Corpus ID: 211010804

WeatherBench: A benchmark dataset for data-driven weather forecasting

@article{Rasp2020WeatherBenchAB,
  title={WeatherBench: A benchmark dataset for data-driven weather forecasting},
  author={Stephan Rasp and Peter D. D{\"u}ben and Sebastian Scher and Jonathan A. Weyn and Soukayna Mouatadid and Nils Th{\"u}rey},
  journal={arXiv: Atmospheric and Oceanic Physics},
  year={2020}
}
  • Stephan Rasp, Peter D. Düben, +3 authors Nils Thürey
  • Published 2020
  • Physics, Mathematics
  • arXiv: Atmospheric and Oceanic Physics
  • 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 for numerical weather prediction. First studies show promise but the lack of a common dataset and evaluation metrics make inter-comparison between studies difficult. Here we present a benchmark dataset for data-driven medium-range weather forecasting, a topic of high scientific interest for atmospheric and… CONTINUE READING

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