Daria Botvynko
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View article: Neural ocean forecasting from sparse satellite-derived observations: a case-study for SSH dynamics and altimetry data
Neural ocean forecasting from sparse satellite-derived observations: a case-study for SSH dynamics and altimetry data Open
We present an end-to-end deep learning framework for short-term forecasting of global sea surface dynamics based on sparse satellite altimetry data. Building on two state-of-the-art architectures: U-Net and 4DVarNet, originally developed f…
View article: Neural Prediction of Lagrangian Drift Trajectories on the Sea Surface
Neural Prediction of Lagrangian Drift Trajectories on the Sea Surface Open
This study proposes a new deep learning approach for the simulation of Lagrangian drift at the sea surface with the objective to overcome the current limitations of the existing model-based and learning-based methods. The proposed framewor…
View article: OceanBench - Short-Term Global Ocean Forecasting
OceanBench - Short-Term Global Ocean Forecasting Open
The increasing adoption of AI-based approaches in Earth system sciences has led to breakthroughs in modeling and forecasting, exemplified by state-of-the-art performance of neural weather forecasting systems [Bi et al., 2023, Lam et al., 2…
View article: Deep Learning for Lagrangian Drift Simulation at The Sea Surface
Deep Learning for Lagrangian Drift Simulation at The Sea Surface Open
We address Lagrangian drift simulation in geophysical dynamics and explore deep learning approaches to overcome known limitations of state-of-the-art model-based and Markovian approaches in terms of computational complexity and error propa…
View article: Deep learning for Lagrangian drift simulation at the sea surface
Deep learning for Lagrangian drift simulation at the sea surface Open
We address Lagrangian drift simulation in geophysical dynamics and explore deep learning approaches to overcome known limitations of state-of-the-art model-based and Markovian approaches in terms of computational complexity and error propa…