Climate downscaling is a method to get more detailed weather data for specific locations. Scientists created a deep learning model called CDN that considers different weather patterns and chaos in climate events. This model can better predict extreme weather conditions like heavy rain. It was tested on datasets and showed better results than other methods in predicting daily rainfall in Asia and Europe.