A New Method of Electron Density Retrieval from MetOp-A's Truncated Radio Occultation Measurements.

Mohammed Mainul Hoque, Liangliang Yuan, Fabricio dos Santos Prol, Manuel Hernández-Pajares, Riccardo Notarpietro, Norbert Jakowski, Germán Olivares-Pulido, Axel Von Engeln, Christian Marquardt

Remote. Sens.(2023)

Cited 3|Views33
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Abstract
The radio occultation (RO) measurements of the Global Navigation Satellite System’s (GNSS’s) signals onboard a Low Earth Orbiting (LEO) satellite enable the computation of the vertical electron density profile from the LEO satellite’s orbit height down to the Earth’s surface. The ionospheric extension experiment performed by the GNSS Receiver for Atmospheric Sounding (GRAS) receiver on board MetOp-A provides opportunities for ionospheric sounding but with the RO measurements only taken with an impact parameter height below 600 and 300 km within two different experiments, although MetOp-A was flying at an orbit height of about 800 km. Here, we present a model-assisted RO inversion technique for electron density retrieval from such kind of truncated data. The topside ionosphere and plasmasphere above the LEO orbit height are modelled by a Chapman layer function superposed with an exponential decay function representing the plasmasphere. Our investigation shows that the model-assisted technique is stable and robust and can successfully be used to retrieve the electron density values up to the LEO height from the truncated MetOp-A data, in particular when observations are available until 600 km. Moreover, this model-assisted technique is also successful with the availability of a small number of observations of the topside above the peak density height. For observations available only up to 300 km, the accuracy of the retrieved profile is comparable to the one obtained by the data truncated at a 600 km height only when the peak electron density lies below the 250 km altitude level.
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Key words
GNSS radio occultation,Abel inversion,MetOp-A extension campaign,electron density retrieval from truncated data
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