ceaice_split_version/ceaice_part1/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-over-relaxation (LSOR) 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;
and it compares B-grid and C-grid dynamic solvers in a regional Arctic
configuration.

\end{abstract}
1	heimbach	1.1	\begin{abstract}
2
3	mlosch	1.2	As part of an ongoing effort to obtain a best possible, time-evolving
4			analysis of most available ocean and sea ice data, a dynamic and
5			thermodynamic sea-ice model has been coupled to the Massachusetts
6			Institute of Technology general circulation model (MITgcm). Ice
7			mechanics follow a viscous-plastic rheology and the ice momentum
8			equations are solved numerically using either
9			line-successive-over-relaxation (LSOR) or elastic-viscous-plastic
10			(EVP) dynamic models. Ice thermodynamics are represented using either
11			a zero-heat-capacity formulation or a two-layer formulation that
12			conserves enthalpy. The model includes prognostic variables for snow
13			and for sea-ice salinity. The above sea ice model components were
14			borrowed from current-generation climate models but they were
15			reformulated on an Arakawa C grid in order to match the MITgcm oceanic
16			grid and they were modified in many ways to permit efficient and
17			accurate automatic differentiation. This paper describes the MITgcm
18			sea-ice model; it presents example Arctic and Antarctic results from a
19			realistic, eddy-permitting, global ocean and sea-ice configuration;
20			and it compares B-grid and C-grid dynamic solvers in a regional Arctic
21			configuration.
22	heimbach	1.1
23			\end{abstract}