Nonlinear Modeling and Prediction with Time Series Data

该项目旨在推进经验技术，以模拟磁层动态，其特点是从磁数据中得出各种地面指数。 工作重点将是开发非线性动力学模型，以处理从观测时间序列数据分析中获得的磁层扰动的空间结构。 将研究磁层不同区域之间的耦合，以建立预测局部行为的模型。 该项目在利用多点地面卫星数据开发磁层不同区域动态行为的多变量模型和分析该模型以确定可补充第一原理模型开发的主要物理过程方面将是新颖的。

The project is directed toward the advancement of empirical techniques to model the magnetospheric dymamics as characterized by various ground-based indices derived from magnetic data. Effort will be focused in the development of nonlinear dynamical models which address the spatial structure of agnetospheric disturbances obtained from the analysis of observational time series data. Coupling between different regions of the magnetosphere will be studied to build models to predict the local behavior. The project will be novel in the use of multi-point groundbased satellite data for the development of a multivariate model of the dynamic behavior of different regions of the magnetosphere and for the analysis of this model to identify dominant physical processes which may complement the development of first principle models.