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

Результат исследований: Материалы для журналарецензирование


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.

Язык оригиналаАнглийский
Номер статьи012003
ЖурналIOP Conference Series: Earth and Environmental Science
Номер выпуска1
СостояниеОпубликовано - 17 дек 2018
СобытиеInternational Conference and Early Career Scientists School on Environmental Observations, Modeling and Information Systems, ENVIROMIS 2018 - Tomsk, Российская Федерация
Продолжительность: 5 июл 201811 июл 2018

ASJC Scopus subject areas

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

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