MPAS - Revision history

S.wales: /* Running */

2020-11-19T04:52:37Z

‎Running

2020-11-19T04:44:22Z

2020-11-19T04:28:45Z

‎Running

2020-11-19T04:27:03Z

‎Running

2020-11-19T04:26:32Z

‎Running

2020-11-19T04:25:52Z

‎Running

2020-11-19T04:04:30Z

‎Running

2020-11-19T04:04:15Z

‎Running

2020-11-19T03:54:40Z

‎Running

2020-11-19T03:47:12Z

‎Running

@@ Line 56: / Line 56: @@
 You will need to download or generate a [https://mpas-dev.github.io/ 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 [https://my.nci.org.au/mancini/project/sx70/join join the sx70 group])
+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 [https://my.nci.org.au/mancini/project/sx70/join join the sx70 group])
 The executable 'init_atmosphere_model' must be run first, before 'atmosphere_model' is run.

@@ Line 1: / Line 1: @@
 {{template:Unsupported}}
 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. [http://mpas-dev.github.io/].
 =MPAS-Atmosphere=

@@ Line 58: / Line 58: @@
 You will need to download or generate a [https://mpas-dev.github.io/ 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_v3' (you will need to [https://my.nci.org.au/mancini/project/sx70/join join the sx70 group])
+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 [https://my.nci.org.au/mancini/project/sx70/join join the sx70 group])
 The executable 'init_atmosphere_model' must be run first, before 'atmosphere_model' is run.

@@ Line 62: / Line 62: @@
 The executable 'init_atmosphere_model' must be run first, before 'atmosphere_model' is run.
-Sample PBS scripts to run the model:
+Sample PBS scripts to run the model (adjust the number of CPUs to be appropriate for your configuration):
 === run_init_atmos.pbs ===
 <syntaxhighlight lang=bash>

@@ Line 63: / Line 63: @@
 Sample PBS scripts to run the model:
 <syntaxhighlight lang=bash>
 #!/bin/bash
@@ Line 84: / Line 85: @@
 </syntaxhighlight>
 <syntaxhighlight lang=bash>
 #!/bin/bash

@@ Line 80: / Line 80: @@
 # Create initial conditions
 ./init_atmosphere_model
 </syntaxhighlight>

@@ Line 74: / Line 74: @@
 set -e
 ulimit -s unlimited
@@ Line 95: / Line 94: @@
 set -e
 ulimit -s unlimited
 module load openmpi

@@ Line 60: / Line 60: @@
 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_v3' (you will need to [https://my.nci.org.au/mancini/project/sx70/join join the sx70 group])
-A sample PBS script to run the model:
+The executable 'init_atmosphere_model' must be run first, before 'atmosphere_model' is run.
 <syntaxhighlight lang=bash>
 #!/bin/bash
@@ Line 79: / Line 102: @@
 # Add your PIO library's 'lib' directory here
 export LD_LIBRARY_PATH=/scratch/$PROJECT/$USER/pio/lib:$LD_LIBRARY_PATH
 # Run the model

@@ Line 55: / Line 55: @@
 See the [https://www2.mmm.ucar.edu/projects/mpas/mpas_atmosphere_users_guide_7.0.pdf 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 [http://mpas-dev.github.io/atmosphere/atmosphere_download.html MPAS download site]. The top-level directory has all of the TBL, DBL and namelist files required to run MPAS
 A sample PBS script to run the model:
@@ Line 64: / Line 68: @@
 #PBS -l jobfs=50gb
 #PBS -l wd
 #PBS -W umask=0022
 module load openmpi
@@ Line 72: / Line 81: @@
 # Create initial conditions
-mpirun ./init_atmosphere_model
+./init_atmosphere_model
 # Run the model