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ISSN 2070-7401 (Print), ISSN 2411-0280 (Online)
Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa
CURRENT PROBLEMS IN REMOTE SENSING OF THE EARTH FROM SPACE

  

Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2024, Vol. 21, No. 3, pp. 307-318

Comparative analysis of cumulonimbus clouds characteristics based on ground observations and satellite data for Tomsk

E.I. Moraru 1, 2 , E.V. Kharyutkina 1, 3 , K.N. Pustovalov 1, 2, 3 , A.V. Skorokhodov 2 , S.V. Smirnov 1, 3 
1 Institute of Monitoring of Climatic and Ecological Systems SB RAS, Tomsk, Russia
2 V.E. Zuev Institute of Atmospheric Optics SB RAS, Tomsk, Russia
3 National Research Tomsk State University, Tomsk, Russia
Accepted: 21.05.2024
DOI: 10.21046/2070-7401-2024-21-3-307-318
In the framework of this study, a comparative statistical analysis of cumulonimbus clouds (Cb) characteristics was carried out on the basis of ground measurements and satellite data from 2013 to 2022. Related phenomena of convective origin were also taken into account. We used laser sounding data and meteorological measurements from two observational points located in Tomsk. Information about the cumulonimbus clouds characteristics were derived based on the processing procedure of atmospheric remote sensing data (MODIS — Moderate Resolution Spectroradiometer). It was established that relationships between the characteristics based on MODIS (cloud base height, water content, optical depth and effective radius) and CAMS (civil aviation meteorological station), including meteorological parameters (cloud base height, relative humidity and air temperature) are nonlinear; they are observed only during the passage of the largest organized clusters of cumulonimbus. High values of relationship (determination coefficient ~0.80) were derived for cloud base height (satellite data) and relative humidity (ground measurements). A linear relationship (determination coefficient 0.58) was revealed only for cloud base height between satellite and ground-based measurements. Thus, these two data sets can complement each other because satellite data provide information about cloud characteristics that cannot be measured from the ground.
Keywords: cumulonimbus cloudiness, cloud base height, satellite data, ground-based measurements, cloud spectral characteristics, convective phenomena
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