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ISSN 2070-7401 (Print), ISSN 2411-0280 (Online)
Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa
CURRENT PROBLEMS IN REMOTE SENSING OF THE EARTH FROM SPACE

  

Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2020, Vol. 17, No. 5, pp. 167-178

Zonal features of changes in snow storage of East European Plain (according to satellite observations)

L.M. Kitaev 1 , T.B. Titkova 1 
1 Institute of Geography RAS, Moscow, Russia
Accepted: 22.09.2020
DOI: 10.21046/2070-7401-2020-17-5-167-178
The features of zonal variability of snow storages of the East European Plain have been specified for the last two decades. Averaged over the zones, they decrease from the tundra, forest-tundra and taiga to the steppe zone against the background of a zonal increase in air temperature and precipitation with maximum in the forest zone. The error of zonal snow storages recovered from satellite data relative to the factual storages is 14–29 % with the maximum error in the forest-steppe and steppe zones. The variability of the long-term series of the recovered snow reserves everywhere exceeds the variability of their factual values. The correlation coefficient of the long-term course of the restored and factual snow reserves is maximal in forest zone (0.63–0.69). Long-term trends are everywhere negative and insignificant; decrease according to the trend line for the period 2000–2019 to restored snow storages is faster in comparison with decrease in factual snow storages. Spatial distribution of the recovered and factual snow storages variability characteristics is similar. The contribution of air temperature to the long-term variability of both recovered and factual snow storages exceeds the contribution of precipitation. The considered hypothesis about the possibility of using NDVI values to assess the contribution of vegetation to zonal differences in snow storages is recognized as unlikely, due to the ambiguity of statistical dependencies. As a result, when the absolute values are different, the snow storages recovered from satellite data and snow storages observed at meteorological stations have the similarity of long-term zonal variability and spatial distribution.
Keywords: restored and actual snow reserves, surface air temperature, precipitation, NDVI, zonal variability, long-term trends, interannual variability, regression analysis
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