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SUMMARY:MAELSTROM Boot Camp
DTSTART:20231108T090000Z
DTEND:20231110T181000Z
DTSTAMP:20260312T193400Z
UID:indico-event-351@events.ecmwf.int
CONTACT:events@ecmwf.int
DESCRIPTION:DescriptionThe goal of this three-day Boot Camp was to provide
  training for the participants to use machine learning (ML) in weather and
  climate applications on High-Performance Computing systems (HPC). The par
 ticipants received an introduction to the scientific domains of meteorolog
 y\, ML\, and HPC. Afterwards\, they explored the applications developed in
  the MAELSTROM project that include:The use of citizen observations and 
 social media data for better weather predictionsThe use of neural network 
 emulators for faster forecast modelsThe post-processing of ensemble and lo
 cal weather forecastsThe prediction of large-scale weather patterns to sup
 port energy production See https://www.maelstrom-eurohpc.eu/products-ml-
 apps for further details.The tutors were from MAELSTROM partners (https:/
 /www.maelstrom-eurohpc.eu/consortium):European Centre for Medium-Range Wea
 ther ForecastsEidgenössische Technische Hochschule Zürich (ETH Zürich)4
 Cast GmbH & Co. KGMeteorologisk InstituttE4Universite de LuxembourgForschu
 ngszentrum Jülich.The MAELSTROM Boot Camp was organised back-to-back with
  the MAELSTROM Dissemination Workshop (https://events.ecmwf.int/event/350
 /).The MAELSTROM project has received funding from the European High-Perfo
 rmance Computing Joint Undertaking (JU) under grant agreement No 955513. T
 he JU receives support from the European Union’s Horizon 2020 research a
 nd innovation programme and United Kingdom\, Germany\, Italy\, Luxembourg\
 , Switzerland\, Norway\n\nhttps://events.ecmwf.int/event/351/
IMAGE;VALUE=URI:https://events.ecmwf.int/event/351/logo-2013731715.png
LOCATION:ECMWF
URL:https://events.ecmwf.int/event/351/
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