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ARCCSS Data Archive Tools

Project description

ARCCSS Data Access Tools

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For full documentation please see


### Raijin

The stable version of ARCCSSive is available as a module on NCI's Raijin supercomputer:

raijin $ module use ~access/modules
raijin $ module load pythonlib/ARCCSSive

### NCI Virtual Desktops

NCI's virtual desktops allow you to use ARCCSSive from a Jupyter notebook. For
details on how to use virtual desktops see

To install the stable version of ARCCSSive:

vdi $ pip install --user ARCCSSive
vdi $ export CMIP5_DB=sqlite:////g/data1/ua6/unofficial-ESG-replica/tmp/tree/cmip5_raijin_latest.db

or to install the current development version:

vdi $ pip install --user git+
vdi $ export CMIP5_DB=sqlite:////g/data1/ua6/unofficial-ESG-replica/tmp/tree/cmip5_raijin_latest.db

Once the library is installed run `ipython notebook` to start a new notebook


Query and access the CMIP5 data from Raijin

from ARCCSSive import CMIP5

cmip = CMIP5.DB.connect()
for output in cmip.outputs(model='ACCESS1-0'):
variable = output.variable
files = output.filenames()

to filter and sort the data files.

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