Articles | Volume 17, issue 2
https://doi.org/10.5194/hess-17-445-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Special issue:
https://doi.org/10.5194/hess-17-445-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
01 Feb 2013
Research article |
| 01 Feb 2013
An educational model for ensemble streamflow simulation and uncertainty analysis
A. AghaKouchak
University of California Irvine, Irvine, CA 92697, USA
N. Nakhjiri
University of California Irvine, Irvine, CA 92697, USA
E. Habib
University of Louisiana at Lafayette, Lafayette, Louisiana, 70504, USA
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Cited
28 citations as recorded by crossref.
- Assessing climate change impacts on water resources in the Benue River Basin, Northern Cameroon R. Nonki et al. https://doi.org/10.1007/s12665-019-8614-4
- Two-Dimensional Flood Inundation Modeling in the Godavari River Basin, India—Insights on Model Output Uncertainty V. Sharma & S. Regonda https://doi.org/10.3390/w13020191
- Maximum entropy-Gumbel-Hougaard copula method for simulation of monthly streamflow in Xiangxi river, China X. Kong et al. https://doi.org/10.1007/s00477-014-0978-0
- Uncertainty analysis of hydrological model parameters based on the bootstrap method: A case study of the SWAT model applied to the Dongliao River Watershed, Jilin Province, Northeastern China Z. Zhang et al. https://doi.org/10.1007/s11431-013-5385-0
- Performance assessment and uncertainty prediction of a daily time-step HBV-Light rainfall-runoff model for the Upper Benue River Basin, Northern Cameroon R. Nonki et al. https://doi.org/10.1016/j.ejrh.2021.100849
- A Conceptual Model to Quantify the Water Balance Components of a Watershed in a Continuous Permafrost Region A. Lubini Tshumuka & M. Fuamba https://doi.org/10.3390/w16010083
- A Novel Physics‐Aware Machine Learning‐Based Dynamic Error Correction Model for Improving Streamflow Forecast Accuracy A. Roy et al. https://doi.org/10.1029/2022WR033318
- Using Leaves as a Model for Teaching Watershed Concepts in Natural Resources Science and Engineering Programs A. Anandhi et al. https://doi.org/10.4195/nse2017.09.0020
- Impacts of spatiotemporal resolutions of precipitation on flood event simulation based on multimodel structures – a case study over the Xiang River basin in China Q. Zhu et al. https://doi.org/10.5194/hess-28-1665-2024
- Teaching hydrological modelling: illustrating model structure uncertainty with a ready-to-use computational exercise W. Knoben & D. Spieler https://doi.org/10.5194/hess-26-3299-2022
- The potential of radar-based ensemble forecasts for flash-flood early warning in the southern Swiss Alps K. Liechti et al. https://doi.org/10.5194/hess-17-3853-2013
- A user-friendly software package for VIC hydrologic model development S. Wi et al. https://doi.org/10.1016/j.envsoft.2017.09.006
- Suitability of high-temporal satellite-based precipitation products in flood simulation over a humid region of China Q. Zhu et al. https://doi.org/10.1080/02626667.2020.1844206
- Watershed modeling applications with a modular physically-based and spatially-distributed watershed educational toolbox L. Huning & S. Margulis https://doi.org/10.1016/j.envsoft.2015.02.008
- The CHRS Data Portal, an easily accessible public repository for PERSIANN global satellite precipitation data P. Nguyen et al. https://doi.org/10.1038/sdata.2018.296
- An enhanced python framework for hydrological modeling in alpine catchments: Snow hysteresis and glacier ice melt M. Masten et al. https://doi.org/10.1016/j.envsoft.2025.106842
- Quantification and allocation of uncertainties of climate change impacts on hydropower potential under 1.5 °C and 2.0 °C global warming levels in the headwaters of the Benue River Basin, Cameroon R. Nonki et al. https://doi.org/10.1016/j.renene.2023.118979
- A snapshot sample on how COVID-19 impacted and holds up a mirror to European water education B. Fischer & A. Tatomir https://doi.org/10.5194/gc-5-261-2022
- airGRteaching: an open-source tool for teaching hydrological modeling with R O. Delaigue et al. https://doi.org/10.5194/hess-27-3293-2023
- Supporting undergraduate students’ developing water literacy during a global pandemic: a longitudinal study S. Mostacedo-Marasovic et al. https://doi.org/10.1186/s43031-022-00049-y
- Exploring parsimonious daily rainfall-runoff model structure using the hyperbolic tangent function and Tank model J. Song et al. https://doi.org/10.1016/j.jhydrol.2019.04.054
- Towards Broader Adoption of Educational Innovations in Undergraduate Water Resources Engineering: Views from Academia and Industry E. Habib & M. Deshotel https://doi.org/10.1111/j.1936-704X.2018.03283.x
- A Multi-Model Nonstationary Rainfall-Runoff Modeling Framework: Analysis and Toolbox M. Sadegh et al. https://doi.org/10.1007/s11269-019-02283-y
- Modelling water systems in an introductory undergraduate course: Students’ use and evaluation of data-driven, computer-based models D. Lally & C. Forbes https://doi.org/10.1080/09500693.2019.1657252
- Predicting the daily flow in ungauged catchments of the eastern part of the upper Blue Nile basin, Ethiopia S. Mekonnen et al. https://doi.org/10.1007/s40899-023-00856-9
- On the Value of Hydrological Models Developed in the Context of Undergraduate Education for Discharge Prediction and Reservoir Management H. Bormann & O. Caspari https://doi.org/10.1007/s11269-015-1015-x
- Classification issues within ensemble-based simulation: application to surge floods forecasting S. Kovalchuk et al. https://doi.org/10.1007/s00477-016-1324-5
- Investigation of flow-rainfall co-variation for catchments selected based on the two main sources of River Nile C. Onyutha & P. Willems https://doi.org/10.1007/s00477-017-1397-9
28 citations as recorded by crossref.
- Assessing climate change impacts on water resources in the Benue River Basin, Northern Cameroon R. Nonki et al. https://doi.org/10.1007/s12665-019-8614-4
- Two-Dimensional Flood Inundation Modeling in the Godavari River Basin, India—Insights on Model Output Uncertainty V. Sharma & S. Regonda https://doi.org/10.3390/w13020191
- Maximum entropy-Gumbel-Hougaard copula method for simulation of monthly streamflow in Xiangxi river, China X. Kong et al. https://doi.org/10.1007/s00477-014-0978-0
- Uncertainty analysis of hydrological model parameters based on the bootstrap method: A case study of the SWAT model applied to the Dongliao River Watershed, Jilin Province, Northeastern China Z. Zhang et al. https://doi.org/10.1007/s11431-013-5385-0
- Performance assessment and uncertainty prediction of a daily time-step HBV-Light rainfall-runoff model for the Upper Benue River Basin, Northern Cameroon R. Nonki et al. https://doi.org/10.1016/j.ejrh.2021.100849
- A Conceptual Model to Quantify the Water Balance Components of a Watershed in a Continuous Permafrost Region A. Lubini Tshumuka & M. Fuamba https://doi.org/10.3390/w16010083
- A Novel Physics‐Aware Machine Learning‐Based Dynamic Error Correction Model for Improving Streamflow Forecast Accuracy A. Roy et al. https://doi.org/10.1029/2022WR033318
- Using Leaves as a Model for Teaching Watershed Concepts in Natural Resources Science and Engineering Programs A. Anandhi et al. https://doi.org/10.4195/nse2017.09.0020
- Impacts of spatiotemporal resolutions of precipitation on flood event simulation based on multimodel structures – a case study over the Xiang River basin in China Q. Zhu et al. https://doi.org/10.5194/hess-28-1665-2024
- Teaching hydrological modelling: illustrating model structure uncertainty with a ready-to-use computational exercise W. Knoben & D. Spieler https://doi.org/10.5194/hess-26-3299-2022
- The potential of radar-based ensemble forecasts for flash-flood early warning in the southern Swiss Alps K. Liechti et al. https://doi.org/10.5194/hess-17-3853-2013
- A user-friendly software package for VIC hydrologic model development S. Wi et al. https://doi.org/10.1016/j.envsoft.2017.09.006
- Suitability of high-temporal satellite-based precipitation products in flood simulation over a humid region of China Q. Zhu et al. https://doi.org/10.1080/02626667.2020.1844206
- Watershed modeling applications with a modular physically-based and spatially-distributed watershed educational toolbox L. Huning & S. Margulis https://doi.org/10.1016/j.envsoft.2015.02.008
- The CHRS Data Portal, an easily accessible public repository for PERSIANN global satellite precipitation data P. Nguyen et al. https://doi.org/10.1038/sdata.2018.296
- An enhanced python framework for hydrological modeling in alpine catchments: Snow hysteresis and glacier ice melt M. Masten et al. https://doi.org/10.1016/j.envsoft.2025.106842
- Quantification and allocation of uncertainties of climate change impacts on hydropower potential under 1.5 °C and 2.0 °C global warming levels in the headwaters of the Benue River Basin, Cameroon R. Nonki et al. https://doi.org/10.1016/j.renene.2023.118979
- A snapshot sample on how COVID-19 impacted and holds up a mirror to European water education B. Fischer & A. Tatomir https://doi.org/10.5194/gc-5-261-2022
- airGRteaching: an open-source tool for teaching hydrological modeling with R O. Delaigue et al. https://doi.org/10.5194/hess-27-3293-2023
- Supporting undergraduate students’ developing water literacy during a global pandemic: a longitudinal study S. Mostacedo-Marasovic et al. https://doi.org/10.1186/s43031-022-00049-y
- Exploring parsimonious daily rainfall-runoff model structure using the hyperbolic tangent function and Tank model J. Song et al. https://doi.org/10.1016/j.jhydrol.2019.04.054
- Towards Broader Adoption of Educational Innovations in Undergraduate Water Resources Engineering: Views from Academia and Industry E. Habib & M. Deshotel https://doi.org/10.1111/j.1936-704X.2018.03283.x
- A Multi-Model Nonstationary Rainfall-Runoff Modeling Framework: Analysis and Toolbox M. Sadegh et al. https://doi.org/10.1007/s11269-019-02283-y
- Modelling water systems in an introductory undergraduate course: Students’ use and evaluation of data-driven, computer-based models D. Lally & C. Forbes https://doi.org/10.1080/09500693.2019.1657252
- Predicting the daily flow in ungauged catchments of the eastern part of the upper Blue Nile basin, Ethiopia S. Mekonnen et al. https://doi.org/10.1007/s40899-023-00856-9
- On the Value of Hydrological Models Developed in the Context of Undergraduate Education for Discharge Prediction and Reservoir Management H. Bormann & O. Caspari https://doi.org/10.1007/s11269-015-1015-x
- Classification issues within ensemble-based simulation: application to surge floods forecasting S. Kovalchuk et al. https://doi.org/10.1007/s00477-016-1324-5
- Investigation of flow-rainfall co-variation for catchments selected based on the two main sources of River Nile C. Onyutha & P. Willems https://doi.org/10.1007/s00477-017-1397-9
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