Articles | Volume 18, issue 9
https://doi.org/10.5194/hess-18-3801-2014
© 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-18-3801-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
30 Sep 2014
Research article |
| 30 Sep 2014
Geostatistical prediction of flow–duration curves in an index-flow framework
A. Pugliese
DICAM, Università di Bologna, Bologna, Italy
A. Castellarin
DICAM, Università di Bologna, Bologna, Italy
A. Brath
DICAM, Università di Bologna, Bologna, Italy
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Cited
41 citations as recorded by crossref.
- Panta Rhei 2013–2015: global perspectives on hydrology, society and change H. McMillan et al. https://doi.org/10.1080/02626667.2016.1159308
- Regionalization of GR4J model parameters for river flow prediction in Paraná, Brazil L. Kuana et al. https://doi.org/10.5194/hess-28-3367-2024
- Ordinary kriging as a tool to estimate historical daily streamflow records W. Farmer https://doi.org/10.5194/hess-20-2721-2016
- A methodology to estimate flow duration curves at partially ungauged basins E. Ridolfi et al. https://doi.org/10.5194/hess-24-2043-2020
- Flow Duration Curves from Surface Reflectance in the Near Infrared Band A. Tarpanelli & A. Domeneghetti https://doi.org/10.3390/app11083458
- Model swapping: A comparative performance signature for the prediction of flow duration curves in ungauged basins M. Qamar et al. https://doi.org/10.1016/j.jhydrol.2016.08.012
- Toward geostatistical unbiased predictions of flow duration curves at ungauged basins W. Wolff & S. Duarte https://doi.org/10.1016/j.advwatres.2021.103915
- The role of station density for predicting daily runoff by top-kriging interpolation in Austria J. Parajka et al. https://doi.org/10.1515/johh-2015-0024
- 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
- Regionalizing Streamflow Regime Function through Integrations of Geographical Controls in Mountainous Basins S. Yang et al. https://doi.org/10.3390/w15020280
- A geostatistical approach to estimate flow duration curve parameters in ungauged basins M. Goodarzi & M. Vazirian https://doi.org/10.1007/s13201-023-01993-4
- The hydromorphology indexIHMbased on fish requirements K. Schmölz et al. https://doi.org/10.1002/rra.4135
- A geostatistical data-assimilation technique for enhancing macro-scale rainfall–runoff simulations A. Pugliese et al. https://doi.org/10.5194/hess-22-4633-2018
- Vorhersage von hydrologischen Abflusskennwerten in unbeobachteten Einzugsgebieten mit Machine Learning C. Klingler et al. https://doi.org/10.1007/s00506-022-00891-4
- Regional Modeling of Long-Term and Annual Flow Duration Curves: Reliability for Information Transfer with Evolutionary Polynomial Regression V. Costa & W. Fernandes https://doi.org/10.1061/(ASCE)HE.1943-5584.0002051
- Bias correction of simulated historical daily streamflow at ungauged locations by using independently estimated flow duration curves W. Farmer et al. https://doi.org/10.5194/hess-22-5741-2018
- Anomaly Kriging Helps to Remove Bias in Spatial Model Runoff Estimates N. Loonat et al. https://doi.org/10.1029/2019WR026240
- Streamflow data availability in Europe: a detailed dataset of interpolated flow-duration curves S. Persiano et al. https://doi.org/10.5194/essd-14-4435-2022
- Regional flow duration curves: Geostatistical techniques versus multivariate regression A. Pugliese et al. https://doi.org/10.1016/j.advwatres.2016.06.008
- Artificial intelligence and geo-statistical models for stream-flow forecasting in ungauged stations: state of the art N. Valizadeh et al. https://doi.org/10.1007/s11069-017-2740-7
- Connecting flow duration curve and precipitation duration curve based on the relationship deduced from machine learning in the watersheds of northern China L. Ma et al. https://doi.org/10.1016/j.jhydrol.2024.131235
- Geology controls streamflow dynamics C. Carlier et al. https://doi.org/10.1016/j.jhydrol.2018.08.069
- Uncertainty in hydrological signatures for gauged and ungauged catchments I. Westerberg et al. https://doi.org/10.1002/2015WR017635
- Prediction of streamflow regimes over large geographical areas: interpolated flow–duration curves for the Danube region A. Castellarin et al. https://doi.org/10.1080/02626667.2018.1445855
- The added value of spatially distributed meteorological data for simulating hydrological processes in a small Mediterranean catchment A. Gara et al. https://doi.org/10.1007/s11600-019-00379-y
- Dynamics of hydrological-model parameters: mechanisms, problems and solutions T. Lan et al. https://doi.org/10.5194/hess-24-1347-2020
- 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
- Patterns of streamflow regimes along the river network: The case of the Thur river B. Doulatyari et al. https://doi.org/10.1016/j.envsoft.2017.03.002
- The legacy of STAHY: milestones, achievements, challenges, and open problems in statistical hydrology E. Volpi et al. https://doi.org/10.1080/02626667.2024.2385686
- Characterizing water surface elevation under different flow conditions for the upcoming SWOT mission A. Domeneghetti et al. https://doi.org/10.1016/j.jhydrol.2018.04.046
- Flow dynamics at the continental scale: Streamflow correlation and hydrological similarity A. Betterle et al. https://doi.org/10.1002/hyp.13350
- Research Trends of Hydrological Drought: A Systematic Review H. Hasan et al. https://doi.org/10.3390/w11112252
- Regionalization of hydrological modeling for predicting streamflow in ungauged catchments: A comprehensive review Y. Guo et al. https://doi.org/10.1002/wat2.1487
- Deriving hydrological inferences from a machine learning model to understand the physical drivers of flow duration curves S. Jain et al. https://doi.org/10.1016/j.jhydrol.2025.134687
- A comparison between generalized least squares regression and top-kriging for homogeneous cross-correlated flood regions S. Persiano et al. https://doi.org/10.1080/02626667.2021.1879389
- Streamflow estimation at partially gaged sites using multiple-dependence conditions via vine copulas K. Ahn https://doi.org/10.5194/hess-25-4319-2021
- Estimation of Flow Duration Curve at Ungauged Locations in Taiwan N. Hsu & C. Huang https://doi.org/10.1061/(ASCE)HE.1943-5584.0001511
- A step toward global-scale applicability and transferability of flow duration curve studies: A flow duration curve review (2000–2020) C. Leong & Y. Yokoo https://doi.org/10.1016/j.jhydrol.2021.126984
- Copula Theory as a Generalized Framework for Flow‐Duration Curve Based Streamflow Estimates in Ungaged and Partially Gaged Catchments S. Worland et al. https://doi.org/10.1029/2019WR025138
- Potential Legacy of SWOT Mission for the Estimation of Flow–Duration Curves A. Domeneghetti et al. https://doi.org/10.3390/rs16142607
- Hydro-power production and fish habitat suitability: Assessing impact and effectiveness of ecological flows at regional scale S. Ceola et al. https://doi.org/10.1016/j.advwatres.2018.04.002
41 citations as recorded by crossref.
- Panta Rhei 2013–2015: global perspectives on hydrology, society and change H. McMillan et al. https://doi.org/10.1080/02626667.2016.1159308
- Regionalization of GR4J model parameters for river flow prediction in Paraná, Brazil L. Kuana et al. https://doi.org/10.5194/hess-28-3367-2024
- Ordinary kriging as a tool to estimate historical daily streamflow records W. Farmer https://doi.org/10.5194/hess-20-2721-2016
- A methodology to estimate flow duration curves at partially ungauged basins E. Ridolfi et al. https://doi.org/10.5194/hess-24-2043-2020
- Flow Duration Curves from Surface Reflectance in the Near Infrared Band A. Tarpanelli & A. Domeneghetti https://doi.org/10.3390/app11083458
- Model swapping: A comparative performance signature for the prediction of flow duration curves in ungauged basins M. Qamar et al. https://doi.org/10.1016/j.jhydrol.2016.08.012
- Toward geostatistical unbiased predictions of flow duration curves at ungauged basins W. Wolff & S. Duarte https://doi.org/10.1016/j.advwatres.2021.103915
- The role of station density for predicting daily runoff by top-kriging interpolation in Austria J. Parajka et al. https://doi.org/10.1515/johh-2015-0024
- 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
- Regionalizing Streamflow Regime Function through Integrations of Geographical Controls in Mountainous Basins S. Yang et al. https://doi.org/10.3390/w15020280
- A geostatistical approach to estimate flow duration curve parameters in ungauged basins M. Goodarzi & M. Vazirian https://doi.org/10.1007/s13201-023-01993-4
- The hydromorphology indexIHMbased on fish requirements K. Schmölz et al. https://doi.org/10.1002/rra.4135
- A geostatistical data-assimilation technique for enhancing macro-scale rainfall–runoff simulations A. Pugliese et al. https://doi.org/10.5194/hess-22-4633-2018
- Vorhersage von hydrologischen Abflusskennwerten in unbeobachteten Einzugsgebieten mit Machine Learning C. Klingler et al. https://doi.org/10.1007/s00506-022-00891-4
- Regional Modeling of Long-Term and Annual Flow Duration Curves: Reliability for Information Transfer with Evolutionary Polynomial Regression V. Costa & W. Fernandes https://doi.org/10.1061/(ASCE)HE.1943-5584.0002051
- Bias correction of simulated historical daily streamflow at ungauged locations by using independently estimated flow duration curves W. Farmer et al. https://doi.org/10.5194/hess-22-5741-2018
- Anomaly Kriging Helps to Remove Bias in Spatial Model Runoff Estimates N. Loonat et al. https://doi.org/10.1029/2019WR026240
- Streamflow data availability in Europe: a detailed dataset of interpolated flow-duration curves S. Persiano et al. https://doi.org/10.5194/essd-14-4435-2022
- Regional flow duration curves: Geostatistical techniques versus multivariate regression A. Pugliese et al. https://doi.org/10.1016/j.advwatres.2016.06.008
- Artificial intelligence and geo-statistical models for stream-flow forecasting in ungauged stations: state of the art N. Valizadeh et al. https://doi.org/10.1007/s11069-017-2740-7
- Connecting flow duration curve and precipitation duration curve based on the relationship deduced from machine learning in the watersheds of northern China L. Ma et al. https://doi.org/10.1016/j.jhydrol.2024.131235
- Geology controls streamflow dynamics C. Carlier et al. https://doi.org/10.1016/j.jhydrol.2018.08.069
- Uncertainty in hydrological signatures for gauged and ungauged catchments I. Westerberg et al. https://doi.org/10.1002/2015WR017635
- Prediction of streamflow regimes over large geographical areas: interpolated flow–duration curves for the Danube region A. Castellarin et al. https://doi.org/10.1080/02626667.2018.1445855
- The added value of spatially distributed meteorological data for simulating hydrological processes in a small Mediterranean catchment A. Gara et al. https://doi.org/10.1007/s11600-019-00379-y
- Dynamics of hydrological-model parameters: mechanisms, problems and solutions T. Lan et al. https://doi.org/10.5194/hess-24-1347-2020
- 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
- Patterns of streamflow regimes along the river network: The case of the Thur river B. Doulatyari et al. https://doi.org/10.1016/j.envsoft.2017.03.002
- The legacy of STAHY: milestones, achievements, challenges, and open problems in statistical hydrology E. Volpi et al. https://doi.org/10.1080/02626667.2024.2385686
- Characterizing water surface elevation under different flow conditions for the upcoming SWOT mission A. Domeneghetti et al. https://doi.org/10.1016/j.jhydrol.2018.04.046
- Flow dynamics at the continental scale: Streamflow correlation and hydrological similarity A. Betterle et al. https://doi.org/10.1002/hyp.13350
- Research Trends of Hydrological Drought: A Systematic Review H. Hasan et al. https://doi.org/10.3390/w11112252
- Regionalization of hydrological modeling for predicting streamflow in ungauged catchments: A comprehensive review Y. Guo et al. https://doi.org/10.1002/wat2.1487
- Deriving hydrological inferences from a machine learning model to understand the physical drivers of flow duration curves S. Jain et al. https://doi.org/10.1016/j.jhydrol.2025.134687
- A comparison between generalized least squares regression and top-kriging for homogeneous cross-correlated flood regions S. Persiano et al. https://doi.org/10.1080/02626667.2021.1879389
- Streamflow estimation at partially gaged sites using multiple-dependence conditions via vine copulas K. Ahn https://doi.org/10.5194/hess-25-4319-2021
- Estimation of Flow Duration Curve at Ungauged Locations in Taiwan N. Hsu & C. Huang https://doi.org/10.1061/(ASCE)HE.1943-5584.0001511
- A step toward global-scale applicability and transferability of flow duration curve studies: A flow duration curve review (2000–2020) C. Leong & Y. Yokoo https://doi.org/10.1016/j.jhydrol.2021.126984
- Copula Theory as a Generalized Framework for Flow‐Duration Curve Based Streamflow Estimates in Ungaged and Partially Gaged Catchments S. Worland et al. https://doi.org/10.1029/2019WR025138
- Potential Legacy of SWOT Mission for the Estimation of Flow–Duration Curves A. Domeneghetti et al. https://doi.org/10.3390/rs16142607
- Hydro-power production and fish habitat suitability: Assessing impact and effectiveness of ecological flows at regional scale S. Ceola et al. https://doi.org/10.1016/j.advwatres.2018.04.002
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