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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30 citations as recorded by crossref.
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- 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
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- 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
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- 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
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Saved (final revised paper)
Latest update: 21 Oct 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...
