Articles | Volume 19, issue 11
https://doi.org/10.5194/amt-19-3781-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-19-3781-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Processing multiple GNSS RO data using FSI and ROPP: results from the ROMEX
NOAA/NESDIS/STAR, College Park, MD, 20740, USA
Xinjia Zhou
ERT, Laurel, MD, 20707, USA
Xin Jing
CISESS/ESSIC, University of Maryland, College Park, MD, 20740, USA
Shu-Peng Ho
NOAA/NESDIS/STAR, College Park, MD, 20740, USA
Xi Shao
CISESS/ESSIC, University of Maryland, College Park, MD, 20740, USA
Tung-Chang Liu
CISESS/ESSIC, University of Maryland, College Park, MD, 20740, USA
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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.
We developed a Full Spectrum Inversion algorithm to process Global Navigation Satellite System...