Bibliography#
Paul C. Astagneau, François Bourgin, Vazken Andréassian, and Charles Perrin. Catchment response to intense rainfall: evaluating modelling hypotheses. Hydrological Processes, 36(8):e14676, 2022. doi:10.1002/hyp.14676.
Léon Bottou. Stochastic Gradient Descent Tricks, pages 421–436. Springer Berlin Heidelberg, 2012. doi:10.1007/978-3-642-35289-8_25.
Ven Te Chow, David R. Maidment, and Larry W. Mays. Applied Hydrology. McGraw-Hill Series in Water Resources and Environmental Engineering, 1998.
A. Douinot, H. Roux, P.-A. Garambois, and D. Dartus. Using a multi-hypothesis framework to improve the understanding of flow dynamics during flash floods. Hydrology and Earth System Sciences, 22(10):5317–5340, 2018. doi:10.5194/hess-22-5317-2018.
Marcos Duarte and Renato Naville Watanabe. Notes on scientific computing for biomechanics and motor control. 2021. doi:10.5281/zenodo.4599319.
John Duchi, Elad Hazan, and Yoram Singer. Adaptive subgradient methods for online learning and stochastic optimization. Journal of machine learning research, 2011. URL: http://jmlr.org/papers/v12/duchi11a.html.
I. Emmanuel, H. Andrieu, E. Leblois, N. Janey, and O. Payrastre. Influence of rainfall spatial variability on rainfall–runoff modelling: benefit of a simulation approach? Journal of Hydrology, 531:337–348, 2015. Hydrologic Applications of Weather Radar. doi:10.1016/j.jhydrol.2015.04.058.
Nathalie Folton and Patrick Arnaud. Indicateurs sur la ressource en eau estimés par une modélisation pluie-débit regionalisée : la base de donnees web loieau. La Houille Blanche, 3:22 – 29, 2020. doi:10.1051/lhb/2020034.
Federico Garavaglia, Matthieu Le Lay, Frèderic Gottardi, Rèmy Garçon, Joèl Gailhard, Emmanuel Paquet, and Thibault Mathevet. Impact of model structure on flow simulation and hydrological realism: from a lumped to a semi-distributed approach. Hydrology & Earth System Sciences, 2017. doi:10.5194/hess-21-3937-2017.
Alex Graves. Generating sequences with recurrent neural networks. arXiv preprint arXiv:1308.0850, 2013. doi:10.48550/arXiv.1308.0850.
Per Christian Hansen and Dianne Prost O’Leary. The use of the l-curve in the regularization of discrete ill-posed problems. SIAM Journal on Scientific Computing, 14(6):1487–1503, 1993. doi:10.1137/0914086.
Laurent Hascoet and Valérie Pascual. The tapenade automatic differentiation tool: principles, model, and specification. ACM Transactions on Mathematical Software (TOMS), 39(3):1–43, 2013. doi:10.1145/2450153.2450158.
Maxime Jay-Allemand, Pierre Javelle, Igor Gejadze, Patrick Arnaud, Pierre-Olivier Malaterre, Jean-Alain Fine, and Didier Organde. On the potential of variational calibration for a fully distributed hydrological model: application on a mediterranean catchment. Hydrology and Earth System Sciences, pages 1–24, 2020. doi:10.5194/hess-24-5519-2020.
James R Kermode. F90wrap: an automated tool for constructing deep python interfaces to modern fortran codes. J. Phys. Condens. Matter, 2020. doi:10.1088/1361-648X/ab82d2.
Diederik P Kingma and Jimmy Ba. Adam: a method for stochastic optimization. arXiv preprint arXiv:1412.6980, 2014. doi:10.48550/arXiv.1412.6980.
Vit Klemeš. Operational testing of hydrological simulation models. Hydrological Sciences Journal, 31(1):13–24, 1986. doi:10.1080/02626668609491024.
N. Le Moine. Le bassin versant de surface vu par le souterrain : une voie d'amélioration des performances et du réalisme des modles pluie-débit ? PhD thesis, Université Pierre et Marie Curie (Paris 6), 2008. Thèse de doctorat dirigée par Andréassian, Vazken Hydrologie Paris 6 2008. URL: http://www.theses.fr/2008PA066468.
Xu Liang, Dennis P. Lettenmaier, Eric F. Wood, and Stephen J. Burges. A simple hydrologically based model of land surface water and energy fluxes for general circulation models. Journal of Geophysical Research: Atmospheres, 99(D7):14415–14428, 1994. doi:10.1029/94JD00483.
V. Lyne and M. Hollick. Stochastic time-variable rainfall-runoff modelling. In Institute of Engineers Australia National Conference, volume 79, 89–93. Institute of Engineers Australia Barton, Australia, 1979.
Claude Michel. Hydrologie appliquée aux petits bassins ruraux. Hydrology handbook (in French), Cemagref, Antony, France, 1989.
Claude Michel, Charles Perrin, and Vazken Andrèassian. The exponential store: a correct formulation for rainfall—runoff modelling. Hydrological Sciences Journal, 48(1):109–124, 2003. doi:10.1623/hysj.48.1.109.43484.
Jerome Monnier. Data Assimilation - Inverse Problems, Assimilation, Control, Learning. INSA Toulouse, 2024. URL: https://www.math.univ-toulouse.fr/~jmonnie/Enseignement/CourseVDA.pdf.
Rory J Nathan and Thomas A McMahon. Evaluation of automated techniques for base flow and recession analyses. Water resources research, 26(7):1465–1473, 1990. doi:10.1029/WR026i007p01465.
J. A. Nelder and R. Mead. A simplex method for function minimization. The Computer Journal, 7(4):308–313, 01 1965. doi:10.1093/comjnl/7.4.308.
Charles Perrin, Claude Michel, and Vazken Andrèassian. Improvement of a parsimonious model for streamflow simulation. Journal of hydrology, 279(1-4):275–289, 2003. doi:10.1016/S0022-1694(03)00225-7.
M. J. D. Powell. An efficient method for finding the minimum of a function of several variables without calculating derivatives. The Computer Journal, 7(2):155–162, 01 1964. doi:10.1093/comjnl/7.2.155.
Raji Pushpalatha, Charles Perrin, Nicolas Le Moine, Thibault Mathevet, and Vazken Andréassian. A downward structural sensitivity analysis of hydrological models to improve low-flow simulation. Journal of Hydrology, 411(1):66–76, 2011. doi:10.1016/j.jhydrol.2011.09.034.
Léonard Santos, Guillaume Thirel, and Charles Perrin. 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). Geoscientific Model Development, 11(4):1591–1605, 2018. doi:10.5194/gmd-11-1591-2018.
E. Todini. The arno rainfall—runoff model. Journal of Hydrology, 175(1):339–382, 1996. doi:10.1016/S0022-1694(96)80016-3.
Pauli Virtanen, Ralf Gommers, Travis E Oliphant, Matt Haberland, Tyler Reddy, David Cournapeau, Evgeni Burovski, Pearu Peterson, Warren Weckesser, Jonathan Bright, and others. Scipy 1.0: fundamental algorithms for scientific computing in python. Nature methods, 17(3):261–272, 2020. doi:10.1038/s41592-019-0686-2.
IK Westerberg and Hilary K McMillan. Uncertainty in hydrological signatures. Hydrology and Earth System Sciences, 19(9):3951–3968, 2015. doi:10.5194/hess-19-3951-2015.
Ciyou Zhu, Richard H. Byrd, Peihuang Lu, and Jorge Nocedal. Algorithm 778: l-bfgs-b: fortran subroutines for large-scale bound-constrained optimization. ACM Trans. Math. Softw., 23(4):550–560, 1997. doi:10.1145/279232.279236.
D. Zoccatelli, M. Borga, A. Viglione, G. B. Chirico, and G. Blöschl. Spatial moments of catchment rainfall: rainfall spatial organisation, basin morphology, and flood response. Hydrology and Earth System Sciences, 15(12):3767–3783, 2011. doi:10.5194/hess-15-3767-2011.