Benchmarking Generative Models for Near-Surface Data Assimilation on Real Station Observations

Weather reanalysis products rely on computationally intensive numerical weather predictions followed by data assimilation that corrects the forecast toward observations. Recent advances in deep generative models offer a cheaper alternative that shifts much of this cost from inference to offline trai