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04/27/2023
Comparison of Stochastic Parametrization Schemes using Data Assimilation on Triad Models
In recent years, stochastic parametrizations have been ubiquitous in mod...
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11/23/2022
Inversion of sea surface currents from satellite-derived SST-SSH synergies with 4DVarNets
Satellite altimetry is a unique way for direct observations of sea surfa...
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09/29/2022
Guided Unsupervised Learning by Subaperture Decomposition for Ocean SAR Image Retrieval
Spaceborne synthetic aperture radar (SAR) can provide accurate images of...
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04/09/2022
Guided deep learning by subaperture decomposition: ocean patterns from SAR imagery
Spaceborne synthetic aperture radar can provide meters scale images of t...
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03/20/2022
Multimodal learning-based inversion models for the space-time reconstruction of satellite-derived geophysical fields
For numerous earth observation applications, one may benefit from variou...
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02/11/2022
Bounded nonlinear forecasts of partially observed geophysical systems with physics-constrained deep learning
The complexity of real-world geophysical systems is often compounded by ...
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10/17/2021
Exploitation of error correlation in a large analysis validation: GlobCurrent case study
An assessment of variance in ocean current signal and noise shared by in...
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05/11/2021
Learning Runge-Kutta Integration Schemes for ODE Simulation and Identification
Deriving analytical solutions of ordinary differential equations is usua...
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07/25/2020
Learning Variational Data Assimilation Models and Solvers
This paper addresses variational data assimilation from a learning point...
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07/04/2019
