Articles | Volume 16, issue 4
Development and technical paper
24 Feb 2023
Development and technical paper |  | 24 Feb 2023

Analysis of systematic biases in tropospheric hydrostatic delay models and construction of a correction model

Haopeng Fan, Siran Li, Zhongmiao Sun, Guorui Xiao, Xinxing Li, and Xiaogang Liu

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Cited articles

Abdelfatah, M. A., Mousa, A. E., and El-Fiky, G. S.: Precise troposphere delay model for Egypt, as derived from radiosonde data, NRIAG J. Astron. Geophys., 4, 16–24,, 2015. 
Alizadeh, M., Wijaya, D., Hobiger, T., Weber, R., and Schuh, H.: Atmospheric Effects in Space Geodesy, Edition 2013, edited by: Böhm, J. and Schuh, H., Springer, 35–71, ISBN 978-3-642-36931-5,, 2013. 
Amante, C. and Eakins, B. W.: ETOPO1 1 Arc-Minute Global Relief Model: Procedures, Data Sources and Analysis, National Geophysical Data Center, NOAA [data set],, 2009. 
Beck, H. E., Zimmermann, N. E., McVicar, T. R., Vergopolan, N., Berg, A., and Wood, E. F.: Present and future Köppen-Geiger climate classification maps at 1-km resolution, Sci. Data, 5, 180214,, 2018. 
Bekaert, D. P. S., Hooper, A., and Wright, T. J.: A spatially variable power law tropospheric correction technique for InSAR data, J. Geophys. Res.-Sol. Ea., 120, 1345–1356,, 2015. 
Short summary
The traditional tropospheric zenith hydrostatic delay (ZHD) model's bias is usually thought negligible, yet it still reaches 10 mm sometimes and would lead to millimeter-level position errors for space geodetic observations. Therefore, we analyzed the bias’ characteristics and present a grid model to correct the traditional ZHD formula. When verifying the efficiency based on data from the ECMWF (European Centre for Medium-Range Weather Forecasts), ZHD biases were rectified by ~50 %.