Learning the water cycle
Time-series foundation models meet water-quality forecasting.
Our work explores how machine learning can support prediction when observations are limited.
Research, observations, and work in progress.
Time-series foundation models meet water-quality forecasting.
Our work explores how machine learning can support prediction when observations are limited.
Water, vegetation, and the terrain between them.
From the root zone to the river basin, we study water as part of a connected environmental system.
Combining ground observations with remote sensing.
These observations help connect local measurements with hydrological processes across mountain catchments.