Analysis of ARGOS Data, Algorithm Development and Spectroscopic Modeling for Space Weather Applications.

摘要

The focus of our research is the global remote sensing of the ionosphere via ultraviolet emissions observed from space. We are developing optimal methods for inverting satellite-based measurements using nonlinear techniques. One aspect of this work involves understanding the effects of latitude gradients and including these in the inversion algorithm. Another primary concern is development of rigorous error estimation techniques. A second aspect of this project involves high-resolution synthesis and modeling of UV emissions based on recent laboratory measurements. The scientific objectives are to develop a 2-D model, inversion codes and other computer tools needed to understand and use UV observations from space. These tools should be tested on real spacecraft observations. The second objective is to generate high-resolution synthetic spectra of O(2) for analysis of future observations.