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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, 2017, Vol. 14, No. 1, pp. 27-39

The accuracy of snow water equivalent anomalies retrieval from satellite data

L.M. Kitaev 1 , V.V. Tikhonov 2 , T.B. Titkova 1 
1 Institute of Geography RAS, Moscow, Russia
2 Space Research Institute RAS, Moscow, Russia
Accepted: 27.01.2017
DOI: 10.21046/2070-7401-2017-14-1-27-39
The accuracy of snow water equivalent spatial and temporal variations retrieval from satellite data taking into account the variations in near-surface air temperature and precipitation of winter period is discussed. First of all, the analysis was conducted for cases of anomalous snow accumulation. It was performed for the territory of Eurasia in the borders of Russia for the period of 1979−2007. The discrepancies between the reconstructed and real mean multiyear snow water equivalent values reached 17−45%. The reconstructed and real snow water equivalents differed more than twofold in standard deviations. A moderate increase in real snow water equivalent was observed along with a decrease in the corresponding reconstructed values. The largest retrieval errors were typical of areas with high snowpack thickness, forest cover, mountainous relief, considerable multiyear growth of snow water equivalent. The anomalies of the real and reconstructed snow water equivalents were identified and their contributions into the integral variability were calculated. No similarities between the reconstructed and real anomalies were found for the given period. Therefore, real and retrieved from satellite data snow water equivalents have little similarity in value, spatial and temporal distribution and anomaly manifestation. The retrieval algorithms for satellite data should be improved to take into account the state of surface and snowpack structural characteristics. The dependencies obtained in this work can be used to correct reconstructed snow water equivalent values or fine-tune their calculation procedures.
Keywords: real and reconstructed snow water equivalents, near-surface air temperature, precipitation, multiyear variability, spatial variability, snow water equivalent anomaly
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