to better predict climate change Scientists need accurate models that predict the behavior of many natural processes. One of them is the melting of Arctic sea ice. This requires expensive and difficult data acquisition in the Arctic.
University of Dayton physicist Ivan Sudakov and his colleagues have developed a new method for understanding the growth of micro-pools on sea ice. They developed a model that borrowed ideas from the 100-year-old Ising model, which simulated the behavior of electromagnetic materials.
This video shows how these small ponds form on the ice. And how can the model be used to understand the process more effectively?