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Found 3 papers, 1 papers with code
A general error analysis for randomized low-rank approximation with application to data assimilation
However, despite the large variety of algorithms, the existing theoretical frameworks for their analysis rely on a specific structure for the covariance matrix that is not adapted to all the algorithms.
Latent Space Data Assimilation by using Deep Learning
Performing Data Assimilation (DA) at a low cost is of prime concern in Earth system modeling, particularly at the time of big data where huge quantities of observations are available.
Data Assimilation Networks
Data assimilation (DA) aims at forecasting the state of a dynamical system by combining a mathematical representation of the system with noisy observations taking into account their uncertainties.
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