Implications of the Khrgian-Mazin Distribution Function for Water Clouds and Distribution Consistencies with Aerosols and Rain

Implications of the Khrgian-Mazin Distribution Function for Water Clouds and Distribution Consistencies with Aerosols and Rain
Author: Vernon G. Plank
Publisher:
Total Pages: 0
Release: 1991
Genre: Aerosols
ISBN:

Applications of the Khrgian-Mazin (KM) distribution function for water clouds are discussed. The equations for the number concentration, cross- sectional area, visibility, liquid water content, and the radar/lidar reflectivity factor of water droplets are presented and modified by an assumption stemming from visibility considerations. Visibility is considered at some length and visibility theory is extended into arenas of 'recognition visibility' and 'discernment visibility' in both clear-air and cloudy circumstances. Radar/lidar distribution equations are presented that specify the detectability of clouds, in general and for natural cloud types, as a function of radar wavelength. A so-called 'M vs Z' relation is also presented that is undoubtedly the first to be developed for water clouds. Truncation effects, primarily involving instruments that do not detect the full size extent of particle distributions, are illustrated. Relations among cloud physics quantities that are solidly tied mathematically to the KM distribution function (twenty in number) are summarized. Composite distribution equations for aerosols plus clouds plus rain, or any combination, are described with examples of their utility. It is concluded that the KM function for water clouds is highly versatile and useful and that the composite equations are realistic and informative.

Rain Formation in Warm Clouds

Rain Formation in Warm Clouds
Author: A. M. Selvam
Publisher: Springer
Total Pages: 109
Release: 2015-02-12
Genre: Science
ISBN: 3319132695

This book aims to promote the understanding of some of the basic mathematical and scientific issues in the subjects relating to climate dynamics, chaos and quantum mechanics. It is based on substantial research work in atmospheric science carried out over twenty years. Atmospheric flows exhibit self similar fractal fluctuations, a signature of long-range correlations on all space-time scales. Realistic simulation and prediction of atmospheric flows requires the incorporation of the physics of observed fractal fluctuation characteristics in traditional meteorological theory. A general systems theory model for fractal space-time fluctuations in turbulent atmospheric flows is presented and applied to the formation of rain in warm clouds. This model gives scale-free universal governing equations for cloud growth processes. The model predicted cloud parameters are in agreement with reported observations, in particular, the cloud drop-size distribution. Rain formation can occur in warm clouds within 30 minutes as observed in practice under favourable conditions of moisture supply in the environment. Traditional cloud physical concepts for rain development requires over an hour for a full-sized raindrop to form. The book provides background reading for postgraduate students of Meteorology, Atmospheric Sciences/Physics, Environmental Sciences, and scientists working in the field of the topic of the book as well as the multidisciplinary field of Nonlinear Dynamics and Chaos.