Climate classification in the Northern Hemisphere using envelopes of temperature signals

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...

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Bibliographic Details
Published in:IOP conference series. Earth and environmental science 2018-12, Vol.211 (1), p.12003
Main Authors: Volkov, Y V, Tartakovsky, V A, Cheredko, N N, Maximov, V G, Kabanov, M M, Kapustin, S N
Format: Article
Language:English
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Summary: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.
ISSN:1755-1307
1755-1315
1755-1315
DOI:10.1088/1755-1315/211/1/012003