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revision 1.8 by dimitri, Fri Feb 29 01:28:05 2008 UTC revision 1.16 by dimitri, Wed Jun 4 00:39:25 2008 UTC
# Line 6  ice simulations that exercise various ca Line 6  ice simulations that exercise various ca
6  model.  The first set of results is from a global, eddy-permitting, ocean and  model.  The first set of results is from a global, eddy-permitting, ocean and
7  sea ice configuration.  The second set of results is from a regional Arctic  sea ice configuration.  The second set of results is from a regional Arctic
8  configuration, which is used to compare the B-grid and C-grid dynamic solvers  configuration, which is used to compare the B-grid and C-grid dynamic solvers
9  and various other capabilities of the MITgcm sea ice model.  The third set of  and various other capabilities of the MITgcm sea ice model.
 results is from a yet smaller regional domain, which is used to illustrate  
 treatment of sea ice open boundary condition sin the MITgcm.  
10    
11  \subsection{Global Ocean and Sea Ice Simulation}  \subsection{Global Ocean and Sea Ice Simulation}
12  \label{sec:global}  \label{sec:global}
# Line 26  relatively even grid spacing throughout Line 24  relatively even grid spacing throughout
24  singularities \citep{adcroft04:_cubed_sphere}. Each face of the cube comprises  singularities \citep{adcroft04:_cubed_sphere}. Each face of the cube comprises
25  510 by 510 grid cells for a mean horizontal grid spacing of 18 km. There are  510 by 510 grid cells for a mean horizontal grid spacing of 18 km. There are
26  50 vertical levels ranging in thickness from 10 m near the surface to  50 vertical levels ranging in thickness from 10 m near the surface to
27  approximately 450 m at a maximum model depth of 6150 m. Bathymetry is from the  approximately 450 m at a maximum model depth of 6150 m. The model employs the
28  National Geophysical Data Center (NGDC) 2-minute gridded global relief data  partial-cell formulation of
 (ETOPO2) and the model employs the partial-cell formulation of  
29  \citet{adcroft97:_shaved_cells}, which permits accurate representation of the  \citet{adcroft97:_shaved_cells}, which permits accurate representation of the
30  bathymetry. The model is integrated in a volume-conserving configuration using  bathymetry. Bathymetry is from the S2004 (Smith, unpublished) blend of the
31    \citet{smi97} and the General Bathymetric Charts of the Oceans (GEBCO) one
32    arc-minute bathymetric grid (see Fig.~\ref{fig:CubeBathymetry}).
33    The model is integrated in a volume-conserving configuration using
34  a finite volume discretization with C-grid staggering of the prognostic  a finite volume discretization with C-grid staggering of the prognostic
35  variables. In the ocean, the non-linear equation of state of \citet{jac95} is  variables. In the ocean, the non-linear equation of state of \citet{jac95} is
36  used.  used.
37    
38    \begin{figure}[h]
39      \centering
40      \includegraphics[width=\textwidth]{\fpath/CubeBathymetry}
41      \caption{Bathymetry of the global cubed sphere model configuration.  The
42        solid lines indicate domain boundaries for the regional Arctic
43        configuration discussed in Section~\ref{sec:arctic}.}
44      \label{fig:CubeBathymetry}
45    \end{figure}
46    
47  The ocean model is coupled to the sea-ice model discussed in  The ocean model is coupled to the sea-ice model discussed in
48  Section~\ref{sec:model} using the following specific options.  The  \refsec{model} using the following specific options.  The
49  zero-heat-capacity thermodynamics formulation of \citet{hib80} is used to  zero-heat-capacity thermodynamics formulation of \citet{hibler80} is
50  compute sea ice thickness and concentration.  Snow cover and sea ice salinity  used to compute sea ice thickness and concentration.  Snow cover and
51  are prognostic.  Open water, dry ice, wet ice, dry snow, and wet snow albedo  sea ice salinity are prognostic.  Open water, dry ice, wet ice, dry
52  are, respectively, 0.15, 0.88, 0.79, 0.97, and 0.83. Ice mechanics follow the  snow, and wet snow albedo are, respectively, 0.15, 0.88, 0.79, 0.97,
53  viscous plastic rheology of \citet{hibler79} and the ice momentum equation is  and 0.83. Ice mechanics follow the viscous plastic rheology of
54  solved numerically using the C-grid implementation of the \citet{zhang97} LSR  \citet{hibler79} and the ice momentum equation is solved numerically
55  dynamics model discussed hereinabove.  The ice is coupled to the ocean using  using the C-grid implementation of the \citet{zhang97}'s LSOR dynamics
56  the rescaled vertical coordinate system, z$^\ast$, of  model discussed hereinabove.  The ice is coupled to the ocean using
57  \citet{cam08}, that is, sea ice does not float above the ocean model but  the rescaled vertical coordinate system, z$^\ast$, of \citet{cam08},
58  rather deforms the ocean's model surface level.  that is, sea ice does not float above the ocean model but rather
59    deforms the ocean's model surface level.
60    
61  This particular ECCO2 simulation is initialized from temperature and salinity  This particular ECCO2 simulation is initialized from temperature and salinity
62  fields derived from the Polar science center Hydrographic Climatology (PHC)  fields derived from the Polar science center Hydrographic Climatology (PHC)
# Line 62  radiations, and precipitation are conver Line 72  radiations, and precipitation are conver
72  stress fluxes using the \citet{large81,large82} bulk formulae.  Shortwave  stress fluxes using the \citet{large81,large82} bulk formulae.  Shortwave
73  radiation decays exponentially as per \citet{pau77}.  Low frequency  radiation decays exponentially as per \citet{pau77}.  Low frequency
74  precipitation has been adjusted using the pentad (5-day) data from the Global  precipitation has been adjusted using the pentad (5-day) data from the Global
75  Precipitation Climatology Project (GPCP) \citep{huf01}.  The time-mean river  Precipitation Climatology Project \citep[GPCP][]{huf01}.  The time-mean river
76  run-off from \citet{lar01} is applied globally, except in the Arctic Ocean  run-off from \citet{lar01} is applied globally, except in the Arctic Ocean
77  where monthly mean river runoff based on the Arctic Runoff Data Base (ARDB)  where monthly mean river runoff based on the Arctic Runoff Data Base (ARDB)
78  and prepared by P. Winsor (personnal communication, 2007) is specificied.  and prepared by P. Winsor (personnal communication, 2007) is specificied.
# Line 81  advection scheme \citep{dar04} is employ Line 91  advection scheme \citep{dar04} is employ
91  diffusivity.  Horizontal viscosity follows \citet{lei96} but modified to sense  diffusivity.  Horizontal viscosity follows \citet{lei96} but modified to sense
92  the divergent flow as per \citet{kem08}.  the divergent flow as per \citet{kem08}.
93    
94    \ml{[Dimitris, here you need to either provide figures, so that I can
95      write text, or you can provide both figures and text. I guess, one
96      figure, showing the northern and southern hemisphere in summer and
97      winter is fine (four panels), as we are showing so many figures in
98      the next section.]}
99    
100    
101  \subsection{Arctic Domain with Open Boundaries}  \subsection{Arctic Domain with Open Boundaries}
102  \label{sec:arctic}  \label{sec:arctic}
103    
104  A series of forward sensitivity experiments have been carried out on an  A series of forward sensitivity experiments have been carried out on
105  Arctic Ocean domain with open boundaries.  The objective is to compare the old  an Arctic Ocean domain with open boundaries.  The objective is to
106  B-grid LSR dynamic solver with the new C-grid LSR and EVP solvers.  One  compare the old B-grid LSR dynamic solver with the new C-grid LSR and
107  additional experiment is carried out to illustrate the differences between the  EVP solvers.  Additional experiments are carried out to illustrate
108  two main options for sea ice thermodynamics in the MITgcm.  the differences between different ice advection schemes, ocean-ice
109    stress formulations and the two main options for sea ice
110  The Arctic domain of integration is illustrated in Fig.~\ref{fig:arctic1}.  It  thermodynamics in the MITgcm.
111  is carved out from, and obtains open boundary conditions from, the global  
112  cubed-sphere configuration described above.  The horizontal domain size is  The Arctic domain of integration is illustrated in
113  420 by 384 grid boxes.  \reffig{arctic_topog}.  It is carved out from, and obtains open
114    boundary conditions from, the global cubed-sphere configuration
115  \begin{figure}  described above.  The horizontal domain size is 420 by 384 grid boxes.
116  %\centerline{{\includegraphics*[width=0.44\linewidth]{\fpath/arctic1}}}  \begin{figure*}
117  \caption{Bathymetry of Arctic Domain.\label{fig:arctic1}}  %\includegraphics*[width=0.44\linewidth,viewport=139 210 496 606,clip]{\fpath/topography}
118    %\includegraphics*[width=0.44\linewidth,viewport=0 0 496 606,clip]{\fpath/topography}
119    \includegraphics*[width=0.44\linewidth]{\fpath/topography}
120    \includegraphics*[width=0.46\linewidth]{\fpath/archipelago}
121    \caption{Left: Bathymetry and domain boudaries of Arctic
122      Domain; the dashed line marks the boundaries of the inset on the
123      right hand side. The letters in the inset label sections in the
124      Canadian Archipelago, where ice transport is evaluated:
125      A: Nares Strait; %
126      B: \ml{Meighen Island}; %
127      C: Prince Gustaf Adolf Sea; %
128      D: \ml{Brock Island}; %
129      E: M'Clure Strait; %
130      F: Amundsen Gulf; %
131      G: Lancaster Sound; %
132      H: Barrow Strait \ml{W.}; %
133      I: Barrow Strait \ml{E.}; %
134      J: Barrow Strait \ml{N.}. %
135      The sections A through F comprise the total inflow into the Canadian
136      Archipelago. \ml{[May still need to check the geography.]}
137      \label{fig:arctic_topog}}
138    \end{figure*}
139    
140    The main dynamic difference from cube sphere is that the Arctic domain
141    configuration does not use rescaled vertical coordinates (z$^\ast$)
142    and the surface boundary conditions for freshwater input are
143    different, because those features are not supported by the open
144    boundary code.
145    %
146    Open water, dry ice, wet ice, dry snow, and wet snow albedo are,
147    respectively, 0.15, 0.85, 0.76, 0.94, and 0.8.
148    
149    The model is integrated from Jan~01, 1992 to Mar~31, 2000,
150    with three different dynamical solvers, two different boundary
151    conditions, different stress coupling, rheology, and advection
152    schemes. \reftab{experiments} gives an overview over the experiments
153    discussed in this section.
154    \begin{table}[htbp]
155      \begin{tabular}{p{.3\linewidth}p{.65\linewidth}}
156        experiment name & description \\ \hline
157        B-LSR-ns       &  the original LSOR solver of \citet{zhang97} on an
158      Arakawa B-grid, implying no-slip lateral boundary conditions
159      ($\vek{u}=0$ exactly) \\
160        C-LSR-ns       &  the LSOR solver discretized on a C-grid with no-slip lateral
161      boundary conditions (implemented via ghost-points) \\
162        C-LSR-fs       &  the LSOR solver on a C-grid with free-slip lateral boundary
163      conditions \\
164        C-EVP-ns       &  the EVP solver of \citet{hunke01} on a C-grid with
165      no-slip lateral boundary conditions and $\Delta{t}_\mathrm{evp} =
166      150\text{\,s}$ \\
167        C-EVP-ns10     &  the EVP solver of \citet{hunke01} on a C-grid with
168      no-slip lateral boundary conditions and $\Delta{t}_\mathrm{evp} =
169      10\text{\,s}$ \\
170        C-LSR-ns HB87  &  C-LSR-ns with ocean-ice stress coupling according
171      to \citet{hibler87}\\
172        C-LSR-ns TEM   &  C-LSR-ns with a truncated ellispe method (TEM)
173      rheology \citep{hibler97} \\
174        C-LSR-ns WTD   &   C-LSR-ns with 3-layer thermodynamics following
175      \citet{winton00} \\
176        C-LSR-ns DST3FL& C-LSR-ns with a third-order flux limited
177      direct-space-time advection scheme for thermodynamic variables
178      \citep{hundsdorfer94}
179      \end{tabular}
180      \caption{Overview over model simulations in \refsec{arctic}.
181        \label{tab:experiments}}
182    \end{table}
183    %\begin{description}
184    %\item[B-LSR-ns:] the original LSOR solver of \citet{zhang97} on an
185    %  Arakawa B-grid, implying no-slip lateral boundary conditions
186    %  ($\vek{u}=0$ exactly);
187    %\item[C-LSR-ns:] the LSOR solver discretized on a C-grid with no-slip lateral
188    %  boundary conditions (implemented via ghost-points);
189    %\item[C-LSR-fs:] the LSOR solver on a C-grid with free-slip lateral boundary
190    %  conditions;
191    %\item[C-EVP-ns:] the EVP solver of \citet{hunke01} on a C-grid with
192    %  no-slip lateral boundary conditions and $\Delta{t}_\mathrm{evp} =
193    %  150\text{\,s}$;
194    %\item[C-EVP-fs:] the EVP solver on a C-grid with free-slip lateral
195    %  boundary conditions  and $\Delta{t}_\mathrm{evp} = 150\text{\,s}$;
196    %\item[C-LSR-ns DST3FL:] C-LSR-ns with a third-order flux limited
197    %  direct-space-time advection scheme \citep{hundsdorfer94};
198    %\item[C-LSR-ns TEM:] C-LSR-ns with a truncated ellispe method (TEM)
199    %  rheology \citep{hibler97};
200    %\item[C-LSR-ns HB87:] C-LSR-ns with ocean-ice stress coupling according
201    %  to \citet{hibler87};
202    %\item[C-LSR-ns WTD:] C-LSR-ns with 3-layer thermodynamics following
203    %  \citet{winton00};
204    %%\item[C-EVP-ns damp:] C-EVP-ns with additional damping to reduce small
205    %%  scale noise \citep{hunke01};
206    %\item[C-EVP-ns10:] the EVP solver of \citet{hunke01} on a C-grid with
207    %  no-slip lateral boundary conditions and $\Delta{t}_\mathrm{evp} =
208    %  10\text{\,s}$.
209    %\end{description}
210    Both LSOR and EVP solvers solve the same viscous-plastic rheology, so
211    that differences between runs B-LSR-ns, C-LSR-ns, and C-EVP-ns can be
212    interpreted as pure model error. Lateral boundary conditions on a
213    coarse grid (coarse compared to the roughness of the true coast line) are
214    unclear, so that comparing the no-slip solutions to the free-slip
215    solutions gives another measure of uncertainty in sea ice modeling.
216    The remaining experiments explore further sensitivities of the system
217    to different physics (change in rheology, advection and diffusion
218    properties, stress coupling, and thermodynamics) and different time
219    steps for the EVP solutions: \citet{hunke01} uses 120 subcycling steps
220    for the EVP solution. We use two interpretations of this choice where
221    the EVP model is subcycled 120 times within a (short) model timestep
222    of 1200\,s resulting in a very long and expensive integration
223    ($\Delta{t}_\mathrm{evp}=10\text{\,s}$) and 120 times within the
224    forcing timescale of 6\,h ($\Delta{t}_\mathrm{evp}=150\text{\,s}$).
225    
226    A principle difficulty in comparing the solutions obtained with
227    different realizations of the model dynamics lies in the non-linear
228    feedback of the ice dynamics and thermodynamics. Already after a few
229    months the solutions have diverged so far from each other that
230    comparing velocities only makes sense within the first 3~months of the
231    integration while the ice distribution is still close to the initial
232    conditions. At the end of the integration, the differences between the
233    model solutions can be interpreted as cumulated model uncertainties.
234    
235    \reffig{iceveloc} shows ice velocities averaged over Janunary,
236    February, and March (JFM) of 1992 for the C-LSR-ns solution; also
237    shown are the differences between B-grid and C-grid, LSR and EVP, and
238    no-slip and free-slip solution. The velocity field of the C-LSR-ns
239    solution (\reffig{iceveloc}a) roughly resembles the drift velocities
240    of some of the AOMIP (Arctic Ocean Model Intercomparison Project)
241    models in a cyclonic circulation regime (CCR) \citep[their
242    Figure\,6]{martin07} with a Beaufort Gyre and a transpolar drift
243    shifted eastwards towards Alaska.
244    
245    The difference beween runs C-LSR-ns and B-LSR-ns (\reffig{iceveloc}b)
246    is most pronounced along the coastlines, where the discretization
247    differs most between B and C-grids: On a B-grid the tangential
248    velocity lies on the boundary (and is thus zero through the no-slip
249    boundary conditions), whereas on the C-grid it is half a cell width
250    away from the boundary, thus allowing more flow. The B-LSR-ns solution
251    has less ice drift through the Fram Strait and especially the along
252    Greenland's east coast; also, the flow through Baffin Bay and Davis
253    Strait into the Labrador Sea is reduced with respect the C-LSR-ns
254    solution.  \ml{[Do we expect this? Say something about that]}
255    %
256    Compared to the differences between B and C-grid solutions,the
257    C-LSR-fs ice drift field differs much less from the C-LSR-ns solution
258    (\reffig{iceveloc}c).  As expected the differences are largest along
259    coastlines: because of the free-slip boundary conditions, flow is
260    faster in the C-LSR-fs solution, for example, along the east coast
261    of Greenland, the north coast of Alaska, and the east Coast of Baffin
262    Island.
263    %\newcommand{\subplotwidth}{0.44\textwidth}
264    \newcommand{\subplotwidth}{0.3\textwidth}
265    \begin{figure}[htbp]
266      \centering
267      \subfigure[{\footnotesize C-LSR-ns}]
268      {\includegraphics[width=\subplotwidth]{\fpath/JFMuv_C-LSR-ns}}
269      \subfigure[{\footnotesize B-LSR-ns $-$ C-LSR-ns}]
270      {\includegraphics[width=\subplotwidth]{\fpath/JFMuv_B-LSR-ns-C-LSR-ns}}
271      \\
272      \subfigure[{\footnotesize C-LSR-fs $-$ C-LSR-ns}]
273      {\includegraphics[width=\subplotwidth]{\fpath/JFMuv_C-LSR-fs-C-LSR-ns}}
274      \subfigure[{\footnotesize C-EVP-ns $-$ C-LSR-ns}]
275      {\includegraphics[width=\subplotwidth]{\fpath/JFMuv_C-EVP-ns150-C-LSR-ns}}
276      \\
277      \subfigure[{\footnotesize C-LSR-ns TEM $-$ C-LSR-ns}]
278      {\includegraphics[width=\subplotwidth]{\fpath/JFMuv_TEM-C-LSR-ns}}
279      \subfigure[{\footnotesize C-LSR-ns HB87 $-$ C-LSR-ns}]
280      {\includegraphics[width=\subplotwidth]{\fpath/JFMuv_HB87-C-LSR-ns}}
281      \\
282      \subfigure[{\footnotesize  C-LSR-ns WTD $-$ C-LSR-ns}]
283      {\includegraphics[width=\subplotwidth]{\fpath/JFMuv_ThSIce-C-LSR-ns}}
284      \subfigure[{\footnotesize C-LSR-ns DST3FL $-$ C-LSR-ns}]
285      {\includegraphics[width=\subplotwidth]{\fpath/JFMuv_adv33-C-LSR-ns}}
286      \caption{(a) Ice drift velocity of the C-LSR-ns solution averaged
287        over the first 3 months of integration [cm/s]; (b)-(h) difference
288        between solutions with B-grid, free lateral slip, EVP-solver,
289        truncated ellipse method (TEM), different ice-ocean stress
290        formulation (HB87), different thermodynamics (WTD), different
291        advection for thermodynamic variables (DST3FL) and the C-LSR-ns
292        reference solution [cm/s]; color indicates speed (or differences
293        of speed), vectors indicate direction only.}
294      \label{fig:iceveloc}
295  \end{figure}  \end{figure}
296    
297  Difference from cube sphere is that it does not use z* coordinates nor  The C-EVP-ns solution with $\Delta{t}_\mathrm{evp}=150\text{\,s}$ is
298  realfreshwater fluxes because it is not supported by open boundary code.  very different from the C-LSR-ns solution (\reffig{iceveloc}d). The
299    EVP-approximation of the VP-dynamics allows for increased drift by
300  Open water, dry  over 2\,cm/s in the Beaufort Gyre and the transarctic drift.
301  ice, wet ice, dry snow, and wet snow albedo are, respectively, 0.15, 0.85,  %\ml{Also the Beaufort Gyre is moved towards Alaska in the C-EVP-ns
302  0.76, 0.94, and 0.8.  %solution. [Really?, No]}
303    In general, drift velocities are biased towards higher values in the
304  \begin{itemize}  EVP solutions.
305  \item Configuration  % as can be seen from a histogram of the differences in
306  \item OBCS from cube  %\reffig{drifthist}.
307  \item forcing  %\begin{figure}[htbp]
308  \item 1/2 and full resolution  %  \centering
309  \item with a few JFM figs from C-grid LSR no slip  %  \includegraphics[width=\textwidth]{\fpath/drifthist_C-EVP-ns-C-LSR-ns}
310    ice transport through Canadian Archipelago  %  \caption{Histogram of drift velocity differences for C-LSR-ns and
311    thickness distribution  %    C-EVP-ns solution [cm/s].}
312    ice velocity and transport  %  \label{fig:drifthist}
313  \end{itemize}  %\end{figure}
314    
315  \begin{itemize}  \reffig{icethick}a shows the effective thickness (volume per unit
316  \item Arctic configuration  area) of the C-LSR-ns solution, averaged over January, February, March
317  \item ice transport through straits and near boundaries  of year 2000. By this time of the integration, the differences in the
318  \item focus on narrow straits in the Canadian Archipelago  ice drift velocities have led to the evolution of very different ice
319  \end{itemize}  thickness distributions, which are shown in \reffig{icethick}b--d, and
320    concentrations (not shown).
321  \begin{itemize}  \begin{figure}[htbp]
322  \item B-grid LSR no-slip    \centering
323  \item C-grid LSR no-slip    \subfigure[{\footnotesize C-LSR-ns}]
324  \item C-grid LSR slip    {\includegraphics[width=\subplotwidth]{\fpath/JFMheff2000_C-LSR-ns}}
325  \item C-grid EVP no-slip    \subfigure[{\footnotesize B-LSR-ns $-$ C-LSR-ns}]
326  \item C-grid EVP slip    {\includegraphics[width=\subplotwidth]{\fpath/JFMheff2000_B-LSR-ns-C-LSR-ns}}
327  \item C-grid LSR + TEM (truncated ellipse method, no tensile stress, new flag)    \\
328  \item C-grid LSR no-slip + Winton    \subfigure[{\footnotesize C-LSR-fs $-$ C-LSR-ns}]
329  \item  speed-performance-accuracy (small)    {\includegraphics[width=\subplotwidth]{\fpath/JFMheff2000_C-LSR-fs-C-LSR-ns}}
330    ice transport through Canadian Archipelago differences    \subfigure[{\footnotesize C-EVP-ns $-$ C-LSR-ns}]
331    thickness distribution differences    {\includegraphics[width=\subplotwidth]{\fpath/JFMheff2000_C-EVP-ns150-C-LSR-ns}}
332    ice velocity and transport differences    \\
333  \end{itemize}    \subfigure[{\footnotesize C-LSR-ns TEM $-$ C-LSR-ns}]
334      {\includegraphics[width=\subplotwidth]{\fpath/JFMheff2000_TEM-C-LSR-ns}}
335  We anticipate small differences between the different models due to:    \subfigure[{\footnotesize C-EVP-ns HB87 $-$ C-LSR-ns}]
336  \begin{itemize}    {\includegraphics[width=\subplotwidth]{\fpath/JFMheff2000_HB87-C-LSR-ns}}
337  \item advection schemes: along the ice-edge and regions with large    \\
338    gradients    \subfigure[{\footnotesize C-LSR-ns WTD $-$ C-LSR-ns}]
339  \item C-grid: less transport through narrow straits for no slip    {\includegraphics[width=\subplotwidth]{\fpath/JFMheff2000_ThSIce-C-LSR-ns}}
340    conditons, more for free slip    \subfigure[{\footnotesize C-EVP-ns DST3FL $-$ C-LSR-ns}]
341  \item VP vs.\ EVP: speed performance, accuracy?    {\includegraphics[width=\subplotwidth]{\fpath/JFMheff2000_adv33-C-LSR-ns}}
342  \item ocean stress: different water mass properties beneath the ice    \caption{(a) Effective thickness (volume per unit area) of the
343  \end{itemize}      C-LSR-ns solution, averaged over the months Janurary through March
344        2000 [m]; (b)-(d) difference between solutions with B-grid, free
345  \begin{figure}      lateral slip, EVP-solver, truncated ellipse method (TEM),
346  \centerline{{\includegraphics*[width=0.6\linewidth]{\fpath/JFM1992uvice}}}      different ice-ocean stress formulation (HB87), different
347  \caption{Surface sea ice velocity for different solver flavors.      thermodynamics (WTD), different advection for thermodynamic
348  \label{fig:iceveloc}}      variables (DST3FL) and the C-LSR-ns reference solution [m].}
349      \label{fig:icethick}
350  \end{figure}  \end{figure}
351    %
352    The generally weaker ice drift velocities in the B-LSR-ns solution,
353    when compared to the C-LSR-ns solution, in particular through the
354    narrow passages in the Canadian Archipelago, lead to a larger build-up
355    of ice north of Greenland and the Archipelago by 2\,m effective
356    thickness and more in the B-grid solution (\reffig{icethick}b). But
357    the ice volume in not larger everywhere: further west, there are
358    patches of smaller ice volume in the B-grid solution, most likely
359    because the Beaufort Gyre is weaker and hence not as effective in
360    transporting ice westwards. There are also dipoles of ice volume
361    differences with more ice on the upstream side of island groups and
362    less ice in their lee, such as Franz-Josef-Land and
363    Severnaya Semlya\ml{/or Nordland?},
364    because ice tends to flow along coasts less easily in the B-LSR-ns
365    solution.
366    
367    Imposing a free-slip boundary condition in C-LSR-fs leads to a much
368    smaller differences to C-LSR-ns in the central Arctic than the
369    transition from the B-grid to the C-grid (\reffig{icethick}c), except
370    in the Canadian Archipelago. There it reduces the effective ice
371    thickness by 2\,m and more where the ice is thick and the straits are
372    narrow.  Dipoles of ice thickness differences can also be observed
373    around islands, because the free-slip solution allows more flow around
374    islands than the no-slip solution.  Everywhere else the ice volume is
375    affected only slightly by the different boundary condition.
376    %
377    The C-EVP-ns solution has generally stronger drift velocities than the
378    C-LSR-ns solution. Consequently, more ice can be moved from the
379    eastern part of the Arctic, where ice volumes are smaller, to the
380    western Arctic (\reffig{icethick}d). Within the Canadian Archipelago,
381    more drift leads to faster ice export and reduced effective ice
382    thickness. With a shorter time step of
383    $\Delta{t}_\mathrm{evp}=10\text{\,s}$ the EVP solution seems to
384    converge to the LSOR solution (not shown). Only in the narrow straits
385    in the Archipelago the ice thickness is not affected by the shorter
386    time step and the ice is still thinner by 2\,m and more, as in the EVP
387    solution with $\Delta{t}_\mathrm{evp}=150\text{\,s}$.
388    
389    The observed difference of order 2\,m and less are smaller than the
390    differences that were observed between different hindcast and climate
391    models in \citet{gerdes07}. There the range of sea ice volume of
392    different sea ice-ocean models (which shared very similar forcing
393    fields) was on the order of $10,000\text{km$^{3}$}$; this range was
394    even larger for coupled climate models. Here, the range (and the
395    averaging period) is smaller than $4,000\text{km$^{3}$}$ except for
396    the run \mbox{C-LSR-ns~WTD} where the more complicated thermodynamics
397    leads to generally thicker ice (\reffig{icethick} and
398    \reftab{icevolume}).
399    \begin{table}[htbp]
400      \begin{tabular}{lr@{\hspace{5ex}}r@{$\pm$}rr@{$\pm$}rr@{$\pm$}r}
401        model run & ice volume
402        & \multicolumn{6}{c}{ice transport [$\text{flux$\pm$ std.,
403            km$^{3}$\,y$^{-1}$}$]}\\
404        & [$\text{km$^{3}$}$]
405        & \multicolumn{2}{c}{FS}
406        & \multicolumn{2}{c}{NI}
407        & \multicolumn{2}{c}{LS} \\ \hline
408        B-LSR-ns       & 23,824 & 2126 & 1278 &   34 &  122 &   43 &   76 \\
409        C-LSR-ns       & 24,769 & 2196 & 1253 &   70 &  224 &   77 &  110 \\
410        C-LSR-fs       & 23,286 & 2236 & 1289 &   80 &  276 &   91 &   85 \\
411        C-EVP-ns       & 27,056 & 3050 & 1652 &  352 &  735 &  256 &  151 \\
412        C-EVP-ns10     & 22,633 & 2174 & 1260 &  186 &  496 &  133 &  128 \\
413        C-LSR-ns HB87  & 23,060 & 2256 & 1327 &   64 &  230 &   77 &  114 \\
414        C-LSR-ns TEM   & 23,529 & 2222 & 1258 &   60 &  242 &   87 &  112 \\
415        C-LSR-ns WTD   & 31,634 & 2761 & 1563 &   23 &  140 &   94 &   63 \\
416        C-LSR-ns DST3FL& 24,023 & 2191 & 1261 &   88 &  251 &   84 &  129
417      \end{tabular}
418      \caption{Arctic ice volume averaged over Jan--Mar 2000, in
419        $\text{km$^{3}$}$. Mean ice transport and standard deviation for the
420        period Jan 1992 -- Dec 1999 through the Fram Strait (FS), the
421        total northern inflow into the Canadian Archipelago (NI), and the
422        export through Lancaster Sound (LS), in $\text{km$^{3}$\,y$^{-1}$}$.}
423      \label{tab:icevolume}
424    \end{table}
425    
426    The difference in ice volume and ice drift velocities between the
427    different experiments has consequences for the ice transport out of
428    the Arctic. Although by far the most exported ice drifts through the
429    Fram Strait (approximately $2300\pm610\text{\,km$^3$\,y$^{-1}$}$), a
430    considerable amount (order $160\text{\,km$^3$\,y$^{-1}$}$) ice is
431    exported through the Canadian Archipelago \citep[and references
432    therein]{serreze06}. Note, that ice transport estimates are associated
433    with large uncertainties; also note that tuning an Arctic sea
434    ice-ocean model to reproduce observations is not our goal, but we use
435    the published numbers as an orientation.
436    
437    \reffig{archipelago} shows a time series of daily averaged, smoothed
438    with monthly running means, ice transports through various straits in
439    the Canadian Archipelago and the Fram Strait for the different model
440    solutions and \reftab{icevolume} summarizes the time series. The
441    export through Fram Strait agrees with the observations in all model
442    solutions (annual averages range from $2110$ to
443    $2300\text{\,km$^3$\,y$^{-1}$}$, except for \mbox{C-LSR-ns~WTD} with
444    $2760\text{\,km$^3$\,y$^{-1}$}$ and the EVP solution with the long
445    time step of 150\,s with nearly $3000\text{\,km$^3$\,y$^{-1}$}$),
446    while the export through the Candian Archipelago is smaller than
447    generally thought. For example, the ice transport through Lancaster
448    Sound is lower (annual averages are $43$ to
449    $256\text{\,km$^3$\,y$^{-1}$}$) than in \citet{dey81} who estimates an
450    inflow into Baffin Bay of $370$ to $537\text{\,km$^3$\,y$^{-1}$}$, but
451    a flow of only $102$ to $137\text{\,km$^3$\,y$^{-1}$}$ further
452    upstream in Barrow Strait in the 1970ies from satellite images.
453    Generally, the EVP solutions have the highest maximum (export out of
454    the Artic) and lowest minimum (import into the Artic) fluxes as the
455    drift velocities are largest in these solutions.  In the extreme of
456    the Nares Strait, which is only a few grid points wide in our
457    configuration, both B- and C-grid LSOR solvers lead to practically no
458    ice transport, while the C-EVP solutions allow up to
459    $600\text{\,km$^3$\,y$^{-1}$}$ in summer; \citet{tang04} report $300$
460    to $350\text{\,km$^3$\,y$^{-1}$}$.  As as consequence, the import into
461    the Candian Archipelago is larger in all EVP solutions
462    %(range: $539$ to $773\text{\,km$^3$\,y$^{-1}$}$)
463    than in the LSOR solutions.
464    %get the order of magnitude right (range: $132$ to
465    %$165\text{\,km$^3$\,y$^{-1}$}$);
466    The B-LSR-ns solution is even smaller by another factor of two than the
467    C-LSR solutions (an exception is the WTD solution, where larger ice thickness
468    tends to block the transport).
469    %underestimates the ice transport with $34\text{\,km$^3$\,y$^{-1}$}$.
470  \begin{figure}  \begin{figure}
471  \centerline{{\includegraphics*[width=0.6\linewidth]{\fpath/Jan1992xport}}}  %\centerline{{\includegraphics*[width=0.6\linewidth]{\fpath/Jan1992xport}}}
472  \caption{Transport through Canadian Archipelago for different solver flavors.  %\centerline{{\includegraphics*[width=0.6\linewidth]{\fpath/ice_export}}}
473    \centerline{{\includegraphics*[width=\linewidth]{\fpath/ice_export}}}
474    \caption{Transport through Canadian Archipelago for different solver
475      flavors. The letters refer to the labels of the sections in
476      \reffig{arctic_topog}; positive values are flux out of the Arctic;
477      legend abbreviations are explained in \reftab{experiments}.
478  \label{fig:archipelago}}  \label{fig:archipelago}}
479  \end{figure}  \end{figure}
480    
481  \begin{figure}  %\ml{[Transport to narrow straits, area?, more runs, TEM, advection
482  \centerline{{\includegraphics*[width=0.6\linewidth]{\fpath/JFM2000heff}}}  %  schemes, Winton TD, discussion about differences in terms of model
483  \caption{Sea ice thickness for different solver flavors.  %  error? that's tricky as it means refering to Tremblay, thus our ice
484  \label{fig:icethick}}  %  models are all erroneous!]}
485  \end{figure}  
486    In summary, we find that different dynamical solvers can yield very
487    different solutions. In constrast to that, the differences between
488    free-slip and no-slip solutions \emph{with the same solver} are
489    considerably smaller (the difference for the EVP solver is not shown,
490    but similar to that for the LSOR solver). Albeit smaller, the
491    differences between free and no-slip solutions in ice drift can lead
492    to equally large differences in ice volume, especially in the Canadian
493    Archipelago over the integration time. At first, this observation
494    seems counterintuitive, as we expect that the solution
495    \emph{technique} should not affect the \emph{solution} to a higher
496    degree than actually modifying the equations. A more detailed study on
497    these differences is beyond the scope of this paper, but at this point
498    we may speculate, that the large difference between B-grid, C-grid,
499    LSOR, and EVP solutions stem from incomplete convergence of the
500    solvers due to linearization and due to different methods of
501    linearization \citep[and Bruno Tremblay, personal
502    communication]{hunke01}: if the convergence of the non-linear momentum
503    equations is not complete for all linearized solvers, then one can
504    imagine that each solver stops at a different point in velocity-space
505    thus leading to different solutions for the ice drift velocities. If
506    this were true, this tantalizing circumstance would have a dramatic
507    impact on sea-ice modeling in general, and we would need to improve
508    the solution techniques for dynamic sea ice models, most likely at a very
509    high compuational cost (Bruno Tremblay, personal communication). Further,
510    we observe that the EVP solutions tends to produce effectively
511    ``weaker'' ice that yields more easily to stress. The fast response to
512    changing wind was also observed by \citet{hunke99}, their Fig.\,10--12,
513    where the EVP model adjusts quickly to a cyclonic wind pattern, while
514    the LSOR solution does not. This property of the EVP solutions allows
515    larger ice transports through narrow straits, where the implicit
516    solver LSOR forms rigid ice. The underlying reasons for this striking
517    difference need further exploration.
518    
519    % THIS is now almost all in the text:
520    %\begin{itemize}
521    %\item Configuration
522    %\item OBCS from cube
523    %\item forcing
524    %\item 1/2 and full resolution
525    %\item with a few JFM figs from C-grid LSR no slip
526    %  ice transport through Canadian Archipelago
527    %  thickness distribution
528    %  ice velocity and transport
529    %\end{itemize}
530    
531    %\begin{itemize}
532    %\item Arctic configuration
533    %\item ice transport through straits and near boundaries
534    %\item focus on narrow straits in the Canadian Archipelago
535    %\end{itemize}
536    
537    %\begin{itemize}
538    %\item B-grid LSR no-slip: B-LSR-ns
539    %\item C-grid LSR no-slip: C-LSR-ns
540    %\item C-grid LSR slip:    C-LSR-fs
541    %\item C-grid EVP no-slip: C-EVP-ns
542    %\item C-grid EVP slip:    C-EVP-fs
543    %\item C-grid LSR + TEM (truncated ellipse method, no tensile stress,
544    %  new flag): C-LSR-ns+TEM
545    %\item C-grid LSR with different advection scheme: 33 vs 77, vs. default?
546    %\item C-grid LSR no-slip + Winton:
547    %\item  speed-performance-accuracy (small)
548    %  ice transport through Canadian Archipelago differences
549    %  thickness distribution differences
550    %  ice velocity and transport differences
551    %\end{itemize}
552    
553    %We anticipate small differences between the different models due to:
554    %\begin{itemize}
555    %\item advection schemes: along the ice-edge and regions with large
556    %  gradients
557    %\item C-grid: less transport through narrow straits for no slip
558    %  conditons, more for free slip
559    %\item VP vs.\ EVP: speed performance, accuracy?
560    %\item ocean stress: different water mass properties beneath the ice
561    %\end{itemize}
562    
563    %%% Local Variables:
564    %%% mode: latex
565    %%% TeX-master: "ceaice"
566    %%% End:

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