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working_groups:computational_earth_sciences:ai4es:journal_club [2020/12/18 17:20]
cgome1 		working_groups:computational_earth_sciences:ai4es:journal_club [2021/04/14 15:17] (current)
llledo [Sessions]
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-===== AI4ES Meeting and Journal Club =====+===== AI4ES Journal Club =====
  
-For the AI4ES Journal Club sessions, we propose a template {{ :working_groups:computational_earth_sciences:ai4es:ai4es_journalclub_slides_template.pptx |here}} which follows a simple structure:+A template ({{ :working_groups:computational_earth_sciences:ai4es:ai4es_journalclub_slides_template.pptx |here}}) is proposed, following a simple structure:
   * title and authors   * title and authors
   * context   * context
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 ==== Sessions ==== ==== Sessions ====
-  * 2020-12-16 **Davide Faranda** (University of Paris-Saclay): //"Boosting performance in machine learning of geophysical flows via scale separation"// ([[https://doi.org/10.5194/npg-2020-39]]) +  * 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_16122020.pdf|Slides}} of the session +    * {{ :working_groups:computational_earth_sciences:ai4es:ai4es_journalclub_slides_20210414.pdf|Slides}} of the session
- +
-  * 2020-11-25 **Chris Kadow** (DKRZ): //"AI image inpainting technology re-fills missing values in HadCRUT4 - a research journey"// (https://doi.org/10.1038/s41561-020-0582-5)  +
-    *  {{ :working_groups:computational_earth_sciences:ai4es:kadow_bsc-seminar_20201125.pptx |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]])   * 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/journal_club.1608312043.txt.gz · Last modified: 2020/12/18 17:20 by cgome1

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