Total electron count variability and stratospheric ozone effects on solar backscatter and LWIR emissions

Abstract

The development of an accurate ionospheric Total Electron Content (TEC) model is of critical importance to High Frequency (HF) radio wave propagation. However, the TEC is highly variable and is continuously influenced by geomagnetic storms, extreme Ultraviolet (UV) radiation, diurnal variation, and planetary waves. The ability to capture this variability is essential to improve current TEC models. Analysis of the growing body of data involving ionospheric fluctuations and thermal tides has revealed persistent correlation between increases in stratospheric ozone and variability of the TEC. The spectral properties of ozone show that it is a greenhouse gas that alters longwave emissions from Earth and interacts with the UV spectrum coming from the sun. This study uses the Laser Environment Effects Definition and Reference (LEEDR) to model and simulate the effect of changes in stratospheric ozone on solar backscatter and longwave terrestrial emissions and infer TEC variability.

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Document Details

Document Type
Technical Report
Publication Date
Mar 10, 2017
Accession Number
AD1051604

Entities

People

  • John S Ross

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Space

DTIC Thesaurus Topics

  • Air Force
  • Backscattering
  • Electromagnetic Radiation
  • Electromagnetic Scattering
  • Electromagnetic Wave Propagation
  • Electrons
  • Frequency
  • Global Navigation Satellite Systems
  • Global Positioning Systems
  • Greenhouse Gases
  • Ionosphere
  • Jet Propulsion
  • Measurement
  • Navigation
  • Scattering
  • Solar Radiation
  • United States

Fields of Study

  • Environmental science

Readers

  • Atmospheric Remote Sensing.
  • Atmospheric Science/Meteorology
  • Image Processing and Computer Vision.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • Directed Energy
  • Microelectronics
  • Space