{"events":[{"id":22216,"global_id":"destination-earth.eu?id=22216","global_id_lineage":["destination-earth.eu?id=22216"],"author":"37","status":"publish","date":"2026-01-13 20:07:55","date_utc":"2026-01-13 19:07:55","modified":"2026-01-13 20:18:06","modified_utc":"2026-01-13 19:18:06","url":"https:\/\/destination-earth.eu\/event\/5th-ecmwf-esa-machine-learning-workshop\/","rest_url":"https:\/\/destination-earth.eu\/wp-json\/tribe\/events\/v1\/events\/22216","title":"5th ECMWF-ESA Machine Learning Workshop","description":"

ECMWF and ESA are organising the fifth workshop on Machine Learning for Earth Observation and Prediction, which will be held from 13-17 April 2026 in Bologna, Italy.<\/p>\r\n

Machine Learning (ML) is increasingly being used to observe and predict how the Earth system behaves. The scale, complexity and sophistication of these ML technologies have also increased considerably over the last few years.<\/p>\r\n

The in-person meeting will provide an up-to-date snapshot of the state of the art in this rapidly evolving field. It will also be a forum of discussion and interaction among scientists and practitioners about the current opportunities and challenges presented by the use of ML technologies for Earth system observation and prediction.<\/p>\r\n

The workshop will discuss hybrid ML-physics based systems and end-to-end ML approaches for data assimilation and weather and climate prediction. It will explore new ways to apply ML to Earth system observations and examine how high performance and emerging computing technologies can accelerate these applications. Participants will also look at the role of ML in building digital twins of the Earth system and share strategies to make these models more accurate and efficient.<\/p>\r\n

Registration for in person participation closes on 31 January. For submission details or to register for the event, please visit the official website here:<\/strong><\/em><\/p>\r\n

\r\n
Visit event website<\/a><\/div>\r\n<\/div>","excerpt":"

Forum to discuss ML opportunities and challenges in Earth system observation and prediction.<\/p>","slug":"5th-ecmwf-esa-machine-learning-workshop","image":{"url":"https:\/\/destination-earth.eu\/wp-content\/uploads\/2026\/01\/ECMWF-ESA-workshop-2025-graphic.jpg","id":22223,"extension":"jpg","width":690,"height":460,"filesize":204527,"sizes":{"medium":{"width":300,"height":200,"mime-type":"image\/jpeg","filesize":25510,"url":"https:\/\/destination-earth.eu\/wp-content\/uploads\/2026\/01\/ECMWF-ESA-workshop-2025-graphic-300x200.jpg"},"thumbnail":{"width":150,"height":150,"mime-type":"image\/jpeg","filesize":10818,"url":"https:\/\/destination-earth.eu\/wp-content\/uploads\/2026\/01\/ECMWF-ESA-workshop-2025-graphic-150x150.jpg"},"square__500x500":{"width":300,"height":300,"mime-type":"image\/jpeg","filesize":36105,"url":"https:\/\/destination-earth.eu\/wp-content\/uploads\/2026\/01\/ECMWF-ESA-workshop-2025-graphic-300x300.jpg"}}},"all_day":true,"start_date":"2026-04-13 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21:59:59","utc_end_date_details":{"year":"2026","month":"04","day":"17","hour":"21","minutes":"59","seconds":"59"},"timezone":"Europe\/Rome","timezone_abbr":"CEST","cost":"","cost_details":{"currency_symbol":"$","currency_code":"USD","currency_position":"prefix","values":[]},"website":"https:\/\/events.ecmwf.int\/event\/488\/","show_map":true,"show_map_link":true,"hide_from_listings":false,"sticky":false,"featured":false,"categories":[{"name":"Workshop","slug":"workshop","term_group":0,"term_taxonomy_id":131,"taxonomy":"tribe_events_cat","description":"","parent":0,"count":12,"filter":"raw","id":131,"urls":{"self":"https:\/\/destination-earth.eu\/wp-json\/tribe\/events\/v1\/categories\/131","collection":"https:\/\/destination-earth.eu\/wp-json\/tribe\/events\/v1\/categories"}}],"tags":[{"name":"AI","slug":"ai","term_group":0,"term_taxonomy_id":33,"taxonomy":"post_tag","description":"","parent":0,"count":8,"filter":"raw","id":33,"urls":{"self":"https:\/\/destination-earth.eu\/wp-json\/tribe\/events\/v1\/tags\/33","collection":"https:\/\/destination-earth.eu\/wp-json\/tribe\/events\/v1\/tags"}},{"name":"digital 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