Articles | Volume 12, issue 6
https://doi.org/10.5194/gmd-12-2501-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-12-2501-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Model description paper
| 
28 Jun 2019
Model description paper |
| 28 Jun 2019
| 28 Jun 2019
The multiscale routing model mRM v1.0: simple river routing at resolutions from 1 to 50 km
Department of Computational Hydrosystems, Helmholtz Centre for Environmental Research – UFZ, Leipzig, Germany
Matthias Cuntz
Université de Lorraine, Institut National de la Recherche Agronomique (INRA), AgroParisTech, Unité Mixte de Recherche Silva, 54000 Nancy, France
Matthias Kelbling
Department of Computational Hydrosystems, Helmholtz Centre for Environmental Research – UFZ, Leipzig, Germany
Rohini Kumar
Department of Computational Hydrosystems, Helmholtz Centre for Environmental Research – UFZ, Leipzig, Germany
Juliane Mai
Department of Civil and Environmental Engineering, University of Waterloo, Waterloo, Ontario, Canada
Luis Samaniego
Department of Computational Hydrosystems, Helmholtz Centre for Environmental Research – UFZ, Leipzig, Germany
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38 citations as recorded by crossref.
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- Regionalisierung hydrologischer Modelle mit Function Space Optimization M. Feigl et al. 10.1007/s00506-021-00766-0
- A Vector‐Based River Routing Model for Earth System Models: Parallelization and Global Applications N. Mizukami et al. 10.1029/2020MS002434
- Effect of Model Structure and Calibration Algorithm on Discharge Simulation in the Acısu Basin, Turkey H. Alp et al. 10.3390/cli10120196
- Strong hydroclimatic controls on vulnerability to subsurface nitrate contamination across Europe R. Kumar et al. 10.1038/s41467-020-19955-8
- Global hydrological reanalyses: The value of river discharge information for world‐wide downstream applications – The example of the Global Flood Awareness System GloFAS C. Prudhomme et al. 10.1002/met.2192
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- Hydrological Forecasts and Projections for Improved Decision-Making in the Water Sector in Europe L. Samaniego et al. 10.1175/BAMS-D-17-0274.1
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- Comprehensive quality assessment of satellite- and model-based soil moisture products against the COSMOS network in Germany T. Schmidt et al. 10.1016/j.rse.2023.113930
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- The precision of satellite-based net irrigation quantification in the Indus and Ganges basins S. Kragh et al. 10.5194/hess-27-2463-2023
- Improving global hydrological simulations through bias-correction and multi-model blending A. Chevuturi et al. 10.1016/j.jhydrol.2023.129607
- To what extent does river routing matter in hydrological modeling? N. Cortés-Salazar et al. 10.5194/hess-27-3505-2023
- Suitability of 17 gridded rainfall and temperature datasets for large-scale hydrological modelling in West Africa M. Dembélé et al. 10.5194/hess-24-5379-2020
- Insights From Dayflow: A Historical Streamflow Reanalysis Dataset for the Conterminous United States G. Ghimire et al. 10.1029/2022WR032312
- Rhine flood stories: Spatio‐temporal analysis of historic and projected flood genesis in the Rhine River basin E. Rottler et al. 10.1002/hyp.14918
- Improving the Predictive Skill of a Distributed Hydrological Model by Calibration on Spatial Patterns With Multiple Satellite Data Sets M. Dembélé et al. 10.1029/2019WR026085
- Understanding each other's models: an introduction and a standard representation of 16 global water models to support intercomparison, improvement, and communication C. Telteu et al. 10.5194/gmd-14-3843-2021
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- Shifts in flood generation processes exacerbate regional flood anomalies in Europe L. Tarasova et al. 10.1038/s43247-023-00714-8
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- Spatio-temporal analysis of compound hydro-hazard extremes across the UK A. Visser-Quinn et al. 10.1016/j.advwatres.2019.05.019
36 citations as recorded by crossref.
- BasinMaker 3.0: A GIS toolbox for distributed watershed delineation of complex lake-river routing networks M. Han et al. 10.1016/j.envsoft.2023.105688
- Why do we have so many different hydrological models? A review based on the case of Switzerland P. Horton et al. 10.1002/wat2.1574
- An inter-comparison of approaches and frameworks to quantify irrigation from satellite data S. Kragh et al. 10.5194/hess-28-441-2024
- Climate Normalized Spatial Patterns of Evapotranspiration Enhance the Calibration of a Hydrological Model J. Koch et al. 10.3390/rs14020315
- Assessing the response of groundwater quantity and travel time distribution to 1.5, 2, and 3 °C global warming in a mesoscale central German basin M. Jing et al. 10.5194/hess-24-1511-2020
- Projected changes in Rhine River flood seasonality under global warming E. Rottler et al. 10.5194/hess-25-2353-2021
- Effect of data length, spin-up period and spatial model resolution on fully distributed hydrological model calibration in the Moselle basin Ö. Ekmekcioğlu et al. 10.1080/02626667.2022.2046754
- Automatic Regionalization of Model Parameters for Hydrological Models M. Feigl et al. 10.1029/2022WR031966
- Hyper-resolution PCR-GLOBWB: opportunities and challenges from refining model spatial resolution to 1 km over the European continent J. Hoch et al. 10.5194/hess-27-1383-2023
- Regionalisierung hydrologischer Modelle mit Function Space Optimization M. Feigl et al. 10.1007/s00506-021-00766-0
- A Vector‐Based River Routing Model for Earth System Models: Parallelization and Global Applications N. Mizukami et al. 10.1029/2020MS002434
- Effect of Model Structure and Calibration Algorithm on Discharge Simulation in the Acısu Basin, Turkey H. Alp et al. 10.3390/cli10120196
- Strong hydroclimatic controls on vulnerability to subsurface nitrate contamination across Europe R. Kumar et al. 10.1038/s41467-020-19955-8
- Global hydrological reanalyses: The value of river discharge information for world‐wide downstream applications – The example of the Global Flood Awareness System GloFAS C. Prudhomme et al. 10.1002/met.2192
- Great Lakes Runoff Intercomparison Project Phase 3: Lake Erie (GRIP-E) J. Mai et al. 10.1061/(ASCE)HE.1943-5584.0002097
- Tradeoffs Between Temporal and Spatial Pattern Calibration and Their Impacts on Robustness and Transferability of Hydrologic Model Parameters to Ungauged Basins M. Demirel et al. 10.1029/2022WR034193
- A Simple Model of Flood Peak Attenuation R. Paiva & S. Lima 10.1029/2023WR034692
- Dam operation using satellite data and hydrological models: the case of Roseires dam and Grand Ethiopian Renaissance Dam in the Blue Nile River M. Hassan et al. 10.1080/02508060.2023.2286412
- Spatio‐temporal discretization uncertainty of distributed hydrological models S. Markhali et al. 10.1002/hyp.14635
- A hydrography upscaling method for scale-invariant parametrization of distributed hydrological models D. Eilander et al. 10.5194/hess-25-5287-2021
- On the use of distributed hydrologic model for filling large gaps at different parts of the streamflow data E. Ergün & M. Demirel 10.1016/j.jestch.2022.101321
- Estimating Net Irrigation Across the North China Plain Through Dual Modeling of Evapotranspiration J. Koch et al. 10.1029/2020WR027413
- Hydrological Forecasts and Projections for Improved Decision-Making in the Water Sector in Europe L. Samaniego et al. 10.1175/BAMS-D-17-0274.1
- Numerical daemons of hydrological models are summoned by extreme precipitation P. La Follette et al. 10.5194/hess-25-5425-2021
- Comprehensive quality assessment of satellite- and model-based soil moisture products against the COSMOS network in Germany T. Schmidt et al. 10.1016/j.rse.2023.113930
- Scaling Point‐Scale (Pedo)transfer Functions to Seamless Large‐Domain Parameter Estimates for High‐Resolution Distributed Hydrologic Modeling: An Example for the Rhine River R. Imhoff et al. 10.1029/2019WR026807
- The precision of satellite-based net irrigation quantification in the Indus and Ganges basins S. Kragh et al. 10.5194/hess-27-2463-2023
- Improving global hydrological simulations through bias-correction and multi-model blending A. Chevuturi et al. 10.1016/j.jhydrol.2023.129607
- To what extent does river routing matter in hydrological modeling? N. Cortés-Salazar et al. 10.5194/hess-27-3505-2023
- Suitability of 17 gridded rainfall and temperature datasets for large-scale hydrological modelling in West Africa M. Dembélé et al. 10.5194/hess-24-5379-2020
- Insights From Dayflow: A Historical Streamflow Reanalysis Dataset for the Conterminous United States G. Ghimire et al. 10.1029/2022WR032312
- Rhine flood stories: Spatio‐temporal analysis of historic and projected flood genesis in the Rhine River basin E. Rottler et al. 10.1002/hyp.14918
- Improving the Predictive Skill of a Distributed Hydrological Model by Calibration on Spatial Patterns With Multiple Satellite Data Sets M. Dembélé et al. 10.1029/2019WR026085
- Understanding each other's models: an introduction and a standard representation of 16 global water models to support intercomparison, improvement, and communication C. Telteu et al. 10.5194/gmd-14-3843-2021
- Disentangling the Influence of Landscape Characteristics, Hydroclimatic Variability and Land Management on Surface Water NO3‐N Dynamics: Spatially Distributed Modeling Over 30 yr in a Lowland Mixed Land Use Catchment S. Wu et al. 10.1029/2021WR030566
- Shifts in flood generation processes exacerbate regional flood anomalies in Europe L. Tarasova et al. 10.1038/s43247-023-00714-8
2 citations as recorded by crossref.
- Potential of satellite and reanalysis evaporation datasets for hydrological modelling under various model calibration strategies M. Dembélé et al. 10.1016/j.advwatres.2020.103667
- Spatio-temporal analysis of compound hydro-hazard extremes across the UK A. Visser-Quinn et al. 10.1016/j.advwatres.2019.05.019
Latest update: 24 Apr 2024
Short summary
We present a model that aggregates simulated runoff along a river
(i.e. a routing model). The unique feature of the model is that it
can be run at multiple resolutions without any modifications to the
input data. The model internally (dis-)aggregates all input data to
the resolution given by the user. The model performance does not
depend on the chosen resolution. This allows efficient model
calibration at coarse resolution and subsequent model application at
fine resolution.
We present a model that aggregates simulated runoff along a river
(i.e. a routing model). The...
