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revision 1.16 by dimitri, Wed Jun 4 00:39:25 2008 UTC revision 1.20 by mlosch, Sat Jul 5 10:39:16 2008 UTC
# Line 1  Line 1 
1  \section{Forward sensitivity experiments}  \section{Forward Sensitivity Experiments in an Arctic Domain with Open
2    Boundaries}
3  \label{sec:forward}  \label{sec:forward}
4    
5  This section presents results from global and regional coupled ocean and sea  This section presents results from regional coupled ocean and sea
6  ice simulations that exercise various capabilities of the MITgcm sea ice  ice simulations of the Arctic Ocean that exercise various capabilities of the MITgcm sea ice
7  model.  The first set of results is from a global, eddy-permitting, ocean and  model.
8  sea ice configuration.  The second set of results is from a regional Arctic  The objective is to
9  configuration, which is used to compare the B-grid and C-grid dynamic solvers  compare the old B-grid LSOR dynamic solver with the new C-grid LSOR and
10  and various other capabilities of the MITgcm sea ice model.  EVP solvers. Additional experiments are carried out to illustrate
11    the differences between different ice advection schemes, ocean-ice
12  \subsection{Global Ocean and Sea Ice Simulation}  stress formulations and the two main options for sea ice
13  \label{sec:global}  thermodynamics in the MITgcm.
14    
15  The global ocean and sea ice results presented below were carried out as part  \subsection{Model configuration and experiments}
16    \label{sec:arcticmodel}
17    The Arctic model domain is illustrated in \reffig{arctic_topog}.
18    \begin{figure*}
19    %\includegraphics*[width=0.44\linewidth,viewport=139 210 496 606,clip]{\fpath/topography}
20    %\includegraphics*[width=0.44\linewidth,viewport=0 0 496 606,clip]{\fpath/topography}
21    %\includegraphics*[width=0.44\linewidth]{\fpath/topography}
22    %\includegraphics*[width=0.46\linewidth]{\fpath/archipelago}
23    \includegraphics*[width=\linewidth]{\fpath/topography}
24    \caption{Left: Bathymetry and domain boundaries of Arctic
25      Domain.
26      %; the dashed line marks the boundaries of the inset on the right hand side.
27      The letters in the inset label sections in the
28      Canadian Archipelago, where ice transport is evaluated:
29      A: Nares Strait; %
30      B: \ml{Meighen Island}; %
31      C: Prince Gustaf Adolf Sea; %
32      D: \ml{Brock Island}; %
33      E: M'Clure Strait; %
34      F: Amundsen Gulf; %
35      G: Lancaster Sound; %
36      H: Barrow Strait \ml{W.}; %
37      I: Barrow Strait \ml{E.}; %
38      J: Barrow Strait \ml{N.}; %
39      K: Fram Strait. %
40      The sections A through F comprise the total inflow into the Canadian
41      Archipelago. \ml{[May still need to check the geography.]}
42      \label{fig:arctic_topog}}
43    \end{figure*}
44    It has 420 by 384 grid boxes and is carved out, and obtains open
45    boundary conditions from, a global cubed-sphere configuration
46    similar to that described in \citet{menemenlis05}.
47    
48    \ml{[Some of this could be part of the introduction?]}%
49    The global ocean and sea ice results presented in \citet{menemenlis05}
50    were carried out as part
51  of the Estimating the Circulation and Climate of the Ocean, Phase II (ECCO2)  of the Estimating the Circulation and Climate of the Ocean, Phase II (ECCO2)
52  project.  ECCO2 aims to produce increasingly accurate syntheses of all  project.  ECCO2 aims to produce increasingly accurate syntheses of all
53  available global-scale ocean and sea-ice data at resolutions that start to  available global-scale ocean and sea-ice data at resolutions that start to
54  resolve ocean eddies and other narrow current systems, which transport heat,  resolve ocean eddies and other narrow current systems, which transport heat,
55  carbon, and other properties within the ocean \citep{menemenlis05}.  The  carbon, and other properties within the ocean \citep{menemenlis05}.  The
56  particular ECCO2 simulation discussed next is a baseline 28-year (1979-2006)  particular ECCO2 simulation from which we obtain the boundary
57    conditions is a baseline 28-year (1979-2006)
58  integration, labeled cube76, which has not yet been constrained by oceanic and  integration, labeled cube76, which has not yet been constrained by oceanic and
59  by sea ice data.  A cube-sphere grid projection is employed, which permits  by sea ice data. A cube-sphere grid projection is employed, which permits
60  relatively even grid spacing throughout the domain and which avoids polar  relatively even grid spacing throughout the domain and which avoids polar
61  singularities \citep{adcroft04:_cubed_sphere}. Each face of the cube comprises  singularities \citep{adcroft04:_cubed_sphere}. Each face of the cube comprises
62  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
63  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
64  approximately 450 m at a maximum model depth of 6150 m. The model employs the  approximately 450 m at a maximum model depth of 6150 m. The model employs the
65  partial-cell formulation of  partial-cell formulation of
66  \citet{adcroft97:_shaved_cells}, which permits accurate representation of the  \citet{adcroft97:_shaved_cells}, which permits accurate representation of the
67  bathymetry. Bathymetry is from the S2004 (Smith, unpublished) blend of the  bathymetry. Bathymetry is from the S2004 (W.~Smith, unpublished) blend of the
68  \citet{smi97} and the General Bathymetric Charts of the Oceans (GEBCO) one  \citet{smi97} and the General Bathymetric Charts of the Oceans (GEBCO) one
69  arc-minute bathymetric grid (see Fig.~\ref{fig:CubeBathymetry}).  arc-minute bathymetric grid. % (see Fig.~\ref{fig:CubeBathymetry}).
70  The model is integrated in a volume-conserving configuration using  The model is integrated in a volume-conserving configuration using
71  a finite volume discretization with C-grid staggering of the prognostic  a finite volume discretization with C-grid staggering of the prognostic
72  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
73  used.  used.
74    %
75  \begin{figure}[h]  The global ocean model is coupled to a sea ice model in a
76    \centering  configuration similar to the case C-LSR-ns (see \reftab{experiments}),
77    \includegraphics[width=\textwidth]{\fpath/CubeBathymetry}  with open water, dry ice, wet ice, dry snow, and wet snow albedos of,
78    \caption{Bathymetry of the global cubed sphere model configuration.  The  respectively, 0.15, 0.88, 0.79, 0.97, and 0.83.
     solid lines indicate domain boundaries for the regional Arctic  
     configuration discussed in Section~\ref{sec:arctic}.}  
   \label{fig:CubeBathymetry}  
 \end{figure}  
   
 The ocean model is coupled to the sea-ice model discussed in  
 \refsec{model} using the following specific options.  The  
 zero-heat-capacity thermodynamics formulation of \citet{hibler80} is  
 used to compute sea ice thickness and concentration.  Snow cover and  
 sea ice salinity are prognostic.  Open water, dry ice, wet ice, dry  
 snow, and wet snow albedo are, respectively, 0.15, 0.88, 0.79, 0.97,  
 and 0.83. Ice mechanics follow the viscous plastic rheology of  
 \citet{hibler79} and the ice momentum equation is solved numerically  
 using the C-grid implementation of the \citet{zhang97}'s LSOR dynamics  
 model discussed hereinabove.  The ice is coupled to the ocean using  
 the rescaled vertical coordinate system, z$^\ast$, of \citet{cam08},  
 that is, sea ice does not float above the ocean model but rather  
 deforms the ocean's model surface level.  
79    
80  This particular ECCO2 simulation is initialized from temperature and salinity  This particular ECCO2 simulation is initialized from temperature and salinity
81  fields derived from the Polar science center Hydrographic Climatology (PHC)  fields derived from the Polar science center Hydrographic Climatology (PHC)
# Line 72  radiations, and precipitation are conver Line 91  radiations, and precipitation are conver
91  stress fluxes using the \citet{large81,large82} bulk formulae.  Shortwave  stress fluxes using the \citet{large81,large82} bulk formulae.  Shortwave
92  radiation decays exponentially as per \citet{pau77}.  Low frequency  radiation decays exponentially as per \citet{pau77}.  Low frequency
93  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
94  Precipitation Climatology Project \citep[GPCP][]{huf01}.  The time-mean river  Precipitation Climatology Project \citep[GPCP,][]{huf01}.  The time-mean river
95  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
96  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)
97  and prepared by P. Winsor (personnal communication, 2007) is specificied.  and prepared by P. Winsor (personnal communication, 2007) is specificied.
# Line 91  advection scheme \citep{dar04} is employ Line 110  advection scheme \citep{dar04} is employ
110  diffusivity.  Horizontal viscosity follows \citet{lei96} but modified to sense  diffusivity.  Horizontal viscosity follows \citet{lei96} but modified to sense
111  the divergent flow as per \citet{kem08}.  the divergent flow as per \citet{kem08}.
112    
113  \ml{[Dimitris, here you need to either provide figures, so that I can  The model configuration of cube76 carries over to the Arctic domain
114    write text, or you can provide both figures and text. I guess, one  configuration except for numerical details related to the non-linear
115    figure, showing the northern and southern hemisphere in summer and  free surface that are not supported by the open boundary code, and the
116    winter is fine (four panels), as we are showing so many figures in  albedos of open water, dry ice, wet ice, dry snow, and wet snow, which
117    the next section.]}  are now, respectively, 0.15, 0.85, 0.76, 0.94, and 0.8.
118    
119    The model is integrated from Jan~01, 1992 to Mar~31, 2000.
120  \subsection{Arctic Domain with Open Boundaries}  \reftab{experiments} gives an overview over the experiments discussed
121  \label{sec:arctic}  in \refsec{arcticresults}.
122    \begin{table}
123  A series of forward sensitivity experiments have been carried out on    \caption{Overview over model simulations in \refsec{arcticresults}.
124  an Arctic Ocean domain with open boundaries.  The objective is to      \label{tab:experiments}}
 compare the old B-grid LSR dynamic solver with the new C-grid LSR and  
 EVP solvers.  Additional experiments are carried out to illustrate  
 the differences between different ice advection schemes, ocean-ice  
 stress formulations and the two main options for sea ice  
 thermodynamics in the MITgcm.  
   
 The Arctic domain of integration is illustrated in  
 \reffig{arctic_topog}.  It is carved out from, and obtains open  
 boundary conditions from, the global cubed-sphere configuration  
 described above.  The horizontal domain size is 420 by 384 grid boxes.  
 \begin{figure*}  
 %\includegraphics*[width=0.44\linewidth,viewport=139 210 496 606,clip]{\fpath/topography}  
 %\includegraphics*[width=0.44\linewidth,viewport=0 0 496 606,clip]{\fpath/topography}  
 \includegraphics*[width=0.44\linewidth]{\fpath/topography}  
 \includegraphics*[width=0.46\linewidth]{\fpath/archipelago}  
 \caption{Left: Bathymetry and domain boudaries of Arctic  
   Domain; the dashed line marks the boundaries of the inset on the  
   right hand side. The letters in the inset label sections in the  
   Canadian Archipelago, where ice transport is evaluated:  
   A: Nares Strait; %  
   B: \ml{Meighen Island}; %  
   C: Prince Gustaf Adolf Sea; %  
   D: \ml{Brock Island}; %  
   E: M'Clure Strait; %  
   F: Amundsen Gulf; %  
   G: Lancaster Sound; %  
   H: Barrow Strait \ml{W.}; %  
   I: Barrow Strait \ml{E.}; %  
   J: Barrow Strait \ml{N.}. %  
   The sections A through F comprise the total inflow into the Canadian  
   Archipelago. \ml{[May still need to check the geography.]}  
   \label{fig:arctic_topog}}  
 \end{figure*}  
   
 The main dynamic difference from cube sphere is that the Arctic domain  
 configuration does not use rescaled vertical coordinates (z$^\ast$)  
 and the surface boundary conditions for freshwater input are  
 different, because those features are not supported by the open  
 boundary code.  
 %  
 Open water, dry ice, wet ice, dry snow, and wet snow albedo are,  
 respectively, 0.15, 0.85, 0.76, 0.94, and 0.8.  
   
 The model is integrated from Jan~01, 1992 to Mar~31, 2000,  
 with three different dynamical solvers, two different boundary  
 conditions, different stress coupling, rheology, and advection  
 schemes. \reftab{experiments} gives an overview over the experiments  
 discussed in this section.  
 \begin{table}[htbp]  
125    \begin{tabular}{p{.3\linewidth}p{.65\linewidth}}    \begin{tabular}{p{.3\linewidth}p{.65\linewidth}}
126      experiment name & description \\ \hline      experiment name & description \\ \hline
127      B-LSR-ns       &  the original LSOR solver of \citet{zhang97} on an      B-LSR-ns       &  the original LSOR solver of \citet{zhang97} on an
128    Arakawa B-grid, implying no-slip lateral boundary conditions    Arakawa B-grid, implying no-slip lateral boundary conditions
129    ($\vek{u}=0$ exactly) \\    ($\vek{u}=0$ exactly), advection of ice variables with a 2nd-order
130      central difference scheme plus explicit diffusion for stability \\
131      C-LSR-ns       &  the LSOR solver discretized on a C-grid with no-slip lateral      C-LSR-ns       &  the LSOR solver discretized on a C-grid with no-slip lateral
132    boundary conditions (implemented via ghost-points) \\    boundary conditions (implemented via ghost-points) \\
133      C-LSR-fs       &  the LSOR solver on a C-grid with free-slip lateral boundary      C-LSR-fs       &  the LSOR solver on a C-grid with free-slip lateral boundary
# Line 177  discussed in this section. Line 148  discussed in this section.
148    direct-space-time advection scheme for thermodynamic variables    direct-space-time advection scheme for thermodynamic variables
149    \citep{hundsdorfer94}    \citep{hundsdorfer94}
150    \end{tabular}    \end{tabular}
   \caption{Overview over model simulations in \refsec{arctic}.  
     \label{tab:experiments}}  
151  \end{table}  \end{table}
152  %\begin{description}  %\begin{description}
153  %\item[B-LSR-ns:] the original LSOR solver of \citet{zhang97} on an  %\item[B-LSR-ns:] the original LSOR solver of \citet{zhang97} on an
# Line 220  steps for the EVP solutions: \citet{hunk Line 189  steps for the EVP solutions: \citet{hunk
189  for the EVP solution. We use two interpretations of this choice where  for the EVP solution. We use two interpretations of this choice where
190  the EVP model is subcycled 120 times within a (short) model timestep  the EVP model is subcycled 120 times within a (short) model timestep
191  of 1200\,s resulting in a very long and expensive integration  of 1200\,s resulting in a very long and expensive integration
192  ($\Delta{t}_\mathrm{evp}=10\text{\,s}$) and 120 times within the  ($\Delta{t}_\mathrm{evp}=10\text{\,s}$) and 144 times within the
193  forcing timescale of 6\,h ($\Delta{t}_\mathrm{evp}=150\text{\,s}$).  forcing timescale of 6\,h ($\Delta{t}_\mathrm{evp}=150\text{\,s}$).
194    
195  A principle difficulty in comparing the solutions obtained with  \subsection{Results}
196  different realizations of the model dynamics lies in the non-linear  \label{sec:arcticresults}
197  feedback of the ice dynamics and thermodynamics. Already after a few  
198  months the solutions have diverged so far from each other that  Comparing the solutions obtained with different realizations of the
199  comparing velocities only makes sense within the first 3~months of the  model dynamics is difficult because of the non-linear feedback of the
200    ice dynamics and thermodynamics. Already after a few months the
201    solutions have diverged so far from each other that comparing
202    velocities only makes sense within the first 3~months of the
203  integration while the ice distribution is still close to the initial  integration while the ice distribution is still close to the initial
204  conditions. At the end of the integration, the differences between the  conditions. At the end of the integration, the differences between the
205  model solutions can be interpreted as cumulated model uncertainties.  model solutions can be interpreted as cumulated model uncertainties.
206    
207    \subsubsection{Ice velocities in JFM 1992}
208    
209  \reffig{iceveloc} shows ice velocities averaged over Janunary,  \reffig{iceveloc} shows ice velocities averaged over Janunary,
210  February, and March (JFM) of 1992 for the C-LSR-ns solution; also  February, and March (JFM) of 1992 for the C-LSR-ns solution; also
211  shown are the differences between B-grid and C-grid, LSR and EVP, and  shown are the differences between this reference solution and various
212  no-slip and free-slip solution. The velocity field of the C-LSR-ns  sensitivity experiments. The velocity field of the C-LSR-ns
213  solution (\reffig{iceveloc}a) roughly resembles the drift velocities  solution (\reffig{iceveloc}a) roughly resembles the drift velocities
214  of some of the AOMIP (Arctic Ocean Model Intercomparison Project)  of some of the AOMIP (Arctic Ocean Model Intercomparison Project)
215  models in a cyclonic circulation regime (CCR) \citep[their  models in a cyclonic circulation regime (CCR) \citep[their
216  Figure\,6]{martin07} with a Beaufort Gyre and a transpolar drift  Figure\,6]{martin07} with a Beaufort Gyre and a transpolar drift
217  shifted eastwards towards Alaska.  shifted eastwards towards Alaska.
   
 The difference beween runs C-LSR-ns and B-LSR-ns (\reffig{iceveloc}b)  
 is most pronounced along the coastlines, where the discretization  
 differs most between B and C-grids: On a B-grid the tangential  
 velocity lies on the boundary (and is thus zero through the no-slip  
 boundary conditions), whereas on the C-grid it is half a cell width  
 away from the boundary, thus allowing more flow. The B-LSR-ns solution  
 has less ice drift through the Fram Strait and especially the along  
 Greenland's east coast; also, the flow through Baffin Bay and Davis  
 Strait into the Labrador Sea is reduced with respect the C-LSR-ns  
 solution.  \ml{[Do we expect this? Say something about that]}  
218  %  %
219  Compared to the differences between B and C-grid solutions,the  \newcommand{\subplotwidth}{0.47\textwidth}
220  C-LSR-fs ice drift field differs much less from the C-LSR-ns solution  %\newcommand{\subplotwidth}{0.3\textwidth}
221  (\reffig{iceveloc}c).  As expected the differences are largest along  \begin{figure}[tp]
 coastlines: because of the free-slip boundary conditions, flow is  
 faster in the C-LSR-fs solution, for example, along the east coast  
 of Greenland, the north coast of Alaska, and the east Coast of Baffin  
 Island.  
 %\newcommand{\subplotwidth}{0.44\textwidth}  
 \newcommand{\subplotwidth}{0.3\textwidth}  
 \begin{figure}[htbp]  
222    \centering    \centering
223    \subfigure[{\footnotesize C-LSR-ns}]    \subfigure[{\footnotesize C-LSR-ns}]
224    {\includegraphics[width=\subplotwidth]{\fpath/JFMuv_C-LSR-ns}}    {\includegraphics[width=\subplotwidth]{\fpath/JFMuv1992_C-LSR-ns}}
225    \subfigure[{\footnotesize B-LSR-ns $-$ C-LSR-ns}]    \subfigure[{\footnotesize B-LSR-ns $-$ C-LSR-ns}]
226    {\includegraphics[width=\subplotwidth]{\fpath/JFMuv_B-LSR-ns-C-LSR-ns}}    {\includegraphics[width=\subplotwidth]{\fpath/JFMuv1992_B-LSR-ns-C-LSR-ns}}
227    \\    \\
228    \subfigure[{\footnotesize C-LSR-fs $-$ C-LSR-ns}]    \subfigure[{\footnotesize C-LSR-fs $-$ C-LSR-ns}]
229    {\includegraphics[width=\subplotwidth]{\fpath/JFMuv_C-LSR-fs-C-LSR-ns}}    {\includegraphics[width=\subplotwidth]{\fpath/JFMuv1992_C-LSR-fs-C-LSR-ns}}
230    \subfigure[{\footnotesize C-EVP-ns $-$ C-LSR-ns}]    \subfigure[{\footnotesize C-EVP-ns $-$ C-LSR-ns}]
231    {\includegraphics[width=\subplotwidth]{\fpath/JFMuv_C-EVP-ns150-C-LSR-ns}}    {\includegraphics[width=\subplotwidth]{\fpath/JFMuv1992_C-EVP-ns150-C-LSR-ns}}
232    \\  %  \\
233    \subfigure[{\footnotesize C-LSR-ns TEM $-$ C-LSR-ns}]  %  \subfigure[{\footnotesize C-LSR-ns TEM $-$ C-LSR-ns}]
234    {\includegraphics[width=\subplotwidth]{\fpath/JFMuv_TEM-C-LSR-ns}}  %  {\includegraphics[width=\subplotwidth]{\fpath/JFMuv1992_TEM-C-LSR-ns}}
235    \subfigure[{\footnotesize C-LSR-ns HB87 $-$ C-LSR-ns}]  %  \subfigure[{\footnotesize C-LSR-ns HB87 $-$ C-LSR-ns}]
236    {\includegraphics[width=\subplotwidth]{\fpath/JFMuv_HB87-C-LSR-ns}}  %  {\includegraphics[width=\subplotwidth]{\fpath/JFMuv1992_HB87-C-LSR-ns}}
237    \\  %  \\
238    \subfigure[{\footnotesize  C-LSR-ns WTD $-$ C-LSR-ns}]  %  \subfigure[{\footnotesize  C-LSR-ns WTD $-$ C-LSR-ns}]
239    {\includegraphics[width=\subplotwidth]{\fpath/JFMuv_ThSIce-C-LSR-ns}}  %  {\includegraphics[width=\subplotwidth]{\fpath/JFMuv1992_ThSIce-C-LSR-ns}}
240    \subfigure[{\footnotesize C-LSR-ns DST3FL $-$ C-LSR-ns}]  %  \subfigure[{\footnotesize C-LSR-ns DST3FL $-$ C-LSR-ns}]
241    {\includegraphics[width=\subplotwidth]{\fpath/JFMuv_adv33-C-LSR-ns}}  %  {\includegraphics[width=\subplotwidth]{\fpath/JFMuv1992_adv33-C-LSR-ns}}
242    \caption{(a) Ice drift velocity of the C-LSR-ns solution averaged    \caption{(a) Ice drift velocity of the C-LSR-ns solution averaged
243      over the first 3 months of integration [cm/s]; (b)-(h) difference      over the first 3 months of integration [cm/s]; (b)-(h) difference
244      between solutions with B-grid, free lateral slip, EVP-solver,      between solutions with B-grid, free lateral slip, EVP-solver,
# Line 293  Island. Line 249  Island.
249      of speed), vectors indicate direction only.}      of speed), vectors indicate direction only.}
250    \label{fig:iceveloc}    \label{fig:iceveloc}
251  \end{figure}  \end{figure}
252    \addtocounter{figure}{-1}
253    \setcounter{subfigure}{4}
254    \begin{figure}[tp]
255      \subfigure[{\footnotesize C-LSR-ns TEM $-$ C-LSR-ns}]
256      {\includegraphics[width=\subplotwidth]{\fpath/JFMuv1992_TEM-C-LSR-ns}}
257      \subfigure[{\footnotesize C-LSR-ns HB87 $-$ C-LSR-ns}]
258      {\includegraphics[width=\subplotwidth]{\fpath/JFMuv1992_HB87-C-LSR-ns}}
259      \\
260      \subfigure[{\footnotesize  C-LSR-ns WTD $-$ C-LSR-ns}]
261      {\includegraphics[width=\subplotwidth]{\fpath/JFMuv1992_ThSIce-C-LSR-ns}}
262      \subfigure[{\footnotesize C-LSR-ns DST3FL $-$ C-LSR-ns}]
263      {\includegraphics[width=\subplotwidth]{\fpath/JFMuv1992_adv33-C-LSR-ns}}
264      \caption{continued}
265    \end{figure}
266    
267    The difference beween runs C-LSR-ns and B-LSR-ns (\reffig{iceveloc}b)
268    is most pronounced along the coastlines, where the discretization
269    differs most between B and C-grids: On a B-grid the tangential
270    velocity lies on the boundary (and is thus zero through the no-slip
271    boundary conditions), whereas on the C-grid it is half a cell width
272    away from the boundary, thus allowing more flow. The B-LSR-ns solution
273    has less ice drift through the Fram Strait and along
274    Greenland's east coast; also, the flow through Baffin Bay and Davis
275    Strait into the Labrador Sea is reduced with respect the C-LSR-ns
276    solution.  \ml{[Do we expect this? Say something about that]}
277    %
278    Compared to the differences between B and C-grid solutions, the
279    C-LSR-fs ice drift field differs much less from the C-LSR-ns solution
280    (\reffig{iceveloc}c).  As expected the differences are largest along
281    coastlines: because of the free-slip boundary conditions, flow is
282    faster in the C-LSR-fs solution, for example, along the east coast
283    of Greenland, the north coast of Alaska, and the east Coast of Baffin
284    Island.
285    
286  The C-EVP-ns solution with $\Delta{t}_\mathrm{evp}=150\text{\,s}$ is  The C-EVP-ns solution with $\Delta{t}_\mathrm{evp}=150\text{\,s}$ is
287  very different from the C-LSR-ns solution (\reffig{iceveloc}d). The  very different from the C-LSR-ns solution (\reffig{iceveloc}d). The
288  EVP-approximation of the VP-dynamics allows for increased drift by  EVP-approximation of the VP-dynamics allows for increased drift by up
289  over 2\,cm/s in the Beaufort Gyre and the transarctic drift.  to 8\,cm/s in the Beaufort Gyre and the transarctic drift.  In
290  %\ml{Also the Beaufort Gyre is moved towards Alaska in the C-EVP-ns  general, drift velocities are strongly biased towards higher values in
291  %solution. [Really?, No]}  the EVP solutions.
292  In general, drift velocities are biased towards higher values in the  
293  EVP solutions.  Compared to the other parameters, the ice rheology TEM
294  % as can be seen from a histogram of the differences in  (\reffig{iceveloc}e) has a very small effect on the solution. In
295  %\reffig{drifthist}.  general the ice drift tends to be increased, because there is no
296  %\begin{figure}[htbp]  tensile stress and ice can be ``pulled appart'' at no cost.
297  %  \centering  Consequently, the largest effect on drift velocity can be observed
298  %  \includegraphics[width=\textwidth]{\fpath/drifthist_C-EVP-ns-C-LSR-ns}  near the ice edge in the Labrador Sea. In contrast, the drift is
299  %  \caption{Histogram of drift velocity differences for C-LSR-ns and  stronger almost everywhere in the computational domain in the run with
300  %    C-EVP-ns solution [cm/s].}  the ice-ocean stress formulation of \citet{hibler87}
301  %  \label{fig:drifthist}  (\reffig{iceveloc}f). The increase is mostly aligned with the general
302  %\end{figure}  direction of the flow, implying that the different stress formulation
303    reduces the deceleration of drift by the ocean.
304    
305    The 3-layer thermodynamics following \citet{winton00} requires
306    additional information on initial conditions for enthalphy. These
307    different initial conditions make a comparison of the first months
308    difficult to interpret. The drift in the Beaufort Gyre is slightly
309    reduced relative to the reference run C-LSR-ns, but the drift through
310    the Fram Strait is increased. The drift velocities near the ice edge
311    are very different, because the ice extend is already larger in
312    \mbox{C-LSR-ns~WTD}; inward from the ice egde, this run has smaller
313    drift velocities, because the ice motion is more contrained by a
314    larger ice extent than in \mbox{C-LSR-ns}, where the ice at the same
315    geographical position is nearly in free drift.
316    
317    A more sophisticated advection scheme (\mbox{C-LSR-ns DST3FL},
318    \reffig{iceveloc}h) has some effect along the ice edge, where
319    the gradients of thickness and concentration are largest. Everywhere
320    else the effect is very small and can mostly be attributed to smaller
321    numerical diffusion (and to the absense of explicit diffusion that is
322    requird for numerical stability in a simple second order central
323    differences scheme).
324    
325    \subsubsection{Ice volume during JFM 2000}
326    
327  \reffig{icethick}a shows the effective thickness (volume per unit  \reffig{icethick}a shows the effective thickness (volume per unit
328  area) of the C-LSR-ns solution, averaged over January, February, March  area) of the C-LSR-ns solution, averaged over January, February, March
329  of year 2000. By this time of the integration, the differences in the  of year 2000. By this time of the integration, the differences in the
330  ice drift velocities have led to the evolution of very different ice  ice drift velocities have led to the evolution of very different ice
331  thickness distributions, which are shown in \reffig{icethick}b--d, and  thickness distributions, which are shown in \reffig{icethick}b--h, and
332  concentrations (not shown).  concentrations (not shown).
333  \begin{figure}[htbp]  \begin{figure}[tp]
334    \centering    \centering
335    \subfigure[{\footnotesize C-LSR-ns}]    \subfigure[{\footnotesize C-LSR-ns}]
336    {\includegraphics[width=\subplotwidth]{\fpath/JFMheff2000_C-LSR-ns}}    {\includegraphics[width=\subplotwidth]{\fpath/JFMheff2000_C-LSR-ns}}
# Line 329  concentrations (not shown). Line 341  concentrations (not shown).
341    {\includegraphics[width=\subplotwidth]{\fpath/JFMheff2000_C-LSR-fs-C-LSR-ns}}    {\includegraphics[width=\subplotwidth]{\fpath/JFMheff2000_C-LSR-fs-C-LSR-ns}}
342    \subfigure[{\footnotesize C-EVP-ns $-$ C-LSR-ns}]    \subfigure[{\footnotesize C-EVP-ns $-$ C-LSR-ns}]
343    {\includegraphics[width=\subplotwidth]{\fpath/JFMheff2000_C-EVP-ns150-C-LSR-ns}}    {\includegraphics[width=\subplotwidth]{\fpath/JFMheff2000_C-EVP-ns150-C-LSR-ns}}
344    \\    \caption{(a) Effective thickness (volume per unit area) of the
345        C-LSR-ns solution, averaged over the months Janurary through March
346        2000 [m]; (b)-(h) difference between solutions with B-grid, free
347        lateral slip, EVP-solver, truncated ellipse method (TEM),
348        different ice-ocean stress formulation (HB87), different
349        thermodynamics (WTD), different advection for thermodynamic
350        variables (DST3FL) and the C-LSR-ns reference solution [m].}
351      \label{fig:icethick}
352    \end{figure}
353    \addtocounter{figure}{-1}
354    \setcounter{subfigure}{4}
355    \begin{figure}[tp]
356    \subfigure[{\footnotesize C-LSR-ns TEM $-$ C-LSR-ns}]    \subfigure[{\footnotesize C-LSR-ns TEM $-$ C-LSR-ns}]
357    {\includegraphics[width=\subplotwidth]{\fpath/JFMheff2000_TEM-C-LSR-ns}}    {\includegraphics[width=\subplotwidth]{\fpath/JFMheff2000_TEM-C-LSR-ns}}
358    \subfigure[{\footnotesize C-EVP-ns HB87 $-$ C-LSR-ns}]    \subfigure[{\footnotesize C-EVP-ns HB87 $-$ C-LSR-ns}]
# Line 339  concentrations (not shown). Line 362  concentrations (not shown).
362    {\includegraphics[width=\subplotwidth]{\fpath/JFMheff2000_ThSIce-C-LSR-ns}}    {\includegraphics[width=\subplotwidth]{\fpath/JFMheff2000_ThSIce-C-LSR-ns}}
363    \subfigure[{\footnotesize C-EVP-ns DST3FL $-$ C-LSR-ns}]    \subfigure[{\footnotesize C-EVP-ns DST3FL $-$ C-LSR-ns}]
364    {\includegraphics[width=\subplotwidth]{\fpath/JFMheff2000_adv33-C-LSR-ns}}    {\includegraphics[width=\subplotwidth]{\fpath/JFMheff2000_adv33-C-LSR-ns}}
365    \caption{(a) Effective thickness (volume per unit area) of the    \caption{continued}
     C-LSR-ns solution, averaged over the months Janurary through March  
     2000 [m]; (b)-(d) difference between solutions with B-grid, free  
     lateral slip, EVP-solver, truncated ellipse method (TEM),  
     different ice-ocean stress formulation (HB87), different  
     thermodynamics (WTD), different advection for thermodynamic  
     variables (DST3FL) and the C-LSR-ns reference solution [m].}  
   \label{fig:icethick}  
366  \end{figure}  \end{figure}
 %  
367  The generally weaker ice drift velocities in the B-LSR-ns solution,  The generally weaker ice drift velocities in the B-LSR-ns solution,
368  when compared to the C-LSR-ns solution, in particular through the  when compared to the C-LSR-ns solution, in particular through the
369  narrow passages in the Canadian Archipelago, lead to a larger build-up  narrow passages in the Canadian Archipelago, lead to a larger build-up
# Line 364  Severnaya Semlya\ml{/or Nordland?}, Line 379  Severnaya Semlya\ml{/or Nordland?},
379  because ice tends to flow along coasts less easily in the B-LSR-ns  because ice tends to flow along coasts less easily in the B-LSR-ns
380  solution.  solution.
381    
382  Imposing a free-slip boundary condition in C-LSR-fs leads to a much  Imposing a free-slip boundary condition in C-LSR-fs leads to much
383  smaller differences to C-LSR-ns in the central Arctic than the  smaller differences to C-LSR-ns in the central Arctic than the
384  transition from the B-grid to the C-grid (\reffig{icethick}c), except  transition from the B-grid to the C-grid (\reffig{icethick}c), except
385  in the Canadian Archipelago. There it reduces the effective ice  in the Canadian Archipelago. There it reduces the effective ice
386  thickness by 2\,m and more where the ice is thick and the straits are  thickness by 2\,m and more where the ice is thick and the straits are
387  narrow.  Dipoles of ice thickness differences can also be observed  narrow.  Dipoles of ice thickness differences can also be observed
388  around islands, because the free-slip solution allows more flow around  around islands, because the free-slip solution allows more flow around
389  islands than the no-slip solution.  Everywhere else the ice volume is  islands than the no-slip solution. Everywhere else the ice volume is
390  affected only slightly by the different boundary condition.  affected only slightly by the different boundary condition.
391  %  %
392  The C-EVP-ns solution has generally stronger drift velocities than the  The C-EVP-ns solution has much thicker ice in the central Arctic Ocean
393  C-LSR-ns solution. Consequently, more ice can be moved from the  than the C-LSR-ns solution (\reffig{icethick}d, note the color scale).
394  eastern part of the Arctic, where ice volumes are smaller, to the  Within the Canadian Archipelago, more drift leads to faster ice export
395  western Arctic (\reffig{icethick}d). Within the Canadian Archipelago,  and reduced effective ice thickness. With a shorter time step of
396  more drift leads to faster ice export and reduced effective ice  $\Delta{t}_\mathrm{evp}=10\text{\,s}$ the EVP solution converges to
397  thickness. With a shorter time step of  the LSOR solution (not shown). Only in the narrow straits in the
398  $\Delta{t}_\mathrm{evp}=10\text{\,s}$ the EVP solution seems to  Archipelago the ice thickness is not affected by the shorter time step
399  converge to the LSOR solution (not shown). Only in the narrow straits  and the ice is still thinner by 2\,m and more, as in the EVP solution
400  in the Archipelago the ice thickness is not affected by the shorter  with $\Delta{t}_\mathrm{evp}=150\text{\,s}$.
401  time step and the ice is still thinner by 2\,m and more, as in the EVP  
402  solution with $\Delta{t}_\mathrm{evp}=150\text{\,s}$.  In year 2000, there is more ice everywhere in the domain in
403    C-LSR-ns~WTD (\reffig{icethick}g, note the color scale).
404    This difference, which is even more pronounced in summer (not shown),
405    can be attributed to direct effects of the different thermodynamics in
406    this run. The remaining runs have the largest differences in effective
407    ice thickness long the north coasts of Greenland and Ellesmere Island.
408    Although the effects of TEM and \citet{hibler87}'s ice-ocean stress
409    formulation are so different on the initial ice velocities, both runs
410    have similarly reduced ice thicknesses in this area. The 3rd-order
411    advection scheme has an opposite effect of similar magnitude, pointing
412    towards more implicit lateral stress with this numerical scheme.
413    
414  The observed difference of order 2\,m and less are smaller than the  The observed difference of order 2\,m and less are smaller than the
415  differences that were observed between different hindcast and climate  differences that were observed between different hindcast models and climate
416  models in \citet{gerdes07}. There the range of sea ice volume of  models in \citet{gerdes07}. There the range of sea ice volume of
417  different sea ice-ocean models (which shared very similar forcing  different sea ice-ocean models (which shared very similar forcing
418  fields) was on the order of $10,000\text{km$^{3}$}$; this range was  fields) was on the order of $10,000\text{km$^{3}$}$; this range was
# Line 396  averaging period) is smaller than $4,000 Line 421  averaging period) is smaller than $4,000
421  the run \mbox{C-LSR-ns~WTD} where the more complicated thermodynamics  the run \mbox{C-LSR-ns~WTD} where the more complicated thermodynamics
422  leads to generally thicker ice (\reffig{icethick} and  leads to generally thicker ice (\reffig{icethick} and
423  \reftab{icevolume}).  \reftab{icevolume}).
424  \begin{table}[htbp]  \begin{table}[t]
425    \begin{tabular}{lr@{\hspace{5ex}}r@{$\pm$}rr@{$\pm$}rr@{$\pm$}r}    \begin{tabular}{lr@{\hspace{5ex}}r@{$\pm$}rr@{$\pm$}rr@{$\pm$}r}
426      model run & ice volume      model run & ice volume
427      & \multicolumn{6}{c}{ice transport [$\text{flux$\pm$ std.,      & \multicolumn{6}{c}{ice transport [$\text{flux$\pm$ std.,
# Line 419  leads to generally thicker ice (\reffig{ Line 444  leads to generally thicker ice (\reffig{
444      $\text{km$^{3}$}$. Mean ice transport and standard deviation for the      $\text{km$^{3}$}$. Mean ice transport and standard deviation for the
445      period Jan 1992 -- Dec 1999 through the Fram Strait (FS), the      period Jan 1992 -- Dec 1999 through the Fram Strait (FS), the
446      total northern inflow into the Canadian Archipelago (NI), and the      total northern inflow into the Canadian Archipelago (NI), and the
447      export through Lancaster Sound (LS), in $\text{km$^{3}$\,y$^{-1}$}$.}      export through Lancaster Sound (LS), in $\text{km$^{3}$\,y$^{-1}$}$.
448    \label{tab:icevolume}    \label{tab:icevolume}}
449  \end{table}  \end{table}
450    
451    \subsubsection{Ice transports}
452    
453  The difference in ice volume and ice drift velocities between the  The difference in ice volume and ice drift velocities between the
454  different experiments has consequences for the ice transport out of  different experiments has consequences for the ice transport out of
455  the Arctic. Although by far the most exported ice drifts through the  the Arctic. Although by far the most exported ice drifts through the
# Line 434  with large uncertainties; also note that Line 461  with large uncertainties; also note that
461  ice-ocean model to reproduce observations is not our goal, but we use  ice-ocean model to reproduce observations is not our goal, but we use
462  the published numbers as an orientation.  the published numbers as an orientation.
463    
464  \reffig{archipelago} shows a time series of daily averaged, smoothed  \reffig{archipelago} shows an excerpt of a time series of daily
465  with monthly running means, ice transports through various straits in  averaged ice transports, smoothed with a monthly running mean, through
466  the Canadian Archipelago and the Fram Strait for the different model  various straits in the Canadian Archipelago and the Fram Strait for
467  solutions and \reftab{icevolume} summarizes the time series. The  the different model solutions; \reftab{icevolume} summarizes the
468  export through Fram Strait agrees with the observations in all model  time series.
469  solutions (annual averages range from $2110$ to  \begin{figure}
470    %\centerline{{\includegraphics*[width=0.6\linewidth]{\fpath/Jan1992xport}}}
471    %\centerline{{\includegraphics*[width=0.6\linewidth]{\fpath/ice_export}}}
472    %\centerline{{\includegraphics[width=\linewidth]{\fpath/ice_export}}}
473    \centerline{{\includegraphics[width=\linewidth]{\fpath/ice_export1996}}}
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}. The mean
478      range of the different model solution is taken over the period Jan
479      1992 to Dec 1999.
480    \label{fig:archipelago}}
481    \end{figure}
482    The export through Fram Strait agrees with the observations in all
483    model solutions (annual averages range from $2110$ to
484  $2300\text{\,km$^3$\,y$^{-1}$}$, except for \mbox{C-LSR-ns~WTD} with  $2300\text{\,km$^3$\,y$^{-1}$}$, except for \mbox{C-LSR-ns~WTD} with
485  $2760\text{\,km$^3$\,y$^{-1}$}$ and the EVP solution with the long  $2760\text{\,km$^3$\,y$^{-1}$}$ and the EVP solution with the long
486  time step of 150\,s with nearly $3000\text{\,km$^3$\,y$^{-1}$}$),  time step of 150\,s with nearly $3000\text{\,km$^3$\,y$^{-1}$}$),
# Line 456  drift velocities are largest in these so Line 497  drift velocities are largest in these so
497  the Nares Strait, which is only a few grid points wide in our  the Nares Strait, which is only a few grid points wide in our
498  configuration, both B- and C-grid LSOR solvers lead to practically no  configuration, both B- and C-grid LSOR solvers lead to practically no
499  ice transport, while the C-EVP solutions allow up to  ice transport, while the C-EVP solutions allow up to
500  $600\text{\,km$^3$\,y$^{-1}$}$ in summer; \citet{tang04} report $300$  $600\text{\,km$^3$\,y$^{-1}$}$ in summer (not shown); \citet{tang04}
501  to $350\text{\,km$^3$\,y$^{-1}$}$.  As as consequence, the import into  report $300$ to $350\text{\,km$^3$\,y$^{-1}$}$.  As as consequence,
502  the Candian Archipelago is larger in all EVP solutions  the import into the Candian Archipelago is larger in all EVP solutions
503  %(range: $539$ to $773\text{\,km$^3$\,y$^{-1}$}$)  %(range: $539$ to $773\text{\,km$^3$\,y$^{-1}$}$)
504  than in the LSOR solutions.  than in the LSOR solutions.
505  %get the order of magnitude right (range: $132$ to  %get the order of magnitude right (range: $132$ to
# Line 467  The B-LSR-ns solution is even smaller by Line 508  The B-LSR-ns solution is even smaller by
508  C-LSR solutions (an exception is the WTD solution, where larger ice thickness  C-LSR solutions (an exception is the WTD solution, where larger ice thickness
509  tends to block the transport).  tends to block the transport).
510  %underestimates the ice transport with $34\text{\,km$^3$\,y$^{-1}$}$.  %underestimates the ice transport with $34\text{\,km$^3$\,y$^{-1}$}$.
 \begin{figure}  
 %\centerline{{\includegraphics*[width=0.6\linewidth]{\fpath/Jan1992xport}}}  
 %\centerline{{\includegraphics*[width=0.6\linewidth]{\fpath/ice_export}}}  
 \centerline{{\includegraphics*[width=\linewidth]{\fpath/ice_export}}}  
 \caption{Transport through Canadian Archipelago for different solver  
   flavors. The letters refer to the labels of the sections in  
   \reffig{arctic_topog}; positive values are flux out of the Arctic;  
   legend abbreviations are explained in \reftab{experiments}.  
 \label{fig:archipelago}}  
 \end{figure}  
511    
512  %\ml{[Transport to narrow straits, area?, more runs, TEM, advection  %\ml{[Transport to narrow straits, area?, more runs, TEM, advection
513  %  schemes, Winton TD, discussion about differences in terms of model  %  schemes, Winton TD, discussion about differences in terms of model
514  %  error? that's tricky as it means refering to Tremblay, thus our ice  %  error? that's tricky as it means refering to Tremblay, thus our ice
515  %  models are all erroneous!]}  %  models are all erroneous!]}
516    
517    \subsubsection{Discussion}
518    
519  In summary, we find that different dynamical solvers can yield very  In summary, we find that different dynamical solvers can yield very
520  different solutions. In constrast to that, the differences between  different solutions. In constrast to that, the differences between
521  free-slip and no-slip solutions \emph{with the same solver} are  free-slip and no-slip solutions \emph{with the same solver} are
# Line 506  thus leading to different solutions for Line 539  thus leading to different solutions for
539  this were true, this tantalizing circumstance would have a dramatic  this were true, this tantalizing circumstance would have a dramatic
540  impact on sea-ice modeling in general, and we would need to improve  impact on sea-ice modeling in general, and we would need to improve
541  the solution techniques for dynamic sea ice models, most likely at a very  the solution techniques for dynamic sea ice models, most likely at a very
542  high compuational cost (Bruno Tremblay, personal communication). Further,  high compuational cost (Bruno Tremblay, personal communication).
543  we observe that the EVP solutions tends to produce effectively  
544  ``weaker'' ice that yields more easily to stress. The fast response to  Further, we observe that the EVP solutions tends to produce
545  changing wind was also observed by \citet{hunke99}, their Fig.\,10--12,  effectively ``weaker'' ice that yields more easily to stress. This was
546  where the EVP model adjusts quickly to a cyclonic wind pattern, while  also observed by \citet{hunke99} in a fast response to changing winds,
547  the LSOR solution does not. This property of the EVP solutions allows  their Figures\,10--12, where the EVP model adjusts quickly to a
548  larger ice transports through narrow straits, where the implicit  cyclonic wind pattern, while the LSOR solution lags in time. This
549  solver LSOR forms rigid ice. The underlying reasons for this striking  property of the EVP solutions allows larger ice transports through
550  difference need further exploration.  narrow straits, where the implicit solver LSOR forms rigid ice. The
551    underlying reasons for this striking difference need further
552    exploration.
553    
554  % THIS is now almost all in the text:  % THIS is now almost all in the text:
555  %\begin{itemize}  %\begin{itemize}

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