Open AccessHow might a statistical cloud scheme be coupled to a mass‐flux convection scheme?
Author(s) -
Klein Stephen A.,
Pincus Robert,
Hannay Cécile,
Xu KuanMan
Publication year - 2005
Publication title -
journal of geophysical research: atmospheres
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.67
H-Index - 298
eISSN - 2156-2202
pISSN - 0148-0227
DOI - 10.1029/2004jd005017
Subject(s) - convection , cloud computing , physics , mass flux , coupling (piping) , flux (metallurgy) , mechanics , statistical physics , scheme (mathematics) , asymmetry , atmospheric convection , function (biology) , mixing (physics) , meteorology , computer science , mathematics , mathematical analysis , materials science , quantum mechanics , evolutionary biology , metallurgy , biology , operating system
The coupling of statistical cloud schemes with mass‐flux convection schemes is addressed. Source terms representing the impact of convection are derived within the framework of prognostic equations for the width and asymmetry of the probability distribution function of total water mixing ratio. The accuracy of these source terms is quantified by examining output from a cloud‐resolving model simulation of deep convection. Practical suggestions for the inclusion of these source terms in large‐scale models are offered.