summer School on Information Theory in the Earth Sciences (3rd-8th June 2019)
June 3-8, 2019, Environmental Hydraulic Institute (IHCantabria),
- How much information does a model or hypothesis contain about the environmental systems we are interested in?
- How much information does a data set contain, and how much is redundant with respect to a specific science or forecasting question?
- What is the best way to combine information contained in local data with information encoded in general hypotheses, laws, or theories?
- How do information theory approaches complement and go beyond existing methods (e.g., Bayesian) for uncertainty analysis?
- Fundamentals of probability theory and information theory
- Practical aspects of working with distributions and information measures
- Hydrological modeling and uncertainty
- (Eco-)hydrological modeling using process networks
- Information-based hydrological learning and prediction
- Learning interpreted as data compression
- Information physics
- Information theory applied to spatial problems
- Information-based design of observational networks
The course will include lectures, exercises, discussion and a 1-afternoon field trip showcasing the hydrological characteristics of the Cantabrian region.
The course is suitable for researchers (MSc, PhD students and postdocs) and newcomers to information theory to learn about and apply concepts and methods of information theory to hydrological and earth system problems.