Toward a live homogeneous database of solar active regions based on SOHO/MDI and SDO/HMI synoptic magnetograms.II.parameters for solar cycle variability
Ruihui Wang, Jie Jiang, and Yukun Luo

TL;DR
This paper presents a comprehensive database of solar active regions' dipole fields from 1996, highlighting the importance of using real configurations over approximations for accurate solar cycle predictions.
Contribution
It introduces a detailed database of AR dipole fields, compares approximation methods, and identifies key ARs influencing solar cycle variability.
Findings
The BMR approximation deviates significantly for final dipole fields.
Approximately 500 top ARs are needed to estimate polar fields at cycle minimum.
Collective impact of ARs reduces total dipole field over a cycle.
Abstract
Solar active regions (ARs) determine solar polar fields and cause solar cycle variability within the framework of the Babcock-Leighton (BL) dynamo. The contribution of an AR to the polar field is measured by its dipole field, which results from flux emergence and subsequent flux transport over the solar surface. The dipole fields contributed by an AR before and after the flux transport are referred to as the initial and final dipole fields, respectively. For a better understanding and prediction of solar cycles, in this paper, we provide a database including AR's initial and final dipole fields and the corresponding results of their bipolar magnetic region (BMR) approximation from 1996 onwards. We also identify the repeated ARs and provide the optimized transport parameters. Based on our database, we find that although the commonly used BMR approximation performs well for the initial…
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Taxonomy
TopicsSolar and Space Plasma Dynamics · Solar Radiation and Photovoltaics
