% $Header: /home/ubuntu/mnt/e9_copy/manual/s_autodiff/Attic/doc_ad_examples.tex,v 1.1 2002/02/28 19:32:20 cnh Exp $ % $Name: $ %********************************************************************** \section{Sensitivity of Air-Sea Exchange to Tracer Injection Site } \label{sect:eg-simple-tracer-adjoint} \label{sec_ad_setup_ex} %********************************************************************** The MITGCM has been adapted to enable AD using TAMC or TAF. The present description, therefore, is specific to the use of TAMC or TAF as AD tool. The following sections describe the steps which are necessary to generate a tangent linear or adjoint model of the MITGCM. We take as an example the sensitivity of carbon sequestration in the ocean. The AD-relevant hooks in the code are sketched in \ref{fig:adthemodel}, \ref{fig:adthemain}. \subsection{Overview of the experiment} We describe an adjoint sensitivity analysis of out-gassing from the ocean into the atmosphere of a carbon-like tracer injected into the ocean interior (see \cite{hil-eta:01}). \subsubsection{Passive tracer equation} For this work the MITGCM was augmented with a thermodynamically inactive tracer, $C$. Tracer residing in the ocean model surface layer is out-gassed according to a relaxation time scale, $\mu$. Within the ocean interior, the tracer is passively advected by the ocean model currents. The full equation for the time evolution % \begin{equation} \label{carbon_ddt} \frac{\partial C}{\partial t} \, = \, -U\cdot \nabla C \, - \, \mu C \, + \, \Gamma(C) \,+ \, S \end{equation} % also includes a source term $S$. This term represents interior sources of $C$ such as would arise due to direct injection. The velocity term, $U$, is the sum of the model Eulerian circulation and an eddy-induced velocity, the latter parameterized according to Gent/McWilliams (\cite{gen-mcw:90, gen-eta:95}). The convection function, $\Gamma$, mixes $C$ vertically wherever the fluid is locally statically unstable. The out-gassing time scale, $\mu$, in eqn. (\ref{carbon_ddt}) is set so that \( 1/\mu \sim 1 \ \mathrm{year} \) for the surface ocean and $\mu=0$ elsewhere. With this value, eqn. (\ref{carbon_ddt}) is valid as a prognostic equation for small perturbations in oceanic carbon concentrations. This configuration provides a powerful tool for examining the impact of large-scale ocean circulation on $ CO_2 $ out-gassing due to interior injections. As source we choose a constant in time injection of $ S = 1 \,\, {\rm mol / s}$. \subsubsection{Model configuration} The model configuration employed has a constant $4^\circ \times 4^\circ$ resolution horizontal grid and realistic geography and bathymetry. Twenty vertical layers are used with vertical spacing ranging from 50 m near the surface to 815 m at depth. Driven to steady-state by climatological wind-stress, heat and fresh-water forcing the model reproduces well known large-scale features of the ocean general circulation. \subsubsection{Out-gassing cost function} To quantify and understand out-gassing due to injections of $C$ in eqn. (\ref{carbon_ddt}), we define a cost function $ {\cal J} $ that measures the total amount of tracer out-gassed at each timestep: % \begin{equation} \label{cost_tracer} {\cal J}(t=T)=\int_{t=0}^{t=T}\int_{A} \mu C \, dA \, dt \end{equation} % Equation(\ref{cost_tracer}) integrates the out-gassing term, $\mu C$, from (\ref{carbon_ddt}) over the entire ocean surface area, $A$, and accumulates it up to time $T$. Physically, ${\cal J}$ can be thought of as representing the amount of $CO_2$ that our model predicts would be out-gassed following an injection at rate $S$. The sensitivity of ${\cal J}$ to the spatial location of $S$, $\frac{\partial {\cal J}}{\partial S}$, can be used to identify regions from which circulation would cause $CO_2$ to rapidly out-gas following injection and regions in which $CO_2$ injections would remain effectively sequestered within the ocean. \subsection{Code configuration} The model configuration for this experiment resides under the directory {\it verification/carbon/}. The code customization routines are in {\it verification/carbon/code/}: % \begin{itemize} % \item {\it .genmakerc} % \item {\it COST\_CPPOPTIONS.h} % \item {\it CPP\_EEOPTIONS.h} % \item {\it CPP\_OPTIONS.h} % \item {\it CTRL\_OPTIONS.h} % \item {\it ECCO\_OPTIONS.h} % \item {\it SIZE.h} % \item {\it adcommon.h} % \item {\it tamc.h} % \end{itemize} % The runtime flag and parameters settings are contained in {\it verification/carbon/input/}, together with the forcing fields and and restart files: % \begin{itemize} % \item {\it data} % \item {\it data.cost} % \item {\it data.ctrl} % \item {\it data.gmredi} % \item {\it data.grdchk} % \item {\it data.optim} % \item {\it data.pkg} % \item {\it eedata} % \item {\it topog.bin} % \item {\it windx.bin, windy.bin} % \item {\it salt.bin, theta.bin} % \item {\it SSS.bin, SST.bin} % \item {\it pickup*} % \end{itemize} % Finally, the file to generate the adjoint code resides in $ adjoint/ $: % \begin{itemize} % \item {\it makefile} % \end{itemize} % Below we describe the customizations of this files which are specific to this experiment. \subsubsection{File {\it .genmakerc}} This file overwrites default settings of {\it genmake}. In the present example it is used to switch on the following packages which are related to automatic differentiation and are disabled by default: \\ \hspace*{4ex} {\tt set ENABLE=( autodiff cost ctrl ecco gmredi grdchk kpp )} \\ Other packages which are not needed are switched off: \\ \hspace*{4ex} {\tt set DISABLE=( aim obcs zonal\_filt shap\_filt cal exf )} \subsubsection{File {\it COST\_CPPOPTIONS.h, CTRL\_OPTIONS.h}} These files used to contain package-specific CPP-options (see Section \ref{???}). For technical reasons those options have been grouped together in the file {\it ECCO\_OPTIONS.h}. To retain the modularity, the files have been kept and contain the standard include of the {\it CPP\_OPTIONS.h} file. \subsubsection{File {\it CPP\_EEOPTIONS.h}} This file contains 'wrapper'-specific CPP options. It only needs to be changed if the code is to be run in a parallel environment (see Section \ref{???}). \subsubsection{File {\it CPP\_OPTIONS.h}} This file contains model-specific CPP options (see Section \ref{???}). Most options are related to the forward model setup. They are identical to the global steady circulation setup of {\it verification/exp2/}. The three options specific to this experiment are \\ \hspace*{4ex} {\tt \#define ALLOW\_PASSIVE\_TRACER} \\ This flag enables the code to carry through the advection/diffusion of a passive tracer along the model integration. \\ \hspace*{4ex} {\tt \#define ALLOW\_MIT\_ADJOINT\_RUN} \\ This flag enables the inclusion of some AD-related fields concerning initialization, link between control variables and forward model variables, and the call to the top-level forward/adjoint subroutine {\it adthe\_main\_loop} instead of {\it the\_main\_loop}. \\ \hspace*{4ex} {\tt \#define ALLOW\_GRADIENT\_CHECK} \\ This flag enables the gradient check package. After computing the unperturbed cost function and its gradient, a series of computations are performed for which \\ $\bullet$ an element of the control vector is perturbed \\ $\bullet$ the cost function w.r.t. the perturbed element is computed \\ $\bullet$ the difference between the perturbed and unperturbed cost function is computed to compute the finite difference gradient \\ $\bullet$ the finite difference gradient is compared with the adjoint-generated gradient. The gradient check package is further described in Section ???. \subsubsection{File {\it ECCO\_OPTIONS.h}} The CPP options of several AD-related packages are grouped in this file: % \begin{itemize} % \item Adjoint support package: {\it pkg/autodiff/} \\ This package contains hand-written adjoint code such as active file handling, flow directives for files which must not be differentiated, and TAMC-specific header files. \\ \hspace*{4ex} {\tt \#define ALLOW\_AUTODIFF\_TAMC} \\ defines TAMC-related features in the code. \\ \hspace*{4ex} {\tt \#define ALLOW\_TAMC\_CHECKPOINTING} \\ enables the checkpointing feature of TAMC (see Section \ref{???}). In the present example a 3-level checkpointing is implemented. The code contains the relevant store directives, common block and tape initializations, storing key computation, and loop index handling. The checkpointing length at each level is defined in file {\it tamc.h}, cf. below. % \item Cost function package: {\it pkg/cost/} \\ This package contains all relevant routines for initializing, accumulating and finalizing the cost function (see Section \ref{???}). \\ \hspace*{4ex} {\tt \#define ALLOW\_COST} \\ enables all general aspects of the cost function handling, in particular the hooks in the forward code for initializing, accumulating and finalizing the cost function. \\ \hspace*{4ex} {\tt \#define ALLOW\_COST\_TRACER} \\ includes the call to the cost function for this particular experiment, eqn. (\ref{cost_tracer}). % \item Control variable package: {\it pkg/ctrl/} \\ This package contains all relevant routines for the handling of the control vector. Each control variable can be enabled/disabled with its own flag: \\ \begin{tabular}{ll} \hspace*{2ex} {\tt \#define ALLOW\_THETA0\_CONTROL} & initial temperature \\ \hspace*{2ex} {\tt \#define ALLOW\_SALT0\_CONTROL} & initial salinity \\ \hspace*{2ex} {\tt \#define ALLOW\_TR0\_CONTROL} & initial passive tracer concentration \\ \hspace*{2ex} {\tt \#define ALLOW\_TAUU0\_CONTROL} & zonal wind stress \\ \hspace*{2ex} {\tt \#define ALLOW\_TAUV0\_CONTROL} & meridional wind stress \\ \hspace*{2ex} {\tt \#define ALLOW\_SFLUX0\_CONTROL} & freshwater flux \\ \hspace*{2ex} {\tt \#define ALLOW\_HFLUX0\_CONTROL} & heat flux \\ \hspace*{2ex} {\tt \#define ALLOW\_DIFFKR\_CONTROL} & diapycnal diffusivity \\ \hspace*{2ex} {\tt \#undef ALLOW\_KAPPAGM\_CONTROL} & isopycnal diffusivity \\ \end{tabular} % \end{itemize} \subsubsection{File {\it SIZE.h}} The file contains the grid point dimensions of the forward model. It is identical to the {\it verification/exp2/}: \\ \hspace*{4ex} {\tt sNx = 90} \\ \hspace*{4ex} {\tt sNy = 40} \\ \hspace*{4ex} {\tt Nr = 20} \\ It corresponds to a single-tile/single-processor setup: {\tt nSx = nSy = 1, nPx = nPy = 1}, with standard overlap dimensioning {\tt OLx = OLy = 3}. \subsubsection{File {\it adcommon.h}} This file contains common blocks of some adjoint variables that are generated by TAMC. The common blocks are used by the adjoint support routine {\it addummy\_in\_stepping} which needs to access those variables: \begin{tabular}{ll} \hspace*{4ex} {\tt common /addynvars\_r/} & \hspace*{4ex} is related to {\it DYNVARS.h} \\ \hspace*{4ex} {\tt common /addynvars\_cd/} & \hspace*{4ex} is related to {\it DYNVARS.h} \\ \hspace*{4ex} {\tt common /addynvars\_diffkr/} & \hspace*{4ex} is related to {\it DYNVARS.h} \\ \hspace*{4ex} {\tt common /addynvars\_kapgm/} & \hspace*{4ex} is related to {\it DYNVARS.h} \\ \hspace*{4ex} {\tt common /adtr1\_r/} & \hspace*{4ex} is related to {\it TR1.h} \\ \hspace*{4ex} {\tt common /adffields/} & \hspace*{4ex} is related to {\it FFIELDS.h}\\ \end{tabular} Note that if the structure of the common block changes in the above header files of the forward code, the structure of the adjoint common blocks will change accordingly. Thus, it has to be made sure that the structure of the adjoint common block in the hand-written file {\it adcommon.h} complies with the automatically generated adjoint common blocks in {\it adjoint\_model.F}. \subsubsection{File {\it tamc.h}} This routine contains the dimensions for TAMC checkpointing. % \begin{itemize} % \item {\tt \#ifdef ALLOW\_TAMC\_CHECKPOINTING} \\ 3-level checkpointing is enabled, i.e. the timestepping is divided into three different levels (see Section \ref{???}). The model state of the outermost ({\tt nchklev\_3}) and the intermediate ({\tt nchklev\_2}) timestepping loop are stored to file (handled in {\it the\_main\_loop}). The innermost loop ({\tt nchklev\_1}) avoids I/O by storing all required variables to common blocks. This storing may also be necessary if no checkpointing is chosen (nonlinear functions, if-statements, iterative loops, ...). In the present example the dimensions are chosen as follows: \\ \hspace*{4ex} {\tt nchklev\_1 = 36 } \\ \hspace*{4ex} {\tt nchklev\_2 = 30 } \\ \hspace*{4ex} {\tt nchklev\_3 = 60 } \\ To guarantee that the checkpointing intervals span the entire integration period the following relation must be satisfied: \\ \hspace*{4ex} {\tt nchklev\_1*nchklev\_2*nchklev\_3 $ \ge $ nTimeSteps} \\ where {\tt nTimeSteps} is either specified in {\it data} or computed via \\ \hspace*{4ex} {\tt nTimeSteps = (endTime-startTime)/deltaTClock }. % \item {\tt \#undef ALLOW\_TAMC\_CHECKPOINTING} \\ No checkpointing is enabled. In this case the relevant counter is {\tt nchklev\_0}. Similar to above, the following relation has to be satisfied \\ \hspace*{4ex} {\tt nchklev\_0 $ \ge $ nTimeSteps}. % \end{itemize} The following parameters may be worth describing: \\ % \hspace*{4ex} {\tt isbyte} \\ \hspace*{4ex} {\tt maxpass} \\ ~ \subsubsection{File {\it makefile}} This file contains all relevant parameter flags and lists to run TAMC or TAF. It is assumed that TAMC is available to you, either locally, being installed on your network, or remotely through the 'TAMC Utility'. TAMC is called with the command {\tt tamc} followed by a number of options. They are described in detail in the TAMC manual \cite{gie:99}. Here we briefly discuss the main flags used in the {\it makefile} % \begin{itemize} \item [{\tt tamc}] {\tt -input -output -r4 ... \\ -toplevel -reverse } \end{itemize} % \begin{itemize} % \item {\tt -toplevel } \\ Name of the toplevel routine, with respect to which the control flow analysis is performed. % \item {\tt -input } \\ List of independent variables $ u $ with respect to which the dependent variable $ J $ is differentiated. % \item {\tt -output } \\ Dependent variable $ J $ which is to be differentiated. % \item {\tt -reverse } \\ Adjoint code is generated to compute the sensitivity of an independent variable w.r.t. many dependent variables. In the discussion of Section ??? the generated adjoint top-level routine computes the product of the transposed Jacobian matrix $ M^T $ times the gradient vector $ \nabla_v J $. \\ {\tt } refers to the list of files {\it .f} which are to be analyzed by TAMC. This list is generally smaller than the full list of code to be compiled. The files not contained are either above the top-level routine (some initializations), or are deliberately hidden from TAMC, either because hand-written adjoint routines exist, or the routines must not (or don't have to) be differentiated. For each routine which is part of the flow tree of the top-level routine, but deliberately hidden from TAMC (or for each package which contains such routines), a corresponding file {\it .flow} exists containing flow directives for TAMC. % \item {\tt -r4} \\ ~ % \end{itemize} \subsubsection{The input parameter files} \paragraph{File {\it data}} \paragraph{File {\it data.cost}} \paragraph{File {\it data.ctrl}} \paragraph{File {\it data.gmredi}} \paragraph{File {\it data.grdchk}} \paragraph{File {\it data.optim}} \paragraph{File {\it data.pkg}} \paragraph{File {\it eedata}} \paragraph{File {\it topog.bin}} \paragraph{File {\it windx.bin, windy.bin}} \paragraph{File {\it salt.bin, theta.bin}} \paragraph{File {\it SSS.bin, SST.bin}} \paragraph{File {\it pickup*}} \subsection{Compiling the model and its adjoint} The built process of the adjoint model is slightly more complex than that of compiling the forward code. The main reason is that the adjoint code generation requires a specific list of routines that are to be differentiated (as opposed to the automatic generation of a list of files to be compiled by genmake). This list excludes routines that don't have to be or must not be differentiated. For some of the latter routines flow directives may be necessary, a list of which has to be given as well. For this reason, a separate {\it makefile} is currently maintained in the directory {\tt adjoint/}. This makefile is responsible for the adjoint code generation. In the following we describe the build process step by step, assuming you are in the directory {\tt bin/}. A summary of steps to follow is given at the end. \paragraph{Adjoint code generation and compilation -- step by step} \begin{enumerate} % \item {\tt ln -s ../verification/???/code/.genmakerc .} \\ {\tt ln -s ../verification/???/code/*.[Fh] .} \\ Link your customized genmake options, header files, and modified code to the compile directory. % \item {\tt ../tools/genmake -makefile} \\ Generate your Makefile (cf. Section ???). % \item {\tt make depend} \\ Dependency analysis for the CPP pre-compiler (cf. Section ???). % \item {\tt make small\_f} \\ This is the first difference between forward code compilation and adjoint code generation and compilation. Instead of going through the entire compilation process (CPP precompiling -- {\tt .f}, object code generation -- {\tt .o}, linking of object files and libraries to generate executable), only the CPP compiler is invoked at this stage to generate the {\tt .f} files. % \item {\tt cd ../adjoint} \\ {\tt make adtaf} or {\tt make adtamc} \\ Depending on whether you have TAF or TAMC at your disposal, you'll choose {\tt adtaf} or {\tt adtamc} as your make target for the {\it makefile} in the directory {\tt adjoint/}. Several things happen at this stage. % \begin{enumerate} % \item The initial template file {\it adjoint\_model.F} which is part of the compiling list created by {\it genmake} is restored. % \item All Fortran routines {\tt *.f} in {\tt bin/} are concatenated into a single file (it's current name is {\it tamc\_code.f}). % \item Adjoint code is generated by TAMC or TAF. The adjoint code is written to the file {\it tamc\_code\_ad.f}. It contains all adjoint routines of the forward routines concatenated in {\it tamc\_code.f}. For a given forward routines {\tt subroutine routinename} the adjoint routine is named {\tt adsubroutine routinename} by default (that default can be changed via the flag {\tt -admark }). Furthermore, it may contain modified code which incorporates the translation of adjoint store directives into specific Fortran code. For a given forward routines {\tt subroutine routinename} the modified routine is named {\tt mdsubroutine routinename}. TAMC or TAF info is written to file {\it tamc\_code.prot} or {\it taf.log}, respectively. % \end{enumerate} % \item {\tt make adchange} \\ The multi-threading capability of the MITGCM requires a slight change in the parameter list of some routines that are related to to active file handling. This post-processing invokes the sed script {\it adjoint\_ecco\_sed.com} to insert the threading counter {\bf myThId} into the parameter list of those subroutines. The resulting code is written to file {\it tamc\_code\_sed\_ad.f} and appended to the file {\it adjoint\_model.F}. This concludes the adjoint code generation. % \item {\tt cd ../bin} \\ {\tt make} \\ The file {\it adjoint\_model.F} now contains the full adjoint code. All routines are now compiled. % \end{enumerate} \paragraph{Adjoint code generation and compilation -- summary} ~ \\ \[ \boxed{ \begin{split} ~ & \mbox{\tt cd bin} \\ ~ & \mbox{\tt ln -s ../verification/my\_experiment/code/.genmakerc .} \\ ~ & \mbox{\tt ln -s ../verification/my\_experiment/code/*.[Fh] .} \\ ~ & \mbox{\tt ../tools/genmake -makefile} \\ ~ & \mbox{\tt make depend} \\ ~ & \mbox{\tt make small\_f} \\ ~ & \mbox{\tt cd ../adjoint} \\ ~ & \mbox{\tt make adtaf } \\ ~ & \mbox{\tt make adchange} \\ ~ & \mbox{\tt cd ../bin} \\ ~ & \mbox{\tt make} \\ \end{split} } \]