Paper
19 December 1979 Calibrated Analytical Modeling Of Cloud-Free Intervals
John D. Malick, Stephen Zakanycz
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Abstract
A methodology has been developed for calculating the probability of cloud-free intervals of any size from conventional meteorological data. The methodology contains two important features. First, the probability calculations are done analytically. Previous cloud-free line-of-sight models were largely empirical, and putting them on an analytic basis has removed some inconsistencies caused by observer biases. An additional benefit was the quantification of the relationship between ground-observed sky cover and cloud amount observed from a satellite. Secondly, the notion of cloud-free line of sight (CFLOS) has been generalized to the much more useful cloud-free interval, which includes cloud-tree line of sight as a special case. The methodology can be used to calculate the probability of a cloud-free interval of various lengths within a straight line path of any length. The probabilities can be obtained for any time, season, geographic region, observation angle, or cloud altitude layer. Model parameters have been determined with the use of NOAA digital satellite imagery.
© (1979) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
John D. Malick and Stephen Zakanycz "Calibrated Analytical Modeling Of Cloud-Free Intervals", Proc. SPIE 0195, Atmospheric Effects on Radiative Transfer, (19 December 1979); https://doi.org/10.1117/12.957940
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Cited by 4 scholarly publications.
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KEYWORDS
Clouds

Data modeling

Atmospheric modeling

Satellites

Earth observing sensors

Infrared radiation

Radiative transfer

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