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    Hierarchy of Mesoscale Flow Assumptions and Equations 

    Source: Journal of the Atmospheric Sciences:;1996:;Volume( 053 ):;issue: 003:;page 380
    Author(s): Thunis, P.; Bornstein, R.
    Publisher: American Meteorological Society
    Abstract: The present research proposes a standard nomenclature for mesoscale meteorological concepts and integrates existing concepts of atmospheric space scales, flow assumptions, governing equations, and resulting motions into a ...
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    Formulation and Evaluation of a Nonhydrostatic Mesoscale Vorticity Model (TVM) 

    Source: Monthly Weather Review:;2000:;volume( 128 ):;issue: 009:;page 3236
    Author(s): Thunis, P.; Clappier, A.
    Publisher: American Meteorological Society
    Abstract: This paper describes the formulation and the application of the nonhydrostatic anelastic vorticity model (TVM). This model is constructed using a method involving two horizontal streamfunctions and two horizontal vorticity ...
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    On the Validity of Reynolds Assumptions for Running-Mean Filters in the Absence of a Spectral Gap 

    Source: Journal of the Atmospheric Sciences:;1999:;Volume( 056 ):;issue: 012:;page 1785
    Author(s): Galmarini, S.; Thunis, P.
    Publisher: American Meteorological Society
    Abstract: A running-mean operator is used to average predefined signals in order to calculate subgrid-scale (SGS) contributions. The role of the Leonard and cross terms (l and C, respectively) in the definition of the SGS is studied ...
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    Estimating the Contribution of Leonard and Cross Terms to the Subfilter Scale from Atmospheric Measurements 

    Source: Journal of the Atmospheric Sciences:;2000:;Volume( 057 ):;issue: 017:;page 2968
    Author(s): Galmarini, S.; Michelutti, F.; Thunis, P.
    Publisher: American Meteorological Society
    Abstract: The theoretical analysis presented recently on the role of Leonard and cross terms in determining the subfilter contribution when using a running mean is verified using atmospheric measurements. Measurements of variables ...
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    Topographic Vorticity-Mode Mesoscale-β (TVM) Model. Part I: Formulation 

    Source: Journal of Applied Meteorology:;1996:;volume( 035 ):;issue: 010:;page 1815
    Author(s): Schayes, G.; Thunis, P.; Bornstein, R.
    Publisher: American Meteorological Society
    Abstract: The three-dimensional, flat-terrain, finite-difference URBMET vorticity, mode mesoscale-? model has been modified to include topographic effects. The resulting topographic vorticity-mode mesoscale-? (TVM) model is hydrostatic, ...
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    Topographic Vorticity-Mode Mesoscale-β (TVM) Model. Part II: Evaluation 

    Source: Journal of Applied Meteorology:;1996:;volume( 035 ):;issue: 010:;page 1824
    Author(s): Bornstein, R.; Thunis, P.; Grossi, P.; Schayes, G.
    Publisher: American Meteorological Society
    Abstract: The new topographic vorticity-mode mesoscale-? (TVM) model, whose formulation is described in Part I of this paper, was used to simulate data from the June 1983 Sixth European Remote Sensing Campaign on Air Pollution at ...
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