Auflistung nach Mitwirkenden "Rasp, Stephan"
Anzeige der Dokumente 1-3 von 3
-
Data‐Driven Medium‐Range Weather Prediction With a Resnet Pretrained on Climate Simulations: A New Model for WeatherBench
Numerical weather prediction has traditionally been based on the models that discretize the dynamical and physical equations of the atmosphere. Recently, however, the rise of deep learning has created increased interest ... -
Potential and Limitations of Machine Learning for Modeling Warm‐Rain Cloud Microphysical Processes
The use of machine learning based on neural networks for cloud microphysical parameterizations is investigated. As an example, we use the warm‐rain formation by collision‐coalescence, that is, the parameterization of ... -
WeatherBench: A Benchmark Data Set for Data-Driven Weather Forecasting
Rasp, Stephan; Dueben, Peter D.; Scher, Sebastian; Weyn, Jonathan A.; Mouatadid, Soukayna; Thuerey, Nils (Journal of Advances in Modeling Earth Systems, 2020)Data-driven approaches, most prominently deep learning, have become powerful tools for prediction in many domains. A natural question to ask is whether data-driven methods could also be used to predict global weather ...