Articles | Volume 18, issue 5
https://doi.org/10.5194/gmd-18-1487-2025
https://doi.org/10.5194/gmd-18-1487-2025
Development and technical paper
 | 
10 Mar 2025
Development and technical paper |  | 10 Mar 2025

Empirical modeling of tropospheric delays with uncertainty

Jungang Wang, Junping Chen, and Yize Zhang

Viewed

Total article views: 6,496 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
4,144 1,247 1,105 6,496 183 293
  • HTML: 4,144
  • PDF: 1,247
  • XML: 1,105
  • Total: 6,496
  • BibTeX: 183
  • EndNote: 293
Views and downloads (calculated since 20 Aug 2024)
Cumulative views and downloads (calculated since 20 Aug 2024)

Viewed (geographical distribution)

Total article views: 6,496 (including HTML, PDF, and XML) Thereof 6,393 with geography defined and 103 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Saved (final revised paper)

Latest update: 02 Sep 2026
Download
Short summary
The Global Navigation Satellite System (GNSS) is widely used for real-time monitoring and early warning of geohazards. Accurate modeling of tropospheric delays is critical to achieving high-precision GNSS solutions, and using external delays can improve real-time GNSS convergence times. Current empirical delay models only provide delay but not uncertainty. We propose a global empirical delay model with uncertainty and demonstrate its benefits in accelerating GNSS positioning convergence.
Share