Application of wavelet analysis methods to study the climate of the Arctic region

Abstract

This paper provides an assessment of the possibilities and advantages of using wavelet analysis methods in the study of regional mechanisms of climate formation in the Arctic region by analyzing the relationship between the values of the air temperature anomalies at the Earth's surface and the North Atlantic Oscillation index. It is shown that the methods of wavelet analysis of climatic indices have certain advantages for identifying cyclical changes in climatic characteristics on local time scales and allow an in-depth spectral assessment. The conducted wavelet analysis of the NAO and SAT index (1950-2020) made it possible to estimate the previously known natural quasi-cyclic oscillations with a typical period of 7-15 years and other dominant components of their spectrum.