4.7 Article

A COUPLED 2 x 2D BABCOCK-LEIGHTON SOLAR DYNAMO MODEL. II. REFERENCE DYNAMO SOLUTIONS

期刊

ASTROPHYSICAL JOURNAL
卷 834, 期 2, 页码 -

出版社

IOP PUBLISHING LTD
DOI: 10.3847/1538-4357/834/2/133

关键词

dynamo; Sun: activity; Sun: interior; Sun: magnetic fields; Sun: photosphere; sunspots

资金

  1. Fonds de Recherche du Quebec Nature et Technologies
  2. Natural Science and Engineering Research Council of Canada

向作者/读者索取更多资源

In this paper we complete the presentation of a new hybrid 2 x 2D flux transport dynamo (FTD) model of the solar cycle based on the Babcock-Leighton mechanism of poloidal magnetic field regeneration via the surface decay of bipolar magnetic regions (BMRs). This hybrid model is constructed by allowing the surface flux transport (SFT) simulation described in Lemerle et al. to provide the poloidal source term to an axisymmetric FTD simulation defined in a meridional plane, which in turn generates the BMRs required by the SFT. A key aspect of this coupling is the definition of an emergence function describing the probability of BMR emergence as a function of the spatial distribution of the internal axisymmetric magnetic field. We use a genetic algorithm to calibrate this function, together with other model parameters, against observed cycle 21 emergence data. We present a reference dynamo solution reproducing many solar cycle characteristics, including good hemispheric coupling, phase relationship between the surface dipole and the BMR-generating internal field, and correlation between dipole strength at cycle maximum and peak amplitude of the next cycle. The saturation of the cycle amplitude takes place through the quenching of the BMR tilt as a function of the internal field. The observed statistical scatter about the mean BMR tilt, built into the model, acts as a source of stochasticity which dominates amplitude fluctuations. The model thus can produce Dalton-like epochs of strongly suppressed cycle amplitude lasting a few cycles and can even shut off entirely following an unfavorable sequence of emergence events.

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