Thursday, 13 January 2000: 9:45 AM
To develop a parameterization of shallow convective clouds and precipitation induced by land-surface processes in GCMs, a set of simulations was performed with a high-resolution 3D atmospheric model. Similarity theory together with Buckingham Pi Theory, 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 Chebyshev polynomial, which represents the self similar vertical profiles of dimensionless mesoscale heat fluxes obtained for a broad range of large-scale atmospheric conditions and different landscapes. Observations collected during GCIP and the LBA Experiment in Amazonia suggest that the parameterization provides reasonable results.
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