ISSN 2070-7401 (Print), ISSN 2411-0280 (Online)
Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa


Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2018, Vol. 15, No. 7, pp. 24-31

Methods and algorithms for retrieving the characteristics of atmospheric internal waves from satellite data and results of aerologic sensing

A.V. Skorokhodov 1 , K.V. Kuryanovich 1, 2 
1 V.E. Zuev Institute of Atmospheric Optics SB RAS, Tomsk, Russia
2 Tomsk State University of Control Systems and Radioelectronics, Tomsk, Russia
Accepted: 12.10.2018
DOI: 10.21046/2070-7401-2018-15-7-24-31
Methods and algorithms for retrieving the characteristics of atmospheric internal waves and their signatures based on complex application of Earth remote sensing data and results of aerologic measurements are proposed. It is noteworthy that we consider the geometric indices of cloud manifestations of wave processes and immediately their physical parameters. The former are retrieved using only satellite-based images, obtained in the visible spectral range. We present the regions with the largest frequency of occurrence of the atmospheric gravity and orographic waves. The methods and algorithms for calculating the characteristics of the wave processes are described, as well as those of extracting the necessary information from thematic products of satellite imagery and results of aerologic sensing. The results of retrieving the parameters of atmospheric internal waves are discussed for an episode of their observations over the Arabian Peninsula coast on April 23, 2009, as an example. Estimates of curvature radii of quasi-parallel bands and propagation speeds and directions of wave processes make it possible to reduce the search areas of the sources of their origin. It is recommended how these methods and algorithms can be utilized, as well as how their results can be used to solve different thematic problems. Promising development directions of this work are discussed, taking into account the results obtained.
Keywords: atmospheric internal waves, aerologic measurements, geometric characteristics, clouds, image processing, satellite data, physical parameters
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