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.

Original language	English
Article number	012003
Journal	IOP Conference Series: Earth and Environmental Science
Volume	211
Issue number	1
DOIs	https://doi.org/10.1088/1755-1315/211/1/012003
Publication status	Published - 17 Dec 2018
Event	International Conference and Early Career Scientists School on Environmental Observations, Modeling and Information Systems, ENVIROMIS 2018 - Tomsk, Russian Federation Duration: 5 Jul 2018 → 11 Jul 2018

ASJC Scopus subject areas

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

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10.1088/1755-1315/211/1/012003

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title = "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.",

author = "Volkov, {Y. V.} and Tartakovsky, {V. A.} and Cheredko, {N. N.} and Maximov, {V. G.} and Kabanov, {M. M.} and Kapustin, {S. N.}",

year = "2018",

month = dec,

day = "17",

doi = "10.1088/1755-1315/211/1/012003",

language = "English",

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journal = "IOP Conference Series: Earth and Environmental Science",

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TY - JOUR

T1 - Climate classification in the Northern Hemisphere using envelopes of temperature signals

AU - Volkov, Y. V.

AU - Tartakovsky, V. A.

AU - Cheredko, N. N.

AU - Maximov, V. G.

AU - Kabanov, M. M.

AU - Kapustin, S. N.

PY - 2018/12/17

Y1 - 2018/12/17

N2 - 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.

AB - 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.

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U2 - 10.1088/1755-1315/211/1/012003

DO - 10.1088/1755-1315/211/1/012003

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AN - SCOPUS:85059591622

VL - 211

JO - IOP Conference Series: Earth and Environmental Science

JF - IOP Conference Series: Earth and Environmental Science

SN - 1755-1307

IS - 1

M1 - 012003

T2 - International Conference and Early Career Scientists School on Environmental Observations, Modeling and Information Systems, ENVIROMIS 2018

Y2 - 5 July 2018 through 11 July 2018

ER -

Climate classification in the Northern Hemisphere using envelopes of temperature signals

Abstract

ASJC Scopus subject areas

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