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Proceedings Paper

Statistical models of aerosols and polar stratospheric clouds (PSC) for remote sensing
Author(s): Yuriy M. Timofeyev; Alexandr V. Polyakov; Yana A. Virolainen; Vladimir S. Kostsov; Helen M. Steele; Michael J. Newchurch; Katja Drdla
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Paper Abstract

Algorithms to simulate the statistical microphysical and optical models for aerosol and polar stratospheric cloud (PSC) are described. Examples of such models for stratospheric and tropospheric aerosols and PSC are given. Different ways of applying the statistical aerosol and cloud models are discussed: - optimal parameterization of spectral dependences of aerosol extinction coefficient using the natural orthogonal basis; - multiple regression for estimating the optical parameter from measured one (for example, estimation of scattering coefficients from SAGE III multiwavelength measurements of aerosol extinction coefficients); - retrieval of microphysical properties of stratospheric aerosol and PSC from SAGE III extinction measurements; - lidar sounding.

Paper Details

Date Published: 16 February 2004
PDF: 10 pages
Proc. SPIE 5235, Remote Sensing of Clouds and the Atmosphere VIII, (16 February 2004); doi: 10.1117/12.512271
Show Author Affiliations
Yuriy M. Timofeyev, St. Petersburg State Univ. (Russia)
Alexandr V. Polyakov, St. Petersburg State Univ. (Russia)
Yana A. Virolainen, St. Petersburg State Univ. (Russia)
Vladimir S. Kostsov, St. Petersburg State Univ. (Russia)
Helen M. Steele, California State Univ. (United States)
Michael J. Newchurch, Univ. of Alabama in Huntsville (United States)
Katja Drdla, NASA Ames Research Ctr. (United States)

Published in SPIE Proceedings Vol. 5235:
Remote Sensing of Clouds and the Atmosphere VIII
Klaus P. Schaefer; Adolfo Comeron; Michel R. Carleer; Richard H. Picard, Editor(s)

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