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    Cumulus Parameterization and Rainfall Rates I

    Source: Monthly Weather Review:;1980:;volume( 108 ):;issue: 004::page 465
    Author:
    Krishnamurti, T. N.
    ,
    Ramanathan, Y.
    ,
    Pan, Hua-Lu
    ,
    Pasch, Richard J.
    ,
    Molinari, John
    DOI: 10.1175/1520-0493(1980)108<0465:CPARRI>2.0.CO;2
    Publisher: American Meteorological Society
    Abstract: Modeling of convective rainfall rates is a central problem in tropical meteorology. Toward numerical weather prediction efforts the semi-prognostic approach (i.e., a one time-step prediction of rainfall rates) provides a relevant test of cumulus parameterization methods. In this paper we compare five currently available cumulus parameterization schemes using the semi-prognostic approach. The calculated rainfall rates are compared with observed estimates provided in the recent publication of Hudlow and Patterson (1979). Among these the scheme proposed by Kuo (1974) provides the least root-mean-square error between the calculated and the observed estimates, slightly better than that of Arakawa and Schubert (1974), which was used by Lord (1978a). The simplicity of the approach holds promise for numerical weather prediction. Unlike some of the other schemes this method is not sensitive to and does not require computation of internal parameters such as profiles of cloud mass flux updrafts and downdrafts, detrainment of cloud matter and entrainment of environmental air. The present paper does not address the prognostic evolution and verification of the vertical distribution of temperature, humidity or momentum. These will be compared for the different methods in more detail separately.
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      Cumulus Parameterization and Rainfall Rates I

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4200202
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    • Monthly Weather Review

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    contributor authorKrishnamurti, T. N.
    contributor authorRamanathan, Y.
    contributor authorPan, Hua-Lu
    contributor authorPasch, Richard J.
    contributor authorMolinari, John
    date accessioned2017-06-09T16:02:47Z
    date available2017-06-09T16:02:47Z
    date copyright1980/04/01
    date issued1980
    identifier issn0027-0644
    identifier otherams-59623.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4200202
    description abstractModeling of convective rainfall rates is a central problem in tropical meteorology. Toward numerical weather prediction efforts the semi-prognostic approach (i.e., a one time-step prediction of rainfall rates) provides a relevant test of cumulus parameterization methods. In this paper we compare five currently available cumulus parameterization schemes using the semi-prognostic approach. The calculated rainfall rates are compared with observed estimates provided in the recent publication of Hudlow and Patterson (1979). Among these the scheme proposed by Kuo (1974) provides the least root-mean-square error between the calculated and the observed estimates, slightly better than that of Arakawa and Schubert (1974), which was used by Lord (1978a). The simplicity of the approach holds promise for numerical weather prediction. Unlike some of the other schemes this method is not sensitive to and does not require computation of internal parameters such as profiles of cloud mass flux updrafts and downdrafts, detrainment of cloud matter and entrainment of environmental air. The present paper does not address the prognostic evolution and verification of the vertical distribution of temperature, humidity or momentum. These will be compared for the different methods in more detail separately.
    publisherAmerican Meteorological Society
    titleCumulus Parameterization and Rainfall Rates I
    typeJournal Paper
    journal volume108
    journal issue4
    journal titleMonthly Weather Review
    identifier doi10.1175/1520-0493(1980)108<0465:CPARRI>2.0.CO;2
    journal fristpage465
    journal lastpage472
    treeMonthly Weather Review:;1980:;volume( 108 ):;issue: 004
    contenttypeFulltext
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