DeepWater: deep learning for water quality

The DeepWater (https://github.com/WeiZhiWater/DeepWater) is a flexible, scalable, and explainable deep learning (DL) model to predict riverine water quality. The model is designed to predict spatio-temporal dynamics of water quality at the large scale (e.g., hundreds of rivers) for decades. By leveraging the power of big data and deep learning, the DeepWater aims to improve our ability to better model and understand water quality for decadal trends, seasonal patterns, and daily variations under diverse and changing hydro-climate conditions.See GitHub page: https://github.com/WeiZhiWater/DeepWate