Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 18, issue 19
Articles | Volume 18, issue 19
https://doi.org/10.5194/gmd-18-6987-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-18-6987-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 18, issue 19
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

Viewed

Total article views: 1,693 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,195 388 110 1,693 126 152
  • HTML: 1,195
  • PDF: 388
  • XML: 110
  • Total: 1,693
  • BibTeX: 126
  • EndNote: 152
Views and downloads (calculated since 11 Apr 2024)
Cumulative views and downloads (calculated since 11 Apr 2024)

Viewed (geographical distribution)

Total article views: 1,693 (including HTML, PDF, and XML) Thereof 1,693 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 06 Dec 2025
Download
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.
Read more
Share