Dj. Gaffen et al., EVALUATION OF TROPOSPHERIC WATER-VAPOR SIMULATIONS FROM THE ATMOSPHERIC MODEL INTERCOMPARISON PROJECT, Journal of climate, 10(7), 1997, pp. 1648-1661
Simulations of humidity from 28 general circulation models for the per
iod 1979-88 from the Atmospheric Model Intercomparison Project are com
pared with observations from radiosondes over North America and the gl
obe and with satellite microwave observations over the Pacific basin.
The simulations of decadal mean values of precipitable water (W) integ
rated over each of these regions tend to be less moist than the real a
tmosphere in all three cases; the median model values are approximatel
y 5% less than the observed values. The spread among the simulations i
s larger over regions of high terrain, which suggests that differences
in methods of resolving topographic features are important. The mean
elevation of the North American continent is substantially higher in t
he models than is observed, which may contribute to the overall dry bi
as of the models over that area. The authors do not find a clear assoc
iation between the mean topography of a model and its mean W simulatio
n, however, which suggests that the bias over land is not purely a mat
ter of orography. The seasonal cycle of W is reasonably well simulated
by the models, although over North America they have a tendency to be
come moister more quickly in the spring than is observed. The interann
ual component of the variability of W is nor well captured by the mode
ls over North America. Globally, the simulated W values show a signal
correlated with the Southern Oscillation index but the observations do
not. This discrepancy may be related to deficiencies in the radiosond
e network, which does not sample the tropical ocean regions well. Over
all, the interannual variability of W as well as its climatology and m
ean seasonal cycle, are better described by the median of the 28 simul
ations than by individual members of the ensemble. Tests to learn whet
her simulated precipitable water, evaporation, and precipitation value
s may be related to aspects of model formulation yield few clear signa
ls, although the authors find, for example, a tendency for the few mod
els that predict boundary layer depth to have large values of evaporat
ion and precipitation. Controlled experiments, in which aspects of mod
el architecture are systematically varied within individual models, ma
y be necessary to elucidate whether and how model characteristics infl
uence simulations.