Articles | Volume 20, issue 2
https://doi.org/10.5194/hess-20-887-2016
© Author(s) 2016. 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-20-887-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
26 Feb 2016
Research article |
| 26 Feb 2016
Accounting for dependencies in regionalized signatures for predictions in ungauged catchments
Susana Almeida
CORRESPONDING AUTHOR
Department of Civil Engineering, University of Bristol, Bristol, UK
Department of Civil and Environmental Engineering, Imperial College London, London, UK
Nataliya Le Vine
Department of Civil and Environmental Engineering, Imperial College London, London, UK
Neil McIntyre
Department of Civil and Environmental Engineering, Imperial College London, London, UK
Centre for Water in the Minerals Industry, Sustainable Minerals Institute, The University of Queensland, Brisbane, Australia
Thorsten Wagener
Department of Civil Engineering, University of Bristol, Bristol, UK
Cabot Institute, University of Bristol, Bristol, UK
Wouter Buytaert
Department of Civil and Environmental Engineering, Imperial College London, London, UK
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Cited
22 citations as recorded by crossref.
- A Signature‐Based Hydrologic Efficiency Metric for Model Calibration and Evaluation in Gauged and Ungauged Catchments M. Kiraz et al. 10.1029/2023WR035321
- Flow Prediction in Ungauged Catchments Using Probabilistic Random Forests Regionalization and New Statistical Adequacy Tests C. Prieto et al. 10.1029/2018WR023254
- Regionalization of land‐use impacts on streamflow using a network of paired catchments B. Ochoa‐Tocachi et al. 10.1002/2016WR018596
- Regionalization of hydrological modeling for predicting streamflow in ungauged catchments: A comprehensive review Y. Guo et al. 10.1002/wat2.1487
- A Hydrologic Functional Approach for Improving Large‐Sample Hydrology Performance in Poorly Gauged Regions J. Janssen & A. Ameli 10.1029/2021WR030263
- Research on parameter regionalization based on decision tree algorithm: a case study of 16 catchments in northeast China X. Zhao et al. 10.1080/02626667.2024.2436113
- An Exploration of Bayesian Identification of Dominant Hydrological Mechanisms in Ungauged Catchments C. Prieto et al. 10.1029/2021WR030705
- Characterizing Watersheds to Support Land-use Planning in Indonesia: A Case Study of Brantas Tropical Watershed B. Wiwoho et al. 10.1016/j.ecohyd.2023.06.001
- Probabilistic Predictions of Ecologically Relevant Hydrologic Indices Using a Hydrological Model J. Hernandez‐Suarez & A. Nejadhashemi 10.1029/2021WR031104
- Uncertainty in Flow Time-Series Predictions in a Tropical Monsoon-Dominated Catchment in Northern Thailand S. Visessri & N. McIntyre 10.1061/(ASCE)HE.1943-5584.0001407
- Constraining Conceptual Hydrological Models With Multiple Information Sources R. Nijzink et al. 10.1029/2017WR021895
- Modelling river flow in cold and ungauged regions: a review of the purposes, methods, and challenges C. Belvederesi et al. 10.1139/er-2021-0043
- Exploring Signature‐Based Model Calibration for Streamflow Prediction in Ungauged Basins M. Dal Molin et al. 10.1029/2022WR031929
- Understanding hydrologic variability across Europe through catchment classification A. Kuentz et al. 10.5194/hess-21-2863-2017
- A review of hydrologic signatures and their applications H. McMillan 10.1002/wat2.1499
- Assessing the potential value of the regionalised input constraint indices for constraining hydrological model simulations in the Congo River Basin P. Kabuya et al. 10.1016/j.advwatres.2021.104093
- Regional streamflow prediction in northwest Spain: A comparative analysis of regionalisation schemes J. Farfán & L. Cea 10.1016/j.ejrh.2023.101427
- High-resolution hydrometeorological data from a network of headwater catchments in the tropical Andes B. Ochoa-Tocachi et al. 10.1038/sdata.2018.80
- Location, location, location – Considering relative catchment location to understand subsurface losses M. Kiraz-Safari et al. 10.1016/j.jhydrol.2024.132328
- Homogeneous region determination using linear and nonlinear techniques J. Swain et al. 10.1080/02723646.2016.1211460
- Fully distributed hydrological modelling for catchment-wide hydrological data verification D. Ocio et al. 10.2166/nh.2019.006
- Investigating Parameters of Geomorphic Direct Runoff Hydrograph Models A. Ghumman et al. 10.1134/S0097807819010068
19 citations as recorded by crossref.
- A Signature‐Based Hydrologic Efficiency Metric for Model Calibration and Evaluation in Gauged and Ungauged Catchments M. Kiraz et al. 10.1029/2023WR035321
- Flow Prediction in Ungauged Catchments Using Probabilistic Random Forests Regionalization and New Statistical Adequacy Tests C. Prieto et al. 10.1029/2018WR023254
- Regionalization of land‐use impacts on streamflow using a network of paired catchments B. Ochoa‐Tocachi et al. 10.1002/2016WR018596
- Regionalization of hydrological modeling for predicting streamflow in ungauged catchments: A comprehensive review Y. Guo et al. 10.1002/wat2.1487
- A Hydrologic Functional Approach for Improving Large‐Sample Hydrology Performance in Poorly Gauged Regions J. Janssen & A. Ameli 10.1029/2021WR030263
- Research on parameter regionalization based on decision tree algorithm: a case study of 16 catchments in northeast China X. Zhao et al. 10.1080/02626667.2024.2436113
- An Exploration of Bayesian Identification of Dominant Hydrological Mechanisms in Ungauged Catchments C. Prieto et al. 10.1029/2021WR030705
- Characterizing Watersheds to Support Land-use Planning in Indonesia: A Case Study of Brantas Tropical Watershed B. Wiwoho et al. 10.1016/j.ecohyd.2023.06.001
- Probabilistic Predictions of Ecologically Relevant Hydrologic Indices Using a Hydrological Model J. Hernandez‐Suarez & A. Nejadhashemi 10.1029/2021WR031104
- Uncertainty in Flow Time-Series Predictions in a Tropical Monsoon-Dominated Catchment in Northern Thailand S. Visessri & N. McIntyre 10.1061/(ASCE)HE.1943-5584.0001407
- Constraining Conceptual Hydrological Models With Multiple Information Sources R. Nijzink et al. 10.1029/2017WR021895
- Modelling river flow in cold and ungauged regions: a review of the purposes, methods, and challenges C. Belvederesi et al. 10.1139/er-2021-0043
- Exploring Signature‐Based Model Calibration for Streamflow Prediction in Ungauged Basins M. Dal Molin et al. 10.1029/2022WR031929
- Understanding hydrologic variability across Europe through catchment classification A. Kuentz et al. 10.5194/hess-21-2863-2017
- A review of hydrologic signatures and their applications H. McMillan 10.1002/wat2.1499
- Assessing the potential value of the regionalised input constraint indices for constraining hydrological model simulations in the Congo River Basin P. Kabuya et al. 10.1016/j.advwatres.2021.104093
- Regional streamflow prediction in northwest Spain: A comparative analysis of regionalisation schemes J. Farfán & L. Cea 10.1016/j.ejrh.2023.101427
- High-resolution hydrometeorological data from a network of headwater catchments in the tropical Andes B. Ochoa-Tocachi et al. 10.1038/sdata.2018.80
- Location, location, location – Considering relative catchment location to understand subsurface losses M. Kiraz-Safari et al. 10.1016/j.jhydrol.2024.132328
3 citations as recorded by crossref.
- Homogeneous region determination using linear and nonlinear techniques J. Swain et al. 10.1080/02723646.2016.1211460
- Fully distributed hydrological modelling for catchment-wide hydrological data verification D. Ocio et al. 10.2166/nh.2019.006
- Investigating Parameters of Geomorphic Direct Runoff Hydrograph Models A. Ghumman et al. 10.1134/S0097807819010068
Saved (preprint)
Latest update: 13 Dec 2024
Short summary
The absence of flow data to calibrate hydrologic models may reduce the ability of such models to reliably inform water resources management. To address this limitation, it is common to condition hydrological model parameters on regionalized signatures. In this study, we justify the inclusion of larger sets of signatures in the regionalization procedure if their error correlations are formally accounted for and thus enable a more complete use of all available information.
The absence of flow data to calibrate hydrologic models may reduce the ability of such models to...
