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Contemporary climate changes in the southwest of the valdai hills: A statistical analysis of the long-term dynamics of the Air Temperature

V.A. Gazaryan$^{1,2}$, J.A. Kurbatova$^3$, T.A. Ovsyannikov$^1$, N.E. Shapkina$^1$

Moscow University Physics Bulletin 2015. 15. N 5. P. 346

  • Article
Annotation

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.

Received: 2015 April 13
Approved: 2015 November 13
PACS:
02.50.-r Probability theory, stochastic processes, and statistics
Authors
V.A. Gazaryan$^{1,2}$, J.A. Kurbatova$^3$, T.A. Ovsyannikov$^1$, N.E. Shapkina$^1$
$^1$Department of Physics, Moscow State University, Moscow, 119991 Russia
$^2$Department of Applied Mathematics and Information Technologies, Financial University under the Government of the Russian Federation, Leningradskii pr. 46, Moscow, 125993 Russia
$^3$Severtsov Institute of Ecology and Evolution, Russian Academy of Sciences, Leninskii pr. 33, Moscow, 119071 Russia.
Issue 5, 2015

Moscow University Physics Bulletin

Science News of the Faculty of Physics, Lomonosov Moscow State University

This new information publication, which is intended to convey to the staff, students and graduate students, faculty colleagues and partners of the main achievements of scientists and scientific information on the events in the life of university physicists.