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
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:19701101T020000
RRULE:FREQ=YEARLY;BYMONTH=10;BYDAY=-1SU
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTAMP:20210916T132452Z
LOCATION:Jean Calvin
DTSTART;TZID=Europe/Stockholm:20210708T110000
DTEND;TZID=Europe/Stockholm:20210708T113000
UID:submissions.pasc-conference.org_PASC21_sess114_msa199@linklings.com
SUMMARY:ML Service Provisioning for Earth System Science
DESCRIPTION:Minisymposium\n\nML Service Provisioning for Earth System Scie
 nce\n\nLudwig\n\nThe German Climate Computing Centre provides services for
  its four shareholders and the German national climate research and earth 
 system science community. In the past, services were centered around high 
 performance computing, climate model support, and data management. With th
 e advent of machine learning and artificial intelligence methods in the fi
 eld of climate research, DKRZ will extend its service profile. The effort 
 at DKRZ will be undertaken by two subgroups, one for the development of se
 rvices, another one for scientific research. Both are embedded into joint 
 research programs with our users and cooperate closely. DKRZ will also dev
 elop a training program to disseminate new concepts to our users. The next
  generation high performance computing system will integrate a considerabl
 e number of accelerator nodes that will speed up execution of machine lear
 ning programs on parallel environments. The talk will highlight the combin
 ation of technical, organizational, and scientific measures in order to in
 tegrate AI/ML into climate and earth system science.\n\nDomain: CS and Mat
 h, Emerging Applications, Climate and Weather, Solid Earth Dynamics
END:VEVENT
END:VCALENDAR