BEGIN:VCALENDAR
VERSION:2.0
PRODID:Linklings LLC
BEGIN:VTIMEZONE
TZID:America/Chicago
X-LIC-LOCATION:America/Chicago
BEGIN:DAYLIGHT
TZOFFSETFROM:-0600
TZOFFSETTO:-0500
TZNAME:CDT
DTSTART:19700308T020000
RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=2SU
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0500
TZOFFSETTO:-0600
TZNAME:CST
DTSTART:19701101T020000
RRULE:FREQ=YEARLY;BYMONTH=11;BYDAY=1SU
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTAMP:20181221T160730Z
LOCATION:D220
DTSTART;TZID=America/Chicago:20181114T110000
DTEND;TZID=America/Chicago:20181114T111500
UID:submissions.supercomputing.org_SC18_sess338_svs107@linklings.com
SUMMARY:Arctic Ocean-Sea Ice Interactions
DESCRIPTION:Scientific Visualization & Data Analytics Showcase\nVisualizat
 ion, Tech Program Reg Pass\n\nArctic Ocean-Sea Ice Interactions\n\nFoss, N
 guyen, Bigdeli, Ocaña, Bradshaw...\n\nThe Arctic Ocean, the smallest and s
 hallowest of the five major oceans, is a unique physical and ecological sy
 stem. With the recent shifts in global climate, which are amplified in the
  Arctic, this system is undergoing profound changes. Scientists are workin
 g to document these changes to provide a broad assessment of their local a
 nd global impact. The hostile environment makes comprehensive measurements
  challenging, calling for simulation-based science to support quantitative
  understanding. A critical element of simulation is visualizing the comple
 x time-evolving three-dimensional ocean state. The showcased animation, cr
 eated at the Texas Advanced Computing Center, University of Texas at Austi
 n (UT), visualizes results of a high-resolution data-constrained numerical
  simulation of the circulation of the Arctic Ocean. Different view angles 
 and zooms highlight emergent features, key to understanding some of the Ar
 ctic Ocean’s most important processes.\n\nThe visualization serves as a pu
 blic-outreach component of an NSF-funded project aimed at understanding an
 d quantifying the Arctic ocean-sea ice mean state and its changes in respo
 nse to the Earth’s recent warming. The research is carried out at The Inst
 itute for Computational Engineering and Sciences, the Institute for Geophy
 sics, and the Jackson School of Geosciences, UT. This paper describes brie
 fly the science behind the simulation, the HPC requirements for running th
 e high-resolution model simulation, and the iterative and evolving process
  of creating the animation. The animation is currently being shown at the 
 exhibition “Exploring the Arctic Ocean”, which runs at the UT Visual Arts 
 Center in Austin through the fall 2018 semester.
URL:https://sc18.supercomputing.org/presentation/?id=svs107&sess=sess338
END:VEVENT
END:VCALENDAR