5 |
viscous-plastic (VP) dynamic-thermodynamic sea ice model |
viscous-plastic (VP) dynamic-thermodynamic sea ice model |
6 |
\citep{zhang97} first introduced by \citet{hibler79, hibler80}. In |
\citep{zhang97} first introduced by \citet{hibler79, hibler80}. In |
7 |
order to adapt this model to the requirements of coupled |
order to adapt this model to the requirements of coupled |
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ice-ocean simulations, many important aspects of the original code have |
ice-ocean state estimation, many important aspects of the original code have |
9 |
been modified and improved: |
been modified and improved: |
10 |
\begin{itemize} |
\begin{itemize} |
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\item the code has been rewritten for an Arakawa C-grid, both B- and |
\item the code has been rewritten for an Arakawa C-grid, both B- and |
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C-grid variants are available; the C-grid code allows for no-slip |
C-grid variants are available; the C-grid code allows for no-slip |
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and free-slip lateral boundary conditions; |
and free-slip lateral boundary conditions; |
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\item two different solution methods for solving the nonlinear |
\item two different solution methods for solving the nonlinear |
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momentum equations have been adopted: LSOR \citep{zhang97}, EVP |
momentum equations have been adopted: LSOR \citep{zhang97}, and EVP |
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\citep{hunke97}; |
\citep{hunke97}; |
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\item ice-ocean stress can be formulated as in \citet{hibler87}; |
\item ice-ocean stress can be formulated as in \citet{hibler87} or as in \citet{cam08}; |
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\item ice variables are advected by sophisticated advection schemes; |
\item ice variables \ml{can be} advected by sophisticated, \ml{conservative} |
19 |
\item growth and melt parameterization have been refined and extended |
advection schemes \ml{with flux limiting}; |
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in order to allow for automatic differentiation of the code. |
\item growth and melt parameterizations have been refined and extended |
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|
in order to allow for more stable automatic differentiation of the code. |
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\end{itemize} |
\end{itemize} |
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The model equations and their numerical realization are summarized |
|
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below. |
The sea ice model is tightly coupled to the ocean compontent of the MITgcm |
25 |
|
\citep{mar97a}. Heat, fresh water fluxes and surface stresses are computed |
26 |
|
from the atmospheric state and modified by the ice model at every time step. |
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|
28 |
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|
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\subsection{Dynamics} |
\subsection{Dynamics} |
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\label{sec:dynamics} |
\label{app:dynamics} |
31 |
|
|
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The momentum equation of the sea-ice model is |
The momentum equation of the sea-ice model is |
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\begin{equation} |
\begin{equation} |
44 |
respectively; |
respectively; |
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$g$ is the gravity accelation; |
$g$ is the gravity accelation; |
46 |
$\nabla\phi(0)$ is the gradient (or tilt) of the sea surface height; |
$\nabla\phi(0)$ is the gradient (or tilt) of the sea surface height; |
47 |
$\phi(0) = g\eta + p_{a}/\rho_{0}$ is the sea surface height potential |
$\phi(0) = g\eta + p_{a}/\rho_{0} + mg/\rho_{0}$ is the sea surface |
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in response to ocean dynamics ($g\eta$) and to atmospheric pressure |
height potential in response to ocean dynamics ($g\eta$), to |
49 |
loading ($p_{a}/\rho_{0}$, where $\rho_{0}$ is a reference density); |
atmospheric pressure loading ($p_{a}/\rho_{0}$, where $\rho_{0}$ is a |
50 |
and $\vek{F}=\nabla\cdot\sigma$ is the divergence of the internal ice stress |
reference density) and a term due to snow and ice loading \citep{campin08}; |
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tensor $\sigma_{ij}$. |
and $\vek{F}=\nabla\cdot\sigma$ is the divergence of the internal ice |
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When using the rescaled vertical coordinate system, z$^\ast$, of |
stress tensor $\sigma_{ij}$. % |
|
\citet{cam08}, $\phi(0)$ also includes a term due to snow and ice |
|
|
loading, $mg/\rho_{0}$. |
|
53 |
Advection of sea-ice momentum is neglected. The wind and ice-ocean stress |
Advection of sea-ice momentum is neglected. The wind and ice-ocean stress |
54 |
terms are given by |
terms are given by |
55 |
\begin{align*} |
\begin{align*} |
100 |
\left(\dot{\epsilon}_{11}^2+\dot{\epsilon}_{22}^2\right) |
\left(\dot{\epsilon}_{11}^2+\dot{\epsilon}_{22}^2\right) |
101 |
(1+e^{-2}) + 4e^{-2}\dot{\epsilon}_{12}^2 + |
(1+e^{-2}) + 4e^{-2}\dot{\epsilon}_{12}^2 + |
102 |
2\dot{\epsilon}_{11}\dot{\epsilon}_{22} (1-e^{-2}) |
2\dot{\epsilon}_{11}\dot{\epsilon}_{22} (1-e^{-2}) |
103 |
\right]^{\frac{1}{2}} |
\right]^{\frac{1}{2}}. |
104 |
\end{align*} |
\end{align*} |
105 |
The bulk viscosities are bounded above by imposing both a minimum |
The bulk viscosities are bounded above by imposing both a minimum |
106 |
$\Delta_{\min}=10^{-11}\text{\,s}^{-1}$ (for numerical reasons) and a |
$\Delta_{\min}=10^{-11}\text{\,s}^{-1}$ (for numerical reasons) and a |
177 |
the external (long) timestep $\Delta{t}$. \citet{hunke97} recommend |
the external (long) timestep $\Delta{t}$. \citet{hunke97} recommend |
178 |
$E_{0} = \frac{1}{3}$. |
$E_{0} = \frac{1}{3}$. |
179 |
|
|
180 |
For details of the spatial discretization, the reader is referred to |
Our discretization differs from \citet{zhang98, zhang03} in the |
181 |
\citet{zhang98, zhang03}. Our discretization differs only (but |
underlying grid, namely the Arakawa C-grid, but is otherwise |
182 |
importantly) in the underlying grid, namely the Arakawa C-grid, but is |
straightforward. The EVP model, in particular, is discretized |
|
otherwise straightforward. The EVP model, in particular, is discretized |
|
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naturally on the C-grid with $\sigma_{1}$ and $\sigma_{2}$ on the |
naturally on the C-grid with $\sigma_{1}$ and $\sigma_{2}$ on the |
184 |
center points and $\sigma_{12}$ on the corner (or vorticity) points of |
center points and $\sigma_{12}$ on the corner (or vorticity) points of |
185 |
the grid. With this choice all derivatives are discretized as central |
the grid. With this choice all derivatives are discretized as central |
238 |
%\end{itemize} |
%\end{itemize} |
239 |
|
|
240 |
\subsection{Thermodynamics} |
\subsection{Thermodynamics} |
241 |
\label{sec:thermodynamics} |
\label{app:thermodynamics} |
242 |
|
|
243 |
In the original formulation the sea ice model \citep{menemenlis05} |
In its original formulation the sea ice model \citep{menemenlis05} |
244 |
uses simple thermodynamics following the appendix of |
uses simple thermodynamics following the appendix of |
245 |
\citet{semtner76}. This formulation does not allow storage of heat |
\citet{semtner76}. This formulation does not allow storage of heat, |
246 |
(heat capacity of ice is zero, and this type of model is often refered |
that is, the heat capacity of ice is zero. Upward conductive heat flux |
247 |
to as a ``zero-layer'' model). Upward conductive heat flux is parameterized |
is parameterized assuming a linear temperature profile and together |
248 |
assuming a linear temperature profile and together with a constant ice |
with a constant ice conductivity. It is expressed as |
249 |
conductivity. It is expressed as $(K/h)(T_{w}-T_{0})$, where $K$ is |
$(K/h)(T_{w}-T_{0})$, where $K$ is the ice conductivity, $h$ the ice |
250 |
the ice conductivity, $h$ the ice thickness, and $T_{w}-T_{0}$ the |
thickness, and $T_{w}-T_{0}$ the difference between water and ice |
251 |
difference between water and ice surface temperatures. The surface |
surface temperatures. This type of model is often refered to as a |
252 |
heat flux is computed in a similar way to that of \citet{parkinson79} |
``zero-layer'' model. The surface heat flux is computed in a similar |
253 |
and \citet{manabe79}. |
way to that of \citet{parkinson79} and \citet{manabe79}. |
254 |
|
|
255 |
The conductive heat flux depends strongly on the ice thickness $h$. |
The conductive heat flux depends strongly on the ice thickness $h$. |
256 |
However, the ice thickness in the model represents a mean over a |
However, the ice thickness in the model represents a mean over a |
257 |
potentially very heterogeneous thickness distribution. In order to |
potentially very heterogeneous thickness distribution. In order to |
258 |
parameterize this sub-grid scale distribution for heat flux |
parameterize a sub-grid scale distribution for heat flux |
259 |
computations, the mean ice thickness $h$ is split into seven thickness |
computations, the mean ice thickness $h$ is split into seven thickness |
260 |
categories $H_{n}$ that are equally distributed between $2h$ and |
categories $H_{n}$ that are equally distributed between $2h$ and a |
261 |
a minimum imposed ice thickness of $5\text{\,cm}$ by $H_n= |
minimum imposed ice thickness of $5\text{\,cm}$ by $H_n= |
262 |
\frac{2n-1}{7}\,h$ for $n\in[1,7]$. The heat fluxes computed for each |
\frac{2n-1}{7}\,h$ for $n\in[1,7]$. The heat fluxes computed for each |
263 |
thickness category area averaged to give the total heat flux. \ml{[I |
thickness category is area-averaged to give the total heat flux |
264 |
don't have citation for that, anyone?]} |
\citep{hibler84}. |
265 |
|
|
266 |
|
\ml{[This is Ian Fenty's work and we may want to remove this paragraph |
267 |
|
from the paper]: % |
268 |
The atmospheric heat flux is balanced by an oceanic heat flux from |
The atmospheric heat flux is balanced by an oceanic heat flux from |
269 |
below. The oceanic flux is proportional to |
below. The oceanic flux is proportional to |
270 |
$\rho\,c_{p}\left(T_{w}-T_{fr}\right)$ where $\rho$ and $c_{p}$ are |
$\rho\,c_{p}\left(T_{w}-T_{fr}\right)$ where $\rho$ and $c_{p}$ are |
272 |
freezing point temperature that is a function of salinity. Contrary to |
freezing point temperature that is a function of salinity. Contrary to |
273 |
\citet{menemenlis05}, this flux is not assumed to instantaneously melt |
\citet{menemenlis05}, this flux is not assumed to instantaneously melt |
274 |
or create ice, but a time scale of three days is used to relax $T_{w}$ |
or create ice, but a time scale of three days is used to relax $T_{w}$ |
275 |
to the freezing point. |
to the freezing point.} |
276 |
|
% |
277 |
The parameterization of lateral and vertical growth of sea ice follows |
The parameterization of lateral and vertical growth of sea ice follows |
278 |
that of \citet{hibler79, hibler80}. |
that of \citet{hibler79, hibler80}. |
279 |
|
|
280 |
On top of the ice there is a layer of snow that modifies the heat flux |
On top of the ice there is a layer of snow that modifies the heat flux |
281 |
and the albedo \citep{zhang98}. If enough snow accumulates so that its |
and the albedo \citep{zhang98}. Snow modifies the effective |
282 |
weight submerges the ice and the snow is flooded, a simple mass |
conductivity according to |
283 |
conserving parameterization of snowice formation (a flood-freeze |
\[\frac{K}{h} \rightarrow \frac{1}{\frac{h_{s}}{K_{s}}+\frac{h}{K}},\] |
284 |
algorithm following Archimedes' principle) turns snow into ice until |
where $K_s$ is the conductivity of snow and $h_s$ the snow thickness. |
285 |
the ice surface is back at $z=0$ \citep{leppaeranta83}. |
If enough snow accumulates so that its weight submerges the ice and |
286 |
|
the snow is flooded, a simple mass conserving parameterization of |
287 |
|
snowice formation (a flood-freeze algorithm following Archimedes' |
288 |
|
principle) turns snow into ice until the ice surface is back at $z=0$ |
289 |
|
\citep{leppaeranta83}. |
290 |
|
|
291 |
Effective ice thickness (ice volume per unit area, |
Effective ice thickness (ice volume per unit area, |
292 |
$c\cdot{h}$), concentration $c$ and effective snow thickness |
$c\cdot{h}$), concentration $c$ and effective snow thickness |
324 |
this can only be accomplished with a 2nd-order advection scheme with |
this can only be accomplished with a 2nd-order advection scheme with |
325 |
flux limiter \citep{roe85}.} |
flux limiter \citep{roe85}.} |
326 |
|
|
327 |
|
Further documentation and model code can be found at |
328 |
|
\url{http://mitgcm.org}. |
329 |
|
|
330 |
|
|
331 |
%\subsection{C-grid} |
%\subsection{C-grid} |
332 |
%\begin{itemize} |
%\begin{itemize} |