Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 18, issue 18
Articles | Volume 18, issue 18
https://doi.org/10.5194/gmd-18-6195-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-18-6195-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 18, issue 18
Development and technical paper
 | 
23 Sep 2025
Development and technical paper |  | 23 Sep 2025

PyGLDA: a fine-scale python-based global land data assimilation system for integrating satellite gravity data into hydrological models

Fan Yang, Maike Schumacher, Leire Retegui-Schiettekatte, Albert I. J. M. van Dijk, and Ehsan Forootan

Viewed

Total article views: 3,278 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,651 563 64 3,278 84 117
  • HTML: 2,651
  • PDF: 563
  • XML: 64
  • Total: 3,278
  • BibTeX: 84
  • EndNote: 117
Views and downloads (calculated since 19 Jul 2024)
Cumulative views and downloads (calculated since 19 Jul 2024)

Viewed (geographical distribution)

Total article views: 3,278 (including HTML, PDF, and XML) Thereof 3,278 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 08 Jan 2026
Download
Short summary
Satellite gravimetry enables direct measurement of total water storage (TWS), a capability that was previously unattainable. In this study, we present an open-source land data assimilation system with global hydrological model, which temporally, vertically, and laterally dis-aggregates satellite-based TWS. This study provides a practical framework establishing operational water management with current and future satellite gravity missions.
Read more
Share