Machine Learning For Water Cycle Analysis And Prediction

Machine learning has emerged as a powerful tool for predicting and analyzing components of the water cycle, offering unprecedented insights and accuracy. It has been extensively utilized in water resource modeling for applications such as precipitation forecasting, groundwater level forecasting, streamflow forecasting, and runoff simulation.