Abstract
As the scientific community accepts the modern global climate changes, statistical analysis of a time series of hydrometeorological parameters becomes topical. A time series of air temperature was decomposed in this work; the decomposition allows one to distinguish regular, seasonal, and random components and to assess their statistical significance and adequacy to observation results. On the basis of a linear-regression model, a statistically significant increase in the annual average air temperature in the region under study was determined, both for the entire observation period and for separate months of the year.
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Original Russian Text © V.A. Gazaryan, J.A. Kurbatova, T.A. Ovsyannikov, N.E. Shapkina, 2015, published in Vestnik Moskovskogo Universiteta. Fizika, 2015, No. 5, pp. 17–23.
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Gazaryan, V.A., Kurbatova, J.A., Ovsyannikov, T.A. et al. Contemporary climate changes in the southwest of the Valdai Hills: A statistical analysis of the long-term dynamics of the air temperature. Moscow Univ. Phys. 70, 346–352 (2015). https://doi.org/10.3103/S0027134915050045
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DOI: https://doi.org/10.3103/S0027134915050045