Articles | Volume 28, issue 10
https://doi.org/10.5194/hess-28-2259-2024
© Author(s) 2024. 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-28-2259-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
30 May 2024
Research article |
| 30 May 2024
| 30 May 2024
Leveraging multi-variable observations to reduce and quantify the output uncertainty of a global hydrological model: evaluation of three ensemble-based approaches for the Mississippi River basin
Institute of Physical Geography, Goethe University Frankfurt, Frankfurt am Main, Germany
Senckenberg Leibniz Biodiversity and Climate Research Centre Frankfurt (SBiK-F), Frankfurt am Main, Germany
Howlader Mohammad Mehedi Hasan
Helmholtz Centre Potsdam GFZ German Research Centre for Geosciences, Potsdam, Germany
Kerstin Schulze
Institute of Geodesy and Geoinformation, University of Bonn, Bonn, Germany
Helena Gerdener
Institute of Geodesy and Geoinformation, University of Bonn, Bonn, Germany
Lara Börger
Institute of Geodesy and Geoinformation, University of Bonn, Bonn, Germany
Somayeh Shadkam
Institute of Physical Geography, Goethe University Frankfurt, Frankfurt am Main, Germany
Sebastian Ackermann
Institute of Physical Geography, Goethe University Frankfurt, Frankfurt am Main, Germany
Seyed-Mohammad Hosseini-Moghari
Institute of Physical Geography, Goethe University Frankfurt, Frankfurt am Main, Germany
Hannes Müller Schmied
Institute of Physical Geography, Goethe University Frankfurt, Frankfurt am Main, Germany
Senckenberg Leibniz Biodiversity and Climate Research Centre Frankfurt (SBiK-F), Frankfurt am Main, Germany
Andreas Güntner
Helmholtz Centre Potsdam GFZ German Research Centre for Geosciences, Potsdam, Germany
Institute of Environmental Science and Geography, University of Potsdam, Potsdam, Germany
Jürgen Kusche
Institute of Geodesy and Geoinformation, University of Bonn, Bonn, Germany
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Cited
7 citations as recorded by crossref.
- Benchmarking historical performance and future projections from a large-scale hydrologic model with a watershed hydrologic model R. Shrestha et al. 10.5194/hess-29-2881-2025
- The benefits and trade-offs of multi-variable calibration of the WaterGAP global hydrological model (WGHM) in the Ganges and Brahmaputra basins H. Hasan et al. 10.5194/hess-29-567-2025
- Graphical representation of global water models H. Müller Schmied et al. 10.5194/gmd-18-2409-2025
- The global water resources and use model WaterGAP v2.2e: description and evaluation of modifications and new features H. Müller Schmied et al. 10.5194/gmd-17-8817-2024
- Regionalization in global hydrological models and its impact on runoff simulations: a case study using WaterGAP3 (v 1.0.0) J. Kupzig et al. 10.5194/gmd-17-6819-2024
- Significance of Multi-Variable Model Calibration in Hydrological Simulations within Data-Scarce River Basins: A Case Study in the Dry-Zone of Sri Lanka K. Pabasara et al. 10.3390/hydrology11080116
- 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
5 citations as recorded by crossref.
- Benchmarking historical performance and future projections from a large-scale hydrologic model with a watershed hydrologic model R. Shrestha et al. 10.5194/hess-29-2881-2025
- The benefits and trade-offs of multi-variable calibration of the WaterGAP global hydrological model (WGHM) in the Ganges and Brahmaputra basins H. Hasan et al. 10.5194/hess-29-567-2025
- Graphical representation of global water models H. Müller Schmied et al. 10.5194/gmd-18-2409-2025
- The global water resources and use model WaterGAP v2.2e: description and evaluation of modifications and new features H. Müller Schmied et al. 10.5194/gmd-17-8817-2024
- Regionalization in global hydrological models and its impact on runoff simulations: a case study using WaterGAP3 (v 1.0.0) J. Kupzig et al. 10.5194/gmd-17-6819-2024
2 citations as recorded by crossref.
- Significance of Multi-Variable Model Calibration in Hydrological Simulations within Data-Scarce River Basins: A Case Study in the Dry-Zone of Sri Lanka K. Pabasara et al. 10.3390/hydrology11080116
- 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
Latest update: 24 Jul 2025
Short summary
Currently, global hydrological models do not benefit from observations of model output variables to reduce and quantify model output uncertainty. For the Mississippi River basin, we explored three approaches for using both streamflow and total water storage anomaly observations to adjust the parameter sets in a global hydrological model. We developed a method for considering the observation uncertainties to quantify the uncertainty of model output and provide recommendations.
Currently, global hydrological models do not benefit from observations of model output variables...
