Paper
16 February 2004 Statistical models of aerosols and polar stratospheric clouds (PSC) for remote sensing
Yuriy M. Timofeyev, Alexandr V. Polyakov, Yana A. Virolainen, Vladimir S. Kostsov, Helen M. Steele, Michael J. Newchurch, Katja Drdla
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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.
© (2004) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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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KEYWORDS
Aerosols

Atmospheric modeling

Scattering

Statistical analysis

Atmospheric particles

Clouds

Inverse optics

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