einem Volltext führen.
  • Beschreibung: 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. © Author(s) 2017. ; BMBF/01LK1203B ; BMBF/01LK1203A
  • Zugangsstatus: Freier Zugang
  • Rechte-/Nutzungshinweise: Namensnennung (CC BY)