Tracing the ventilation pathways of the Deep North Pacific Ocean using Lagrangian particles and Eulerian tracers

Tracing the ventilation pathways of the Deep North Pacific Ocean using Lagrangian particles and... AbstractLagrangian forward and backward models are introduced into a coarse-grid ocean global circulation model to trace the ventilation routes of the Deep North Pacific Ocean. The random walk aspect in the Lagrangian model is dictated by a rotated isopycnal diffusivity tensor in the circulation model, and the effect of diffusion is explicitly resolved by means of stochastic terms in the Lagrangian model. The analogy between the probability distribution of a Lagrangian model with the Green’s function of an Eulerian tracer transport equation is established. The estimated first- and last-passage time density of Deep North Pacific using both the Eulerian and the Lagrangian models ensured that the Lagrangian pathways and their ensemble statistics are consistent with the Eulerian tracer transport and its adjoint model. Moreover, the sample pathways of the ventilated mass fractions of the Deep North Pacific particles to and from ocean surface are studied. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of Physical Oceanography American Meteorological Society

Tracing the ventilation pathways of the Deep North Pacific Ocean using Lagrangian particles and Eulerian tracers

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Publisher
American Meteorological Society
Copyright
Copyright © American Meteorological Society
ISSN
1520-0485
eISSN
1520-0485
D.O.I.
10.1175/JPO-D-16-0098.1
Publisher site
See Article on Publisher Site

Abstract

AbstractLagrangian forward and backward models are introduced into a coarse-grid ocean global circulation model to trace the ventilation routes of the Deep North Pacific Ocean. The random walk aspect in the Lagrangian model is dictated by a rotated isopycnal diffusivity tensor in the circulation model, and the effect of diffusion is explicitly resolved by means of stochastic terms in the Lagrangian model. The analogy between the probability distribution of a Lagrangian model with the Green’s function of an Eulerian tracer transport equation is established. The estimated first- and last-passage time density of Deep North Pacific using both the Eulerian and the Lagrangian models ensured that the Lagrangian pathways and their ensemble statistics are consistent with the Eulerian tracer transport and its adjoint model. Moreover, the sample pathways of the ventilated mass fractions of the Deep North Pacific particles to and from ocean surface are studied.

Journal

Journal of Physical OceanographyAmerican Meteorological Society

Published: Mar 30, 2017

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