AI RESEARCH
LangPrecip: Language-Aware Multimodal Precipitation Nowcasting
arXiv CS.LG
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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.