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On the distribution of cloud top heights based on stochastic forcing Cover

On the distribution of cloud top heights based on stochastic forcing

By:   
Open Access
|Jan 1985

Abstract

Irregular small-scale motions, which are introduced into a one-dimensional entraining jet lead to a random cloud with additive stochastic forcing. These clouds are characterized by probability distributions of the thermodynamic cloud properties. Applying a first-passage analysis, probability distributions for maximum cloud top heights can be deduced. In the disturbed tropical atmosphere, random clouds reveal a bimodal probability distribution of cloud top heights, which is essentially due to the mid-tropospheric minimum of the moist static energy. They represent deep and shallow convection. If separated, each scale may be approximated by a log-normal distribution. Some aspects of the competition between these two cloud scales are evaluated.

Language: English
Page range: 176 - 184
Submitted on: May 2, 1984
Accepted on: Jul 31, 1984
Published on: Jan 1, 1985
Published by: Stockholm University Press
In partnership with: Paradigm Publishing Services

© 1985 Klaus Fraedrich, published by Stockholm University Press
This work is licensed under the Creative Commons Attribution 4.0 License.