2019•Известия Российской академии наук Физика атмосферы и океанаOpen access

Dynamical-stochastically parametrization of cloudiness in the atmospheric general circulation model

V. Ya. Galin, Valentin Dymnikov

Abstract

In the paper dynamical-stochastically method of the non-convective cloudiness parameterization in the general circulation model is formulated. This algorithms is evaluated on the basis of general circulation model with given see surface temperature of oceans. The results of calculations were compared with observational data and the results simulations with sophisticated couple GCM full filled in frame of CMIP5 program. These results showed the perspectives of suggested dynamical-stochastically approach.

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Key concepts: Parametrization (atmospheric modeling), General Circulation Model, Circulation (fluid dynamics), GCM transcription factors, Atmospheric circulation, Climatology, Convection, Frame (networking)