ISSN 0869-6632 (Print)
ISSN 2542-1905 (Online)


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Vakulenko N. V., Serykh I. V., Sonechkin D. M. Chaos and order in atmosheric dynamics part 3. Predictability of el nino. Izvestiya VUZ. Applied Nonlinear Dynamics, 2018, vol. 26, iss. 4, pp. 75-94. DOI: 10.18500/0869-6632-2018-26-4-75-94

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Russian
Article type: 
Article
UDC: 
551.465

Chaos and order in atmosheric dynamics part 3. Predictability of el nino

Autors: 
Vakulenko N. V., P.P Shershov Institue of Oceanology
Serykh I. V., P.P Shershov Institue of Oceanology
Sonechkin Dmitrij Mihajlovich, Hydrometeorological Research Centre of Russian Federation
Abstract: 

Topic. Based on the assumption that short-term climatic variations are nonchaotic, and, therefore, the paradigm of the limited predictability of weather formulated by E.N. Lorenz is not applicable to these variations, a question is posed about the unlimited predictability of the short-term climatic variations. It differs from the opinion generally accepted in climatology now that atmospheric motions of all time scales, beginning from daily weather variations, and including interannual, centennial and even millennial variations of climate are unstable. Aim. Specifically, the interannual scales are considered in this paper, and the predictability of the well-known phenomenon of El Nino is investigated. For this purpose, the so-called Global Atmospheric Oscillation (GAO) is considered which has been recently recognized by climatologists. GAO represents a synchronized integrity of the well-known processes in tropics connected with El Nino, and some extratropical processes. Method. Assuming GAO to be the main mode of the short-term climatic variations, some indices are defined which characterize the dynamics of GAO itself as well as the interrelations between the extratropical and tropical components of GAO with each other. It turns out that crosscorrelations exist between these indices which are so high that they may be considered as evidences of some one-to-one relationships between the tropical and the extratropical components of GAO. Results. It allows give a positive answer to the question posed on nonchaoticity of the short-term climatic variations. Among the indices characterizing GAO there is one by means of which it is possible to predict El Nino with the lead time of 14 months. Then, by means of a specially designed technique of the crosswavelet analysis of pairs of time series, a range of time scales is found in which the closest crosscorrelations exist of the index-predictor with an index characterizing El Nino itself. This time scale range includes within itself all known El Nino rhythms, i.e. the time periods from 2 to about 16 years. Discussion. As a result, it is indicated a possibility of a further increase in the lead time of the of El Nino prediction up to several years. It is much more, than the lead times of all present-day hydrodynamical and statistical forecasts of El Nino.  

Reference: 
  1. Kibel I.F. Vvedebie v Gidrodinamitcheskie Metodi Kratkosrochnogo Prognoza Pogodi. M.: Gostechizdat, 1957. 375 s. (in Russian).
  2. Richardson L.F. Weather Prediction by Numerical Process. Cambridge: Cambridge Univ. Press, 1922. 236 p.
  3. Charney J. On the scale of atmospheric processes. Geofys. Publ., 1948, vol. 17, pp. 1–17.
  4. Lorenz E.N. Deterministic nonperiodic flow. J. Atmos.Sci., 1963, vol. 20, pp. 130–141.
  5. Blinova E.N. Dinamika Atmosphernich Dvijeniy Planetarnogo Masshtaba i Gidrodinamicheskiy Dolgosrochniy Prognoz Pogodi. M.: Gidrometeoizdat., 1976. 78 s. (in Russian).
  6. Saltzman B., Teweles S. Further statistics on the exchange of kinetic energy between harmonic components of the atmospheric flow. Tellus, 1964, vol. 16, pp. 432–435.
  7. Serykh I.V., Sonechkin D.M. Chaos and order in atmospheric dynamics. Part 1. Chaotic weather variations. Izvestiya VUZ, Applied Nonlinear Dynamics, 2017, vol. 25, iss. 4, pp. 4–22. DOI:10. 18500/0869-6632-2017-25-4-4-22.
  8. Sidorenkov N.S. Atmosphernie Prozessi i Vraschenie Zemli. StPb.: Gidrometeoizdat, 2002. 200 s. (in Russian).
  9. Serykh I.V., Sonechkin D.M. An Intercomparison of temporal power spectra of the El Nino – Southern Oscillation indices and of the global temperature and pressure fields in the surface layer. Fundamentalnaya I Prikladnaya Klimatologia, 2017, vol. 2, s. 144–155 (in Russian).
  10. Serykh I.V., Sonechkin D.M. Manifestations of motions of the Earth’s pole in the El Nino – Southern Oscillation Rhythms. Doklady Earth Sciences, 2017, vol. 472, no. 2, pp. 256–259.
  11. Byshev V.I., Neiman V.G., Romanov Y.A., Serykh I.V., Sonechkin D.M. Statistical significance and climatic role of the Global Atmospheric Oscillation. Oceanology, 2016, vol. 56, no. 2, pp. 165–171.
  12. Blekhman I.I. Sinchronizaziya Dinamitcheskich System. M.: Nauka, 1971. 896 s. (in Russian).
  13. Pikovsky A. Rosenblum M., Kurths J. Synchronization. A Universal Concept in Nonlinear Sciences. Cambridge: Cambridge Univ. Press, 2001. 496 p.
  14. Sugihara G., May R., Ye H., Hsieh C.-H., Deyle E., Fogarty M., Munch S. Detecting causality in complex systems. Science, 2012, vol. 338, pp. 496–500.
  15. Maximov I.V. Poljusniy priliv v moriach i atmosphere Zemli. Trudy instituta okeanologii AN USSR, 1955, no. 8, s. 92–118 (in Russian).
  16. Bryson R.A., Starr T.B. Chandler tides in the atmosphere. J. Atmos. Sci., 1975, vol. 34, pp. 1975–1986.
  17. Serykh I.V., Sonechkin D.M. Confirmation of the octanic pole tide influence on El Nino. Sovremennije problemi distanzionnogo zondirovaniya Zemli iz Kosmosa, 2016, vol. 13, no. 2, s. 44–52 (in Russian).
  18. Vakulenko N.V., Kotlyakov V.M., Sonechkin D.M. Lead–lag relationships between atmospheric trends of temperature and carbon dioxide concentrations during the Pliocene. Doklady Earth Sciences, 2016, vol. 467, part 2, pp. 423–426.
  19. Vakulenko N.V., Kotlyakov V.M., Parrenin F., Sonechkin D.M. A study of different scale relationship between changes of the surface air temperature and the CO2 concentration in the atmosphere. Ice and Snow, 2016, vol. 56(4), pp. 533–544.
  20. Vakulenko N.V., Kotlyakov V.M., Sonechkin D.M. The connection between the growth of anthropogenic carbon dioxide in the atmosphere and the current climate warming. Doklady Earth Sciences, 2017, vol. 477, part 1, pp. 1307–1310.
Received: 
02.03.2018
Accepted: 
20.04.2018
Published: 
31.08.2018
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