Articles | Volume 27, issue 3
https://doi.org/10.5194/hess-27-647-2023
© Author(s) 2023. 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-27-647-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
02 Feb 2023
Research article |
| 02 Feb 2023
| 02 Feb 2023
Assimilation of transformed water surface elevation to improve river discharge estimation in a continental-scale river
Menaka Revel
CORRESPONDING AUTHOR
Global Hydrological Prediction Center, Institute of Industrial
Science, The University of Tokyo, 153-8505 Tokyo, Japan
Xudong Zhou
Global Hydrological Prediction Center, Institute of Industrial
Science, The University of Tokyo, 153-8505 Tokyo, Japan
Dai Yamazaki
Global Hydrological Prediction Center, Institute of Industrial
Science, The University of Tokyo, 153-8505 Tokyo, Japan
Shinjiro Kanae
Department of Civil and Environmental Engineering, Tokyo Institute of Technology, 152-8550 Tokyo, Japan
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Short summary
The capacity to discern surface water improved as satellites became more available. Because remote sensing data is discontinuous, integrating models with satellite observations will improve knowledge of water resources. However, given the current limitations (e.g., parameter errors) of water resource modeling, merging satellite data with simulations is problematic. Integrating observations and models with the unique approaches given here can lead to a better estimation of surface water dynamics.
The capacity to discern surface water improved as satellites became more available. Because...
