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Siham El Garroussi
Siham El Garroussi
Verified email at ecmwf.int
Title
Cited by
Cited by
Year
Europe faces up to tenfold increase in extreme fires in a warming climate
S El Garroussi, F Di Giuseppe, C Barnard, F Wetterhall
npj Climate and Atmospheric Science 7 (1), 30, 2024
262024
Tackling random fields non-linearities with unsupervised clustering of polynomial chaos expansion in latent space: application to global sensitivity analysis of river flooding
S El Garroussi, S Ricci, M De Lozzo, N Goutal, D Lucor
Stochastic Environmental Research and Risk Assessment 36 (3), 693-718, 2022
202022
Uncertainty quantification in a two-dimensional river hydraulic model
S El Garroussi, M de Lozzo, S Ricci, D Lucor, N Goutal, C Goeury, ...
International Conference on Uncertainty Quantification in Computational …, 2019
42019
Assessing uncertainties in flood forecasts using a mixture of generalized polynomial chaos expansions
S El Garroussi, S Ricci, M De Lozzo, N Goutal, D Lucor
2020 TELEMAC-MASCARET User Conference, 2020
22020
Data-driven selection of optimal afforestation sites in Europe for drought adaptation
F Wetterhall, S El Garroussi
EMS2024, 2024
2024
Tenfold Increase in extreme fires in Europe expected under warming climate
F Wetterhall, F Di Giuseppe, S El Garroussi
EMS2024, 2024
2024
A Tenfold Increase in Extreme Fires expected in Europe under a warming climate
F Wetterhall, S El Garroussi, F Di Giuseppe
EGU24, 2024
2024
Advancing water resource resilience through agroforestry
S El Garroussi, F Wetterhall, C Barnard, F Di Giuseppe, C Mazzetti
EGU24, 2024
2024
Quantifying the Impact of Climate Warming on Extreme Fire Risk in Europe: A Global Sensitivity Analysis Study using Machine Learning and Impact Response Surfaces
S El Garroussi, F Di Giuseppe, F Wetterhall
AGU Fall Meeting Abstracts 2023, NH41A-03, 2023
2023
Tackling uncertainty in flood forecasting model via a machine-learning based-surrogate model
S El Garroussi, S Ricci, M de Lozzo, N Goutal, D Lucor
UNCECOMP2021, 4th International Conference on Uncertainty Quantification in …, 2021
2021
Towards the reduction of uncertainty in hydraulic modles for better flood forecasting
S El Garroussi, S Ricci, M de Lozzo, N Goutal, D Lucor
Simhydro 21, 2021
2021
Mixture of polynomial chaos expansions for uncertainty propagation
S El Garroussi, S Ricci, M De Lozzo, N Goutal, D Lucor
Telemac User Conférence, 2019
2019
Contribution and on-going research on sensitivity analysis and surrogate models at CERFACS with an application in 2D hydrodynamics
S El Garroussi, S Ricci, M de Lozzo, P Roy, I Mirouze, N Goutal, ...
OpenTURNS Journee Utilisateurs, June, 7th 2019, 2019
2019
Mixture of polynomial chaos expansions for un-certainty propagation in two-dimensional hydraulic models for flood forecasting
S El Garroussi, N Goutal, D Lucor
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