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\section{Introduction} |
\section{Introduction} |
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\label{sec:intro} |
\label{sec:intro} |
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In the past five years, oceanographic state estimation has matured to the |
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extent that estimates of the evolving circulation of the ocean constrained by |
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in-situ and remotely sensed global observations are now routinely available |
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and being applied to myriad scientific problems \citep{wun07}. Ocean state |
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estimation is the process of fitting an ocean general circulation model (GCM) |
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to a multitude of observations. As formulated by the consortium Estimating |
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the Circulation and Climate of the Ocean (ECCO), an automatic differentiation |
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tool is used to calculate the so-called adjoint code of a GCM. The method of |
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Lagrange multipliers is then used to render the problem one of unconstrained |
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least-squares minimization. Although much has been achieved, the existing |
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ECCO estimates lack intercative sea ice. This limits the ability of ECCO to |
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utilize satellite data constraints over sea-ice covered regions. This also |
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limits the usefulness of the ECCO ocean state estimates for describing and |
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studying polar-subpolar interactions. |
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The availability of an adjoint model as a powerful research tool |
The availability of an adjoint model as a powerful research tool |
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complementary to an ocean model was a major design requirement early |
complementary to an ocean model was a major design requirement early |
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on in the development of the MIT general circulation model (MITgcm) |
on in the development of the MIT general circulation model (MITgcm) |
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Traditionally, probably for historical reasons and the ease of |
Traditionally, probably for historical reasons and the ease of |
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treating the Coriolis term, most standard sea-ice models are |
treating the Coriolis term, most standard sea-ice models are |
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discretized on Arakawa-B-grids \citep[e.g.,][]{hibler79, harder99, |
discretized on Arakawa-B-grids \citep[e.g.,][]{hibler79, harder99, |
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kreyscher00, zhang98, hunke97}. From the perspective of coupling a |
kreyscher00, zhang98, hunke97}\ml{, although there are sea ice only |
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sea ice-model to a C-grid ocean model, the exchange of fluxes of heat |
models diretized on a C-grid \citep[e.g.,][]{tremblay97, |
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and fresh-water pose no difficulty for a B-grid sea-ice model |
lemieux09}}. From the perspective of coupling a sea ice-model to a |
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C-grid ocean model, the exchange of fluxes of heat and fresh-water |
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pose no difficulty for a B-grid sea-ice model |
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\citep[e.g.,][]{timmermann02a}. However, surface stress is defined at |
\citep[e.g.,][]{timmermann02a}. However, surface stress is defined at |
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velocities points and thus needs to be interpolated between a B-grid |
velocities points and thus needs to be interpolated between a B-grid |
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sea-ice model and a C-grid ocean model. Smoothing implicitly |
sea-ice model and a C-grid ocean model. Smoothing implicitly |
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eddy-permitting, global ocean and sea-ice configuration; it compares B-grid |
eddy-permitting, global ocean and sea-ice configuration; it compares B-grid |
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and C-grid dynamic solvers in a regional Arctic configuration; and it presents |
and C-grid dynamic solvers in a regional Arctic configuration; and it presents |
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example results from coupled ocean and sea-ice adjoint-model integrations. |
example results from coupled ocean and sea-ice adjoint-model integrations. |
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%%% Local Variables: |
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%%% mode: latex |
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%%% TeX-master: "ceaice" |
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