Photon transport in plane-parallel, vertically inhomogeneous clouds is inve
stigated and applied to cloud remote sensing techniques that use solar refl
ectance or transmittance measurements for retrieving droplet effective radi
us. Transport is couched in terms of weighting functions which approximate
the relative contribution of individual layers to the overall retrieval. Tw
o vertical weightings are investigated, including one based on the average
number of scatterings encountered by reflected and transmitted photons in a
ny given layer. A simpler vertical weighting, based on the maximum penetrat
ion of reflected photons, proves useful for solar reflectance measurements.
These weighting functions are highly dependent on droplet absorption and s
olar/viewing geometry. A superposition technique, using adding/doubling rad
iative transfer procedures, is used to accurately determine both weightings
, avoiding time-consuming Monte Carlo methods. Effective radius retrievals
from modeled vertically structured liquid water clouds are then made using
the standard near-infrared bands and compared with size estimates based on
the proposed weighting functions. Agreement between the two methods is gene
rally within several tenths of a micrometer, much better than expected retr
ieval accuracy. Though the emphasis is on photon transport in clouds, the d
erived weightings can be applied to any multiple-scattering plane-parallel
radiative transfer problem, including arbitrary combinations of cloud, aero
sol, and gas layers.