Robust Deep Generative Data Assimilation for Multimodal Earth System Modeling
A deep generative framework, SLAMS, enables robust assimilation of multimodal observations, including in-situ weather station data and ex-situ satellite imagery, to calibrate vertical temperature profiles in Earth system models.
