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首页> 外文期刊>Astronomy and astrophysics >Reconstructing solar magnetic fields from historical observations - II. Testing the surface flux transport model
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Reconstructing solar magnetic fields from historical observations - II. Testing the surface flux transport model

机译:从历史观察中重建太阳磁场 - II。测试表面磁通传输模型

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摘要

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.
机译:目标。我们的目标是使用表面磁通传输模型来模拟历史观测的光学磁场的长期演变。在这项工作中,我们研究模型的准确性及其对其主要参数和输入数据的不确定性的敏感性。方法。我们通过使用不同的子午线循环和超级扩散参数的不同值运行模拟来测试模型,并研究了有源区内的磁通量和初始磁场的磁通量如何影响模拟。我们比较结果以评估模拟如何对化学循环速度,超级扩散和输入数据的不确定性的敏感性。我们还将模拟磁场与观察结果进行了比较。结果。我们发现模拟与观察之间通常有良好的一致性。虽然该模型不能复制磁场的细节,但极地场的长期演变在模拟和观察中非常相似。仿真通常产生比观察结果更平滑的极性场的演变,这通常包括由于观察限制而导致的人为变化。我们还发现模拟字段对模型参数或输入数据中的不确定性非常不敏感。由于模型中包含的衰减术语,不确定因素的效果有点轻微或临时,持久,通常是一个太阳循环。

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