Articles | Volume 24, issue 11
https://doi.org/10.5194/hess-24-5149-2020
https://doi.org/10.5194/hess-24-5149-2020
Research article
 | 
06 Nov 2020
Research article |  | 06 Nov 2020

Importance of the informative content in the study area when regionalising rainfall-runoff model parameters: the role of nested catchments and gauging station density

Mattia Neri, Juraj Parajka, and Elena Toth

Related authors

Hyper-resolution flood hazard mapping at the national scale
Günter Blöschl, Andreas Buttinger-Kreuzhuber, Daniel Cornel, Julia Eisl, Michael Hofer, Markus Hollaus, Zsolt Horváth, Jürgen Komma, Artem Konev, Juraj Parajka, Norbert Pfeifer, Andreas Reithofer, José Salinasa, Peter Valent, Roman Výleta, Jürgen Waser, Michael H. Wimmer, and Heinz Stiefelmeyer
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2023-209,https://doi.org/10.5194/nhess-2023-209, 2023
Preprint under review for NHESS
Short summary
Lessons from the 2018–2019 European droughts: a collective need for unifying drought risk management
Veit Blauhut, Michael Stoelzle, Lauri Ahopelto, Manuela I. Brunner, Claudia Teutschbein, Doris E. Wendt, Vytautas Akstinas, Sigrid J. Bakke, Lucy J. Barker, Lenka Bartošová, Agrita Briede, Carmelo Cammalleri, Ksenija Cindrić Kalin, Lucia De Stefano, Miriam Fendeková, David C. Finger, Marijke Huysmans, Mirjana Ivanov, Jaak Jaagus, Jiří Jakubínský, Svitlana Krakovska, Gregor Laaha, Monika Lakatos, Kiril Manevski, Mathias Neumann Andersen, Nina Nikolova, Marzena Osuch, Pieter van Oel, Kalina Radeva, Renata J. Romanowicz, Elena Toth, Mirek Trnka, Marko Urošev, Julia Urquijo Reguera, Eric Sauquet, Aleksandra Stevkov, Lena M. Tallaksen, Iryna Trofimova, Anne F. Van Loon, Michelle T. H. van Vliet, Jean-Philippe Vidal, Niko Wanders, Micha Werner, Patrick Willems, and Nenad Živković
Nat. Hazards Earth Syst. Sci., 22, 2201–2217, https://doi.org/10.5194/nhess-22-2201-2022,https://doi.org/10.5194/nhess-22-2201-2022, 2022
Short summary
The value of satellite soil moisture and snow cover data for the transfer of hydrological model parameters to ungauged sites
Rui Tong, Juraj Parajka, Borbála Széles, Isabella Greimeister-Pfeil, Mariette Vreugdenhil, Jürgen Komma, Peter Valent, and Günter Blöschl
Hydrol. Earth Syst. Sci., 26, 1779–1799, https://doi.org/10.5194/hess-26-1779-2022,https://doi.org/10.5194/hess-26-1779-2022, 2022
Short summary
Characteristics and process controls of statistical flood moments in Europe – a data-based analysis
David Lun, Alberto Viglione, Miriam Bertola, Jürgen Komma, Juraj Parajka, Peter Valent, and Günter Blöschl
Hydrol. Earth Syst. Sci., 25, 5535–5560, https://doi.org/10.5194/hess-25-5535-2021,https://doi.org/10.5194/hess-25-5535-2021, 2021
Short summary
Technical note: Hydrology modelling R packages – a unified analysis of models and practicalities from a user perspective
Paul C. Astagneau, Guillaume Thirel, Olivier Delaigue, Joseph H. A. Guillaume, Juraj Parajka, Claudia C. Brauer, Alberto Viglione, Wouter Buytaert, and Keith J. Beven
Hydrol. Earth Syst. Sci., 25, 3937–3973, https://doi.org/10.5194/hess-25-3937-2021,https://doi.org/10.5194/hess-25-3937-2021, 2021
Short summary

Related subject area

Subject: Catchment hydrology | Techniques and Approaches: Modelling approaches
Technical note: Testing the connection between hillslope-scale runoff fluctuations and streamflow hydrographs at the outlet of large river basins
Ricardo Mantilla, Morgan Fonley, and Nicolás Velásquez
Hydrol. Earth Syst. Sci., 28, 1373–1382, https://doi.org/10.5194/hess-28-1373-2024,https://doi.org/10.5194/hess-28-1373-2024, 2024
Short summary
Empirical stream thermal sensitivity cluster on the landscape according to geology and climate
Lillian M. McGill, E. Ashley Steel, and Aimee H. Fullerton
Hydrol. Earth Syst. Sci., 28, 1351–1371, https://doi.org/10.5194/hess-28-1351-2024,https://doi.org/10.5194/hess-28-1351-2024, 2024
Short summary
Deep learning for monthly rainfall–runoff modelling: a large-sample comparison with conceptual models across Australia
Stephanie R. Clark, Julien Lerat, Jean-Michel Perraud, and Peter Fitch
Hydrol. Earth Syst. Sci., 28, 1191–1213, https://doi.org/10.5194/hess-28-1191-2024,https://doi.org/10.5194/hess-28-1191-2024, 2024
Short summary
On optimization of calibrations of a distributed hydrological model with spatially distributed information on snow
Dipti Tiwari, Mélanie Trudel, and Robert Leconte
Hydrol. Earth Syst. Sci., 28, 1127–1146, https://doi.org/10.5194/hess-28-1127-2024,https://doi.org/10.5194/hess-28-1127-2024, 2024
Short summary
Toward interpretable LSTM-based modeling of hydrological systems
Luis Andres De la Fuente, Mohammad Reza Ehsani, Hoshin Vijai Gupta, and Laura Elizabeth Condon
Hydrol. Earth Syst. Sci., 28, 945–971, https://doi.org/10.5194/hess-28-945-2024,https://doi.org/10.5194/hess-28-945-2024, 2024
Short summary

Cited articles

Bao, Z., Zhang, J., Liu, J., Fu, G., Wang, G., He, R., Yan, R., Jin, J., and Liu, H.: Comparison of regionalization approaches based on regression and similarity for predictions in ungauged catchments under multiple hydro-climatic conditions, J. Hydrol., 466–467, 37–46, https://doi.org/10.1016/j.jhydrol.2012.07.048, 2012. 
Bergström, S.: Development and application of a conceptual runoff model for Scandinavian catchments, Dept. of Water Resour. Engineering, Lund Inst of Technol./Univ. of Lund, Bull. Ser. A, Lund, Sweden, No. 52, 1976. 
Burn, D. H. and Boorman, D. B.: Catchment classification applied to the estimation of hydrological parameters at ungauged catchments, Institute of Hydrology, Wallingford, 143, 429–454, 1992. 
Ceola, S., Arheimer, B., Baratti, E., Blöschl, G., Capell, R., Castellarin, A., Freer, J., Han, D., Hrachowitz, M., Hundecha, Y., Hutton, C., Lindström, G., Montanari, A., Nijzink, R., Parajka, J., Toth, E., Viglione, A., and Wagener, T.: Virtual laboratories: new opportunities for collaborative water science, Hydrol. Earth Syst. Sci., 19, 2101–2117, https://doi.org/10.5194/hess-19-2101-2015, 2015. 
Cislaghi, A., Masseroni, D., Massari, C., Camici, S., and Brocca, L.: Combining a rainfall–runoff model and a regionalization approach for flood and water resource assessment in the western Po Valley, Italy, Hydrolog. Sci. J., 65, 348–370, https://doi.org/10.1080/02626667.2019.1690656, 2020. 
Download
Short summary
One of the most informative ways to gain information on ungauged river sections is through the implementation of a rainfall-runoff model, exploiting the information collected in gauged catchments in the study area. This study analyses how the performances of different model regionalisation approaches are influenced by the informative content of the available regional data set, in order to identify the methods that are more suitable for the data availability in the region.