Space Weather: Global and Regional Forecasting of Geomagnetic Activity with Nonlinear Dynamical Models

空间天气：利用非线性动力学模型预测全球和区域地磁活动

• 批准号: 9713479
• 负责人: A Surjalal Sharma
• 金额: $ 24.99万
• 依托单位: University of Maryland, College Park
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 1997
• 资助国家: 美国
• 起止时间: 1997-10-01 至 2000-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9713479&HistoricalAwards=false
• 关键词: Space; Weather; Global; Regional; Forecasting

This project will undertake the development of a database of ground magnetometers which will be utilized to extend the nonlinear state space reconstruction technique to include spatially resolved predictions and validation. The objective of this work is to produce quantitative regional predictions of geomagnetic activity through the assimilation of ground based and satellite data. The validation work needed to transition the research algorithm will be undertaken and the near real-time results of the algorithm will be available via the WWW.

该项目将开发一个地面磁力计数据库，用于扩展非线性状态空间重建技术，以包括空间分辨预测和验证。 这项工作的目标是通过地面和卫星数据的同化，对地磁活动进行定量的区域预测。 将进行转换研究算法所需的验证工作，并将通过万维网提供该算法的近实时结果。