http://earth.bsc.es/wiki/ 2026-05-08T00:42:11+00:00 http://earth.bsc.es/wiki/ http://earth.bsc.es/wiki/lib/exe/fetch.php?media=favicon.ico text/html 2021-05-06T08:46:39+00:00 Anonymous (anonymous@undisclosed.example.com) http://earth.bsc.es/wiki/doku.php?id=working_groups:computational_earth_sciences:ai4es:ai4es_seminar&rev=1620290799&do=diff AI4ES Seminar Sessions * 2021-03-24 Marlene Kretschmer (University of Reading): “Causal inference and causal discovery in climate science” * [Slides] * 2021-02-24 Redouane Lguensat (IPSL/Sorbonne Université): “Uncertainty quantification and ML for the tuning of climate models text/html 2020-08-07T15:44:54+00:00 Anonymous (anonymous@undisclosed.example.com) http://earth.bsc.es/wiki/doku.php?id=working_groups:computational_earth_sciences:ai4es:applications&rev=1596815094&do=diff BSC-ES projects where the AI4ES research line plays an important or leading role For a more complete list of ongoing and potential use cases, see the strategy document. * AI for extreme extreme weather events and climate services (ASTERISKS H2020). Deep Neural Networks from the field of computer Vision can be used for pattern recognition in a supervised way, exploiting reanalysis data and historical event databases (e.g., IBTrACS for tropical cyclones) or other impact data. text/html 2020-08-07T15:46:24+00:00 Anonymous (anonymous@undisclosed.example.com) http://earth.bsc.es/wiki/doku.php?id=working_groups:computational_earth_sciences:ai4es:datathons&rev=1596815184&do=diff Datathons * RDA Climate Change Datathon (CANCELLED due to codvid19, 20-21 April, 2020). Event jointly organized by the Research Data Alliance - Europe Spanish Node and the BSC. The topics are related to Machine Learning and data analysis of Earth Science data. text/html 2021-04-14T15:17:48+00:00 Anonymous (anonymous@undisclosed.example.com) http://earth.bsc.es/wiki/doku.php?id=working_groups:computational_earth_sciences:ai4es:journal_club&rev=1618413468&do=diff 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. text/html 2020-03-02T09:58:14+00:00 Anonymous (anonymous@undisclosed.example.com) http://earth.bsc.es/wiki/doku.php?id=working_groups:computational_earth_sciences:ai4es:mailist&rev=1583143094&do=diff AI4ES mailing list Please join the AI4ES mailing list if you want to be up to date with our activities. Same as with other local mailing lists, you can subscribe by sending a mail with the subject 'subscribe' to ai4es-request@bsc.es. You can also perform other account modifications by sending various messages to this address. Complete information can be obtained by sending an e-mail with the subject 'help' to the mentioned address. text/html 2020-08-07T11:13:35+00:00 Anonymous (anonymous@undisclosed.example.com) http://earth.bsc.es/wiki/doku.php?id=working_groups:computational_earth_sciences:ai4es:meetings&rev=1596798815&do=diff Meetings * Meeting with the ESS group to discuss potential usages of AI to be explored in the coming months. A summary of the ideas can be found [here]. * The first AI4ES brainstorming session was held in January 2020. The [slides can be found here]. * Old presentations (circa 2017) text/html 2020-02-19T16:22:10+00:00 Anonymous (anonymous@undisclosed.example.com) http://earth.bsc.es/wiki/doku.php?id=working_groups:computational_earth_sciences:ai4es:old_presentations&rev=1582129330&do=diff * Alicia Sanchez Lorente, Brainstorming Meeting on ML App.[Intro] * Omar Bellprat, Climate Prediction Group: Machine Learning.[Climate_Prediction] * Marc Guevara, Atmospheric Composition Group: Machine Learning.[Air_quality] * Niti Mishra, Machine Learning - Applications in climate Science text/html 2020-02-13T13:53:22+00:00 Anonymous (anonymous@undisclosed.example.com) http://earth.bsc.es/wiki/doku.php?id=working_groups:computational_earth_sciences:ai4es:papers&rev=1581602002&do=diff Publications Causal Effect Networks Kretschmer, M., D. Coumou, J. F. Donges, and J. Runge (2016), Using Causal Effect Networks to analyze different Arctic drivers of mid-latitude winter circulation, J. Clim., 4069–4081, doi:10.1175/JCLI-D-15-0654.1. text/html 2020-02-13T13:55:14+00:00 Anonymous (anonymous@undisclosed.example.com) http://earth.bsc.es/wiki/doku.php?id=working_groups:computational_earth_sciences:ai4es:presentations&rev=1581602114&do=diff 2017 - January * Alicia Sanchez Lorente, Brainstorming Meeting on ML App.[Intro] * Omar Bellprat, Climate Prediction Group: Machine Learning.[Climate_Prediction] * Marc Guevara, Atmospheric Composition Group: Machine Learning.[Air_quality] * Niti Mishra, Machine Learning - Applications in climate Science text/html 2021-07-30T09:18:11+00:00 Anonymous (anonymous@undisclosed.example.com) http://earth.bsc.es/wiki/doku.php?id=working_groups:computational_earth_sciences:ai4es:tools&rev=1627636691&do=diff ML/AI tools on the POWER-CTE (P9) cluster We recommend using a Conda environment, using the OPEN-CE distribution, rather than requesting (which implies difficult compiling processes) new Earth modules. Follow the steps listed below: mkdir /gpfs/projects/bsc32/bsc32XXX