Ramaswamy, V., and S. M. Freidenreich, 1991: Solar radiative line-by-line
determination of water vapor absorption and water cloud extinction in inhomogeneous
atmospheres. Journal of Geophysical Research, 96(D5),
9133-9157.
Abstract: The complete available spectral features (line-by-line,
or LBL) of the water vapor molecule in the solar spectrum and a precise
treatment of particulate scattering are employed to obtain and analyze
the solar radiative fluxes and heating rates in plane-parallel, vertically
inhomogeneous model atmospheres containing vapor only, water cloud only,
and vapor-plus-cloud present simultaneously. These studies are part of
the Intercomparison of Radiation Codes in Climate Models (ICRCCM) project
and constitute useful benchmark computations against which results from
simpler radiation algorithms can be compared. The "exact" solution
of the radiative transfer equation for cloudy atmospheres with the cloud
in a single model layer consumes an exorbitant amount of computational
resources (~ 100 hours on a Cyber 205). Two other techniques that are considerably
more economical are also investigated. These techniques, too, are based
on the LBL spectral features of the H2O
molecule but consist of an approximation in either the vapor optical depth
or in the multiple-scattering process. The technique involving the "binning"
of the vapor optical depths yields extremely accurate fluxes and heating
rates for both the vapor and vapor-plus-cloud cases; in particular, it
is a practical alternative for obtaining benchmark solutions to the solar
radiative transfer in overcast atmospheres (3.8 hours). In contrast, the
multiple-scattering approximation technique does not yield precise results;
however, considering its computational efficiency (0.5 hours), it offers
a rapid means to obtain a first-order approximation of the spectrally integrated
quantities. The analyses of the alternate techniques suggest their potential
use for high spectral resolution sensitivity studies of the radiative effects
due to various types of clouds.