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--- MITgcm_contrib/articles/ceaice/ceaice_concl.tex	2008/02/26 19:27:26	1.1
+++ MITgcm_contrib/articles/ceaice/ceaice_concl.tex	2008/06/04 13:29:45	1.2
@@ -1,16 +1,27 @@
 \section{Discussion and conclusion}
 \label{sec:concl}
 
-The story of the paper could be:
-B-grid ice model + C-grid ocean model does not work properly for us,
-therefore C-grid ice model  with advantages: 
-\begin{enumerate}
-\item stress coupling simpler (no interpolation required)
-\item different boundary conditions
-\item advection schemes carry over trivially from main code
-\end{enumerate}
-LSR/EVP solutions are similar with appropriate bcs, evp parameters as
-a function of forcing time scale (when does VP solution break
-down). Same for LSR solver, provided that it works (o: 
-Which scheme is more efficient for the resolution/time stepping
-parameters that we use here. What about other resolutions?
+Recommendations
+\begin{itemize}
+\item use the LSOR or another implicit solver, because EVP tends to
+  have too weak ice, and is much slower for the recommended time step
+  choices ($\frac{1}{120}$ of the model time step). Linearization does
+  not appear to be an issue for the short time steps used in this
+  study ($\Delta{t} = 20\text{\,min}$), and the LSOR-solver converges
+  quickly (only a few iterations) at each time step, because the
+  forcing changes only slowly within 20\,min.
+\item thermodynamics appears to thave the second largest effect (after
+  EVP vs.\ LSOR)
+\item use a flux limited scheme without explicit diffusion for
+  advecting thermodynamic variables
+\item use no slip boundary conditions, they make more sense
+\item TEM has little effect on the solution, other rheologies that
+  differ more from the elliptic yield curve may have bigger effects
+\item the effects of \citet{hibler87}'s stress formulation on both ice
+  and ocean model need further exploration
+\end{itemize}
+
+%%% Local Variables: 
+%%% mode: latex
+%%% TeX-master: "ceaice"
+%%% End: