Yu.V. Shipko − Ph.D. (Eng.), Associate Professor, The Third Research Department (Safety and Security Air Force), Federal State Official Military Educational Institution of Higher Professional Education Military Educational Research Centre of Air Force «Air Force Academy named after professor N.E. Zhukovsky and Y.A. Gagarin» (Voronezh) of the Ministry of Defense of the Russian Federation E.V. Shuvakin − Adjunct of 13 Department (Hydrometeorological Support), Federal State Official Military Educational Institution of Higher Professional Education Military Educational Research Centre of Air Force «Air Force Academy named after professor N.E. Zhukovsky and Y.A. Gagarin» (Voronezh) of the Ministry of Defense of the Russian Federation. E-mail: argentina_85@mail.ru

The aim of this work was to improve the quality of hydrometeorological support consumers in difficult climatic conditions of the Arctic region by identifying the internal structure of the time series of surface air temperature to account for them in prognostic schemes and climate models. The achievement of this goal is implemented by the statistical approach to the study of time series of surface air temperature using the methods of harmonic analysis with the discrete Fourier transform. As the source of information gridded data reanalysis of atmospheric parameters NCEP/DOE AMIP-II of 1979−2011 year period were used. Values of air temperature in knots of the latitudinal-longitudinal grid by permission 2,5o at the level of 1000 hPa in terms of 00, 06, 12, 18 hour (world coordinated time) were considered. For certain areas of the Arctic zone of the Russian Federation in January significant harmonic components of the temperature series are revealed. The obtained simulation results can be used in hydro-meteorological support to various consumers in long-term plan-ning activities in the Arctic region.

 

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