articles/ceaice/ceaice_abstract.tex

\begin{abstract}

As part of ongoing efforts to obtain a best possible synthesis of most
available, global-scale, ocean and sea ice data, a dynamic and thermodynamic
sea-ice model has been coupled to the Massachusetts Institute of Technology
general circulation model (MITgcm).  Ice mechanics follow a viscous plastic
rheology and the ice momentum equations are solved numerically using either
line successive relaxation (LSR) or elastic-viscous-plastic (EVP) dynamic
models.  Ice thermodynamics are represented using either a zero-heat-capacity
formulation or a two-layer formulation that conserves enthalpy.  The model
includes prognostic variables for snow and for sea-ice salinity.  The above
sea ice model components were borrowed from current-generation climate models
but they were reformulated on an Arakawa C-grid in order to match the MITgcm
oceanic grid and they were modified in many ways to permit efficient and
accurate automatic differentiation.  This paper describes the MITgcm sea ice
model; it presents example Arctic and Antarctic results from a realistic,
eddy-permitting, global ocean and sea-ice configuration; it compares B-grid
and C-grid dynamic solvers in a regional Arctic configuration; and it presents
example results from coupled ocean and sea-ice adjoint-model integrations.

\end{abstract}
1	dimitri	1.1	\begin{abstract}
2
3			As part of ongoing efforts to obtain a best possible synthesis of most
4			available, global-scale, ocean and sea ice data, a dynamic and thermodynamic
5			sea-ice model has been coupled to the Massachusetts Institute of Technology
6			general circulation model (MITgcm). Ice mechanics follow a viscous plastic
7			rheology and the ice momentum equations are solved numerically using either
8			line successive relaxation (LSR) or elastic-viscous-plastic (EVP) dynamic
9			models. Ice thermodynamics are represented using either a zero-heat-capacity
10			formulation or a two-layer formulation that conserves enthalpy. The model
11			includes prognostic variables for snow and for sea-ice salinity. The above
12			sea ice model components were borrowed from current-generation climate models
13			but they were reformulated on an Arakawa C-grid in order to match the MITgcm
14			oceanic grid and they were modified in many ways to permit efficient and
15			accurate automatic differentiation. This paper describes the MITgcm sea ice
16			model; it presents example Arctic and Antarctic results from a realistic,
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
19			example results from coupled ocean and sea-ice adjoint-model integrations.
20
21			\end{abstract}