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SUMMARY:Discover Anemoi: Webinar Series
DTSTART:20260616T080000Z
DTEND:20260618T090000Z
DTSTAMP:20260428T090200Z
UID:indico-event-562@events.ecmwf.int
CONTACT:training@ecmwf.int
DESCRIPTION:\nThis three-part webinar series will introduce you to Anemoi\
 , an open-source software framework developed by ECMWF and European meteor
 ological services to develop and implement data-driven weather forecasting
  and Earth systems models.\nECMWF experts will explain what Anemoi is\, th
 e motivation behind it\, and how it is being used to develop cutting-edge 
 global and regional AI weather models\, as well as applications in downsca
 ling\, ensemble forecasting and more. Our speakers will cover the key com
 ponents of Anemoi: datasets\, graphs\, models\, training\, and inference.\
 nThe webinar series is free and open to anyone\, and is scheduled as follo
 ws.\nIntroduction + Anemoi Datasets\nTuesday 16th June 15:00 CEST | Ana P
 rieto Nemesio and Harrison Cook\nThis webinar will give an overview of the
  Anemoi framework\, its different components\, and how it is being applied
  in operational and research settings. In the second part of the webinar\,
  we will explore Anemoi Datasets\, an Anemoi component which enables effic
 ient creation\, loading and transformation of datasets ready for data-driv
 en weather modelling. \nAnemoi Graphs + Anemoi Models\nWednesday 17th Jun
 e 15:00 CEST | Mario Santa Cruz\nSince Anemoi is built around graph neura
 l networks\, our second webinar introduces two key Anemoi components for d
 efining training experiments. Anemoi Graphs is a suite of tools for creati
 ng graphs for use in data-driven weather forecasting models\, while Anemoi
  Models specifies the deep learning model architecture and includes tools 
 for preprocessing\, among other things. \nAnemoi Training + Anemoi Infere
 nce\nThursday 18th June 15:00 CEST | Ana Prieto Nemesio and Harrison Cook
 \nOur final webinar will begin by covering Anemoi Training\, which provide
 s the tools to train large-scale machine learning models\, including profi
 ling\, efficient parallelisation\, and diagnostic tools. Finally\, we will
  take a tour of Anemoi Inference\, which generates forecasts (performs inf
 erence) from a trained model\, using specified initial conditions.\nWant t
 o find out more in advance? Watch our short introductory video on Anemoi\,
  explore the Anemoi repo on GitHub\, or take a look at the Anemoi Documen
 tation.\n \n\nhttps://events.ecmwf.int/event/562/
LOCATION:Online
URL:https://events.ecmwf.int/event/562/
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