Tackling uncertainty in flood forecasting model via a machine-learning based- surrogate model - Laboratoire Interdisciplinaire des Sciences du Numérique
Conference Papers Year : 2021

Tackling uncertainty in flood forecasting model via a machine-learning based- surrogate model

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Climatology

Virginie RICHARD  : Connect in order to contact the contributor

https://cnrs.hal.science/hal-04739508

Submitted on : Wednesday, October 16, 2024-12:01:38 PM

Last modification on : Thursday, December 19, 2024-4:50:04 PM

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hal-04739508 , version 1 (16-10-2024)

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  • HAL Id : hal-04739508 , version 1

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S. El Garroussi, Sophie Ricci, M. de Lozzo, N. Goutal, D. Lucor. Tackling uncertainty in flood forecasting model via a machine-learning based- surrogate model. UNCECOMP2021, 4th International Conference on Uncertainty Quantification in Computational Sciences and Engineering, Jun 2021, Athene, Greece. ⟨hal-04739508⟩

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