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ORGANIZER;CN=Michael McDonald:mailto:michael.mcdonald@fsu.edu
DESCRIPTION;LANGUAGE=en-US:"Placement of observations in Dynamic Data Assim
 ilation using Forward Sensitivity Method"\n\nS. Lakshmivarahan\nGeorge Lyn
 n Cross Research Professor Emeritus\nSchool of Computer Science\, Universi
 ty of Oklahoma\n\n\nPlease feel free to forward/share this invitation with
  other groups/disciplines that might be interested in this talk/topic. All
  are welcome to attend.\n\nNOTE: In-person attendance is requested in our 
 499 Dirac Science Library (DSL) Seminar Room. Zoom access is intended for 
 external (non-departmental) participants only.\n\nhttps://fsu.zoom.us/j/94
 273595552\nMeeting # 942 7359 5552\n\n🎦 Colloquium recordings will be m
 ade available here\, https://www.sc.fsu.edu/colloquium<https://nam04.safel
 inks.protection.outlook.com/?url=https%3A%2F%2Fwww.sc.fsu.edu%2Fcolloquium
 &data=05%7C02%7Csc-seminar-announce%40lists.fsu.edu%7Cb3ca5e6beb0e45c9e903
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 2L16OXfBM4AMcepgxEsASf2Wi6AlMgQXh8%3D&reserved=0>\n\n\nWednesday\, Apr 15\
 , 2026\, Schedule:\n\n* 3:00 to 3:30 PM Eastern Time (US and Canada)\n☕ 
 Nespresso & Teatime - 417 DSL Commons\n\n* 3:30 to 4:30 PM Eastern Time (U
 S and Canada)\n🕟 Colloquium - 499 DSL Seminar Room\n\n\nAbstract:\nTher
 e is an ever-growing need for increasing model resolution which in turn in
 creases the dimension of the model space. Thanks to the confluence of adva
 nces in sensor\, wireless communication\, large scale storage technologies
 \, the amount of data collected doubles in a few years. With the Increase 
 in model dimension\, and the amount of data made available\, the time need
 ed to assimilate large volumes of data using the well-known 4-DVAR methods
  in high dimensional models correspondingly increases. However\, in practi
 cal situations\, time allotted for data assimilation is limited and is oft
 en fixed. For a given model of large dimension\, the only way to reduce th
 e assimilation time is to select a subset of observations in the assimilat
 ion window to get good estimates of the control variables consisting of in
 itial and boundary conditions and parameters. A method based on the evolut
 ion of the forward sensitivity of the model solution with respect to the c
 ontrol variables can be used as a guide in the selection of a subset of ef
 fective observations for estimating the control. Simple examples will be u
 sed to illustrate this process.\n\n\nAdditional colloquium details can be 
 found here.\nhttps://www.sc.fsu.edu/news-and-events/colloquium/1928-colloq
 uium-with-s-lakshmivarahan-2026-04-15<https://nam04.safelinks.protection.o
 utlook.com/?url=https%3A%2F%2Fwww.sc.fsu.edu%2Fnews-and-events%2Fcolloquiu
 m%2F1928-colloquium-with-s-lakshmivarahan-2026-04-15&data=05%7C02%7Csc-sem
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 0100000007439D97D8403FC4EB51AE563E45165D4
SUMMARY;LANGUAGE=en-US:Scientific Computing Colloquium with S. Lakshmivarah
 an
DTSTART;TZID=Eastern Standard Time:20260415T153000
DTEND;TZID=Eastern Standard Time:20260415T162500
CLASS:PUBLIC
PRIORITY:5
DTSTAMP:20260413T191527Z
TRANSP:OPAQUE
STATUS:CONFIRMED
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