Chirps

该数据集融合了卫星和气象站的数据，提供了跨越所有经度的南纬50°至北纬50°范围内，超过30年的0.25度分辨率的降水数据。该数据集为训练和验证本文提出的深度学习模型提供了一套全面的降水数据集，对于天气预报以及从低分辨率数据下采样高分辨率预测的任务至关重要。

This dataset integrates data from satellites and meteorological stations, providing 0.25° spatial resolution precipitation data spanning over 30 years and covering the latitude range of 50°S to 50°N across all longitudes. It serves as a comprehensive precipitation resource for training and validating the deep learning model proposed in this paper, and is critically important for weather forecasting and the task of downscaling high-resolution predictions from low-resolution data.