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Home » Archive of journals » Volume 12, No. 4, 2022 » Climate changes in river flow and precipitation in the White Sea Region CLIMATE CHANGES IN RIVER FLOW AND PRECIPITATION IN THE WHITE SEA REGIONJOURNAL: Volume 12, No. 4, 2022, p. 464-474HEADING: Research activities in the Arctic AUTHORS: Tolstikov, A.V., Serykh, I.V., Balagansky, A.F. ORGANIZATIONS: P. P. Shirshov Institute of Oceanology of the Russian Academy of Sciences, Northern Water Problems Institute of the Karelian Research Centre of the RAS DOI: 10.25283/2223-4594-2022-4-464-474 UDC: [556.16+556.12]:551.583(268.46) The article was received on: 11.04.2022 Keywords: White sea, climate changes, river runoff, precipitation amount, wavelet analysis Bibliographic description: Tolstikov, A.V., Serykh, I.V., Balagansky, A.F. Climate changes in river flow and precipitation in the White Sea Region. Arktika: ekologiya i ekonomika. [Arctic: Ecology and Economy], 2022, vol. 12, no. 4, pp. 464-474. DOI: 10.25283/2223-4594-2022-4-464-474. (In Russian). Abstract: On the basis of observational and reanalyzed data containing more than 60 years of time series, the authors studied climate changes and inter-annual variability of river flow, precipitation, soil and atmospheric moisture in the White Sea region. As an object of study, they consider the White Sea region — a territory that includes a square within 61°—70° NL and 30°—46° EL. The authors used open resources of Roshydromet, as well as various reanalysis data. For all the studied rivers of the White Sea catchment area, there are positive trends in the change in their flow (on average 11% for the period 1955—2019). This may be due to the observed increase in precipitation in the region over the same calculation period. A significant increase in precipitation has been established since the mid-1970s until 2021. Changes in the amount of precipitation in the White Sea area over the period of satellite observations (1980—2021), estimated by a linear trend, are unevenly distributed. In the northeast and southwest of the region under consideration, there is a decrease in average daily precipitation by –0.02 kg/m2 over 10 years. This decrease is several times less in absolute value than the increase in precipitation in the central part of the study area — by about +0.06 kg/m2 over 10 years. As a result, there has been an overall increase in precipitation throughout the region. The study shows that this growth is most pronounced in the areas of Kandalaksha and Dvina Bays, as well as in the catchment area of the Northern Dvina River. The authors assume that the observed increase in precipitation may be due to the increased influence of the North Atlantic and the Arctic Ocean on the White Sea region. The performed spectral and wavelet analysis revealed fluctuations in the studied parameters with periods of 2—4 years and 12—14 years. Via cross-wavelet analysis, the authors show the relationship between the inter-annual variability in the amount of precipitation in the White Sea region and the North Atlantic and Arctic oscillations. Finance info: The work was carried out according to the state assignment on the theme “Multipurpose studies of the White Sea and the watershed in the interests of the development of the Arctic zone of the Russian Federation” no. 121021700122-7. References: 1. Klimatologiya. [Climatology]. Ed. by O. A. Drozdov et al. Leningrad, Gidrometeorologiya, 1989, 568 p. (In Russian). 2. Climate of Karelia: variability and influence on water objects and watersheds. Ed. by N. N. Filatov. Petrozavodsk, KarNC RAN, 2004, 224 p. (In Russian). 3. Slivinski L. C., Compo G. P., Whitaker J. S. et al. Towards a more reliable historical reanalysis: Improvements for version 3 of the Twentieth Century Reanalysis system. Q J R Meteorol. Soc., 2019, 145, pp. 2876—2908. Available at: https://doi.org/10.1002/qj.3598. 4. Fan Y., van den Dool H. Climate Prediction Center global monthly soil moisture data set at 0.5° resolution for 1948 to present. J. Geophys. Res., 2004, 109, D10102. Available at: https://doi.org/10.1029/2003JD004345. 5. Kalnay E., Kanamitsu M., Kistler R. et al. The NCEP / NCAR 40-year reanalysis project. Bull. Amer. Meteor. Soc., 1996, vol. 77, pp. 437—471. Available at: https://doi.org/10.1175/1520-0477(1996)0772.0.CO;2. 6. Chen M., Xie P., Janowiak J. E., Arkin P. A. Global Land Precipitation: A 50-yr Monthly Analysis Based on Gauge Observations. J. of Hydrometeorology, 2002, vol. 3, iss. 5, pp. 249—266. Available at: https://doi.org/10.1175/1525-7541(2002)0032.0.CO;2. 7. Gelaro R., McCarty W., Suárez M. J. et al. The Modern-Era Retrospective Analysis for Research and Applications, Version 2 (MERRA-2). J. of Climate, 2017, 30 (14), pp. 5419—5454. Available at: https://doi.org/10.1175/JCLI-D-16-0758.1. 8. Adler R. F., Huffman G. J., Chang A. et al. The version 2 Global Precipitation Climatology Project (GPCP) monthly precipitation analysis (1979-present). J. Hydrometeorology, 2003, 4 (6), pp. 1147—1167. Available at: https://doi.org/10.1175/1525-7541(2003)0042.0.CO;2. 9. Torrence D. C., Compo G. P. A practical guide to wavelet analysis. Bull. of the American Meteorological Society, 1998, vol. 79, pp. 61—78. Available at: https://doi.org/10.1175/1520-0477(1998)0792.0.CO;2. 10. Torrence D. C., Webster P. J. Interdecadal changes in the ENSO-monsoon system. J. of Climate, 1999, vol. 12, pp. 2679—2690. Available at: https://doi.org/10.1175/1520-0442(1999)0122.0.CO;2. 11. Vakulenko N. V., Seryh I. V., Sonechkin D. M. Chaos and order in atmosheric dynamics. Pt. 3. Predictability of El Niño. Izv. vyssh. ucheb. zavedenii. Prikladnaya nelin. dinamika, 2018, vol. 26, no. 4, pp. 75—94. DOI: 10.18500/0869-6632-2018-26-4-75-94. (In Russian). 12. Serykh I. V., Sonechkin D. M. El Niño forecasting based on the global atmospheric oscillation. Intern. J. of Climatology, 2021, vol. 41, pp. 3781—3792. Available at: https://doi.org/10.3390/atmos12111443. 13. van den Dool H. M., Saha S., Johansson Å. Empirical Orthogonal Teleconnections. J. Climate, 2000, 13, pp. 1421—1435. Available at: https://doi.org/10.1175/1520-0442(2000)0132.0.CO;2. 14. Higgins R. W., Leetmaa A., Kousky V. E. Relationships between climate variability and winter temperature extremes in the United States. J. Climate, 2002, 15, pp. 1555—1572. Available at: https://doi.org/10.1175/15200442(2002)0152.0.CO;2. 15. Serykh I. V., Tolstikov A. V. On the causes of the long-term variability of surface air temperature over the White Sea. Vestn. Mosk. un-ta. Ser. 5. Geografiya, 2020, no. 4, pp. 83—95. (In Russian). 16. Serykh I. V., Kostianoy A. G. Seasonal and interannual variability of the Barents Sea temperature. Ecologica Montenegrina, 2019, vol. 25, pp. 1—13. DOI: 10.37828/em.2019.25.1. 17. Volodin E. M. On the mechanism of Arctic climate oscillation with a period of about 15 years according to data of the INM RAS climate model. Izv. Atmos. Ocean. Phys., 2020, 56, pp. 112—122. Available at: https://doi.org/10.1134/S0001433820020140. 18. Byshev V. I., Neiman V. G., Romanov Yu. A., Serykh I. V. On the spatial nonuniformity of some parameters of global variations in the recent climate. Doklady Earth Sciences, 2009, vol. 426, no. 4, pp. 705—709. Available at: https://doi.org/10.48612/fpg/k9x4-p8fz-5kz6. 19. Byshev V. I., Neiman V. G., Romanov Yu. A., Serykh I. V. Phase variability of some characteristics of the present-day climate in the Northern Atlantic region. Doklady Earth Sciences, 2011, vol. 438, no. 2, pp. 887—892. Available at: https://doi.org/10.1134/S1028334X11060304. 20. Byshev V. I., Neiman V. G., Anisimov M. V., Gusev A. V., Serykh I. V., Sidorova A. N., Figurkin A. L., Anisimov I. M. Multi-decadal oscillations of the ocean active upper-layer heat content. Pure and Applied Geophysics, 2017, vol. 174, no. 7. pp. 2863— 2878. DOI: 10.1007/s00024-017-1557-3. 21. Seryh I. V., Kostyanoy A. G., Lebedev S. A., Kostyanaya E. A. On the Transition of Temperature Regime of the White Sea Region to a New Phase State. Fundam. i prikladnaya gidrofizika, 2022, vol. 15, no. 1, pp. 98—111. Available at: https://doi.org/10.48612/fpg/k9x4-p8fz-5kz6. (In Russian). Download » | ||||
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DOI 10.25283/2223-4594
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