Interface to open NEMO global circulation model output dataset and create a xgcm grid.
Project description
xnemogcm
Interface to open NEMO global circulation model output dataset and create a xgcm grid.
One can be interested by the XORCA python package, that does a similar work for all NEMO output grid. xnemogcm is designed to be more simple and adapted to a simple idealized configuration.
Usage
from xnemogcm import open_nemo_and_domain_cfg
ds = open_nemo_and_domain_cfg(datadir='/path/to/data')
# Interface with xgcm
from xnemogcm import get_metrics
import xgcm
grid = xgcm.Grid(ds, metrics=get_metrics(ds), periodic=False)
Installation
Installation via pip:
pip3 install xnemogcm
Requirements for dev
We use pipenv to set up a virtual environment containing all
needed packages to run xnemogcm and the tests.
To install all the dependencies, type pipenv install
after cloning the directory. This will create a new virtual environment.
Typing pipenv shell
in the package directory will activate the virtual environment.
Project details
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