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Found 3 papers, 2 papers with code
Deep-Learning-Based Precipitation Nowcasting with Ground Weather Station Data and Radar Data
Recently, many deep-learning techniques have been applied to various weather-related prediction tasks, including precipitation nowcasting (i. e., predicting precipitation levels and locations in the near future).
AHP: Learning to Negative Sample for Hyperedge Prediction
Since it is prohibitive to use all of them as negative examples for model training, it is inevitable to sample a very small portion of them, and to this end, heuristic sampling schemes have been employed.
Effective Training Strategies for Deep-learning-based Precipitation Nowcasting and Estimation
It is highlighted that our pre-training scheme and new loss function improve the critical success index (CSI) of nowcasting of heavy rainfall (at least 10 mm/hr) by up to 95. 7% and 43. 6%, respectively, at a 5-hr lead time.
