Articles | Volume 18, issue 2
https://doi.org/10.5194/hess-18-463-2014
https://doi.org/10.5194/hess-18-463-2014
Opinion article
 | 
06 Feb 2014
Opinion article |  | 06 Feb 2014

Large-sample hydrology: a need to balance depth with breadth

H. V. Gupta, C. Perrin, G. Blöschl, A. Montanari, R. Kumar, M. Clark, and V. Andréassian

Related authors

Can discharge be used to inversely correct precipitation?
Ashish Manoj J, Ralf Loritz, Hoshin Gupta, and Erwin Zehe
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2024-375,https://doi.org/10.5194/hess-2024-375, 2024
Revised manuscript under review for HESS
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
Towards Interpretable LSTM-based Modelling of Hydrological Systems
Luis Andres De la Fuente, Mohammad Reza Ehsani, Hoshin Vijai Gupta, and Laura E. Condon
EGUsphere, https://doi.org/10.5194/egusphere-2023-666,https://doi.org/10.5194/egusphere-2023-666, 2023
Preprint archived
Short summary
Deep learning rainfall–runoff predictions of extreme events
Jonathan M. Frame, Frederik Kratzert, Daniel Klotz, Martin Gauch, Guy Shalev, Oren Gilon, Logan M. Qualls, Hoshin V. Gupta, and Grey S. Nearing
Hydrol. Earth Syst. Sci., 26, 3377–3392, https://doi.org/10.5194/hess-26-3377-2022,https://doi.org/10.5194/hess-26-3377-2022, 2022
Short summary
A universal multifractal approach to assessment of spatiotemporal extreme precipitation over the Loess Plateau of China
Jianjun Zhang, Guangyao Gao, Bojie Fu, Cong Wang, Hoshin V. Gupta, Xiaoping Zhang, and Rui Li
Hydrol. Earth Syst. Sci., 24, 809–826, https://doi.org/10.5194/hess-24-809-2020,https://doi.org/10.5194/hess-24-809-2020, 2020
Short summary

Related subject area

Subject: Catchment hydrology | Techniques and Approaches: Modelling approaches
A distributed hybrid physics–AI framework for learning corrections of internal hydrological fluxes and enhancing high-resolution regionalized flood modeling
Ngo Nghi Truyen Huynh, Pierre-André Garambois, Benjamin Renard, François Colleoni, Jérôme Monnier, and Hélène Roux
Hydrol. Earth Syst. Sci., 29, 3589–3613, https://doi.org/10.5194/hess-29-3589-2025,https://doi.org/10.5194/hess-29-3589-2025, 2025
Short summary
Adaptation of root zone storage capacity to climate change and its effects on future streamflow in Alpine catchments: towards non-stationary model parameters
Magali Ponds, Sarah Hanus, Harry Zekollari, Marie-Claire ten Veldhuis, Gerrit Schoups, Roland Kaitna, and Markus Hrachowitz
Hydrol. Earth Syst. Sci., 29, 3545–3568, https://doi.org/10.5194/hess-29-3545-2025,https://doi.org/10.5194/hess-29-3545-2025, 2025
Short summary
Finding process-behavioural parameterisations of a hydrological model using a multi-step process-based calibration and evaluation scheme
Moritz M. Heuer, Hadysa Mohajerani, and Markus C. Casper
Hydrol. Earth Syst. Sci., 29, 3503–3525, https://doi.org/10.5194/hess-29-3503-2025,https://doi.org/10.5194/hess-29-3503-2025, 2025
Short summary
Merits and limits of SWAT-GL: application in contrasting glaciated catchments
Timo Schaffhauser, Florentin Hofmeister, Gabriele Chiogna, Fabian Merk, Ye Tuo, Julian Machnitzke, Lucas Alcamo, Jingshui Huang, and Markus Disse
Hydrol. Earth Syst. Sci., 29, 3227–3256, https://doi.org/10.5194/hess-29-3227-2025,https://doi.org/10.5194/hess-29-3227-2025, 2025
Short summary
Hydrological regime index for non-perennial rivers
Pablo Fernando Dornes and Rocío Noelia Comas
Hydrol. Earth Syst. Sci., 29, 2901–2923, https://doi.org/10.5194/hess-29-2901-2025,https://doi.org/10.5194/hess-29-2901-2025, 2025
Short summary

Cited articles

Abdulla, F. A., and Lettenmaier, D. P.: Development of regional parameter estimation equations for a macroscale hydrologic model, J. Hydrol., 197, 230–257, 1997.
Andréassian, V., Hall, A., Chahinian, N., and Schaake, J.: Introduction and Synthesis: Why should hydrologists work on a large number of basin data sets?, in: IAHS Publication no. 307, Large sample basin experiments for hydrological model parameterization: Results of the Model Parameter Experiment – MOPEX, Paris, 1–5, 2006.
Andréassian, V., Lerat, J., Loumagne, C., Mathevet, T., Michel, C., Oudin, L., and Perrin, C.: What is really undermining hydrologic science today?, Hydrol. Process., 21, 2819–2822, https://doi.org/10.1002/hyp.6854, 2007.
Andréassian, V., Perrin, C., Berthet, L., Le Moine, N., Lerat, J., Loumagne, C., Oudin, L., Mathevet, T., Ramos, M.-H., and Valéry, A.: HESS Opinions "Crash tests for a standardized evaluation of hydrological models", Hydrol. Earth Syst. Sci., 13, 1757–1764, https://doi.org/10.5194/hess-13-1757-2009, 2009.
Andréassian, V., Perrin, C., Parent, E., and Bardossy, A.: Editorial – The Court of Miracles of Hydrology: can failure stories contribute to hydrological science?, Hydrolog. Sci. J., 55, 849–856, https://doi.org/10.1080/02626667.2010.506050, 2010.
Download
Share