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Published on: April 28, 2023
First ICON-FUV Nighttime NmF2 and hmF2 Comparison to Ground and Space-Based Measurements.
G Wautelet1, B Hubert1, J-C Gérard1
1Space Sciences, Technologies and Astrophysics Research (STAR) Institute, Laboratoire de Physique Atmosphérique et Planétaire (LPAP), Université de Liège, Liège, Belgium.
The NASA-ICON Far Ultra Violet (FUV) imager accurately measures ionospheric electron density, showing consistency with COSMIC-2 and ionosonde data for mid and low-latitude dynamics.
Area of Science:
- Space Physics
- Atmospheric Science
- Geophysics
Background:
- The NASA-ICON mission utilizes a Far Ultra Violet (FUV) imager to study ionosphere dynamics.
- Understanding ionospheric density is crucial for various applications, including radio communication and satellite operations.
Purpose of the Study:
- To validate the ICON FUV instrument's O+ density measurements against established methods.
- To assess the FUV imager's capability in determining key ionospheric parameters like peak electron density and altitude.
Main Methods:
- Comparison of nighttime O+ density profiles from ICON FUV with electron density from COSMIC-2 (C2) and ground-based ionosondes.
- Utilized co-located, simultaneous observations from November 2019 to July 2020.
- Applied manual scaling for ionosonde data and automatic quality control for C2 data; filtered photoelectron contamination.
Main Results:
- FUV observations show consistency with C2 and ionosonde measurements, with a small average positive bias (< 1 × 10^11 e/m^3).
- For high electron density cases (NmF2 > 5 × 10^11 e/m^3), FUV estimates peak electron density with a 10% mean difference compared to C2.
- FUV-derived peak altitude is, on average, 15 km higher than C2 and 38 km higher than ionosonde values.
Conclusions:
- The ICON FUV instrument is a reliable tool for nighttime ionospheric O+ density profiling at mid and low latitudes.
- FUV data provides valuable insights into ionospheric structure, complementing existing measurement techniques.
- Further research can leverage FUV data for a more comprehensive understanding of ionospheric variability.
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