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ISSN: 1023-5086

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ISSN: 1023-5086

Scientific and technical

Opticheskii Zhurnal

A full-text English translation of the journal is published by Optica Publishing Group under the title “Journal of Optical Technology”

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DOI: 10.17586/1023-5086-2025-92-11-34-44

УДК: 535.36; 551.501.776

Integration of lidar and meteorological data for a comprehensive study of high-level clouds

Bryukhanov I.D., Kuchinskaia O.I., Samokhvalov I.V., Pustovalov K.N., Ni E.V., Zhivotenyuk I.V., Doroshkevich A.A.
For Russian citation (Opticheskii Zhurnal):

Брюханов И.Д., Кучинская О.И., Самохвалов И.В., Пустовалов К.Н., Ни Е.В., Животенюк И.В., Дорошкевич А.А. Интеграция лидарных и метеорологических данных для комплексного исследования облаков верхнего яруса // Оптический журнал. 2025. Т. 92. № 11. С. 34–44. http://doi.org/10.17586/1023-5086-2025-92-11-34-44

 

Bryukhanov I.D., Kuchinskaia O.I., Samokhvalov I.V., Pustovalov K.N., Ni E.V., Zhivotenyuk I.V., Doroshkevich A.A. Integration of lidar and meteorological data for a comprehensive study of high-level clouds // Opticheskii Zhurnal. 2025. V. 92. № 11. P. 34–44. http://doi.org/10.17586/1023-5086-2025-92-11-34-44

For citation (Journal of Optical Technology):
-
Abstract:

Scope of research. Optical characteristics of high-level clouds, which have a large area of coverage of the Earth’s surface and significantly affect the Earth’s radiation budget and climate. The purpose of the work. Development of an approach to the comprehensive study and assessment of the upper-level clouds characteristics as well as the determination of the conditions and frequency of their observation based on a comparison of satellite, lidar and meteorological data in order to expand the geophysical applicability of the results. Method. Data from polarization laser sensing, MODIS satellite spectroradiometer, radiosonde observations, weather stations, and atmospheric reanalysis ERA5 and MERRA-2 are used. The reanalyses are formed by combining numerical modeling of the atmosphere with heterogeneous observations, which ensures time- and space-consistent data series. Main results. The array of 2009–2024 lidar data and the distributions of high-level cloud characteristics obtained on its basis are described. The sources of atmospheric data used to predict the formation of high-level clouds and their characteristics, including cirrus with a preferred horizontal orientation of ice crystals, are listed. Practical significance. The results can be used to refine parameters in climate models and short-term cloud forecasts. They are also suitable for analyzing the distribution and dynamics of clouds in various regions. The integration of local lidar observations with large-scale meteorological information based on the analysis of optical characteristics of clouds allows the geophysical applicability of the results to be expanded significantly.

Keywords:

atmosphere, high-level clouds, anomalous backscattering, polarization lidar, backscattering phase matrix, radiosonde sensing, reanalysis, satellite spectroradiometer, meteorological observations, big data arrays

Acknowledgements:
this research was funded by the Russian Science Foundation, Grant № 24-72-10127.

OCIS codes: 010.1290, 010.3640

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