BEGIN:VCALENDAR
VERSION:2.0
PRODID:Linklings LLC
BEGIN:VTIMEZONE
TZID:Europe/Stockholm
X-LIC-LOCATION:Europe/Stockholm
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:19700308T020000
RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=-1SU
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BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:19701101T020000
RRULE:FREQ=YEARLY;BYMONTH=10;BYDAY=-1SU
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BEGIN:VEVENT
DTSTAMP:20241120T082409Z
LOCATION:HG F 1
DTSTART;TZID=Europe/Stockholm:20240603T160000
DTEND;TZID=Europe/Stockholm:20240603T163000
UID:submissions.pasc-conference.org_PASC24_sess155_msa296@linklings.com
SUMMARY:Panel Discussion on the Future of Machine Learning in Earth System
  Modelling
DESCRIPTION:Minisymposium\n\nKarthik Kashinath (NVIDIA Inc.)\n\nIn this pa
 nel discussion, the speakers of the session will be asked about their view
  on how machine learning for Earth system modelling will evolve in the com
 ing years, and how machine learning and conventional models will interact,
  merge or coexist. The session will start with a couple of questions by th
 e chair but will also give the audience the opportunity to ask questions a
 nd to make comments.\n\nDomain: Climate, Weather, and Earth Sciences, Comp
 utational Methods and Applied Mathematics\n\nSession Chair: Karthik Kashin
 ath (NVIDIA Inc., Lawrence Berkeley National Laboratory)
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