The C ESM EP in a nutshell

On this page you will find the basic steps to run the C-ESM-EP on Ciclad or Curie for the first time.

Get the C-ESM-EP

Start by cloning the sources on your /home: On Ciclad:

git clone https://github.com/jservonnat/C-ESM-EP.git

On Curie:

git clone [email protected]:~/C-ESM-EP/git C-ESM-EP

Run the standard_comparison

Then run the standard_comparison comparison (provided as an example):

python run_C-ESM-EP.py standard_comparison

This will submit one job per available component/atlas in the standard_comparison directory. Note: standard_comparison contains a subset of the available atlases that is suitable for a coupled model. There are more atlases available in share/optional_atlas

The script will return the url of the C-ESM-EP html frontpage:

[...]
component =  Monsoons
2246587
/home/fabric/users/jservon/C-ESM-EP

-- The CliMAF ESM Evaluation Platform will be available here:
--
--   https://vesg.ipsl.upmc.fr/thredds/fileServer/IPSLFS/fabric/C-ESM-EP/standard_comparison_jservon/C-ESM-EP_standard_comparison.html
--
--
-- html file can be seen here:
-- /prodigfs/ipslfs/dods/fabric/C-ESM-EP/standard_comparison_jservon/C-ESM-EP_standard_comparison.html
fabric@ciclad-ng:~/users/jservon/C-ESM-EP>

Just get the url

Note: if you just want to get the url of a comparison without running the atlases, add url at the end of the command line and the script will simply return the url of the frontpage:

python run_C-ESM-EP.py standard_comparison url

Update your C-ESM-EP

To get the last version of the C-ESM-EP, simply

Run sets of atlases: LMDZ, NEMO, ORCHIDEE...

But there are also some pre-defined sets of atlases that you can run with the following arguments:

python run_C-ESM-EP.py my_comparison OA

=> 'Atmosphere_Surface', 'Atmosphere_zonmean', 'NEMO_main', 'NEMO_zonmean', 'NEMO_depthlevels', 'Atlantic_Atmosphere_Surface', 'ENSO', 'PISCES’

python run_C-ESM-EP.py my_comparison LMDZ

=> 'Atmosphere_Surface', 'Atmosphere_zonmean', 'Atmosphere_StdPressLevs’

python run_C-ESM-EP.py my_comparison LMDZOR

=> 'Atmosphere_Surface', 'Atmosphere_zonmean', 'Atmosphere_StdPressLevs', 'ORCHIDEE’

python run_C-ESM-EP.py my_comparison NEMO

=> 'NEMO_main', 'NEMO_zonmean', 'NEMO_depthlevels’, ‘PISCES’

Feel free to specify yours in run_C-ESM-EP.py (follow the examples in run_C-ESM-EP.py)