A series of sensitivity experiments are conducted in an attempt to und
erstand and correct deficiencies in the simulation of the seasonal mea
n Indian monsoon with a global atmospheric general circulation model.
The seasonal mean precipitation is less than half that observed. This
poor simulation in seasonal integrations is independent of the choice
of initial conditions and global sea surface temperature data used. Ex
periments are performed to test the sensitivity of the Indian monsoon
simulation to changes in orography, vegetation, soil wetness, and clou
diness. The authors find that the deficiency of the model precipitatio
n simulation may be attributed to the use of an enhanced orography in
the integrations. Replacement of this orography with a mean orography
results in a much more realistic simulation of Indian monsoon circulat
ion and rainfall. Experiments with a linear primitive equation model o
n the sphere suggest that this striking improvement is due to modulati
ons of the orographically forced waves in the lower troposphere. This
improvement in the monsoon simulation is due to the kinematic and dyna
mical effects of changing the topography, rather than the thermal effe
cts, which were minimal. The magnitude of the impact on the Indian mon
soon of the other sensitivity experiments varied considerably, but was
consistently less than the impact of using the mean orography. Howeve
r, results from the soil moisture sensitivity experiments suggest a po
ssibly important role for soil moisture in simulating tropical precipi
tation, including that associated with the Indian monsoon.