Data Assimilation and Artificial Intelligence in Hydrology

2 credits · Graduate

The hydrologic community has experienced a surge of data in recent years. This class will discuss methods to handle such wealth of data and their uncertainties. We will particularly discuss methods for data assimilation as well as machine learning methods and applications. The focus will be on hydrology processes, but the covered concepts can be applied to other topics of Earth system processes. Basic statistics and physics knowledge, basic computing skills. However, this class has no formal coding skills requirements and students will be given the opportunity to learn these skills.