Articles | Volume 19, issue 14
https://doi.org/10.5194/amt-19-4833-2026
https://doi.org/10.5194/amt-19-4833-2026
Research article
 | 
28 Jul 2026
Research article |  | 28 Jul 2026

How does assimilating a large commercial GNSS RO dataset impact HAFS hurricane forecasts? An evaluation in support of the ROMEX experiment

William J. Miller, Yong Chen, Shu-Peng Ho, and Xi Shao

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Cited articles

Anthes, R. A., Sjoberg, J., Feng, X., and Syndergaard, S.: Comparison of COSMIC and COSMIC-2 radio occultation refractivity and bending angle uncertainties in August 2006 and 2021, Atmosphere, 13, 790, https://doi.org/10.3390/atmos13050790, 2022. 
Anthes, R. A., Marquardt, C., Ruston, B., and Shao, H.: Radio Occultation Modeling Experiment (ROMEX): Determining the impact of radio occultation observations on numerical weather prediction, Bull. Amer. Meteor. Soc., 105, 1552–1568, https://doi.org/10.1175/BAMS-D-23-0326.1, 2024. 
Blake, E. S.: Tropical cyclone report: Hurricane Earl (AL062022), National Hurricane Center, Tech. Rep., 18 pp., https://www.nhc.noaa.gov/data/tcr/AL062022_Earl.pdf (last access: 13 July 2026), 2023. 
Bonavita, M.: On some aspects of the impact of GPSRO observations in global numerical weather prediction, Q. J. Roy. Meteor. Soc., 140, 2546–2562, https://doi.org/10.1002/qj.2320, 2014. 
Bowler, N. E.: Revised GNSS-RO observation uncertainties in the Met Office NWP System, Q. J. Roy. Meteor. Soc., 146, 2274–2296, https://doi.org/10.1002/qj.3791, 2020. 
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Short summary
This study evaluates the impacts of assimilating commercial Global Navigation Satellite System (GNSS) radio occultation (RO) observations on HAFS-A regional model forecasts of four 2022 Atlantic hurricanes. Containing about 20 000 daily profiles, the commercial dataset roughly quadruples the volume of GNSS RO observations assimilated operationally. Findings show that the temperature and water information provided when assimilating the commercial RO dataset reduces an over-intensification bias. 
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