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    Some Statistical Properties of a Homogeneous and Stationary Shallow Cumulus Cloud Field

    Source: Journal of the Atmospheric Sciences:;1978:;Volume( 035 ):;issue: 001::page 125
    Author:
    Cho, Han-Ru
    DOI: 10.1175/1520-0469(1978)035<0125:SSPOAH>2.0.CO;2
    Publisher: American Meteorological Society
    Abstract: Some statistical properties of homogeneous and stationary shallow cumulus cloud fields are studied. The work is motivated by the observation that the number of cumulus clouds in a large-scale tropical weather system is usually very large. It seems necessary to introduce statistical methods in solving the problem of cumulus parameterization. The study is based upon the assumption that a shallow cumulus cloud field in a homogeneous and stationary state is composed of a large number of statistically independent clouds or cloud groups. The physical basis for this assumption is discussed. Two statistical properties of cloud fields are investigated. The spatial distribution of independent cloud groups is first derived and is given by the Poisson distribution. This distribution is found to agree very well with data of some cloud radar observations. Certain constraints imposed on cloud fields by large-scale circulations and surface conditions are then discussed. The cloud group distribution as a function of vertical moisture transport rates of cloud groups at the cloud-base level is also derived. It is shown that under certain conditions this distribution also gives the size distribution of cloud groups. A comparison of this derived size distribution with the size distribution obtained from cloud radar observations is made. The agreement between the derived and the observed distributions appears quite encouraging.
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      Some Statistical Properties of a Homogeneous and Stationary Shallow Cumulus Cloud Field

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4153307
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    contributor authorCho, Han-Ru
    date accessioned2017-06-09T14:19:56Z
    date available2017-06-09T14:19:56Z
    date copyright1978/01/01
    date issued1978
    identifier issn0022-4928
    identifier otherams-17415.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4153307
    description abstractSome statistical properties of homogeneous and stationary shallow cumulus cloud fields are studied. The work is motivated by the observation that the number of cumulus clouds in a large-scale tropical weather system is usually very large. It seems necessary to introduce statistical methods in solving the problem of cumulus parameterization. The study is based upon the assumption that a shallow cumulus cloud field in a homogeneous and stationary state is composed of a large number of statistically independent clouds or cloud groups. The physical basis for this assumption is discussed. Two statistical properties of cloud fields are investigated. The spatial distribution of independent cloud groups is first derived and is given by the Poisson distribution. This distribution is found to agree very well with data of some cloud radar observations. Certain constraints imposed on cloud fields by large-scale circulations and surface conditions are then discussed. The cloud group distribution as a function of vertical moisture transport rates of cloud groups at the cloud-base level is also derived. It is shown that under certain conditions this distribution also gives the size distribution of cloud groups. A comparison of this derived size distribution with the size distribution obtained from cloud radar observations is made. The agreement between the derived and the observed distributions appears quite encouraging.
    publisherAmerican Meteorological Society
    titleSome Statistical Properties of a Homogeneous and Stationary Shallow Cumulus Cloud Field
    typeJournal Paper
    journal volume35
    journal issue1
    journal titleJournal of the Atmospheric Sciences
    identifier doi10.1175/1520-0469(1978)035<0125:SSPOAH>2.0.CO;2
    journal fristpage125
    journal lastpage138
    treeJournal of the Atmospheric Sciences:;1978:;Volume( 035 ):;issue: 001
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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