Paper
23 December 1994 Determination of soot-like component presence from brightness spectra measurements of a cloud layer: design of cloud brightness model by means of intraclouds phase function measurements
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Abstract
Clouds play an important role in forming the atmospheric radiation budget and are a specific factor for transformation of aerosol components. Cloud composition should be correctly enough taken into account to predict operatively the light propagation trough clouds. This matter is especially of high priority near the sources of industrial pollutions. Cloud microstructure would be the most variable quantity here, because of highly-disperse soot components ingress into clouds. Such components can influence greatly on spectral absorption and reflection characteristics of cloud cover and effect globally on climate. The consistent physical approach to predict the light propagation trough clouds requires the radiative model of clouds should include a complete set of the specific optical characteristics that, according to the radiative transfer equation, are sufficient to simulate the spectral absorption and reflection of cloud cover. Different approaches can be used to determine the above specific characteristics. The most promising one is appeared to be based on the retrieval of these quantities by airborne intercloud measurements of rather a narrow set of cloud light-scattering characteristics. The main object of this report is to investigate the method for solving an inverse problem of light scattering to design a radiative model of liquid-drops clouds comprising soot components. The investigation is carried out within the scope of mathematical simulation.
© (1994) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Sergey Oshchepkov, Tatjana Lapyonok, and Oleg Dubovik "Determination of soot-like component presence from brightness spectra measurements of a cloud layer: design of cloud brightness model by means of intraclouds phase function measurements", Proc. SPIE 2309, Passive Infrared Remote Sensing of Clouds and the Atmosphere II, (23 December 1994); https://doi.org/10.1117/12.196680
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KEYWORDS
Clouds

Particles

Inverse optics

Scattering

Atmospheric modeling

Inverse problems

Phase measurement

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