Articles | Volume 8, issue 8
Atmos. Meas. Tech., 8, 3447–3465, 2015
https://doi.org/10.5194/amt-8-3447-2015

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

Atmos. Meas. Tech., 8, 3447–3465, 2015
https://doi.org/10.5194/amt-8-3447-2015

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.

Related authors

Quantifying residual ionospheric errors in GNSS radio occultation bending angles based on ensembles of profiles from end-to-end simulations
C. L. Liu, G. Kirchengast, K. Zhang, R. Norman, Y. Li, S. C. Zhang, J. Fritzer, M. Schwaerz, S. Q. Wu, and Z. X. Tan
Atmos. Meas. Tech., 8, 2999–3019, https://doi.org/10.5194/amt-8-2999-2015,https://doi.org/10.5194/amt-8-2999-2015, 2015

Related subject area

Subject: Others (Wind, Precipitation, Temperature, etc.) | Technique: Remote Sensing | Topic: Data Processing and Information Retrieval
Support vector machine tropical wind speed retrieval in the presence of rain for Ku-band wind scatterometry
Xingou Xu and Ad Stoffelen
Atmos. Meas. Tech., 14, 7435–7451, https://doi.org/10.5194/amt-14-7435-2021,https://doi.org/10.5194/amt-14-7435-2021, 2021
Short summary
Evaluation of convective boundary layer height estimates using radars operating at different frequency bands
Anna Franck, Dmitri Moisseev, Ville Vakkari, Matti Leskinen, Janne Lampilahti, Veli-Matti Kerminen, and Ewan O'Connor
Atmos. Meas. Tech., 14, 7341–7353, https://doi.org/10.5194/amt-14-7341-2021,https://doi.org/10.5194/amt-14-7341-2021, 2021
Short summary
Four-dimensional mesospheric and lower thermospheric wind fields using Gaussian process regression on multistatic specular meteor radar observations
Ryan Volz, Jorge L. Chau, Philip J. Erickson, Juha P. Vierinen, J. Miguel Urco, and Matthias Clahsen
Atmos. Meas. Tech., 14, 7199–7219, https://doi.org/10.5194/amt-14-7199-2021,https://doi.org/10.5194/amt-14-7199-2021, 2021
Short summary
Correction of wind bias for the lidar on board Aeolus using telescope temperatures
Fabian Weiler, Michael Rennie, Thomas Kanitz, Lars Isaksen, Elena Checa, Jos de Kloe, Ngozi Okunde, and Oliver Reitebuch
Atmos. Meas. Tech., 14, 7167–7185, https://doi.org/10.5194/amt-14-7167-2021,https://doi.org/10.5194/amt-14-7167-2021, 2021
Short summary
Leveraging machine learning for quantitative precipitation estimation from Fengyun-4 geostationary observations and ground meteorological measurements
Xinyan Li, Yuanjian Yang, Jiaqin Mi, Xueyan Bi, You Zhao, Zehao Huang, Chao Liu, Lian Zong, and Wanju Li
Atmos. Meas. Tech., 14, 7007–7023, https://doi.org/10.5194/amt-14-7007-2021,https://doi.org/10.5194/amt-14-7007-2021, 2021
Short summary

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, https://doi.org/10.5194/amt-4-1077-2011, 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, https://doi.org/10.1002/qj.756, 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, https://doi.org/10.1002/jgra.50089, 2013.
Cucurull, L. and Derber, J. C.: Operational implementation of COSMIC observations into NCEP's global data assimilation system, Wea. Forecasting., 23, 702–711, https://doi.org/10.1175/2008WAF2007070.1, 2008.
Download
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.