Space Weather: Specification and Dynamics of the Magnetospheric State

本项目将结合DMSP和NOAA极地轨道航天器1984 - 1997年的数据，开发和计算磁尾拉伸、开/闭边界位置和形状、封闭开放磁通量等指标。基于神经网络的自动化技术将用于处理大量数据，以建立一个包含磁层状态信息的数据库。这将使统计和预测筛选研究成为可能，并为社区提供指数的一般可用性。研究人员将利用该数据库进行相关性和预测过滤研究。

This project will combine data from the DMSP and NOAA polar orbiting spacecraft from 1984 - 1997 to develop and compute indices representing magnetotail stretching, the open/closed boundary location and shape, and the enclosed open magnetic flux. Automated techniques based on neural nets will be used to process the vast amounts of data to develop a database containing information on the magnetospheric state. This will enable statistical and prediciton filter studies as well as provide general availability of the indices for community use. The investigators will utilize the database for correlation and prediction filter studies.