CR
Cryospheric Sciences

Highlighted Paper

Using Generative Modelling to Downscale Climate Data for Ice Sheets

Using Generative Modelling to Downscale Climate Data for Ice Sheets

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]

How Citizen Scientists mapped Arctic Permafrost

How Citizen Scientists mapped Arctic Permafrost

Cryosphere scientists know it well; the Arctic doesn’t give up its secrets easily. This is especially true when it comes to exploring permafrost -– frozen soils that store centuries of history underground. Keeping an eye on the state of permafrost is more important than ever, as widespread permafrost thaw is a direct result of  rising …[Read More]

Highlighted Paper – Human Errors in Snow Models

Highlighted Paper – Human Errors in Snow Models

As scientists, we often encounter errors in our own work and in the work of others. As modelers, we call these errors “bugs”. Of course, they are not actual insects, but they definitely keep us awake from time to time. Even though everyone is aware of their existence, we rarely discuss them in a scientific …[Read More]