articles/ceaice/ceaice_abstract.tex

\begin{abstract}

As part of an ongoing effort to obtain a best possible, time-evolving analysis
of most
available 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	dimitri	1.2	As part of an ongoing effort to obtain a best possible, time-evolving analysis
4			of most
5			available ocean and sea ice data, a dynamic and thermodynamic
6	dimitri	1.1	sea-ice model has been coupled to the Massachusetts Institute of Technology
7	dimitri	1.2	general circulation model (MITgcm). Ice mechanics follow a viscous-plastic
8	dimitri	1.1	rheology and the ice momentum equations are solved numerically using either
9	dimitri	1.2	line-successive-relaxation (LSR) or elastic-viscous-plastic (EVP) dynamic
10	dimitri	1.1	models. Ice thermodynamics are represented using either a zero-heat-capacity
11			formulation or a two-layer formulation that conserves enthalpy. The model
12			includes prognostic variables for snow and for sea-ice salinity. The above
13			sea ice model components were borrowed from current-generation climate models
14	dimitri	1.2	but they were reformulated on an Arakawa C grid in order to match the MITgcm
15	dimitri	1.1	oceanic grid and they were modified in many ways to permit efficient and
16			accurate automatic differentiation. This paper describes the MITgcm sea ice
17			model; it presents example Arctic and Antarctic results from a realistic,
18			eddy-permitting, global ocean and sea-ice configuration; it compares B-grid
19			and C-grid dynamic solvers in a regional Arctic configuration; and it presents
20			example results from coupled ocean and sea-ice adjoint-model integrations.
21
22			\end{abstract}