Overview of the cGAN code

There are three main parts to getting the cGAN up and running for regional post-processing of global Numerical Weather Prediction (NWP) forecasts. For simplicity these are modularised into sub-directories with individual instructions contained within. When training and running the cGAN, we recommend visiting and following instructions from the sub-directories in the following order:

1. data: Loading data and creating tfrecords for training.
2. model: Setting up the model architecture and training the model.
3. scripts: Generating forecasts.

Additionally, sub-directories evaluation and config contain evaluation scripts and the necessary configuration files for setting data paths and model architecture.