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Geoscientific Model Development An interactive open-access journal of the European Geosciences Union
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Volume 5, issue 3
Geosci. Model Dev., 5, 761-772, 2012
https://doi.org/10.5194/gmd-5-761-2012
© Author(s) 2012. This work is distributed under
the Creative Commons Attribution 3.0 License.
Geosci. Model Dev., 5, 761-772, 2012
https://doi.org/10.5194/gmd-5-761-2012
© Author(s) 2012. This work is distributed under
the Creative Commons Attribution 3.0 License.

Development and technical paper 23 May 2012

Development and technical paper | 23 May 2012

Supersaturation calculation in large eddy simulation models for prediction of the droplet number concentration

O. Thouron1, J.-L. Brenguier2, and F. Burnet2 O. Thouron et al.
  • 1CERFACS/A&E, URA1875, 42 avenue Gaspard Coriolis, 31057 Toulouse CEDEX 01, France
  • 2CNRM/GMEI/MNPCA, METEOFRANCE, URA1357, 42 avenue Gaspard Coriolis, 31057 Toulouse CEDEX 01, France

Abstract. A new parameterization scheme is described for calculation of supersaturation in LES models that specifically aims at the simulation of cloud condensation nuclei (CCN) activation and prediction of the droplet number concentration. The scheme is tested against current parameterizations in the framework of the Meso-NH LES model. It is shown that the saturation adjustment scheme, based on parameterizations of CCN activation in a convective updraft, overestimates the droplet concentration in the cloud core, while it cannot simulate cloud top supersaturation production due to mixing between cloudy and clear air. A supersaturation diagnostic scheme mitigates these artefacts by accounting for the presence of already condensed water in the cloud core, but it is too sensitive to supersaturation fluctuations at cloud top and produces spurious CCN activation during cloud top mixing. The proposed pseudo-prognostic scheme shows performance similar to the diagnostic one in the cloud core but significantly mitigates CCN activation at cloud top.

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