===== AI4ES Journal Club =====

A template ({{ :working_groups:computational_earth_sciences:ai4es:ai4es_journalclub_slides_template.pptx |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. 

==== Sessions ====
  * 2021-04-14 **Llorenç Lledó and Jaume Ramon**: //"Downscaling and evaluation of seasonal climate data for the European power sector"// ([[https://www.mdpi.com/2073-4433/12/3/304|Atmospheres]]) //"A perfect prognosis downscaling methodology for seasonal prediction of local-scale wind speeds"//([[https://iopscience.iop.org/article/10.1088/1748-9326/abe491/meta|ERL]])
    * {{ :working_groups:computational_earth_sciences:ai4es:ai4es_journalclub_slides_20210414.pdf|Slides}} of the session

  * 2020-10-14 **Lluís Palma García**: //"Improving subseasonal forecasting in the western U.S. With machine learning"// ([[https://arxiv.org/abs/1809.07394|Arxiv]]) // "Sub-Seasonal Climate Forecasting via Machine Learning: Challenges, Analysis, and Advances" // ([[https://arxiv.org/abs/2006.07972|Arxiv]])
    * {{ :working_groups:computational_earth_sciences:ai4es:ai4es_journalclub_slides_20201014.pdf|Slides}} of the session

  * 2020-04-21 **Núria Pérez-Zanón**: //"Lightning Prediction for Australia Using Multivariate Analyses of Large-Scale Atmospheric Variables"// ([[https://journals.ametsoc.org/doi/full/10.1175/JAMC-D-17-0214.1?mobileUi=0|AMETSOC]])
    * {{:working_groups:computational_earth_sciences:ai4es:ai-es_journalclub3_lightningpatterns.pdf |Slides}} of the session


  * 2020-03-17 **Jesus Peña**: //"Deep learning for physical processes: incorporating prior scientific knowledge"// ([[https://iopscience.iop.org/article/10.1088/1742-5468/ab3195|IOPSCience]])
    * {{ :working_groups:computational_earth_sciences:ai4es:ai4es_journalclub_slides_20200317.pdf |Slides}} of the session

  * 2020-03-03 **Carlos Gómez-Gonzalez**: //"WeatherBench: A benchmark dataset for data-driven weather forecasting"// ([[https://arxiv.org/pdf/2002.00469.pdf|Arxiv]], [[https://github.com/pangeo-data/WeatherBench/|GitHub]])
    * {{ :working_groups:computational_earth_sciences:ai4es:ai4es_journalclub_slides_20200303.pptx.pdf |Slides}} of the session