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Proceedings Paper

Parametric statistical analysis of the aerosol micropulse lidar data
Author(s): Igor Alexandrov Razenkov; Hyungki Cha; Dukhyeon Kim; Nadezhda Andreyevna Shefer
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Paper Abstract

In the paper it is proposed to make a spatial-time analysis of aerosol micro pulse lidar data by a parametric statistical approach based on a mixed model of 'auto-regressive-moving average' (ARMA). The given approach allows obtain the spectral estimations of auto- and cross-spectra with high frequency resolution using short time series of data. The determination of parameters of the ARMA model has been made on a scheme of two-channel spectral estimation by the Nuttall-Strand method. The examples of obtaining an additional information data on dynamics of aerosol inhomogeneities from real micro pulse lidar are presented.

Paper Details

Date Published: 29 December 2000
PDF: 6 pages
Proc. SPIE 4341, Seventh International Symposium on Atmospheric and Ocean Optics, (29 December 2000); doi: 10.1117/12.411959
Show Author Affiliations
Igor Alexandrov Razenkov, Institute of Atmospheric Optics (Russia)
Hyungki Cha, Korea Atomic Energy Research Institute (South Korea)
Dukhyeon Kim, Korea Atomic Energy Research Institute (South Korea)
Nadezhda Andreyevna Shefer, Institute of Atmospheric Optics (Russia)

Published in SPIE Proceedings Vol. 4341:
Seventh International Symposium on Atmospheric and Ocean Optics
Gennadii G. Matvienko; Mikhail V. Panchenko, Editor(s)

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