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Statistical Analysis for Parameters of Specularly Reflective Layers in High-Level Clouds over Western Siberia Based on MODIS Data

  • REMOTE SENSING OF ATMOSPHERE, HYDROSPHERE, AND UNDERLYING SURFACE
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Abstract

The results of applying the algorithm for detecting specularly reflective layers in high-level clouds based on passive satellite data are presented. We consider cirrus clouds with an optical thickness of less than 5 m and an top altitude of more than 8300 m consisting of horizontally oriented ice crystals, observed over the territory of Western Siberia from 2006 to 2007. The technique for detecting specularly reflecting layers in high-level clouds is described and the statistical analysis of their parameters is performed on the basis of spectroradiometer MODIS satellite data. We discuss the seasonal and latitudinal properties of the parameters of considered clouds over Western Siberia. The typical values of the area, altitude, reflection ratio, and effective emissivity of specularly reflecting layers over different latitudinal zones of the region under study are estimated for the first time.

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Funding

The analysis of the variability of characteristics of specularly reflective layers in high-level clouds was supported by the Russian Science Foundation (grant no. 21-77-10 089). The study of features of cloud parameters over Western Siberia was supported by the Ministry of Science and Higher Education of the Russian Federation (V.E. Zuev Institute of Atmospheric Optics, Siberian Branch, Russian Academy of Sciences).

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Authors and Affiliations

  1. V.E. Zuev Institute of Atmospheric Optics, Siberian Branch, Russian Academy of Sciences, 634055, Tomsk, Russia

    A. V. Skorokhodov & A. V. Konoshonkin

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  1. A. V. Skorokhodov
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  2. A. V. Konoshonkin
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Correspondence to A. V. Skorokhodov or A. V. Konoshonkin.

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Skorokhodov, A.V., Konoshonkin, A.V. Statistical Analysis for Parameters of Specularly Reflective Layers in High-Level Clouds over Western Siberia Based on MODIS Data. Atmos Ocean Opt 35 (Suppl 1), S58–S63 (2022). https://doi.org/10.1134/S1024856023010153

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