WeatherBench: A Benchmark Data Set for Data‐Driven Weather Forecasting

• Published in: Journal of advances in modeling earth systems Vol. 12; no. 11
• Main Authors: Rasp, Stephan, Dueben, Peter D., Scher, Sebastian, Weyn, Jonathan A., Mouatadid, Soukayna, Thuerey, Nils
• Format: Journal Article
• Language: English
• Published: Washington John Wiley & Sons, Inc 01.11.2020; American Geophysical Union (AGU)
• Subjects: Algorithms; artificial intelligence; benchmark; Data; Datasets; Deep learning; Evaluation; Forecasting; Forecasting data; Global weather; Intercomparison; Machine learning; Neural networks; NWP; Regularization methods; Statistical methods; Variables; Weather forecasting; Weather patterns

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 patterns days in advance. First studies show promise but the lack of a common data...