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Basis Functions

The Galerkin vertical representation of temperature in terms of basis functions tex2html_wrap_inline1935 is:

  equation888

where tex2html_wrap_inline1937 are coefficients of the expansion in p chosen to minimize square error under an inner product tex2html_wrap_inline1941 that is just a weighted pressure average. We split off a reference profile tex2html_wrap_inline1943 that does not vary in space because this can be specified or treated in a separate calculation--only gradients of T affect the circulation. Note that tex2html_wrap_inline1943 is not assumed to be a solution of the system, and that the spatial average of the model output differs from tex2html_wrap_inline1943 .

The first trick that aids both numerics and interpretation is that basis functions for the wind fields are constructed from approximate analytic solutions. Consider the leading temperature basis function, tex2html_wrap_inline1951 . Temporarily neglecting tex2html_wrap_inline1953 and advection by baroclinic wind, the solution to the momentum equation (gif) for circulations driven by this baroclinic pressure gradient, satisfying simple lower and upper boundary conditions, has the form

  eqnarray894

Using such analytically constructed basis functions to derive nonlinear Galerkin equations can be highly accurate at low truncation, and provides a physical association of tex2html_wrap_inline1955 and T components.

The approach (gif)-(gif) could be used generally but larger gains occur when the temperature variations that are typically encountered are restricted by convection. In our approach, we tailor the temperature basis functions to typical quasi-equilibrium profiles. One of the main effects of convection on the large scales is to constrain the vertical temperature profile through the depth of the convecting region--highly unstable profiles with large convective available potential energy tend to be modified by convection (e.g., Xu and Emanuel 1989; Randall and Wang 1992). For many convection schemes one can explicitly or implicitly define, for a given set of large scale variables, a quasi-equilibrium temperature profile towards which convection brings the large scale temperature (e.g., Manabe et al 1965; Arakawa and Schubert 1974; Betts 1986). Thus the variations in quasi-equilibrium temperature profile can be efficiently expressed in the form (gif) but with only N coefficients tex2html_wrap_inline1961 , where tex2html_wrap_inline1963 is small. The coefficients tex2html_wrap_inline1965 depend on the large scale T and q variables. If tex2html_wrap_inline1971 is typical of temperature variations near deep convective regions, associated velocity variations will be largely carried in tex2html_wrap_inline1973 . Similarly for shallow convection, and so on.


next up previous contents
Next: The Simplest QTCM Up: QTCM Approach Previous: QTCM Approach

Johnny Wei-Bing Lin
Thu Sep 9 13:11:12 PDT 1999