Benha University

Mohamed Ahmed Ahmed Freshah

Lecturer

Faculty of Engineering, Shoubra Surveying Engineering

Leveraging the CYGNSS Spaceborne GNSS‐R Observations to Detect Ionospheric Irregularities Over the Oceans: Method and Verification

Space Weather • 2022
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Publication Information
Authors Ren, X.; Liu, H.; Mei, D.; Yang, P.; Zhang, Z.; Freeshah, M.; & Zhang, X.
Keywords Not Available
Journal Space Weather
Publisher Wiley and American Geophysical Union
Volume 20
Issue e2022SW003141
Pages Not Available
publication.type International
Paper Link Open Link
Supplementary Materials Not Available
Abstract
The Global Navigation Satellite System (GNSS) has significantly facilitated the detection of ionospheric irregularities. Nevertheless, the ground-based GNSS stations are inhomogeneously distributed around the world with large gaps, especially in the vast ocean regions. This adversely affects the interpretation of the spatio-temporal variation characteristics of the ionospheric irregularities. In this study, ionospheric irregularities over the regions of the equatorial, and low-latitude ocean during a G4-class strong geomagnetic storm were investigated by utilizing the spaceborne GNSS reflectometry (GNSS-R) technique. We derived and validated the ionospheric regularities index S4R from the signal-to-noise ratio (SNR) measurements of the spaceborne GNSS-R. Meanwhile, we utilized the ionospheric irregularities data from ground-based (GNSS and ionosonde) and space-based (Swarm and FORMOSAT-3/COSMIC) instruments to evaluate and analyze the CYGNSS-derived S4R. All comparisons and validations conducted within this study illustrate that the spaceborne GNSS-R measurements provide complementary data and realize the timely observation as well as confirmation of the ionospheric irregularities at the same location over the oceans. It is expected to benefit the application of spaceborne GNSS-R in ionospheric irregularities monitoring and applications over the ocean area.
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