Virtanen, I. O. I. and Virtanen, I. I. and Pevtsov, A. A. and Yeates, A. and Mursula, K. (2017) 'Reconstructing solar magnetic fields from historical observations.', Astronomy & astrophysics., 604 . A8.
Abstract
Aims. We aim to use the surface flux transport model to simulate the long-term evolution of the photospheric magnetic field from historical observations. In this work we study the accuracy of the model and its sensitivity to uncertainties in its main parameters and the input data. Methods. We tested the model by running simulations with different values of meridional circulation and supergranular diffusion parameters, and studied how the flux distribution inside active regions and the initial magnetic field affected the simulation. We compared the results to assess how sensitive the simulation is to uncertainties in meridional circulation speed, supergranular diffusion, and input data. We also compared the simulated magnetic field with observations. Results. We find that there is generally good agreement between simulations and observations. Although the model is not capable of replicating fine details of the magnetic field, the long-term evolution of the polar field is very similar in simulations and observations. Simulations typically yield a smoother evolution of polar fields than observations, which often include artificial variations due to observational limitations. We also find that the simulated field is fairly insensitive to uncertainties in model parameters or the input data. Due to the decay term included in the model the effects of the uncertainties are somewhat minor or temporary, lasting typically one solar cycle.
Item Type: | Article |
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Full text: | (VoR) Version of Record Download PDF (4984Kb) |
Status: | Peer-reviewed |
Publisher Web site: | https://doi.org/10.1051/0004-6361/201730415 |
Publisher statement: | Reproduced with permission from Astronomy & Astrophysics, © ESO 2017 |
Date accepted: | 13 April 2017 |
Date deposited: | 18 August 2017 |
Date of first online publication: | 26 July 2017 |
Date first made open access: | 18 August 2017 |
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