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SUMMARY:Characterizing turbulent heat transport in the ocean using machine
  learning - Miles Couchman (University of Cambridge)
DTSTART:20211014T103000Z
DTEND:20211014T113000Z
UID:TALK163045@talks.cam.ac.uk
CONTACT:Catherine Pearson
DESCRIPTION:To book an in-person seat at the seminar this Thursday please 
 use the link below - please note that once the number is reached you will 
 not be able to register but will be able to watch via the Zoom link at the
  bottom of this email.  There will also be a selection of individually wra
 pped sandwich lunches for everyone who is attending in-person.\n\nhttps://
 stokes.cceif.group.cam.ac.uk:1763/seminarreg/163045\n\nFace coverings are 
 expected to be worn on arrival at the BPI Institute AND during the seminar
  and in all communal areas. Face coverings should only be removed once you
  have collected lunch and are back at your seat. Please also note that for
  ventilation windows in the Open Plan Area must remain open at all times.\
 n\nBPI Seminar - Thursday 14 October 2021\n\n11.30\n\nMiles Couchman\, Uni
 versity of Cambridge\nCharacterizing turbulent heat transport in the ocean
  using machine learning\n\nTurbulence enhances the mixing of heat between 
 different layers of the ocean\, playing a critical role in driving global 
 currents that influence the Earth’s climate. Measurements of centimeter-
 scale velocity and temperature fluctuations\, termed microstructure\, curr
 ently provide the best observational means of probing such mixing and char
 acterizing its variability in space and time. We present a new\, data-driv
 en technique for analyzing microstructure data that uses an unsupervised m
 achine learning clustering algorithm to identify fluid regions with simila
 r measured characteristics automatically\, yielding insight into the under
 lying turbulent mechanisms driving mixing. Our results highlight the inter
 mittent nature of the turbulence\, demonstrating that relatively rare\, bu
 t extreme events have the potential to dominate the bulk mixing statistics
 . As an extension to this work\, we discuss a recent analysis of direct nu
 merical simulations of stratified turbulence\, revealing insight into mixi
 ng dynamics on length scales that are not yet resolvable in oceanographic 
 measurements.\n\nTo Attend Via Zoom:\n\nTime: Oct 14\, 2021 11:15 AM Londo
 n\n\nJoin Zoom Meeting\nhttps://zoom.us/j/93848803121\n\nMeeting ID: 938 4
 880 3121\n\nTo attend the meeting\, just open the meeting link in e.g.\, a
  web browser\, which\, if you have not already installed Zoom\, will start
  a download and the quick installation of a small client will be necessary
 . If you already have Zoom\, you already know what to do - and the link ca
 n be entered as the message ID.\n\nThe link will be live from 11.15am. By 
 default you will be muted and not emitting video\, so remember to unmute y
 ourself before asking questions.\n\n\nThis talk is part of the Seminars fo
 r the Centre for Environmental and Industrial Flows series.
LOCATION:Open Plan Area\, BP Institute\, Madingley Rise CB3 0EZ
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