Journal club meetings

Next meeting

[26-11-2020] 

Paper: Process-based climate model development harnessing machine learning: II. model calibration from single column to global (Hourdin et al. 2020)

 

Past meetings

 

  • [17-09-2020]  Process-based climate model development harnessing machine learning: I. a calibration tool for parameterization improvement (Couvreux et al. 2020)
    Paper: 
    https://www.essoar.org/doi/10.1002/essoar.10503597.1
    Discussion led by: Redouane Lguensat
  • [16-07-2020] A deep learning approach to detecting volcano deformation from satellite imagery using synthetic datasets (Anantrasirichaia et al. 2019)
    Paper:
    https://arxiv.org/pdf/1905.07286.pdf
    Discussion led by: Sophie Giffard-Roisin
  • [18-06-2020] Up to two billion times acceleration of scientific simulations with deep neural architecture search (Kasim et al. 2020) Papers:
    https://arxiv.org/pdf/2001.08055.pdf
    Discussion led by: Julie Deshayes
  • [16-04-2020] Universal Differential Equations for Scientific Machine Learning (Rackauckas et al. 2020)
    Paper: https://arxiv.org/pdf/2001.04385.pdf
    Discussion led by: Redouane Lguensat
  • [19-03-2020] WeatherBench: A benchmark dataset for data-driven weather forecasting by S. Rasp, P.D. Dueben, S. Scher, J.A. Weyn, S. Mouatadid and N. Thuerey (2020)
    Paper: https://arxiv.org/abs/2002.00469
    Discussion led by: Julien Le Sommer
  • [27-02-2020] Deep learning to infer eddy heat fluxes from sea surface height patterns of mesoscale turbulence (George et al. 2020)
    Paper: https://eartharxiv.org/erhy2/
    Discussion led by: Julie Deshayes

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