Scientists developed a new method that combines two existing techniques to better predict local climate changes. They first used a detailed model to understand important climate processes, then created a faster statistical model based on that information. This hybrid method was tested in Los Angeles and California, showing it accurately predicts temperature changes from multiple global climate models. Compared to other methods, this new approach captures more detailed climate patterns, making it a more reliable tool for future climate projections.