Tool
AirQFormer: Improving Regional Air Quality Forecast with a Hybrid Deep Learning Model
This repository includes the deep learning model developed in the study AirQFormer: Improving Regional Air Quality Forecast with a Hybrid Deep Learning Model , which is an end-to-end bias correction method to improve the accuracy of regional CMAQ forecasts. The baseline LSTM model is also included.
Hu, Mingyun, Lu, Xingcheng, Chen, Yiang, Li, Zhenning, Wang, Yueya, Fung, Jimmy C.H.
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