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
Viewed
Total article views: 3,452 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 11 May 2023)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 2,477 | 859 | 116 | 3,452 | 170 | 129 | 155 |
- HTML: 2,477
- PDF: 859
- XML: 116
- Total: 3,452
- Supplement: 170
- BibTeX: 129
- EndNote: 155
Total article views: 2,083 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 30 May 2024)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 1,612 | 394 | 77 | 2,083 | 69 | 94 | 118 |
- HTML: 1,612
- PDF: 394
- XML: 77
- Total: 2,083
- Supplement: 69
- BibTeX: 94
- EndNote: 118
Total article views: 1,369 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 11 May 2023)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 865 | 465 | 39 | 1,369 | 101 | 35 | 37 |
- HTML: 865
- PDF: 465
- XML: 39
- Total: 1,369
- Supplement: 101
- BibTeX: 35
- EndNote: 37
Viewed (geographical distribution)
Total article views: 3,452 (including HTML, PDF, and XML)
Thereof 3,354 with geography defined
and 98 with unknown origin.
Total article views: 2,083 (including HTML, PDF, and XML)
Thereof 2,014 with geography defined
and 69 with unknown origin.
Total article views: 1,369 (including HTML, PDF, and XML)
Thereof 1,340 with geography defined
and 29 with unknown origin.
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
Cited
12 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.
- 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.
- Multi-variable calibration of SWAT in a small experimental catchment area for afforestation scenario analyses E. Nervi et al.
- A controlled model experiment for the global hydrological model WaterGAP3: Understanding recent and new advances in the model structure J. Kupzig & M. Flörke
- Evaluation of globally gridded precipitation data and satellite-based terrestrial water storage products using hydrological drought recovery time Ç. Çakan et al.
- Graphical representation of global water models H. Müller Schmied et al.
- The process and value of reprogramming a legacy global hydrological model E. Nyenah et al.
- A Python interface to the Fortran-based Parallel Data Assimilation Framework: pyPDAF v1.0.2 Y. Chen et al.
- The value of observed reservoir storage anomalies for improving the simulation of reservoir dynamics in large-scale hydrological models S. Hosseini-Moghari & P. Döll
- Enhancing hydrological modeling in large basin with intensive human water use through hierarchical parameterization and bias-integrated calibration K. Cai et al.
- The global water resources and use model WaterGAP v2.2e: description and evaluation of modifications and new features H. Müller Schmied et al.
- Regionalization in global hydrological models and its impact on runoff simulations: a case study using WaterGAP3 (v 1.0.0) J. Kupzig et al.
12 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.
- 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.
- Multi-variable calibration of SWAT in a small experimental catchment area for afforestation scenario analyses E. Nervi et al.
- A controlled model experiment for the global hydrological model WaterGAP3: Understanding recent and new advances in the model structure J. Kupzig & M. Flörke
- Evaluation of globally gridded precipitation data and satellite-based terrestrial water storage products using hydrological drought recovery time Ç. Çakan et al.
- Graphical representation of global water models H. Müller Schmied et al.
- The process and value of reprogramming a legacy global hydrological model E. Nyenah et al.
- A Python interface to the Fortran-based Parallel Data Assimilation Framework: pyPDAF v1.0.2 Y. Chen et al.
- The value of observed reservoir storage anomalies for improving the simulation of reservoir dynamics in large-scale hydrological models S. Hosseini-Moghari & P. Döll
- Enhancing hydrological modeling in large basin with intensive human water use through hierarchical parameterization and bias-integrated calibration K. Cai et al.
- The global water resources and use model WaterGAP v2.2e: description and evaluation of modifications and new features H. Müller Schmied et al.
- Regionalization in global hydrological models and its impact on runoff simulations: a case study using WaterGAP3 (v 1.0.0) J. Kupzig et al.
Saved (final revised paper)
Latest update: 24 May 2026
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...
