A subgrid parameterization scheme for precipitation

With increasing computing power, the horizontal resolution of numerical weather prediction (NWP) models is improving and today reaches 1 to 5 km. Nevertheless, clouds and precipitation formation are still subgrid scale processes for most cloud types, such as cumulus and stratocumulus. Subgrid scale...

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Main Authors: S. Turner, J.-L. Brenguier, C. Lac
Format: Article
Language:English
Published: Copernicus Publications 2012-04-01
Series:Geoscientific Model Development
Online Access:http://www.geosci-model-dev.net/5/499/2012/gmd-5-499-2012.pdf
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spelling doaj-6bd887cb35ba497ba95687b4dbb1efde2020-11-24T21:20:01ZengCopernicus PublicationsGeoscientific Model Development1991-959X1991-96032012-04-015249952110.5194/gmd-5-499-2012A subgrid parameterization scheme for precipitationS. TurnerJ.-L. BrenguierC. LacWith increasing computing power, the horizontal resolution of numerical weather prediction (NWP) models is improving and today reaches 1 to 5 km. Nevertheless, clouds and precipitation formation are still subgrid scale processes for most cloud types, such as cumulus and stratocumulus. Subgrid scale parameterizations for water vapor condensation have been in use for many years and are based on a prescribed probability density function (PDF) of relative humidity spatial variability within the model grid box, thus providing a diagnosis of the cloud fraction. A similar scheme is developed and tested here. It is based on a prescribed PDF of cloud water variability and a threshold value of liquid water content for droplet collection to derive a rain fraction within the model grid. Precipitation of rainwater raises additional concerns relative to the overlap of cloud and rain fractions, however. The scheme is developed following an analysis of data collected during field campaigns in stratocumulus (DYCOMS-II) and fair weather cumulus (RICO) and tested in a 1-D framework against large eddy simulations of these observed cases. The new parameterization is then implemented in a 3-D NWP model with a horizontal resolution of 2.5 km to simulate real cases of precipitating cloud systems over France.http://www.geosci-model-dev.net/5/499/2012/gmd-5-499-2012.pdf
collection DOAJ
language English
format Article
sources DOAJ
author S. Turner
J.-L. Brenguier
C. Lac
spellingShingle S. Turner
J.-L. Brenguier
C. Lac
A subgrid parameterization scheme for precipitation
Geoscientific Model Development
author_facet S. Turner
J.-L. Brenguier
C. Lac
author_sort S. Turner
title A subgrid parameterization scheme for precipitation
title_short A subgrid parameterization scheme for precipitation
title_full A subgrid parameterization scheme for precipitation
title_fullStr A subgrid parameterization scheme for precipitation
title_full_unstemmed A subgrid parameterization scheme for precipitation
title_sort subgrid parameterization scheme for precipitation
publisher Copernicus Publications
series Geoscientific Model Development
issn 1991-959X
1991-9603
publishDate 2012-04-01
description With increasing computing power, the horizontal resolution of numerical weather prediction (NWP) models is improving and today reaches 1 to 5 km. Nevertheless, clouds and precipitation formation are still subgrid scale processes for most cloud types, such as cumulus and stratocumulus. Subgrid scale parameterizations for water vapor condensation have been in use for many years and are based on a prescribed probability density function (PDF) of relative humidity spatial variability within the model grid box, thus providing a diagnosis of the cloud fraction. A similar scheme is developed and tested here. It is based on a prescribed PDF of cloud water variability and a threshold value of liquid water content for droplet collection to derive a rain fraction within the model grid. Precipitation of rainwater raises additional concerns relative to the overlap of cloud and rain fractions, however. The scheme is developed following an analysis of data collected during field campaigns in stratocumulus (DYCOMS-II) and fair weather cumulus (RICO) and tested in a 1-D framework against large eddy simulations of these observed cases. The new parameterization is then implemented in a 3-D NWP model with a horizontal resolution of 2.5 km to simulate real cases of precipitating cloud systems over France.
url http://www.geosci-model-dev.net/5/499/2012/gmd-5-499-2012.pdf
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