Space Weather: Forecasting Relativistic Electron Fluxes at Synchronous Orbit

空间天气：预测同步轨道上的相对论电子通量

• 批准号: 9819935
• 负责人: Robert McPherron
• 金额: $ 15万
• 依托单位: University of California-Los Angeles
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 1999
• 资助国家: 美国
• 起止时间: 1999-06-01 至 2002-11-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9819935&HistoricalAwards=false
• 关键词: Space; Weather; Forecasting; Relativistic; Electron

This program will utilize some new techniques for predicting the fluxes of relativistic electrons at geosynchronous orbit. This is an important topic in Space Weather because energetic electrons at geosynchronous orbit at the "killer electrons" that are capable of damaging or disabling satellites that are place in geostationary orbit. This program will first create a large database on electron fluxes derived from a variety of DoE, NASA, and NOAA satellites. These data will be combined with data on the solar wind, magnetospheric data and ground-based data to produce a correlated database for empirical studies. Mapping functions will then be developed that will transform observations made at an arbitrary local time to local noon. Time series of noon-time fluxes can then be used with a variety of prediction techniques, such as linear predictive filters and neural networks to produce a new predictive capability for the fluxes

这个程序将利用一些新技术来预测地球同步轨道上相对论电子的通量。这是空间气象中的一个重要课题，因为地球同步轨道上的高能电子是能够破坏或使地球静止轨道上的卫星失效的“杀手电子”。该计划将首先建立一个大型的电子通量数据库，该数据库来自美国能源部、美国宇航局和美国国家海洋和大气管理局的各种卫星。这些数据将与太阳风数据、磁层数据和地面数据结合起来，形成一个相关的数据库，用于实证研究。然后将开发映射功能，将在任意当地时间进行的观测转换为当地中午。然后，时间序列的非时间通量可以与各种预测技术一起使用，例如线性预测滤波器和神经网络，以产生新的通量预测能力