machine learning

Can Machine Learning Help Us Monitor Streams?

Sarah E. Ogle February 12, 2026

Waterfall flowing over mossy sandstone on Perry Creek, an intermittent stream in northern California, United States (Photo taken by Sarah Ogle in January 2022).

Picture this: you’re hiking through a dry landscape when suddenly you hear it—the serene sound of a babbling brook. You round a corner and discover a small waterfall cascading into crystal-clear pools, surrounded by lush green ferns and wildflowers attracting buzzing bees. It feels like stumbling upon a secret oasis. These magical streams that appear and disappear with the seasons are called ...[Read More]

How to include AI methods in your next proposal

Jan Dirk Wegner and Bettina Schaefli June 19, 2025

For all those of us who write research funding proposals, the massive avenue of powerful AI methods poses a serious challenge: how can we appropriately include such methods in our next research project? Is it mandatory, or can we happily focus on our field, lab or numerical methods that we used to always work with? For proposal evaluators, on the other hand, there is this feeling that many proposa ...[Read More]

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 ML Enthusiasts When questioned about how they keep ...[Read More]