Space Weather: Radiation Belt Specification and Forecasting with Data Assimilation

空间天气：辐射带规范和数据同化预报

• 批准号: 0208341
• 负责人: Daniel Baker
• 金额: $ 30万
• 依托单位: University of Colorado at Boulder
• 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: 2002-07-01 至 2005-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0208341&HistoricalAwards=false
• 关键词: Space; Weather; Radiation; Belt; Specification

This project will use four-dimensional data assimilation to dynamically specify the condition of the Earth's electron radiation belts from very near the Earth's surface out to a distance of 10 Earth radii. It will utilize data from the Los Alamos geostationary satellites, the NOAA GOES satellites and the GPS satellites. Additional data will come from the SAMPEX and Polar satellites. Two empirical prediction techniques will be used. The first is an Auto-Regressive Moving Average model based on linear system identification theory. The second is a model based on the concept of historical analogs. The two techniques will be compared with one another in order to determine under what conditions each technique is most appropriate.

该项目将使用四维数据同化来动态地确定从非常近的地球表面到10个地球半径的距离的地球电子辐射带的状况。它将利用洛斯阿拉莫斯地球静止卫星、NOAA Go卫星和GPS卫星的数据。其他数据将来自SAMPEX和Polar卫星。将使用两种经验预测技术。第一种是基于线性系统辨识理论的自回归滑动平均模型。第二种是基于历史类比概念的模型。这两种技术将相互比较，以确定在什么条件下每种技术都是最合适的。