Space Weather: Modeling and Forecast of the Geospace Magnetic Field, Based on Satellite Data

空间天气：基于卫星数据的地球空间磁场建模和预测

• 批准号: 9819873
• 负责人: Nikolai Tsyganenko
• 金额: $ 23.16万
• 依托单位: Raytheon Technical Services Company
• 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: 1999-07-01 至 2002-03-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9819873&HistoricalAwards=false
• 关键词: Space; Weather; Modeling; Forecast; Geospace

This program will develop a quantitative relation between the observed solar wind and variations in the magnetic field in the Earth's magnetosphere. The new magnetic field model will be based on the previous work done by the PI in developing magnetospheric field models. New data sets from the POLAR, GEOTAIL, CRRES, and GOES satellites will be correlated with Solar Wind parameters measured by the WIND and ACE satellites. This program will make significant improvements to the most widely used magnetic field model in the Space physics and Space Weather community. By indexing the resulting model to solar wind conditions it will provide a greatly improved forecast ability.

该方案将建立观测到的太阳风与地球磁层磁场变化之间的定量关系。 新的磁场模型将基于PI以前在开发磁层场模型方面所做的工作。 来自POLAR、GEOTAIL、CRRES和GOES卫星的新数据集将与WIND和ACE卫星测量的太阳风参数相关联。 该计划将对空间物理和空间气象界最广泛使用的磁场模型进行重大改进。 通过将所得到的模型索引到太阳风条件，它将提供大大提高的预测能力。