The Model for Prediction Across Scales (MPAS) is a collaborative project for developing atmosphere, ocean and other earth-system simulation components for use in climate, regional climate and weather studies. .
Building on Gadi
MPAS7 on Gadi requires no code modifications, although you will need to install its dependency PIO
module load intel-compiler openmpi module load netcdf/4.7.3p pnetcdf # Installation directory, set as desired export PIO_DIR=/scratch/$PROJECT/$USER/pio wget https://github.com/NCAR/ParallelIO/releases/download/pio2_5_2/pio-2.5.2.tar.gz tar xvf pio-2.5.2.tar.gz cd pio-2.5.2 CC=mpicc FC=mpif90 ./configure --enable-fortran --prefix $PIO_DIR && make check # I see an error in 'test_pioc' make install cd ..
module load intel-compiler openmpi module load netcdf/4.7.3p pnetcdf git clone https://github.com/MPAS-Dev/MPAS-Model cd MPAS-Model # Set to wherever you installed PIO export PIO=$PIO_DIR make ifort CORE=atmosphere USE_PIO2=true make clean CORE=init_atmosphere make ifort CORE=init_atmosphere USE_PIO2=true
See the User's Guide for details on how to run the model. A number of idealised test cases as well as meshes for different resolutions are available from the MPAS download site. The top-level directory has all of the TBL, DBL and namelist files required to run MPAS
You will need to download or generate a mesh file, the default example uses the 120km mesh.
The central WPS_GEOG data files may be used, set 'config_geog_data_path' in namelist.init_atmosphere to '/g/data/sx70/data/WPS_GEOG_20190418/' (you will need to join the sx70 group)
The executable 'init_atmosphere_model' must be run first, before 'atmosphere_model' is run.
Sample PBS scripts to run the model (adjust the number of CPUs to be appropriate for your configuration):
#!/bin/bash #PBS -l ncpus=1 #PBS -l mem=4gb #PBS -l walltime=1:00:00 #PBS -l jobfs=50gb #PBS -l wd #PBS -l storage=gdata/sx70 #PBS -W umask=0022 set -e ulimit -s unlimited # Add your PIO library's 'lib' directory here export LD_LIBRARY_PATH=/scratch/$PROJECT/$USER/pio/lib:$LD_LIBRARY_PATH # Create initial conditions # Note if data is being interpolated this can't be run using MPI ./init_atmosphere_model
#!/bin/bash #PBS -l ncpus=4 #PBS -l mem=16gb #PBS -l walltime=1:00:00 #PBS -l jobfs=50gb #PBS -l wd #PBS -l storage=gdata/sx70 #PBS -W umask=0022 set -e ulimit -s unlimited module load openmpi # Add your PIO library's 'lib' directory here export LD_LIBRARY_PATH=/scratch/$PROJECT/$USER/pio/lib:$LD_LIBRARY_PATH # Run the model mpirun ./atmosphere_model