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: 7,011 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
4,467 1,347 1,197 7,011 255 389
  • HTML: 4,467
  • PDF: 1,347
  • XML: 1,197
  • Total: 7,011
  • BibTeX: 255
  • EndNote: 389
Views and downloads (calculated since 20 Aug 2024)
Cumulative views and downloads (calculated since 20 Aug 2024)

Viewed (geographical distribution)

Total article views: 7,011 (including HTML, PDF, and XML) Thereof 6,908 with geography defined and 103 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Saved (final revised paper)

Latest update: 24 Oct 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