The Greenland Ice Sheet is melting and contributing to rising sea levels. However, understanding how climate change affects different parts of this ice sheet is complex. We used machine learning to examine how atmospheric and oceanic conditions influence ice thickness changes across Greenland. By analyzing the data region by region, we could see how different areas respond to climate signals. Our results revealed that the ice sheet's response is much more complicated than expected. This complexity means that predicting future ice loss requires more sophisticated approaches.