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1  \begin{abstract}  \begin{abstract}
2    
3  As part of ongoing efforts to obtain a best possible synthesis of most    This paper describes a sea-ice model that has been developed for coupled
4  available, global-scale, ocean and sea ice data, a dynamic and thermodynamic    ocean and sea-ice state estimation.  This sea ice model includes both
5  sea-ice model has been coupled to the Massachusetts Institute of Technology    forward and adjoint counterparts.  The forward model borrows many components
6  general circulation model (MITgcm).  Ice mechanics follow a viscous plastic    from current-generation sea ice models but these components are reformulated
7  rheology and the ice momentum equations are solved numerically using either    on an Arakawa C grid in order to match the MITgcm oceanic grid and they are
8  line successive relaxation (LSR) or elastic-viscous-plastic (EVP) dynamic    modified in many ways to permit efficient and accurate automatic
9  models.  Ice thermodynamics are represented using either a zero-heat-capacity    differentiation. Ice mechanics follow a viscous-plastic rheology and the ice
10  formulation or a two-layer formulation that conserves enthalpy.  The model    momentum equations are solved numerically using either
11  includes prognostic variables for snow and for sea-ice salinity.  The above    line-successive-relaxation (LSR) or elastic-viscous-plastic (EVP) dynamic
12  sea ice model components were borrowed from current-generation climate models    models.  Ice thermodynamics are represented using either a
13  but they were reformulated on an Arakawa C-grid in order to match the MITgcm    zero-heat-capacity formulation or a two-layer formulation that conserves
14  oceanic grid and they were modified in many ways to permit efficient and    enthalpy.  The model includes prognostic variables for snow and for sea-ice
15  accurate automatic differentiation.  This paper describes the MITgcm sea ice    salinity, several different formulation of ice-ocean stress, and the option
16  model; it presents example Arctic and Antarctic results from a realistic,    to use sophisticated conservative advection schemes with flux limiting.
17  eddy-permitting, global ocean and sea-ice configuration; it compares B-grid  
18  and C-grid dynamic solvers in a regional Arctic configuration; and it presents    This paper illustrates the utilization of the forward and adjoint
19  example results from coupled ocean and sea-ice adjoint-model integrations.    counterparts via exploration of forward and adjoint model sensitivities to
20      littoral interactions in the Canadian Arctic Archipelago.  [SOME CONCLUSIONS
21      TO BE ADDED HERE.]
22    
23  \end{abstract}  \end{abstract}

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