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SUMMARY:Webinar: Machine Learning for Earth Systems Modelling - What we mi
 ght expect over the next decade
DTSTART:20260327T140000Z
DTEND:20260327T150000Z
DTSTAMP:20260412T191600Z
UID:indico-event-555@events.ecmwf.int
CONTACT:destine-ml-training@ecmwf.int
DESCRIPTION:\nOutline\nECMWF will host a webinar on 27 March 2026\, under 
 the Destination Earth (#DestinE) initiative of DG-CNECT at the European Co
 mmission. The session will explore the evolving role of machine learning (
 ML) and artificial intelligence (AI) in Earth-system modelling\, as part o
 f our online training course Machine Learning in Earth Systems Modelling: 
 Foundations and New Frontiers.\nThe webinar brings together experts from r
 esearch\, operational centres and private tech industries to discuss how M
 L is expected to shape weather and climate modelling over the next decade.
  Short expert perspectives will cover developments in AI forecasting syste
 ms\, hybrid modelling approaches and emerging integrated approaches such a
 s foundation models and jointly coupled AI-driven Earth Systems models\, f
 ollowed by a moderated discussion and audience Q&A.\nSpeakers\n\nPeter Due
 ben (ECMWF)\nSara Hahner (ECMWF)\nTom Beucler (University of Lausanne)\nPe
 ter Knippertz (KIT)\nFernando Iglesias-Suárez (Predictia)\n\nModerator: D
 waipayan Chatterjee (Karlsruher Institut für Technologie - KIT\nWho shoul
 d attend?\nThis event is aimed at a broad audience from academia\, researc
 h organisations\, operational centers\, and industry\, as well as policy a
 nd decision-makers interested in the role of ML and AI in Earth-system mod
 elling.\nThe event is open to the public and to learners of the course Mac
 hine Learning for Earth Systems Modelling: Foundations and New Frontiers\,
  the first course in the training series. If you are following the course\
 , you will still need to register here to attend the live webinar.\nRegist
 ration\nParticipation is free of charge. To register for the event\, click
  the "Registration" link on the left side of this page.\nMore information\
 nTo find out more about our ML training under Destination Earth\, take a l
 ook at our ML training page.\nIf you are interested\, join the free online
  course Machine Learning for Earth Systems Modelling: Foundations and New 
 Frontiers.\nThe webinar will be recorded and the recording will be availab
 le shortly after the webinar on our YouTube channel\, and accessible throu
 gh our eLearning platform as part of the course.\n\nhttps://events.ecmwf.i
 nt/event/555/
LOCATION:Virtual
URL:https://events.ecmwf.int/event/555/
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