Abstract Clouds are the primary source of uncertainty in prediction climate change. To reduce cloud simulations and overcome this difficulty prediction, many modeling centers now developing a new type model, global nonhydrostatic atmospheric which reduces arising from cumulus parameterization by computing clouds explicitly using microphysics scheme. Among models used recent intercomparison stud...
