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Open access Oct 2026

Spatiotemporal coherent displacements for ensemble-based neural data assimilation

Abstract While deep learning (DL) methods have expanded the approach to solving state estimation problems in data assimilation (DA), a robust approach requires extending them for uncertainty quantification. In this work, we propose a method to represent location-based uncertainty through random, spatiotemporally cohere...

S. Roy, R. Fablet · 0 citations

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