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Nonlinear Mean‐Field Dynamos With Magnetic Helicity Transport and Solar Activity: Sunspot Number and Tilt. / Kleeorin, Nathan; Kuzanyan, Kirill; Rogachevskii, Igor и др.
Helicities in Geophysics, Astrophysics, and Beyond: book. John Wiley & Sons Inc., 2023. стр. 217-240 (Helicities in Geophysics, Astrophysics, and Beyond).

Результаты исследований: Глава в книге, отчете, сборнике статейГлаваРецензирование

Harvard

Kleeorin, N, Kuzanyan, K, Rogachevskii, I & Safiullin, N 2023, Nonlinear Mean‐Field Dynamos With Magnetic Helicity Transport and Solar Activity: Sunspot Number and Tilt. в Helicities in Geophysics, Astrophysics, and Beyond: book. Helicities in Geophysics, Astrophysics, and Beyond, John Wiley & Sons Inc., стр. 217-240. https://doi.org/10.1002/9781119841715.ch15

APA

Kleeorin, N., Kuzanyan, K., Rogachevskii, I., & Safiullin, N. (2023). Nonlinear Mean‐Field Dynamos With Magnetic Helicity Transport and Solar Activity: Sunspot Number and Tilt. в Helicities in Geophysics, Astrophysics, and Beyond: book (стр. 217-240). (Helicities in Geophysics, Astrophysics, and Beyond). John Wiley & Sons Inc.. https://doi.org/10.1002/9781119841715.ch15

Vancouver

Kleeorin N, Kuzanyan K, Rogachevskii I, Safiullin N. Nonlinear Mean‐Field Dynamos With Magnetic Helicity Transport and Solar Activity: Sunspot Number and Tilt. в Helicities in Geophysics, Astrophysics, and Beyond: book. John Wiley & Sons Inc. 2023. стр. 217-240. (Helicities in Geophysics, Astrophysics, and Beyond). doi: 10.1002/9781119841715.ch15

Author

Kleeorin, Nathan ; Kuzanyan, Kirill ; Rogachevskii, Igor и др. / Nonlinear Mean‐Field Dynamos With Magnetic Helicity Transport and Solar Activity: Sunspot Number and Tilt. Helicities in Geophysics, Astrophysics, and Beyond: book. John Wiley & Sons Inc., 2023. стр. 217-240 (Helicities in Geophysics, Astrophysics, and Beyond).

BibTeX

@inbook{118d4bb970a740d5b53573ec63fdd30a,
title = "Nonlinear Mean‐Field Dynamos With Magnetic Helicity Transport and Solar Activity: Sunspot Number and Tilt",
abstract = "In this chapter, we discuss a mean field solar dynamo model with algebraic and dynamic nonlinearities, various mechanisms of sunspot formation, and prediction of solar activity. The algebraic nonlinearity describes the quenching of the alpha effect, turbulent magnetic diffusion, and the effective pumping velocity due to feedback from the growing large-scale magnetic field on the fluid motion. The dynamic nonlinearity is due to the evolution of the magnetic helicity of the small-scale magnetic field during the nonlinear stage of the dynamo; it is derived from conservation of the total (large-scale plus small-scale) magnetic helicity for very small microscopic magnetic diffusivity.We discuss observations of magnetic helicity in the Sun and their connection with the nonlinear mean field dynamo. We derive a budget equation for sunspot numbers taking into account sunspot formation mechanism due to the negative effective magnetic pressure instability. To predict solar activity, we use dynamo simulations as input to an artificial neural network that learns sunspot dynamics from available observations. Finally, we analyze the contribution of magnetic helicity transport to the formation of tilt in sunspot bipolar regions and compare the results with available observational data over the last 10 solar cycles (15-24).",
author = "Nathan Kleeorin and Kirill Kuzanyan and Igor Rogachevskii and Nikolai Safiullin",
year = "2023",
month = dec,
day = "15",
doi = "10.1002/9781119841715.ch15",
language = "English",
isbn = "978-111984171-5",
series = "Helicities in Geophysics, Astrophysics, and Beyond",
publisher = "John Wiley & Sons Inc.",
pages = "217--240",
booktitle = "Helicities in Geophysics, Astrophysics, and Beyond",
address = "United States",

}

RIS

TY - CHAP

T1 - Nonlinear Mean‐Field Dynamos With Magnetic Helicity Transport and Solar Activity: Sunspot Number and Tilt

AU - Kleeorin, Nathan

AU - Kuzanyan, Kirill

AU - Rogachevskii, Igor

AU - Safiullin, Nikolai

PY - 2023/12/15

Y1 - 2023/12/15

N2 - In this chapter, we discuss a mean field solar dynamo model with algebraic and dynamic nonlinearities, various mechanisms of sunspot formation, and prediction of solar activity. The algebraic nonlinearity describes the quenching of the alpha effect, turbulent magnetic diffusion, and the effective pumping velocity due to feedback from the growing large-scale magnetic field on the fluid motion. The dynamic nonlinearity is due to the evolution of the magnetic helicity of the small-scale magnetic field during the nonlinear stage of the dynamo; it is derived from conservation of the total (large-scale plus small-scale) magnetic helicity for very small microscopic magnetic diffusivity.We discuss observations of magnetic helicity in the Sun and their connection with the nonlinear mean field dynamo. We derive a budget equation for sunspot numbers taking into account sunspot formation mechanism due to the negative effective magnetic pressure instability. To predict solar activity, we use dynamo simulations as input to an artificial neural network that learns sunspot dynamics from available observations. Finally, we analyze the contribution of magnetic helicity transport to the formation of tilt in sunspot bipolar regions and compare the results with available observational data over the last 10 solar cycles (15-24).

AB - In this chapter, we discuss a mean field solar dynamo model with algebraic and dynamic nonlinearities, various mechanisms of sunspot formation, and prediction of solar activity. The algebraic nonlinearity describes the quenching of the alpha effect, turbulent magnetic diffusion, and the effective pumping velocity due to feedback from the growing large-scale magnetic field on the fluid motion. The dynamic nonlinearity is due to the evolution of the magnetic helicity of the small-scale magnetic field during the nonlinear stage of the dynamo; it is derived from conservation of the total (large-scale plus small-scale) magnetic helicity for very small microscopic magnetic diffusivity.We discuss observations of magnetic helicity in the Sun and their connection with the nonlinear mean field dynamo. We derive a budget equation for sunspot numbers taking into account sunspot formation mechanism due to the negative effective magnetic pressure instability. To predict solar activity, we use dynamo simulations as input to an artificial neural network that learns sunspot dynamics from available observations. Finally, we analyze the contribution of magnetic helicity transport to the formation of tilt in sunspot bipolar regions and compare the results with available observational data over the last 10 solar cycles (15-24).

UR - http://www.scopus.com/inward/record.url?partnerID=8YFLogxK&scp=85191777039

U2 - 10.1002/9781119841715.ch15

DO - 10.1002/9781119841715.ch15

M3 - Chapter

SN - 978-111984171-5

SN - 978-111984168-5

T3 - Helicities in Geophysics, Astrophysics, and Beyond

SP - 217

EP - 240

BT - Helicities in Geophysics, Astrophysics, and Beyond

PB - John Wiley & Sons Inc.

ER -

ID: 56636630