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逆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将康斯特布尔和帕克的巨高斯过程(GGP)模型推广到地磁长期变化的统计中，以将其他长期变化模型纳入更一般的框架。这涉及到根据纬度和现有的古地磁数据对预期的VGP和场散进行预测。强度测量也将用于改进模型。模拟将被用来评估不同类型的剩磁获取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相关的时间常数。很可能，除了方差，这些都是古地磁学家可以为发电机理论家提供的最有用的参数。

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.