FIRST GEOMETRICAL PATHLENGTHS PROBABILITY DENSITY-FUNCTION DERIVATIONOF THE SKYLIGHT FROM SPECTROSCOPICALLY HIGHLY RESOLVING OXYGEN A-BANDOBSERVATIONS - 1 - MEASUREMENT TECHNIQUE, ATMOSPHERIC OBSERVATIONS AND MODEL-CALCULATIONS

Citation
K. Pfeilsticker et al., FIRST GEOMETRICAL PATHLENGTHS PROBABILITY DENSITY-FUNCTION DERIVATIONOF THE SKYLIGHT FROM SPECTROSCOPICALLY HIGHLY RESOLVING OXYGEN A-BANDOBSERVATIONS - 1 - MEASUREMENT TECHNIQUE, ATMOSPHERIC OBSERVATIONS AND MODEL-CALCULATIONS, J GEO RES-A, 103(D10), 1998, pp. 11483-11504
Citations number
46
Categorie Soggetti
Metereology & Atmospheric Sciences","Geosciences, Interdisciplinary","Astronomy & Astrophysics",Oceanografhy,"Geochemitry & Geophysics
Volume
103
Issue
D10
Year of publication
1998
Pages
11483 - 11504
Database
ISI
SICI code
Abstract
First measurements of the probability density function of geometrical pathlengths (PDF-GP) for the skylight transmitted from clear and cloud y skies to the terrestrial surface are reported. The measurements are performed using a novel technique, which includes spectroscopically hi ghly resolving observations of the O-2 A-band (760-780 nm) and a Lapla cian back transformation of the intensity ratios measured for the set of individual O-2 A-band rotational absorption lines. The technique pr ovides a new and powerful tool to study the radiative transfer (RT) of the atmosphere for different kinds of atmospheric aerosol loadings an d cloudiness. First measurements show, as expected, that the photons t ransmitted by clouds to ground generally experience longer geometrical paths inside the cloud than expected for a corresponding clear sky co ndition. The comparison of the measured oxygen A-band absorption syste m with plane-parallel discrete ordinate radiative transfer (DISORT) mo del calculations shows a reasonable agreement for direct Sun and clear sky zenith observations. For cloudy sky the same comparison shows a g ood agreement between the observed and the modeled weak absorption Lin es but systematically larger observed than modeled optical densities f or strong absorption lines. Our data also suggest that this significan t discrepancy is most likely caused by shortcomings in the physical de scription of the RT by nonstatistical models, which do not properly ac count for the fractal nature of the terrestrial cloud cover. In partic ular our study reveals that the photon path statistics involved with t he multiple Mie scattering inside clouds is not properly modeled using the DISORT code. Closing this gap in our understanding of the cloud s ky RT may possibly provide much of the explanation for the frequently lower modeled than measured cloudy sky absorption of the solar radiati on.