Articles | Volume 21, issue 11
https://doi.org/10.5194/hess-21-5647-2017
© Author(s) 2017. 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-21-5647-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
15 Nov 2017
Research article |
| 15 Nov 2017
A comparative assessment of rainfall–runoff modelling against regional flow duration curves for ungauged catchments
Daeha Kim
APEC Climate Center, Busan, 48058, South Korea
Il Won Jung
Korea Infrastructure Safety & Technology Corporation, Jinju,
Gyeongsangnam-do, 52852, South Korea
APEC Climate Center, Busan, 48058, South Korea
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Cited
18 citations as recorded by crossref.
- Exploring Signature‐Based Model Calibration for Streamflow Prediction in Ungauged Basins M. Dal Molin et al. https://doi.org/10.1029/2022WR031929
- Does the Complexity of Evapotranspiration and Hydrological Models Enhance Robustness? D. Birhanu et al. https://doi.org/10.3390/su10082837
- An hourly‐scale scenario‐neutral flood risk assessment in a mesoscale catchment under climate change D. Kim et al. https://doi.org/10.1002/hyp.13273
- Application of Artificial Intelligence in Hydrological Modeling for Streamflow Prediction in Ungauged Watersheds: A Review J. Gacu et al. https://doi.org/10.3390/w17182722
- A comparative assessment of a hybrid approach against conventional and machine-learning daily streamflow prediction in ungauged basins S. Lee & D. Kim https://doi.org/10.1016/j.ejrh.2025.102854
- DOĞU KARADENİZ HAVZASINDA MATEMATİKSEL YÖNTEMLERLE DEBİ SÜREKLİLİK EĞRİLERİNİN MODELLENMESİ F. Saka et al. https://doi.org/10.55071/ticaretfbd.1577087
- A sensitivity-based analysis for managing storage capacity of a small agricultural reservoir under drying climate D. Kim et al. https://doi.org/10.1016/j.agwat.2018.10.040
- A Framework to Regionalize Flow Information in a Catchment with Limited Hydrological Data M. Angalika et al. https://doi.org/10.4236/ojmh.2023.131002
- Streamflow prediction in ungauged watershed using regionalization technique: case study of muger watershed, Upper Blue Nile Basin, Ethiopia A. Moshe et al. https://doi.org/10.1007/s42108-025-00352-0
- Flow Duration Curve Estimations Using Precipitation Duration Curves: A Regional Framework for the Western Black Sea Basin, Türkiye M. ACLUNİ & F. SAKA https://doi.org/10.1016/j.pce.2026.104908
- Effectiveness of introducing crop coefficient and leaf area index to enhance evapotranspiration simulations in hydrologic models D. Birhanu et al. https://doi.org/10.1002/hyp.13464
- Incorporating the logistic regression into a decision-centric assessment of climate change impacts on a complex river system D. Kim et al. https://doi.org/10.5194/hess-23-1145-2019
- Hydrologic Model Evaluation and Assessment of Projected Climate Change Impacts Using Bias-Corrected Stream Flows J. Daraio https://doi.org/10.3390/w12082312
- Applicability of the daily hydrological models (GR4J, GR5J, and GR6J) in the South Korean basins J. Park et al. https://doi.org/10.1038/s41598-025-16429-z
- Operational soil moisture modeling using a multi-stage approach based on the generalized complementary principle N. Andini et al. https://doi.org/10.1016/j.agwat.2020.106026
- Estimation of standardized flow Duration curve for gauged and ungauged basins P. Palizban et al. https://doi.org/10.1016/j.jhydrol.2025.132787
- A geostatistical data-assimilation technique for enhancing macro-scale rainfall–runoff simulations A. Pugliese et al. https://doi.org/10.5194/hess-22-4633-2018
- Effects of characteristics of calibration periods on building hydrologic models in the upper basins of South Korea J. Park et al. https://doi.org/10.1016/j.ejrh.2025.102636
18 citations as recorded by crossref.
- Exploring Signature‐Based Model Calibration for Streamflow Prediction in Ungauged Basins M. Dal Molin et al. https://doi.org/10.1029/2022WR031929
- Does the Complexity of Evapotranspiration and Hydrological Models Enhance Robustness? D. Birhanu et al. https://doi.org/10.3390/su10082837
- An hourly‐scale scenario‐neutral flood risk assessment in a mesoscale catchment under climate change D. Kim et al. https://doi.org/10.1002/hyp.13273
- Application of Artificial Intelligence in Hydrological Modeling for Streamflow Prediction in Ungauged Watersheds: A Review J. Gacu et al. https://doi.org/10.3390/w17182722
- A comparative assessment of a hybrid approach against conventional and machine-learning daily streamflow prediction in ungauged basins S. Lee & D. Kim https://doi.org/10.1016/j.ejrh.2025.102854
- DOĞU KARADENİZ HAVZASINDA MATEMATİKSEL YÖNTEMLERLE DEBİ SÜREKLİLİK EĞRİLERİNİN MODELLENMESİ F. Saka et al. https://doi.org/10.55071/ticaretfbd.1577087
- A sensitivity-based analysis for managing storage capacity of a small agricultural reservoir under drying climate D. Kim et al. https://doi.org/10.1016/j.agwat.2018.10.040
- A Framework to Regionalize Flow Information in a Catchment with Limited Hydrological Data M. Angalika et al. https://doi.org/10.4236/ojmh.2023.131002
- Streamflow prediction in ungauged watershed using regionalization technique: case study of muger watershed, Upper Blue Nile Basin, Ethiopia A. Moshe et al. https://doi.org/10.1007/s42108-025-00352-0
- Flow Duration Curve Estimations Using Precipitation Duration Curves: A Regional Framework for the Western Black Sea Basin, Türkiye M. ACLUNİ & F. SAKA https://doi.org/10.1016/j.pce.2026.104908
- Effectiveness of introducing crop coefficient and leaf area index to enhance evapotranspiration simulations in hydrologic models D. Birhanu et al. https://doi.org/10.1002/hyp.13464
- Incorporating the logistic regression into a decision-centric assessment of climate change impacts on a complex river system D. Kim et al. https://doi.org/10.5194/hess-23-1145-2019
- Hydrologic Model Evaluation and Assessment of Projected Climate Change Impacts Using Bias-Corrected Stream Flows J. Daraio https://doi.org/10.3390/w12082312
- Applicability of the daily hydrological models (GR4J, GR5J, and GR6J) in the South Korean basins J. Park et al. https://doi.org/10.1038/s41598-025-16429-z
- Operational soil moisture modeling using a multi-stage approach based on the generalized complementary principle N. Andini et al. https://doi.org/10.1016/j.agwat.2020.106026
- Estimation of standardized flow Duration curve for gauged and ungauged basins P. Palizban et al. https://doi.org/10.1016/j.jhydrol.2025.132787
- A geostatistical data-assimilation technique for enhancing macro-scale rainfall–runoff simulations A. Pugliese et al. https://doi.org/10.5194/hess-22-4633-2018
- Effects of characteristics of calibration periods on building hydrologic models in the upper basins of South Korea J. Park et al. https://doi.org/10.1016/j.ejrh.2025.102636
Saved (final revised paper)
Latest update: 23 Oct 2026
Short summary
We evaluated predictive performance of a rainfall–runoff model whose behavioural parameters were gained against flow magnitudes only. The parameter sets did not well reproduce observed flows when comparing to a conventional method simply using a parameter transferred from nearby gauged catchments. This study emphasises that metrics in time dimensions are essential for identifying model parameters and the absence of flow timing information could worsen model performance.
We evaluated predictive performance of a rainfall–runoff model whose behavioural parameters were...
