Articles | Volume 24, issue 11
Research article
23 Nov 2020
Research article |  | 23 Nov 2020

On the potential of variational calibration for a fully distributed hydrological model: application on a Mediterranean catchment

Maxime Jay-Allemand, Pierre Javelle, Igor Gejadze, Patrick Arnaud, Pierre-Olivier Malaterre, Jean-Alain Fine, and Didier Organde

Related authors

Spatially distributed calibration of a hydrological model with variational optimization constrained by physiographic maps for flash flood forecasting in France
Maxime Jay-Allemand, Julie Demargne, Pierre-André Garambois, Pierre Javelle, Igor Gejadze, François Colleoni, Didier Organde, Patrick Arnaud, and Catherine Fouchier
Proc. IAHS, 385, 281–290,,, 2024
Short summary
Technical note: Comparing three different methods for allocating river points to coarse-resolution hydrological modelling grid cells
Juliette Godet, Eric Gaume, Pierre Javelle, Pierre Nicolle, and Olivier Payrastre
Hydrol. Earth Syst. Sci., 28, 1403–1413,,, 2024
Short summary
Closing the data gap: runoff prediction in fully ungauged settings using LSTM
Reyhaneh Hashemi, Pierre Javelle, Olivier Delestre, and Saman Razavi
Hydrol. Earth Syst. Sci. Discuss.,,, 2023
Revised manuscript under review for HESS
Short summary
Assessing the ability of a new seamless short-range ensemble rainfall product to anticipate flash floods in the French Mediterranean area
Juliette Godet, Olivier Payrastre, Pierre Javelle, and François Bouttier
Nat. Hazards Earth Syst. Sci., 23, 3355–3377,,, 2023
Short summary
Changes in Mediterranean flood processes and seasonality
Yves Tramblay, Patrick Arnaud, Guillaume Artigue, Michel Lang, Emmanuel Paquet, Luc Neppel, and Eric Sauquet
Hydrol. Earth Syst. Sci., 27, 2973–2987,,, 2023
Short summary

Related subject area

Subject: Hydrometeorology | Techniques and Approaches: Modelling approaches
Potential for historically unprecedented Australian droughts from natural variability and climate change
Georgina M. Falster, Nicky M. Wright, Nerilie J. Abram, Anna M. Ukkola, and Benjamin J. Henley
Hydrol. Earth Syst. Sci., 28, 1383–1401,,, 2024
Short summary
Flood risk assessment for Indian sub-continental river basins
Urmin Vegad, Yadu Pokhrel, and Vimal Mishra
Hydrol. Earth Syst. Sci., 28, 1107–1126,,, 2024
Short summary
Key ingredients in regional climate modelling for improving the representation of typhoon tracks and intensities
Qi Sun, Patrick Olschewski, Jianhui Wei, Zhan Tian, Laixiang Sun, Harald Kunstmann, and Patrick Laux
Hydrol. Earth Syst. Sci., 28, 761–780,,, 2024
Short summary
Divergent future drought projections in UK river flows and groundwater levels
Simon Parry, Jonathan D. Mackay, Thomas Chitson, Jamie Hannaford, Eugene Magee, Maliko Tanguy, Victoria A. Bell, Katie Facer-Childs, Alison Kay, Rosanna Lane, Robert J. Moore, Stephen Turner, and John Wallbank
Hydrol. Earth Syst. Sci., 28, 417–440,,, 2024
Short summary
Predicting extreme sub-hourly precipitation intensification based on temperature shifts
Francesco Marra, Marika Koukoula, Antonio Canale, and Nadav Peleg
Hydrol. Earth Syst. Sci., 28, 375–389,,, 2024
Short summary

Cited articles

Abbaris, A., Dakhlaoui, H., Thiria, S., and Bargaoui, Z.: Variational data assimilation with the YAO platform for hydrological forecasting, P. Int. Ass. Hydrol. Sci., 364, 3–8,, 2014. a
Abbaspour, K. C., Yang, J., Maximov, I., Siber, R., Bogner, K., Mieleitner, J., Zobrist, J., and Srinivasan, R.: Modelling hydrology and water quality in the pre-alpine/alpine Thur watershed using SWAT, J. Hydrol., 333, 413–430, 2007. a, b
Anderson, R. M., Koren, V. I., and Reed, S. M.: Using SSURGO data to improve Sacramento Model a priori parameter estimates, J. Hydrol., 320, 103–116,, 2006. a
Arnaud, P., Lavabre, J., Fouchier, C., Diss, S., and Javelle, P.: Sensitivity of hydrological models to uncertainty in rainfall input, Hydrolog. Sci. J., 56, 397–410, 2011. a
Artigue, G., Johannet, A., Borrell, V., and Pistre, S.: Flash flood forecasting in poorly gauged basins using neural networks: case study of the Gardon de Mialet basin (southern France), Nat. Hazards Earth Syst. Sci., 12, 3307–3324,, 2012. a
Short summary
This study contributes to flash flood prediction using a hydrological model. The model describes the spatial properties of the watersheds with hundreds of unknown parameters. The Gardon d'Anduze watershed is chosen as the study benchmark. A sophisticated numerical algorithm and the downstream discharge measurements make the identification of the model parameters possible. Results provide better model predictions and relevant spatial variability of some parameters inside this watershed.