Articles | Volume 18, issue 19
https://doi.org/10.5194/gmd-18-6987-2025
https://doi.org/10.5194/gmd-18-6987-2025
Development and technical paper
 | 
10 Oct 2025
Development and technical paper |  | 10 Oct 2025

A hybrid-grid global model for the estimation of atmospheric weighted mean temperature considering time-varying vertical adjustment rate in GNSS precipitable water vapour retrieval

Shaofeng Xie, Jihong Zhang, Liangke Huang, Fade Chen, Yongfeng Wu, Yijie Wang, and Lilong Liu

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Cited articles

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Alexandrov, M. D., Schmid, B., Turner, D. D., Cairns, B., Oinas, V., Lacis, A. A., Gutman, S. I., Westwater, E. R., Smirnov, A., and Eilers, J.: Columnar water vapor retrievals from multifilter rotating shadowband radiometer data, J. Geophys. Res.-Atmos., 114, https://doi.org/10.1029/2008JD010543, 2009. 
Bevis, M., Businger, S., Herring, T. A., Rocken, C., Anthes, R. A., and Ware, R. H.: GPS meteorology: Remote sensing of atmospheric water vapor using the global positioning system, J. Geophys. Res.-Atmos., 97, 15787–15801, https://doi.org/10.1029/92JD01517, 1992. 
Böhm, J., Heinkelmann, R., and Schuh, H.: Short note: a global model of pressure and temperature for geodetic applications, J. Geodesy, 81, 679–683, https://doi.org/10.1007/s00190-007-0135-3, 2007. 
Böhm, J., Möller, G., Schindelegger, M., Pain, G., and Weber, R.: Development of an improved empirical model for slant delays in the troposphere (GPT2w), GPS Solut., 19, 433–441, https://doi.org/10.1007/s10291-014-0403-7, 2015. 
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Short summary
We developed a new global atmospheric weighted mean temperature (Tm) model considering time-varying vertical adjustment rate. Firstly, a global Tm vertical adjustment rate model (NGGTm-H) was developed using the sliding-window algorithm. Secondly, the daily variation characteristics of Tm and its relationships with geographical situations were investigated. Finally, a hybrid-grid global Tm model considering the time-varying vertical adjustment rate (NGGTm) was developed.
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