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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

Abstract

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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ACKNOWLEDGMENTS

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

Funding

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). https://doi.org/10.1134/S102485602006007X

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Keywords:

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