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Morphological and Spectral Features of Ionospheric Structures at E- and F-Region Altitudes over Poker Flat Analyzed
Pralay Raj Vaggu1, Kshitija B Deshpande1, Seebany Datta-Barua2
1Department of Physical Sciences, Embry-Riddle Aeronautical University, Daytona Beach, FL 32114, USA.
Sensors (Basel, Switzerland)
|March 11, 2023
Summary
Ionospheric irregularities cause radio signal fluctuations. This study uses GPS data and a 3D model to reveal distinct rod-shaped E-region and wing-like F-region irregularity structures.
Area of Science:
- Space Physics
- Geophysics
- Atmospheric Science
Background:
- Electron density irregularities in the ionosphere disrupt trans-ionospheric radio signals.
- These irregularities cause amplitude and phase fluctuations, known as scintillations.
- Understanding these irregularities is crucial for radio communication and navigation systems.
Purpose of the Study:
- To characterize the spectral and morphological features of E- and F-region ionospheric irregularities.
- To determine the physical structures of irregularities causing radio scintillations.
- To differentiate between E-region and F-region irregularity characteristics.
Main Methods:
- Utilized the "Satellite-beacon Ionospheric scintillation Global Model of upper Atmosphere" (SIGMA), a 3D radio wave propagation model.
- Employed scintillation measurements from the Scintillation Auroral GPS Array (SAGA) network.
- Applied an inverse method to fit model outputs to GPS observations for parameter derivation.
Main Results:
- E-region irregularities exhibit elongated, rod-shaped structures aligned with magnetic field lines.
- F-region irregularities display wing-like structures extending along and across magnetic field lines.
- Distinct spectral indices and ground-level spectral slopes were observed for E- and F-region events.
Conclusions:
- The study successfully differentiated morphological and spectral features of E- and F-region ionospheric irregularities.
- The findings highlight the utility of combining 3D propagation models with GPS data for irregularity analysis.
- Distinct structural characteristics of ionospheric irregularities were identified for different regions.
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