Sub-Seasonal Precipitation Bias-Correction in Thailand Using Attention U-Net With Seasonal and Meteorological Effects
Tanatorn Faijaroenmongkol,
Kanoksri Sarinnapakorn,
Peerapon Vateekul
Abstract:There have been many attempts to forecast sub-seasonal to seasonal (S2S) precipitation. One of them is the Climate Forecast System version 2 (CFSv2) model; however, a bias correction must be applied before CFSv2 data can be used in each local region. In this research, we aim to address the S2S precipitation forecasting using our new bias correction on CFSv2 data. Our model is based on the deep learning model: Attention U-Net having two proposed enhancements: (i) a multi-scale residual block to learn patterns o… Show more
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