Stanford researchers have integrated machine learning with high-resolution satellite and aerial observations to analyze the physics driving large-scale ice movements in Antarctica. Their findings reveal that existing models lack critical complexity necessary for accurately predicting the Antarctic ice sheet’s dynamics and mass loss, both now and in the future. As the planet warms, Antarctica’s ice [...]from SciTechDaily https://ift.tt/aoyRQh2
