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Repeat station data compared to a global geomagnetic field model

机译:与全球地磁场模型比较重复站数据

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Geomagnetic repeat station surveys with local variometers for improved data reductions have been carried out in Germany for about ten years. For nearly the same time interval the satellites ?rsted and CHAMP have provided a good magnetic field data coverage of the whole globe. Recent global field models based on these satellite data together with geomagnetic observatory data provide an improved description of the core field and secular variation. We use the latest version of the GFZ Reference Internal Magnetic Model to compare the magnetic field evolution predicted by that model between 2001 and 2010 to the independent repeat station data collected over the same time interval in Germany. Estimates of crustal bias at the repeat station locations are obtained as averages of the residuals, and the scatter or trend around each average provides information about influences in the data from field sources not (fully) described by the global model. We find that external magnetic field signal in the order of several nT, including long-term trends, remains both in processed annual mean and quiet night time repeat station data. We conclude that the geomagnetic core field secular variation in this area is described to high accuracy (better than 1 nT/yr) by the global model. Weak long-term trends in the residuals between repeat station data and the model might indicate induced lithospheric anomalies, but more data are necessary for a robust analysis of such signals characterized by very unfavorable signal-to-noise ratio.
机译:在德国进行了大约10年的用局部测速计进行地磁重复站勘测,以改善数据精简的情况。在几乎相同的时间间隔内,人造卫星和CHAMP卫星提供了覆盖整个地球的良好磁场数据。基于这些卫星数据以及地磁观测数据的最新全球磁场模型提供了对核心磁场和长期变化的改进描述。我们使用最新版的GFZ参考内部磁场模型将该模型在2001年至2010年之间预测的磁场演化与德国在相同时间间隔内收集的独立重复站数据进行比较。重复站位置的地壳偏向估计值作为残差的平均值获得,每个平均值周围的散布或趋势提供了有关数据的影响的信息,而该数据并未(由整体模型描述)。我们发现,外部磁场信号的数量级(包括长期趋势)约为nT,既保持在已处理的年均值中,又保持在安静的夜间重复站数据中。我们得出的结论是,该区域的地磁核心场长期变化被描述为具有较高的准确性(优于1 nT / yr)。重复站数据和模型之间残差的长期长期趋势可能表明岩石圈异常,但是要对此类信号进行鲁棒分析,需要更多数据,这些信号的信噪比非常不利。

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