The researchers developed a technique called Self-Organizing Map Downscaling (SOMD) to predict future precipitation levels based on global climate change data. By analyzing historical weather patterns, they were able to create a model that can estimate how much rain will fall in a specific area in the near future (2046-2065). This method helps to understand how climate change may affect local weather conditions, providing valuable information for planning and adaptation.