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SUMMARY:Panel: Towards Regional High-Resolution Weather Forecasting with M
 achine Learning
DTSTART:20260703T130000Z
DTEND:20260703T140000Z
DTSTAMP:20260714T135500Z
UID:indico-event-566@events.ecmwf.int
CONTACT:destine-ml-training@ecmwf.int
DESCRIPTION:\nOutline\nECMWF will host a live panel on 3 July 2026\, under
  the Destination Earth (#DestinE) initiative of DG-CNECT at the European C
 ommission. The session will explore the role of machine learning (ML) in a
 dvancing regional high-resolution weather forecasting\, as part of the onl
 ine training course Machine Learning for Earth Systems Modelling: Architec
 tures\, Data\, and Prediction.\nThis second course in ECMWF’s three-cour
 se ML learning pathway focuses on the technical foundations of machine lea
 rning for weather prediction. It explores how modern AI-based prediction s
 ystems are designed\, trained\, and evaluated using real-world Earth syste
 m data and workflows.\nThe panel will bring together experts from operatio
 nal centres\, research institutions and international organisations to dis
 cuss how ML can support regional and high-resolution weather forecasting. 
 The discussion will address how ML can support regional forecasting throug
 h limited-area modelling\, statistical and ML-based downscaling\, transfer
  learning\, and the integration of heterogeneous Earth-system data. The pa
 nel will also explore the role of ML in delivering more local\, impact-rel
 evant\, and decision-ready forecasts within the Destination Earth Digital 
 Twin framework.\nThe panel will be recorded and made available as part of 
 Module 8 of the online training course.\nSpeakers\n\n\nHåvard Homleid Hau
 gen (MET Norway)\n\n\nJoel Oskarsson (ETH Zurich)\n\n\nRoland Potthast (DW
 D)\n\n\nLeila Hieta (FMI)\n\n\nCorentin Carton de Wiart (ECMWF)\n\n\nWho s
 hould attend?\nThis event is aimed at researchers\, practitioners\, techni
 cal specialists\, operational forecasters\, climate and weather service pr
 ofessionals\, and industry experts interested in the use of ML for regiona
 l weather forecasting and downscaling applications.\nThe event is open to 
 the public and to learners of the course Machine Learning for Earth System
 s Modelling: Architectures\, Data\, and Prediction. If you are following t
 he course\, you will still need to register here to attend the live panel.
 \nRegistration\nParticipation is free of charge. To register for the event
 \, click the "Registration" link on the left side of this page.\nMore info
 rmation\nTo find out more about our ML training under Destination Earth\, 
 take a look at our ML training page.\nIf you are interested\, join the fre
 e online course Machine Learning for Earth Systems Modelling: Architecture
 s\, Data\, and Prediction.\nThe panel will be recorded and made available 
 shortly after the event on our YouTube channel\, and accessible through ou
 r eLearning platform as part of the course.\n\nhttps://events.ecmwf.int/ev
 ent/566/
IMAGE;VALUE=URI:https://events.ecmwf.int/event/566/logo-3416862995.png
LOCATION:Virtual
URL:https://events.ecmwf.int/event/566/
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