2026Publication scientifique

Basin-Scale Variational Hydrological–Hydraulic Model Calibration for River Discharge Estimation Using SWOT Altimetry

submitted to WRR on 13/01/2026

hydraulicshydrologyDassFlow 1DSMASHvariational data assimilationswotaltimetrydischargedouble regionalization

Pujol., L., Garambois., P.-A., Larnier, K., Monnier, J.(submitted) Basin-Scale Variational Hydrological–Hydraulic Model Calibration for River Discharge Estimation Using SWOT Altimetry

Illustration scientifique : Basin-Scale Variational Hydrological–Hydraulic Model Calibration for River Discharge Estimation Using SWOT Altimetry
2025Publication scientifique

smash v1.0: a differentiable and regionalizable high-resolution hydrological modeling and data assimilation framework

doi.org/10.5194/gmd-18-7003-2025

hydrologySMASHdifferentiableregionalizablevaraitional data assimilation

François Colleoni, Ngo Nghi Truyen Huynh, Pierre-André Garambois, Maxime Jay-Allemand, Didier Organde, Benjamin Renard, Thomas De Fournas, Apolline El Baz, Julie Demargne, and Pierre Javelle. (2025) SMASH v1.0: A Differentiable and Regionalizable High-Resolution Hydrological Modeling and Data Assimilation Framework. Geosc. Model Dev. https://doi. org/10.5194/egusphere-2025-690

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Illustration scientifique : smash v1.0: a differentiable and regionalizable high-resolution hydrological modeling and data assimilation framework
2025Publication scientifique

A distributed hybrid physics–AI framework for learning corrections of internal hydrological fluxes and enhancing high-resolution regionalized flood modeling

hydrologySMASHphysics AIlearnable

Huynh, N. N. T., Garambois, P.-A., Renard, B., Colleoni, F., Monnier, J., and Roux, H.: A distributed hybrid physics–AI framework for learning corrections of internal hydrological fluxes and enhancing high-resolution regionalized flood modeling, Hydrol. Earth Syst. Sci., 29, 3589–3613, https://doi.org/10.5194/hess-29-3589-2025, 2025

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Illustration scientifique : A distributed hybrid physics–AI framework for learning corrections of internal hydrological fluxes and enhancing high-resolution regionalized flood modeling
2025Publication scientifique

Assessing SWOT’s Hydraulic Visibility on the Rhine: Precision Flow Lines and Slope-Based Flood Wave Propagation Signatures

SWOThydraulic visibilityvalidationRhine

Ledauphin T., Garambois P.-A., Larnier K., Azzoni M., Emery C., Picot N., Amzil S., Fjortoft R., Maxant J., Yesou H. (2025) Assessing SWOT’s Hydraulic Visibility on the Rhine: Precision Flow Lines and Slope-Based Flood Wave Propagation Signatures. Earth and Space Science Data https://doi.org/10.1029/2025EA004309

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Illustration scientifique : Assessing SWOT’s Hydraulic Visibility on the Rhine: Precision Flow Lines and Slope-Based Flood Wave Propagation Signatures
2024Publication scientifique

Learning Regionalization within a Differentiable High-Resolution Hydrological Model using Accurate Spatial Cost Gradients

hydrologySMASHungauged basinsregionalizationphysics-AIlearning

Huynh, T., Garambois P.-A, Colleoni F., Renard, B., Roux, H., Demargne J., Jay-Allemand M., Javelle P. (2024) Learning Regionalization within a Differentiable High-Resolution Hydrological Model using Accurate Spatial Cost Gradients. Water Ressources Research. https://doi.org/10.1029/2024WR037544

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Illustration scientifique : Learning Regionalization within a Differentiable High-Resolution Hydrological Model using Accurate Spatial Cost Gradients
2024Publication scientifique

Multi‐Satellite Data Assimilation for Large‐Scale Hydrological‐Hydrodynamic Prediction: Proof of Concept in the Amazon Basin

https://doi.org/10.1029/2024WR037155

AssimilationMGBEO datasetshydrodynamic

Correa, S. W., Paiva, R. C. D. D., Siqueira, V. A., Papa, F., Fleischmann, A. S., Biancamaria, S., … & Al Bitar, A. (2024). Multi‐Satellite Data Assimilation for Large‐Scale Hydrological‐Hydrodynamic Prediction: Proof of Concept in the Amazon Basin. Water resources research. Vol. 60, no. 8 (Aug. 2024),[Article] e2024WR037155, p. 1-34.

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Illustration scientifique : Multi‐Satellite Data Assimilation for Large‐Scale Hydrological‐Hydrodynamic Prediction: Proof of Concept in the Amazon Basin
2024Publication scientifique

Strengthening of the hydrological cycle in the Lake Chad Basin under current climate change

https://doi.org/10.1038/s41598-024-75707-4

Chad lakeclimate change

Sylvestre, F., Mahamat-Nour, A., Naradoum, T., Alcoba, M., Gal, L., Paris, A., … & Gaya, D. (2024). Strengthening of the hydrological cycle in the Lake Chad Basin under current climate change. Scientific Reports, 14(1), 24639.

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2024Publication scientifique

Estimating channel parameters and discharge at river network scale using hydrological-hydraulic models, SWOT and multi-satellite data

doi:10.1029/2024WR038455

HydrologyHydraulicscouplingMaroniData AssimilationData FusionAltimetrySWOT

Larnier, K., Garambois, P.-A., Emery, C., Pujol, L., Monnier, J., Gal, L., et al. (2025). Estimating channel parameters and discharge at river network scale using hydrological-hydraulic models, SWOT and multi-satellite data. Water Resources Research, 61, e2024WR038455. https://doi.org/10.1029/2024WR038455

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2023Publication scientifique

Gaussian Anamorphosis for Ensemble Kalman Filter Analysis of SAR-Derived Wet Surface Ratio Observations

doi:10.1109/TGRS.2023.3338296

Nguyen, T-H., Ricci, S., Piacentini, A., Simon, E., Rodriguez Suquet, R. and Pena Luque, S. (2023) Gaussian Anamorphosis for Ensemble Kalman Filter Analysis of SAR-Derived Wet Surface Ratio Observations, IEEE Transactions on Geoscience and Remote Sensing, 62 (1-21), doi:10.1109/TGRS.2023.3338296

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Illustration scientifique : Gaussian Anamorphosis for Ensemble Kalman Filter Analysis of SAR-Derived Wet Surface Ratio Observations
2022Publication scientifique

Multi-dimensional hydrological–hydraulic model with variational data assimilation for river networks and floodplains

doi.org/10.5194/gmd-15-6085-2022

hydraulicsDassFlow 2DGR4Hhydrologymulti-dimensional modelvariational data assimilation

Pujol, L., Garambois, P. A., & Monnier, J. (2022). Multi-dimensional hydrological–hydraulic model with variational data assimilation for river networks and floodplains. Geoscientific Model Development, 15(15), 6085-6113.

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Illustration scientifique : Multi-dimensional hydrological–hydraulic model with variational data assimilation for river networks and floodplains
2022Publication scientifique

ExtractEO, a Pipeline for Disaster Extent Mapping in the Context of Emergency Management

https://doi.org/10.3390/rs14205253

Maxant, J.; Braun, R.; Caspard, M.; Clandillon, S. ExtractEO, a Pipeline for Disaster Extent Mapping in the Context of Emergency Management. Remote Sens. 2022, 14, 5253. https://doi.org/10.3390/rs14205253

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2022Publication scientifique

Improvement of Flood Extent Representation with Remote Sensing Data and Data Assimilation

doi:10.1109/TGRS.2022.3147429

FloodextentHydrodynamicsGaronneTelemacData AssimilationSentinel1

Nguyen, T-H., Ricci, S., Fatras, C., Piacentini, A., Delmotte, A., Lavergne, E. and Kettig, P. (2022) Improvement of Flood Extent Representation with Remote Sensing Data and Data Assimilation, IEEE Transactions on Geoscience and Remote Sensing, 60 (4206022), pp. 1-22, doi:10.1109/TGRS.2022.3147429

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Illustration scientifique : Improvement of Flood Extent Representation with Remote Sensing Data and Data Assimilation
2022Publication scientifique

Dual State-Parameter Assimilation of SAR-Derived Wet Surface Ratio for Improving Fluvial Flood Reanalysis

doi:10.1029/2022WR033155

FloodextentHydrodynamicsGaronneTelemacData AssimilationSentinel1

N- Nguyen, T-H., Ricci, S., Piacentini, A., Fatras, C., Kettig, P., Blanchet, G., Peña-Luque, S. and Baillarin, S. (2022) Dual State-Parameter Assimilation of SAR-Derived Wet Surface Ratio for Improving Fluvial Flood Reanalysis, Water Resources Research, 58 (11), pp. e2022WR033155, doi:10.1029/2022WR033155

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Illustration scientifique : Dual State-Parameter Assimilation of SAR-Derived Wet Surface Ratio for Improving Fluvial Flood Reanalysis
2021Publication scientifique

Generation and analysis of stage-fall-discharge laws from coupled hydrological-hydraulic river network model integrating sparse multi-satellite data

hydraulicsDassFlow 1Dvariational data assimilationsatellite altimetrydischargemodel derived rating curves

Malou T., P.-A. Garambois, A. Paris, J. Monnier, K. Larnier. (2021) Generation and analysis of stage-fall-discharge laws from coupled hydrological-hydraulic river network model integrating sparse multi-satellite data. Journal of Hydrology, https://doi.org/10.1016/j.jhydrol.2021.126993

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Illustration scientifique : Generation and analysis of stage-fall-discharge laws from coupled hydrological-hydraulic river network model integrating sparse multi-satellite data
2020Publication scientifique

River discharge and bathymetry estimation from SWOT altimetry measurements

hydraulicsDassFlow 1Dvariational data assimilationdischarge algorithmswot

Larnier, K., Monnier, J., Garambois, P.-A., Verley, J. (2020) « River discharge and bathymetry estimation from SWOT altimetry measurements ». Inverse Problems in Science and Engineering (IPSE). https://doi.org/10.1080/17415977.2020.1803858

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Illustration scientifique : River discharge and bathymetry estimation from SWOT altimetry measurements
2020Publication scientifique

Estimation of multiple inflows and effective channel by assimilation of multi-satellite hydraulic signatures: The ungauged anabranching Negro river

doi.org/10.1016/j.jhydrol.2020.125331

hydraulicsDassFlow 1DMGBvariational data assimilationswotidentifiability maps

Pujol, L., Garambois, P. A., Finaud-Guyot, P., Monnier, J., Larnier, K., Mose, R., … & Calmant, S. (2020). Estimation of multiple inflows and effective channel by assimilation of multi-satellite hydraulic signatures: The ungauged anabranching Negro river. Journal of Hydrology, 591, 125331.

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Illustration scientifique : Estimation of multiple inflows and effective channel by assimilation of multi-satellite hydraulic signatures: The ungauged anabranching Negro river
2019Publication scientifique

Variational estimation of effective channel and ungauged anabranching river discharge from multi-satellite water heights of different spatial sparsity

hydraulicsDassFlow 1Dvariational data assimilationdischarge algorithmswotnadir altimetryimagery

Garambois, P.-A., Larnier, K., Monnier, J., Finaud-Guyot, P., Verley, J., Montazem, A. S., Calmant, S. (2020). « Variational estimation of effective channel and ungauged anabranching river discharge from multi-satellite water heights of different spatial sparsity ». Journal of Hydrology, https://doi.org/10.1016/j.jhydrol.2019.124409

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Illustration scientifique : Variational estimation of effective channel and ungauged anabranching river discharge from multi-satellite water heights of different spatial sparsity
2018Publication scientifique

On the Assimilation of Altimetric Data in 1D Saint-Venant River Flow Models

hydraulicsDassFlow 1Dvariational data assimilationswotfrequenciesidentifiability maps

Brisset, P., Monnier, J., Garambois, P.-A., Roux, H. (2018). « On the Assimilation of Altimetric Data in 1D Saint-Venant River Flow Models ». Advances in Water Ressources. https://doi.org/10.1016/j.advwatres.2018.06.004

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Illustration scientifique : On the Assimilation of Altimetric Data in 1D Saint-Venant River Flow Models
2018Publication scientifique

Modelling hydrologic and hydrodynamic processes in basins with large semi-arid wetlands

modellingMGBhydrologyhydrodynamic

Fleischmann, A., Siqueira, V., Paris, A., Collischonn, W., Paiva, R., Pontes, P., … & Tanimoun, B. (2018). Modelling hydrologic and hydrodynamic processes in basins with large semi-arid wetlands. Journal of Hydrology, 561, 943-959.

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2016Publication scientifique

Inverse algorithms for 2D shallow water equations in presence of wet dry fronts: Application to flood plain dynamics

Hydraulicsfinite volumesDassFlow 2Dvariational data assimilationfloodingparameters inferrence

Monnier, J., Couderc, F., Dartus, D., Larnier, K., Madec, R., and Vila, J.-P.: Inverse algorithms for 2D shallow water equations in presence of wet dry fronts: Application to flood plain dynamics, Adv. Water Resour., 97, 11–24,https://doi.org/10.1016/j.advwatres.2016.07.005, 2016.

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Illustration scientifique : Inverse algorithms for 2D shallow water equations in presence of wet dry fronts: Application to flood plain dynamics
2016Publication scientifique

Stage-discharge rating curves based on satellite altimetry and modeled discharge in the Amazon basin

doi:10.1002/2014WR016618

HydrologyMGBaltimetrydischargerating curves

Paris, A., Dias de Paiva, R., Santos da Silva, J., Medeiros Moreira, D., Calmant, S., Garambois, P.-A., Seyler, F . (2016). Stage-discharge rating curves based on satellite altimetry and modeled discharge in the amazon basin. Water Resources Research, 52 (5), 3787-3814. https://doi.org/10.1002/2014WR016618

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Illustration scientifique : Stage-discharge rating curves based on satellite altimetry and modeled discharge in the Amazon basin
2022Publication scientifique

Monitoring Hydrological Variables from Remote Sensing and Modeling in the Congo River Basin

https://doi.org/10.1002/9781119657002.ch18

modellingmgbhydrologyEO datasetsaltimetry

Paris, A., Calmant, S., Gosset, M., Fleischmann, A. S., Conchy, T. S. X., Garambois, P. A., … & Laraque, A. (2022). Monitoring hydrological variables from remote sensing and modeling in the Congo River Basin. Congo basin hydrology, climate, and biogeochemistry: a foundation for the future, 339-366.

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Illustration scientifique : Monitoring Hydrological Variables from Remote Sensing and Modeling in the Congo River Basin