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Izvestiya, Atmospheric and Oceanic Physics

, Volume 54, Issue 9, pp 1129–1134 | Cite as

Comparison of Variations in Concentration of Arctic Marine Ice and Duration of Snow Period of Northern Eurasia under Conditions of Present-Day Climate According to Satellite Data

  • L. M. KitaevEmail author
  • T. B. Titkova
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Abstract

The short period variability of the duration of the occurrence of stable snow cover and the concentration of marine ice is revealed and compared for Northern Eurasia and the adjacent area of the Arctic Ocean against a background of multiannual variations in indices of atmospheric correlation in 2000–2015. The main principles of multiannual variations in the characteristics are determined. No correlation between the multiannual tendencies and interannual variability is found. Nonetheless, the calculation of the Fourier harmonics allowed identification of three five-year periods similar for all characteristics: 2000–2004, 2005–2009, and 2010–2014. The most intense variations of the duration of the occurrence of stable snow cover and concentration of marine ice from one five-year period to another are typical of the East European Platform in contrast to the noticeable but small variations for Siberia.

Keywords:

duration of the occurrence of stable snow cover concentration of marine ice indices of atmospheric circulation 

Notes

ACKNOWLEDGMENTS

This work was supported by a program of Fundamental Scientific Research of the Russian Academy of Sciences (project no. 01482014-0015) (T.B. Titkova) and the Russian Foundation for Basic Research (project no. 16-05-00753) (L.M. Kitaev).

REFERENCES

  1. 1.
    Aniferov, A.A. and Repina, I.A., Numerical modeling of atmospheric conditions over polynya using the WRF POLAR mesoscale model, in Fizicheskoe i matematicheskoe modelirovanie protsessov v geosredakh (Physical and Mathematical Modeling of Processes in Geological Media), Inst. problem mekhaniki im. A.Yu. Ishlinskogo RAN, 2015, pp. 26–28.Google Scholar
  2. 2.
    Comiso, J.C., Bootstrap Sea Ice Concentrations from Nimbus-7 SMMR and DMSP SSM/I-SSMIS, V-ersion 2, Boulder, Colorado: NASA National Snow and Ice Data Center Distributed Active Archive Ce-nter, 2015. doi 10.5067/J6JQLS9EJ5HU. 10.5067/J6JQLS9EJ5HUGoogle Scholar
  3. 3.
    Dzhamalov, R.G., Frolova, N.L., and Telegina, E.A., Winter runoff variations in European Russia, Water Resour., 2015, vol. 42, no. 6, pp. 758–765.CrossRefGoogle Scholar
  4. 4.
    Kislov, A.V. and Morozova, P.A., Stochastic analysis of the dynamics of a mountain glacier, Vestn. Mosk. Univ., Ser. 5: Geogr., 2012, no. 4, pp. 9–13.Google Scholar
  5. 5.
    Kislov, A.V. and Surkova, G.V., Space-detailed climatic forecasting of air temperature and precipitation in Eastern Siberia on the basis of accounting for local features of the underlying surface, Russ. Meteorol. Hydrol., 2009, vol. 34, no. 3, pp. 165–170.CrossRefGoogle Scholar
  6. 6.
    Kitaev, L.M. and Titkova, T.B., Local variability of snow amount under current conditions of climate change, in Dinamika mnogoletnikh protsessov v ekosistemakh Tsentral’no-Lesnogo zapovednika (Dynamics of Long-Term Processes in the Ecosystems of the Central-Forest Reserve), Zheltukhin, A.S., Ed., Velikie Luki: Velikolukskaya gorodskaya tipografiya, 2012, pp. 33–40.Google Scholar
  7. 7.
    Maykut, C.A., Energy exchange over young sea ice in the Central Arctic, J. Geophys. Res., 1978, vol. 83, pp. 3646–3658.CrossRefGoogle Scholar
  8. 8.
    Mishon, V.M., Snezhnye resursy i mestnyi stok: zakonomernosti formirovaniya i metody rascheta (Snow Resources and Local Runoff: Formation Regularities and Calculation Methods), Voronezh: Voronezhskii Univ., 1988.Google Scholar
  9. 9.
    Nastavlenie gidrometeorologicheskim stantsiyam i postam (Instructions to Hydrometeorological Stations and Posts), vol. 3, part 1, Leningrad: Gidrometeoizdat, 1985.Google Scholar
  10. 10.
    Popova, V.V. and Polyakova, I.A., Change of stable snow cover destruction dates in Northern Eurasia, 1936–2008: Impact of global warming and the role of large-scale atmospheric circulation, Led Sneg, 2013, no. 2, pp. 29–39.Google Scholar
  11. 11.
    Repina, I.A. and Chechin, D.G., Vliyaniye polyney i razvodiy v arktike na strukturu atmosfernogo pogranichnogo sloya i regional’nyy klimat [influence of wormwood and breeding in the arctic on the structure of the atmospheric boundary layer and the regional climate], Sovrem. Probl. Distantsionnogo Zondirovaniya Zemli Kosmosa, 2012, vol. 9, no. 4, pp. 162–170.Google Scholar
  12. 12.
    Tikhonov, V.V., Repina, I.A., Raev, M.D., Sharkov, E.A., Boyarskii, D.A., and Komarova, N.Yu., Integrative algorithm of determining ice conditions in polar regions by data of satellite microwave radiometry (VASIA2), Izv., Atmos. Ocean. Phys., 2015, vol. 51, no. 9, pp. 914–928.CrossRefGoogle Scholar
  13. 13.
    Titkova, T.B. and Vinogradova, V.V., Snow occurrence time on the Russia’s territory in the early 21st century (from satellite data), Led Sneg, 2017, no. 1, pp. 25–33.Google Scholar
  14. 14.
    Volodicheva, N.A., Kitaev, L.M., Krenke, A.N., and Oleinikov, A.D., Interannual snowfall changes in the Caucasus and the East European Plain, Led Sneg, 2004, no. 96, pp. 138–144.Google Scholar
  15. 15.
    Vtoroy otsenochnyi doklad Roskomgidrometa ob izmeneniyakh klimata i ikh posledstviyakh na territorii Rossiyskoi Federatsii (The Second Assessment Report of Russian Hydrometeorological Service on Climate Changes and Their Consequences on the Territory of the Russian Federation), Moscow: Rosgidromet, 2014.Google Scholar

Copyright information

© Pleiades Publishing, Ltd. 2018

Authors and Affiliations

  1. 1.Institute of Geography, Russian Academy of SciencesMoscowRussia

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