54 |
\begin{itemize} |
\begin{itemize} |
55 |
\item it can be used to study both atmospheric and oceanic phenomena; one |
\item it can be used to study both atmospheric and oceanic phenomena; one |
56 |
hydrodynamical kernel is used to drive forward both atmospheric and oceanic |
hydrodynamical kernel is used to drive forward both atmospheric and oceanic |
57 |
models - see fig |
models - see fig \ref{fig:onemodel} |
|
\marginpar{ |
|
|
Fig.1 One model}\ref{fig:onemodel} |
|
58 |
|
|
59 |
%% CNHbegin |
%% CNHbegin |
60 |
\input{part1/one_model_figure} |
\input{part1/one_model_figure} |
61 |
%% CNHend |
%% CNHend |
62 |
|
|
63 |
\item it has a non-hydrostatic capability and so can be used to study both |
\item it has a non-hydrostatic capability and so can be used to study both |
64 |
small-scale and large scale processes - see fig |
small-scale and large scale processes - see fig \ref{fig:all-scales} |
|
\marginpar{ |
|
|
Fig.2 All scales}\ref{fig:all-scales} |
|
65 |
|
|
66 |
%% CNHbegin |
%% CNHbegin |
67 |
\input{part1/all_scales_figure} |
\input{part1/all_scales_figure} |
69 |
|
|
70 |
\item finite volume techniques are employed yielding an intuitive |
\item finite volume techniques are employed yielding an intuitive |
71 |
discretization and support for the treatment of irregular geometries using |
discretization and support for the treatment of irregular geometries using |
72 |
orthogonal curvilinear grids and shaved cells - see fig |
orthogonal curvilinear grids and shaved cells - see fig \ref{fig:finite-volumes} |
|
\marginpar{ |
|
|
Fig.3 Finite volumes}\ref{fig:finite-volumes} |
|
73 |
|
|
74 |
%% CNHbegin |
%% CNHbegin |
75 |
\input{part1/fvol_figure} |
\input{part1/fvol_figure} |
96 |
|
|
97 |
The MITgcm has been designed and used to model a wide range of phenomena, |
The MITgcm has been designed and used to model a wide range of phenomena, |
98 |
from convection on the scale of meters in the ocean to the global pattern of |
from convection on the scale of meters in the ocean to the global pattern of |
99 |
atmospheric winds - see fig.2\ref{fig:all-scales}. To give a flavor of the |
atmospheric winds - see figure \ref{fig:all-scales}. To give a flavor of the |
100 |
kinds of problems the model has been used to study, we briefly describe some |
kinds of problems the model has been used to study, we briefly describe some |
101 |
of them here. A more detailed description of the underlying formulation, |
of them here. A more detailed description of the underlying formulation, |
102 |
numerical algorithm and implementation that lie behind these calculations is |
numerical algorithm and implementation that lie behind these calculations is |
107 |
|
|
108 |
\subsection{Global atmosphere: `Held-Suarez' benchmark} |
\subsection{Global atmosphere: `Held-Suarez' benchmark} |
109 |
|
|
110 |
A novel feature of MITgcm is its ability to simulate both atmospheric and |
A novel feature of MITgcm is its ability to simulate, using one basic algorithm, |
111 |
oceanographic flows at both small and large scales. |
both atmospheric and oceanographic flows at both small and large scales. |
112 |
|
|
113 |
Fig.E1a.\ref{fig:eddy_cs} shows an instantaneous plot of the 500$mb$ |
Figure \ref{fig:eddy_cs} shows an instantaneous plot of the 500$mb$ |
114 |
temperature field obtained using the atmospheric isomorph of MITgcm run at |
temperature field obtained using the atmospheric isomorph of MITgcm run at |
115 |
2.8$^{\circ }$ resolution on the cubed sphere. We see cold air over the pole |
2.8$^{\circ }$ resolution on the cubed sphere. We see cold air over the pole |
116 |
(blue) and warm air along an equatorial band (red). Fully developed |
(blue) and warm air along an equatorial band (red). Fully developed |
126 |
%% CNHend |
%% CNHend |
127 |
|
|
128 |
As described in Adcroft (2001), a `cubed sphere' is used to discretize the |
As described in Adcroft (2001), a `cubed sphere' is used to discretize the |
129 |
globe permitting a uniform gridding and obviated the need to fourier filter. |
globe permitting a uniform gridding and obviated the need to Fourier filter. |
130 |
The `vector-invariant' form of MITgcm supports any orthogonal curvilinear |
The `vector-invariant' form of MITgcm supports any orthogonal curvilinear |
131 |
grid, of which the cubed sphere is just one of many choices. |
grid, of which the cubed sphere is just one of many choices. |
132 |
|
|
133 |
Fig.E1b shows the 5-year mean, zonally averaged potential temperature, zonal |
Figure \ref{fig:hs_zave_u} shows the 5-year mean, zonally averaged zonal |
134 |
wind and meridional overturning streamfunction from a 20-level version of |
wind from a 20-level configuration of |
135 |
the model. It compares favorable with more conventional spatial |
the model. It compares favorable with more conventional spatial |
136 |
discretization approaches. |
discretization approaches. The two plots show the field calculated using the |
137 |
|
cube-sphere grid and the flow calculated using a regular, spherical polar |
138 |
A regular spherical lat-lon grid can also be used. |
latitude-longitude grid. Both grids are supported within the model. |
139 |
|
|
140 |
%% CNHbegin |
%% CNHbegin |
141 |
\input{part1/hs_zave_u_figure} |
\input{part1/hs_zave_u_figure} |
151 |
increased until the baroclinic instability process is resolved, numerical |
increased until the baroclinic instability process is resolved, numerical |
152 |
solutions of a different and much more realistic kind, can be obtained. |
solutions of a different and much more realistic kind, can be obtained. |
153 |
|
|
154 |
Fig. ?.? shows the surface temperature and velocity field obtained from |
Figure \ref{fig:ocean-gyres} shows the surface temperature and velocity |
155 |
MITgcm run at $\frac{1}{6}^{\circ }$ horizontal resolution on a $lat-lon$ |
field obtained from MITgcm run at $\frac{1}{6}^{\circ }$ horizontal |
156 |
|
resolution on a $lat-lon$ |
157 |
grid in which the pole has been rotated by 90$^{\circ }$ on to the equator |
grid in which the pole has been rotated by 90$^{\circ }$ on to the equator |
158 |
(to avoid the converging of meridian in northern latitudes). 21 vertical |
(to avoid the converging of meridian in northern latitudes). 21 vertical |
159 |
levels are used in the vertical with a `lopped cell' representation of |
levels are used in the vertical with a `lopped cell' representation of |
160 |
topography. The development and propagation of anomalously warm and cold |
topography. The development and propagation of anomalously warm and cold |
161 |
eddies can be clearly been seen in the Gulf Stream region. The transport of |
eddies can be clearly seen in the Gulf Stream region. The transport of |
162 |
warm water northward by the mean flow of the Gulf Stream is also clearly |
warm water northward by the mean flow of the Gulf Stream is also clearly |
163 |
visible. |
visible. |
164 |
|
|
169 |
|
|
170 |
\subsection{Global ocean circulation} |
\subsection{Global ocean circulation} |
171 |
|
|
172 |
Fig.E2a shows the pattern of ocean currents at the surface of a 4$^{\circ }$ |
Figure \ref{fig:large-scale-circ} (top) shows the pattern of ocean currents at |
173 |
|
the surface of a 4$^{\circ }$ |
174 |
global ocean model run with 15 vertical levels. Lopped cells are used to |
global ocean model run with 15 vertical levels. Lopped cells are used to |
175 |
represent topography on a regular $lat-lon$ grid extending from 70$^{\circ |
represent topography on a regular $lat-lon$ grid extending from 70$^{\circ |
176 |
}N $ to 70$^{\circ }S$. The model is driven using monthly-mean winds with |
}N $ to 70$^{\circ }S$. The model is driven using monthly-mean winds with |
178 |
transfer properties of ocean eddies, convection and mixing is parameterized |
transfer properties of ocean eddies, convection and mixing is parameterized |
179 |
in this model. |
in this model. |
180 |
|
|
181 |
Fig.E2b shows the meridional overturning circulation of the global ocean in |
Figure \ref{fig:large-scale-circ} (bottom) shows the meridional overturning |
182 |
Sverdrups. |
circulation of the global ocean in Sverdrups. |
183 |
|
|
184 |
%%CNHbegin |
%%CNHbegin |
185 |
\input{part1/global_circ_figure} |
\input{part1/global_circ_figure} |
191 |
ocean may be influenced by rotation when the deformation radius is smaller |
ocean may be influenced by rotation when the deformation radius is smaller |
192 |
than the width of the cooling region. Rather than gravity plumes, the |
than the width of the cooling region. Rather than gravity plumes, the |
193 |
mechanism for moving dense fluid down the shelf is then through geostrophic |
mechanism for moving dense fluid down the shelf is then through geostrophic |
194 |
eddies. The simulation shown in the figure (blue is cold dense fluid, red is |
eddies. The simulation shown in the figure \ref{fig::convect-and-topo} |
195 |
|
(blue is cold dense fluid, red is |
196 |
warmer, lighter fluid) employs the non-hydrostatic capability of MITgcm to |
warmer, lighter fluid) employs the non-hydrostatic capability of MITgcm to |
197 |
trigger convection by surface cooling. The cold, dense water falls down the |
trigger convection by surface cooling. The cold, dense water falls down the |
198 |
slope but is deflected along the slope by rotation. It is found that |
slope but is deflected along the slope by rotation. It is found that |
211 |
dynamics and mixing in oceanic canyons and ridges driven by large amplitude |
dynamics and mixing in oceanic canyons and ridges driven by large amplitude |
212 |
barotropic tidal currents imposed through open boundary conditions. |
barotropic tidal currents imposed through open boundary conditions. |
213 |
|
|
214 |
Fig. ?.? shows the influence of cross-slope topographic variations on |
Fig. \ref{fig:boundary-forced-wave} shows the influence of cross-slope |
215 |
|
topographic variations on |
216 |
internal wave breaking - the cross-slope velocity is in color, the density |
internal wave breaking - the cross-slope velocity is in color, the density |
217 |
contoured. The internal waves are excited by application of open boundary |
contoured. The internal waves are excited by application of open boundary |
218 |
conditions on the left.\ They propagate to the sloping boundary (represented |
conditions on the left. They propagate to the sloping boundary (represented |
219 |
using MITgcm's finite volume spatial discretization) where they break under |
using MITgcm's finite volume spatial discretization) where they break under |
220 |
nonhydrostatic dynamics. |
nonhydrostatic dynamics. |
221 |
|
|
229 |
`automatic adjoint compiler'. These can be used in parameter sensitivity and |
`automatic adjoint compiler'. These can be used in parameter sensitivity and |
230 |
data assimilation studies. |
data assimilation studies. |
231 |
|
|
232 |
As one example of application of the MITgcm adjoint, Fig.E4 maps the |
As one example of application of the MITgcm adjoint, Figure \ref{fig:hf-sensitivity} |
233 |
gradient $\frac{\partial J}{\partial \mathcal{H}}$where $J$ is the magnitude |
maps the gradient $\frac{\partial J}{\partial \mathcal{H}}$where $J$ is the magnitude |
234 |
of the overturning streamfunction shown in fig?.? at 40$^{\circ }$N and $ |
of the overturning streamfunction shown in figure \ref{fig:large-scale-circ} |
235 |
\mathcal{H}$ is the air-sea heat flux 100 years before. We see that $J$ is |
at 60$^{\circ }$N and $ |
236 |
|
\mathcal{H}(\lambda,\varphi)$ is the mean, local air-sea heat flux over |
237 |
|
a 100 year period. We see that $J$ is |
238 |
sensitive to heat fluxes over the Labrador Sea, one of the important sources |
sensitive to heat fluxes over the Labrador Sea, one of the important sources |
239 |
of deep water for the thermohaline circulations. This calculation also |
of deep water for the thermohaline circulations. This calculation also |
240 |
yields sensitivities to all other model parameters. |
yields sensitivities to all other model parameters. |
250 |
the departure of the model from observations (both remotely sensed and |
the departure of the model from observations (both remotely sensed and |
251 |
insitu) over an interval of time, is minimized by adjusting `control |
insitu) over an interval of time, is minimized by adjusting `control |
252 |
parameters' such as air-sea fluxes, the wind field, the initial conditions |
parameters' such as air-sea fluxes, the wind field, the initial conditions |
253 |
etc. Figure ?.? shows an estimate of the time-mean surface elevation of the |
etc. Figure \ref{fig:assimilated-globes} shows an estimate of the time-mean |
254 |
ocean obtained by bringing the model in to consistency with altimetric and |
surface elevation of the ocean obtained by bringing the model in to |
255 |
in-situ observations over the period 1992-1997. |
consistency with altimetric and in-situ observations over the period |
256 |
|
1992-1997. {\bf CHANGE THIS TEXT - FIG FROM PATRICK/CARL/DETLEF} |
257 |
|
|
258 |
%% CNHbegin |
%% CNHbegin |
259 |
\input{part1/globes_figure} |
\input{part1/globes_figure} |
264 |
MITgcm is being used to study global biogeochemical cycles in the ocean. For |
MITgcm is being used to study global biogeochemical cycles in the ocean. For |
265 |
example one can study the effects of interannual changes in meteorological |
example one can study the effects of interannual changes in meteorological |
266 |
forcing and upper ocean circulation on the fluxes of carbon dioxide and |
forcing and upper ocean circulation on the fluxes of carbon dioxide and |
267 |
oxygen between the ocean and atmosphere. The figure shows the annual air-sea |
oxygen between the ocean and atmosphere. Figure \ref{fig:biogeo} shows |
268 |
flux of oxygen and its relation to density outcrops in the southern oceans |
the annual air-sea flux of oxygen and its relation to density outcrops in |
269 |
from a single year of a global, interannually varying simulation. |
the southern oceans from a single year of a global, interannually varying |
270 |
|
simulation. The simulation is run at $1^{\circ}\times1^{\circ}$ resolution |
271 |
|
telescoping to $\frac{1}{3}^{\circ}\times\frac{1}{3}^{\circ}$ in the tropics (not shown). |
272 |
|
|
273 |
%%CNHbegin |
%%CNHbegin |
274 |
\input{part1/biogeo_figure} |
\input{part1/biogeo_figure} |
276 |
|
|
277 |
\subsection{Simulations of laboratory experiments} |
\subsection{Simulations of laboratory experiments} |
278 |
|
|
279 |
Figure ?.? shows MITgcm being used to simulate a laboratory experiment |
Figure \ref{fig:lab-simulation} shows MITgcm being used to simulate a |
280 |
enquiring in to the dynamics of the Antarctic Circumpolar Current (ACC). An |
laboratory experiment enquiring in to the dynamics of the Antarctic Circumpolar Current (ACC). An |
281 |
initially homogeneous tank of water ($1m$ in diameter) is driven from its |
initially homogeneous tank of water ($1m$ in diameter) is driven from its |
282 |
free surface by a rotating heated disk. The combined action of mechanical |
free surface by a rotating heated disk. The combined action of mechanical |
283 |
and thermal forcing creates a lens of fluid which becomes baroclinically |
and thermal forcing creates a lens of fluid which becomes baroclinically |
284 |
unstable. The stratification and depth of penetration of the lens is |
unstable. The stratification and depth of penetration of the lens is |
285 |
arrested by its instability in a process analogous to that whic sets the |
arrested by its instability in a process analogous to that which sets the |
286 |
stratification of the ACC. |
stratification of the ACC. |
287 |
|
|
288 |
%%CNHbegin |
%%CNHbegin |
296 |
|
|
297 |
To render atmosphere and ocean models from one dynamical core we exploit |
To render atmosphere and ocean models from one dynamical core we exploit |
298 |
`isomorphisms' between equation sets that govern the evolution of the |
`isomorphisms' between equation sets that govern the evolution of the |
299 |
respective fluids - see fig.4 |
respective fluids - see figure \ref{fig:isomorphic-equations}. |
300 |
\marginpar{ |
One system of hydrodynamical equations is written down |
|
Fig.4. Isomorphisms}. One system of hydrodynamical equations is written down |
|
301 |
and encoded. The model variables have different interpretations depending on |
and encoded. The model variables have different interpretations depending on |
302 |
whether the atmosphere or ocean is being studied. Thus, for example, the |
whether the atmosphere or ocean is being studied. Thus, for example, the |
303 |
vertical coordinate `$r$' is interpreted as pressure, $p$, if we are |
vertical coordinate `$r$' is interpreted as pressure, $p$, if we are |
304 |
modeling the atmosphere and height, $z$, if we are modeling the ocean. |
modeling the atmosphere (left hand side of figure \ref{fig:isomorphic-equations}) |
305 |
|
and height, $z$, if we are modeling the ocean (right hand side of figure |
306 |
|
\ref{fig:isomorphic-equations}). |
307 |
|
|
308 |
%%CNHbegin |
%%CNHbegin |
309 |
\input{part1/zandpcoord_figure.tex} |
\input{part1/zandpcoord_figure.tex} |
315 |
depend on $\theta $, $S$, and $p$. The equations that govern the evolution |
depend on $\theta $, $S$, and $p$. The equations that govern the evolution |
316 |
of these fields, obtained by applying the laws of classical mechanics and |
of these fields, obtained by applying the laws of classical mechanics and |
317 |
thermodynamics to a Boussinesq, Navier-Stokes fluid are, written in terms of |
thermodynamics to a Boussinesq, Navier-Stokes fluid are, written in terms of |
318 |
a generic vertical coordinate, $r$, see fig.5 |
a generic vertical coordinate, $r$, so that the appropriate |
319 |
\marginpar{ |
kinematic boundary conditions can be applied isomorphically |
320 |
Fig.5 The vertical coordinate of model}: |
see figure \ref{fig:zandp-vert-coord}. |
321 |
|
|
322 |
%%CNHbegin |
%%CNHbegin |
323 |
\input{part1/vertcoord_figure.tex} |
\input{part1/vertcoord_figure.tex} |
414 |
\end{equation*} |
\end{equation*} |
415 |
|
|
416 |
The $\mathcal{F}^{\prime }s$ and $\mathcal{Q}^{\prime }s$ are provided by |
The $\mathcal{F}^{\prime }s$ and $\mathcal{Q}^{\prime }s$ are provided by |
417 |
extensive `physics' packages for atmosphere and ocean described in Chapter 6. |
`physics' and forcing packages for atmosphere and ocean. These are described |
418 |
|
in later chapters. |
419 |
|
|
420 |
\subsection{Kinematic Boundary conditions} |
\subsection{Kinematic Boundary conditions} |
421 |
|
|
422 |
\subsubsection{vertical} |
\subsubsection{vertical} |
423 |
|
|
424 |
at fixed and moving $r$ surfaces we set (see fig.5): |
at fixed and moving $r$ surfaces we set (see figure \ref{fig:zandp-vert-coord}): |
425 |
|
|
426 |
\begin{equation} |
\begin{equation} |
427 |
\dot{r}=0atr=R_{fixed}(x,y)\text{ (ocean bottom, top of the atmosphere)} |
\dot{r}=0atr=R_{fixed}(x,y)\text{ (ocean bottom, top of the atmosphere)} |
452 |
|
|
453 |
\subsection{Atmosphere} |
\subsection{Atmosphere} |
454 |
|
|
455 |
In the atmosphere, see fig.5, we interpret: |
In the atmosphere, (see figure \ref{fig:zandp-vert-coord}), we interpret: |
456 |
|
|
457 |
\begin{equation} |
\begin{equation} |
458 |
r=p\text{ is the pressure} \label{eq:atmos-r} |
r=p\text{ is the pressure} \label{eq:atmos-r} |
686 |
the radius of the earth. |
the radius of the earth. |
687 |
|
|
688 |
\subsubsection{Hydrostatic and quasi-hydrostatic forms} |
\subsubsection{Hydrostatic and quasi-hydrostatic forms} |
689 |
|
\label{sec:hydrostatic_and_quasi-hydrostatic_forms} |
690 |
|
|
691 |
These are discussed at length in Marshall et al (1997a). |
These are discussed at length in Marshall et al (1997a). |
692 |
|
|
805 |
hydrostatic limit, is as computationally economic as the \textbf{HPEs}. |
hydrostatic limit, is as computationally economic as the \textbf{HPEs}. |
806 |
|
|
807 |
\subsection{Finding the pressure field} |
\subsection{Finding the pressure field} |
808 |
|
\label{sec:finding_the_pressure_field} |
809 |
|
|
810 |
Unlike the prognostic variables $u$, $v$, $w$, $\theta $ and $S$, the |
Unlike the prognostic variables $u$, $v$, $w$, $\theta $ and $S$, the |
811 |
pressure field must be obtained diagnostically. We proceed, as before, by |
pressure field must be obtained diagnostically. We proceed, as before, by |