Ronan Fablet
16
Documents
Publications
- 1
- 1
- 1
- 1
- 1
- 16
- 8
- 8
- 7
- 3
- 3
- 3
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
|
|
A posteriori learning for quasi‐geostrophic turbulence parametrizationJournal of Advances in Modeling Earth Systems, 2022, pp.1-35. ⟨10.1029/2022MS003124⟩
Article dans une revue
hal-03808230v1
|
|
|
Physical invariance in neural networks for subgrid-scale scalar flux modelingPhysical Review Fluids, 2021, 6 (2), ⟨10.1103/PhysRevFluids.6.024607⟩
Article dans une revue
hal-03084215v2
|
|
|
Altimetry for the future: Building on 25 years of progressAdvances in Space Research, 2021, 68 (2), pp.319-363. ⟨10.1016/j.asr.2021.01.022⟩
Article dans une revue
insu-03215002v1
|
|
|
SWOT Spatial Scales in the Western Mediterranean Sea Derived from Pseudo-Observations and an Ad Hoc FilteringRemote Sensing, 2018, 10 (4), ⟨10.3390/rs10040599⟩
Article dans une revue
hal-01800494v1
|
|
|
Joint Calibration and Mapping of Satellite Altimetry Data Using Trainable Variational ModelsICASSP 2022: IEEE International Conference on Acoustics, Speech and Signal Processing, IEEE, May 2022, Singapore, Singapore. pp.1536-1540, ⟨10.1109/ICASSP43922.2022.9746889⟩
Communication dans un congrès
hal-03369696v1
|
Joint calibration and mapping of satellite altimetry data using trainable variaitional modelsEGU General Assembly 2022, May 2022, Vienne, Austria. ⟨10.5194/egusphere-egu22-12549⟩
Communication dans un congrès
hal-03713287v1
|
|
|
|
Filtering Internal tides from wide-swath altimeter data using Convolutional Neural Networks.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
|
Learning differential transport operators for the joint super-resolution of sea surface tracers and prediction of subgrid-scale features.IGARSS 2019 : 2019 IEEE International Geoscience and Remote Sensing Symposium, Jul 2019, Yokohama, Japan. ⟨10.1109/IGARSS.2019.8900571⟩
Communication dans un congrès
hal-02285698v1
|
|
|
|
Learning Generalized Quasi-Geostrophic Models Using Deep Neural Numerical ModelsNeurIPS 2019 : 33rd Conference on Neural Information Processing Systems, Dec 2019, Vancouver, Canada
Communication dans un congrès
hal-02366600v1
|
Inferring hidden equations using Quasi-Geostrophic theory guided machine learningEGU 2019 : General Assembly 2019 of the European Geosciences Union, 2019, Vienna, Austria. pp.2019 - 15250
Communication dans un congrès
hal-02285699v1
|
Learning quasi-geostrophic turbulence parametrizations from a posteriori metrics.EGU General Assembly 2022, May 2022, Vienna, Austria
Poster de conférence
hal-04231209v1
|
|
|
|
3DA: Data-Driven Data Assimilation Applications to the Lorenz system and simulated sea surface heightsEGU 2019 : European Geosciences Union, Apr 2019, Vienna, Austria. pp.1
Poster de conférence
hal-02108347v1
|
|
|
Analog forecasting (AnDA) and large-ensemble ocean simulations to improve satellite-derived gridded productsOceanPredict '19 - GODAE OceanView Symposium, May 2019, Halifax, Canada. pp.1
Poster de conférence
hal-02156704v1
|
|
|
A posteriori learning of quasi-geostrophic turbulence parametrization: an experiment on integration steps2022
Pré-publication, Document de travail
hal-03456259v2
|
Filtering Internal Tides From Wide-Swath Altimeter Data Using Convolutional Neural Networks2020
Pré-publication, Document de travail
hal-03084229v1
|
|
Learning Generalized Quasi-Geostrophic Models Using Deep Neural Numerical Models2020
Pré-publication, Document de travail
hal-03084230v1
|