AI RESEARCH
Improvements to the post-processing of weather forecasts using machine learning and feature selection
arXiv CS.LG
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ArXi:2604.19340v1 Announce Type: cross This study aims to develop and improve machine learning-based post-processing models for precipitation, temperature, and wind speed predictions using the Mesoscale Model (MSM) dataset provided by the Japan Meteorological Agency (JMA) for 18 locations across Japan, including plains, mountainous regions, and islands.