Climate classification in the Northern Hemisphere using envelopes of temperature signals

Аннотация

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 оригинала	Английский
Номер статьи	012003
Журнал	IOP Conference Series: Earth and Environmental Science
Том	211
Номер выпуска	1
DOI	https://doi.org/10.1088/1755-1315/211/1/012003
Состояние	Опубликовано - 17 дек 2018
Событие	International Conference and Early Career Scientists School on Environmental Observations, Modeling and Information Systems, ENVIROMIS 2018 - Tomsk, Российская Федерация Продолжительность: 5 июл 2018 → 11 июл 2018

ASJC Scopus subject areas

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

Доступ к документу

10.1088/1755-1315/211/1/012003

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Цитировать

Volkov, Y. V., Tartakovsky, V. A., Cheredko, N. N., Maximov, V. G., Kabanov, M. M., & Kapustin, S. N. (2018). Climate classification in the Northern Hemisphere using envelopes of temperature signals. IOP Conference Series: Earth and Environmental Science, 211(1), [012003]. https://doi.org/10.1088/1755-1315/211/1/012003

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.

В: IOP Conference Series: Earth and Environmental Science, Том 211, № 1, 012003, 17.12.2018.

Результат исследований: Материалы для журнала

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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.}",

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AU - Kabanov, M. M.

AU - Kapustin, S. N.

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