A global atmospheric general circulation model (GCM) coupled with a bi
osphere model (SSiB, simplified simple biosphere model) was used to st
udy the impact of vegetation on simulations over the United States dur
ing summer. Ensembles of 90-d integrations were performed from early J
une initial conditions with different vegetation maps and different bi
ophysical characteristics. Monthly and seasonal mean differences among
these ensembles were analyzed. Incorporation of a new SiB vegetation
map produced from the latest available data by the U.S. Geological Sur
vey's EROS (Earth Resources Observation Systems) Data Center has a sig
nificant impact on monthly and seasonal simulations of evaporation, su
rface air temperature, and precipitation over some regions of the Unit
ed States. The impact is greater over the western half of the United S
tates than over the eastern half, where moisture convergence prays a s
tronger role in the hydrological cycle. Systematic errors in the model
simulations appear to be related to the use of a single crop vegetati
on type in SiB (simple biosphere model). Replacing the crops over the
United States with broadleaf deciduous trees reduces the systematic er
rors. It appears that the strong seasonality of the SiB crop vegetatio
n type makes it an unsuitable representative for crops in general. The
importance of vegetation specification in monthly and seasonal predic
tions is emphasized.