Parametric statistical analysis of the aerosol micropulse lidar data

Igor Alexandrov Razenkov; Hyungki Cha; Dukhyeon Kim; Nadezhda Andreyevna Shefer

doi:10.1117/12.411959

29 December 2000 Parametric statistical analysis of the aerosol micropulse lidar data

Igor Alexandrov Razenkov, Hyungki Cha, Dukhyeon Kim, Nadezhda Andreyevna Shefer

Proceedings Volume 4341, Seventh International Symposium on Atmospheric and Ocean Optics; (2000) https://doi.org/10.1117/12.411959
Event: 7th International Symposium on Atmospheric and Ocean Optics, 2000, Tomsk, Russian Federation

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.

Citation Download Citation

Igor Alexandrov Razenkov, Hyungki Cha, Dukhyeon Kim, and Nadezhda Andreyevna Shefer "Parametric statistical analysis of the aerosol micropulse lidar data", Proc. SPIE 4341, Seventh International Symposium on Atmospheric and Ocean Optics, (29 December 2000); https://doi.org/10.1117/12.411959

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