EGU2020-1569
https://doi.org/10.5194/egusphere-egu2020-1569
EGU General Assembly 2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Extraction of electron density profiles with geostationary satellite-based GPS side lobe occultation signals

Wenwen Li1, Min Li1,2, Qile Zhao1,2, Chuang Shi3, and Rongxin Fang1
Wenwen Li et al.
  • 1Wuhan University, GNSS Research Center, Wuhan, China
  • 2Collaborative Innovation Center of Geospatial Technology, Wuhan 430079, China;
  • 3School of Electronic and Information Engineering, Beihang University, Beijing 100191, China

Electron density profiles (EDP) obtained by GNSS radio occultation (RO) technique can improve the primary ionospheric parameters. However, current studies mainly focused on GNSS RO measurements observed by low Earth orbit satellites, which can only estimate EDP at low altitudes typically below 1000 km. We investigated the GPS RO measurements recorded on the geostationary earth orbit (GEO) satellite TJS-2 (telecommunication technology test satellite II). To improve EDP derivation precision, the total electron content derived from TJS-2 single-frequency excess phase is refined by a moving average filter, which can smooth high-frequency errors and indicate higher precision over the single-difference technique. By comparison with the ground-based digisonde, the IRI 2016 model and the Constellation Observing System for Meteorology, Ionosphere, and Climate satellite (COSMIC) EDPs, the TJS-2 ionospheric EDPs show good agreement with correlation coefficients exceeding 0.8. The TJS-2 average NmF2 differences compared to digisondes and COSMIC results are 12.9% and 1.4%, respectively, while the hmF2 differences are 1.65 km and 1.76 km, respectively. With a GEO satellite such as TJS-2, the side lobe GPS RO signals can also be received, and they are employed to estimate electron densities up to several thousand kilometers in height for the first time in this contribution. Our results also reveal that GEO-based RO signals can estimate EDPs at specific locations with daily repeatability, which makes it a very suitable technique for routinely monitoring EDP variations

How to cite: Li, W., Li, M., Zhao, Q., Shi, C., and Fang, R.: Extraction of electron density profiles with geostationary satellite-based GPS side lobe occultation signals, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-1569, https://doi.org/10.5194/egusphere-egu2020-1569, 2019