articles/ceaice/ceaice_abstract.tex

\begin{abstract}

  This paper describes a sea-ice model that has been developed for coupled
  ocean and sea-ice state estimation.  This sea ice model includes both
  forward and adjoint counterparts.  The forward model borrows many components
  from current-generation sea ice models but these components are reformulated
  on an Arakawa C grid in order to match the MITgcm oceanic grid and they are
  modified in many ways to permit efficient and accurate automatic
  differentiation. 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, several different formulation of ice-ocean stress, and the option
  to use sophisticated conservative advection schemes with flux limiting.

  This paper illustrates the utilization of the forward and adjoint
  counterparts via exploration of forward and adjoint model sensitivities to
  littoral interactions in the Canadian Arctic Archipelago.  [SOME CONCLUSIONS
  TO BE ADDED HERE.]

\end{abstract}
1	dimitri	1.1	\begin{abstract}
2
3	dimitri	1.3	This paper describes a sea-ice model that has been developed for coupled
4			ocean and sea-ice state estimation. This sea ice model includes both
5			forward and adjoint counterparts. The forward model borrows many components
6			from current-generation sea ice models but these components are reformulated
7			on an Arakawa C grid in order to match the MITgcm oceanic grid and they are
8			modified in many ways to permit efficient and accurate automatic
9			differentiation. Ice mechanics follow a viscous-plastic rheology and the ice
10			momentum equations are solved numerically using either
11			line-successive-relaxation (LSR) or elastic-viscous-plastic (EVP) dynamic
12			models. Ice thermodynamics are represented using either a
13			zero-heat-capacity formulation or a two-layer formulation that conserves
14			enthalpy. The model includes prognostic variables for snow and for sea-ice
15			salinity, several different formulation of ice-ocean stress, and the option
16			to use sophisticated conservative advection schemes with flux limiting.
17
18			This paper illustrates the utilization of the forward and adjoint
19			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	dimitri	1.1
23			\end{abstract}