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Rain formation in warm clouds = gene...

Selvam, A. M.

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Rain formation in warm clouds = general systems theory /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Rain formation in warm clouds/ by A. M. Selvam.
其他題名:	general systems theory /
作者:	Selvam, A. M.
出版者:	Cham :Springer International Publishing : : 2015.,
面頁冊數:	xv, 98 p. :ill., digital ;24 cm.
內容註:	General Systems Theory Concepts in Atmospheric Flows -- Cumulus Cloud Model -- Universal Spectrum for Atmospheric Suspended Particulates: Comparison with Observations: Data set I -- Universal Spectrum for Atmospheric Suspended Particulates: Comparison with Observations: Data set II -- Universal Spectrum for Atmospheric Suspended Particulates: Comparison with Observations: Data set III.
Contained By:	Springer eBooks
標題:	Cloud physics. -
電子資源:	http://dx.doi.org/10.1007/978-3-319-13269-3
ISBN:	9783319132693 (electronic bk.)

Rain formation in warm clouds = general systems theory /
Selvam, A. M.

Rain formation in warm cloudsgeneral systems theory /[electronic resource] :by A. M. Selvam. - Cham :Springer International Publishing :2015. - xv, 98 p. :ill., digital ;24 cm. - SpringerBriefs in meteorology,2199-9112. - SpringerBriefs in meteorology..

General Systems Theory Concepts in Atmospheric Flows -- Cumulus Cloud Model -- Universal Spectrum for Atmospheric Suspended Particulates: Comparison with Observations: Data set I -- Universal Spectrum for Atmospheric Suspended Particulates: Comparison with Observations: Data set II -- Universal Spectrum for Atmospheric Suspended Particulates: Comparison with Observations: Data set III.

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.

ISBN: 9783319132693 (electronic bk.)

Standard No.: 10.1007/978-3-319-13269-3doiSubjects--Topical Terms:

642015
Cloud physics.

LC Class. No.: QC921.5

Dewey Class. No.: 551.576

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520 $a 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.
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