Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2026, V. 23, No. 1, pp. 321-332
Regional features of spatial-temporal distribution of snow cover in Bashkiria territory based on remote sensing data and station observations
D.Yu. Vasil'ev 1, 2 , V.A. Semenov 3, 4 , D.S. Kucherova 1 , O.I. Christodulo 1 1 Ufa University of Science and Technology, Ufa, Russia
2 Institute of Steppe UrB RAS, Orenburg, Russia
3 A.M. Obukhov Institute of Atmospheric Physics RAS, Moscow, Russia
4 Institute of Geography RAS, Moscow, Russia
Accepted: 28.10.2025
DOI: 10.21046/2070-7401-2026-23-1-321-332
On the basis of data from the GlobSnow archive and station observations from Roshydromet, the spatio-temporal specificity of snow cover depth (SCD) and snow water equivalent (SWE) over the territory of Bashkiria was investigated. A correlation analysis of the characteristics of snow cover was carried out using snow measurement data from meteorological stations and the GlobSnow archive. High correlation between the data was established for the Pre-Urals and Trans-Urals areas. Over the entire observation period, snow reserves in Bashkiria were found to be increasing with the highest values in the Pre-Urals region. Areas with homogeneous fluctuations of SCD and SWE were identified. A wavelet analysis was applied to define periodicities in the SCD and SWE data, and an assessment of the statistical significance of the results was performed. The method of cross-wavelet analysis was used at the next step to establish a connection between the fluctuations in the values of SCD and SWE with climate indices such as the Arctic Oscillation, North Atlantic Oscillation, Scandinavian Index, and East Atlantic–West Russian Index. It was shown that the anomalies of SCD and SWE in the northern regions and the mountain-forest zone of Bashkiria were associated with the strengthening of zonal transport at high latitudes, whereas the anomalies of SCD and SWE in the southern regions were associated with the strengthening of meridional exchange.
Keywords: snow depth, snow water equivalent, instrumental measurements, geographic anchor, spatial interpolation, linear trend, spectral analysis
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