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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, 2016, Vol. 13, No. 4, pp. 29-41

Modeling the spatial distribution of snow cover on a large catchment area using satellite data

S.V. Pyankov 1 , A.N. Shikhov 1 
1 Perm State National Research University, Perm, Russia
Accepted: 24.08.2016
DOI: 10.21046/2070-7401-2016-13-6-29-41
The article describes the method of snow water equivalent estimation, on the basis of combining ground-based and satellite observations data, and short-term precipitation forecasts of mesoscale atmospheric WRF model. The method was tested on the three winter seasons of 2012−2015. We used satellite data of the underlying surface (the actual vegetation types map and leaf area index) to calculate the snowmelt intensity and snow evaporation on the catchment area. This allowed us to take into account the influence of landscape conditions on snow accumulation and snowmelt processes. The GIS-based modeling provided reliable and highly detailed maps of the snow cover distribution with high spatial resolution.
Validation of simulation results was performed by comparing the actual and estimated snow water equivalents and snow covered area. Snow covered area was estimated using MODIS satellite data. The algorithm for determining snow covered area by MODIS data (ATBD-MOD 10) was adapted to the conditions of the studied catchment. As a result, we eliminated errors occurring at creating the snow cover mask on forested areas.
In general, the proposed method provides satisfactory calculation results of maximum snow water equivalent. The calculation accuracy is somewhat reduced during the spring snowmelt. Snow covered area is simulated with a higher reliability than the snow water equivalent. The differences in the simulated and actual snow water equivalents are caused by overestimation of precipitation amount by the WRF model and unrepresentative snow survey data.
Keywords: snow cover, snow accumulation, snowmelt, snow water equivalent, the WRF model, MODIS data
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