Improving cloud coverage observations in the Arctic
9 February 2026

Photo: UHH / Bühler
Leonie Nellesen successfully defended her Master’s thesis. Congrats, Leonie! Her work focused on improving cloud cover observations in the Arctic by using all-sky camera images from Svalbard and developing a new machine-learning algorithm, helping to fill crucial data gaps during the polar night. She then put these new observations to the test by evaluating the AROME-Arctic weather model, showing it performs well overall but struggles during cold air outbreaks.

