Data analytics, processing and plotting for regional climate model REMO.
Project description
Python tools for the regional climate model REMO.
Features
Easy access to Remo meta information and data
API based on xarray data structures
Pressure interpolation
Pre and post processing
Includes basic physics package for REMO
Installation
We recommend installing pyremo with conda:
conda install -c conda-forge pyremo
Installation from source
We don’t recommend to pip install pyremo because some of the dependencies require pre-compiled packages that won’t work with pip. For instructions to install py-cordex from source, please have a look at the contributing guide. If you want to contribute, please get in contact as early as possible, e.g., using draft pull requests.
Fortran extensions
There are two sub-packages that are extra private dependencies and contain Fortran extensions. For example, the preprocessing module preproc
will require the installation
of the legacy source code for preprocessing which is packaged in
For the pressure interpolation prsint
, you will need to install the additional package:
Note, that you will have to install these packages from source which will require a fortran compiler (e.g. gfortran
).
If you require access to those packages, please request access to the REMO group in the DRKZ gitlab.
If you have access, you can install those extension directly from the gitlab, e.g.
pip install git+http://gitlab.dkrz.de/remo/pyintorg.git
pip install git+http://gitlab.dkrz.de/remo/pydruint.git
Credits
This package was created with Cookiecutter and the audreyr/cookiecutter-pypackage project template.
Project details
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