Hydroinformatics for hydrology: data-driven and hybrid techniques

This year at EGU GA YHS started organizing a new short course: “Hydroinformatics for hydrology”. The theme of this very first short course was on data-driven and hybrid techniques. Being introduced to the fundamentals of data-driven modelling, the participants (around 40) had the chance to learn about various applications of most commonly used data-driven techniques in hydrology and water resources research. We would like to thank Prof. Dimitri Solomatine from UNESCO-IHE for delivering the lecture. You can find his lecture slides here:

Part-2-Artificial Neural Networks (ANN)
Part-3-Case Studies
Part-4-Combination of Models
Part-5-Uncertainty Analysis

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