ISSN 2070-7401 (Print), ISSN 2411-0280 (Online)
Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa


Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2018, Vol. 15, No. 3, pp. 157-166

Sea level fluctuations in the Barents Sea according to satellite data

Yu.P. Gudoshnikov 1 , V.A. Rozhkov 2 , E.A. Skutina 1 
1 Arctic and Antarctic Research Institute, Saint Peterburg, Russia
2 Saint Petersburg State University, Saint Petersburg, Russia
Accepted: 19.03.2018
DOI: 10.21046/2070-7401-2018-15-3-157-166
A statistical analysis of the sequence of space-time sea level fields obtained from the data of the satellite altimeter measurements of the Barents Sea is performed in the article. The space resolution of data is 0.25° LAT/LON with 1 day time discreteness, the studied period is from 01.01.1993 to 31.12.2015. The region under consideration is within 68.5–75° N, 20–47° E taking into account the seasonal variation of the ice edge. The initial data on the ice regime are archive materials and observations of the recent years (the complex ice charts are plotted on the basis of the satellite images with 1 week discreteness).
Estimations of sea level fluctuations in synoptic, seasonal and interannual variability ranges are performed. The spatial inhomogeneity of level fields driven by the system of currents and ocean divergence (convergence) zones, energy-active zones of Atlantic and Arctic Oceans-atmosphere interaction, is shown.
Data in 5 characteristic points of this region are used for an exploratory analysis. The average monthly data on median and range of level fluctuations are compared for the confirmatory analysis. Level maps with attraction of all available information are taken as resultative (effective) analysis: 24 points situated latitudelly and 28 points situated longitudelly within the studied domain. The values of the mean sea level and also values of mean-root-square-deviation for all months are given on these maps.
Keywords: Barents Sea, satellite altimeter level measurements, statistical analysis of the field data, exploratory analysis of the field data, confirmatory analysis of the field data
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