Probabilistic analysis of the climatic seasonal cycle of atmospheric pressure fields in the Arctic region of Russia

Abstract

The paper analyzes the climatic seasonal variability of the atmospheric pressure field in the Arctic region of Russia. The main research method is the probabilistic and statistical analysis of the time series of the pressure field recorded at fixed points for 60 years long from 1948 to 2008 in the Arctic zone of Russia. Based on these data, the climatic seasonal variability was constructed as an averaging of the values of a given time series at each point in space for each fixed day. The characteristics of such a seasonal cycle, its amplitude and phase are studied. Analyzes of those characteristics has been performed and their geophysical interpretation is carried out. In particular, the minimum and maximum values of the series were determined over the entire region and the time series of these characteristics were constructed. Numerical calculations have been realized on the Lomonosov-2 supercomputer of the Lomonosov Moscow State University.