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Volume 11, issue 3 | Copyright

Special issue: Advanced Global Navigation Satellite Systems tropospheric...

Atmos. Meas. Tech., 11, 1347-1361, 2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 08 Mar 2018

Research article | 08 Mar 2018

Reduction of ZTD outliers through improved GNSS data processing and screening strategies

Katarzyna Stepniak et al.
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Subject: Others (Wind, Precipitation, Temperature, etc.) | Technique: Remote Sensing | Topic: Data Processing and Information Retrieval
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Cited articles
Bock, O., Willis, P., Wang, J., and Mears, C.: A high-quality, homogenized, global, long-term (1993–2008) DORIS precipitable water dataset for climate monitoring and model verification, J. Geophys. Res.-Atmos., 119, 7209–7230,, 2014.
Bock, O., Bosser, P., Pacione, R., Nuret, M., Fourrié, N., and Parracho, A.: A high quality reprocessed ground-based GPS dataset for atmospheric process studies, radiosonde and model evaluation, and reanalysis of HyMeX Special Observing Period, Q. J. Roy. Meteor. Soc., 142, 56–71,, 2016.
Boehm, J., Niell, A., Tregoning, P., and Schuh, H.: Global Mapping Function (GMF): a new empirical mapping function based on numerical weather model data, Geophys. Res. Lett., 33, L07304,, 2006.
Bosy, J., Kaplon, J., Rohm, W., Sierny, J., and Hadas, T.: Near real-time estimation of water vapour in the troposphere using ground GNSS and the meteorological data, Ann. Geophys., 30, 1379–1391,, 2012.
Chen, G. and Herring, T. A.: Effects of atmospheric azimuthal asymmetry on the analysis of space geodetic data, J. Geophys. Res., 102, 20489–20502,, 1997.
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