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Sample 1

X. Sample 2 and 3. Sample 1. Sample 2. Sample 1. Sample 1. Sample 3. Constant heading surveys. Sample 2. Sample 1: Inside the eddy, ADCP, 60 s ensembles, rel vort. at z=20 m, 2 km gridding, no IWs, 2 cm/s rand. error. Sample 2: Outside the eddy, filament.

jhigdon
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Sample 1

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  1. X Sample 2 and 3 Sample 1

  2. Sample 2 Sample 1

  3. Sample 1 Sample 3 Constant heading surveys Sample 2

  4. Sample 1: Inside the eddy, ADCP, 60 s ensembles, rel vort. at z=20 m, 2 km gridding, no IWs, 2 cm/s rand. error

  5. Sample 2: Outside the eddy, filament

  6. Sample 3: Outside the eddy, front

  7. Sample 2: Outside the eddy, filament, 1 km gridding

  8. Measured velocitiy fields IW velocity field variability is 3-9 times greater than model submesoscale variability Is IW velocity field reasonable? Jody data from Pacific Ocean

  9. Sample 2: Outside the eddy, filament, 2 km gridding, w/ IWs

  10. Ship track is significantly influence by IW velocities Not reflected in current analysis

  11. Horizontal Shear Spectra

  12. Scalar Variance Salt gradient spectra:

  13. Scalar Variance

  14. Scalar Variance

  15. Scalar Variance

  16. Scalar Variance • Time change following a patch:

  17. Points • Velocity and its gradients hard • Need IW “filter” like PV • Passive scalars easier • IW “filter” is semi-Lagrange transform (need depth info). • Scalar variance not correlated or scaled by background scalar gradients! • Very counter-intuitive • Scalar variance correlated in a patch for a number of hours (~10?)

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