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Features of Spatiotemporal Clustering in a Maunder Butterfly Diagram. / Volobuev, D. M.; Knyazeva, I. S.

в: Geomagnetism and Aeronomy, Том 59, № 8, 01.12.2019, стр. 1036-1041.

Результаты исследований: Научные публикации в периодических изданиях › статья › Рецензирование

Harvard

Volobuev, DM & Knyazeva, IS 2019, 'Features of Spatiotemporal Clustering in a Maunder Butterfly Diagram', Geomagnetism and Aeronomy, Том. 59, № 8, стр. 1036-1041. https://doi.org/10.1134/S0016793219080255

APA

Volobuev, D. M., & Knyazeva, I. S. (2019). Features of Spatiotemporal Clustering in a Maunder Butterfly Diagram. Geomagnetism and Aeronomy, 59(8), 1036-1041. https://doi.org/10.1134/S0016793219080255

Vancouver

Volobuev DM, Knyazeva IS. Features of Spatiotemporal Clustering in a Maunder Butterfly Diagram. Geomagnetism and Aeronomy. 2019 Дек. 1;59(8):1036-1041. https://doi.org/10.1134/S0016793219080255

Author

Volobuev, D. M. ; Knyazeva, I. S. / Features of Spatiotemporal Clustering in a Maunder Butterfly Diagram. в: Geomagnetism and Aeronomy. 2019 ; Том 59, № 8. стр. 1036-1041.

BibTeX

@article{eb6f10e206b142b991cd719b7697080f,
title = "Features of Spatiotemporal Clustering in a Maunder Butterfly Diagram",
abstract = "Abstract: The Maunder butterfly pattern is the most complete spatial-temporal representation of observed changes in solar activity in the 11-year cycle over a period of 12–24 cycle. The well-known empirical relation is used to transform Greenwich sunspot areas into magnetic flux, and the distances between the butterfly wings are then calculated with the Fisher–Rao metric. We found that the similarities or differences in the patterns of the individual butterfly wings in this metric are approximately the same for each hemisphere. The wings were the closest for a sequence of strong cycles, while there is a tendency for a series of weak cycles to form cycles in pairs with the implementation of an analog of the Gnevyshev–Olya rule.",
author = "Volobuev, {D. M.} and Knyazeva, {I. S.}",
note = "Funding Information: This work was supported by grant AP05134227 (Kazakhstan), and the work of D.M. Volobuev was partially supported by the Russian Foundation for Basic Research (project no. 19-02-00088). Publisher Copyright: {\textcopyright} 2019, Pleiades Publishing, Ltd. Copyright: Copyright 2020 Elsevier B.V., All rights reserved.",
year = "2019",
month = dec,
day = "1",
doi = "10.1134/S0016793219080255",
language = "English",
volume = "59",
pages = "1036--1041",
journal = "Geomagnetism and Aeronomy",
issn = "0016-7932",
publisher = "МАИК {"}Наука/Интерпериодика{"}",
number = "8",

}

RIS

TY - JOUR

T1 - Features of Spatiotemporal Clustering in a Maunder Butterfly Diagram

AU - Volobuev, D. M.

AU - Knyazeva, I. S.

N1 - Funding Information: This work was supported by grant AP05134227 (Kazakhstan), and the work of D.M. Volobuev was partially supported by the Russian Foundation for Basic Research (project no. 19-02-00088). Publisher Copyright: © 2019, Pleiades Publishing, Ltd. Copyright: Copyright 2020 Elsevier B.V., All rights reserved.

PY - 2019/12/1

Y1 - 2019/12/1

N2 - Abstract: The Maunder butterfly pattern is the most complete spatial-temporal representation of observed changes in solar activity in the 11-year cycle over a period of 12–24 cycle. The well-known empirical relation is used to transform Greenwich sunspot areas into magnetic flux, and the distances between the butterfly wings are then calculated with the Fisher–Rao metric. We found that the similarities or differences in the patterns of the individual butterfly wings in this metric are approximately the same for each hemisphere. The wings were the closest for a sequence of strong cycles, while there is a tendency for a series of weak cycles to form cycles in pairs with the implementation of an analog of the Gnevyshev–Olya rule.

AB - Abstract: The Maunder butterfly pattern is the most complete spatial-temporal representation of observed changes in solar activity in the 11-year cycle over a period of 12–24 cycle. The well-known empirical relation is used to transform Greenwich sunspot areas into magnetic flux, and the distances between the butterfly wings are then calculated with the Fisher–Rao metric. We found that the similarities or differences in the patterns of the individual butterfly wings in this metric are approximately the same for each hemisphere. The wings were the closest for a sequence of strong cycles, while there is a tendency for a series of weak cycles to form cycles in pairs with the implementation of an analog of the Gnevyshev–Olya rule.

UR - http://www.scopus.com/inward/record.url?scp=85082025157&partnerID=8YFLogxK

U2 - 10.1134/S0016793219080255

DO - 10.1134/S0016793219080255

M3 - Article

AN - SCOPUS:85082025157

VL - 59

SP - 1036

EP - 1041

JO - Geomagnetism and Aeronomy

JF - Geomagnetism and Aeronomy

SN - 0016-7932

IS - 8

ER -

ID: 71884694