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, eddying, global ocean and sea ice configuration;
and it compares B-grid and C-grid dynamic solvers and other
numerical details of the parameterized dynamics and thermodynamics in a
regional Arctic
configuration. The choice of the dynamic solver has a considerable
effect on the solution; this effect can be larger than, for example,
the choice of lateral boundary conditions, of ice rheology, and of
ice-ocean stress coupling. The solutions obtained with different
dynamic solvers typically differ
by 4\,cm\,s$^{-1}$ in ice drift speeds, 1\,m in ice thickness, and
order 300\,km$^3$\,yr$^{-1}$ in fresh water (ice and snow) export
out of the Arctic.

\end{abstract}

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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	dimitri	1.6	thermodynamic sea ice model has been coupled to the Massachusetts
6	mlosch	1.2	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	dimitri	1.6	and for sea ice salinity. The above sea ice model components were
14	mlosch	1.2	borrowed from current-generation climate models but they were
15	mlosch	1.3	reformulated on an Arakawa~C grid in order to match the MITgcm oceanic
16	mlosch	1.2	grid and they were modified in many ways to permit efficient and
17			accurate automatic differentiation. This paper describes the MITgcm
18	dimitri	1.6	sea ice model; it presents example Arctic and Antarctic results from a
19			realistic, eddying, global ocean and sea ice configuration;
20	dimitri	1.4	and it compares B-grid and C-grid dynamic solvers and other
21	dimitri	1.7	numerical details of the parameterized dynamics and thermodynamics in a
22			regional Arctic
23	mlosch	1.3	configuration. The choice of the dynamic solver has a considerable
24			effect on the solution; this effect can be larger than, for example,
25	dimitri	1.4	the choice of lateral boundary conditions, of ice rheology, and of
26	mlosch	1.3	ice-ocean stress coupling. The solutions obtained with different
27	mlosch	1.5	dynamic solvers typically differ
28			by 4\,cm\,s$^{-1}$ in ice drift speeds, 1\,m in ice thickness, and
29	dimitri	1.6	order 300\,km$^3$\,yr$^{-1}$ in fresh water (ice and snow) export
30	mlosch	1.3	out of the Arctic.
31	heimbach	1.1
32			\end{abstract}
33	mlosch	1.3
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