Machine-Learned Cloud Classes From Satellite Data for Process-Oriented Climate Model Evaluation

  title={Machine-Learned Cloud Classes From Satellite Data for Process-Oriented Climate Model Evaluation},
  author={Andreas Kaps and Axel Lauer and Gustau Camps-Valls and Pierre Gentine and Luis G'omez-Chova and Veronika Eyring},
  journal={IEEE Transactions on Geoscience and Remote Sensing},
  • A. KapsA. Lauer V. Eyring
  • Published 2 May 2022
  • Environmental Science, Computer Science
  • IEEE Transactions on Geoscience and Remote Sensing
Clouds play a key role in regulating climate change but are difficult to simulate within Earth system models (ESMs). Improving the representation of clouds is one of the key tasks toward more robust climate change projections. This study introduces a new machine-learning-based framework relying on satellite observations to improve understanding of the representation of clouds and their relevant processes in climate models. The proposed method is capable of assigning distributions of established… 

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