Access to large computational resources is important for training deep learning models in climate science due to the complex and demanding nature of the tasks involved. Climate science deals with vast amounts of data, including satellite imagery, climate model simulations, and observational records. Deep learning models, such as those implemented using TensorFlow, have shown great