  Using a general circulation model with newly implemented cloud modeling, we
investigate how radiative feedback can self-consistently shape condensate cloud
distributions, temperatures, and fluxes in a hot Jupiter atmosphere. We apply a
physically motivated but simple parameterization of condensate clouds in which
the temperature determines the cloud distribution, and we evaluate how
different assumptions of vertical mixing and aerosol scattering parameters
affect predictions. We compare results from cases in which the aerosols are
simply included in the last step of the simulation (i.e. post-processed) to
cases in which clouds and their radiative feedback are actively included
throughout the duration of the simulation. When clouds and radiative feedback
were actively included, cloud cover decreased at equatorial regions and
increased towards the poles relative to the post-processed solutions. The
resulting phase curves also differed between the two approaches; the
post-processed cloud simulations predicted weaker day-night contrasts in
emission and greater eastward shifts in the maximum emission compared to the
active cloud modeling. This illustrates the importance of cloud radiative
feedback and shows that post-processing will provide inaccurate solutions when
clouds are thick enough to provide significant scattering.
