Hw. Barker et al., A PARAMETERIZATION FOR COMPUTING GRID-AVERAGED SOLAR FLUXES FOR INHOMOGENEOUS MARINE BOUNDARY-LAYER CLOUDS .2. VALIDATION USING SATELLITE DATA, Journal of the atmospheric sciences, 53(16), 1996, pp. 2304-2316
The independent pixel approximation (IPA) is one of the simplest metho
ds of computing solar radiative fluxes for inhomogeneous clouds. It cl
aims that if p(tau) is a normalized probability density function for c
loud optical depth tau and R(pp)(tau) is plane-parallel, homogeneous (
PPH) albedo, mean cloud albedo can be approximated by integrating p(ta
u)R(pp)(tau) over all tau. The purpose of this study is to assess the
ability of the gamma distribution function to represent p(tau) for mar
ine boundary layer clouds and to examine the accuracy of the ensuing g
amma IPA albedos. In a separate study, pixel values of tau were inferr
ed from high spatial resolution Landsat imagery of marine boundary lay
er clouds. The present study utilizes 45 images, each measuring (58 km
)(2). For each image, a density function p(obs)(tau) is estimated, and
, using the mean <(tau)over bar> and variance of tau, a corresponding
truncated gamma distribution function p(gamma)(tau) is defined. For a
diverse range of clouds, p(gamma)(tau) usually approximate p(obs)(tau)
well. The best results are for overcast stratocumulus and small, brok
en cumulus, while the worst results are for streets of moderately thic
k cumulus observed at relatively large solar zenith angles. After both
p(obs)(tau) and corresponding p(gamma)(tau) are filtered through the
IPA; however, resulting solar zenith angle dependent and spherical alb
edos often agree to well within 5%, regardless of cloud type. Furtherm
ore, disparities between IPA albedos using p(obs)(7) and p(gamma)(tau)
are roughly 10 times smaller than disparities between IPA albedos usi
ng p(obs)(tau) and corresponding PPH albedos [R(pp)(<(tau)over bar>)].
Thus, for marine boundary layer clouds, the gamma IPA can be expected
to remove most of the PPH bias currently present in GCMs. A simple pa
rameterization, dependent on cloud fraction, is furnished that may ena
ble the gamma IPA to be used in GCMs.