# 4.5. Global Ocean Simulation¶

(in directory: verification/tutorial_global_oce_latlon/)

This example experiment demonstrates using the MITgcm to simulate the planetary ocean circulation. The simulation is configured with realistic geography and bathymetry on a \(4^{\circ} \times 4^{\circ}\) spherical polar grid. Fifteen levels are used in the vertical, ranging in thickness from 50 m at the surface to 690 m at depth, giving a maximum model depth of 5200 m. Different time-steps are used to accelerate the convergence to equilibrium (see Bryan 1984 [Bry84]) so that, at this resolution, the configuration can be integrated forward for thousands of years on a single processor desktop computer.

## 4.5.1. Overview¶

The model is forced with climatological wind stress data from Trenberth (1990) [TOL90] and NCEP surface flux data from Kalnay et al. (1996) [KKK+96]. Climatological data (Levitus and Boyer 1994a,b [LB94a][LB94b]) is used to initialize the model hydrography. Levitus and Boyer seasonal climatology data is also used throughout the calculation to provide additional air-sea fluxes. These fluxes are combined with the NCEP climatological estimates of surface heat flux, resulting in a mixed boundary condition of the style described in Haney (1971) [Han71]. Altogether, this yields the following forcing applied in the model surface layer.

where \({\cal F}_{u}\), \({\cal F}_{v}\),
\({\cal F}_{\theta}\), \({\cal F}_{s}\) are the forcing terms in
the zonal and meridional momentum and in the potential temperature and
salinity equations respectively. The term \(\Delta z_{s}\)
represents the top ocean layer thickness in meters. It is used in
conjunction with a reference density, \(\rho_{0}\) (here set to
999.8 kg m^{-3}), a reference salinity, \(S_{0}\)
(here set to 35 ppt), and a specific heat capacity, \(C_{p}\) (here
set to 4000 J kg^{-1} K^{-1}), to
convert input dataset values into time tendencies of potential
temperature (with units of ^{o}C s^{-1}),
salinity (with units ppt s^{-1}) and velocity (with units
m s^{-2}). The externally supplied forcing fields
used in this experiment are \(\tau_{x}\), \(\tau_{y}\),
\(\theta^{\ast}\), \(S^{\ast}\), \(\cal{Q}\) and
\(\mathcal{E}-\mathcal{P}-\mathcal{R}\). The wind stress fields (\(\tau_x\),
\(\tau_y\)) have units of N m^{-2}. The
temperature forcing fields (\(\theta^{\ast}\) and \(Q\)) have
units of ^{o}C and W m^{-2}
respectively. The salinity forcing fields (\(S^{\ast}\) and
\(\cal{E}-\cal{P}-\cal{R}\)) have units of ppt and
m s^{-1} respectively. The source files and
procedures for ingesting this data into the simulation are described in
the experiment configuration discussion in section
Section 4.5.3.

## 4.5.2. Discrete Numerical Configuration¶

The model is configured in hydrostatic form. The domain is discretized with a uniform grid spacing in latitude and longitude on the sphere \(\Delta \phi=\Delta \lambda=4^{\circ}\), so that there are 90 grid cells in the zonal and 40 in the meridional direction. The internal model coordinate variables \(x\) and \(y\) are initialized according to

Arctic polar regions are not included in this experiment. Meridionally
the model extends from 80^{o}S to
80^{o}N. Vertically the model is configured with
fifteen layers with the following thicknesses:

\(\Delta z_{1}\) = 50 m\(\Delta z_{2}\) = 70 m\(\Delta z_{3}\) = 100 m\(\Delta z_{4}\) = 140 m\(\Delta z_{5}\) = 190 m\(\Delta z_{6}\) = 240 m\(\Delta z_{7}\) = 290 m\(\Delta z_{8}\) = 340 m\(\Delta z_{9}\) = 390 m\(\Delta z_{10}\) = 440 m\(\Delta z_{11}\) = 490 m\(\Delta z_{12}\) = 540 m\(\Delta z_{13}\) = 590 m\(\Delta z_{14}\) = 640 m\(\Delta z_{15}\) = 690 m

(here the numeric subscript indicates the model level index number, \({\tt k}\)) to give a total depth, \(H\), of -5200 m. The implicit free surface form of the pressure equation described in Marshall et al. (1997) [MHPA97] is employed. A Laplacian operator, \(\nabla^2\), provides viscous dissipation. Thermal and haline diffusion is also represented by a Laplacian operator.

Wind-stress forcing is added to the momentum equations in (4.34) for both the zonal flow \(u\) and the meridional flow \(v\), according to equations (4.30) and (4.31). Thermodynamic forcing inputs are added to the equations in (4.35) for potential temperature, \(\theta\), and salinity, \(S\), according to equations (4.32) and (4.33). This produces a set of equations solved in this configuration as follows:

where \(u=\frac{Dx}{Dt}=r \cos(\phi)\frac{D \lambda}{Dt}\) and \(v=\frac{Dy}{Dt}=r \frac{D \phi}{Dt}\) are the zonal and meridional components of the flow vector, \(\vec{u}\), on the sphere. As described in Section 2, the time evolution of potential temperature \(\theta\) equation is solved prognostically. The total pressure \(p\) is diagnosed by summing pressure due to surface elevation \(\eta\) and the hydrostatic pressure.

### 4.5.2.1. Numerical Stability Criteria¶

The Laplacian dissipation coefficient, \(A_{h}\), is set to
\(5 \times 10^5\) m s^{-1}. This value is chosen to yield a Munk
layer width (see Adcroft 1995 [Adc95]),

of ~600 km. This is greater than the model resolution in low-latitudes, \(\Delta x \approx\) 400 km, ensuring that the frictional boundary layer is adequately resolved.

The model is stepped forward with a time step \(\Delta t_{\theta}\) = 24 hours for thermodynamic variables and \(\Delta t_{v}\) = 30 minutes for momentum terms. With this time step, the stability parameter to the horizontal Laplacian friction (Adcroft 1995 [Adc95])

evaluates to 0.6 at a latitude of
\(\phi\) = 80^{o}, which is above the 0.3 upper limit for
stability, but the zonal grid spacing \(\Delta x\) is smallest at
\(\phi\) = 80^{o} where \(\Delta
x=r\cos(\phi)\Delta \phi\approx\) 77 km and the stability criterion
is already met one grid cell equatorwards (at \(\phi\) = 76^{o}).

The vertical dissipation coefficient,
\(A_{z}\), is set to \(1\times10^{-3}\) m^{2} s^{-1}.
The associated stability limit

evaluates to 0.0029 for the smallest model level spacing (\(\Delta z_{1}\) = 50 m) which is well below the upper stability limit.

The numerical stability for inertial oscillations (Adcroft 1995 [Adc95])

evaluates to 0.07 for
\(f=2\omega\sin(80^{\circ})=1.43\times10^{-4}\) s^{-1},
which is below the \(S_{i} < 1\) upper limit for stability.

The advective CFL (Adcroft 1995 [Adc95])
for a extreme maximum horizontal flow
speed of \(| \vec{u} |\) = 2 m s^{-1}

evaluates to \(5 \times 10^{-2}\). This is well below the stability limit of 0.5.

The stability parameter for internal gravity
waves propagating with a maximum speed of
\(c_{g}\) = 10 m s^{-1} (Adcroft 1995 [Adc95])

evaluates to \(2.3 \times 10^{-1}\). This is close to the linear stability limit of 0.5.

## 4.5.3. Experiment Configuration¶

The experiment files

`verification/tutorial_global_oce_latlon/input/trenberth_taux.bin`

`verification/tutorial_global_oce_latlon/input/trenberth_tauy.bin`

`verification/tutorial_global_oce_latlon/input/lev_s.bin`

`verification/tutorial_global_oce_latlon/input/lev_t.bin`

`verification/tutorial_global_oce_latlon/input/lev_sss.bin`

`verification/tutorial_global_oce_latlon/input/lev_sst.bin`

`verification/tutorial_global_oce_latlon/input/bathymetry.bin`

contain the code customizations and parameter settings for these experiments. Below we describe the customizations to these files associated with this experiment.

### 4.5.3.1. Driving Datasets¶

Figure 4.26-Figure 4.31
show the relaxation temperature (\(\theta^{\ast}\)) and salinity
(\(S^{\ast}\)) fields, the wind stress components (\(\tau_x\)
and \(\tau_y\)), the heat flux (\(Q\)) and the net fresh water
flux (\({\cal E} - {\cal P} - {\cal R}\)) used in equations
(4.30)-(4.33).
The figures also indicate the lateral extent and coastline used in the
experiment. Figure (*— missing figure —* ) shows the depth contours of
the model domain.

### 4.5.3.2. File input/data¶

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 | ```
# ====================
# | Model parameters |
# ====================
#
# Continuous equation parameters
&PARM01
tRef = 15*20.,
sRef = 15*35.,
viscAr=1.E-3,
viscAh=5.E5,
diffKhT=0.,
diffKrT=3.E-5,
diffKhS=0.,
diffKrS=3.E-5,
rhoConst=1035.,
rhoConstFresh=1000.,
eosType = 'JMD95Z',
ivdc_kappa=100.,
implicitDiffusion=.TRUE.,
allowFreezing=.TRUE.,
exactConserv=.TRUE.,
useRealFreshWaterFlux=.TRUE.,
useCDscheme=.TRUE.,
# turn on looped cells
hFacMin=.05,
hFacMindr=50.,
# set precision of data files
readBinaryPrec=32,
&
# Elliptic solver parameters
&PARM02
cg2dMaxIters=500,
cg2dTargetResidual=1.E-13,
&
# Time stepping parameters
&PARM03
nIter0= 0,
nTimeSteps = 20,
# 100 years of integration will yield a reasonable flow field
# startTime = 0.,
# endTime = 3110400000.,
deltaTmom = 1800.,
tauCD = 321428.,
deltaTtracer= 86400.,
deltaTClock = 86400.,
deltaTfreesurf= 86400.,
abEps = 0.1,
pChkptFreq= 1728000.,
dumpFreq= 864000.,
taveFreq= 864000.,
monitorFreq=1.,
# 2 months restoring timescale for temperature
tauThetaClimRelax= 5184000.,
# 6 months restoring timescale for salinity
tauSaltClimRelax = 15552000.,
periodicExternalForcing=.TRUE.,
externForcingPeriod=2592000.,
externForcingCycle=31104000.,
&
# Gridding parameters
&PARM04
usingSphericalPolarGrid=.TRUE.,
delR= 50., 70., 100., 140., 190.,
240., 290., 340., 390., 440.,
490., 540., 590., 640., 690.,
ygOrigin=-80.,
dySpacing=4.,
dxSpacing=4.,
&
# Input datasets
&PARM05
bathyFile= 'bathymetry.bin',
hydrogThetaFile='lev_t.bin',
hydrogSaltFile= 'lev_s.bin',
zonalWindFile= 'trenberth_taux.bin',
meridWindFile= 'trenberth_tauy.bin',
thetaClimFile= 'lev_sst.bin',
saltClimFile= 'lev_sss.bin',
surfQnetFile= 'ncep_qnet.bin',
the_run_name= 'global_oce_latlon',
# fresh water flux is turned on, comment next line to it turn off
# (maybe better with surface salinity restoring)
EmPmRFile= 'ncep_emp.bin',
&
``` |

This file specifies the main parameters for the experiment. The parameters that are significant for this configuration are

Lines 7-8,

tRef= 15*20., sRef= 15*35.,

set reference values for potential temperature and salinity at each model level in units of

^{o}C and ppt. The entries are ordered from surface to depth. Density is calculated from anomalies at each level evaluated with respect to the reference values set here.Line 9,

viscAr=1.E-3,

this line sets the vertical Laplacian dissipation coefficient to \(1 \times 10^{-3}\) m

^{2}s^{-1}. Boundary conditions for this operator are specified later.Line 10,

viscAh=5.E5,

this line sets the horizontal Laplacian frictional dissipation coefficient to \(5 \times 10^{5}\) m

^{2}s^{-1}. Boundary conditions for this operator are specified later.Lines 11, 13,

diffKhT=0., diffKhS=0.,

set the horizontal diffusion coefficient for temperature and salinity to 0, since pkg/gmredi is used.

Lines 12, 14,

diffKrT=3.E-5, diffKrS=3.E-5,

set the vertical diffusion coefficient for temperature and salinity to \(3 \times 10^{-5}\) m

^{2}s^{-1}. The boundary condition on this operator is \(\frac{\partial}{\partial z}=0\) at both the upper and lower boundaries.Lines 15-17,

rhoConst=1035., rhoConstFresh=1000., eosType = 'JMD95Z',

set the reference densities for sea water and fresh water, and selects the equation of state (Jackett and McDougall 1995 [JM95])

Lines 18-19,

ivdc_kappa=100., implicitDiffusion=.TRUE.,

specify an “implicit diffusion” scheme with increased vertical diffusivity of 100 m

^{2}/s in case of instable stratification.Line 28,

readBinaryPrec=32,

Sets format for reading binary input datasets containing model fields to use 32-bit representation for floating-point numbers.

Line 33,

cg2dMaxIters=500,

Sets maximum number of iterations the two-dimensional, conjugate gradient solver will use,

**irrespective of convergence criteria being met**.Line 34,

cg2dTargetResidual=1.E-13,

Sets the tolerance which the 2-D conjugate gradient solver will use to test for convergence in (2.15) to \(1 \times 10^{-13}\). Solver will iterate until tolerance falls below this value or until the maximum number of solver iterations is reached.

Line 39,

nIter0=0,

Sets the starting time for the model internal time counter. When set to non-zero this option implicitly requests a checkpoint file be read for initial state. By default the checkpoint file is named according to the integer number of time step value nIter0. The internal time counter works in seconds. Alternatively, startTime can be set.

Line 40,

nTimeSteps=20,

Sets the time step number at which this simulation will terminate. At the end of a simulation a checkpoint file is automatically written so that a numerical experiment can consist of multiple stages. Alternatively endTime can be set.

Line 44,

deltaTmom=1800.,

Sets the timestep \(\Delta t_{v}\) used in the momentum equations to 30 minutes. See Section 2.2.

Line 45,

tauCD=321428.,

Sets the D-grid to C-grid coupling time scale \(\tau_{CD}\) used in the momentum equations.

Lines 46-48,

deltaTtracer=86400., deltaTClock = 86400., deltaTfreesurf= 86400.,

Sets the default timestep, \(\Delta t_{\theta}\), for tracer equations and implicit free surface equations to 24 hours. See Section 2.2.

Line 76,

bathyFile='bathymetry.bin'

This line specifies the name of the file from which the domain bathymetry is read. This file is a 2-D (\(x,y\)) map of depths. This file is assumed to contain 32-bit binary numbers giving the depth of the model at each grid cell, ordered with the \(x\) coordinate varying fastest. The points are ordered from low coordinate to high coordinate for both axes. The units and orientation of the depths in this file are the same as used in the MITgcm code. In this experiment, a depth of 0 m indicates a solid wall and a depth of <0 m indicates open ocean.

Lines 79-80,

zonalWindFile='trenberth_taux.bin' meridWindFile='trenberth_tauy.bin'

These lines specify the names of the files from which the \(x\)- and \(y\)- direction surface wind stress is read. These files are also 3-D (\(x,y,time\)) maps and are enumerated and formatted in the same manner as the bathymetry file.

Other lines in the file input/data are standard values that are described in the Section 3.8.

### 4.5.3.3. File input/data.pkg¶

This file uses standard default values and does not contain customizations for this experiment.

### 4.5.3.4. File input/eedata¶

This file uses standard default values and does not contain customizations for this experiment.

### 4.5.3.5. Files `input/trenberth_taux.bin`

and `input/trenberth_tauy.bin`

¶

The `input/trenberth_taux.bin`

and `input/trenberth_tauy.bin`

files
specify 3-D (\(x,y,time\)) maps of wind stress
\((\tau_{x},\tau_{y})\), based on values from Treberth et al. (1990) [TOL90].
The units are N m^{-2}.

### 4.5.3.6. File `input/bathymetry.bin`

¶

The `input/bathymetry.bin`

file specifies a 2-D
(\(x,y\)) map of depth values. For this experiment values range
between 0 and -5200 m, and have been derived
from ETOPO5. The file contains a raw binary stream of data that is
enumerated in the same way as standard MITgcm 2-D horizontal arrays.

### 4.5.3.7. File code/SIZE.h¶

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 | ```
CBOP
C !ROUTINE: SIZE.h
C !INTERFACE:
C include SIZE.h
C !DESCRIPTION: \bv
C *==========================================================*
C | SIZE.h Declare size of underlying computational grid.
C *==========================================================*
C | The design here supports a three-dimensional model grid
C | with indices I,J and K. The three-dimensional domain
C | is comprised of nPx*nSx blocks (or tiles) of size sNx
C | along the first (left-most index) axis, nPy*nSy blocks
C | of size sNy along the second axis and one block of size
C | Nr along the vertical (third) axis.
C | Blocks/tiles have overlap regions of size OLx and OLy
C | along the dimensions that are subdivided.
C *==========================================================*
C \ev
C
C Voodoo numbers controlling data layout:
C sNx :: Number of X points in tile.
C sNy :: Number of Y points in tile.
C OLx :: Tile overlap extent in X.
C OLy :: Tile overlap extent in Y.
C nSx :: Number of tiles per process in X.
C nSy :: Number of tiles per process in Y.
C nPx :: Number of processes to use in X.
C nPy :: Number of processes to use in Y.
C Nx :: Number of points in X for the full domain.
C Ny :: Number of points in Y for the full domain.
C Nr :: Number of points in vertical direction.
CEOP
INTEGER sNx
INTEGER sNy
INTEGER OLx
INTEGER OLy
INTEGER nSx
INTEGER nSy
INTEGER nPx
INTEGER nPy
INTEGER Nx
INTEGER Ny
INTEGER Nr
PARAMETER (
& sNx = 45,
& sNy = 40,
& OLx = 2,
& OLy = 2,
& nSx = 2,
& nSy = 1,
& nPx = 1,
& nPy = 1,
& Nx = sNx*nSx*nPx,
& Ny = sNy*nSy*nPy,
& Nr = 15)
C MAX_OLX :: Set to the maximum overlap region size of any array
C MAX_OLY that will be exchanged. Controls the sizing of exch
C routine buffers.
INTEGER MAX_OLX
INTEGER MAX_OLY
PARAMETER ( MAX_OLX = OLx,
& MAX_OLY = OLy )
``` |

Four lines are customized in this file for the current experiment

Line 45,

sNx=45,

this line sets the number of grid points of each tile (or sub-domain) along the \(x\)-coordinate axis.

Line 46,

sNy=40,

this line sets the number of grid points of each tile (or sub-domain) along the \(y\)-coordinate axis.

Lines 49,51,

nSx=2, nPx=1,

these lines set, respectively, the number of tiles per process and the number of processes along the \(x\)-coordinate axis. Therefore, the total number of grid points along the \(x\)-coordinate axis corresponding to the full domain extent is \(Nx=sNx*nSx*nPx=90\).

Line 55,

Nr=15

this line sets the vertical domain extent in grid points.