Progress in the machine learning section of the project!

After preparing ensemble statistics over the COSMO-DE EPS numerical weather prediction, we compared artificial neural networks and the classically used linear regression as post-processing models for precipitation at several weather stations. After testing numerous different potential neural network architectures, we found that we can consistently outperform linear regression and improve significantly over the numerical weather prediction result. Look forward to a publication soon.