Artificial intelligence applications, including neural networks and support vector machines, provide unique capabilities in the prediction of nonlinear processes with skill and computational efficiency, which enables the study of hydrologic processes operating at regional and continental scales. Examples of such applications include the prediction of satellite-based measurements related to snow and soil moisture state estimation.