Marc Bocquet
École des Ponts ParisTech
H-index: 50
Europe-France
Top articles of Marc Bocquet
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
A data-driven sea-ice model with generative deep learning | Tobias Sebastian Finn Charlotte Durand Flavia Porro Alban Farchi Marc Bocquet | 2024/3/7 | |
Data-driven surrogate modeling of high-resolution sea-ice thickness in the Arctic | EGUsphere | Charlotte Durand Tobias Sebastian Finn Alban Farchi Marc Bocquet Einar Òlason | 2023/8/23 |
Parameter sensitivity analysis of a sea ice melt pond parametrisation and its emulation using neural networks | Journal of Computational Science | Simon Driscoll Alberto Carrassi Julien Brajard Laurent Bertino Marc Bocquet | 2024/3/16 |
Online model error correction with neural networks: application to the Integrated Forecasting System | Journal of Advances in Modeling Earth Systems | Alban Farchi Marcin Chrust Marc Bocquet Patrick Laloyaux Massimo Bonavita | 2023/9 |
Using an oceanic acoustic noise model to evaluate simulated atmospheric states | Pierre Letournel Constantino Listowski Marc Bocquet Alexis Le Pichon Alban Farchi | 2024/3/7 | |
Bayesian inversion of emissions from large urban fire using in situ observations | Atmospheric Environment | Emilie Launay Virginie Hergault Marc Bocquet Joffrey Dumont Le Brazidec Yelva Roustan | 2024/2/5 |
Multivariate state and parameter estimation using data assimilation in a Maxwell-Elasto-Brittle sea ice model | Yumeng Chen Polly Smith Alberto Carrassi Ivo Pasmans Laurent Bertino | 2024/3/7 | |
Replacing parametrisations of melt ponds on sea ice with machine learning emulators | Simon Driscoll Alberto Carrassi Julien Brajard Laurent Bertino Marc Bocquet | 2024/3/7 | |
Generative diffusion for regional surrogate models from sea-ice simulations | Tobias Sebastian Finn Charlotte Durand Alban Farchi Marc Bocquet Pierre Rampal | 2024/4/23 | |
Bayesian online algorithms for learning data-driven models of chaotic dynamics | Marc Bocquet Alban Farchi Quentin Malartic Tobias Finn Charlotte Durand | 2023 | |
Multivariate state and parameter estimation with data assimilation on sea-ice models using a Maxwell-Elasto-Brittle rheology | EGUsphere | Yumeng Chen Polly Smith Alberto Carrassi Ivo Pasmans Laurent Bertino | 2023/10/16 |
Deep learning for surrogate modelling of neXtSIM | EGU General Assembly Conference Abstracts | Charlotte Durand Tobias Finn Alban Farchi Marc Bocquet Einar Olason | 2023/5 |
Deep reinforcement learning of model error corrections | Tobias Finn Charlotte Durand Alban Farchi Marc Bocquet | 2023 | |
Deep learning applied to CO2 power plant emissions quantification using simulated satellite images | Geoscientific Model Development Discussions | Joffrey Dumont Le Brazidec Pierre Vanderbecken Alban Farchi Grégoire Broquet Gerrit Kuhlmann | 2023/7/26 |
Characterisation of large-scale urban fire emissions by inverse modelling | EGU General Assembly Conference Abstracts | Emilie Launay Virginie Hergault Marc Bocquet Joffrey Dumont Le Brazidec Yelva Roustan | 2023/5 |
A parametric Kalman filter (PKF) tour of data assimilation | Olivier Pannekoucke Richard Ménard Marc Bocquet Ronan Fablet Sophie Ricci | 2023/3/19 | |
Hybrid modelling with deep learning for improved sea-ice forecasting | Tobias Finn Charlotte Durand Alban Farchi Marc Bocquet Yumeng Chen | 2023 | |
Deep learning subgrid-scale parametrisations for short-term forecasting of sea-ice dynamics with a Maxwell elasto-brittle rheology | The Cryosphere | Tobias Sebastian Finn Charlotte Durand Alban Farchi Marc Bocquet Yumeng Chen | 2023/7/21 |
Surrogate modeling for the climate sciences dynamics with machine learning and data assimilation | Frontiers in Applied Mathematics and Statistics | Marc Bocquet | 2023/3/6 |
Accounting for meteorological biases in simulated plumes using smarter metrics | Atmospheric Measurement Techniques | Pierre J Vanderbecken Joffrey Dumont Le Brazidec Alban Farchi Marc Bocquet Yelva Roustan | 2023 |
Co-Authors
