Semi-supervised GAN with sparse ground truth as Boundary Conditions - Cams Data for Experiments

Contains data generated by the CAMS model (during a global reanalysis), used to train and evaluate the models presented in the following scientific article : Dabrowski, Mennesson, Riedi, Djeraba "Semi-supervised GAN with sparse ground truth as Boundary Conditions" International Joint Conference on Neural Networks (2023)https://ieeexplore.ieee.org/document/10191911 This data can be downloaded from the Copernicus Atmospheric Data Store (https://ads.atmosphere.copernicus.eu/#!/home), and is also hosted by the ICARE Data and Services Center (https://www.icare.univ-lille.fr/). This dataset only contains the specific data collection used for the experiments presented in aforementioned article. It is only a portion of the data available from these two websites.