Articles | Volume 17, issue 4
https://doi.org/10.5194/hess-17-1575-2013
© 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-17-1575-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
23 Apr 2013
Research article |
| 23 Apr 2013
Topological and canonical kriging for design flood prediction in ungauged catchments: an improvement over a traditional regional regression approach?
S. A. Archfield
US Geological Survey, Northborough, MA, USA
A. Pugliese
Department DICAM, School of Civil Engineering, University of Bologna, Bologna, Italy
A. Castellarin
Department DICAM, School of Civil Engineering, University of Bologna, Bologna, Italy
J. O. Skøien
Institute for Environment and Sustainability, Joint Research Centre, European Commission, Italy
J. E. Kiang
US Geological Survey, Reston, VA, USA
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Cited
39 citations as recorded by crossref.
- On the prediction of extreme flood quantiles at ungauged locations with spatial copula M. Durocher et al. 10.1016/j.jhydrol.2015.12.029
- Inherent Relationship between Flow Duration Curves at Different Time Scales: A Perspective on Monthly Flow Data Utilization in Daily Flow Duration Curve Estimation L. Ye et al. 10.3390/w10081008
- 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
- Transferring measured discharge time series: Large‐scale comparison of Top‐kriging to geomorphology‐based inverse modeling A. de Lavenne et al. 10.1002/2016WR018716
- Synthetic design hydrographs for ungauged catchments: a comparison of regionalization methods M. Brunner et al. 10.1007/s00477-018-1523-3
- Topological data analysis via unsupervised machine learning for recognizing atmospheric river patterns on flood detection F. Ohanuba et al. 10.1016/j.sciaf.2021.e00968
- Development of a kriging-based regional flood frequency analysis technique for South-East Australia S. Ali & A. Rahman 10.1007/s11069-022-05488-4
- The role of station density for predicting daily runoff by top-kriging interpolation in Austria J. Parajka et al. 10.1515/johh-2015-0024
- Estimation of flood warning runoff thresholds in ungauged basins with asymmetric error functions E. Toth 10.5194/hess-20-2383-2016
- Spatial variations of runoff generation at watershed scale M. Vafakhah et al. 10.1007/s13762-018-1784-x
- Calibration of the US Geological Survey National Hydrologic Model in Ungauged Basins Using Statistical At-Site Streamflow Simulations W. Farmer et al. 10.1061/(ASCE)HE.1943-5584.0001854
- Advanced Uncertainty Quantification for Flood Inundation Modelling G. Aitken et al. 10.3390/w16091309
- Flow dynamics at the continental scale: Streamflow correlation and hydrological similarity A. Betterle et al. 10.1002/hyp.13350
- Regionalization of hydrological modeling for predicting streamflow in ungauged catchments: A comprehensive review Y. Guo et al. 10.1002/wat2.1487
- The Data Synergy Effects of Time‐Series Deep Learning Models in Hydrology K. Fang et al. 10.1029/2021WR029583
- Estimating flood quantiles at ungauged sites using nonparametric regression methods with spatial components M. Durocher et al. 10.1080/02626667.2019.1620952
- Can continuous simulation be used as an alternative for flood regionalisation? A large sample example from Chile P. Acuña & A. Pizarro 10.1016/j.jhydrol.2023.130118
- A Probabilistic Framework for Risk Analysis of Widespread Flood Events: A Proof‐of‐Concept Study K. Schneeberger et al. 10.1111/risa.12863
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- Event generation for probabilistic flood risk modelling: multi-site peak flow dependence model vs. weather-generator-based approach B. Winter et al. 10.5194/nhess-20-1689-2020
- 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
- Monthly Runoff Regime Regionalization Through Dissimilarity-Based Methods M. Qamar et al. 10.1007/s11269-015-1087-7
- Regional Flood Frequency Analysis Application of Canonical Kriging Method in Mazandaran Province Watersheds Z. Sheikh et al. 10.29252/jwmr.7.14.47
- Improvement to flooding risk assessment of storm surges by residual interpolation in the coastal areas of Guangdong Province, China X. Wang et al. 10.1016/j.quaint.2016.12.025
- Grey- and rough-set-based seasonal disaster predictions: an analysis of flood data in India R. Rajesh & C. Rajendran 10.1007/s11069-019-03651-y
- Interpolace vybraných průtoků v nepozorovaných povodích IV. řádu v povodí Otavy L. Bureš et al. 10.46555/VTEI.2024.05.002
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- Sources of uncertainty in a probabilistic flood risk model B. Winter et al. 10.1007/s11069-017-3135-5
- Using Physically Based Synthetic Peak Flows to Assess Local and Regional Flood Frequency Analysis Methods G. Perez et al. 10.1029/2019WR024827
- Development of a convolutional neural network based regional flood frequency analysis model for South-east Australia N. Afrin et al. 10.1007/s11069-024-06669-z
- Regional regression models of percentile flows for the contiguous United States: Expert versus data-driven independent variable selection G. Fouad et al. 10.1016/j.ejrh.2018.04.002
- A hierarchical Bayesian model for regionalized seasonal forecasts: Application to low flows in the northeastern United States K. Ahn et al. 10.1002/2016WR019605
- Ordinary kriging as a tool to estimate historical daily streamflow records W. Farmer 10.5194/hess-20-2721-2016
- A geostatistical data-assimilation technique for enhancing macro-scale rainfall–runoff simulations A. Pugliese et al. 10.5194/hess-22-4633-2018
- Geostatistical prediction of flow–duration curves in an index-flow framework A. Pugliese et al. 10.5194/hess-18-3801-2014
- 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
- Operational Bayesian GLS Regression for Regional Hydrologic Analyses D. Reis et al. 10.1029/2019WR026940
- Streamflow data availability in Europe: a detailed dataset of interpolated flow-duration curves S. Persiano et al. 10.5194/essd-14-4435-2022
- Regional prediction of flow-duration curves using a three-dimensional kriging A. Castellarin 10.1016/j.jhydrol.2014.03.050
38 citations as recorded by crossref.
- On the prediction of extreme flood quantiles at ungauged locations with spatial copula M. Durocher et al. 10.1016/j.jhydrol.2015.12.029
- Inherent Relationship between Flow Duration Curves at Different Time Scales: A Perspective on Monthly Flow Data Utilization in Daily Flow Duration Curve Estimation L. Ye et al. 10.3390/w10081008
- 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
- Transferring measured discharge time series: Large‐scale comparison of Top‐kriging to geomorphology‐based inverse modeling A. de Lavenne et al. 10.1002/2016WR018716
- Synthetic design hydrographs for ungauged catchments: a comparison of regionalization methods M. Brunner et al. 10.1007/s00477-018-1523-3
- Topological data analysis via unsupervised machine learning for recognizing atmospheric river patterns on flood detection F. Ohanuba et al. 10.1016/j.sciaf.2021.e00968
- Development of a kriging-based regional flood frequency analysis technique for South-East Australia S. Ali & A. Rahman 10.1007/s11069-022-05488-4
- The role of station density for predicting daily runoff by top-kriging interpolation in Austria J. Parajka et al. 10.1515/johh-2015-0024
- Estimation of flood warning runoff thresholds in ungauged basins with asymmetric error functions E. Toth 10.5194/hess-20-2383-2016
- Spatial variations of runoff generation at watershed scale M. Vafakhah et al. 10.1007/s13762-018-1784-x
- Calibration of the US Geological Survey National Hydrologic Model in Ungauged Basins Using Statistical At-Site Streamflow Simulations W. Farmer et al. 10.1061/(ASCE)HE.1943-5584.0001854
- Advanced Uncertainty Quantification for Flood Inundation Modelling G. Aitken et al. 10.3390/w16091309
- Flow dynamics at the continental scale: Streamflow correlation and hydrological similarity A. Betterle et al. 10.1002/hyp.13350
- Regionalization of hydrological modeling for predicting streamflow in ungauged catchments: A comprehensive review Y. Guo et al. 10.1002/wat2.1487
- The Data Synergy Effects of Time‐Series Deep Learning Models in Hydrology K. Fang et al. 10.1029/2021WR029583
- Estimating flood quantiles at ungauged sites using nonparametric regression methods with spatial components M. Durocher et al. 10.1080/02626667.2019.1620952
- Can continuous simulation be used as an alternative for flood regionalisation? A large sample example from Chile P. Acuña & A. Pizarro 10.1016/j.jhydrol.2023.130118
- A Probabilistic Framework for Risk Analysis of Widespread Flood Events: A Proof‐of‐Concept Study K. Schneeberger et al. 10.1111/risa.12863
- The transfR toolbox for transferring observed streamflow series to ungauged basins based on their hydrogeomorphology A. de Lavenne et al. 10.1016/j.envsoft.2022.105562
- Event generation for probabilistic flood risk modelling: multi-site peak flow dependence model vs. weather-generator-based approach B. Winter et al. 10.5194/nhess-20-1689-2020
- 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
- Monthly Runoff Regime Regionalization Through Dissimilarity-Based Methods M. Qamar et al. 10.1007/s11269-015-1087-7
- Regional Flood Frequency Analysis Application of Canonical Kriging Method in Mazandaran Province Watersheds Z. Sheikh et al. 10.29252/jwmr.7.14.47
- Improvement to flooding risk assessment of storm surges by residual interpolation in the coastal areas of Guangdong Province, China X. Wang et al. 10.1016/j.quaint.2016.12.025
- Grey- and rough-set-based seasonal disaster predictions: an analysis of flood data in India R. Rajesh & C. Rajendran 10.1007/s11069-019-03651-y
- Interpolace vybraných průtoků v nepozorovaných povodích IV. řádu v povodí Otavy L. Bureš et al. 10.46555/VTEI.2024.05.002
- Regional flow duration curves: Geostatistical techniques versus multivariate regression A. Pugliese et al. 10.1016/j.advwatres.2016.06.008
- Sources of uncertainty in a probabilistic flood risk model B. Winter et al. 10.1007/s11069-017-3135-5
- Using Physically Based Synthetic Peak Flows to Assess Local and Regional Flood Frequency Analysis Methods G. Perez et al. 10.1029/2019WR024827
- Development of a convolutional neural network based regional flood frequency analysis model for South-east Australia N. Afrin et al. 10.1007/s11069-024-06669-z
- Regional regression models of percentile flows for the contiguous United States: Expert versus data-driven independent variable selection G. Fouad et al. 10.1016/j.ejrh.2018.04.002
- A hierarchical Bayesian model for regionalized seasonal forecasts: Application to low flows in the northeastern United States K. Ahn et al. 10.1002/2016WR019605
- Ordinary kriging as a tool to estimate historical daily streamflow records W. Farmer 10.5194/hess-20-2721-2016
- A geostatistical data-assimilation technique for enhancing macro-scale rainfall–runoff simulations A. Pugliese et al. 10.5194/hess-22-4633-2018
- Geostatistical prediction of flow–duration curves in an index-flow framework A. Pugliese et al. 10.5194/hess-18-3801-2014
- 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
- Operational Bayesian GLS Regression for Regional Hydrologic Analyses D. Reis et al. 10.1029/2019WR026940
- Streamflow data availability in Europe: a detailed dataset of interpolated flow-duration curves S. Persiano et al. 10.5194/essd-14-4435-2022
1 citations as recorded by crossref.
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