Climate classification in the Northern Hemisphere using envelopes of temperature signals

[摘要] Based on an analytic signal theory, the authors have developed an iterative algorithm for climate clustering using a temperature oscillation analysis. Surface temperature is selected as an integrated climate change indicator. Temperature series are studied as modulated signals. The algorithm enables signal grouping on various spatio-temporal scales using the available information on the synchronicity of envelopes of the signals.

[发布机构] Institute of Monitoring of Climatic and Ecological Systems SB RAS, Akademichesky Ave. 10/3, Tomsk; 634055, Russia^1;Tomsk Polytechnic University, Lenina Ave. 30, Tomsk; 634050, Russia^2

[效力级别] 计算机科学

[关键词] Climate change indicators;Iterative algorithm;Northern Hemispheres;Spatio-temporal scale;Surface temperatures;Temperature oscillations;Temperature series;Temperature signal