首页> 外文期刊>Contributions to Geophysics and Geodesy >Substitution for lost one-hour means of the geomagnetic elements for the first half of the 20-th century at the Hurbanovo Geomagnetic Observatory by means of neural networks
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Substitution for lost one-hour means of the geomagnetic elements for the first half of the 20-th century at the Hurbanovo Geomagnetic Observatory by means of neural networks

机译:通过神经网络在20世纪上半叶在Hurbanovo地磁天文台替代一小时的地磁元素损失

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The existence of long-acting observatories by itself does not guarantee that their historical magnetograms are available or complete. In the archive of the Hurbanovo Geomagnetic Observatory (acronym HRB; geographical coordinates 47.86 ? N, 18.19 ? E), records of the geomagnetic field made on photo paper covering the period between the two World Wars were found for which the values of the baselines are unknown. We studied if a feed-forward neural network with one hidden layer can be used to supplement one-hour means of the geomagnetic elements D, H and Z of observatory HRB, using for this purpose the geomagnetic data of observatories Potsdam, Seddin and Niemegk (all of them being referenced to Niemegk). We focused our interest on the first half of the 20-th century. The neural-network model for element D proved to be applicable to substitute for the lost data of the magnetic declination at observatory HRB; however, the usability of the model for both elements H and Z turned out to be limited to a few years close to beginning or end of data gaps. Further we supplemented the time series of annual means of geomagnetic elements D, H and Z at observatory HRB with the model data.
机译:长效观测站本身的存在并不能保证其历史磁图是可用的或完整的。在Hurbanovo地磁天文台的档案中(缩写为HRB;地理坐标为47.86?N,18.19?E),在相纸上记录了两次世界大战之间的期间的地磁场记录,其基线值为未知。我们研究了是否可以使用具有一个隐藏层的前馈神经网络来补充天文台HRB的地磁元素D,H和Z的一小时平均值,为此目的使用天文台波茨坦,塞丁和尼梅克的地磁数据(所有这些都被引用为Niemegk)。我们将注意力集中在20世纪上半叶。事实证明,D元的神经网络模型可用于替代天文台HRB磁偏角的丢失数据。但是,该模型对于元素H和Z的可用性都被限制为接近数据缺口开始或结束的几年。此外,我们用模型数据补充了天文台HRB的地磁元素D,H和Z的年平均时间序列。

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