Articles | Volume 8, issue 8
https://doi.org/10.5194/amt-8-3447-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/amt-8-3447-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
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
CORRESPONDING AUTHOR
State Key Laboratory of Geodesy and Earth's Dynamics, Institute of Geodesy and Geophysics (IGG), Chinese Academy of Sciences, Wuhan, China
Satellite Positioning for Atmosphere, Climate, and Environment (SPACE) Research Centre, RMIT University, Melbourne, Victoria, Australia
G. Kirchengast
Satellite Positioning for Atmosphere, Climate, and Environment (SPACE) Research Centre, RMIT University, Melbourne, Victoria, Australia
Wegener Center for Climate and Global Change (WEGC) and Institute for Geophysics, Astrophysics, and Meteorology/Institute of Physics, University of Graz, Graz, Austria
B. Scherllin-Pirscher
Wegener Center for Climate and Global Change (WEGC) and Institute for Geophysics, Astrophysics, and Meteorology/Institute of Physics, University of Graz, Graz, Austria
R. Norman
Satellite Positioning for Atmosphere, Climate, and Environment (SPACE) Research Centre, RMIT University, Melbourne, Victoria, Australia
Y. B. Yuan
State Key Laboratory of Geodesy and Earth's Dynamics, Institute of Geodesy and Geophysics (IGG), Chinese Academy of Sciences, Wuhan, China
J. Fritzer
Wegener Center for Climate and Global Change (WEGC) and Institute for Geophysics, Astrophysics, and Meteorology/Institute of Physics, University of Graz, Graz, Austria
M. Schwaerz
Wegener Center for Climate and Global Change (WEGC) and Institute for Geophysics, Astrophysics, and Meteorology/Institute of Physics, University of Graz, Graz, Austria
Satellite Positioning for Atmosphere, Climate, and Environment (SPACE) Research Centre, RMIT University, Melbourne, Victoria, Australia
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Cited
16 citations as recorded by crossref.
- An Evaluation of Fengyun-3C Radio Occultation Atmospheric Profiles Over 2015–2018 J. Wei et al. 10.3390/rs12132116
- Variational Assimilation of Radio Occultation Observations into Numerical Weather Prediction Models: Equations, Strategies, and Algorithms M. Gorbunov et al. 10.3390/rs11242886
- Performance of the Ionospheric Kappa‐Correction of Radio Occultation Profiles Under Diverse Ionization and Solar Activity Conditions J. Danzer et al. 10.1029/2020EA001581
- Integrating uncertainty propagation in GNSS radio occultation retrieval: From bending angle to dry‐air atmospheric profiles J. Schwarz et al. 10.1002/2016EA000234
- Using GNSS Radio Occultation Data to Monitor Tropical Atmospheric Anomalies during the January–February 2009 Sudden Stratospheric Warming Event Y. Li et al. 10.3390/rs14133234
- Integrating uncertainty propagation in GNSS radio occultation retrieval: from excess phase to atmospheric bending angle profiles J. Schwarz et al. 10.5194/amt-11-2601-2018
- QX-1 GNOS M Radio Occultation Data Performance Analysis Z. LIU et al. 10.11728/cjss2024.03.2023-0071
- Comparison study of COSMIC RO dry-air climatologies based on average profile inversion J. Danzer et al. 10.5194/amt-11-4867-2018
- Wave-optics uncertainty propagation and regression-based bias model in GNSS radio occultation bending angle retrievals M. Gorbunov & G. Kirchengast 10.5194/amt-11-111-2018
- Evaluation of the 15-year ROM SAF monthly mean GPS radio occultation climate data record H. Gleisner et al. 10.5194/amt-13-3081-2020
- Improvement of Reflection Detection Success Rate of GNSS RO Measurements Using Artificial Neural Network A. Hu et al. 10.1109/TGRS.2017.2754512
- Assimilation of Radio Occultation Observations in Numerical Weather Prediction M. Gorbunov 10.3103/S1068373924070094
- Quality aspects of the Wegener Center multi-satellite GPS radio occultation record OPSv5.6 B. Angerer et al. 10.5194/amt-10-4845-2017
- Consistency and structural uncertainty of multi-mission GPS radio occultation records A. Steiner et al. 10.5194/amt-13-2547-2020
- A New Algorithm for the Retrieval of Atmospheric Profiles from GNSS Radio Occultation Data in Moist Air and Comparison to 1DVar Retrievals Y. Li et al. 10.3390/rs11232729
- An Evaluation of Fengyun-3C Radio Occultation Atmospheric Profiles Over 2015–2018 J. Wei et al. 10.3390/rs12132116
15 citations as recorded by crossref.
- An Evaluation of Fengyun-3C Radio Occultation Atmospheric Profiles Over 2015–2018 J. Wei et al. 10.3390/rs12132116
- Variational Assimilation of Radio Occultation Observations into Numerical Weather Prediction Models: Equations, Strategies, and Algorithms M. Gorbunov et al. 10.3390/rs11242886
- Performance of the Ionospheric Kappa‐Correction of Radio Occultation Profiles Under Diverse Ionization and Solar Activity Conditions J. Danzer et al. 10.1029/2020EA001581
- Integrating uncertainty propagation in GNSS radio occultation retrieval: From bending angle to dry‐air atmospheric profiles J. Schwarz et al. 10.1002/2016EA000234
- Using GNSS Radio Occultation Data to Monitor Tropical Atmospheric Anomalies during the January–February 2009 Sudden Stratospheric Warming Event Y. Li et al. 10.3390/rs14133234
- Integrating uncertainty propagation in GNSS radio occultation retrieval: from excess phase to atmospheric bending angle profiles J. Schwarz et al. 10.5194/amt-11-2601-2018
- QX-1 GNOS M Radio Occultation Data Performance Analysis Z. LIU et al. 10.11728/cjss2024.03.2023-0071
- Comparison study of COSMIC RO dry-air climatologies based on average profile inversion J. Danzer et al. 10.5194/amt-11-4867-2018
- Wave-optics uncertainty propagation and regression-based bias model in GNSS radio occultation bending angle retrievals M. Gorbunov & G. Kirchengast 10.5194/amt-11-111-2018
- Evaluation of the 15-year ROM SAF monthly mean GPS radio occultation climate data record H. Gleisner et al. 10.5194/amt-13-3081-2020
- Improvement of Reflection Detection Success Rate of GNSS RO Measurements Using Artificial Neural Network A. Hu et al. 10.1109/TGRS.2017.2754512
- Assimilation of Radio Occultation Observations in Numerical Weather Prediction M. Gorbunov 10.3103/S1068373924070094
- Quality aspects of the Wegener Center multi-satellite GPS radio occultation record OPSv5.6 B. Angerer et al. 10.5194/amt-10-4845-2017
- Consistency and structural uncertainty of multi-mission GPS radio occultation records A. Steiner et al. 10.5194/amt-13-2547-2020
- A New Algorithm for the Retrieval of Atmospheric Profiles from GNSS Radio Occultation Data in Moist Air and Comparison to 1DVar Retrievals Y. Li et al. 10.3390/rs11232729
1 citations as recorded by crossref.
Saved (final revised paper)
Latest update: 21 Nov 2024
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.
We introduce a new dynamic statistical optimization algorithm to initialize ionosphere-corrected...
