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Quick start
Follow the steps in the README.
See here if you want to build access-om3 yourself.
Otherwise you can use a precompiled executable from
/g/data/ik11/inputs/access-om3/bin/
which requires membership of the ik11
project - apply at https://my.nci.org.au/mancini/project/ik11 if needed.
There are several configurations available, listed here. You should use the accessom3_exe
branch of these.
For example, to run the MOM6-CICE6
configuration, clone and switch to the accessom3_exe
branch:
git clone https://github.com/COSIMA/MOM6-CICE6.git
cd COSIMA/MOM6-CICE6
git checkout accessom3_exe
If you've compiled your own executable you'll need to edit the exe
entry in config.yaml
to point to it.
Running ACCESS-OM3 requires the latest payu
. Until this is put into the standard conda environment you'll need to create a custom conda environment with the latest payu
:
create a ~/.condarc
file as described here, then do this:
conda create -n my_payu python
conda activate my_payu
pip install git+https://github.com/payu-org/payu.git
This only needs to be done once.
The executable requires some custom modules, so you need to do this before you can run (only needs to be done once per log in):
conda activate my_payu
module use /g/data/ik11/spack/modules
Now you're ready to run:
payu run
This uses the payu workflow management tool to prepare the run and submit it as a job to the PBS job queue. See the Gadi User Guide to learn more about PBS job management.
Check the status of the job (state 'Q'=waiting in queue, 'R'=running, 'E'=exiting, 'H'=held) with
uqstat -c
To kill the run early, do qdel N
, where N is the job number (first column given by uqstat
). If you kill the job (or it crashes), a work
directory will be left behind after the job has disappeared from uqstat
and you'll need to do payu sweep
before you can run again.
When your run has finished successfully, payu puts its output in archive/output000
. payu also records a log of your experiment in the git history, including the identity of the inputs and executables used (see the files in manifests
).
To do another run, just type payu run
again. Or to do (say) 10 runs, type payu run -n 10
and they'll automatically be submitted one after the other.
The outputs from each run will be in numbered subdirectories in archive
.
Each run creates a restart
directory in archive
which is used as the initial condition for the next run. These restarts can accumulate and consume disk space, but only the most recent one is needed (unless you plan to restart a new experiment from an intermediate state).
See the payu documentation for more explanation of where run output is stored.
If the run is unsuccessful you can find output in access-om3.err
and any output from the run will be in work
. You will need to do payu sweep
before you will be able to do another payu run
.
WARNING restarts are stored on /scratch
(so will be deleted after 100 days). If you plan to continue your run in the future you'll need to store the necessary restarts somewhere safe.
See the Configurations section.
Before running, commit your changes with an informative message, e.g. git commit -am "initial setup for experiment to test... bla bla"