Redouane Lguensat

Identifiants chercheurs

IdHAL :

redouane-lguensat

ORCID :

0000-0003-0226-9057

Présentation

Publications

Article dans une revue (15)

Multidisciplinary science funding is more than ever a planetary priority: Reflections from the Make Our Planet Great Again (MOPGA) program Christina Richards,Barbara Ervens,Camille Parmesan,Pierre Amato,Christhel Andradeet al. PLOS Climate, 2026, 5 (3), pp.e0000849. ⟨10.1371/journal.pclm.0000849⟩ Article dans une revue hal-05548559v1
Future water resources and droughts in the Atlas Mountains of Morocco under a high-emission climate scenario Ouiaam Lahnik,Yves Tramblay,Lahoucine Hanich,Jafet C.M. Andersson,Redouane Lguensatet al. Journal of Hydrology: Regional Studies, 2025, 59, pp.102371. ⟨10.1016/j.ejrh.2025.102371⟩ Article dans une revue hal-05333598v1
Machine learning approach to study microboring assemblage dynamics in two living massive coral genera Diego Alaguarda,Julien Brajard,Redouane Lguensat,Aline Tribollet Limnology and Oceanography: Methods, 2025, 23 (11), pp.862-881. ⟨10.1002/lom3.10714⟩ Article dans une revue hal-05381195v1
Semi‐Automatic Tuning of Coupled Climate Models With Multiple Intrinsic Timescales: Lessons Learned From the Lorenz96 Model Redouane Lguensat,Julie Deshayes,Homer Durand,V. Balaji Journal of Advances in Modeling Earth Systems, 2023, 15 (5), ⟨10.1029/2022ms003367⟩ Article dans une revue hal-04097409v1
Explainable artificial intelligence for Bayesian neural networks: towards trustworthy predictions of ocean dynamics Mariana C. A. Clare,Maike Sonnewald,Redouane Lguensat,Julie Deshayes,V. Balaji Journal of Advances in Modeling Earth Systems, 2022, 4 (11), pp.e2022MS003162. ⟨10.1029/2022MS003162⟩ Article dans une revue hal-03810636v1
A posteriori learning for quasi‐geostrophic turbulence parametrization Hugo Frezat,Julien Le Sommer,Ronan Fablet,Guillaume Balarac,Redouane Lguensat Journal of Advances in Modeling Earth Systems, 2022, pp.1-35. ⟨10.1029/2022MS003124⟩ Article dans une revue hal-03808230v1
An Efficient Algorithm for Ocean-Front Evolution Trend Recognition Yuting Yang,Kin-Man Lam,Xin Sun,Junyu Dong,Redouane Lguensat Remote Sensing, 2022, 14 (2), pp.259. ⟨10.3390/rs14020259⟩ Article dans une revue hal-03542573v1
Bridging observations, theory and numerical simulation of the ocean using machine learning Maike Sonnewald,Redouane Lguensat,Daniel C. Jones,Peter D. Dueben,Julien Brajardet al. Environmental Research Letters, 2021, 16 (7), pp.073008. ⟨10.1088/1748-9326/ac0eb0⟩ Article dans une revue hal-03311328v1
A deep framework for eddy detection and tracking from satellite sea surface height data Xin Sun,Meng Zhang,Junyu Dong,Redouane Lguensat,Yuting Yanget al. IEEE Transactions on Geoscience and Remote Sensing, 2021, 59 (9), pp.7224-7234. ⟨10.1109/TGRS.2020.3032523⟩ Article dans une revue hal-03341554v1
Physical invariance in neural networks for subgrid-scale scalar flux modeling Hugo Frezat,Guillaume Balarac,Julien Le Sommer,Ronan Fablet,Redouane Lguensat Physical Review Fluids, 2021, 6 (2), ⟨10.1103/PhysRevFluids.6.024607⟩ Article dans une revue hal-03084215v2
Data-driven Interpolation of Sea Level Anomalies using Analog Data Assimilation Redouane Lguensat,Phi Huynh Viet,Miao Sun,Ge Chen,Tian Fenglinet al. Remote Sensing, 2019, ⟨10.3390/rs11070858⟩ Article dans une revue hal-01609851v1
Spatio-Temporal Interpolation of Cloudy SST Fields Using Conditional Analog Data Assimilation Ronan Fablet,Phi Viet,Redouane Lguensat,Pierre-Henri Horrein,Bertrand Chapron Remote Sensing, 2018, 10 (2), ⟨10.3390/rs10020310⟩ Article dans une revue hal-01757755v1
Data-driven Models for the Spatio-Temporal Interpolation of satellite-derived SST Fields Ronan Fablet,Phi Huynh Viet,Redouane Lguensat IEEE Transactions on Computational Imaging, 2017, 4, pp.647 - 657. ⟨10.1109/TCI.2017.2749184⟩ Article dans une revue hal-01656178v1
The Analog Data Assimilation Redouane Lguensat,Pierre Tandeo,Pierre Ailliot,Manuel Pulido,Ronan Fablet Monthly Weather Review, 2017, 145 (10), pp.4093 - 4107. ⟨10.1175/MWR-D-16-0441.1⟩ Article dans une revue hal-01609141v1
Ocean Front Detection From Instant Remote Sensing SST Images Yuting Yang,Junyu Dong,Xin Sun,Redouane Lguensat,Muwei Jianet al. IEEE Geoscience and Remote Sensing Letters, 2016, 13 (12), pp.1960 - 1964. ⟨10.1109/LGRS.2016.2618941⟩ Article dans une revue hal-01439570v1

Communication dans un congrès (19)

Filtering Internal tides from wide-swath altimeter data using Convolutional Neural Networks. Redouane Lguensat,Ronan Fablet,Julien Le Sommer,Sammy Metref,Emmanuel Cosmeet al. IGARSS 2020: IEEE International Geoscience and Remote Sensing Symposium, Sep 2020, Waikoloa, United States. ⟨10.1109/IGARSS39084.2020.9323531⟩ Communication dans un congrès hal-02941320v1
The 2020 Climate Informatics Hackathon: Generating Nighttime Satellite Imagery from Infrared Observations William Jones,Redouane Lguensat,Anastase Alexandre Charantonis,Duncan Watson-Parris CI2020: 10th International Conference on Climate Informatics, Sep 2020, virtual United Kingdom, France. pp.134-138, ⟨10.1145/3429309.3429329⟩ Communication dans un congrès hal-03471901v1
Convolutional Neural Networks for Estimating Atmospherically-forced Sea Level Variations Redouane Lguensat,Mickaël Lalande,Sally Close,Thierry Penduff AGU Fall Meeting, Dec 2019, San Francisco, United States Communication dans un congrès hal-03000883v1
Inferring hidden equations using Quasi-Geostrophic theory guided machine learning Redouane Lguensat,Julien Le Sommer,Sammy Metref,Emmanuel Cosme,Ronan Fablet EGU 2019 : General Assembly 2019 of the European Geosciences Union, 2019, Vienna, Austria. pp.2019 - 15250 Communication dans un congrès hal-02285699v1
Attenuating the ocean chaotic variability in altimetric observations: from band-pass filtering to machine learning Thierry Penduff,Mickaël Lalande,Redouane Lguensat,Sally Close,Sabrina Speich Ocean Surface Topography Science Team (OST/ST) Meeting, Oct 2019, Chicago, United States Communication dans un congrès hal-03000854v1
Atténuation de la variabilité chaotique observée par altimétrie. Thierry Penduff,Sally Close,Mickaël Lalande,Redouane Lguensat,Sabrina Speich Journées 2019 du Groupe Mission MERCATOR/CORIOLIS, Jun 2019, Toulon, France Communication dans un congrès hal-03000767v1
Convolutional Neural Networks for Estimating Atmospherically-forced Sea Level Variations Redouane Lguensat,Mickaël Lalande,Sally Close,Thierry Penduff The 1st Artificial Intelligence for Copernicus Workshop, Nov 2019, Reading, United Kingdom Communication dans un congrès hal-03000876v1
Learning Generalized Quasi-Geostrophic Models Using Deep Neural Numerical Models Redouane Lguensat,Julien Le Sommer,Sammy Metref,Emmanuel Cosme,Ronan Fablet NeurIPS 2019 : 33rd Conference on Neural Information Processing Systems, Dec 2019, Vancouver, Canada Communication dans un congrès hal-02366600v1
Data­-driven and learning-­based approaches for the spatio­temporal interpolation of SLA fields from current and future satellite­-derived altimeter data Ronan Fablet,M Lopez-Radcenco,Said Ouala,Redouane Lguensat,L Gómez­navarroet al. "25 Years of Progress in Radar Altimetry" Symposium, 2018, Punta Delgada, Azores, Portugal Communication dans un congrès hal-01800511v1
EddyNet: A Deep Neural Network For Pixel-Wise Classification of Oceanic Eddies Redouane Lguensat,Miao Sun,Ronan Fablet,Evan Mason,Pierre Tandeoet al. International Geoscience and Remote Sensing Symposium (IGARSS 2018), Jul 2018, Valence, Spain. pp.1764-1767, ⟨10.1109/IGARSS.2018.8518411⟩ Communication dans un congrès hal-01929509v1
Analog assimilation for high-dimensional geophysical dynamics Ronan Fablet,Redouane Lguensat,Phi Huynh Viet,Pierre Ailliot,Bertrand Chapronet al. DSE 2017 : Workshop on Data Science and Environment, Jul 2017, Brest, France Communication dans un congrès hal-01586349v1
Spatio-Temporal interpolation of altimeter-derived SSH fields using Analog Data Assimilation: A Case-Study In The South China Sea Redouane Lguensat,Miao Sun,Ge Chen,Fenglin Tian,Ronan Fablet IGARSS 2017 : IEEE International Geoscience and Remote Sensing Symposium, Jul 2017, Fort Worth, United States. ⟨10.1109/IGARSS.2017.8127625⟩ Communication dans un congrès hal-01799854v1
Toward data-driven methods in geophysics: the Analog Data Assimilation Redouane Lguensat,Pierre Tandeo,Pierre Ailliot,Manuel Pulido,Ronan Fablet EGU 2017 : 19th EGU General Assembly, Apr 2017, Vienne, Austria Communication dans un congrès hal-01609890v1
Data-driven assimilation of irregularly-sampled image time series Ronan Fablet,Phi Huynh Viet,Redouane Lguensat,Bertrand Chapron ICIP 2017 : IEEE International Conference on Image Processing, Sep 2017, Beijing, China. ⟨10.1109/ICIP.2017.8297094⟩ Communication dans un congrès hal-01757749v1
Exploiting ocean observation and simulation big data to improve satellite-derived geophysical products: Analog strategies Ronan Fablet,Phi Huynh Viet,Redouane Lguensat,Bertrand Chapron BiDS'17: Big Data from Space Conference , Nov 2017, Toulouse, France Communication dans un congrès hal-01801014v1
An Exemplar-based Hidden Markov Model framework for nonlinear state-space models Redouane Lguensat,Ronan Fablet,Pierre Ailliot,Pierre Tandeo EUSIPCO 2016 : European Signal Processing Conference, Aug 2016, Budapest, Hungary. pp.1 - 5, ⟨10.1109/EUSIPCO.2016.7760667⟩ Communication dans un congrès hal-01444213v1
Non-parametric Ensemble Kalman methods for the inpainting of noisy dynamic textures Redouane Lguensat,Pierre Tandeo,Ronan Fablet,Pierre Ailliot ICIP 2015 : IEEE International Conference on Image Processing, Sep 2015, Québec City, Canada. pp.2488-2492, ⟨10.1109/ICIP.2015.7351615⟩ Communication dans un congrès hal-01271173v1
The analog data assimilation: application to 20 years of altimetric data Pierre Tandeo,Pierre Ailliot,Bertrand Chapron,Redouane Lguensat,Ronan Fablet CI 2015 : 5th International Workshop on Climate Informatics, Sep 2015, Boulder, United States. pp.1 - 2, ⟨10.13140/RG.2.1.4030.5681⟩ Communication dans un congrès hal-01356222v1
Spatio-temporal interpolation of Sea Surface Temperature using high resolution remote sensing data Redouane Lguensat,Pierre Tandeo,Ronan Fablet,René Garello OCEANS 2014 - St John's : MTS/IEEE international conference, Sep 2014, St. John'S, Canada. pp.1 - 4, ⟨10.1109/OCEANS.2014.7002988⟩ Communication dans un congrès hal-01188863v1

Poster de conférence (1)

Using archived datasets for missing data interpolation in ocean remote sensing observation series Redouane Lguensat,Pierre Tandeo,Pierre Ailliot,Ronan Fablet,Bertrand Chapron OCEANS 2016 - Shangai : MTS/IEEE international conference, Apr 2016, Shanghai, China. IEEE/MTS, pp.1 - 6, ⟨10.1109/OCEANSAP.2016.7485433⟩ Poster de conférence hal-01355266v1

Pré-publication, Document de travail (2)

Learning to generate physical ocean states: Towards hybrid climate modeling Étienne Meunier,David Kamm,Guillaume Gachon,Redouane Lguensat,Julie Deshayes 2025 Pré-publication, Document de travail hal-04937213v2
A posteriori learning of quasi-geostrophic turbulence parametrization: an experiment on integration steps Hugo Frezat,Julien Le Sommer,Ronan Fablet,Guillaume Balarac,Redouane Lguensat 2022 Pré-publication, Document de travail hal-03456259v2

Thèse (1)

Learning from ocean remote sensing data Redouane Lguensat Artificial Intelligence [cs.AI]. Ecole nationale supérieure Mines-Télécom Atlantique, 2017. English. ⟨NNT : 2017IMTA0050⟩ Thèse tel-01784196v1