Algorithm Development and Spectroscopic Modeling for Space Weather Applications

Abstract

LONG-TERM GOAL. 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. SCIENTIFIC OBJECTIVES. 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 O2 for analysis of future observations.

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Document Details

Document Type
Technical Report
Publication Date
Sep 30, 1997
Accession Number
ADA634669

Entities

People

  • Ken Minschwaner
  • Ronald J. Thomas

Organizations

  • New Mexico Institute of Mining and Technology

Tags

Communities of Interest

  • Space

DTIC Thesaurus Topics

  • Absorption
  • Algorithms
  • Electrical Engineering
  • Electron Density
  • Electronic Mail
  • Electrons
  • Emission Spectra
  • High Resolution
  • Ionosphere
  • Measurement
  • Military Research
  • New Mexico
  • Remote Sensing
  • Space Shuttles
  • Space Weather
  • Spectra
  • Two Dimensional

Fields of Study

  • Environmental science

Readers

  • Approximation Theory.
  • Ocean-Atmosphere Mesoscale Modeling, Data Assimilation, and Flux Boundary Layers
  • Space/Atmospheric Physics.

Technology Areas

  • Space
  • Space - Space Objects