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--- manual/s_getstarted/text/getting_started.tex	2004/10/13 05:06:25	1.26
+++ manual/s_getstarted/text/getting_started.tex	2004/10/14 14:24:28	1.27
@@ -1,4 +1,4 @@
-% $Header: /home/ubuntu/mnt/e9_copy/manual/s_getstarted/text/getting_started.tex,v 1.26 2004/10/13 05:06:25 cnh Exp $
+% $Header: /home/ubuntu/mnt/e9_copy/manual/s_getstarted/text/getting_started.tex,v 1.27 2004/10/14 14:24:28 cnh Exp $
 % $Name:  $
 
 %\section{Getting started}
@@ -79,7 +79,7 @@
 
 \end{enumerate}
 
-\subsubsection{Checkout from CVS}
+\subsection{Method 1 - Checkout from CVS}
 \label{sect:cvs_checkout}
 
 If CVS is available on your system, we strongly encourage you to use it. CVS
@@ -169,7 +169,7 @@
 \end{verbatim}
 
 
-\subsubsection{Conventional download method}
+\subsection{Method 2 - Tar file download}
 \label{sect:conventionalDownload}
 
 If you do not have CVS on your system, you can download the model as a
@@ -1059,422 +1059,3 @@
 >> for n=1:11; imagesc(eta(:,:,n)');axis ij;colorbar;pause(.5);end
 \end{verbatim}
 
-\section[Customizing MITgcm]{Doing it yourself: customizing the code}
-
-When you are ready to run the model in the configuration you want, the
-easiest thing is to use and adapt the setup of the case studies
-experiment (described previously) that is the closest to your
-configuration. Then, the amount of setup will be minimized. In this
-section, we focus on the setup relative to the ``numerical model''
-part of the code (the setup relative to the ``execution environment''
-part is covered in the parallel implementation section) and on the
-variables and parameters that you are likely to change.
-
-\subsection{Configuration and setup}
-
-The CPP keys relative to the ``numerical model'' part of the code are
-all defined and set in the file \textit{CPP\_OPTIONS.h }in the
-directory \textit{ model/inc }or in one of the \textit{code
-}directories of the case study experiments under
-\textit{verification.} The model parameters are defined and declared
-in the file \textit{model/inc/PARAMS.h }and their default values are
-set in the routine \textit{model/src/set\_defaults.F. }The default
-values can be modified in the namelist file \textit{data }which needs
-to be located in the directory where you will run the model. The
-parameters are initialized in the routine
-\textit{model/src/ini\_parms.F}.  Look at this routine to see in what
-part of the namelist the parameters are located.
-
-In what follows the parameters are grouped into categories related to
-the computational domain, the equations solved in the model, and the
-simulation controls.
-
-\subsection{Computational domain, geometry and time-discretization}
-
-\begin{description}
-\item[dimensions] \ 
-  
-  The number of points in the x, y, and r directions are represented
-  by the variables \textbf{sNx}, \textbf{sNy} and \textbf{Nr}
-  respectively which are declared and set in the file
-  \textit{model/inc/SIZE.h}.  (Again, this assumes a mono-processor
-  calculation. For multiprocessor calculations see the section on
-  parallel implementation.)
-
-\item[grid] \ 
-  
-  Three different grids are available: cartesian, spherical polar, and
-  curvilinear (which includes the cubed sphere). The grid is set
-  through the logical variables \textbf{usingCartesianGrid},
-  \textbf{usingSphericalPolarGrid}, and \textbf{usingCurvilinearGrid}.
-  In the case of spherical and curvilinear grids, the southern
-  boundary is defined through the variable \textbf{phiMin} which
-  corresponds to the latitude of the southern most cell face (in
-  degrees). The resolution along the x and y directions is controlled
-  by the 1D arrays \textbf{delx} and \textbf{dely} (in meters in the
-  case of a cartesian grid, in degrees otherwise).  The vertical grid
-  spacing is set through the 1D array \textbf{delz} for the ocean (in
-  meters) or \textbf{delp} for the atmosphere (in Pa).  The variable
-  \textbf{Ro\_SeaLevel} represents the standard position of Sea-Level
-  in ``R'' coordinate. This is typically set to 0m for the ocean
-  (default value) and 10$^{5}$Pa for the atmosphere. For the
-  atmosphere, also set the logical variable \textbf{groundAtK1} to
-  \texttt{'.TRUE.'} which puts the first level (k=1) at the lower
-  boundary (ground).
-  
-  For the cartesian grid case, the Coriolis parameter $f$ is set
-  through the variables \textbf{f0} and \textbf{beta} which correspond
-  to the reference Coriolis parameter (in s$^{-1}$) and
-  $\frac{\partial f}{ \partial y}$(in m$^{-1}$s$^{-1}$) respectively.
-  If \textbf{beta } is set to a nonzero value, \textbf{f0} is the
-  value of $f$ at the southern edge of the domain.
-
-\item[topography - full and partial cells] \ 
-  
-  The domain bathymetry is read from a file that contains a 2D (x,y)
-  map of depths (in m) for the ocean or pressures (in Pa) for the
-  atmosphere. The file name is represented by the variable
-  \textbf{bathyFile}. The file is assumed to contain binary numbers
-  giving the depth (pressure) 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 model code
-  applies without modification to enclosed, periodic, and double
-  periodic domains. Periodicity is assumed by default and is
-  suppressed by setting the depths to 0m for the cells at the limits
-  of the computational domain (note: not sure this is the case for the
-  atmosphere). The precision with which to read the binary data is
-  controlled by the integer variable \textbf{readBinaryPrec} which can
-  take the value \texttt{32} (single precision) or \texttt{64} (double
-  precision). See the matlab program \textit{gendata.m} in the
-  \textit{input} directories under \textit{verification} to see how
-  the bathymetry files are generated for the case study experiments.
-  
-  To use the partial cell capability, the variable \textbf{hFacMin}
-  needs to be set to a value between 0 and 1 (it is set to 1 by
-  default) corresponding to the minimum fractional size of the cell.
-  For example if the bottom cell is 500m thick and \textbf{hFacMin} is
-  set to 0.1, the actual thickness of the cell (i.e. used in the code)
-  can cover a range of discrete values 50m apart from 50m to 500m
-  depending on the value of the bottom depth (in \textbf{bathyFile})
-  at this point.
-  
-  Note that the bottom depths (or pressures) need not coincide with
-  the models levels as deduced from \textbf{delz} or \textbf{delp}.
-  The model will interpolate the numbers in \textbf{bathyFile} so that
-  they match the levels obtained from \textbf{delz} or \textbf{delp}
-  and \textbf{hFacMin}.
-  
-  (Note: the atmospheric case is a bit more complicated than what is
-  written here I think. To come soon...)
-
-\item[time-discretization] \ 
-  
-  The time steps are set through the real variables \textbf{deltaTMom}
-  and \textbf{deltaTtracer} (in s) which represent the time step for
-  the momentum and tracer equations, respectively. For synchronous
-  integrations, simply set the two variables to the same value (or you
-  can prescribe one time step only through the variable
-  \textbf{deltaT}). The Adams-Bashforth stabilizing parameter is set
-  through the variable \textbf{abEps} (dimensionless). The stagger
-  baroclinic time stepping can be activated by setting the logical
-  variable \textbf{staggerTimeStep} to \texttt{'.TRUE.'}.
-
-\end{description}
-
-
-\subsection{Equation of state}
-
-First, because the model equations are written in terms of
-perturbations, a reference thermodynamic state needs to be specified.
-This is done through the 1D arrays \textbf{tRef} and \textbf{sRef}.
-\textbf{tRef} specifies the reference potential temperature profile
-(in $^{o}$C for the ocean and $^{o}$K for the atmosphere) starting
-from the level k=1. Similarly, \textbf{sRef} specifies the reference
-salinity profile (in ppt) for the ocean or the reference specific
-humidity profile (in g/kg) for the atmosphere.
-
-The form of the equation of state is controlled by the character
-variables \textbf{buoyancyRelation} and \textbf{eosType}.
-\textbf{buoyancyRelation} is set to \texttt{'OCEANIC'} by default and
-needs to be set to \texttt{'ATMOSPHERIC'} for atmosphere simulations.
-In this case, \textbf{eosType} must be set to \texttt{'IDEALGAS'}.
-For the ocean, two forms of the equation of state are available:
-linear (set \textbf{eosType} to \texttt{'LINEAR'}) and a polynomial
-approximation to the full nonlinear equation ( set \textbf{eosType} to
-\texttt{'POLYNOMIAL'}). In the linear case, you need to specify the
-thermal and haline expansion coefficients represented by the variables
-\textbf{tAlpha} (in K$^{-1}$) and \textbf{sBeta} (in ppt$^{-1}$). For
-the nonlinear case, you need to generate a file of polynomial
-coefficients called \textit{POLY3.COEFFS}. To do this, use the program
-\textit{utils/knudsen2/knudsen2.f} under the model tree (a Makefile is
-available in the same directory and you will need to edit the number
-and the values of the vertical levels in \textit{knudsen2.f} so that
-they match those of your configuration).
-
-There there are also higher polynomials for the equation of state:
-\begin{description}
-\item[\texttt{'UNESCO'}:] The UNESCO equation of state formula of
-  Fofonoff and Millard \cite{fofonoff83}. This equation of state
-  assumes in-situ temperature, which is not a model variable; {\em its
-    use is therefore discouraged, and it is only listed for
-    completeness}.
-\item[\texttt{'JMD95Z'}:] A modified UNESCO formula by Jackett and
-  McDougall \cite{jackett95}, which uses the model variable potential
-  temperature as input. The \texttt{'Z'} indicates that this equation
-  of state uses a horizontally and temporally constant pressure
-  $p_{0}=-g\rho_{0}z$. 
-\item[\texttt{'JMD95P'}:] A modified UNESCO formula by Jackett and
-  McDougall \cite{jackett95}, which uses the model variable potential
-  temperature as input. The \texttt{'P'} indicates that this equation
-  of state uses the actual hydrostatic pressure of the last time
-  step. Lagging the pressure in this way requires an additional pickup
-  file for restarts.
-\item[\texttt{'MDJWF'}:] The new, more accurate and less expensive
-  equation of state by McDougall et~al. \cite{mcdougall03}. It also
-  requires lagging the pressure and therefore an additional pickup
-  file for restarts.
-\end{description}
-For none of these options an reference profile of temperature or
-salinity is required.
-
-\subsection{Momentum equations}
-
-In this section, we only focus for now on the parameters that you are
-likely to change, i.e. the ones relative to forcing and dissipation
-for example.  The details relevant to the vector-invariant form of the
-equations and the various advection schemes are not covered for the
-moment. We assume that you use the standard form of the momentum
-equations (i.e. the flux-form) with the default advection scheme.
-Also, there are a few logical variables that allow you to turn on/off
-various terms in the momentum equation. These variables are called
-\textbf{momViscosity, momAdvection, momForcing, useCoriolis,
-  momPressureForcing, momStepping} and \textbf{metricTerms }and are
-assumed to be set to \texttt{'.TRUE.'} here.  Look at the file
-\textit{model/inc/PARAMS.h }for a precise definition of these
-variables.
-
-\begin{description}
-\item[initialization] \ 
-  
-  The velocity components are initialized to 0 unless the simulation
-  is starting from a pickup file (see section on simulation control
-  parameters).
-
-\item[forcing] \ 
-  
-  This section only applies to the ocean. You need to generate
-  wind-stress data into two files \textbf{zonalWindFile} and
-  \textbf{meridWindFile} corresponding to the zonal and meridional
-  components of the wind stress, respectively (if you want the stress
-  to be along the direction of only one of the model horizontal axes,
-  you only need to generate one file). The format of the files is
-  similar to the bathymetry file. The zonal (meridional) stress data
-  are assumed to be in Pa and located at U-points (V-points). As for
-  the bathymetry, the precision with which to read the binary data is
-  controlled by the variable \textbf{readBinaryPrec}.  See the matlab
-  program \textit{gendata.m} in the \textit{input} directories under
-  \textit{verification} to see how simple analytical wind forcing data
-  are generated for the case study experiments.
-  
-  There is also the possibility of prescribing time-dependent periodic
-  forcing. To do this, concatenate the successive time records into a
-  single file (for each stress component) ordered in a (x,y,t) fashion
-  and set the following variables: \textbf{periodicExternalForcing }to
-  \texttt{'.TRUE.'}, \textbf{externForcingPeriod }to the period (in s)
-  of which the forcing varies (typically 1 month), and
-  \textbf{externForcingCycle} to the repeat time (in s) of the forcing
-  (typically 1 year -- note: \textbf{ externForcingCycle} must be a
-  multiple of \textbf{externForcingPeriod}).  With these variables set
-  up, the model will interpolate the forcing linearly at each
-  iteration.
-
-\item[dissipation] \ 
-  
-  The lateral eddy viscosity coefficient is specified through the
-  variable \textbf{viscAh} (in m$^{2}$s$^{-1}$). The vertical eddy
-  viscosity coefficient is specified through the variable
-  \textbf{viscAz} (in m$^{2}$s$^{-1}$) for the ocean and
-  \textbf{viscAp} (in Pa$^{2}$s$^{-1}$) for the atmosphere.  The
-  vertical diffusive fluxes can be computed implicitly by setting the
-  logical variable \textbf{implicitViscosity }to \texttt{'.TRUE.'}.
-  In addition, biharmonic mixing can be added as well through the
-  variable \textbf{viscA4} (in m$^{4}$s$^{-1}$). On a spherical polar
-  grid, you might also need to set the variable \textbf{cosPower}
-  which is set to 0 by default and which represents the power of
-  cosine of latitude to multiply viscosity. Slip or no-slip conditions
-  at lateral and bottom boundaries are specified through the logical
-  variables \textbf{no\_slip\_sides} and \textbf{no\_slip\_bottom}. If
-  set to \texttt{'.FALSE.'}, free-slip boundary conditions are
-  applied. If no-slip boundary conditions are applied at the bottom, a
-  bottom drag can be applied as well. Two forms are available: linear
-  (set the variable \textbf{bottomDragLinear} in s$ ^{-1}$) and
-  quadratic (set the variable \textbf{bottomDragQuadratic} in
-  m$^{-1}$).
-
-  The Fourier and Shapiro filters are described elsewhere.
-
-\item[C-D scheme] \ 
-  
-  If you run at a sufficiently coarse resolution, you will need the
-  C-D scheme for the computation of the Coriolis terms. The
-  variable\textbf{\ tauCD}, which represents the C-D scheme coupling
-  timescale (in s) needs to be set.
-  
-\item[calculation of pressure/geopotential] \ 
-  
-  First, to run a non-hydrostatic ocean simulation, set the logical
-  variable \textbf{nonHydrostatic} to \texttt{'.TRUE.'}. The pressure
-  field is then inverted through a 3D elliptic equation. (Note: this
-  capability is not available for the atmosphere yet.) By default, a
-  hydrostatic simulation is assumed and a 2D elliptic equation is used
-  to invert the pressure field. The parameters controlling the
-  behaviour of the elliptic solvers are the variables
-  \textbf{cg2dMaxIters} and \textbf{cg2dTargetResidual } for
-  the 2D case and \textbf{cg3dMaxIters} and
-  \textbf{cg3dTargetResidual} for the 3D case. You probably won't need to
-  alter the default values (are we sure of this?).
-  
-  For the calculation of the surface pressure (for the ocean) or
-  surface geopotential (for the atmosphere) you need to set the
-  logical variables \textbf{rigidLid} and \textbf{implicitFreeSurface}
-  (set one to \texttt{'.TRUE.'} and the other to \texttt{'.FALSE.'}
-  depending on how you want to deal with the ocean upper or atmosphere
-  lower boundary).
-
-\end{description} 
-
-\subsection{Tracer equations}
-
-This section covers the tracer equations i.e. the potential
-temperature equation and the salinity (for the ocean) or specific
-humidity (for the atmosphere) equation. As for the momentum equations,
-we only describe for now the parameters that you are likely to change.
-The logical variables \textbf{tempDiffusion} \textbf{tempAdvection}
-\textbf{tempForcing}, and \textbf{tempStepping} allow you to turn
-on/off terms in the temperature equation (same thing for salinity or
-specific humidity with variables \textbf{saltDiffusion},
-\textbf{saltAdvection} etc.). These variables are all assumed here to
-be set to \texttt{'.TRUE.'}. Look at file \textit{model/inc/PARAMS.h}
-for a precise definition.
-
-\begin{description}
-\item[initialization] \ 
-  
-  The initial tracer data can be contained in the binary files
-  \textbf{hydrogThetaFile} and \textbf{hydrogSaltFile}. These files
-  should contain 3D data ordered in an (x,y,r) fashion with k=1 as the
-  first vertical level.  If no file names are provided, the tracers
-  are then initialized with the values of \textbf{tRef} and
-  \textbf{sRef} mentioned above (in the equation of state section). In
-  this case, the initial tracer data are uniform in x and y for each
-  depth level.
-
-\item[forcing] \ 
-  
-  This part is more relevant for the ocean, the procedure for the
-  atmosphere not being completely stabilized at the moment.
-  
-  A combination of fluxes data and relaxation terms can be used for
-  driving the tracer equations.  For potential temperature, heat flux
-  data (in W/m$ ^{2}$) can be stored in the 2D binary file
-  \textbf{surfQfile}.  Alternatively or in addition, the forcing can
-  be specified through a relaxation term. The SST data to which the
-  model surface temperatures are restored to are supposed to be stored
-  in the 2D binary file \textbf{thetaClimFile}. The corresponding
-  relaxation time scale coefficient is set through the variable
-  \textbf{tauThetaClimRelax} (in s). The same procedure applies for
-  salinity with the variable names \textbf{EmPmRfile},
-  \textbf{saltClimFile}, and \textbf{tauSaltClimRelax} for freshwater
-  flux (in m/s) and surface salinity (in ppt) data files and
-  relaxation time scale coefficient (in s), respectively. Also for
-  salinity, if the CPP key \textbf{USE\_NATURAL\_BCS} is turned on,
-  natural boundary conditions are applied i.e. when computing the
-  surface salinity tendency, the freshwater flux is multiplied by the
-  model surface salinity instead of a constant salinity value.
-  
-  As for the other input files, the precision with which to read the
-  data is controlled by the variable \textbf{readBinaryPrec}.
-  Time-dependent, periodic forcing can be applied as well following
-  the same procedure used for the wind forcing data (see above).
-
-\item[dissipation] \ 
-  
-  Lateral eddy diffusivities for temperature and salinity/specific
-  humidity are specified through the variables \textbf{diffKhT} and
-  \textbf{diffKhS} (in m$^{2}$/s). Vertical eddy diffusivities are
-  specified through the variables \textbf{diffKzT} and
-  \textbf{diffKzS} (in m$^{2}$/s) for the ocean and \textbf{diffKpT
-  }and \textbf{diffKpS} (in Pa$^{2}$/s) for the atmosphere. The
-  vertical diffusive fluxes can be computed implicitly by setting the
-  logical variable \textbf{implicitDiffusion} to \texttt{'.TRUE.'}.
-  In addition, biharmonic diffusivities can be specified as well
-  through the coefficients \textbf{diffK4T} and \textbf{diffK4S} (in
-  m$^{4}$/s). Note that the cosine power scaling (specified through
-  \textbf{cosPower}---see the momentum equations section) is applied to
-  the tracer diffusivities (Laplacian and biharmonic) as well. The
-  Gent and McWilliams parameterization for oceanic tracers is
-  described in the package section. Finally, note that tracers can be
-  also subject to Fourier and Shapiro filtering (see the corresponding
-  section on these filters).
-
-\item[ocean convection] \ 
-  
-  Two options are available to parameterize ocean convection: one is
-  to use the convective adjustment scheme. In this case, you need to
-  set the variable \textbf{cadjFreq}, which represents the frequency
-  (in s) with which the adjustment algorithm is called, to a non-zero
-  value (if set to a negative value by the user, the model will set it
-  to the tracer time step). The other option is to parameterize
-  convection with implicit vertical diffusion. To do this, set the
-  logical variable \textbf{implicitDiffusion} to \texttt{'.TRUE.'}
-  and the real variable \textbf{ivdc\_kappa} to a value (in m$^{2}$/s)
-  you wish the tracer vertical diffusivities to have when mixing
-  tracers vertically due to static instabilities. Note that
-  \textbf{cadjFreq} and \textbf{ivdc\_kappa}can not both have non-zero
-  value.
-
-\end{description}
-
-\subsection{Simulation controls}
-
-The model ''clock'' is defined by the variable \textbf{deltaTClock}
-(in s) which determines the IO frequencies and is used in tagging
-output.  Typically, you will set it to the tracer time step for
-accelerated runs (otherwise it is simply set to the default time step
-\textbf{deltaT}).  Frequency of checkpointing and dumping of the model
-state are referenced to this clock (see below).
-
-\begin{description}
-\item[run duration] \ 
-  
-  The beginning of a simulation is set by specifying a start time (in
-  s) through the real variable \textbf{startTime} or by specifying an
-  initial iteration number through the integer variable
-  \textbf{nIter0}. If these variables are set to nonzero values, the
-  model will look for a ''pickup'' file \textit{pickup.0000nIter0} to
-  restart the integration. The end of a simulation is set through the
-  real variable \textbf{endTime} (in s).  Alternatively, you can
-  specify instead the number of time steps to execute through the
-  integer variable \textbf{nTimeSteps}.
-
-\item[frequency of output] \
-  
-  Real variables defining frequencies (in s) with which output files
-  are written on disk need to be set up. \textbf{dumpFreq} controls
-  the frequency with which the instantaneous state of the model is
-  saved. \textbf{chkPtFreq} and \textbf{pchkPtFreq} control the output
-  frequency of rolling and permanent checkpoint files, respectively.
-  See section 1.5.1 Output files for the definition of model state and
-  checkpoint files. In addition, time-averaged fields can be written
-  out by setting the variable \textbf{taveFreq} (in s).  The precision
-  with which to write the binary data is controlled by the integer
-  variable w\textbf{riteBinaryPrec} (set it to \texttt{32} or
-  \texttt{64}).
-
-\end{description}
-
-
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