Information Theory in the Hydrological Sciences

Department of Hydrology & Atmospheric Sciences
Weekly Colloquium
Thursday, January 24, 2019
4:00 pm in Harshbarger 206 - Refreshments at 3:45
Grey Nearing
Assistant Professor, Department of Geological Sciences
The University of Alabama

Originally developed in 1948 for optimizing communication networks, information theory has found a broad range of applications across most science and engineering disciplines. This talk will give a general introduction to information theory, and outline a few broad categories of applications in Hydrology. My argument is that information theory provides a broad foundation for unifying certain seemingly disparate aspects of inference, hypothesis testing and prediction. In particular, this talk will cover applications of information theory to constraining physical theory, for hypothesis testing and causal inference, and for understanding dynamical complex systems and models of complex systems.