Vol. 7, issue 02, article # 12

Komarov V. S., Akselevich V. I., Kreminskii A. V. Modified method of clustering of arguments as an efficient technique for statistical estimate of the characteristics of the free atmosphere under conditions of information deficit. // Atmospheric and oceanic optics. 1994. V. 7. No. 02. P. 121-124.    PDF
Copy the reference to clipboard

Abstract:

Feasibility of and prospects for the modified method of clustering of arguments (MMCA) are discussed as applied to the problems of forecasting (retrieving) the vertical profiles of temperature and the zonal and meridional components of wind velocity in the free atmosphere from the data obtained at lower levels, with no experimental data on the forecasted parameters. Examples show the advantages and efficiency of such an approach, which significantly extends the range of its application to the problems of atmospheric sounding, including lidar sensing techniques.