Journal Publications

Allabou M., Bouclier R., Garambois P.-A., Monnier J. (2024) Reduction of the Shallow Water System by an Error-Aware POD-Neural Network Method: Application to Floodplain Dynamics. Computer Methods in Applied Mechanics and Engineering. https://doi.org/10.1016/j.cma.2024.117094

Boulenc H., Bouclier R., Garambois P.-A., Monnier J. (2025) Spatially distributed parameter identification by physics-informed neural networks illustrated on the 2D shallow-water equations. Inverse Problems. https://doi.org/10.1088/1361-6420/adb0e7

Charpentier-Noyer, M. and Peredo, D. and Fleury, A. and Marchal, H. and Bouttier, F. and Gaume, E. and Nicolle, P. and Payrastre, O. and Ramos, M.-H. (2024) A methodological framework for the evaluation of short-range flash-flood hydrometeorological forecasts at the event scale. Natural Hazards and Earth System Sciences. https://nhess.copernicus.org/articles/23/2001/2023/

Charpentier-Noyer, M. and Payrastre, O. and Gaume, E. and Nicolle, P. and Bouttier, F. and Fleury, A. and Marchal, H. (2025) An agent-based modeling of rescue operations for the evaluation of short-range flash flood forecasts.  Journal of Hydrology. https://linkinghub.elsevier.com/retrieve/pii/S0022169425003865

Colleoni F., Huynh N. N. T., Garambois P.-A., Jay-Allemand M., Organde D., Renard B., de Fournas T., El Baz A., Demargne J., Javelle P. (2025) SMASH v1.0: A differentiable and regionalizable high-resolution hydrological modeling and data assimilation framework. Geoscientific Model Development.

Garambois P.-A., Colleoni F., Huynh T., Akhtari A., Nguyen B., El Baz A., Jay-Allemand M., Javelle P. (2025) Spatially distributed gradient-based calibration and parametric sensitivity of a spatialized hydrological model over 235 French catchments. Journal of Hydrology: Regional Studies. https://doi.org/10.1016/j.ejrh.2025.102485

Godet, J. and Payrastre, O. and Javelle, P. and Bouttier, F. (2023) Assessing the ability of a new seamless short-range ensemble rainfall product to anticipate flash floods in the French Mediterranean area. https://nhess.copernicus.org/articles/23/3355/2023/

Godet, Juliette and Gaume, Eric and Javelle, Pierre and Nicolle, Pierre and Payrastre, Olivier. (2024) Technical note: Comparing three different methods for allocating river points to coarse-resolution hydrological modelling grid cells. Hydrology and Earth System Sciences. https://hess.copernicus.org/articles/28/1403/2024/

Godet, J. and Payrastre, O. and Ding, Q. and Demargne, J. and Gaume, E. and Nicolle, P. and Belleudy, A. and Javelle, P. (2025) Evaluating the French Flash Flood Warning System Using Hydrological and Impact Data in Southeastern France. Journal of Flood Risk Management. https://onlinelibrary.wiley.com/doi/10.1111/jfr3.70053

Godet, J. and Nicolle, P. and Hocini, N. and Gaume, E. and Davy, P. and Pons, F. and Javelle, P. and Garambois, P.-A. and Lague, D. and Payrastre, O. (2025) Benchmark dataset for hydraulic simulations of flash floods in the French Mediterranean region. Earth System Science Data. https://essd.copernicus.org/articles/17/2963/2025/

Godet, J. and Gaume, E. and Javelle, P. and Dias, T. and Nicolle, P. and Payrastre, O. (2026) Quantifying the added value of impact-based warnings for flash flood monitoring using innovative multi-source impact data. International Journal of Disaster Risk Reduction. https://linkinghub.elsevier.com/retrieve/pii/S2212420926000701

Huynh T., Garambois P.-A., Renard B., Roux H., Demargne J., Javelle P. (2024) Learning regionalization within a differentiable high-resolution hydrological model using accurate spatial cost gradients. Water Resources Research. https://doi.org/10.1029/2024WR037544

Huynh N. N. T., Garambois P.-A., Renard B., Colleoni F., Monnier J., Roux H. (2025) A distributed hybrid physics--AI framework for learning corrections of internal hydrological fluxes and enhancing high-resolution regionalized flood modeling. Hydrology and Earth System Sciences. https://doi.org/10.5194/egusphere-2025-690

Huynh N. N. T., Garambois P.-A., Colleoni F., Monnier J. (2026) A hybrid physics--AI approach using universal differential equations with state-dependent neural networks for learnable, regionalizable, spatially distributed hydrological modeling. Geoscientific Model Development, 19, 1055--1074. https://doi.org/10.5194/gmd-19-1055-2026

Pujol L., Garambois P.-A., Delenne C., Perrin J.-L. (2024) Adjoint-based sensitivity analysis and assimilation of multi-source data for the inference of spatio-temporal parameters in a 2D urban hydraulic model. Journal of Hydrology. https://doi.org/10.1016/j.jhydrol.2024.131885

Pujol L., Cassan L., Garambois P.-A., Roux H. (2025) River bathymetry and discharge estimation using video surface velocity data assimilation in the 2D differentiable shallow water model DassFlow. Environmental Modelling Software. https://doi.org/10.1016/j.envsoft.2025.106589

Pujol L., Chen S., Garambois P.-A. (2025) Gradient-based estimation of spatially distributed parameters of a 2D shallow water rainfall-runoff model. Advances in Water Resources. https://doi.org/10.1016/j.advwatres.2025.104978

Preprint

Berkaoui, M. A., Colleoni, F., Huynh, N. N. T., Akhtari, A., Larnier, K., Garambois, P.-A. A Raster–Vector Framework for Multi-Scale Hydrological–Hydraulic Modeling Across Large Domains. EGUsphere [preprint]. https://doi.org/10.5194/egusphere-2026-1557.

Ettalbi M., Nguyen N. B., Huynh N. N. T., Garambois P.-A. A learnable and differentiable spatialized hydrological model with tensor-based kinematic wave PDE solver. Available at SSRN: https://ssrn.com/abstract=5379188, https://ssrn.com/abstract=5379188

Frederic Pons, Nabil Hocini, Pierre-André Garambois. Cartino2D: Scalable and Automated 2D Shallow Water Rainfall-Flood Inundation Modeling up to Very High Resolution for Large Domains. submitted GMD. https://doi.org/10.5194/egusphere-2025-3333
    
Ngo Nghi Truyen Huynh, Pierre-André Garambois, Mouad Ettalbi, et al. Physics-Constrained Neural Reservoirs: A Powerful Neural Replacement of Conceptual Hydrological Laws for Learning Spatially Distributed Flow Dynamics. ESS Open Archive . February 13, 2026. DOI: 10.22541/essoar.177100580.07190684/v1
    
Pujol L., Garambois P.-A., Larnier K., Monnier J. Basin-Scale Variational Hydrological-Hydraulic Model Calibration for River Discharge Estimation Using SWOT Altimetry. Authorea. January 21, 2026. https://doi.org/10.22541/au.176901862.25424328/v1

Conference proceedings

Arora, A. and Nicolle, P. and Payrastre, O. (2023) Evaluation of Machine Learning Approaches for Flood Hazard Mapping Over the Argens Basin, France. SimHydro 2023.

Charpentier-Noyer, M.; Nicolle, P.; Payrastre, O.; Gaume, E. (2023). Interest of ensemble flash-flood impacts forecasts for an emergency service: an evaluation based on the multi-agent modeling of the October 2018 flood event in the Aude River basin (France). Colloque SHF “Prévision des crues et des inondations - Avancées, valorisation et perspectives”, Toulouse, France.

Huynh T., Colleoni F., Ettalbi M., Nguyen B., Akhtari A., Demargne J.,  Renard B., Jay-Allemand M., Javelle P., Roux H., Garambois P.-A. (2026) Modélisation hydrologique hybride physique–IA spatialement distribuée pour la prévision des crues à l’échelle nationale. Colloque SHF, eau et IA, 2026, Grenoble

Huynh T., Garambois P.-A., Colléoni F., Renard B., Roux H. (2023) Multi-gauge Hydrological Variational Data Assimilation: Regionalization Learning with Spatial Gradients using Multilayer Perceptron and Bayesian-Guided Multivariate Regression. Colloque SHF, prévision des crues-inondations, Toulouse. https://arxiv.org/abs/2307.02497

Garambois P.-A., Monnier J., Villenave L. (2023) Coupled 2D hydrologic-hydraulic catchment scale flood modeling with data assimilation capabilities: the DassHydro platform. Colloque SHF, prévision des crues-inondations, Toulouse. https://hal.inrae.fr/hal-04344714v1

Godet, J.; Javelle, P.; Payrastre, O.; Bouttier, F. (2023). Evaluation d’un nouveau produit de prévision d’ensemble sans couture pour l’anticipation des crues soudaines sur l’arc méditerranéen français. Colloque SHF “Prévision des crues et des inondations – Avancées, valorisation et perspectives”, Toulouse, France.