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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. 2, pp. 252-264

Global microwave snow water equivalent data: comparison with ground observations and inverse correlation with winter-spring air temperature (case study: Neva-Ladoga basin)

M.V. Georgievsky 1 , S.V. Romanov 2 , T.V. Parshina 1 , V.L. Trushevsky 1 
1 St. Petersburg State University, Saint Petersburg, Russia
2 LLC "Lenvodproekt", St. Petersburg, Russia
Accepted: 17.02.2020
DOI: 10.21046/2070-7401-2020-17-2-252-264
The paper describes the quality assessment of information provided by global microwave snow water equivalent data. The investigation area is the Neva-Ladoga basin where snow plays an important role in the formation of spring runoff. Two global data archives: Global Monthly EASE-Grid Snow Water Equivalent Climatology and AMSR-E/Aqua Monthly L3 Global Snow Water Equivalent EASE-Grids were analyzed as initial information. At the first stage of the study, the intercomparison of satellite data on snow water equivalent (SWE) was carried out as well as an assessment of their accuracy by comparing with ground-based observations. It was found that the archival data are in good agreement with each other, but significantly underestimate the SWE in comparison with the snow surveys data. At the second stage of the research, the relationship between the long-term fluctuations in the maximum SWE values obtained from the microwave data and winter-spring air temperature over the investigation basin was analyzed. The obtained results demonstrate that the microwave data (maximum SWE) have an inverse relationship with the air temperature changes during snow cover accumulation and melting periods (January – April). The correlation coefficient is –0.80 for the 33-year period. The article also provides an overview of existing global microwave snow water equivalent databases.
Keywords: satellite microwave radiometry, snow water equivalent, maximum snow water equivalent, snow survey, comparative analysis, climate change, Neva-Ladoga basin
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