A Cumulus Cloud Microphysics Parameterization for Cloud-Resolving ModelsSource: Journal of the Atmospheric Sciences:;2012:;Volume( 070 ):;issue: 005::page 1423Author:Kogan, Yefim
DOI: 10.1175/JAS-D-12-0183.1Publisher: American Meteorological Society
Abstract: microphysical parameterization for shallow cumulus and boundary layer stratocumulus clouds has been developed. Similar to the Khairoutdinov and Kogan parameterization for stratocumulus clouds, the new parameterization is based on an explicit microphysical large-eddy simulation (LES) model as a data source and benchmark for comparison. The predictions of the bulk model using the new parameterization were tested in simulations of shallow cumulus and boundary layer stratocumulus clouds; in both cases the new parameterization matched the predictions of the explicit microphysics LES quite accurately. These results show the importance of the choice of the dataset in parameterization development and the need for it to be balanced by realistic dynamic conditions. The strong sensitivity to representation of rain evaporation is also demonstrated. Accurate formulation of this process, tuned for the case of cumulus convection, has substantially improved precision of rain production.
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| contributor author | Kogan, Yefim | |
| date accessioned | 2017-06-09T16:55:29Z | |
| date available | 2017-06-09T16:55:29Z | |
| date copyright | 2013/05/01 | |
| date issued | 2012 | |
| identifier issn | 0022-4928 | |
| identifier other | ams-76554.pdf | |
| identifier uri | http://onlinelibrary.yabesh.ir/handle/yetl/4219014 | |
| description abstract | microphysical parameterization for shallow cumulus and boundary layer stratocumulus clouds has been developed. Similar to the Khairoutdinov and Kogan parameterization for stratocumulus clouds, the new parameterization is based on an explicit microphysical large-eddy simulation (LES) model as a data source and benchmark for comparison. The predictions of the bulk model using the new parameterization were tested in simulations of shallow cumulus and boundary layer stratocumulus clouds; in both cases the new parameterization matched the predictions of the explicit microphysics LES quite accurately. These results show the importance of the choice of the dataset in parameterization development and the need for it to be balanced by realistic dynamic conditions. The strong sensitivity to representation of rain evaporation is also demonstrated. Accurate formulation of this process, tuned for the case of cumulus convection, has substantially improved precision of rain production. | |
| publisher | American Meteorological Society | |
| title | A Cumulus Cloud Microphysics Parameterization for Cloud-Resolving Models | |
| type | Journal Paper | |
| journal volume | 70 | |
| journal issue | 5 | |
| journal title | Journal of the Atmospheric Sciences | |
| identifier doi | 10.1175/JAS-D-12-0183.1 | |
| journal fristpage | 1423 | |
| journal lastpage | 1436 | |
| tree | Journal of the Atmospheric Sciences:;2012:;Volume( 070 ):;issue: 005 | |
| contenttype | Fulltext |