Code and data for the paper "Weather and climate forecasting with neural networks: using GCMs with different complexity as study-ground" in GMDD by Sebastian Scher and Gabriele Messori code.zip contains all code developed for the study code/preprocessing/ contains scripts to preprocess the model data code/training_and_prediction/ contains scripts for training and predicting with the neural networks code/analysis contains scripts for analyzing and plotting the neural network predictions code/clim_sims contains scripts to train the climate networks, and to produce and analyze climate runs with the networks code/complexity contains scripts to compute and plot the local dimension model_config_files contains configuration files for PUMA and PLASIM data contains the data underlying the plots, and the trained networks