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Using similarity theory to parameterize mesoscale heat fluxes generated by subgrid-scale landscape discontinuities in GCMs

Journal Article · · Journal of Climate
;  [1];  [2]
  1. Rutgers Univ., New Brunswick, NJ (United States)
  2. Hughes, STX, New York, NY (United States)
Similarity theory was used to develop a parameterization of mesoscale heat fluxes induced by landscape discontinuities for large-scale atmospheric models (e.g., general circulation models). For this purpose, Buckingham Pi theory, a systematic method for performing dimensional analysis, was used to derive a set of dimensionless groups, which describes the large-scale atmospheric background conditions, the spatial variability of surface sensible heat flux, and the characteristic structure of the landscape. These dimensionless groups were used to calculate the coefficients of a fourth-order Chebyshev polynomial, which represents the vertical profiles of dimensionless mesoscale heat fluxes obtained for a broad range of large-scale atmospheric conditions and different landscapes. The numerous three-dimensional numerical experiments performed to evaluate this similarity relationship suggest that the parameterization is quite robust. 42 refs., 13 figs., 8 tabs.
OSTI ID:
81173
Journal Information:
Journal of Climate, Journal Name: Journal of Climate Journal Issue: 4 Vol. 8; ISSN 0894-8755; ISSN JLCLEL
Country of Publication:
United States
Language:
English

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