[Eoas-seminar] [Seminar-announce] Scientific Computing Colloquium with S. Lakshmivarahan

[eoas-seminar at lists.fsu.edu]

"Placement of observations in Dynamic Data Assimilation using Forward Sensitivity Method"

S. Lakshmivarahan
George Lynn Cross Research Professor Emeritus
School of Computer Science, University of Oklahoma


Please feel free to forward/share this invitation with other groups/disciplines that might be interested in this talk/topic. All are welcome to attend.

NOTE: In-person attendance is requested in our 499 Dirac Science Library (DSL) Seminar Room. Zoom access is intended for external (non-departmental) participants only.

https://fsu.zoom.us/j/94273595552
Meeting # 942 7359 5552

🎦 Colloquium recordings will be made available here, https://www.sc.fsu.edu/colloquium<https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.sc.fsu.edu%2Fcolloquium&data=05%7C02%7Csc-seminar-announce%40lists.fsu.edu%7Cb3ca5e6beb0e45c9e90308de9991058f%7Ca36450ebdb0642a78d1b026719f701e3%7C0%7C0%7C639117045290575423%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&sdata=1zLt1jNCJ2L16OXfBM4AMcepgxEsASf2Wi6AlMgQXh8%3D&reserved=0>


Wednesday, Apr 15, 2026, Schedule:

* 3:00 to 3:30 PM Eastern Time (US and Canada)
☕ Nespresso & Teatime - 417 DSL Commons

* 3:30 to 4:30 PM Eastern Time (US and Canada)
🕟 Colloquium - 499 DSL Seminar Room


Abstract:
There is an ever-growing need for increasing model resolution which in turn increases the dimension of the model space. Thanks to the confluence of advances 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 needed to assimilate large volumes of data using the well-known 4-DVAR methods in high dimensional models correspondingly increases. However, in practical situations, time allotted for data assimilation is limited and is often fixed. For a given model of large dimension, the only way to reduce the assimilation time is to select a subset of observations in the assimilation window to get good estimates of the control variables consisting of initial and boundary conditions and parameters. A method based on the evolution of the forward sensitivity of the model solution with respect to the control variables can be used as a guide in the selection of a subset of effective observations for estimating the control. Simple examples will be used to illustrate this process.


Additional colloquium details can be found here.
https://www.sc.fsu.edu/news-and-events/colloquium/1928-colloquium-with-s-lakshmivarahan-2026-04-15<https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.sc.fsu.edu%2Fnews-and-events%2Fcolloquium%2F1928-colloquium-with-s-lakshmivarahan-2026-04-15&data=05%7C02%7Csc-seminar-announce%40lists.fsu.edu%7Cb3ca5e6beb0e45c9e90308de9991058f%7Ca36450ebdb0642a78d1b026719f701e3%7C0%7C0%7C639117045290617682%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&sdata=FmzYJbuNoleAVSfMb1nx3QncTzJsGXaiLQ68cDCvncM%3D&reserved=0>
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