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About the Author
Vyacheslav N. Baklagin
A. Nevskogo str., 50, 185035, Petrozavodsk, Russia,
E-mail: slava.baklagin@mail.ru
Abstract
Ice phenomena occurring in the water areas of lakes and seas are a sensitive indicator of regional and global climate change, so it is important to have an idea of the nature of the ice regime on lakes and seas, which are partially or completely covered with ice every year. At present, only satellite data can provide the information that is necessary for a spatio-temporal analysis of the ice characteristics of water bodies. The paper presents results of the analysis of satellite data on the spatial distribution of ice in the White Sea, presented by the National Snow and Ice Data Center (NSIDC). The time series of values of the ice coverage of the White Sea for the period 2004–2017 is formed with a step of 1 day, on the basis of which the timing and duration of the annual recurring period of ice phenomena on the White Sea are calculated. It is established that the water area of the White Sea is covered almost every year with ice (92–97 % of the water area) in winter, and in the summer it is completely cleared of ice. It is shown that a number of durations of the annual period of ice phenomena have insignificant variability (the coefficient of variation is 10 %), while the RICI indicator is more indicative (variation index 21 %) for estimating the influence of climatic factors on the variability of the annual ice regime of the White Sea. At the same time, the analysis of satellite data revealed errors in determining the spatial distribution of ice in 2004–2005, when according to NSIDC data ice formations of small areas (0.001–0.01 of the total area of the water area) were recorded in the summer. This error must be taken into account when determining the timing and duration of the phases of the ice regime in the White Sea.
Keywords
References
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For citation: Baklagin V.N. STUDY OF THE ICE REGIME OF THE WHITE SEA BY SATELLITE DATA OF NSIDC. Proceedings of the International conference “InterCarto. InterGIS”. 2018;24(2):40–45 DOI: 10.24057/2414-9179-2018-2-24-40-45 (in Russian)