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X-LIC-LOCATION:America/Chicago
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TZOFFSETFROM:-0600
TZOFFSETTO:-0500
TZNAME:CDT
DTSTART:19700308T020000
RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=2SU
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DTSTART:19701101T020000
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BEGIN:VEVENT
DTSTAMP:20211207T055401Z
LOCATION:225
DTSTART;TZID=America/Chicago:20211115T140000
DTEND;TZID=America/Chicago:20211115T144000
UID:submissions.supercomputing.org_SC21_sess349_ws_isav107@linklings.com
SUMMARY:In Situ Climate Modeling for Analyzing Extreme Weather Events
DESCRIPTION:Workshop\n\nIn Situ Climate Modeling for Analyzing Extreme Wea
 ther Events\n\nDutta, Klein, Tang, Wolfe, Roekel...\n\nThe study of many e
 xtreme weather events requires simulations with high spatiotemporal data t
 hat can grow in size quickly. Storing the raw data from such a large-scale
  simulation for traditional post hoc analyses is soon going to be prohibit
 ive as the data generation speed is outpacing the data storage capability.
  In situ analysis has emerged as a solution to this problem; data is analy
 zed when it is being produced, bypassing the slower disk I/O. In this work
 , we develop an in situ analysis for Energy Exascale Earth System Model an
 d propose an algorithm for analyzing the impacts of sudden stratospheric w
 armings (SSWs), which can cause extreme cold temperature outbreaks at the 
 surface, resulting in hazardous weather and disrupting many socioeconomic 
 sectors. We detect SSWs and model the surface temperature distributions in
  situ and show that post hoc analysis using the distribution models can pr
 edict the impact of SSWs.\n\nTag: Applications, Big Data, Visualization\n\
 nRegistration Category: Workshop Reg Pass
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