AI RESEARCH

LangPrecip: Language-Aware Multimodal Precipitation Nowcasting

arXiv CS.LG

ArXi:2512.22317v2 Announce Type: replace Short-term precipitation nowcasting is an inherently uncertain and under-constrained spatiotemporal forecasting problem, especially for rapidly evolving and extreme weather events. Existing generative approaches rely primarily on visual conditioning, leaving future motion weakly constrained and ambiguous. We propose a language-aware multimodal nowcasting framework(LangPrecip) that treats meteorological text as a semantic motion constraint on precipitation evolution.