Climate classification in the Northern Hemisphere using envelopes of temperature signals

Y. V. Volkov, V. A. Tartakovsky, N. N. Cheredko, V. G. Maximov, M. M. Kabanov, S. N. Kapustin

Research output: Contribution to journalConference articlepeer-review


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.

Original languageEnglish
Article number012003
JournalIOP Conference Series: Earth and Environmental Science
Issue number1
Publication statusPublished - 17 Dec 2018
EventInternational Conference and Early Career Scientists School on Environmental Observations, Modeling and Information Systems, ENVIROMIS 2018 - Tomsk, Russian Federation
Duration: 5 Jul 201811 Jul 2018

ASJC Scopus subject areas

  • Environmental Science(all)
  • Earth and Planetary Sciences(all)

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