Articles | Volume 18, issue 8
https://doi.org/10.5194/hess-18-2993-2014
© Author(s) 2014. 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-18-2993-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
14 Aug 2014
Research article |
| 14 Aug 2014
Regional water balance modelling using flow-duration curves with observational uncertainties
I. K. Westerberg
Department of Civil Engineering, University of Bristol, Queen's Building, University Walk, Clifton, BS8 1TR, UK
Department of Earth Sciences, Uppsala University, Villavägen 16, 75236 Uppsala, Sweden
IVL Swedish Environmental Research Institute, P.O. Box 210 60, 10031 Stockholm, Sweden
L. Gong
Department of Earth Sciences, Uppsala University, Villavägen 16, 75236 Uppsala, Sweden
K. J. Beven
Department of Earth Sciences, Uppsala University, Villavägen 16, 75236 Uppsala, Sweden
Lancaster Environment Centre, Lancaster University, Lancaster, LA1 4YQ, UK
J. Seibert
Department of Earth Sciences, Uppsala University, Villavägen 16, 75236 Uppsala, Sweden
Department of Geography, University of Zurich, Winterthurerstrasse 190, 8057 Zurich, Switzerland
A. Semedo
Department of Earth Sciences, Uppsala University, Villavägen 16, 75236 Uppsala, Sweden
CINAV – Escola Naval, Base Naval de Lisboa, Alfeite, 2810-001 Almada, Portugal
C.-Y. Xu
Department of Earth Sciences, Uppsala University, Villavägen 16, 75236 Uppsala, Sweden
Department of Geosciences, University of Oslo, Postboks 1047 Blindern, 0316 Oslo, Norway
S. Halldin
Department of Earth Sciences, Uppsala University, Villavägen 16, 75236 Uppsala, Sweden
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Cited
40 citations as recorded by crossref.
- Uncertainty in hydrological signatures I. Westerberg & H. McMillan https://doi.org/10.5194/hess-19-3951-2015
- Comparing statistical and process-based flow duration curve models in ungauged basins and changing rain regimes M. Müller & S. Thompson https://doi.org/10.5194/hess-20-669-2016
- Parameter and input data uncertainty estimation for the assessment of water resources in two sub-basins of the Limpopo River Basin N. Oosthuizen et al. https://doi.org/10.5194/piahs-378-11-2018
- Significant relationships between drought indicators and impacts for the 2018–2019 drought in Germany A. Shyrokaya et al. https://doi.org/10.1088/1748-9326/ad10d9
- An hourly‐scale scenario‐neutral flood risk assessment in a mesoscale catchment under climate change D. Kim et al. https://doi.org/10.1002/hyp.13273
- The soil water characteristic as new class of closed-form parametric expressions for the flow duration curve M. Sadegh et al. https://doi.org/10.1016/j.jhydrol.2016.01.027
- Informing hydrological models of poorly gauged river catchments – A parameter regionalization and calibration approach C. Kittel et al. https://doi.org/10.1016/j.jhydrol.2020.124999
- Definitions of climatological and discharge days: do they matter in hydrological modelling? J. Reynolds et al. https://doi.org/10.1080/02626667.2018.1451646
- PHYSICAL ANALYSIS OF REGIONALIZED FLOW AS AN AID IN THE IDENTIFICATION OF HYDROLOGICALLY HOMOGENEOUS REGIONS A. Calegario et al. https://doi.org/10.1590/1809-4430-eng.agric.v40n3p334-343/2020
- Remote sensing-aided rainfall–runoff modeling in the tropics of Costa Rica S. Arciniega-Esparza et al. https://doi.org/10.5194/hess-26-975-2022
- A Brief Analysis of Conceptual Model Structure Uncertainty Using 36 Models and 559 Catchments W. Knoben et al. https://doi.org/10.1029/2019WR025975
- Adaptation of water resources systems to changing society and environment: a statement by the International Association of Hydrological Sciences S. Ceola et al. https://doi.org/10.1080/02626667.2016.1230674
- Flow Prediction in Ungauged Catchments Using Probabilistic Random Forests Regionalization and New Statistical Adequacy Tests C. Prieto et al. https://doi.org/10.1029/2018WR023254
- Rating curve estimation under epistemic uncertainty H. McMillan & I. Westerberg https://doi.org/10.1002/hyp.10419
- Tracer‐aided modelling reveals quick runoff generation and young streamflow ages in a tropical rainforest catchment L. Mayer‐Anhalt et al. https://doi.org/10.1002/hyp.14508
- Uncertainty in hydrological signatures for gauged and ungauged catchments I. Westerberg et al. https://doi.org/10.1002/2015WR017635
- Streamflow Estimation in Ungauged Catchments Using Regional Flow Duration Curve: Comparative Study J. Swain & K. Patra https://doi.org/10.1061/(ASCE)HE.1943-5584.0001509
- A Signature‐Based Hydrologic Efficiency Metric for Model Calibration and Evaluation in Gauged and Ungauged Catchments M. Kiraz et al. https://doi.org/10.1029/2023WR035321
- Revisit hydrological modeling in ungauged catchments comparing regionalization, satellite observations, and machine learning approaches R. Dasgupta et al. https://doi.org/10.1016/j.hydres.2023.11.001
- Predicting hourly flows at ungauged small rural catchments using a parsimonious hydrological model A. Tsegaw et al. https://doi.org/10.1016/j.jhydrol.2019.03.090
- The Contribution of Landscape Ecology to Regionalization, Modelling, and Managing in Hydrology: Proposed Approach in the Context of Argentina I. Entraigas https://doi.org/10.1007/s40823-023-00095-w
- Observational uncertainties in hypothesis testing: investigating the hydrological functioning of a tropical catchment I. Westerberg & C. Birkel https://doi.org/10.1002/hyp.10533
- Impacts of observational uncertainty on analysis and modelling of hydrological processes: Preface H. McMillan et al. https://doi.org/10.1002/hyp.14481
- Vorhersage von hydrologischen Abflusskennwerten in unbeobachteten Einzugsgebieten mit Machine Learning C. Klingler et al. https://doi.org/10.1007/s00506-022-00891-4
- Predicting Runoff Signatures Using Regression and Hydrological Modeling Approaches Y. Zhang et al. https://doi.org/10.1029/2018WR023325
- A comparative assessment of rainfall–runoff modelling against regional flow duration curves for ungauged catchments D. Kim et al. https://doi.org/10.5194/hess-21-5647-2017
- Hydrological signatures in Brazilian catchments: a machine learning approach for spatial estimates G. de Oliveira Correa et al. https://doi.org/10.1080/02626667.2024.2446265
- Can climate variability information constrain a hydrological model for an ungauged Costa Rican catchment? B. Quesada‐Montano et al. https://doi.org/10.1002/hyp.11460
- Facing a future water resources management crisis in sub-Saharan Africa D. Hughes https://doi.org/10.1016/j.ejrh.2019.100600
- Assessment and evaluation of potential climate change impact on monsoon flows using machine learning technique over Wainganga River basin, India J. Das & U. Nanduri https://doi.org/10.1080/02626667.2018.1469757
- Potential of the Molawin creek for micro hydro power generation: An assessment J. Casila et al. https://doi.org/10.1016/j.seta.2019.02.005
- Perspective Impact on Water Environment and Hydrological Regime Owing to Climate Change: A Review M. Abbas et al. https://doi.org/10.3390/hydrology9110203
- Hydrological modelling, process understanding and uncertainty in a southern African context: lessons from the northern hemisphere D. Hughes https://doi.org/10.1002/hyp.10721
- Calibration of hydrological models for ecologically relevant streamflow predictions: a trade-off between fitting well to data and estimating consistent parameter sets? T. Hallouin et al. https://doi.org/10.5194/hess-24-1031-2020
- Assessing the potential value of the regionalised input constraint indices for constraining hydrological model simulations in the Congo River Basin P. Kabuya et al. https://doi.org/10.1016/j.advwatres.2021.104093
- Regional regression models of percentile flows for the contiguous United States: Expert versus data-driven independent variable selection G. Fouad et al. https://doi.org/10.1016/j.ejrh.2018.04.002
- Assessing parameter identifiability for multiple performance criteria to constrain model parameters B. Guse et al. https://doi.org/10.1080/02626667.2020.1734204
- Regional water resources assessments using an uncertain modelling approach: The example of Swaziland C. Ndzabandzaba & D. Hughes https://doi.org/10.1016/j.ejrh.2017.01.002
- Regionalization of hydrological modeling for predicting streamflow in ungauged catchments: A comprehensive review Y. Guo et al. https://doi.org/10.1002/wat2.1487
- Assessing parameter uncertainty in semi-distributed hydrological model based on type-2 fuzzy analysis: a case study of Kaidu River Basin C. Wang et al. https://doi.org/10.2166/nh.2015.226
40 citations as recorded by crossref.
- Uncertainty in hydrological signatures I. Westerberg & H. McMillan https://doi.org/10.5194/hess-19-3951-2015
- Comparing statistical and process-based flow duration curve models in ungauged basins and changing rain regimes M. Müller & S. Thompson https://doi.org/10.5194/hess-20-669-2016
- Parameter and input data uncertainty estimation for the assessment of water resources in two sub-basins of the Limpopo River Basin N. Oosthuizen et al. https://doi.org/10.5194/piahs-378-11-2018
- Significant relationships between drought indicators and impacts for the 2018–2019 drought in Germany A. Shyrokaya et al. https://doi.org/10.1088/1748-9326/ad10d9
- An hourly‐scale scenario‐neutral flood risk assessment in a mesoscale catchment under climate change D. Kim et al. https://doi.org/10.1002/hyp.13273
- The soil water characteristic as new class of closed-form parametric expressions for the flow duration curve M. Sadegh et al. https://doi.org/10.1016/j.jhydrol.2016.01.027
- Informing hydrological models of poorly gauged river catchments – A parameter regionalization and calibration approach C. Kittel et al. https://doi.org/10.1016/j.jhydrol.2020.124999
- Definitions of climatological and discharge days: do they matter in hydrological modelling? J. Reynolds et al. https://doi.org/10.1080/02626667.2018.1451646
- PHYSICAL ANALYSIS OF REGIONALIZED FLOW AS AN AID IN THE IDENTIFICATION OF HYDROLOGICALLY HOMOGENEOUS REGIONS A. Calegario et al. https://doi.org/10.1590/1809-4430-eng.agric.v40n3p334-343/2020
- Remote sensing-aided rainfall–runoff modeling in the tropics of Costa Rica S. Arciniega-Esparza et al. https://doi.org/10.5194/hess-26-975-2022
- A Brief Analysis of Conceptual Model Structure Uncertainty Using 36 Models and 559 Catchments W. Knoben et al. https://doi.org/10.1029/2019WR025975
- Adaptation of water resources systems to changing society and environment: a statement by the International Association of Hydrological Sciences S. Ceola et al. https://doi.org/10.1080/02626667.2016.1230674
- Flow Prediction in Ungauged Catchments Using Probabilistic Random Forests Regionalization and New Statistical Adequacy Tests C. Prieto et al. https://doi.org/10.1029/2018WR023254
- Rating curve estimation under epistemic uncertainty H. McMillan & I. Westerberg https://doi.org/10.1002/hyp.10419
- Tracer‐aided modelling reveals quick runoff generation and young streamflow ages in a tropical rainforest catchment L. Mayer‐Anhalt et al. https://doi.org/10.1002/hyp.14508
- Uncertainty in hydrological signatures for gauged and ungauged catchments I. Westerberg et al. https://doi.org/10.1002/2015WR017635
- Streamflow Estimation in Ungauged Catchments Using Regional Flow Duration Curve: Comparative Study J. Swain & K. Patra https://doi.org/10.1061/(ASCE)HE.1943-5584.0001509
- A Signature‐Based Hydrologic Efficiency Metric for Model Calibration and Evaluation in Gauged and Ungauged Catchments M. Kiraz et al. https://doi.org/10.1029/2023WR035321
- Revisit hydrological modeling in ungauged catchments comparing regionalization, satellite observations, and machine learning approaches R. Dasgupta et al. https://doi.org/10.1016/j.hydres.2023.11.001
- Predicting hourly flows at ungauged small rural catchments using a parsimonious hydrological model A. Tsegaw et al. https://doi.org/10.1016/j.jhydrol.2019.03.090
- The Contribution of Landscape Ecology to Regionalization, Modelling, and Managing in Hydrology: Proposed Approach in the Context of Argentina I. Entraigas https://doi.org/10.1007/s40823-023-00095-w
- Observational uncertainties in hypothesis testing: investigating the hydrological functioning of a tropical catchment I. Westerberg & C. Birkel https://doi.org/10.1002/hyp.10533
- Impacts of observational uncertainty on analysis and modelling of hydrological processes: Preface H. McMillan et al. https://doi.org/10.1002/hyp.14481
- Vorhersage von hydrologischen Abflusskennwerten in unbeobachteten Einzugsgebieten mit Machine Learning C. Klingler et al. https://doi.org/10.1007/s00506-022-00891-4
- Predicting Runoff Signatures Using Regression and Hydrological Modeling Approaches Y. Zhang et al. https://doi.org/10.1029/2018WR023325
- A comparative assessment of rainfall–runoff modelling against regional flow duration curves for ungauged catchments D. Kim et al. https://doi.org/10.5194/hess-21-5647-2017
- Hydrological signatures in Brazilian catchments: a machine learning approach for spatial estimates G. de Oliveira Correa et al. https://doi.org/10.1080/02626667.2024.2446265
- Can climate variability information constrain a hydrological model for an ungauged Costa Rican catchment? B. Quesada‐Montano et al. https://doi.org/10.1002/hyp.11460
- Facing a future water resources management crisis in sub-Saharan Africa D. Hughes https://doi.org/10.1016/j.ejrh.2019.100600
- Assessment and evaluation of potential climate change impact on monsoon flows using machine learning technique over Wainganga River basin, India J. Das & U. Nanduri https://doi.org/10.1080/02626667.2018.1469757
- Potential of the Molawin creek for micro hydro power generation: An assessment J. Casila et al. https://doi.org/10.1016/j.seta.2019.02.005
- Perspective Impact on Water Environment and Hydrological Regime Owing to Climate Change: A Review M. Abbas et al. https://doi.org/10.3390/hydrology9110203
- Hydrological modelling, process understanding and uncertainty in a southern African context: lessons from the northern hemisphere D. Hughes https://doi.org/10.1002/hyp.10721
- Calibration of hydrological models for ecologically relevant streamflow predictions: a trade-off between fitting well to data and estimating consistent parameter sets? T. Hallouin et al. https://doi.org/10.5194/hess-24-1031-2020
- Assessing the potential value of the regionalised input constraint indices for constraining hydrological model simulations in the Congo River Basin P. Kabuya et al. https://doi.org/10.1016/j.advwatres.2021.104093
- Regional regression models of percentile flows for the contiguous United States: Expert versus data-driven independent variable selection G. Fouad et al. https://doi.org/10.1016/j.ejrh.2018.04.002
- Assessing parameter identifiability for multiple performance criteria to constrain model parameters B. Guse et al. https://doi.org/10.1080/02626667.2020.1734204
- Regional water resources assessments using an uncertain modelling approach: The example of Swaziland C. Ndzabandzaba & D. Hughes https://doi.org/10.1016/j.ejrh.2017.01.002
- Regionalization of hydrological modeling for predicting streamflow in ungauged catchments: A comprehensive review Y. Guo et al. https://doi.org/10.1002/wat2.1487
- Assessing parameter uncertainty in semi-distributed hydrological model based on type-2 fuzzy analysis: a case study of Kaidu River Basin C. Wang et al. https://doi.org/10.2166/nh.2015.226
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