General circulation models (GCMs) are widely used for global weather forecasting and climate modeling. In a GCM, the convective parameterization, which represents the bulk effects of convection, is typically regarded as a large source of model uncertainty (Arakawa, 2004;Rybka & Tost, 2014;Tost et al., 2006). Cumulus convection interacts with other processes in complex ways. Heat and moisture are pumped out of the planetary boundary layer (PBL) by subgrid-scale cumulus cells in response to surface solar heating. Detrainment and/or re-evaporation from convective condensate and precipitation moisten the grid-scale environment, favoring large-scale condensation. Convective parameterizations also strongly regulate the partition of convective and large-scale precipitation over the tropics with resultant effects on clouds and tropical transients (Kim et al., 2012;Lin et al., 2013). The interdependency between subgrid-and grid-scale processes further influences the hydrological processes, cloud types, and thus cloud radiative forcing and its feedback (Arakawa, 2004;Hourdin et al., 2006).Apart from the mean states, the impact of convective parameterization on tropical variabilities has also been reported in some previous studies (