--- MITgcm_contrib/articles/ceaice/ceaice_abstract.tex	2008/06/28 15:44:39	1.2
+++ MITgcm_contrib/articles/ceaice/ceaice_abstract.tex	2008/08/14 16:12:41	1.3
@@ -1,22 +1,23 @@
 \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.
+  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}