基于信息论的系统级Babcock-Leighton通量输运模型-数据比较

Simon Wing, Jay R. Johnson, Mausumi Dikpati and Yosia I. Nurhan
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摘要

系统级Babcock-Leighton通量输运模型数据的比较使用信息论进行。模型在最大子午流速度为16.5 m s−1的条件下运行,流速系统变化20% (BLFT20)和50% (BLFT50)。总的来说,比较表明,这些模型定性地捕获了环面场(太阳黑子数)、极场和经向流之间的大部分信息流。BLFT20总体上优于BLFT50,说明20%的经向流量变化可能比50%更真实。然而,从经向流到极场的信息流在BLFT50中被更好地捕获。在BLFT20和观测中,从太阳黑子数到极场的信息流比其他方式更多。从极场到太阳黑子数的信息流在滞后时间(τ)为~ 2年和7-9年时达到峰值。研究结果可以揭示太阳磁记忆的性质以及太阳湍流通量传输中的扩散/耗散过程和平流。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Information-theory-based System-level Babcock–Leighton Flux Transport Model–Data Comparisons
System-level Babcock–Leighton flux transport model–data comparisons are performed using information theory. The model is run with a maximum meridional flow speed of 16.5 m s−1 with the flow speed systematically varied by 20% (BLFT20) and 50% (BLFT50). Overall, the comparisons show that the models qualitatively capture much of the information flow among the toroidal field (sunspot number), polar field, and meridional flow. BLFT20 generally compares better than BLFT50, suggesting that meridional flow variation of 20% may be more realistic than 50%. However, the information flow from the meridional flow to the polar field is captured better in BLFT50. There is more information flow from the sunspot number to the polar field than the other way around in BLFT20 and observations. The information flow from the polar field to the sunspot number peaks at lag times (τ) of ∼2 yr and 7–9 yr. The results can shed light on the nature of the Sun’s magnetic memory and the diffusive/dissipative processes and advection in the turbulent flux transport at the Sun.
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