Articles | Volume 12, issue 5
https://doi.org/10.5194/amt-12-2679-2019
https://doi.org/10.5194/amt-12-2679-2019
Research article
 | 
09 May 2019
Research article |  | 09 May 2019

Processing and quality control of FY-3C GNOS data used in numerical weather prediction applications

Mi Liao, Sean Healy, and Peng Zhang

Related authors

Evaluation of atmospheric profiles derived from single- and zero-difference excess phase processing of BeiDou radio occultation data from the FY-3C GNOS mission
Weihua Bai, Congliang Liu, Xiangguang Meng, Yueqiang Sun, Gottfried Kirchengast, Qifei Du, Xianyi Wang, Guanglin Yang, Mi Liao, Zhongdong Yang, Danyang Zhao, Junming Xia, Yuerong Cai, Lijun Liu, and Dongwei Wang
Atmos. Meas. Tech., 11, 819–833, https://doi.org/10.5194/amt-11-819-2018,https://doi.org/10.5194/amt-11-819-2018, 2018
Short summary
Preliminary validation of the refractivity from the new radio occultation sounder GNOS/FY-3C
Mi Liao, Peng Zhang, Guang-Lin Yang, Yan-Meng Bi, Yan Liu, Wei-Hua Bai, Xiang-Guang Meng, Qi-Fei Du, and Yue-Qiang Sun
Atmos. Meas. Tech., 9, 781–792, https://doi.org/10.5194/amt-9-781-2016,https://doi.org/10.5194/amt-9-781-2016, 2016
Short summary

Related subject area

Subject: Others (Wind, Precipitation, Temperature, etc.) | Technique: Remote Sensing | Topic: Data Processing and Information Retrieval
Forward operator for polarimetric radio occultation measurements
Daisuke Hotta, Katrin Lonitz, and Sean Healy
Atmos. Meas. Tech., 17, 1075–1089, https://doi.org/10.5194/amt-17-1075-2024,https://doi.org/10.5194/amt-17-1075-2024, 2024
Short summary
Assessing atmospheric gravity wave spectra in the presence of observational gaps
Mohamed Mossad, Irina Strelnikova, Robin Wing, and Gerd Baumgarten
Atmos. Meas. Tech., 17, 783–799, https://doi.org/10.5194/amt-17-783-2024,https://doi.org/10.5194/amt-17-783-2024, 2024
Short summary
Joint 1DVar retrievals of tropospheric temperature and water vapor from Global Navigation Satellite System radio occultation (GNSS-RO) and microwave radiometer observations
Kuo-Nung Wang, Chi O. Ao, Mary G. Morris, George A. Hajj, Marcin J. Kurowski, Francis J. Turk, and Angelyn W. Moore
Atmos. Meas. Tech., 17, 583–599, https://doi.org/10.5194/amt-17-583-2024,https://doi.org/10.5194/amt-17-583-2024, 2024
Short summary
Mispointing characterization and Doppler velocity correction for the conically scanning WIVERN Doppler radar
Filippo Emilio Scarsi, Alessandro Battaglia, Frederic Tridon, Paolo Martire, Ranvir Dhillon, and Anthony Illingworth
Atmos. Meas. Tech., 17, 499–514, https://doi.org/10.5194/amt-17-499-2024,https://doi.org/10.5194/amt-17-499-2024, 2024
Short summary
Radar and environment-based hail damage estimates using machine learning
Luis Ackermann, Joshua Soderholm, Alain Protat, Rhys Whitley, Lisa Ye, and Nina Ridder
Atmos. Meas. Tech., 17, 407–422, https://doi.org/10.5194/amt-17-407-2024,https://doi.org/10.5194/amt-17-407-2024, 2024
Short summary

Cited articles

Ao, C. O., Hajj, G. A., Meehan, T. K., Dong, D., Iijima, B. A., Mannucci, J. A., and Kursinski, E. R.: Rising and setting GPS occultations by use of open-loop tracking, J. Geophys. Res., 114, D04101, https://doi.org/10.1029/2008JD010483, 2009. 
Bai, W. H., Sun, Y. Q., Du, Q. F., Yang, G. L., Yang, Z. D., Zhang, P., Bi, Y. M., Wang, X. Y., Cheng, C., and Han, Y.: An introduction to the FY3 GNOS instrument and mountain-top tests, Atmos. Meas. Tech., 7, 1817–1823, https://doi.org/10.5194/amt-7-1817-2014, 2014. 
Beutler, G.: Methods of Celestial Mechanics, Springer-Verlag, Berlin, Heidelberg, New York, Germany, USA, ISBN 3-211-82364-6, 2005. 
Beyerle, G., Wickert, I., Schmidt, T., and Reigber, C.: Atmospheric sounding by GNSS radio occultation: An analysis of the negative refractivity bias using CHAMP observations, J. Geophys. Res., 109, D01106, https://doi.org/10.1029/2003JD003922, 2004. 
Download
Short summary
This paper describes a new method for improving the data of the Chinese radio occultation sounder, GNOS, which has large biases. The new method can effectively eliminate about 90 % of the large departures. In addition, this paper also describes the quality control (QC) for the GNOS data. The GNOS data with the new L2 extrapolation are suitable for assimilation into numerical weather prediction systems.