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    Implementation of an E–ϵ Parameterization of Vertical Subgrid-Scale Mixing in a Regional Model

    Source: Monthly Weather Review:;1996:;volume( 124 ):;issue: 005::page 905
    Author:
    Langland, Rolf H.
    ,
    Liou, Chi-Sann
    DOI: 10.1175/1520-0493(1996)124<0905:IOAPOV>2.0.CO;2
    Publisher: American Meteorological Society
    Abstract: An E?? parameterization of subgrid-scale vertical turbulent mixing has been installed in NORAPS (Navy operational Regional Atmospheric Prediction System). The 1.5-order parameterization uses full prognostic equations for turbulence kinetic energy E and dissipation ? with no mixing length l assumption. A stable numerical method has been developed to integrate the two prognostic equations; this method has time and memory requirements that are similar to first-order K-theory turbulence parameterization and avoids numerical instabilities reported with E?l (Mellor?Yamada level 2.5) schemes. The E?? parameterization produces a more active mixed layer, compared to a first-order K-theory scheme. Improvements are noted in forecasts of mixed-layer depth and near-surface wind speed, with reduction or elimination of spurious noise in the predicted fields of temperature and wind that were related to deficiencies of the first-order K-theory parameterization. In a numerical simulation of the ERICA (Experiment on Rapidly Intensifying Storms over the Atlantic) IOP 5A storm, the E?? parameterization provides an improved forecast of cyclone central pressure. The better cyclone forecast results primarily from more accurate prediction of wind speed near the surface and in the upper troposphere where first-order K theory may produce unrealistic vertical mixing of momentum and temperature.
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      Implementation of an E–ϵ Parameterization of Vertical Subgrid-Scale Mixing in a Regional Model

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4203631
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    contributor authorLangland, Rolf H.
    contributor authorLiou, Chi-Sann
    date accessioned2017-06-09T16:10:48Z
    date available2017-06-09T16:10:48Z
    date copyright1996/05/01
    date issued1996
    identifier issn0027-0644
    identifier otherams-62709.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4203631
    description abstractAn E?? parameterization of subgrid-scale vertical turbulent mixing has been installed in NORAPS (Navy operational Regional Atmospheric Prediction System). The 1.5-order parameterization uses full prognostic equations for turbulence kinetic energy E and dissipation ? with no mixing length l assumption. A stable numerical method has been developed to integrate the two prognostic equations; this method has time and memory requirements that are similar to first-order K-theory turbulence parameterization and avoids numerical instabilities reported with E?l (Mellor?Yamada level 2.5) schemes. The E?? parameterization produces a more active mixed layer, compared to a first-order K-theory scheme. Improvements are noted in forecasts of mixed-layer depth and near-surface wind speed, with reduction or elimination of spurious noise in the predicted fields of temperature and wind that were related to deficiencies of the first-order K-theory parameterization. In a numerical simulation of the ERICA (Experiment on Rapidly Intensifying Storms over the Atlantic) IOP 5A storm, the E?? parameterization provides an improved forecast of cyclone central pressure. The better cyclone forecast results primarily from more accurate prediction of wind speed near the surface and in the upper troposphere where first-order K theory may produce unrealistic vertical mixing of momentum and temperature.
    publisherAmerican Meteorological Society
    titleImplementation of an E–ϵ Parameterization of Vertical Subgrid-Scale Mixing in a Regional Model
    typeJournal Paper
    journal volume124
    journal issue5
    journal titleMonthly Weather Review
    identifier doi10.1175/1520-0493(1996)124<0905:IOAPOV>2.0.CO;2
    journal fristpage905
    journal lastpage918
    treeMonthly Weather Review:;1996:;volume( 124 ):;issue: 005
    contenttypeFulltext
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