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.
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.
the Creative Commons Attribution 4.0 License.
Development and technical paper
| 
23 Sep 2025
Development and technical paper |
| 23 Sep 2025
| 23 Sep 2025
PyGLDA: a fine-scale python-based global land data assimilation system for integrating satellite gravity data into hydrological models
Fan Yang
CORRESPONDING AUTHOR
Geodesy Group, Department of Sustainability and Planning, Aalborg University, 9000 Aalborg, Denmark
School of Physics, Huazhong University of Science and Technology, Wuhan 430074, China
Maike Schumacher
Geodesy Group, Department of Sustainability and Planning, Aalborg University, 9000 Aalborg, Denmark
Leire Retegui-Schiettekatte
Geodesy Group, Department of Sustainability and Planning, Aalborg University, 9000 Aalborg, Denmark
Albert I. J. M. van Dijk
Fenner School of Environment & Society, College of Science, Australian National University, 2600 Canberra, Australia
Ehsan Forootan
Geodesy Group, Department of Sustainability and Planning, Aalborg University, 9000 Aalborg, Denmark
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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.
Satellite gravimetry enables direct measurement of total water storage (TWS), a capability that...
