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Long-Term Forecast of Conditions of the Thermal Regime for Territory of Volga Federal District

https://doi.org/10.15356/0373-2444-2015-3-85-93

Abstract

The physical basis of the long-term asynchronous link between the thermal regime of the North Atlantic in August (March) and the conditions of the thermal regime in the Volga Federal District in next January (July) is discussed. Methodology and results of testing of possibility of use of the informative properties of the fi elds of temperature anomalies of the ocean surface for long-term forecasting of the thermal regime in the district are presented. Comparative data on the effectiveness of methods of “secondary standards” and non-parametric discriminant analysis used in experimental forecasts are contained.

About the Authors

N. A. Vazhnova
Kazan (Volga) Federal University
Russian Federation
Kazan


M. A. Vereshchagin
Kazan (Volga) Federal University
Russian Federation
Kazan


References

1. Apasova E.G. Distribution of water temperature anomalies in Northern Atlantic at the high anomalies of continental air temperature. Tr. Gidromettsentra SSSR, 1973, no. 107, pp. 71–79. (In Russ.).

2. Bagrov N.A., Kondratovich K.V., Ped’ D.A., and Ugryumov A.I. Dolgosrochnye meteorologicheskie prognozy (Long-Term Meteorological Forecasts). Leningrad: Gidrometeoizdat Publ., 1985. 248 p.

3. Vazhnova N.A. and Vereshchagin M.A. Long-term dynamics of surface thermal regime on the territory of Volga Federal District (VFD) in the second half of 20th and in the beginning of 21st century. Vestn. Udmurt. Gos. Univ., Ser. Biol., Nauki Zemle, 2014, no. 1, pp. 112–121. (In Russ.).

4. Vil’fand R.M., Tishchenko V.A., and Khan V.M. Multimodel approach to forecasting of surface air temperature for a season. Tr. Gidromettsentra Rossii, 2008, no. 342, pp. 3–16. (In Russ.).

5. Gruza G.V. and Ran’kova E.Ya. Veroyatnostnye meteorologicheskie prognozy (Probabilistic Meteorological Forecasts). Leningrad: Gidrometeoizdat Publ., 1983. 271 p.

6. Gruza G.V. and Ran’kova E.Ya. Expected climate changes: probabilistic forecast. Zemlya Vselennaya, 2009, no. 1, pp. 18–28. (In Russ.).

7. Drozdov O.A., Vasil’ev V.A., Kobysheva N.V., Raevskii A.N., and Smekalova L.K. klimatologiya (Climatology). Leningrad: Gidrometeoizdat Publ., 1989. 567 p.

8. Druzhinin V.V. Thermal effect of an ocean on formation of thermobaric field over Northern Atlantic. Tr. Arkt. Antarkt. Nauchno-Issled. Inst., 1974, vol. 325, pp. 87–96. (In Russ.).

9. Kats A.L. Neobychnoe leto 1972 (Unusual Summer of 1972). Leningrad: Gidrometeoizdat Publ., 1979. 59 p.

10. Kryzhov V.N. Downscaling of the global seasonal forecasts of Hydrometcenter of Russia for North Eurasia, Russ. Meteorol. Hydrol., 2012, vol. 37, no. 5, pp. 291–297.

11. Kryndin A.N. Infl uence of the Northern Atlantic on formation of seasonal field H500 in the fi rst naturalsynoptic region. Tr. Gidromettsentra SSSR, 1989, no. 43, pp. 97–104. (In Russ.).

12. Mirvis V.M., Meleshko V.P., Gavrilina V.M. et al. Monthly meteorological forecasting with the MGO hydrodynamic-statistical method. I. Deterministic forecast: results from 26-year series of testing. Russ. Meteorol. Hydrol., 2006, no. 1, pp. 1–10.

13. Mirvis V.M., Meleshko V.P., Gavrilina V.M. et al. Monthly meteorological forecasting with the MGO hydrodynamic-statistical method. II. Probabilistic forecast: Analysis and interpretation of ensemble distribution, forecast calculation, and verifi cation. Russ. Meteorol. Hydrol., 2006, no. 2, pp. 1–10.

14. Sadokov V.P., Kozel’tseva V.F., and Kuznetsova N.N. Determination of spring dates of the steady transition of average daily air temperature above 0, +5˚C: their forecast and analysis. Tr. Gidrometeorol. Nauchn. Tsentra, Ross. Fed., 2012, no. 348, pp. 144–152. (In Russ.).

15. Tolstykh M.A. Global Semi-Lagrangian numerical model of weather forecast, Doctoral (Phys.-Math.) Dissertation, Moscow: FOP Publ., 2010. 112 p.

16. Ugryumov A.I. Dolgosrochnye meteorologicheskie prognozy (Long-Term Meteorological Forecasts). St. Petersburg: Ross. Gos. Gidrometeorol. Univ., 2006. 84 p.

17. Khan V.M., Vil’fand R.M., Sadokov V.P., and Tishchenko V.A. Weather forecasts for a month: status and prospects, in 80 Let Gidromettsentra Rossii (The 80th Anniversary of the Hydrometeorological Center of Russia). St. Petersburg, 2009, pp. 235–246. (In Russ.).

18. Chichasov G.N. Tekhnologiya dolgosrochnykh porgnozov pogody (Technology of Long-Term Weather Forecasts). St. Petersburg: Gidrometeoizdat Publ., 1991. 304 p.

19. Storm R. Wahrscheinlichkeitsrechnung, Mathematische Statistik und Statistische Qualitatskontrolle. Leipzig: Fachbuchverlag, 1967.

20. Feddersen H. and Andersen U. A method for statistical downscaling of seasonal ensemble predictions. Tellus, Ser. A, 2005, vol. 57, pp. 398–408.

21. Kryjov V.N. Searching for circulation patterns affecting Northern Europe annual temperature. Atmos. Sci. Lett., 2004, vol. 5, no. 1, pp. 23–24.

22. Min Y.-M., Kryjov V.N., and Oh J.-H. Probabilistic multimodel ensemble approach to seasonal prediction. Weather Forecast, 2009, vol. 24, pp. 812–828.

23. NCEP/NCAR data of reanalysis. http://www.esrl.noaa.gov/

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For citations:


Vazhnova N.A., Vereshchagin M.A. Long-Term Forecast of Conditions of the Thermal Regime for Territory of Volga Federal District. Izvestiya Rossiiskoi Akademii Nauk. Seriya Geograficheskaya. 2015;(3):85-93. (In Russ.) https://doi.org/10.15356/0373-2444-2015-3-85-93

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