The DeepRain team has just completed its second project meeting and the project partners return to their home institutions. The meeting was organized at the Institute for Cognitive Sciences at the University in Osnabrück and included a brief tutorial on Deep Learning, which is the expertise of Prof. Gordon Pipa’s research group. Prof. Pipa’s team presented their plans for neural network architectures that will be used to learn rainfall patterns from the ensemble model runs by the German Weather Service. The DeepRain partners continued their discussions about the Terabyte-scale data management and debated about validation methods and error characteristics, and how these may affect the performance of the neural networks. Careful analysis of errors and understanding the merits and limitations of deep learning in the context of weather data are key objectives of the DeepRain project.