Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

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Record number 503807
Title Subgrid modeling in two-dimensional turbulent flow using the principle of maximum entropy
Author(s) Wim, Verkley; Kalverla, P.C.; Camiel, Severijns
Event EGU General Assembly 2016, Vienna, 2016-04-17/2016-05-22
Department(s) Meteorology and Air Quality
Publication type Abstract in scientific journal or proceedings
Publication year 2016
Abstract We consider the problem of parameterization of subgrid processes in the context of two-dimensional incompressible
fluid flow on a doubly periodic domain. In this idealized context we address the question how the small scales
of a high-resolution reference simulation can be parameterized in a low-resolution model aimed at reproducing
the reference simulation. The basis of the parameterization that we propose is a probability density function of
the small, unresolved, scales that has maximum information entropy, constrained by normalization and averaged
budgets of energy and enstrophy.
Due to the generality of the constraints, the parameterization that results is completely fixed in terms of
the parameters of the reference model. The advantage is that the parameterization needs not to be tuned and
automatically adjusts itself to any change in the parameters of the reference model. To assess its merits in
practice, it has been tested with regard to short-term performance in reproducing vorticity fields and with regard
to long-term performance in reproducing the statistics of energy and enstrophy. In both respects the proposed
parameterization outperforms conventional parameterizations such as eddy viscosity.
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