BIO Web of Conferences (Jan 2024)

GPR snow cover investigation to determine its spatial and temporal variability

  • Frolov D.M.,
  • Seliverstov Yu.G.,
  • Koshurnikov A.V.,
  • Gagarin V.E.,
  • Nikolaeva E.S.

DOI
https://doi.org/10.1051/bioconf/202411304003
Journal volume & issue
Vol. 113
p. 04003

Abstract

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The paper presents data on the meteorological features of the 2023/24 winter season in Moscow and the results of observations of snow cover at the MSU meteorological observatory site, as well as a comparison of these meteorological conditions and the characteristics of snow accumulation in the winter of this year with previous years. The paper also presents the methodology and data of ground penetrating radar sounding of snow cover at the site of the Moscow State University meteorological observatory, their analysis and comparison with the given direct measurement data, which allows us to draw conclusions about the structure of the snow layer and its spatio-temporal variability based only on geophysical methods.