<ul><li>Methods for deep generative data assimilation have been proposed for weather forecast model initialization.</li><li>A diffusion model is trained to generate weather snapshots and incorporate sparse weather station data.</li><li>The generated fields show physically plausible structures and outperform a baseline system.</li><li>Further exploration is needed to combine regional state generators with diverse data streams.</li></ul>

Generative Data Assimilation of Sparse Weather Station Observations at Kilometer Scales

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