Articles | Volume 8, issue 1
Geosci. Model Dev., 8, 1–19, 2015
https://doi.org/10.5194/gmd-8-1-2015
Geosci. Model Dev., 8, 1–19, 2015
https://doi.org/10.5194/gmd-8-1-2015

Development and technical paper 06 Jan 2015

Development and technical paper | 06 Jan 2015

Parameterizing deep convection using the assumed probability density function method

R. L. Storer et al.

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Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Rachel Storer on behalf of the Authors (30 Oct 2014)  Author's response    Manuscript
ED: Publish as is (21 Nov 2014) by Richard Neale
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Short summary
Representing clouds in climate models is a challenging problem. It is particularly difficult to represent deep convective clouds and, historically, deep convective parameterization is separate from the representation of other cloud types. Here we use a single-column cloud model to simulate three deep convective cases, and two shallow cloud cases. The results look reasonable, demonstrating that it may be possible to use one parameterization within a climate model for all cloud types.