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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. 3, pp. 246-254

Spatiotemporal structure of sea ice concentration patterns in the Barents Sea from satellite data

N.V. Mikhailova 1 , A.V. Yurovsky 1 
1 Marine Hydrophysical Institute RAS, Sevastopol, Russia
Accepted: 27.02.2017
DOI: 10.21046/2070-7401-2017-14-3-246-254
The principal component analysis was applied to passive microwave sensing data of sea ice cover in the Arctic (National Snow and Ice Data Center, 1978–2016). Three principal components were distinguished. The first principal component is accounted for 65,4% of the sea ice concentration total variance and describes a long-term trend. The second principal component (10,8%) is related to variations in heat inflow with the sea currents under the influence of atmospheric circulation. The third principal component (7,8%) is associated with the variability of the total heat flux from the ocean to the atmosphere at the boundary of the ice edge in the northern Barents Sea region. Processes in the ocean - sea ice - atmosphere system which affect long-term dynamics of the ice cover of the Barents Sea are also investigated. Along with the air temperature, which regulates the processes of local ice formation, wind plays an important role. In the northern Barents Sea region 42% of the sea ice concentration variability can be explained by the variability of the meridional component of the wind speed, in the southeast of the sea 37% of the sea ice concentration variability can be explained by the variability of the zonal component of the wind speed. It is shown that since 2005 there have been significant changes in the atmospheric circulation over the Barents Sea.
Keywords: sea ice concentration, the Barents Sea, interannual variability, principal component analysis, atmospheric characteristics
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