Statistical Simulations of Geomagnetic Secular Variation andReversals, or Can Paleomagnetism Help Dynamo Theory?

这个项目是利用地磁长期变化和反转的统计模拟来评估古地磁数据对我们理解地磁场的贡献。这项工作的首要任务是扩展Constable和Parker的巨高斯过程（GGP）模型，用于地磁长期变化的统计，将其他长期变化模型纳入更一般的框架。这包括对预期的VGP和场色散作为纬度的函数进行预测，以便进行比较和可用的古地磁数据。强度测量也将用于改进模型。模拟将用于评估不同类型的剩余物采集对古地磁记录的影响。GGP模型的一个重要特征是与场的变化有关的时间常数。这很可能是古地磁学家可以为发电机理论家提供的最有用的参数，再加上方差。

This project is to use statistical simulations of geomagnetic secular variations and reversals to assess what contributions paleomagnetic data can make to our understanding of the geomagnetic field. A high priority in this work is to extend Constable and Parker's Giant Gaussian Process (GGP) model for the statistics of the geomagnetic secular variation to incorporate other secular variation models into a more general framework. This involves making predictions about expected VGP and field dispersion as a function of latitude for comparison and available paleomagnetic data. Intensity measurements will also be used to refine the model. Simulations will be used to assess the effects of different types of remanence acquistion on paleomagnetic records. An important feature in the GGP model is the time constants associated with variations in the field. It may well be that, along with the variance, these are the most useful parameters that paleomagnetists can provide for dynamo theoreticians.