Statistics – Computation
Scientific paper
Dec 1993
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1993angeo..11.1095r&link_type=abstract
Annales Geophysicae (ISSN 0992-7689), vol. 11, no. 11/12, p. 1095-1115
Statistics
Computation
37
Atmospheric General Circulation Models, Atmospheric Moisture, Atmospheric Turbulence, Cloud Cover, Computational Grids, Parameterization, Statistical Analysis, Water Vapor
Scientific paper
We have designed a diagnostic subgrid scale cloud scheme that brings some coherence to the various representations of clouds within the general circulation models (GCM). It takes into account interactions between cloud fraction coverage, liquid water content and turbulence (for stratiform clouds). The scheme has been developed on the basis of a statistical cloud scheme and a level 2 subgrid scale turbulence scheme (Yamada and Mellor) in which we introduce the effects of water vapor and liquid water. The scheme has been implemented in the T42-20 level version of the French spectral GCM used for climate studies. Simultaneously, large-scale precipitation has been modified according to Smith's scheme (with different parameterizations for liquid and ice water). The GCM has been run with and without the new parameterizations. We have studied the impact of the implementation of two new parameterizations on the results of the French Emeraude GCM in January. The model simulations are validated with satellite data from the earth radiation budget (ERB) experiment (total cloudiness field) and from the Earth Radiation Budget Experiment (ERBE) experiment (visible and IR radiation fields at the top of the atmosphere).
Ricard J. L.
Royer J. F.
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