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Application of the Regression Algorithm to the Problem of Studying Horizontal Inhomogeneity of the Cloud Liquid Water Path by Ground-Based Microwave Measurements in the Angular Scanning Mode


The results of the cloud liquid water path (LWP) “land–sea” gradient retrieval from ground-based measurements of the downwelling microwave radiation near the Gulf of Finland coastline in the suburbs of Saint-Petersburg are presented. The measurements were carried out at the Department of Physics, St. Petersburg State University, by an RPG-HATPRO radiometer operating in the angular scanning mode. The inverse problem is solved by linear regression with the use of different statistical models of cloudiness for training the algorithm. Seven-year average values of the gradient of LWP for summer and winter have been obtained. The results demonstrate the presence of a positive “land–sea” gradient of LWP (larger values over the land and smaller values over the sea) in both periods, which qualitatively agrees with available satellite data.

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Operation of the measurement instrumentation was provided by the Geomodel resource center, St. Petersburg State University.


This work was supported by the Russian Foundation for Basic Research (project no. 19-05-00372).

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Correspondence to E. Yu. Biryukov or V. S. Kostsov.

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The authors declare that they have no conflicts of interest.

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Translated by A. Nikol’skii

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Biryukov, E.Y., Kostsov, V.S. Application of the Regression Algorithm to the Problem of Studying Horizontal Inhomogeneity of the Cloud Liquid Water Path by Ground-Based Microwave Measurements in the Angular Scanning Mode. Atmos Ocean Opt 33, 602–609 (2020).

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  • cloud liquid water water path
  • troposphere
  • horizontal inhomogeneity of atmospheric parameters
  • remote sensing
  • microwave radiometer
  • inverse problems
  • regression algorithm