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Connecting Observations With Theory
Ocean Dynamics Turbulence Connecting Observations With Theory
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Mathematical Framework
Navier-Stokes equations are deterministic, but they describe turbulence Statistical approach required Mathematical framework: Random Processes e.g., Brownian motion Turbulence is non-stationary: mean, variance, etc - vary in time How to make non-stationary data stationary? take differences Therefore, natural variables are increments
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The 2/3 law (Kolmogorov 1941) Universality Hypothesis
In the inertial range, small-scale statistical properties are uniquely and universally determined by scale r and mean energy dissipation . This suggests… Apply dimensional analysis…
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Deriving the Kolmogorov Equation
Write Navier-Stokes equations at two points (1) (2) Eq. (3) = (1) - (2) — and equation for Eq. (4) = — an equation for kinetic energy Next ensemble average: use and apply assumption of homogeneity
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Kolmogorov Equation In terms of the velocity component in the direction of the separation vector r In the inertial range (neglect second term on right) The four-fifths law (most fundamental result in turbulence theory)
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Turbulence predictions 2D and 3D
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An Ongoing Debate… Is Atmospheric KE transferred…
Down-scale? (as in 3D turbulence) Up-scale? (as in 2D turbulence)
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SeaWinds-on-QuikSCAT
Satellite Winds Scatterometer winds… At the bottom of the marine boundary layer SeaWinds-on-QuikSCAT (1999 – 2009) ASCAT-on-MetOp-A (2007 – present)
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SeaWinds Ku-band ~2 cm 13.4 GHz Wind vectors degraded by rain Complicated geometry But no nadir gap (1800 km wide swath)
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ASCAT C-band ~5 cm 5 GHz Unaffected by rain ! Simple geometry Has nadir gap
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SeaWinds Ku-band ~2 cm 13.4 GHz Wind vectors degraded by rain Complicated geometry But no nadir gap (1800 km wide swath) ASCAT C-band ~5 cm 5 GHz Unaffected by rain ! Simple geometry Has nadir gap
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SeaWinds/QuikSCAT ASCAT
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Tropical Pacific
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Study Area Study Period Nov 2008 – October 2009
(both QuikSCAT and ASCAT operational)
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