Global Assimilative Ionospheric Model
Abstract
The long-term goal of our research is to develop a reliable and accurate global ionospheric weather monitoring and forecast system that can serve as a prototype for an operational system. To achieve this goal, we are developing and validating advanced data assimilation techniques to analyze diverse sources of ionospheric measurements. The assimilation of ionospheric measurements into mature first-principle ionospheric models will produce physically consistent, accurate ionospheric analysis, as well as the determination of important ionospheric drivers. As a result, this allows the generation of more accurate ionospheric weather forecasts. Our research activities maximally leverage the development of data assimilation techniques in the meteorological community. The application of general data assimilation techniques to ionospheric data analysis requires us to develop new mathematical techniques for both ionospheric modeling and optimization. This research will also help improve our understanding of the physics of the ionosphere and its response to magnetic storms, leading to a better characterization of severe space weather effects on power grids, communication, navigation, and other applications.
Document Details
- Document Type
- Technical Report
- Publication Date
- Sep 30, 2001
- Accession Number
- ADA622933
Entities
People
- Chunming Wang
- George Hajj
- Graham Bailey
- I. G. Rosen
- Xiaoqing Pi
Organizations
- University of Southern California