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DTSTAMP:20211207T055410Z
LOCATION:Online
DTSTART;TZID=America/Chicago:20211114T110000
DTEND;TZID=America/Chicago:20211114T113000
UID:submissions.supercomputing.org_SC21_sess424_misc368@linklings.com
SUMMARY:Lightning Talk: Prospects for Data Reduction in Climate Modeling
DESCRIPTION:Workshop\n\nLightning Talk: Prospects for Data Reduction in Cl
 imate Modeling\n\nJacob\n\nTwo forces have driving climate modeling to its
  current strategies for saving output.  As one of the oldest scientific HP
 C applications, and a coupled application, climate models early on develop
 ed a data reduction strategy centered on time averaging.  At the same time
 , the extensive post-run analysis required in climate modeling has made it
  hard to replace current output strategies with combinations of in-situ an
 alysis and advanced data reduction. To do so, one must consider new types 
 of analysis and new customers for climate model information.\n\nTag: Onlin
 e Only, Applications, Big Data, Data Analytics, Data Management\n\nRegistr
 ation Category: Workshop Reg Pass
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