Code for Using the Fourier Neural Operator and Real-Time GOES-R Satellite Data for Precipitation Retrievals in the Southern Great Plains

This library contains the code for the article 'Using the Fourier Neural Operator and Real-Time GOES-R Satellite Data for Precipitation Retrievals in the Southern Great Plains'. The file 'FNO_model.py' is a modified version of the Fourier Neural Operator for 2D problems such as the Darcy Flow is discussed in Section 5.2 in the paper 'Fourier Neural Operator for Parametric Differential Equations' which can be found at https://arxiv.org/abs/2010.08895. The file 'datasetClass.py' defines the custom dataset class used for the pytorch train and test dataloaders. The original code for the FNO can be downloaded via github using the link: https://github.com/neuraloperator/neuraloperator