Local climate information is crucial for impact assessment and decision-making.Current statistical downscaling methods infer small-scale phenomena as temporally decoupled spatial patches.A novel generative approach based on a score-based diffusion model is presented.The model generates spatiotemporally coherent weather dynamics aligned with global climate output.