Articles | Volume 19, issue 4
https://doi.org/10.5194/hess-19-2079-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/hess-19-2079-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Data assimilation of GRACE terrestrial water storage estimates into a regional hydrological model of the Rhine River basin
N. Tangdamrongsub
CORRESPONDING AUTHOR
Department of Geoscience and Remote Sensing, Faculty of Civil Engineering and Geosciences, Delft University of Technology, Delft, the Netherlands
S. C. Steele-Dunne
Department of Water Resources, Faculty of Civil Engineering and Geosciences, Delft University of Technology, Delft, the Netherlands
B. C. Gunter
Department of Geoscience and Remote Sensing, Faculty of Civil Engineering and Geosciences, Delft University of Technology, Delft, the Netherlands
School of Aerospace Engineering, Georgia Institute of Technology, Atlanta, GA, USA
P. G. Ditmar
Department of Geoscience and Remote Sensing, Faculty of Civil Engineering and Geosciences, Delft University of Technology, Delft, the Netherlands
A. H. Weerts
Operational Water Management, Deltares, Delft, the Netherlands
Hydrology and Quantitative Water Management Group, Department of Environmental Sciences, Wageningen University, Wageningen, the Netherlands
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- Multi-sensor assimilation of SMOS brightness temperature and GRACE terrestrial water storage observations for soil moisture and shallow groundwater estimation M. Girotto et al. 10.1016/j.rse.2019.04.001
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- Assimilating multivariate remote sensing data into a fully coupled subsurface-land surface hydrological model S. Sadat Soltani et al. 10.1016/j.jhydrol.2024.131812
- Spatial and Temporal Variations of Terrestrial Water Storage in Upper Indus Basin Using GRACE and Altimetry Data D. Hussain et al. 10.1109/ACCESS.2020.2984794
- Assessing sequential data assimilation techniques for integrating GRACE data into a hydrological model M. Khaki et al. 10.1016/j.advwatres.2017.07.001
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- Assimilation of gridded terrestrial water storage observations from GRACE into a land surface model M. Girotto et al. 10.1002/2015WR018417
- The global land water storage data set release 2 (GLWS2.0) derived via assimilating GRACE and GRACE-FO data into a global hydrological model H. Gerdener et al. 10.1007/s00190-023-01763-9
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