Articles | Volume 20, issue 5
https://doi.org/10.5194/hess-20-2047-2016
© Author(s) 2016. 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-20-2047-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
24 May 2016
Research article |
| 24 May 2016
HYPERstream: a multi-scale framework for streamflow routing in large-scale hydrological model
Sebastiano Piccolroaz
CORRESPONDING AUTHOR
Department of Civil, Environmental, and Mechanical Engineering, University of Trento, via Mesiano 77, 38122 Trento, Italy
Michele Di Lazzaro
Department of Engineering, Roma Tre University, Via Vito Volterra 62, 00146 Rome, Italy
Antonio Zarlenga
Department of Engineering, Roma Tre University, Via Vito Volterra 62, 00146 Rome, Italy
Bruno Majone
Department of Civil, Environmental, and Mechanical Engineering, University of Trento, via Mesiano 77, 38122 Trento, Italy
Alberto Bellin
Department of Civil, Environmental, and Mechanical Engineering, University of Trento, via Mesiano 77, 38122 Trento, Italy
Aldo Fiori
Department of Engineering, Roma Tre University, Via Vito Volterra 62, 00146 Rome, Italy
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Cited
18 citations as recorded by crossref.
- On the interplay between hillslope and drainage network flow dynamics in the catchment travel time distribution A. Zarlenga et al. https://doi.org/10.1002/hyp.14530
- Comprehensive inventory of large hydropower systems in the Italian Alpine Region A. Galletti et al. https://doi.org/10.5194/essd-17-3353-2025
- Impact of Riverine Fresh Water on Indian Summer Monsoon: Coupling a Runoff Routing Model to a Global Seasonal Forecast Model A. Srivastava et al. https://doi.org/10.3389/fclim.2022.902586
- A dual-layer MPI continuous large-scale hydrological model including Human Systems D. Avesani et al. https://doi.org/10.1016/j.envsoft.2021.105003
- Construction of a daily streamflow dataset for Peru using a similarity-based regionalization approach and a hybrid hydrological modeling framework H. Llauca et al. https://doi.org/10.1016/j.ejrh.2023.101381
- Short-term hydropower optimization driven by innovative time-adapting econometric model D. Avesani et al. https://doi.org/10.1016/j.apenergy.2021.118510
- rabpro: global watershed boundaries, river elevation profiles, and catchment statistics J. Schwenk et al. https://doi.org/10.21105/joss.04237
- Testing the Hydrological Coherence of High‐Resolution Gridded Precipitation and Temperature Data Sets L. Laiti et al. https://doi.org/10.1002/2017WR021633
- Information-theoretic portfolio decision model for optimal flood management M. Convertino et al. https://doi.org/10.1016/j.envsoft.2019.06.013
- Taming the non-linearity: An iterative conceptual routing model for improving flood peak prediction E. Sarkar et al. https://doi.org/10.1016/j.envsoft.2025.106843
- Evolution of river-routing schemes in macro-scale models and their potential for watershed management K. Shaad https://doi.org/10.1080/02626667.2018.1473871
- Detailed simulation of storage hydropower systems in large Alpine watersheds A. Galletti et al. https://doi.org/10.1016/j.jhydrol.2021.127125
- Analysis of high streamflow extremes in climate change studies: how do we calibrate hydrological models? B. Majone et al. https://doi.org/10.5194/hess-26-3863-2022
- Nitrous Oxide Emissions From Drying Streams and Rivers D. Tonina et al. https://doi.org/10.1029/2021GL095305
- Combining Hydrologic Simulations and Stream‐network Models to Reveal Flow‐ecology Relationships in a Large Alpine Catchment S. Larsen et al. https://doi.org/10.1029/2020WR028496
- Improvement of surface run‐off in the hydrological model ParFlow by a scale‐consistent river parameterization B. Schalge et al. https://doi.org/10.1002/hyp.13448
- The sanitary sewer unit hydrograph model: A comprehensive tool for wastewater flow modeling and inflow-infiltration simulations G. Perez et al. https://doi.org/10.1016/j.watres.2023.120997
- Implementation of cell-to-cell routing scheme in a large scale conceptual hydrological model P. Paul et al. https://doi.org/10.1016/j.envsoft.2017.12.003
18 citations as recorded by crossref.
- On the interplay between hillslope and drainage network flow dynamics in the catchment travel time distribution A. Zarlenga et al. https://doi.org/10.1002/hyp.14530
- Comprehensive inventory of large hydropower systems in the Italian Alpine Region A. Galletti et al. https://doi.org/10.5194/essd-17-3353-2025
- Impact of Riverine Fresh Water on Indian Summer Monsoon: Coupling a Runoff Routing Model to a Global Seasonal Forecast Model A. Srivastava et al. https://doi.org/10.3389/fclim.2022.902586
- A dual-layer MPI continuous large-scale hydrological model including Human Systems D. Avesani et al. https://doi.org/10.1016/j.envsoft.2021.105003
- Construction of a daily streamflow dataset for Peru using a similarity-based regionalization approach and a hybrid hydrological modeling framework H. Llauca et al. https://doi.org/10.1016/j.ejrh.2023.101381
- Short-term hydropower optimization driven by innovative time-adapting econometric model D. Avesani et al. https://doi.org/10.1016/j.apenergy.2021.118510
- rabpro: global watershed boundaries, river elevation profiles, and catchment statistics J. Schwenk et al. https://doi.org/10.21105/joss.04237
- Testing the Hydrological Coherence of High‐Resolution Gridded Precipitation and Temperature Data Sets L. Laiti et al. https://doi.org/10.1002/2017WR021633
- Information-theoretic portfolio decision model for optimal flood management M. Convertino et al. https://doi.org/10.1016/j.envsoft.2019.06.013
- Taming the non-linearity: An iterative conceptual routing model for improving flood peak prediction E. Sarkar et al. https://doi.org/10.1016/j.envsoft.2025.106843
- Evolution of river-routing schemes in macro-scale models and their potential for watershed management K. Shaad https://doi.org/10.1080/02626667.2018.1473871
- Detailed simulation of storage hydropower systems in large Alpine watersheds A. Galletti et al. https://doi.org/10.1016/j.jhydrol.2021.127125
- Analysis of high streamflow extremes in climate change studies: how do we calibrate hydrological models? B. Majone et al. https://doi.org/10.5194/hess-26-3863-2022
- Nitrous Oxide Emissions From Drying Streams and Rivers D. Tonina et al. https://doi.org/10.1029/2021GL095305
- Combining Hydrologic Simulations and Stream‐network Models to Reveal Flow‐ecology Relationships in a Large Alpine Catchment S. Larsen et al. https://doi.org/10.1029/2020WR028496
- Improvement of surface run‐off in the hydrological model ParFlow by a scale‐consistent river parameterization B. Schalge et al. https://doi.org/10.1002/hyp.13448
- The sanitary sewer unit hydrograph model: A comprehensive tool for wastewater flow modeling and inflow-infiltration simulations G. Perez et al. https://doi.org/10.1016/j.watres.2023.120997
- Implementation of cell-to-cell routing scheme in a large scale conceptual hydrological model P. Paul et al. https://doi.org/10.1016/j.envsoft.2017.12.003
Saved (final revised paper)
Latest update: 08 Nov 2026
Short summary
We present HYPERstream, an innovative, parsimonious, and computationally efficient streamflow routing scheme based on the width function instantaneous unit hydrograph theory. HYPERstream is designed to be easily coupled with climate models and to preserve the geomorphological dispersion of the river network, irrespective of the model grid size. This makes HYPERstream well suited for multi-scale applications (from catchment up to continental scale) and to investigate extreme events (e.g. floods).
We present HYPERstream, an innovative, parsimonious, and computationally efficient streamflow...
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