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SUMMARY:Modelling Marine Snow Aggregation in Upper Ocean Turbulence and Su
 bmesoscale Eddies - Emma Beniston\, DAMTP
DTSTART:20260312T130000Z
DTEND:20260312T140000Z
UID:TALK245341@talks.cam.ac.uk
CONTACT:Raymond E. Goldstein
DESCRIPTION:The sinking speed\, and hence export rate\, of marine snow par
 ticles is highly dependent on their size\, which is controlled by aggregat
 ion and disaggregation processes. Physical aggregation occurs primarily du
 e to turbulence and differential settling. Most ocean models do not have s
 ufficient resolution to capture three-dimensional turbulence\, and typical
  parameterisations of turbulent shear neglect small-scale variability. Add
 itionally\, many process-based studies of marine snow aggregation are one-
 dimensional and hence do not capture horizontal variation in the turbulent
  shear rate. Here\, we investigate marine snow aggregation in upper ocean 
 turbulence by performing a series of high-resolution large eddy simulation
 s (LES) coupled with a model for particle aggregation. The defining featur
 e of LES is that they directly resolve the largest three-dimensional turbu
 lent motions and hence capture spatial variability in the shear rate. We f
 ocus on the influence of advection and spatially varying turbulence across
  a range of lengthscales\, including the submesoscale. Previous work has s
 hown that submesoscale eddies (< 10 km) modify small-scale turbulence\, an
 d we assess the importance of this effect on the aggregation and export ra
 tes of marine snow.
LOCATION:MR13\,  Centre for Mathematical Sciences\, Wilberforce Road\, Cam
 bridge
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