Scientists are working on ways to predict future climate changes on a regional scale. They are using statistical downscaling techniques to extract detailed information from global climate models. By analyzing the relationship between large-scale and regional climate patterns, these methods can provide accurate predictions at a lower computational cost. This approach offers a more affordable and efficient way to create future climate change scenarios compared to other methods. Additionally, combining statistical and dynamical downscaling techniques could lead to even more advanced prediction methods in the future.