Articles | Volume 11, issue 4
https://doi.org/10.5194/gmd-11-1591-2018
https://doi.org/10.5194/gmd-11-1591-2018
Development and technical paper
 | 
19 Apr 2018
Development and technical paper |  | 19 Apr 2018

Continuous state-space representation of a bucket-type rainfall-runoff model: a case study with the GR4 model using state-space GR4 (version 1.0)

Léonard Santos, Guillaume Thirel, and Charles Perrin

Related authors

On the use of streamflow transformations for hydrological model calibration
Guillaume Thirel, Léonard Santos, Olivier Delaigue, and Charles Perrin
Hydrol. Earth Syst. Sci., 28, 4837–4860, https://doi.org/10.5194/hess-28-4837-2024,https://doi.org/10.5194/hess-28-4837-2024, 2024
Short summary
Lack of robustness of hydrological models: A large-sample diagnosis and an attempt to identify the hydrological and climatic drivers
Léonard Santos, Vazken Andréassian, Torben O. Sonnenborg, Göran Lindström, Alban de Lavenne, Charles Perrin, Lila Collet, and Guillaume Thirel
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2024-80,https://doi.org/10.5194/hess-2024-80, 2024
Revised manuscript accepted for HESS
Short summary
Technical note: RAT – a robustness assessment test for calibrated and uncalibrated hydrological models
Pierre Nicolle, Vazken Andréassian, Paul Royer-Gaspard, Charles Perrin, Guillaume Thirel, Laurent Coron, and Léonard Santos
Hydrol. Earth Syst. Sci., 25, 5013–5027, https://doi.org/10.5194/hess-25-5013-2021,https://doi.org/10.5194/hess-25-5013-2021, 2021
Short summary
Technical note: Pitfalls in using log-transformed flows within the KGE criterion
Léonard Santos, Guillaume Thirel, and Charles Perrin
Hydrol. Earth Syst. Sci., 22, 4583–4591, https://doi.org/10.5194/hess-22-4583-2018,https://doi.org/10.5194/hess-22-4583-2018, 2018
Short summary

Related subject area

Hydrology
Generalised drought index: a novel multi-scale daily approach for drought assessment
João António Martins Careto, Rita Margarida Cardoso, Ana Russo, Daniela Catarina André Lima, and Pedro Miguel Matos Soares
Geosci. Model Dev., 17, 8115–8139, https://doi.org/10.5194/gmd-17-8115-2024,https://doi.org/10.5194/gmd-17-8115-2024, 2024
Short summary
Development and performance of a high-resolution surface wave and storm surge forecast model: application to a large lake
Laura L. Swatridge, Ryan P. Mulligan, Leon Boegman, and Shiliang Shan
Geosci. Model Dev., 17, 7751–7766, https://doi.org/10.5194/gmd-17-7751-2024,https://doi.org/10.5194/gmd-17-7751-2024, 2024
Short summary
Deep dive into hydrologic simulations at global scale: harnessing the power of deep learning and physics-informed differentiable models (δHBV-globe1.0-hydroDL)
Dapeng Feng, Hylke Beck, Jens de Bruijn, Reetik Kumar Sahu, Yusuke Satoh, Yoshihide Wada, Jiangtao Liu, Ming Pan, Kathryn Lawson, and Chaopeng Shen
Geosci. Model Dev., 17, 7181–7198, https://doi.org/10.5194/gmd-17-7181-2024,https://doi.org/10.5194/gmd-17-7181-2024, 2024
Short summary
PyEt v1.3.1: a Python package for the estimation of potential evapotranspiration
Matevž Vremec, Raoul A. Collenteur, and Steffen Birk
Geosci. Model Dev., 17, 7083–7103, https://doi.org/10.5194/gmd-17-7083-2024,https://doi.org/10.5194/gmd-17-7083-2024, 2024
Short summary
Prediction of hysteretic matric potential dynamics using artificial intelligence: application of autoencoder neural networks
Nedal Aqel, Lea Reusser, Stephan Margreth, Andrea Carminati, and Peter Lehmann
Geosci. Model Dev., 17, 6949–6966, https://doi.org/10.5194/gmd-17-6949-2024,https://doi.org/10.5194/gmd-17-6949-2024, 2024
Short summary

Cited articles

Andréassian, V., Hall, A., Chahinian, N., and Schaake, J.: Large sample basin experiments for hydrological model parametrization, chap. Introduction and Synthesis: Why should hydrologists work on a large number of basin data sets?, IAHS-AISH P., 307, 1–5, 2006. a
Bergström, S. and Forsman, A.: Development of a conceptual and deterministic rainfall-runoff model, Nord. Hydrol., 4, 147–170, 1973. a
Burnash, R. J. C.: The NWS river forecast system – catchment modeling, chap. 10, in: Computer Model of Watershed Hydrology, Water Resources Publications, Highlands Ranch, Colorado, USA, 311–366, 1995. a, b
Clark, M. P. and Kavetski, D.: Ancient numerical daemons of conceptual hydrological modeling: 1. Fidelity and efficiency of time stepping schemes, Water Resour. Res., 46, W10510, https://doi.org/10.1029/2009wr008894, 2010. a, b, c, d, e, f, g
Coron, L., Andréassian, V., Perrin, C., Lerat, J., Vaze, J., Bourqui, M., and Hendrickx, F.: Crash testing hydrological models in contrasted climate conditions: An experiment on 216 Australian catchments, Water Resour. Res., 48, W05552, https://doi.org/10.1029/2011WR011721, 2012. a
Download
Short summary
Many rainfall–runoff models are based on stores. However, the differential equations that describe the stores' evolution are rarely presented in literature. This represents an issue when the temporal resolution changes. In this work, we propose and evaluate a state-space version of a simple rainfall–runoff model within a robust resolution scheme. The results show that the proposed model performs equally well or slightly better than the original one and is independent of the temporal resolution.