External factors in the formation of climate clusters of Eurasia

摘要

The work presents the results of the analysis of Eurasia climate system structure change over the period of modern climate warming. The authors developed the algorithm based on analytic signal theory, allowing grouping geophysical signals over various spatial and temporal scales. Surface temperature was selected as an integrated indicator of climate change. Climate clusters were separated based by the level of similarity in temperature oscillations annual variation phase change on Eurasia stations. Periods corresponding to major trends in global temperature dynamics were considered. We have revealed that during global warming, since 1976, there is a restructuring in regional fields patterns taking place, level of congruence of temperature oscillations changes, many stations of previously northern classes migrate to southern classes. Classification results confirmed that Russian Arctic and Subarctic are the regions that are most sensitive to global temperature changes.