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Found 2 papers, 2 papers with code
Neural Koopman prior for data assimilation
With the increasing availability of large scale datasets, computational power and tools like automatic differentiation and expressive neural network architectures, sequential data are now often treated in a data-driven way, with a dynamical model trained from the observation data.
Learning Sentinel-2 reflectance dynamics for data-driven assimilation and forecasting
Over the last few years, massive amounts of satellite multispectral and hyperspectral images covering the Earth's surface have been made publicly available for scientific purpose, for example through the European Copernicus project.
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