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A Low-Dimensional Dynamical Model for the Solar Wind Driven Geotail-Ionosphere System

A Low-Dimensional Dynamical Model for the Solar Wind Driven Geotail-Ionosphere System
太阳风驱动的地球尾电离层系统的低维动力学模型
批准号:
9726271
负责人:
Wendell Horton
金额:
$30.02万
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
1998
资助国家:
美国
项目状态:
已结题
起止时间:
1998-01-01 至 2000-02-29

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中文摘要
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英文摘要
Research would be undertaken to evaluate a six-dimensional state space model for the basic energy components of the night-side magnetosphere coupled to the ionosphere by region 1 currents. This model provides a physics based alternative to empirical forecasting techniques. The evaluation of this physics based model with involve (1) a critical comparison of the model results to data- based prediction filters, (2) couple the model to particle simulations, comparing the results to geomagnetic indices within the Bargatze event data set, and compare the model's nonlinear dynamical response to that of the magnetosphere as deduced from state space analysis of magnetosphere as deduced from state space analysis of magnetospheric variables.
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Physics Modeling of Solar Wind Driven Storms and Substorms in the Earth's Magnetosphere-Ionosphere System
  • 批准号:
    0964692
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $36.36万
  • 财政年份:
    2010
  • 负责人:
    Wendell Horton
  • 依托单位:
US-Egypt Cooperative Research: Monitoring the Ionospheric Weather Over Egypt Using a Chain of Coherent Ionosphere Doppler Receivers
  • 批准号:
    0810937
  • 项目类别:
    Standard Grant
  • 资助金额:
    $8.87万
  • 财政年份:
    2008
  • 负责人:
    Wendell Horton
  • 依托单位:
Storms and Substorms from Kinetic Plasma Theory Modeling
  • 批准号:
    0638480
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $32.0万
  • 财政年份:
    2007
  • 负责人:
    Wendell Horton
  • 依托单位:
Plasma Dynamics in the Solar Wind Driven Magnetosphere-Ionosphere System
  • 批准号:
    0539099
  • 项目类别:
    Standard Grant
  • 资助金额:
    $7.0万
  • 财政年份:
    2006
  • 负责人:
    Wendell Horton
  • 依托单位:
国内基金
海外基金
Scalable Learning and Optimization: High-dimensional Models and Online Decision-Making Strategies for Big Data Analysis