Setting Up the Fortuna 2.0 Single Column Model

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This page describes the steps and modifications necessary to build and run the Single Column Model (SCM) under Fortuna 2.0 on discover. It assumes that you have successfully run the model as described in GEOS-5 Quick Start.

Checking Out and Modifying GEOS-5 for SCM

First, check out the Fortuna 2.0 code as usual: 

cvs co -r  Fortuna-2_0  Fortuna

Then cd to the directory 

GEOSagcm/src/GEOSgcs_GridComp/GEOSgcm_GridComp/GEOSagcm_GridComp/GEOSsuperdyn_GridComp/GEOSdatmodyn_GridComp

and update these files from the SCM branch: 

cvs upd -r b_Fortuna-2_0_SCM GEOS_DatmoDynGridComp.F90 reader.F90

Then compile the model as usual.

The modifications in the SCM branch will eventually be merged with the main branch so that this step is unnecessary.

Setting Up and Running Existing SCM Experiments

The setup script for the SCM experiments is /discover/nobackup/aeichman/scm/setup/getSCMdata.sh . You do not have to run the gcm_setup script as you do to set up a global run.

At the time of this writing there are six experiments to choose from:

Create your own directory and copy to it the script getSCMdata.sh, then modify and uncomment the first executable line, which creates a symbolic link to the model executable (GEOSagcm/Linux/bin/GEOSgcm.x), so that it points to your own model executable. Uncomment one of the lines that assign the variable SOURCEDIR to choose the experiment to run. Then run the script. It will copy all of the necessary resource, forcing and data files to the working directory. Each experiment requires its own directory. If you modify the resource files (e.g., HISTORY.rc) you may want to copy the setup directory to your own area and modify it and the setup script accordingly so that you don't clobber your modifications.

Then you can just run the model executable from the command line in the directory you created. You will have to load the proper modules by sourcing GEOSagcm/src/g5_modules. Although it runs with a single processor, on discover you should run it from an interactive job on a compute node (as opposed to the discover front end). Since all of the necessary configuration files are copied to the experiment directory, it requires none of the extra environmental infrastructure needed for a global experiment that the run script gcm_run.j creates.

Creating Driving Datasets from MERRA

Given the resource and other files that come with a complete SCM configuration (either from an existing case or create with the procedure below), a driving data file for the same location and time span can be generated using MERRA output. Users should note that this current scheme for MERRA data does not include analysis increments in the advection terms, and probably should.

Obtaining MERRA Data

MERRA output files are located under /archive on NCCS discover and can be time consuming to obtain. For this purpose a set of scripts have been created to make the task easier. To use them, create a subdirectory and copy the contents of /discover/nobackup/aeichman/scm/util/get-merra to it. You should have the following: 

getter.j
MERRAobsys.rc
README
watcher.j


To use the scripts, modify the line in getter.j starting setenv PATH ${PATH}: ... to point to the directory src/GMAO_Shared/GMAO_etc/ in your local Fortuna 2.0 build, which contains the necessary utilities. These use perl libraries, which might require additions to your environment. (Assume at first that they don't.) To specify the range of MERRA data to obtain, modify the variables BEGIN_date and END_date (both in the format YYYYMMDD). You may need to modify your group name in the PBS environment variables as well.

Then qsub watcher.j (not getter.j). It will submit the getter.j script while submitting a version of itself to monitor the "getter" job. getter.j uses the acquire utility to smoothly transfer files from /archive to the current directory. If the getter job ends without finishing -- most likely because the allotted walltime ran out -- then the watcher job will repeat the process, until all the data in the specified range are copied to the current directory. For data sets of a month or so this may take a few hours, but the scripts should run without intervention. If something interrupts this process, the same scripts may be started again, and acquire will be intelligent enough figure out where it needs to pick up.

For more details, see README.

Generating the Driving Data

Now the ASCII .dat file used for the driving data can be created.

Check out the data file generator with the following command: 

cvs co -r Fortuna-merra2scm_v1 Fortuna

Then cd GEOSagcm/src/GMAO_Shared/GEOS_Util/post. The source file merra2scm.F is there; this must be modified to the time and location of the data set to be created. Change the parameters begdate and enddate to the dates you want to cover, but leave begtime and endtime alone. The parameters lonbegin, lonend, latbegin, and latend specify the location and appropriate values can be gleaned from the filenames in the appropriate experiment under /discover/nobackup/aeichman/scm/scminfiles/ -- for example, the filename tile.data_simple1_XY1x1-C_34N_100W_38N_95W. (Note that these file names are truncated when copied by the SCM setup script.) Finally, change the variable dirname to the directory where you copied the MERRA data.

Then cd up to the src directory, run make install, and run the executable merra2scm.x. It will generate the driving data file merra_scm.dat, which can be used to replace the one with the expriment data.

Required Modifications to the Model

At the time of this writing, modifications need to be compiled in to load new cases. We are planning to amend this inconvenience. The source files to modify are in src/GEOSgcs_GridComp/GEOSgcm_GridComp/GEOSagcm_GridComp/GEOSsuperdyn_GridComp/GEOSdatmodyn_GridComp.

First, in GEOS_DatmoDynGridComp.F90, a case must be added in the select statement at (or near) line 1039: 

     select CASE(trim(DATA$))

A sample case is shown below: 

   case("merra_arm97jul")
      NT = 240
      NLEVEL = 42
      DATA_DRIVER=.true.

For the case to be added, the case statement must have the name of the driver data file with the trailing .dat truncated (i.e. the file merra_scm.dat will require the case statement case("merra_scm") ). The variable NT must be assigned to the length of the time series of the driving data, and NLEVEL to the number of pressure levels. These values may be obtained from the header of the driver data file.

Similarly, any experiment using MERRA data requires a modification to reader.F90 at about line 211. The if then statement there: 

        if(filename.eq."arm_97jul.dat".or. &
           filename.eq."merra_arm97jul.dat".or. &
           filename.eq."merra_arm_scmx.dat")then

requires the addition of the full driver data file name.

With these modifications in place, the model may be recompiled.

Finally, the parameter DRIVER_DATA in AGCM.rc needs to be changed to the full filename of the driver data. Note that you will probably have to change the begin time in the cap_restart and the end time in CAP.rc to the appropriate times in begtime (probably 000000) and endtime.

Creating a New SCM Case

To create a new SCM case with a location and time span different from the ones already made, there are a set of IDL scripts in 

src/GEOSgcs_GridComp/GEOSgcm_GridComp/GEOSagcm_GridComp/GEOSsuperdyn_GridComp/GEOSdatmodyn_GridComp/idl

Make sure you've updated the contents of this directory to the proper branch: cvs upd -r b_Fortuna-2_0_SCM

IDL can be run from the dali machine, which you should be able to ssh to from discover. See the NCCS documentation for IDL for help: http://www.nccs.nasa.gov/dali_qna.html#step5. Follow the steps and start IDL (idl). To run the script make_bcs_ics.pro enter: 

IDL> .run make_bcs_ics

The procedure requires the restart files fvcore_internal_rst, moist_internal_rst and catch_internal_rst (with or without dates appended) seasonally appropriate for the experiment's start date, chosen in the priority month-day-year. Most restart files available have the time 2100z, the affects of which apparently diminish after a few days of spinup.

In the file make_bcs_ics.pro make the following changes:

  • odir to an appropriate directory in your area for input files
  • gdirbase to a directory in your area for output
  • cr to the coordinate range ([S W N E])
  • casename to a directory-appropriate name (this will be a subdirectory created for output in gdirbase)
  • sst_impose to the desired SST boundary condition (if neccessary, in K)
  • ntype (tile surface type) to 100 if over land, 0 if over sea
  • 'moist_internal_rst.b19830214_21z' to the name of your moist internal restart file
  • the intances of 'fvcore_internal_rst.b19830214_21z' to the name of your fvcore internal restart file

In odir, place the following files: 

catch_internal_rst*
FV_144x91_DC_360x180_DE.til
fvcore_internal_rst*
lai_green_clim_144x91_DC.data
moist_internal_rst*
nirdf_144x91_DC.dat
topo_DYN_ave_144x91_DC.data
topo_GWD_var_144x91_DC.data
topo_TRB_var_144x91_DC.data
vegdyn_144x91_DC.dat
visdf_144x91_DC.dat

The files other than the restarts can currently be obtained from /discover/nobackup/amolod/bcs/144x91/.

Then run make_bcs_ics.pro from the IDL command line. This will create a set of files in gdirbase/casename.

Now you have to select a tile from the file FV_144x91_DC_360x180_DE.til. After the header, each line contains the specifications for one tile. Find a tile close to the location of your experiment -- the third column is longitude, the fourth latitude. The first column should be the same as the ntype in make_bcs_ics.pro. The last column is the tile number, which you should record. Good luck.

Edit make_land_files.pro so that bcsodir, xdir and casename are the same as odir, gdirbase and casename, respectively, in make_bcs_ics.pro. Also change itile to the tile number you recorded from the tile file and catchname to the name of your catchment restart. The run the script. It will create a subdirectory Landfiles in the output directory and generate the land BC files there.

To make an appropriate AGCM.rc, copy one from an existing SCM case, and change the following:

  • AGCM_GRIDNAME and OGCM_GRIDNAME to reflect the coordinates in the filenames of the files that you just generated
  • DRIVER_DATA to the name of your driving data file name (for example, created from MERRA data in the section above)

Likewise, copy a CAP.rc and change the END_DATE as appropriate. Do the same for the start date in cap_restart. A HISTORY.rc can be copied without modification. Keep AGCM.rc, CAP.rc, cap_restart, and HISTORY.rc with the output from the IDL scripts. The latter will have to be either renamed or linked to names that the model will recognize -- see /discover/nobackup/aeichman/scm/scminfiles/arm_97jul for an example. You should have the following: 

AGCM.rc
CAP.rc
cap_restart
catch_internal_rst
datmodyn_internal_rst
fraci.data
fvcore_internal_rst
HISTORY.rc
laigrn.data
moist_internal_rst
nirdf.dat
SEAWIFS_KPAR_mon_clim.data
sst.data
sstsi.data
tile.data
topo_dynave.data
topo_gwdvar.data
topo_trbvar.data
vegdyn.data
visdf.dat

These files, plus a driving data file, comprise the case-specific files for an SCM case, similar to those cases in /discover/nobackup/aeichman/scm/scminfiles/, and can use getSCMdata.sh to set up the model environment to run.

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