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Titlebook: Stochastic Lagrangian Models of Turbulent Diffusion; Howard C. Rodean Book 1996 American Meteorological Society 1996 Convective boundary l

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書目名稱Stochastic Lagrangian Models of Turbulent Diffusion
編輯Howard C. Rodean
視頻videohttp://file.papertrans.cn/878/877981/877981.mp4
概述This eBook available on-line for the first time, an AMS publication previously only in print.Well-structured overview of stochastic Lagrangian models of turbulent diffusion.Useful tool for atmospheric
叢書名稱Meteorological Monographs
圖書封面Titlebook: Stochastic Lagrangian Models of Turbulent Diffusion;  Howard C. Rodean Book 1996 American Meteorological Society 1996 Convective boundary l
描述This book is intended to give atmospheric scientists a basic understanding of the physical and mathematical foundations of stochastic Lagrangian models of turbulent diffusion. It presents the reader with the historical context of the topic, and it provides definitions, criteria and applications for stochastic diffusion.
出版日期Book 1996
關鍵詞Convective boundary layer; Lagrangian models; Lagrangian stochastic model; Parameterization of turbulen
版次1
doihttps://doi.org/10.1007/978-1-935704-11-9
isbn_ebook978-1-935704-11-9Series ISSN 0065-9401
issn_series 0065-9401
copyrightAmerican Meteorological Society 1996
The information of publication is updating

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Criteria for Stochastic Models of Turbulent Diffusion,e diffusion equation and Thomson’s (1987) well-mixed criterion. It is appropriate at this point to review the several criteria that have been proposed. These were the subject of Thomson’s classic paper in which he considered the following five:.Thomson showed in section 3 of his paper that a general
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Application to the Convective Boundary Layer,roximation. A major exception is the convective boundary layer (CBL) because the persistent updrafts and downdrafts dominate the vertical flow. The resultant trajectory of a passive tracer cannot, therefore, be regarded as a superposition of independent increments as in Eqs. (9.8c) and (9.10b), for
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Parameterization of Turbulence Statistics for Model Inputs,isplacement model (RDM)1 are 1) the variance of the turbulent velocity fluctuations (e.g., σ.) and 2) either the local decorrelation timescale . or the rate of dissipation of the turbulence kinetic energy .. The inputs σ. and . or . are sufficient for diffusion in one dimension, the vertical. In mor
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