AI RESEARCH
A Review of Neural Networks in Precipitation Prediction
arXiv CS.LG
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ArXi:2510.22855v2 Announce Type: replace Precipitation prediction has undergone a profound transformation. A notable limitation of traditional NWP is the need for extensive statistical post-processing. To address this challenge, neural network-based approaches were developed. These approaches offer a framework that directly learns the mapping from atmospheric predictors to precipitation targets.