BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//EERIE - ECPv6.3.3.1//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-ORIGINAL-URL:https://eerie-project.eu
X-WR-CALDESC:Events for EERIE
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:Europe/Berlin
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:20240331T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:20241027T010000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20241118T140000
DTEND;TZID=Europe/Berlin:20241118T150000
DTSTAMP:20260430T232311
CREATED:20240703T064627Z
LAST-MODIFIED:20241014T085413Z
UID:2878-1731938400-1731942000@eerie-project.eu
SUMMARY:Storms\, Eddies and Science
DESCRIPTION:Our 10-minute presentation format Storms\, Eddies and Science Hour will feature the following EERIE project scientists and topics related to Machine Learning methods used in EERIE:\n\nJan-Hendrik Malles (UBREMEN): “Introduction to causal model evaluation and first results from EERIE”\nBobby Antonio (UOXF): “Investigating the use of a machine learning atmospheric emulator in spinning up an ocean model”\nGunnar Behrens (UBREMEN): “Stochastic Deep Learning Parameterizations of Convective Processes”\n\nThe session will be hosted by Veronika Eyring and Katja Weigel.
URL:https://eerie-project.eu/event/storms-eddies-and-science-november/
LOCATION:Online
ATTACH;FMTTYPE=image/png:https://eerie-project.eu/wp-content/uploads/2024/07/SH18.png
END:VEVENT
END:VCALENDAR