BEGIN:VCALENDAR METHOD:REQUEST PRODID:Microsoft Exchange Server 2010 VERSION:2.0 BEGIN:VTIMEZONE TZID:Eastern Standard Time BEGIN:STANDARD DTSTART:16010101T020000 TZOFFSETFROM:-0400 TZOFFSETTO:-0500 RRULE:FREQ=YEARLY;INTERVAL=1;BYDAY=1SU;BYMONTH=11 END:STANDARD BEGIN:DAYLIGHT DTSTART:16010101T020000 TZOFFSETFROM:-0500 TZOFFSETTO:-0400 RRULE:FREQ=YEARLY;INTERVAL=1;BYDAY=2SU;BYMONTH=3 END:DAYLIGHT END:VTIMEZONE BEGIN:VEVENT ORGANIZER;CN=Michael McDonald:mailto:michael.mcdonald@fsu.edu DESCRIPTION;LANGUAGE=en-US:"Data-driven parameterization of ocean surface b oundary layer mixing"\n\nJunhong Liang\nDepartment of Earth\, Ocean and At mospheric Science (EOAS)\nFlorida State University\n\n\nPlease feel free t o forward/share this invitation with other groups/disciplines that might b e interested in this talk/topic. All are welcome to attend.\n\nNOTE: In-pe rson attendance is requested in our 499 Dirac Science Library (DSL) Semina r Room. Zoom access is intended for external (non-departmental) participan ts.\n\n\nhttps://fsu.zoom.us/j/94273595552\nMeeting # 942 7359 5552\n\n šŸŽ¦ Colloquium recordings will be made available here\, https://www.sc.fs u.edu/colloquium\n\n\nWednesday\, Apr 8\, 2026\, Schedule:\n\n* 3:00 to 3:30 PM Eastern Time (US and Canada)\nā˜• Nespresso & Teatime - 417 DSL Commons \n\n* 3:30 to 4:30 PM Eastern Time (US and Canada)\nšŸ•Ÿ Colloquium - 499 DSL Seminar Room\n\n\nAbstract:\nIn ocean and climate models\, turbulence is not explicitly resolved and must be parameterized. The simulation of up per-ocean physical states\, therefore\, depends critically on mixing param eterizations for ocean surface boundary layer turbulence. Existing schemes are formulated with algebraic formulas based on physical principles with a few tunable empirical parameters. They cannot fully represent the divers ity of conditions in the real ocean\, contributing to biases in ocean and climate simulations. In this talk\, I will present our recent efforts to d evelop data-driven parameterizations of turbulent mixing for use in ocean models. In our approach\, neural networks are trained on a large ensemble of large-eddy simulations that explicitly compute upper-ocean turbulence. The resulting data-driven parameterizations are more accurate than traditi onal schemes\, while remaining efficient and numerically stable. We have i mplemented this approach in the Hybrid Coordinate Ocean Model (HYCOM) and demonstrated improved simulations of upper-ocean states in the Gulf of Mex ico.\n\n\nAdditional colloquium details can be found here.\nhttps://www.sc .fsu.edu/news-and-events/colloquium/1922-colloquium-with-junhong-liang-202 6-04-08 \n UID:040000008200E00074C5B7101A82E0080000000035A57EB140C5DC01000000000000000 0100000001F7B715551CE4E41AA101275D590461A SUMMARY;LANGUAGE=en-US:Scientific Computing Colloquium with Junhong Liang DTSTART;TZID=Eastern Standard Time:20260408T153000 DTEND;TZID=Eastern Standard Time:20260408T162500 CLASS:PUBLIC PRIORITY:5 DTSTAMP:20260405T211056Z TRANSP:OPAQUE STATUS:CONFIRMED SEQUENCE:0 LOCATION;LANGUAGE=en-US:https://fsu.zoom.us/j/94273595552 X-MICROSOFT-CDO-APPT-SEQUENCE:0 X-MICROSOFT-CDO-OWNERAPPTID:2124687925 X-MICROSOFT-CDO-BUSYSTATUS:TENTATIVE X-MICROSOFT-CDO-INTENDEDSTATUS:BUSY X-MICROSOFT-CDO-ALLDAYEVENT:FALSE X-MICROSOFT-CDO-IMPORTANCE:1 X-MICROSOFT-CDO-INSTTYPE:0 X-MICROSOFT-DONOTFORWARDMEETING:FALSE X-MICROSOFT-DISALLOW-COUNTER:FALSE X-MICROSOFT-REQUESTEDATTENDANCEMODE:DEFAULT X-MICROSOFT-ISRESPONSEREQUESTED:FALSE X-MICROSOFT-LOCATIONDISPLAYNAME:https://fsu.zoom.us/j/94273595552 X-MICROSOFT-LOCATIONSOURCE:None X-MICROSOFT-LOCATIONS:[{"DisplayName":"https://fsu.zoom.us/j/94273595552"\, "LocationAnnotation":""\,"LocationUri":""\,"LocationStreet":""\,"LocationC ity":""\,"LocationState":""\,"LocationCountry":""\,"LocationPostalCode":"" \,"LocationFullAddress":""}] BEGIN:VALARM DESCRIPTION:REMINDER TRIGGER;RELATED=START:-PT5M ACTION:DISPLAY END:VALARM END:VEVENT END:VCALENDAR