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Low-Dimensional Models for Solar Wind Driven Magnetosphere-Ionosphere System

Low-Dimensional Models for Solar Wind Driven Magnetosphere-Ionosphere System
太阳风驱动磁层-电离层系统的低维模型
批准号：
9907637
负责人：
Wendell Horton
金额：
$35.05万
依托单位：
University of Texas at Austin
依托单位国家：
美国
项目类别：
Continuing Grant
财政年份：
2000
资助国家：
美国
项目状态：
已结题
起止时间：
2000-04-01 至 2003-03-31
来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=9907637&HistoricalAwards=false
关键词：
LowDimensionalModelsSolarWind

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中文摘要
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英文摘要
This project will further develop the WINDMI model of the magnetospheric tail and its interaction with the ionosphere. The technique used is the reduction of the system to a dynamical model with a small number of dynamical parameters. This reduction to a low dimensional order makes it possible to model and predict the behavior of the system without resorting to extremely complex numerical simulations such as MHD simulations and kinetic particle simulations. This model is of particular applicability to the growth, triggering and recovery of magnetospheric substorms.
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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：
    University of Texas at Austin
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：
    University of Texas at Austin
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：
    University of Texas at Austin
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：
    University of Texas at Austin
国内基金
海外基金
Scalable Learning and Optimization: High-dimensional Models and Online Decision-Making Strategies for Big Data Analysis