Greenland’s ice sheet holds enough water to raise global sea levels by over 7 meters, but predicting how much it will actually shrink remains challenging due to the massive computational cost of traditional models. Our latest research introduces machine learning-based downscaling that generates high-resolution climate fields orders of magnitude faster than conventional regional climate models. …[Read More]
An isolated, idyllic, and inspiring setting in the gorgeous Centennial Valley of Montana, where nothing pulls your attention from the task ahead, a motivated group of PhD students and postdocs in glaciology, and five energetic lecturers: the perfect combination for tackling the ambitious challenge of exploring the interface between glaciology and machine learning. Who wouldn’t …[Read More]
Kggk kggk kggk – the sound of crampons accompanies me. A thin layer of snow covers the slippery ice while I pull a sled. As I wipe my hand over the snow, underneath, a blue color glitters in the sun (Figure 2). In the last days it has been snowing in the White Desert (Antarctica). …[Read More]
A Belgian-Dutch team of scientists created the first-ever “treasure map” that shows where in Antarctica meteorites are likely to be found. Meteorites are samples from space that fall as stone-like material on the surface of the Earth. Once recovered, meteorites provide crucial information on the formation and evolution of our Solar System. First meteorite finds …[Read More]
