A Cloud Resolving Model (CRM) serves as a valuable tool for providing realistic information about tropical clouds that are closely connected with global climate. In this study, budget analysis was experimented at different horizontal resolution maintaining radiative-convective equilibrium state by using the Goddard Cumulus Ensemble (GCE) model developed by NASA.

Condensation and evaporation are major processes that affect the budgets dominantly at different horizontal resolution. Lower resolution (order of 10 km) shows fewer budgets resulting from the reduced water vapor in the mid-troposphere. That is because of the less frequent extreme updraft or downdraft, which suppresses the growth of convective clouds. Besides, in the lower resolution model the rain water or graupel is scarcely formed which is related to the lack of accretion process. Applying sub-grid variability especially to the condensation process can be expected to reduce the difference of budgets between the lower and higher resolution.

This study is an idealized research to verify the performance of cloud microphysics based on the CRM whose horizontal resolution is analogous to a high resolution General Circulation Model (GCM) (order of 10~20 km). The optimal parameterization for GCM can be implemented from this budget analysis, which is aimed at the representation of cloud microphysics suitable for the high resolution climate model.