Non quia difficilia sunt non audemus, sed quia non audemus difficilia sunt
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Publications of Torsten Hoefler
Peter Bauer, Peter D. Dueben, Matthew Chantry, Francisco Doblas-Reyes, Torsten Hoefler, Amy McGovern, Bjorn Stevens:

 Deep learning and a changing economy in weather and climate prediction

(Nature Reviews Earth and Environment. Vol 4, Nr. 1, pages 507-509, Aug. 2023)

Publisher Reference

Abstract

The rapid emergence of deep learning is attracting growing private interest in the traditionally public enterprise of numerical weather and climate prediction. A public–private partnership would be a pioneering step to bridge between physics- and data-based methods, and necessary to effectively address future societal challenges.

Documents

Publisher URL: https://www.nature.com/articles/s43017-023-00468-z
 

BibTeX

@article{bauer-dl-economy,
  author={Peter Bauer and Peter D. Dueben and Matthew Chantry and Francisco Doblas-Reyes and Torsten Hoefler and Amy McGovern and Bjorn Stevens},
  title={{Deep learning and a changing economy in weather and climate prediction}},
  journal={Nature Reviews Earth and Environment},
  year={2023},
  month={Aug.},
  pages={507-509},
  volume={4},
  number={1},
  source={http://www.unixer.de/~htor/publications/},
}


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