Дальние асинхронные связи в долгопериодных колебаниях климата мирового океана и региональной атмосферы применительно к Республике Татарстан

Authors

  • Борис Георгиевич Шерстюков All-Russian Research Institute of Hydrometeorological Information – World Data Centre
  • Юрий Петрович Переведенцев Kazan (Volga) Federal University

DOI:

https://doi.org/10.17308/geo.2019.1/2278

Keywords:

climate oscillations, trend, ocean surface temperature, long-distance communications, prognostic assessment

Abstract

The results of the prognostic assessment of changes in average annual air temperature in Kazan in the period 2019-2045 are considered. The regression model is constructed taking into account the existence of long-range asynchronous connections in long-term fluctuations of the surface temperature of the W orld Ocean and air temperature in the Republic of Tatarstan. In contrast to the data of climate models from the CMIP 5 project, according to the data of the proposed statistical model, air temperature fluctuations are expected relative to an average value of 5.1°C.

Author Biographies

  • Борис Георгиевич Шерстюков, All-Russian Research Institute of Hydrometeorological Information – World Data Centre

    Doctor of Geographical Sciences, Head of the Laboratory of Climate Change Impact Research, All-Russian Research Institute of Hydrometeorological Information – World Data Centre, Obninsk

  • Юрий Петрович Переведенцев, Kazan (Volga) Federal University

    Doctor of Geographical Sciences, Professor, Head of the Department of meteorology, climatology and atmosphere ecology, Institute of the Institute of Environmental Sciences, Kazan (Volga) Federal University, Kazan

References

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Published

2019-01-17

Issue

No. 1 (2019): January - March

Section

Articles

How to Cite

Дальние асинхронные связи в долгопериодных колебаниях климата мирового океана и региональной атмосферы применительно к Республике Татарстан. (2019). Proceedings of Voronezh State University. Series: Geography. Geoecology, 1, 5-11. https://doi.org/10.17308/geo.2019.1/2278