Quantum Biophysics of the Atmosphere: Asymmetric Wavelets of the Average Annual Air Temperature of Irkutsk for 1820-2019

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DOI: https://doi.org/10.30564/jees.v4i2.4586

Abstract:

The regularities of the dynamics of the average annual temperature of Irkutsk from 1820 to 2019 were revealed. It is proposed to use the sum of temperatures. However, this indicator requires the continuity of the dynamic series, so for Irkutsk the sum of temperatures could be accepted only from 1873. The first three terms of the general wavelet model gave a very high correlation coefficient of 0.9996. The second indicator is a moving average, calculated as the ratio of the sum of temperatures to the current time. Here the first three wavelets gave a correlation coefficient of 0.9962. In the dynamics of the average annual temperature from 1820 to 2019, 86 wavelets were obtained, of which 47 affect the future. The temperature has a high quantum certainty, and the change in the average annual temperature of Irkutsk is obtained up to a measurement error of 0.05 °C, and the identification process occurs as a full wavelet analysis. The basis of the forecast in 200 years makes it possible to replace the non-linear two-term trend with an oscillatory perturbation. With an increase in the number of terms in the model, the ordinate of the average annual temperature increases: For three terms, the temperature interval is from –2.95 °C to 2.61 °C; for 12 members from –4.06 °C to 4.02 °C; for the forecast for 47 members for 2020- 2220, from –4.62 °C to 4.40 °C.

References:

[1] Friedrich, T., Timmermann, A., Tigchelaar, M., et al., 2016. Nonlinear climate sensitivity and its implications for future greenhouse warming. Science Advances. 2(11), e1501923. DOI: https://doi.org/https://doi.org/10.1126/sciadv.1501923 [2] Causes of variability in long-term warming. Available from: https://www.metoffice.gov.uk/research/news/2018/causes-of-variability-in-long-term-warming-since-the-late-19th-century [3] Jenkins, A., 2009. The Ups and Downs of Global Warming. NASA Global Climate Change [Internet]. Available from: https://climate.nasa.gov/news/175/the-ups-and-downs-of-global-warming/#:~:text=The%20warming%20trend%20over%20the,1980s%20over%20land%20and%20ocean [4] Weart, S., 2019. The Modern Temperature Trend. The Discovery of Global Warning [Internet]. Available from: https://history.aip.org/climate/20ctrend.htm [5] Yirka, B., 2018. Study Suggests Three Periods of Global Warming Slowdown Since 1891 due to Natural Temporary Causes [Internet]. Available from: https://phys.org/news/2018-06-periods-global-slowdown-due-natural.html [6] Swain, D.L., Horton, D.E., Singh, D., et al., 2016. Trends in atmospheric patterns conducive to seasonal precipitation and temperature extremes in California. Science Advances. 2, e1501344. [7] Wu, Z., Huang, N.E., Wallace, J.M., et al., 2011. On the time-varying trend in global-mean surface temperature. Climate Dynamics. 37, 759. DOI: https://doi.org/10.1007/s00382-011-1128-8 [8] Kislov, A.V., Varentsov, M.I., Gorlach, I.A., et al., 2017. Heat island of the Moscow agglomeration and the urban-induced amplification of of global warming. Vestnik Moskovskogo universiteta. Serii͡a V, Geografii͡a. (5), 12-19. Available from: https://www.researchgate.net/publication/320057275 [9] Zappalà, D.A., Barreiro, M., Masoller, C., 2018. Quantifying changes in spatial patterns of surface air temperature dynamics over several decades. Earth System Dynamics. 9, 383-391. DOI: https://doi.org/10.5194/esd-9-383-2018 [10] Wang, J.F., Xu, Ch.D., Hu, M.G., et al., 2017. Global land surface air temperature dynamics since 1880. International Journal of Climatology. 38(S1), e466-e474. DOI: https://doi.org/10.1002/joc.5384 [11] Stouffer, R.J., Hegerl, G., Tett, S., 1999. A comparison of surface air temperature variability in three 1000-yr coupled ocean-atmosphere model integrations. Journal of Climate. 13, 513-537. [12] Li, G.X., Zhou, G., 2016. Comparisons of time series of annual mean surface air temperature for china since the 1900s: Observations, model simulations, and extended reanalysis. Bulletin of the American Meteorological Society. 98(4), 699-711. DOI: https://doi.org/10.1175/bams-d-16-0092.1 [13] Ding, J., Cuo, L., Zhang, Y.X., et al., 2018. Monthly and annual temperature extremes and their changes on the Tibetan Plateau and its surroundings during 1963-2015. Scientific Reports. DOI: https://doi.org/10.1038/s41598-018-30320-0 [14] Chernokulsky, A., 2022. Will Europe Freeze without the Gulf Stream? [Internet] [cited 2022 Mar 13] Available from: https://zen.yandex.ru/media/nplus1/zamerznet-li-evropa-bez-golfstrima-62028bab5eaa831b62461219?&utm_campaign=dbr& (in Russian) [15] Mazurkin, P.M., 2021. Bioclimatic regularities of change in the density of organic carbon of the steppe soil in different regions of the World. Journal of Atmospheric Science Research. 4(1), 16-25. DOI: https://doi.org/10.30564/jasr.v4i1.2521 [16] Mazurkin, P.M., 2021. Factor analysis of the parameters of samples of the steppe soil and grass of Mongolia and Inland Mongolia of China on the eastern transect of the Eurasian steppe. Journal of Geological Research. 3(1), 1-10. DOI: https://doi.org/10.30564/jgr.v3i1.2520 [17] Cheredko, N.N., Tartakovsky, V.A., Volkova, Yu.V., et al., 2020. Transformation of the spatial structure of the surface temperature field of the northern hemisphere. Izvestiya RAN. Geographic Series. 1, 47-55. (in Russian). DOI: https://doi.org/10.31857/S2587556620010057 [18] Alvarez-Castro, M.C., Faranda, D., Yiou, P., 2018. Atmospheric dynamics leading to west european summer hot temperatures since 1851. Hindawi Complexity. Article ID 2494509. DOI: https://doi.org/10.1155/2018/2494509 [19] Babushkina, E.A., Belokopytova, L.V., Shah, S.K., et al., 2018. Past crops yield dynamics reconstruction from tree-ring chronologies in the forest-steppe zone based on low- and high-frequency components. International Journal of Biometeorology. 62, 861-871. DOI: https://doi.org/10.1007/s00484-017-1488-9 [20] Dahlhausen, J., Rtzer, Th., Biber, P., et al., 2018. Urban climate modifies tree growth in Berlin. International Journal of Biometeorology. 62, 795-808. DOI: https://doi.org/10.1007/s00484-017-1481-3 [21] Wang, J., Yuan, Z., Wu, O., et al., 2019. Warming changed soil respiration dynamics of alpine meadow ecosystem on the Tibetan Plateau. Journal of Environmental & Earth Sciences. 1(2). DOI: https://doi.org/10.30564/jees.v1i2.511 [22] Zharkova, V., 2019. The Solar Magnet Field and the Terrestrial Climate [Internet] [cited 2019 Mar 1]. Available from: https://watchers.news/2018/11/11/valentina-zharkova-solar-magnet-field-and-terrestrial-climate-presentation/ [23] Zherebtsov, G.A., Kovalenko, V.A., Molodykh, S.I., et al., 2013. Influence of solar activity on the temperature of the troposphere and ocean surface. Bulletin of the Irkutsk State University. Earth Sciences Series. 6(1), 61-79. (in Russian) [24] Mazurkin, P.M., 2019. Wavelet analysis of annual dynamics of maximum temperature from 1878 to 2017 And forecast data Hadley center Central England temperature (Hadcet). International Journal of Current Research. 11(09), 7315-7324. Available from: https://www.journalcra.com/article/wavelet-analysis-annual-dynamics-maximum-temperature-1878-2017-and-forecast-data-hadley [25] Mazurkin, P.M., 2021. Quantum biophysics of the atmosphere: Factor analysis of the annual dynamics of maximum, minimum and average temperatures from 1879 to 2017 to Hadley English Temperature Center (Hadcet). Journal of Environmental & Earth Sciences. 3(1). DOI: https://doi.org/10.30564/jees.v3i1.2489 [26] Mazurkin, P.M., Kudryashova, A.I., 2019. Quantum meteorology. International Multidisciplinary Scientific GeoConference Surveying Geology and Mining Ecology Management, SGEM. (5.1), 619-627. [27] Kochugova, E.A., 2015. Variability of winter minimum air temperatures in Cisbaikalia. Bulletin of the Irkutsk State University. Earth Sciences Series. 13, 98-110. (in Russian) [28] Akhtimankina, A.V., Lopatkina, O.A., 2014. Study of the dynamics of concentrations of pollutants in the atmospheric air of Irkutsk. Bulletin of the Irkutsk State University. Earth Sciences Series. 9, 2-15. (in Russian). [29] Marinaite, I.I., Golobokova, L.P., Netsvetaeva, O.G., et al., 2013. Long-term studies of atmospheric precipitation in the city of Irkutsk. Bulletin of the Irkutsk State University. Earth Sciences Series. 6(2), 138-147. (in Russian). [30] Balkhanov, V.K., 2019. Fractal geometry: Axioms, fractal derivative and its geometrical meaning. Journal of Environmental & Earth Sciences. 1(1), 1-5. DOI: https://doi.org/10.30564/jees.v1i1.475