The effects of aerosols on the optical properties of water clouds (so-
called indirect aerosol effects) are a major current source of uncerta
inty in the radiative forcing of climate change, Uncertainty in the in
direct radiative forcing by anthropogenic sulfate aerosols is analyzed
for five different model structures with 20 input uncertain parameter
s using the probabilistic collocation method, The structural uncertain
ty, measuring the range of the mean responses in different models, is
1.2 to -1.7 W m(-2); and the parametric uncertainty, induced by the un
certainties in the input model parameters, is -0.1 to -5.2 W m(-2) wit
h 95% confidence, This implies that refining the input parameters may
be more important than improving models in order to minimize the uncer
tainty in the indirect radiative forcing by anthropogenic sulfate aero
sols using these five models, The rankings of sensitivity to and varia
nce contribution by the 20 uncertain parameters shows very different p
atterns, The variance analysis indicates that the parametric uncertain
ty comes mainly from aerosol size parameters and atmospheric transmitt
ance, indicating the importance of developing size-resolved global aer
osol models, Although the conclusions reached here are subject to the
choice of model structures and uncertain parameter distributions, this
study introduces a useful framework for computing uncertainty in a cr
itical climate issue.