veros: A Python repository from MaxMSun

Versatile Ocean Simulation in Pure Python

Veros, the versatile ocean simulator, aims to be the swiss army knife of ocean modeling. It is a full-fledged primitive equation ocean model that supports anything between idealized toy models and realistic, high-resolution, global ocean simulations. And because Veros is written in pure Python, the days of struggling with complicated model setup workflows, ancient programming environments, and obscure legacy code are finally over.

In a nutshell, we want to enable high-performance ocean modelling with a clear focus on flexibility and usability.

Veros supports a NumPy backend for small-scale problems, and a high-performance JAX backend with CPU and GPU support. It is fully parallelized via MPI and supports distributed execution on any number of nodes, including multi-GPU architectures (see also our benchmarks).

The dynamical core of Veros is based on pyOM2, an ocean model with a Fortran backend and Fortran and Python frontends.

To learn more about Veros, make sure to visit our documentation.

How about a demonstration?

(0.25×0.25° high-resolution model spin-up, click for better quality)

Features

Veros provides

a fully staggered 3-D grid geometry (C-grid)
support for both idealized and realistic configurations in Cartesian or pseudo-spherical coordinates
several friction and advection schemes
isoneutral mixing, eddy-kinetic energy, turbulent kinetic energy, and internal wave energy parameterizations
several pre-implemented diagnostics such as energy fluxes, variable time averages, and a vertical overturning stream function (written to netCDF4 output)
pre-configured idealized and realistic set-ups that are ready to run and easy to adapt
accessibility and extensibility - thanks to the power of Python!

Veros for the impatient

A minimal example to install and run Veros:

$ pip install veros
$ veros copy-setup acc --to /tmp/acc
$ veros run /tmp/acc/acc.py

For more detailed installation instructions, have a look at our documentation.

Basic usage

To run Veros, you need to set up a model --- i.e., specify which settings and model domain you want to use. This is done by subclassing the VerosSetup base class in a setup script that is written in Python. You should use the veros copy-setup command to copy one into your current folder. A good place to start is the ACC model:

$ veros copy-setup acc

After setting up your model, all you need to do is call the setup and run methods on your setup class. The pre-implemented setups can all be executed via veros run:

$ veros run acc.py

For more information on using Veros, have a look at our documentation.

Contributing

Contributions to Veros are always welcome, no matter if you spotted an inaccuracy in the documentation, wrote a new setup, fixed a bug, or even extended Veros' core mechanics. There are 2 ways to contribute:

If you want to report a bug or request a missing feature, please open an issue. If you are reporting a bug, make sure to include all relevant information for reproducing it (ideally through a minimal code sample).
If you want to fix the issue yourself, or wrote an extension for Veros - great! You are welcome to submit your code for review by committing it to a repository and opening a pull request. However, before you do so, please check the contribution guide for some tips on testing and benchmarking, and to make sure that your modifications adhere with our style policies. Most importantly, please ensure that you follow the PEP8 guidelines, use meaningful variable names, and document your code using Google-style docstrings.

How to cite

If you use Veros in scientific work, please consider citing the following publication:

@article{hafner_veros_2018,
	title = {Veros v0.1 – a fast and versatile ocean simulator in pure {Python}},
	volume = {11},
	issn = {1991-959X},
	url = {https://gmd.copernicus.org/articles/11/3299/2018/},
	doi = {10.5194/gmd-11-3299-2018},
	number = {8},
	journal = {Geoscientific Model Development},
	author = {Häfner, Dion and Jacobsen, René Løwe and Eden, Carsten and Kristensen, Mads R. B. and Jochum, Markus and Nuterman, Roman and Vinter, Brian},
	month = aug,
	year = {2018},
	pages = {3299--3312},
}