activity
20192026
most citedInteroperability and computational framework for simulating open channel hydraulics: application to sensitivity analysis and calibration of Gironde Estuary model

17 citations · 30 across the 8 of their papers we have counts for

collaborators

9 papers

stat.ME2026

Computer code validation via mixture model estimation

Negar Soleimani, Pierre Barbillon, Kaniav Kamary +1

When computer codes model complex physical systems, calibration alone is insufficient; one must also assess whether a discrepancy term is needed. In this paper, we study computer c…

physics.ao-ph2026

Bayesian Optimization for reanalysis and calibration of highly energetic sea state events simulated with a spectral third-generation wave model

Cédric Goeury, Thierry Fouquet, Maria Teles +1

Accurate hindcasting of sea state events is a cornerstone of coastal engineering, risk assessment, and climate-related studies, yet it remains limited by uncertainties in physical…

cs.CV2025

Evaluating the effects of preprocessing, method selection, and hyperparameter tuning on SAR-based flood mapping and water depth estimation

Jean-Paul Travert, Cédric Goeury, Sébastien Boyaval +2

Flood mapping and water depth estimation from Synthetic Aperture Radar (SAR) imagery are crucial for calibrating and validating hydraulic models. This study uses SAR imagery to eva…

stat.ME2025

A tree-based Polynomial Chaos expansion for surrogate modeling and sensitivity analysis of complex numerical models

Faten Ben Said, Aurélien Alfonsi, Anne Dutfoy +4

This paper introduces Tree-based Polynomial Chaos Expansion (Tree-PCE), a novel surrogate modeling technique designed to efficiently approximate complex numerical models exhibiting…

physics.geo-ph2024★ 1 cited

Evaluation of Performance Measures for Qualifying Flood Models with Satellite Observations

Jean-Paul Travert, Sébastien Boyaval, Cédric Goeury +2

This work discusses how to choose performance measures to compare numerical simulations of a flood event with one satellite image, e.g., in a model calibration or validation proced…

stat.ML2021

Surrogate-based variational data assimilation for tidal modelling

Rem-Sophia Mouradi, Cédric Goeury, Olivier Thual +2

Data assimilation (DA) is widely used to combine physical knowledge and observations. It is nowadays commonly used in geosciences to perform parametric calibration. In a context of…

cs.CE2020★ 17 cited

Interoperability and computational framework for simulating open channel hydraulics: application to sensitivity analysis and calibration of Gironde Estuary model

Cedric Goeury, Yoann Audouin, Fabrice Zaoui

Water resource management is of crucial societal and economic importance, requiring a strong capacity for anticipating environmental change. Progress in physical process knowledge,…

physics.comp-ph2020★ 11 cited

Physically interpretable machine learning algorithm on multidimensional non-linear fields

Rem-Sophia Mouradi, Cédric Goeury, Olivier Thual +2

In an ever-increasing interest for Machine Learning (ML) and a favorable data development context, we here propose an original methodology for data-based prediction of two-dimensio…

cs.CE2019★ 1 cited

A Metamodel of the Telemac Errors

Fabrice Zaoui, Cédric Goeury, Yoann Audouin

A Telemac study is a computationally intensive application for the real cases and in the context of quantifying or optimizing uncertainties, the running times can be too long. This…