Julien Brajard - researchr alias

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Viewing Publication 1 - 14 from 14

2024

Parameter sensitivity analysis of a sea ice melt pond parametrisation and its emulation using neural networksSimon Driscoll, Alberto Carrassi, Julien Brajard, Laurent Bertino, Marc Bocquet, Einar Örn Ólason. jocs, 79:102231, 2024. [doi]

2023

Adaptation of a Neuro-Variational Algorithm from SeaWiFS to MODIS-Aqua Sensor for the Determination of Atmospheric and Oceanic VariablesKhassoum Correa, Eric Machu, Julien Brajard, Daouda Diouf, Saidou Moustapha Sall, Hervé Demarcq. remotesensing, 15(14):3613, July 2023. [doi]

Learning 4DVAR Inversion Directly from ObservationsArthur Filoche, Julien Brajard, Anastase Alexandre Charantonis, Dominique Béréziat. iccs 2023: 414-421 [doi]

Machine Learning-Based Improvement of Aerosol Optical Depth from CHIMERE Simulations Using MODIS Satellite ObservationsFarouk Lemmouchi, Juan Cuesta, Mathieu Lachatre, Julien Brajard, Adriana Coman, Matthias Beekmann, Claude Derognat. remotesensing, 15(6):1510, March 2023. [doi]

2021

Fusion of Rain Radar Images and Wind Forecasts in a Deep Learning Model Applied to Rain NowcastingVincent Bouget, Dominique Béréziat, Julien Brajard, Anastase Alexandre Charantonis, Arthur Filoche. remotesensing, 13(2):246, 2021. [doi]

2020

Classification of Sea Ice Types in Sentinel-1 SAR Data Using Convolutional Neural NetworksHugo Boulze, Anton Korosov, Julien Brajard. remotesensing, 12(13):2165, 2020. [doi]

Combining data assimilation and machine learning to emulate a dynamical model from sparse and noisy observations: A case study with the Lorenz 96 modelJulien Brajard, Alberto Carrassi, Marc Bocquet, Laurent Bertino. jocs, 44:101171, 2020. [doi]

2018

Improving CADNA Performance on GPUsPacôme Eberhart, Baptiste Landreau, Julien Brajard, Pierre Fortin, Fabienne Jézéquel. ipps 2018: 1016-1025 [doi]

2016

Estimation of Round-off Errors in OpenMP CodesPacôme Eberhart, Julien Brajard, Pierre Fortin, Fabienne Jézéquel. iwomp 2016: 3-16 [doi]

2011

Retrieving Aerosol Characteristics from Satellite Ocean Color Multi-spectral Sensors using a Neural-variational MethodD. Diouf, Sylvie Thiria, Awa Niang, Julien Brajard, Michel Crépon. ijcci 2011: 297-303

2009

Analysis of the Senegalo-Mauritanian upwelling by processing satellite remote sensing observations with topological mapsSalam Sawadogo, Julien Brajard, Awa Niang, Cyril Lathuiliere, Michel Creéon, Sylvie Thiria. ijcnn 2009: 2826-2832 [doi]

2008

Validation of model simulations with respect to in situ observations by the use of probabilistic estimationsJulien Brajard, Fouad Badran, Michel Crépon, Sylvie Thiria. ijcnn 2008: 3015-3019 [doi]

2006

Use of a neuro-variational inversion for retrieving oceanic and atmospheric constituents from satellite ocean colour sensor: Application to absorbing aerosolsJulien Brajard, Cédric Jamet, Cyril Moulin, Sylvie Thiria. NN, 19(2):178-185, 2006. [doi]

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