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

[MGI34-P02] Data-driven forecasting of wind vectors over the Tohoku region by convolutional LSTM trained on AMeDAS observations with regional NWP inputs

*Keigo Sato¹, Yusaku Katsuragi¹, Yasumasa Matsuda¹ (1. Tohoku University)

Keywords:AMeDAS, NWP, probabilistic post-processing, quantile regression, wind vector, convolutional LSTM