Nonlinear Latent-Space Data Assimilation for Sea Surface Height Reconstruction from Sparse Observations
Estimating multiscale ocean-surface states from sparse observations is challenging because the state is high-dimensional, sampling is irregular, and posterior distributions can be strongly non-Gaussian. We develop Latent-LWETKF, a structured latent-space implementation of the localized weighted ensemble transform Kalma...