Weather Prediction by Machine Learning - Better than Ever?¶
Thomas Ludwig (DKRZ Hamburg)
Abstract¶
Up to the 19th century, weather prediction was done with human intelligence by observation and qualitative considerations. With the collection of measurement data, prediction started to be be based on quantitative data. First, computed by humans, but quickly also by early computers. Over the decades we see a considerable improvement in prediction quality, however, the task is very compute and data intensive. The advent of advanced machine learning methods together with huge volumes of observational data give rise to a new concept for computational weather predictions. The talk will present and discuss success stories and their implications onto HPC in the field of meteorology.