Accurate and Efficient Hybrid-Ensemble Atmospheric Data Assimilation in Latent Space with Uncertainty Quantification

arXiv:2603.04395v1 Announce Type: cross Abstract: Data assimilation (DA) combines model forecasts and observations to estimate the optimal state of the atmosphere with its uncertainty, providing initial conditions for weather prediction and reanalyses for climate research. Yet...

🔗 Read more: https://arxiv.org/abs/2603.04395

#News #Climate #Software #Policy #Space #Academic