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VERSION:2.0
PRODID:icalendar-ruby
CALSCALE:GREGORIAN
BEGIN:VTIMEZONE
TZID:America/Chicago
BEGIN:DAYLIGHT
DTSTART:20240310T030000
TZOFFSETFROM:-0600
TZOFFSETTO:-0500
RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3
TZNAME:CDT
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BEGIN:STANDARD
DTSTART:20241103T010000
TZOFFSETFROM:-0500
TZOFFSETTO:-0600
RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11
TZNAME:CST
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BEGIN:VEVENT
DTSTAMP;TZID=America/Chicago:20260409T132402
UID:198133@calendar.wisc.edu
DTSTART;TZID=America/Chicago:20241007T153000
DTEND;TZID=America/Chicago:20241007T163000
DESCRIPTION:Deep Learning for Thunderstorm Nowcasting Using Satellite and R
 adar Observations. Stephanie Ortland\, AOS graduate student\, will present
  her PhD defense and discuss current scientific understanding of convectio
 n from a satellite and radar perspective  to inform the development and ev
 aluation of a deep learning model (called ThunderCast) for convective stor
 m (thunderstorm) nowcasting in the continental United States.\n\nCONTACT: 
 890-1652\, communications@aos.wisc.edu\n\nONLINE: https://go.wisc.edu/uwao
 s-youtube
LOCATION:811 AOSS\, Atmospheric\, Oceanic and Space Sciences Building  (Als
 o offered online)
SUMMARY:AOS Colloquium Series - Stephanie Ortland
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