Climate classification in the Northern Hemisphere using envelopes of temperature signals

Abstract

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.