Articles | Volume 30, issue 20
https://doi.org/10.5194/hess-30-6623-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-30-6623-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
29 Oct 2026
Research article |
| 29 Oct 2026
| 29 Oct 2026
Enhancing hydrological representation of the Brahmaputra basin through terrestrial water storage and surface soil moisture Data Assimilation
Leire Retegui-Schiettekatte
CORRESPONDING AUTHOR
Geodesy Group, Department of Sustainability and Planning, Aalborg University, Rendsburggade 14, Aalborg, 9000, Denmark
Environmental Science and Policy Management, University of California, Berkeley, Berkeley, CA, United States
Manuela Girotto
Environmental Science and Policy Management, University of California, Berkeley, Berkeley, CA, United States
Maike Schumacher
Geodesy Group, Department of Sustainability and Planning, Aalborg University, Rendsburggade 14, Aalborg, 9000, Denmark
Mohammad Shamsudduha
Department of Risk and Disaster Reduction, University College London, Gower Street, London, WC1E 6BT, United Kingdom
Henrik Madsen
DHI A/S, Agern Allé 5, Hørsholm, 2970, Denmark
Ehsan Forootan
Geodesy Group, Department of Sustainability and Planning, Aalborg University, Rendsburggade 14, Aalborg, 9000, Denmark
School of Geographical Sciences, University of Bristol, University Rd, Bristol BS8 1SS, United Kingdom
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Short summary
An improved method is used to integrate satellite-derived terrestrial water storage and surface soil moisture observations into a hydrological model within the Brahmaputra River basin (South Asia). This leads to a more realistic representation of the water stored in the land, allowing us to better understand its changes in space and time. The information the results provide is crucial in this basin due to its increasing water demand and vulnerability to extreme events because of climate change.
An improved method is used to integrate satellite-derived terrestrial water storage and surface...
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