Global and Multi-Scale Dynamics of the Magnetosphere: Nonlinear Dynamical Modeling Using Time Series Data

磁层的全局和多尺度动力学：使用时间序列数据的非线性动力学建模

• 批准号: 0119196
• 负责人: A Surjalal Sharma
• 金额: $ 36万
• 依托单位: University of Maryland, College Park
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2002
• 资助国家: 美国
• 起止时间: 2002-06-01 至 2005-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0119196&HistoricalAwards=false
• 关键词: Global; Multi; Scale; Dynamics; Magnetosphere

The response of the Earth's magnetosphere to the effects of the solar wind is complex and non-linear. The behavior exhibits features characteristic of coupling over multiple spatial and temporal scales. This project will develop models of the magnetosphere based on the framework of phase transitions and multi-scale coupling. Data from ground-based and spacecraft-based instruments will be used to study the time evolution of various features in the magnetosphere. Techniques such as nonlinear filters, multifractal spectra, mutual information, and multi-scale singular spectrum analysis will be used to characterize the observed features. These studies will complement models based on first principles.

地球磁层对太阳风影响的反应是复杂和非线性的。 该行为表现出多时空尺度耦合的特征。 该项目将在相变和多尺度耦合框架的基础上开发磁层模型。 地面和航天器上的仪器提供的数据将用于研究磁层各种特征随时间的演变。 将使用非线性滤波器、多重分形谱、互信息和多尺度奇异谱分析等技术来表征观测到的特征。 这些研究将补充基于基本原则的模型。