Articles | Volume 24, issue 3
https://doi.org/10.5194/hess-24-1031-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-24-1031-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
04 Mar 2020
Research article |
| 04 Mar 2020
| 04 Mar 2020
Calibration of hydrological models for ecologically relevant streamflow predictions: a trade-off between fitting well to data and estimating consistent parameter sets?
Thibault Hallouin
CORRESPONDING AUTHOR
UCD Dooge Centre for Water Resources Research, School of Civil Engineering, University College Dublin, Dublin, Ireland
now at: National Centre for Atmospheric Science, Reading, UK
now at: Department of Meteorology, University of Reading, Reading, UK
Michael Bruen
UCD Dooge Centre for Water Resources Research, School of Civil Engineering, University College Dublin, Dublin, Ireland
UCD Earth Institute, University College Dublin, Dublin, Ireland
Fiachra E. O'Loughlin
UCD Dooge Centre for Water Resources Research, School of Civil Engineering, University College Dublin, Dublin, Ireland
UCD Earth Institute, University College Dublin, Dublin, Ireland
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29 citations as recorded by crossref.
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- Evaluating the long short-term memory (LSTM) network for discharge prediction under changing climate conditions C. Natel de Moura et al. https://doi.org/10.2166/nh.2022.044
- Climate Change Impacts on Irish River Flows: High Resolution Scenarios and Comparison with CORDEX and CMIP6 Ensembles C. Murphy et al. https://doi.org/10.1007/s11269-023-03458-4
- Evaluating different strategies for machine learning training applied to flow forecasting based on clustering of flood events P. Steffen et al. https://doi.org/10.1590/2318-0331.302520240087
- Multi-model simulation performance of monthly water balance models for global catchments: Thresholds and structural sensitivity Z. Ning et al. https://doi.org/10.1016/j.jhydrol.2025.134852
- Towards an understanding of uncertainties in the Lagrangian analysis of moisture sources for tropical cyclone precipitation through a study case A. Pérez-Alarcón et al. https://doi.org/10.1016/j.atmosres.2024.107822
- Separating climate and deep Earth signals in satellite gravimetry: a global assessment A. Saraswati et al. https://doi.org/10.1093/gji/ggag023
- Propagation and Characteristics of Hydrometeorological Drought Under Changing Climate in Irish Catchments H. Meresa et al. https://doi.org/10.1029/2022JD038025
- Classification of catchments for nitrogen using Artificial Neural Network Pattern Recognition and spatial data C. O'Sullivan et al. https://doi.org/10.1016/j.scitotenv.2021.151139
- Predictability of flow metrics calculated using a distributed hydrologic model across ecoregions and stream classes: Implications for developing flow–ecology relationships M. Eddy et al. https://doi.org/10.1002/eco.2387
- An assessment of climate change impacts on stream phosphorus using a climate model ensemble and Bayesian Belief Networks C. Negri et al. https://doi.org/10.1007/s44288-025-00326-z
- A novel multi-objective model calibration method for ecohydrological applications J. Hernandez-Suarez et al. https://doi.org/10.1016/j.envsoft.2021.105161
- Estimation of flood hydrographs in the ungauged mountainous watershed with Gray synthetic unit hydrograph model E. Bahrami et al. https://doi.org/10.1007/s12517-022-10029-1
- Flow Prediction Using Remotely Sensed Soil Moisture in Irish Catchments C. Yang & F. O’Loughlin https://doi.org/10.3390/w12082202
- Using Deep Learning Algorithms for Intermittent Streamflow Prediction in the Headwaters of the Colorado River, Texas F. Forghanparast & G. Mohammadi https://doi.org/10.3390/w14192972
- Probabilistic Predictions of Ecologically Relevant Hydrologic Indices Using a Hydrological Model J. Hernandez‐Suarez & A. Nejadhashemi https://doi.org/10.1029/2021WR031104
- Simulated Changes in Seasonal and Low Flows with Climate Change for Irish Catchments H. Meresa et al. https://doi.org/10.3390/w14101556
- Hunting for Information in Streamflow Signatures to Improve Modelled Drainage R. Schneider et al. https://doi.org/10.3390/w14010110
- Future Change Projections of Extreme Floods at Catchment Scale and Hydrodynamic Response of Its Downstream Lake Based on Catchment‐Waterbody Relationship Simulation R. Hua et al. https://doi.org/10.1029/2022JD037972
- The future of Upernavik Isstrøm through the ISMIP6 framework: sensitivity analysis and Bayesian calibration of ensemble prediction E. Jager et al. https://doi.org/10.5194/tc-18-5519-2024
- A generalised hydrological model for streamflow prediction using wavelet Ensembling C. Panda et al. https://doi.org/10.1016/j.jhydrol.2025.132883
- Metrics that matter: objective functions and their impact on signature representation in conceptual hydrological models P. Wagener et al. https://doi.org/10.5194/hess-30-4867-2026
- Improved river transmission loss modelling for environmental flow releases during droughts S. Kim et al. https://doi.org/10.1016/j.envsoft.2026.106880
- Far-future hydrology will differentially change the phosphorus transfer continuum P. Mellander et al. https://doi.org/10.1007/s44288-024-00067-5
- What makes a robust calibration period? Insights into the effects of data properties O. Jaffar et al. https://doi.org/10.1080/02626667.2026.2619031
- The impact of calibration strategies on future evapotranspiration projections: a SWAT-T comparison of three hydrological modeling approaches in West Africa F. Merk et al. https://doi.org/10.5194/hess-30-4529-2026
- Disaggregated monthly hydrological models can outperform daily models in providing daily flow statistics and extrapolate well to a drying climate A. John et al. https://doi.org/10.1016/j.jhydrol.2021.126471
29 citations as recorded by crossref.
- Changes in the surface water – Groundwater interactions of the Murray-Darling basin (Australia) over the past half a century R. Crosbie et al. https://doi.org/10.1016/j.jhydrol.2023.129683
- Comparing multi-model mosaic and multi-model combination methods to simulate streamflow across the contiguous USA C. Thébault et al. https://doi.org/10.5194/hess-30-3945-2026
- Improving reservoir inflow prediction via rolling window and deep learning-based multi-model approach: case study from Ermenek Dam, Turkey H. Feizi et al. https://doi.org/10.1007/s00477-022-02185-3
- Evaluating the long short-term memory (LSTM) network for discharge prediction under changing climate conditions C. Natel de Moura et al. https://doi.org/10.2166/nh.2022.044
- Climate Change Impacts on Irish River Flows: High Resolution Scenarios and Comparison with CORDEX and CMIP6 Ensembles C. Murphy et al. https://doi.org/10.1007/s11269-023-03458-4
- Evaluating different strategies for machine learning training applied to flow forecasting based on clustering of flood events P. Steffen et al. https://doi.org/10.1590/2318-0331.302520240087
- Multi-model simulation performance of monthly water balance models for global catchments: Thresholds and structural sensitivity Z. Ning et al. https://doi.org/10.1016/j.jhydrol.2025.134852
- Towards an understanding of uncertainties in the Lagrangian analysis of moisture sources for tropical cyclone precipitation through a study case A. Pérez-Alarcón et al. https://doi.org/10.1016/j.atmosres.2024.107822
- Separating climate and deep Earth signals in satellite gravimetry: a global assessment A. Saraswati et al. https://doi.org/10.1093/gji/ggag023
- Propagation and Characteristics of Hydrometeorological Drought Under Changing Climate in Irish Catchments H. Meresa et al. https://doi.org/10.1029/2022JD038025
- Classification of catchments for nitrogen using Artificial Neural Network Pattern Recognition and spatial data C. O'Sullivan et al. https://doi.org/10.1016/j.scitotenv.2021.151139
- Predictability of flow metrics calculated using a distributed hydrologic model across ecoregions and stream classes: Implications for developing flow–ecology relationships M. Eddy et al. https://doi.org/10.1002/eco.2387
- An assessment of climate change impacts on stream phosphorus using a climate model ensemble and Bayesian Belief Networks C. Negri et al. https://doi.org/10.1007/s44288-025-00326-z
- A novel multi-objective model calibration method for ecohydrological applications J. Hernandez-Suarez et al. https://doi.org/10.1016/j.envsoft.2021.105161
- Estimation of flood hydrographs in the ungauged mountainous watershed with Gray synthetic unit hydrograph model E. Bahrami et al. https://doi.org/10.1007/s12517-022-10029-1
- Flow Prediction Using Remotely Sensed Soil Moisture in Irish Catchments C. Yang & F. O’Loughlin https://doi.org/10.3390/w12082202
- Using Deep Learning Algorithms for Intermittent Streamflow Prediction in the Headwaters of the Colorado River, Texas F. Forghanparast & G. Mohammadi https://doi.org/10.3390/w14192972
- Probabilistic Predictions of Ecologically Relevant Hydrologic Indices Using a Hydrological Model J. Hernandez‐Suarez & A. Nejadhashemi https://doi.org/10.1029/2021WR031104
- Simulated Changes in Seasonal and Low Flows with Climate Change for Irish Catchments H. Meresa et al. https://doi.org/10.3390/w14101556
- Hunting for Information in Streamflow Signatures to Improve Modelled Drainage R. Schneider et al. https://doi.org/10.3390/w14010110
- Future Change Projections of Extreme Floods at Catchment Scale and Hydrodynamic Response of Its Downstream Lake Based on Catchment‐Waterbody Relationship Simulation R. Hua et al. https://doi.org/10.1029/2022JD037972
- The future of Upernavik Isstrøm through the ISMIP6 framework: sensitivity analysis and Bayesian calibration of ensemble prediction E. Jager et al. https://doi.org/10.5194/tc-18-5519-2024
- A generalised hydrological model for streamflow prediction using wavelet Ensembling C. Panda et al. https://doi.org/10.1016/j.jhydrol.2025.132883
- Metrics that matter: objective functions and their impact on signature representation in conceptual hydrological models P. Wagener et al. https://doi.org/10.5194/hess-30-4867-2026
- Improved river transmission loss modelling for environmental flow releases during droughts S. Kim et al. https://doi.org/10.1016/j.envsoft.2026.106880
- Far-future hydrology will differentially change the phosphorus transfer continuum P. Mellander et al. https://doi.org/10.1007/s44288-024-00067-5
- What makes a robust calibration period? Insights into the effects of data properties O. Jaffar et al. https://doi.org/10.1080/02626667.2026.2619031
- The impact of calibration strategies on future evapotranspiration projections: a SWAT-T comparison of three hydrological modeling approaches in West Africa F. Merk et al. https://doi.org/10.5194/hess-30-4529-2026
- Disaggregated monthly hydrological models can outperform daily models in providing daily flow statistics and extrapolate well to a drying climate A. John et al. https://doi.org/10.1016/j.jhydrol.2021.126471
Saved (final revised paper)
Latest update: 15 Sep 2026
Short summary
A hydrological model was used to compare different parameterisation strategies in view of predicting ecologically relevant streamflow indices in 33 Irish catchments. Compared for 14 different periods, a strategy fitting simulated and observed streamflow indices yielded better performance than fitting simulated and observed streamflow, but it also yielded a less consistent ensemble of parameter sets, suggesting that these indices may not be hydrologically relevant for model parameterisation.
A hydrological model was used to compare different parameterisation strategies in view of...
