Articles | Volume 8, issue 8
Atmos. Meas. Tech., 8, 3447–3465, 2015

Special issue: Observing Atmosphere and Climate with Occultation Techniques...

Atmos. Meas. Tech., 8, 3447–3465, 2015

Research article 25 Aug 2015

Research article | 25 Aug 2015

Dynamic statistical optimization of GNSS radio occultation bending angles: advanced algorithm and performance analysis

Y. Li et al.

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Cited articles

Anthes, R. A.: Exploring Earth's atmosphere with radio occultation: contributions to weather, climate and space weather, Atmos. Meas. Tech., 4, 1077–1103,, 2011.
Bassiri, S. and Hajj, G. A.: Higher-order ionospheric effects on the GPS observables and means of modeling them, Manuscr. Geod., 18, 280–289, 1993.
Bonavita, M., Raynaud, L, and Isaksen, L.: Estimating background error variances with the ECMWF Ensemble of Data Assimilations system: Some effects of ensemble size and day-to-day variability, Q. J. Roy. Meteor. Soc., 137, 423–434,, 2011.
Carter, B. A., Zhang, K., Norman, R., Kumar, V. V., and Kumar, S.: On the occurrence of equatorial F-region irregularities during solar minimum using radio occultation measurements, J. Geophys. Res. Space Physics., 118, 892–904,, 2013.
Cucurull, L. and Derber, J. C.: Operational implementation of COSMIC observations into NCEP's global data assimilation system, Wea. Forecasting., 23, 702–711,, 2008.
Short summary
We introduce a new dynamic statistical optimization algorithm to initialize ionosphere-corrected bending angles of Global Navigation Satellite System-based radio occultation measurements. The new algorithm is evaluated against the OPSv5.6 algorithm developed by the Wegener Center using both simulated and real observed data. It is found that the algorithm can significantly reduce the random errors of optimized bending angles. The retrieved refractivity and temperature profiles are also benefited.