Hydrological Sciences

Sanika Baste

PhD candidate at Institute of Water and Environment, Karlsruhe Institute of Technology, Karlsruhe, Germany. Research focus on data-driven rainfall–runoff modeling and current work involves developing a better understanding of how neural networks make rainfall-runoff simulations, especially in the case of hydrological extrapolation.

How to Keep Up with ML Developments – A Few Hints

Sanika Baste, Ralf Loritz and Benedikt Heudorfer May 28, 2025

Keeping up with current Machine Learning (ML) developments in hydrology can seem like a never-ending game of catch-up! Instead of drowning yourself in a heap of scientific publications, here are a few practical hints to help you stay ahead in the ever-evolving intersection of ML and hydrology. Hint 1: Surround Yourself with Experts and Like-Minded …[Read More]

About

Welcome to the blog of the Hydrological Sciences (HS) Division of the European Geosciences Union (EGU). This blog is a platform to communicate new ideas and old thoughts, a bit of history and future perspectives, as well as a glimpse at experimental and modelling studies. In other words, it is a platform to share news, research and opinions on hydrological processes and applications, including interactions between hydrology and other disciplines in geosciences. Everybody is invited to contribute to the blog and submit posts to the Editorial Team.