Articles | Volume 19, issue 11
https://doi.org/10.5194/amt-19-3781-2026
https://doi.org/10.5194/amt-19-3781-2026
Research article
 | 
12 Jun 2026
Research article |  | 12 Jun 2026

Processing multiple GNSS RO data using FSI and ROPP: results from the ROMEX

Yong Chen, Xinjia Zhou, Xin Jing, Shu-Peng Ho, Xi Shao, and Tung-Chang Liu

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Cited articles

Adhikari, L., Xie, F., and Haase, J. S.: Application of the full spectrum inversion algorithm to simulated airborne GPS radio occultation signals, Atmos. Meas. Tech., 9, 5077–5087, https://doi.org/10.5194/amt-9-5077-2016, 2016. 
Adhikari, A., Ho, S.-P., and Zhou, X.: Inverting COSMIC-2 phase data to bending angle and refractivity using the Full Spectrum Inversion method, Remote Sens., 13, 1793, https://doi.org/10.3390/rs13091793, 2021. 
Anthes, R., Sjoberg, J., Starr, J., and Zeng, Z.: Evaluation of biases and uncertainties in ROMEX radio occultation observations, Atmos. Meas. Tech., 18, 6997–7019, https://doi.org/10.5194/amt-18-6997-2025, 2025. 
Anthes, R. A.: Exploring Earth's atmosphere with radio occultation: contributions to weather, climate and space weather, Atmos. Meas. Tech., 4, 1077–1103, https://doi.org/10.5194/amt-4-1077-2011, 2011. 
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Short summary
We developed a Full Spectrum Inversion algorithm to process Global Navigation Satellite System Radio Occultation (RO) data, a key source for weather forecasting. Comparing it with standard systems, we found strong agreement mid-atmosphere but larger differences near the surface and upper levels. This clarifies processing uncertainties and supports improved use of RO data in numerical weather prediction and atmospheric research.
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