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 journal › Conference article

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 languageEnglish
Article number012003
JournalIOP Conference Series: Earth and Environmental Science
Volume211
Issue number1
DOIs
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 2018 → 11 Jul 2018

Fingerprint

climate classification
Northern Hemisphere
temperature
surface temperature
oscillation
climate change
climate

ASJC Scopus subject areas

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

Cite this

Climate classification in the Northern Hemisphere using envelopes of temperature signals. / Volkov, Y. V.; Tartakovsky, V. A.; Cheredko, N. N.; Maximov, V. G.; Kabanov, M. M.; Kapustin, S. N.

In: IOP Conference Series: Earth and Environmental Science, Vol. 211, No. 1, 012003, 17.12.2018.

Research output: Contribution to journal › Conference article

Volkov, YV, Tartakovsky, VA, Cheredko, NN, Maximov, VG, Kabanov, MM & Kapustin, SN 2018, 'Climate classification in the Northern Hemisphere using envelopes of temperature signals', IOP Conference Series: Earth and Environmental Science, vol. 211, no. 1, 012003. https://doi.org/10.1088/1755-1315/211/1/012003
Volkov YV, Tartakovsky VA, Cheredko NN, Maximov VG, Kabanov MM, Kapustin SN. Climate classification in the Northern Hemisphere using envelopes of temperature signals. IOP Conference Series: Earth and Environmental Science. 2018 Dec 17;211(1). 012003. https://doi.org/10.1088/1755-1315/211/1/012003
Volkov, Y. V. ; Tartakovsky, V. A. ; Cheredko, N. N. ; Maximov, V. G. ; Kabanov, M. M. ; Kapustin, S. N. / Climate classification in the Northern Hemisphere using envelopes of temperature signals. In: IOP Conference Series: Earth and Environmental Science. 2018 ; Vol. 211, No. 1.
@article{d8cb6519bc5d4773a4c3b9ebc2634fa8,
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 = "12",
day = "17",
doi = "10.1088/1755-1315/211/1/012003",
language = "English",
volume = "211",
journal = "IOP Conference Series: Earth and Environmental Science",
issn = "1755-1307",
publisher = "IOP Publishing Ltd.",
number = "1",

}

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.

UR - http://www.scopus.com/inward/record.url?scp=85059591622&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85059591622&partnerID=8YFLogxK

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

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

M3 - Conference article

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

ER -

Access to Document