4.5 Editorial Material

Opportunities and challenges for machine learning in weather and climate modelling: hard, medium and soft AI

出版社

ROYAL SOC
DOI: 10.1098/rsta.2020.0083

关键词

weather prediction; machine learning; climate modelling

资金

  1. Oxford Martin School
  2. Office of Naval Research
  3. Amazon
  4. Vulcan Inc.
  5. Copernicus Atmosphere Monitoring Service (CAMS)
  6. Copernicus Climate Change Service (C3S)
  7. NVIDIA
  8. European Union's Horizon 2020 Research and Innovation Programme [823988]
  9. ERC [741112]
  10. NERC [NE/P018238/1] Funding Source: UKRI
  11. European Research Council (ERC) [741112] Funding Source: European Research Council (ERC)

向作者/读者索取更多资源

The workshop in September 2019 highlighted the growing area of applying machine learning to improve weather and climate prediction, outlining motivations, opportunities, and challenges ahead. This article is part of the theme issue on 'Machine learning for weather and climate modelling'.
In September 2019, a workshop was held to highlight the growing area of applying machine learning techniques to improve weather and climate prediction. In this introductory piece, we outline the motivations, opportunities and challenges ahead in this exciting avenue of research. This article is part of the theme issue 'Machine learning for weather and climate modelling'.

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