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Proceedings Paper

Calibrated Analytical Modeling Of Cloud-Free Intervals
Author(s): John D. Malick; Stephen Zakanycz
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Paper 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.

Paper Details

Date Published: 19 December 1979
PDF: 6 pages
Proc. SPIE 0195, Atmospheric Effects on Radiative Transfer, (19 December 1979); doi: 10.1117/12.957940
Show Author Affiliations
John D. Malick, SRI International (United States)
Stephen Zakanycz, DAR PA/STO (United States)

Published in SPIE Proceedings Vol. 0195:
Atmospheric Effects on Radiative Transfer
Claus B. Ludwig, Editor(s)

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