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    Source: Journal of the Atmospheric Sciences:;2017:;Volume( 074 ):;issue: 010::page 3339
    Author:
    Goswami, B. B.;Khouider, B.;Phani, R.;Mukhopadhyay, P.;Majda, A. J.
    DOI: 10.1175/JAS-D-17-0113.1
    Publisher: American Meteorological Society
    Abstract: AbstractA stochastic multicloud model (SMCM) convective parameterization, which mimics the interactions at subgrid scales of multiple cloud types, is incorporated into the National Centers for Environmental Prediction (NCEP) Climate Forecast System, version 2 (CFSv2), model (CFSsmcm) in lieu of the preexisting simplified Arakawa?Schubert (SAS) cumulus scheme. A detailed analysis of the tropical intraseasonal variability (TISV) and convectively coupled equatorial waves (CCEW) in comparison with the original (control) model and with observations is presented here. The last 10 years of a 15-yr-long climate simulation are analyzed. Significant improvements are seen in the simulation of the Madden?Julian oscillation (MJO) and most of the CCEWs as well as the Indian summer monsoon (ISM) intraseasonal oscillation (MISO). These improvements appear in the form of improved morphology and physical features of these waves. This can be regarded as a validation of the central idea behind the SMCM according to which organized tropical convection is based on three cloud types, namely, the congestus, deep, and stratiform cloud decks, that interact with each other and form a building block for multiscale convective systems. An adequate accounting of the dynamical interactions of this cloud hierarchy thus constitutes an important requirement for cumulus parameterizations to succeed in representing atmospheric tropical variability. SAS fails to fulfill this requirement, which is evident in the unrealistic physical structures of the major intraseasonal modes simulated by CFSv2 as documented here.
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    contributor authorGoswami, B. B.;Khouider, B.;Phani, R.;Mukhopadhyay, P.;Majda, A. J.
    date accessioned2018-01-03T11:02:48Z
    date available2018-01-03T11:02:48Z
    date copyright7/26/2017 12:00:00 AM
    date issued2017
    identifier otherjas-d-17-0113.1.pdf
    identifier urihttp://138.201.223.254:8080/yetl1/handle/yetl/4246519
    description abstractAbstractA stochastic multicloud model (SMCM) convective parameterization, which mimics the interactions at subgrid scales of multiple cloud types, is incorporated into the National Centers for Environmental Prediction (NCEP) Climate Forecast System, version 2 (CFSv2), model (CFSsmcm) in lieu of the preexisting simplified Arakawa?Schubert (SAS) cumulus scheme. A detailed analysis of the tropical intraseasonal variability (TISV) and convectively coupled equatorial waves (CCEW) in comparison with the original (control) model and with observations is presented here. The last 10 years of a 15-yr-long climate simulation are analyzed. Significant improvements are seen in the simulation of the Madden?Julian oscillation (MJO) and most of the CCEWs as well as the Indian summer monsoon (ISM) intraseasonal oscillation (MISO). These improvements appear in the form of improved morphology and physical features of these waves. This can be regarded as a validation of the central idea behind the SMCM according to which organized tropical convection is based on three cloud types, namely, the congestus, deep, and stratiform cloud decks, that interact with each other and form a building block for multiscale convective systems. An adequate accounting of the dynamical interactions of this cloud hierarchy thus constitutes an important requirement for cumulus parameterizations to succeed in representing atmospheric tropical variability. SAS fails to fulfill this requirement, which is evident in the unrealistic physical structures of the major intraseasonal modes simulated by CFSv2 as documented here.
    publisherAmerican Meteorological Society
    typeJournal Paper
    journal volume74
    journal issue10
    journal titleJournal of the Atmospheric Sciences
    identifier doi10.1175/JAS-D-17-0113.1
    journal fristpage3339
    journal lastpage3366
    treeJournal of the Atmospheric Sciences:;2017:;Volume( 074 ):;issue: 010
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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