论文标题
最佳黑子数序列的迭代结构
Iterative construction of the optimal sunspot number series
论文作者
论文摘要
黑子的相对数量代表了描述太阳活动水平的最长证据。因此，它的用途超出了太阳能物理学，例如走向气候研究。单个代表性系列的构建是一项精致的任务，涉及对许多观察者的观察结合。我们提出了一种新的迭代算法，该算法允许通过许多观察者获得的最佳组合序列来构建一个假设稳定观察者的目标序列。我们表明，我们的方法论为我们提供了与最近对黑子数和组号的重建相当的结果。此外，该方法可以解释观察者时间序列的可能的非极性变化，例如逐渐改变观察条件或观察者视觉变化缓慢。它还为我们提供了重建不确定性。我们将方法应用于有限的观测样本，并讨论其属性和局限性。
The relative number of sunspots represents the longest evidence describing the level of solar activity. As such, its use goes beyond solar physics, e.g. towards climate research. The construction of a single representative series is a delicate task which involves a combination of observation of many observers. We propose a new iterative algorithm that allows to construct a target series of relative sunspot number of a hypothetical stable observer by optimally combining series obtained by many observers. We show that our methodology provides us with results that are comparable with recent reconstructions of both sunspot number and group number. Furthermore, the methodology accounts for the possible non-solar changes of observers' time series such as gradually changing observing conditions or slow change in the observers vision. It also provides us with reconstruction uncertainties. We apply the methodology to a limited sample of observations by ČESLOPOL network and discuss its properties and limitations.
