Articles | Volume 14, issue 3
https://doi.org/10.5194/hess-14-603-2010
https://doi.org/10.5194/hess-14-603-2010
30 Mar 2010
 | 30 Mar 2010

An experiment on the evolution of an ensemble of neural networks for streamflow forecasting

M.-A. Boucher, J.-P. Laliberté, and F. Anctil

Related subject area

Subject: Catchment hydrology | Techniques and Approaches: Modelling approaches
Technical note: How physically based is hydrograph separation by recursive digital filtering?
Klaus Eckhardt
Hydrol. Earth Syst. Sci., 27, 495–499, https://doi.org/10.5194/hess-27-495-2023,https://doi.org/10.5194/hess-27-495-2023, 2023
Short summary
A comprehensive open-source course for teaching applied hydrological modelling in Central Asia
Beatrice Sabine Marti, Aidar Zhumabaev, and Tobias Siegfried
Hydrol. Earth Syst. Sci., 27, 319–330, https://doi.org/10.5194/hess-27-319-2023,https://doi.org/10.5194/hess-27-319-2023, 2023
Short summary
Impact of distributed meteorological forcing on simulated snow cover and hydrological fluxes over a mid-elevation alpine micro-scale catchment
Aniket Gupta, Alix Reverdy, Jean-Martial Cohard, Basile Hector, Marc Descloitres, Jean-Pierre Vandervaere, Catherine Coulaud, Romain Biron, Lucie Liger, Reed Maxwell, Jean-Gabriel Valay, and Didier Voisin
Hydrol. Earth Syst. Sci., 27, 191–212, https://doi.org/10.5194/hess-27-191-2023,https://doi.org/10.5194/hess-27-191-2023, 2023
Short summary
Technical note: Extending the SWAT model to transport chemicals through tile and groundwater flow
Hendrik Rathjens, Jens Kiesel, Michael Winchell, Jeffrey Arnold, and Robin Sur
Hydrol. Earth Syst. Sci., 27, 159–167, https://doi.org/10.5194/hess-27-159-2023,https://doi.org/10.5194/hess-27-159-2023, 2023
Short summary
Long-term reconstruction of satellite-based precipitation, soil moisture, and snow water equivalent in China
Wencong Yang, Hanbo Yang, Changming Li, Taihua Wang, Ziwei Liu, Qingfang Hu, and Dawen Yang
Hydrol. Earth Syst. Sci., 26, 6427–6441, https://doi.org/10.5194/hess-26-6427-2022,https://doi.org/10.5194/hess-26-6427-2022, 2022
Short summary

Cited articles

Abrahart, R. J. and See, L.: Comparing neural network and autoregressive moving average technique for the prevision of continuous river flow forecasts in two contrasting catchments, Hydrol. Process., 14, 2157–2172, 2000.
Anctil, F., Filion, M., and Tournebize, J.: A neural network experiment on the simulation of daily nitrate-nitrogen and suspended sediment fluxes from a small agricultural catchment, Ecol. Model., 220, 879–887, 2009.
Baringhaus, L. and Franz, C.: On a new multivariate two-sample test, J. Multivariate Anal., 88, 190–206, 2004.
Ajami, N., Duan, Q., and Sorooshian, S.: An integrated hydrologic Bayesian multimodel combination framework: Confronting input, parameter, and model structural uncertainty in hydrologic prediction, Water Resour. Res., 43, W01403, https://doi.org/10.1029/2005WR004745, 2007.
Anctil, F. and Lauzon, N.: Generalisation for neural networks through data sampling and training procedures, with applications to streamflow predictions, Hydrol. Earth Syst. Sci., 8, 940–958, 2004.