Funding: Internal LDRD, Argonne National Laboratory.
Synopsis: Cloud processes in global climate models (GCMs) are highly parameterized and often tuned to obtain the Earth’s radiative balance and global mean temperature. As a result, clouds constitute the single-largest uncertainty in terms of radiative forcings and climate feedbacks. Improving the cloud processes and especially interactions with aerosols in high-resolution climate models is definitely a priority for the coming decade.
Online calibration results
Cloud convection ()
Configure & build PETSc with debug options (pgi on the Fusion machine):
git clone firstname.lastname@example.org:petsc/petsc.git petsc-dev
PETSC_DIR=%path to petsc%
make PETSC_DIR=$PWD PETSC_ARCH=arch-linux2-c-debug all test