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    Dynamics of Atmospheric Regression Patterns: Regional Mountain Torque Events

    Source: Journal of the Atmospheric Sciences:;2006:;Volume( 063 ):;issue: 005::page 1467
    Author:
    Egger, Joseph
    ,
    Hoinka, Klaus-Peter
    DOI: 10.1175/JAS3694.1
    Publisher: American Meteorological Society
    Abstract: The regression of atmospheric fields against a parameter P with lag τ is a standard procedure in meteorology. Here, the torque exerted by a mountain massif is chosen as a parameter in order to study the interaction of weather systems with orography on a statistical basis. It is normally found that the amplitudes of the correlation patterns increase with τ ? 0 and decrease for increasing positive lag. It is proposed to explain this ubiquitous feature in the orographic case on the basis of the covariance equations that govern these regressions. Two examples are discussed. First, a version of the low-order Charney?DeVore model of ?-plane flow over a mountain is considered where stochastic forcing stirs a Rossby wave mode. It is found that the general increase of covariance amplitudes for τ ? 0 (if it occurs) is mainly due to the forcing, but triple covariances of mountain torque and vorticity advection are important as well. A new covariance energy equation is derived to demonstrate that the frictional decay for τ > 0 is supported by these triple covariances while the stationary wave acts as a source for τ > 0. A dynamical interpretation of the triple terms is given. Next, data from the ECMWF 40-yr Re-Analysis (ERA-40) set are used to study mountain torque events in winter near Greenland, where the covariances of all standard variables with the torque P exhibit a rapid quasi-barotropic increase with τ ? 0 near Greenland. This amplification process is investigated by looking at the barotropic vorticity equation adapted to this statistical problem. This equation captures the evolution of the regression patterns reasonably well in the range ?2 ≤ τ ≤ 2 days. The triple covariances of torque and nonlinear vorticity advection play the key role in the amplification process. In particular, covariance enstrophy is generated and destroyed by these terms, a process without counterpart in the standard vorticity equation. Stochastic forcing is presumably unimportant. The interpretation of the triple terms is difficult in contrast to that of the other ?linear? terms of the vorticity equation. The angular momentum in the Greenland domain decreases during events of positive torque.
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      Dynamics of Atmospheric Regression Patterns: Regional Mountain Torque Events

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    contributor authorEgger, Joseph
    contributor authorHoinka, Klaus-Peter
    date accessioned2017-06-09T16:52:54Z
    date available2017-06-09T16:52:54Z
    date copyright2006/05/01
    date issued2006
    identifier issn0022-4928
    identifier otherams-75880.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4218264
    description abstractThe regression of atmospheric fields against a parameter P with lag τ is a standard procedure in meteorology. Here, the torque exerted by a mountain massif is chosen as a parameter in order to study the interaction of weather systems with orography on a statistical basis. It is normally found that the amplitudes of the correlation patterns increase with τ ? 0 and decrease for increasing positive lag. It is proposed to explain this ubiquitous feature in the orographic case on the basis of the covariance equations that govern these regressions. Two examples are discussed. First, a version of the low-order Charney?DeVore model of ?-plane flow over a mountain is considered where stochastic forcing stirs a Rossby wave mode. It is found that the general increase of covariance amplitudes for τ ? 0 (if it occurs) is mainly due to the forcing, but triple covariances of mountain torque and vorticity advection are important as well. A new covariance energy equation is derived to demonstrate that the frictional decay for τ > 0 is supported by these triple covariances while the stationary wave acts as a source for τ > 0. A dynamical interpretation of the triple terms is given. Next, data from the ECMWF 40-yr Re-Analysis (ERA-40) set are used to study mountain torque events in winter near Greenland, where the covariances of all standard variables with the torque P exhibit a rapid quasi-barotropic increase with τ ? 0 near Greenland. This amplification process is investigated by looking at the barotropic vorticity equation adapted to this statistical problem. This equation captures the evolution of the regression patterns reasonably well in the range ?2 ≤ τ ≤ 2 days. The triple covariances of torque and nonlinear vorticity advection play the key role in the amplification process. In particular, covariance enstrophy is generated and destroyed by these terms, a process without counterpart in the standard vorticity equation. Stochastic forcing is presumably unimportant. The interpretation of the triple terms is difficult in contrast to that of the other ?linear? terms of the vorticity equation. The angular momentum in the Greenland domain decreases during events of positive torque.
    publisherAmerican Meteorological Society
    titleDynamics of Atmospheric Regression Patterns: Regional Mountain Torque Events
    typeJournal Paper
    journal volume63
    journal issue5
    journal titleJournal of the Atmospheric Sciences
    identifier doi10.1175/JAS3694.1
    journal fristpage1467
    journal lastpage1482
    treeJournal of the Atmospheric Sciences:;2006:;Volume( 063 ):;issue: 005
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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