Articles | Volume 15, issue 3
https://doi.org/10.5194/hess-15-715-2011
© Author(s) 2011. 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-15-715-2011
© Author(s) 2011. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
04 Mar 2011
Research article |
| 04 Mar 2011
Smooth regional estimation of low-flow indices: physiographical space based interpolation and top-kriging
S. Castiglioni
School of Civil Engineering (Dept. DICAM), University of Bologna, Italy
A. Castellarin
School of Civil Engineering (Dept. DICAM), University of Bologna, Italy
A. Montanari
School of Civil Engineering (Dept. DICAM), University of Bologna, Italy
J. O. Skøien
Department of Physical Geography, University of Utrecht, The Netherlands
Institute for Environment and Sustainability, Joint Research Centre, European Commission, Italy
G. Laaha
Institute of Applied Statistics and Computing, University of Natural Resources and Life Sciences, BOKU Vienna, Austria
G. Blöschl
Institute for Hydraulic and Water Resources Engineering, Vienna University of Technology, Vienna, Austria
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Cited
49 citations as recorded by crossref.
- Parsimonious statistical learning models for low-flow estimation J. Laimighofer et al. 10.5194/hess-26-129-2022
- Use of Cokriging and Map Correlation to Study Hydrological Response Patterns and Select Reference Stream Gauges for Ungauged Catchments M. Zelelew & K. Alfredsen 10.1061/(ASCE)HE.1943-5584.0000803
- Regional Statistical and Precipitation–Runoff Modelling for Ecological Applications: Prediction of Hourly Streamflow in Regulated Rivers and Ungauged Basins T. Hailegeorgis & K. Alfredsen 10.1002/rra.3006
- Predicting hydrological signatures in ungauged catchments using spatial interpolation, index model, and rainfall–runoff modelling Y. Zhang et al. 10.1016/j.jhydrol.2014.06.032
- Ordinary kriging as a tool to estimate historical daily streamflow records W. Farmer 10.5194/hess-20-2721-2016
- Using spot flow measurements in a regionalized hydrological model to improve the low flow statistical estimations of rivers: The case of Réunion Island N. Folton 10.1016/j.ejrh.2024.101730
- Regional prediction of flow-duration curves using a three-dimensional kriging A. Castellarin 10.1016/j.jhydrol.2014.03.050
- TopREML: a topological restricted maximum likelihood approach to regionalize trended runoff signatures in stream networks M. Müller & S. Thompson 10.5194/hess-19-2925-2015
- Sources of uncertainty in a probabilistic flood risk model B. Winter et al. 10.1007/s11069-017-3135-5
- Topological and canonical kriging for design flood prediction in ungauged catchments: an improvement over a traditional regional regression approach? S. Archfield et al. 10.5194/hess-17-1575-2013
- A decade of Predictions in Ungauged Basins (PUB)—a review M. Hrachowitz et al. 10.1080/02626667.2013.803183
- A Framework for Dry Period Low Flow Forecasting in Mediterranean Streams K. Risva et al. 10.1007/s11269-018-2060-z
- A neural network ensemble approach with jittered basin characteristics for regionalized low flow frequency analysis K. Ahn 10.1016/j.jhydrol.2020.125501
- Comparative assessment of predictions in ungauged basins – Part 2: Flood and low flow studies J. Salinas et al. 10.5194/hess-17-2637-2013
- Calibration of a rainfall–runoff model at regional scale by optimising river discharge statistics: Performance analysis for the average/low flow regime L. Lombardi et al. 10.1016/j.pce.2011.05.013
- Change in low flows due to catchment management dynamics—Application of a comparative modelling approach T. Gebremicael et al. 10.1002/hyp.13715
- A geostatistical data-assimilation technique for enhancing macro-scale rainfall–runoff simulations A. Pugliese et al. 10.5194/hess-22-4633-2018
- Data-driven catchment classification: application to the pub problem M. Di Prinzio et al. 10.5194/hess-15-1921-2011
- Evaluation of parametric and statistical approaches for the regionalization of flow duration curves in intermittent regimes G. Mendicino & A. Senatore 10.1016/j.jhydrol.2012.12.017
- Operational Bayesian GLS Regression for Regional Hydrologic Analyses D. Reis et al. 10.1029/2019WR026940
- A one-step similarity approach for the regionalization of hydrological model parameters based on Self-Organizing Maps M. Wallner et al. 10.1016/j.jhydrol.2013.04.022
- Comparing Spatial Interpolation Schemes for Constructing a Flow Duration Curve in an Ungauged Basin M. Waseem et al. 10.1007/s11269-015-0939-5
- Modelling bivariate extreme precipitation distribution for data‐scarce regions using Gumbel–Hougaard copula with maximum entropy estimation L. Qian et al. 10.1002/hyp.11406
- Development and evaluation of an extended inverse distance weighting method for streamflow estimation at an ungauged site M. Waseem et al. 10.2166/nh.2015.117
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- A Quantitative Hydrological Climate Classification Evaluated With Independent Streamflow Data W. Knoben et al. 10.1029/2018WR022913
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- Regionalization of flow duration curves in the Amazon with the definition of homogeneous regions via fuzzy C-means F. PESSOA et al. 10.1590/0001-3765202120190747
- A Probabilistic Framework for Risk Analysis of Widespread Flood Events: A Proof‐of‐Concept Study K. Schneeberger et al. 10.1111/risa.12863
- Mapping the spatial variability of rainfall from a physiographic-based multilinear regression: model development and application to the Southwestern Iberian Peninsula V. Ruiz-Ortiz et al. 10.1007/s10661-022-10312-4
- Geostatistical prediction of flow–duration curves in an index-flow framework A. Pugliese et al. 10.5194/hess-18-3801-2014
- Regional flow duration curves: Geostatistical techniques versus multivariate regression A. Pugliese et al. 10.1016/j.advwatres.2016.06.008
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- Prediction of streamflow regimes over large geographical areas: interpolated flow–duration curves for the Danube region A. Castellarin et al. 10.1080/02626667.2018.1445855
- Constraining Conceptual Hydrological Models With Multiple Information Sources R. Nijzink et al. 10.1029/2017WR021895
- Continuous streamflow prediction in ungauged basins: long short-term memory neural networks clearly outperform traditional hydrological models R. Arsenault et al. 10.5194/hess-27-139-2023
- Improving predictions of hydrological low-flow indices in ungaged basins using machine learning S. Worland et al. 10.1016/j.envsoft.2017.12.021
- Streamflow Forecasting without Models W. Krajewski et al. 10.1175/JHM-D-19-0292.1
- Streamflow data availability in Europe: a detailed dataset of interpolated flow-duration curves S. Persiano et al. 10.5194/essd-14-4435-2022
- Spatial Interpolation of Annual Runoff in Ungauged Basins Based on the Improved Information Diffusion Model Using a Genetic Algorithm M. Hong et al. 10.1155/2017/4293731
- Design rainfall depth estimation through two regional frequency analysis methods in Hanjiang River Basin, China Y. Xu et al. 10.1007/s00704-011-0497-6
48 citations as recorded by crossref.
- Parsimonious statistical learning models for low-flow estimation J. Laimighofer et al. 10.5194/hess-26-129-2022
- Use of Cokriging and Map Correlation to Study Hydrological Response Patterns and Select Reference Stream Gauges for Ungauged Catchments M. Zelelew & K. Alfredsen 10.1061/(ASCE)HE.1943-5584.0000803
- Regional Statistical and Precipitation–Runoff Modelling for Ecological Applications: Prediction of Hourly Streamflow in Regulated Rivers and Ungauged Basins T. Hailegeorgis & K. Alfredsen 10.1002/rra.3006
- Predicting hydrological signatures in ungauged catchments using spatial interpolation, index model, and rainfall–runoff modelling Y. Zhang et al. 10.1016/j.jhydrol.2014.06.032
- Ordinary kriging as a tool to estimate historical daily streamflow records W. Farmer 10.5194/hess-20-2721-2016
- Using spot flow measurements in a regionalized hydrological model to improve the low flow statistical estimations of rivers: The case of Réunion Island N. Folton 10.1016/j.ejrh.2024.101730
- Regional prediction of flow-duration curves using a three-dimensional kriging A. Castellarin 10.1016/j.jhydrol.2014.03.050
- TopREML: a topological restricted maximum likelihood approach to regionalize trended runoff signatures in stream networks M. Müller & S. Thompson 10.5194/hess-19-2925-2015
- Sources of uncertainty in a probabilistic flood risk model B. Winter et al. 10.1007/s11069-017-3135-5
- Topological and canonical kriging for design flood prediction in ungauged catchments: an improvement over a traditional regional regression approach? S. Archfield et al. 10.5194/hess-17-1575-2013
- A decade of Predictions in Ungauged Basins (PUB)—a review M. Hrachowitz et al. 10.1080/02626667.2013.803183
- A Framework for Dry Period Low Flow Forecasting in Mediterranean Streams K. Risva et al. 10.1007/s11269-018-2060-z
- A neural network ensemble approach with jittered basin characteristics for regionalized low flow frequency analysis K. Ahn 10.1016/j.jhydrol.2020.125501
- Comparative assessment of predictions in ungauged basins – Part 2: Flood and low flow studies J. Salinas et al. 10.5194/hess-17-2637-2013
- Calibration of a rainfall–runoff model at regional scale by optimising river discharge statistics: Performance analysis for the average/low flow regime L. Lombardi et al. 10.1016/j.pce.2011.05.013
- Change in low flows due to catchment management dynamics—Application of a comparative modelling approach T. Gebremicael et al. 10.1002/hyp.13715
- A geostatistical data-assimilation technique for enhancing macro-scale rainfall–runoff simulations A. Pugliese et al. 10.5194/hess-22-4633-2018
- Data-driven catchment classification: application to the pub problem M. Di Prinzio et al. 10.5194/hess-15-1921-2011
- Evaluation of parametric and statistical approaches for the regionalization of flow duration curves in intermittent regimes G. Mendicino & A. Senatore 10.1016/j.jhydrol.2012.12.017
- Operational Bayesian GLS Regression for Regional Hydrologic Analyses D. Reis et al. 10.1029/2019WR026940
- A one-step similarity approach for the regionalization of hydrological model parameters based on Self-Organizing Maps M. Wallner et al. 10.1016/j.jhydrol.2013.04.022
- Comparing Spatial Interpolation Schemes for Constructing a Flow Duration Curve in an Ungauged Basin M. Waseem et al. 10.1007/s11269-015-0939-5
- Modelling bivariate extreme precipitation distribution for data‐scarce regions using Gumbel–Hougaard copula with maximum entropy estimation L. Qian et al. 10.1002/hyp.11406
- Development and evaluation of an extended inverse distance weighting method for streamflow estimation at an ungauged site M. Waseem et al. 10.2166/nh.2015.117
- Synthetic design hydrographs for ungauged catchments: a comparison of regionalization methods M. Brunner et al. 10.1007/s00477-018-1523-3
- Spatial prediction on river networks: comparison of top-kriging with regional regression G. Laaha et al. 10.1002/hyp.9578
- Development of a kriging-based regional flood frequency analysis technique for South-East Australia S. Ali & A. Rahman 10.1007/s11069-022-05488-4
- What Do They Have in Common? Drivers of Streamflow Spatial Correlation and Prediction of Flow Regimes in Ungauged Locations A. Betterle et al. 10.1002/2017WR021144
- Low-flow frequency analysis at ungauged sites based on regionally estimated streamflows A. Requena et al. 10.1016/j.jhydrol.2018.06.016
- Catchment Classification Framework in Hydrology: Challenges and Directions B. Sivakumar et al. 10.1061/(ASCE)HE.1943-5584.0000837
- A Quantitative Hydrological Climate Classification Evaluated With Independent Streamflow Data W. Knoben et al. 10.1029/2018WR022913
- A comparison between generalized least squares regression and top-kriging for homogeneous cross-correlated flood regions S. Persiano et al. 10.1080/02626667.2021.1879389
- Regionalization of flow duration curves in the Amazon with the definition of homogeneous regions via fuzzy C-means F. PESSOA et al. 10.1590/0001-3765202120190747
- A Probabilistic Framework for Risk Analysis of Widespread Flood Events: A Proof‐of‐Concept Study K. Schneeberger et al. 10.1111/risa.12863
- Mapping the spatial variability of rainfall from a physiographic-based multilinear regression: model development and application to the Southwestern Iberian Peninsula V. Ruiz-Ortiz et al. 10.1007/s10661-022-10312-4
- Geostatistical prediction of flow–duration curves in an index-flow framework A. Pugliese et al. 10.5194/hess-18-3801-2014
- Regional flow duration curves: Geostatistical techniques versus multivariate regression A. Pugliese et al. 10.1016/j.advwatres.2016.06.008
- Characterizing the spatial correlation of daily streamflows A. Betterle et al. 10.1002/2016WR019195
- Clines in Africa: does size vary in the same way among widespread sub‐Saharan monkeys? A. Cardini et al. 10.1111/j.1365-2699.2012.02783.x
- Anomaly Kriging Helps to Remove Bias in Spatial Model Runoff Estimates N. Loonat et al. 10.1029/2019WR026240
- Low-flow estimation beyond the mean – expectile loss and extreme gradient boosting for spatiotemporal low-flow prediction in Austria J. Laimighofer et al. 10.5194/hess-26-4553-2022
- Prediction of streamflow regimes over large geographical areas: interpolated flow–duration curves for the Danube region A. Castellarin et al. 10.1080/02626667.2018.1445855
- Constraining Conceptual Hydrological Models With Multiple Information Sources R. Nijzink et al. 10.1029/2017WR021895
- Continuous streamflow prediction in ungauged basins: long short-term memory neural networks clearly outperform traditional hydrological models R. Arsenault et al. 10.5194/hess-27-139-2023
- Improving predictions of hydrological low-flow indices in ungaged basins using machine learning S. Worland et al. 10.1016/j.envsoft.2017.12.021
- Streamflow Forecasting without Models W. Krajewski et al. 10.1175/JHM-D-19-0292.1
- Streamflow data availability in Europe: a detailed dataset of interpolated flow-duration curves S. Persiano et al. 10.5194/essd-14-4435-2022
- Spatial Interpolation of Annual Runoff in Ungauged Basins Based on the Improved Information Diffusion Model Using a Genetic Algorithm M. Hong et al. 10.1155/2017/4293731
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