Developing an interpretable foundation AI model capable of generating and analyzing cloud structures and their behavior in novel aerosol-cloud interactions and climate feedback scenarios. Leveraging recent breakthroughs in conditional generative AI, such as those used for biological structure prediction and video generation, the model will integrate multi-modal, high-resolution satellite data. The resulting model will generate and reconstruct cloud structures under varying environmental conditions, significantly reducing uncertainties in climate prediction and facilitating the detection and quantification of cloud feedbacks across the satellite record.