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 исследования: Материалы для журнала


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
Артикульный номер012003
ЖурналIOP Conference Series: Earth and Environmental Science
Номер выпуска1
Статус публикацииОпубликовано - 17 дек 2018
СобытиеInternational Conference and Early Career Scientists School on Environmental Observations, Modeling and Information Systems, ENVIROMIS 2018 - Tomsk, Российская Федерация
Длительность: 5 июл 201811 июл 2018


ASJC Scopus subject areas

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