JpGU-AGU Joint Meeting 2026

Presentation information

[E] Oral

M (Multidisciplinary and Interdisciplinary) » M-GI General Geosciences, Information Geosciences & Simulations

[M-GI34] Data-driven approaches for weather and hydrological predictions

Mon. May 25, 2026 9:00 AM - 10:30 AM 106 (International Conference Hall, Makuhari Messe)

Chairperson:Sekiyama Thomas(Meteorological Research Institute), Kotsuki Shunji(Center for Environmental Remote Sensing, Chiba University)

10:00 AM - 10:15 AM

[MGI34-05] Enhancing Ensemble Temperature Forecasts with CNN: Analyzing AI-based Post-processing through Forecast Information–Noise Error Decomposition

*Takuya Inoue1, Takuya Kawabata1 (1. Meteorological Research Institute, Japan Meteorological Agency)

Keywords:Deep Learning, Convolutional Neural Network, Ensemble Forecasting, Numerical Weather Prediction, Post-processing, Forecast Information