Sensitivity Analysis of Empirical Parameters in the Ionosphere-Plasmasphere Model

Abstract

A sensitivity analysis of empirical parameters used in physics-based models was completed in this study to determine their effect on electron densities and total electron content (TEC) in the ionosphere. The model used was the Ionosphere-Plasmasphere Model (IPM) developed by Utah State University. The empirical parameters studied include the O+/O collision frequency, zonal wind, secondary electron production, nighttime ExB drifts, and tidal structure. The sensitivity analysis was completed by comparing a default run of the IPM to a run with the parameter adjusted for three geophysical cases. Many of the comparisons resulted in nonlinear changes to the model output. Doubling the O+/O collision frequency increased NmF2 up to 250% in the equatorial anomalies. Setting the zonal winds to zero resulted in a 400% increase in TEC units (TECU) over the Southeast Pacific and a 50% decrease near Madagascar. It was found that changes in electron density and TEC are directly proportional to how daytime production is scaled to account for secondary electron production. Decreasing the nighttime downward ExB drift resulted in a 160%-630% increase in low latitude TEC. Finally, modulating the ExB drift to simulate tidal forcing reproduced the four-wave pattern of enhanced low latitude TEC.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 2011
Accession Number
ADA538259

Entities

People

  • Janelle V. Jenniges

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Air Platforms
  • Energy and Power Technologies
  • Space

DTIC Thesaurus Topics

  • Air Force
  • Chemical Reactions
  • Engineering
  • Geographic Regions
  • Global Positioning Systems
  • Governments
  • Grids
  • High Latitudes
  • Ionosphere
  • Measurement
  • Solar Activity
  • Solar Radiation
  • Space Weather
  • Three Dimensional
  • Two Dimensional
  • United States
  • United States Government

Readers

  • Computational Modeling and Simulation
  • Space/Atmospheric Physics.

Technology Areas

  • Microelectronics