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    Another Look at Stochastic Condensation for Subgrid Cloud Modeling: Adiabatic Evolution and Effects

    Source: Journal of the Atmospheric Sciences:;2007:;Volume( 064 ):;issue: 011::page 3949
    Author:
    Jeffery, Christopher A.
    ,
    Reisner, Jon M.
    ,
    Andrejczuk, Miroslaw
    DOI: 10.1175/2006JAS2147.1
    Publisher: American Meteorological Society
    Abstract: The theory of stochastic condensation, which models the impact of an ensemble of unresolved supersaturation fluctuations S? on the volume-averaged droplet-size distribution f?(r), is revisited in the modern context of subgrid cloud parameterization. The exact transition probability density for droplet radius driven by independent, Gaussian S? fluctuations that are periodically renewed is derived and shown to be continuous but not smooth. The Fokker?Planck model follows naturally as the smooth-in-time approximation to this discrete-in-time process. Evolution equations for the moments of f?(r) that include a contribution from subgrid S? fluctuations are presented; these new terms are easily implemented in moment-based cloud schemes that resolve supersaturation. New, self-consistent expressions for the evolution of f?(r) and mean supersaturation S in a closed, adiabatic volume are derived without approximation; quite appropriately, these coupled equations exactly conserve total water mass. The behavior of this adiabatic system, which serves as a surrogate for a closed model grid column, is analyzed in detail. In particular, a new nondimensional number is derived that determines the relative impact of S? fluctuations on droplet spectral evolution, and the contribution of fluctuations to S is shown to be negative definite and maximal near the accommodation length and has a direct correspondence to the analysis of Cooper. Observational support for the theory of stochastic condensation is found in cloud droplet spectra from cumulus cloud fields measured during the Rain in the Cumulus over the Ocean (RICO) and Small Cumulus Microphysics Study (SCMS) campaigns. Increasing spectral broadening with increasing spatial scale is discovered and compares well with theoretical predictions. However, the observed spectra show evidence of non-Gaussian S? fluctuations and inhomogeneous mixing, processes neglected in the current theory.
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      Another Look at Stochastic Condensation for Subgrid Cloud Modeling: Adiabatic Evolution and Effects

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    contributor authorJeffery, Christopher A.
    contributor authorReisner, Jon M.
    contributor authorAndrejczuk, Miroslaw
    date accessioned2017-06-09T16:17:50Z
    date available2017-06-09T16:17:50Z
    date copyright2007/11/01
    date issued2007
    identifier issn0022-4928
    identifier otherams-65243.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4206447
    description abstractThe theory of stochastic condensation, which models the impact of an ensemble of unresolved supersaturation fluctuations S? on the volume-averaged droplet-size distribution f?(r), is revisited in the modern context of subgrid cloud parameterization. The exact transition probability density for droplet radius driven by independent, Gaussian S? fluctuations that are periodically renewed is derived and shown to be continuous but not smooth. The Fokker?Planck model follows naturally as the smooth-in-time approximation to this discrete-in-time process. Evolution equations for the moments of f?(r) that include a contribution from subgrid S? fluctuations are presented; these new terms are easily implemented in moment-based cloud schemes that resolve supersaturation. New, self-consistent expressions for the evolution of f?(r) and mean supersaturation S in a closed, adiabatic volume are derived without approximation; quite appropriately, these coupled equations exactly conserve total water mass. The behavior of this adiabatic system, which serves as a surrogate for a closed model grid column, is analyzed in detail. In particular, a new nondimensional number is derived that determines the relative impact of S? fluctuations on droplet spectral evolution, and the contribution of fluctuations to S is shown to be negative definite and maximal near the accommodation length and has a direct correspondence to the analysis of Cooper. Observational support for the theory of stochastic condensation is found in cloud droplet spectra from cumulus cloud fields measured during the Rain in the Cumulus over the Ocean (RICO) and Small Cumulus Microphysics Study (SCMS) campaigns. Increasing spectral broadening with increasing spatial scale is discovered and compares well with theoretical predictions. However, the observed spectra show evidence of non-Gaussian S? fluctuations and inhomogeneous mixing, processes neglected in the current theory.
    publisherAmerican Meteorological Society
    titleAnother Look at Stochastic Condensation for Subgrid Cloud Modeling: Adiabatic Evolution and Effects
    typeJournal Paper
    journal volume64
    journal issue11
    journal titleJournal of the Atmospheric Sciences
    identifier doi10.1175/2006JAS2147.1
    journal fristpage3949
    journal lastpage3969
    treeJournal of the Atmospheric Sciences:;2007:;Volume( 064 ):;issue: 011
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian