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16 February 2004 Statistical models of aerosols and polar stratospheric clouds (PSC) for remote sensing
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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.
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Yuriy M. Timofeyev, Alexandr V. Polyakov, Yana A. Virolainen, Vladimir S. Kostsov, Helen M. Steele, Michael J. Newchurch, and Katja Drdla "Statistical models of aerosols and polar stratospheric clouds (PSC) for remote sensing", Proc. SPIE 5235, Remote Sensing of Clouds and the Atmosphere VIII, (16 February 2004); https://doi.org/10.1117/12.512271
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