<ul><li>Nowcasting, the short-term prediction of weather, is essential for making timely and weather-dependent decisions.</li><li>Precipitation nowcasting aims to predict precipitation at a local level within a 6-hour time frame.</li><li>A novel model called SpaT-SparK, which combines self-supervised learning with spatial-temporal learning, has been developed for precipitation nowcasting.</li><li>SpaT-SparK outperforms existing baseline supervised models, providing more accurate nowcasting predictions.</li></ul>

Self-supervised Spatial-Temporal Learner for Precipitation Nowcasting

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