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cs.LG2026
Benchmarking ConvLSTM for One-Day-Ahead IMDAA Rainfall-Field Prediction across Four Indian Cities
Tanmay Ghosh, Shaurabh Anand, Rakesh Gomaji Nannewar +1
Convolutional long short-term memory networks (ConvLSTMs) are widely used for precipitation forecasting, but most evidence for their performance comes from dense, high-frequency ra…
cs.LG2025
Deep Learning for Short-Term Precipitation Prediction in Four Major Indian Cities: A ConvLSTM Approach with Explainable AI
Tanmay Ghosh, Shaurabh Anand, Rakesh Gomaji Nannewar +1
Deep learning models for precipitation forecasting often function as black boxes, limiting their adoption in real-world weather prediction. To enhance transparency while maintainin…