pyremo 0.7.1

Data analytics, processing and plotting for regional climate model REMO.

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

• https://gitlab.dkrz.de/remo/pyintorg

For the pressure interpolation prsint, you will need to install the additional package:

• https://gitlab.dkrz.de/remo/pydruint

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.