BEGIN:VCALENDAR VERSION:2.0 PRODID:researchseminars.org CALSCALE:GREGORIAN X-WR-CALNAME:researchseminars.org BEGIN:VEVENT SUMMARY:Sagy Ephrati (University of Twente) DTSTART:20230920T111500Z DTEND:20230920T120000Z DTSTAMP:20260404T150745Z UID:cam/3 DESCRIPTION:Title: Stochastic modeling for coarse computational geophysical fluid dynamics \nby Sagy Ephrati (University of Twente) as part of CAM seminar\n\nLec ture held in MV:L14.\n\nAbstract\nStochasticity has been employed systemat ically in geophysical fluid dynamics (GFD) to model uncertainty. Additiona lly\, fully resolving geophysical flows is computationally expensive due t o the large range of scales of motion present in these flows. These comput ational costs are efficiently mitigated by performing GFD simulations on c oarse computational grids and modeling the effects of unresolved scales on resolved scales. On such grids\, the uncertainty due to unresolved small- scale motions has to be taken into account as well as the loss of accuracy due to poorly resolved spatial derivatives. In this presentation\, we dis cuss how data assimilation methods can be used to derive data-driven stoch astic forcing for coarse computational GFD. We will show that a straightfo rward algorithm\, based on several simplifying assumptions\, already leads to qualitatively accurate outcomes at strongly reduced computational cost s.\n LOCATION:https://stable.researchseminars.org/talk/cam/3/ END:VEVENT END:VCALENDAR