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AI4ES Journal Club

A template (here) is proposed, following a simple structure:

  • title and authors
  • context
  • methods
  • results
  • conclusions
  • critique

For those sessions with invited speakers, we will make sure to add below the corresponding slides.


  • 2021-04-14 Llorenç Lledó and Jaume Ramon: “Downscaling and evaluation of seasonal climate data for the European power sector” (Atmospheres) “A perfect prognosis downscaling methodology for seasonal prediction of local-scale wind speeds”(ERL)
  • 2020-10-14 Lluís Palma García: “Improving subseasonal forecasting in the western U.S. With machine learning” (Arxiv) “Sub-Seasonal Climate Forecasting via Machine Learning: Challenges, Analysis, and Advances” (Arxiv)
  • 2020-04-21 Núria Pérez-Zanón: “Lightning Prediction for Australia Using Multivariate Analyses of Large-Scale Atmospheric Variables” (AMETSOC)
  • 2020-03-17 Jesus Peña: “Deep learning for physical processes: incorporating prior scientific knowledge” (IOPSCience)
  • 2020-03-03 Carlos Gómez-Gonzalez: “WeatherBench: A benchmark dataset for data-driven weather forecasting” (Arxiv, GitHub)
working_groups/computational_earth_sciences/ai4es/journal_club.txt · Last modified: 2021/04/14 15:17 by llledo