ICE-BUFFER

The ICE-BUFFER (Global glacier buffering of streamflow droughts in a changing climate using deep learning) project aims to provide a global assessment of how glaciers buffer streamflow droughts in a changing climate. It combines glacio-hydrological modeling and deep learning to evaluate how glacier meltwater sustains river flow during dry periods. The project develops tools to assess model performance using large-sample hydrological datasets, tests the robustness of data-driven models under data-scarce conditions, and explores how future glacier retreat will alter drought propagation.

The ICE-BUFFER project is funded as junior postdoctoral fellowship by the Research Foundation – Flanders (FWO).