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A Stochastic Parameterization for Deep Convection Based on Equilibrium Statistics

Plant, R.S. and Craig, G.C. (2008) A Stochastic Parameterization for Deep Convection Based on Equilibrium Statistics. Journal of the Atmospheric Sciences, 65, pp. 87-105. American Meteorological Society. doi: 10.1175/2007JAS2263.1.


Official URL: http://ams.allenpress.com/perlserv/?request=get-archive&issn=1520-0469


A stochastic parameterization scheme for deep convection is described, suitable for use in both climate and NWP models. Theoretical arguments and the results of cloud-resolving models are discussed in order to motivate the form of the scheme. In the deterministic limit, it tends to a spectrum of entraining/detraining plumes and is similar to other current parameterizations. The stochastic variability describes the local fluctuations about a large-scale equilibrium state. Plumes are drawn at random from a probability distribution function (PDF) that defines the chance of finding a plume of given cloud-base mass flux within each model grid box. The normalization of the PDF is given by the ensemble-mean mass flux, and this is computed with a CAPE closure method. The characteristics of each plume produced are determined using an adaptation of the plume model from the Kain–Fritsch parameterization. Initial tests in the single-column version of the Unified Model verify that the scheme is effective in producing the desired distributions of convective variability without adversely affecting the mean state.

Item URL in elib:https://elib.dlr.de/53655/
Document Type:Article
Title:A Stochastic Parameterization for Deep Convection Based on Equilibrium Statistics
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Plant, R.S.Univ. of Reading, UKUNSPECIFIED
Journal or Publication Title:Journal of the Atmospheric Sciences
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In ISI Web of Science:Yes
Page Range:pp. 87-105
Publisher:American Meteorological Society
Keywords:convection, stochastic parameterization
HGF - Research field:Aeronautics, Space and Transport (old)
HGF - Program:Space (old)
HGF - Program Themes:W EO - Erdbeobachtung
DLR - Research area:Space
DLR - Program:W EO - Erdbeobachtung
DLR - Research theme (Project):W - Vorhaben Atmosphären- und Klimaforschung (old)
Location: Oberpfaffenhofen
Institutes and Institutions:Institute of Atmospheric Physics > Cloud Physics and Traffic Meteorology
Deposited By: Freund, Jana
Deposited On:05 Mar 2008
Last Modified:06 Sep 2019 15:27

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