APS March Meeting 2014
Volume 59, Number 1
Monday–Friday, March 3–7, 2014;
Denver, Colorado
Session Q30: The Physics of Climate
2:30 PM–5:06 PM,
Wednesday, March 5, 2014
Room: 605
Sponsoring
Unit:
GPC
Abstract ID: BAPS.2014.MAR.Q30.4
Abstract: Q30.00004 : Uncertainties and complexities in small-scale ocean surface mixing processes
3:06 PM–3:42 PM
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Abstract
Author:
Hezi Gildor
(The Institute of Earth Sciences, The Hebrew University)
Ocean mixing and dispersion processes are intermittent in time, nonlinear,
and inhomogeneous in space. Much is known about processes with a spatial
scale of a few tens of km (that can be studied using satellite data) and
about very fine-scale processes (turbulent motions of milimeters to meters
that can be studied using microstructure turbulence profilers). However,
there is a lack of both observations and understanding of the so-called
``submesoscale'' processes, composed of motions on a scale of a few
kilometers.
It is well recognized that submesoscale processes play a critical role in
modulating large-scale circulation, ecological functioning, and the
dispersion of pollutants. Due to limited computer power, present day ocean
and climate models resolve processes on scales down to a few tens of km, so
submesoscale processes have to be parameterized. Accurate parameterizations
of these processes are critical in simulating and predicting ocean
circulation and changes in the climate.
In this talk, I will focus on submesoscale horizontal mixing. Recent
advances in ocean observation systems enable us to reconstruct
quasi-synoptic maps of the ocean surface velocity field, over large areas
and at high spatial (100s of meter) and temporal (30 min) resolutions. These
surface current observations allow the computation of Lagrangian
trajectories of many virtual particles. Based on these trajectories, one can
compute various measures for mixing and identify Lagrangian Coherent
Structures (LCS) using various methods (such as Finite Time and Finite Size
Lyapunov Exponents).
I will demonstrate, using surface current measurements by High Frequency
radar, the existence of temporary submesoscale barriers to mixing. This has
important implications for a wide range of predictions. We were also able to
verify the existence of these barriers using aerial-photographs. Using a
non-stationary Lagrangian stochastic model, I will present a method for
estimating the upper bound of the horizontal eddy diffusivity based on the
existence of such barriers.
To cite this abstract, use the following reference: http://meetings.aps.org/link/BAPS.2014.MAR.Q30.4