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--- working_groups:computational_earth_sciences:ai4es:journal_club [2020/10/19 20:43]
lpalma [Sessions]
+++ working_groups:computational_earth_sciences:ai4es:journal_club [2021/03/17 11:46]
cgome1
@@ Line 1: / Line 1: @@
-===== Journal club =====
+===== AI4ES Journal Club =====
-The AI4ES Journal Club will be scheduled on Tuesdays at 12:30 on the weeks when there is not a BSC-ES internal seminar. In principle, our plan is to organize biweekly sessions.
+A template ({{ :working_groups:computational_earth_sciences:ai4es:ai4es_journalclub_slides_template.pptx |here}}) is proposed, following a simple structure:
-The first session of the AI4ES Journal Club will take place the 3rd of March 2020 at the "aula formación". Find below a detailed list of the sessions and the references discussed.
-Each session should start with a short presentation of the article. We propose a template {{ :working_groups:computational_earth_sciences:ai4es:ai4es_journalclub_slides_template.pptx |here}} which follows a simple structure:
   * title and authors
   * context
@@ Line 12: / Line 8: @@
   * conclusions
   * critique
+For those sessions with invited speakers, we will make sure to add below the corresponding slides.
 ==== Sessions ====
-  * 2020-10-14 [Lluís Palma García]: //"Improving subseasonal forecasting in the western U.S. With machine learning"// ([[https://arxiv.org/abs/1809.07394|URL]]) // "Sub-Seasonal Climate Forecasting via Machine Learning: Challenges, Analysis, and Advances" // ([[https://arxiv.org/abs/2006.07972|URL]])
+  * 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]])
+  * 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]])
+  * 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
+    * {{ :working_groups:computational_earth_sciences:ai4es:ai4es_journalclub_slides_20200317.pdf |Slides}} of the session
-  * 2020-03-03 [Carlos Gomez]: //"WeatherBench: A benchmark dataset for data-driven weather forecasting"// ([[https://arxiv.org/pdf/2002.00469.pdf|Arxiv]], [[https://github.com/pangeo-data/WeatherBench/|GitHub]])
+  * 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

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