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VERSION:2.0
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BEGIN:VEVENT
UID:b17245b4-d2e4-4226-a225-1993d6d68e6a@world-conf
DTSTAMP:20261108T000538Z
LAST-MODIFIED:20261103T163344Z
SEQUENCE:0
DTSTART:20261127T140000Z
DTEND:20261127T150000Z
SUMMARY:Panel: Towards Coupled AI Climate Models
LOCATION:Virtual\, No address set
URL:http://localhost:8080/en/events/panel-towards-coupled-ai-climate-models
 -2026-11/
DESCRIPTION:ECMWF holds a live panel on 27 November 2026 under the Destinat
 ion Earth (DestinE) initiative of the European Commission's DG-CNECT. Expe
 rts discuss extending AI-based modelling towards coupled models of the Ear
 th system and climate: interactions between system components\, scientific
  and technical challenges\, and directions for the next generation of mode
 ls. The session is broadcast online\, and the recording is released as Mod
 ule 12 of the ECMWF course on machine learning for Earth system modell\n\n
 Official website: https://events.ecmwf.int/event/587\n\nSources:\n- events
 .ecmwf.int: https://events.ecmwf.int/event/587\n\nhttp://localhost:8080/en
 /events/panel-towards-coupled-ai-climate-models-2026-11/
STATUS:CONFIRMED
CATEGORIES:ai,science
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DESCRIPTION:Panel: Towards Coupled AI Climate Models
TRIGGER:-PT1440M
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