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Models","monthly_downloads":156,"total_dependent_repos":4,"total_dependent_packages":0,"readme":"\u003cp align=\"center\"\u003e\n\u003cimg src=\"doc/_images/veros-logo-400px.png?raw=true\"\u003e\n\u003c/p\u003e\n\n\u003cp align=\"center\"\u003e\n\u003ci\u003eVersatile Ocean Simulation in Pure Python\u003c/i\u003e\n\u003c/p\u003e\n\n\u003cp align=\"center\"\u003e\n  \u003ca href=\"http://veros.readthedocs.io/?badge=latest\"\u003e\n    \u003cimg src=\"https://readthedocs.org/projects/veros/badge/?version=latest\" alt=\"Documentation status\"\u003e\n  \u003c/a\u003e\n  \u003ca href=\"https://github.com/team-ocean/veros/actions/workflows/test-all.yml\"\u003e\n    \u003cimg src=\"https://github.com/team-ocean/veros/actions/workflows/test-all.yml/badge.svg\" alt=\"Test status\"\u003e\n  \u003c/a\u003e\n  \u003ca href=\"https://codecov.io/gh/team-ocean/veros\"\u003e\n    \u003cimg src=\"https://codecov.io/gh/team-ocean/veros/branch/main/graph/badge.svg\" alt=\"Code Coverage\"\u003e\n  \u003c/a\u003e\n  \u003ca href=\"https://zenodo.org/badge/latestdoi/87419383\"\u003e\n    \u003cimg src=\"https://zenodo.org/badge/87419383.svg\" alt=\"DOI\"\u003e\n  \u003c/a\u003e\n\u003c/p\u003e\n\nVeros, *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](https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2021MS002717). 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.\n\n*In a nutshell, we want to enable high-performance ocean modelling with a clear focus on flexibility and usability.*\n\nVeros supports a NumPy backend for small-scale problems, and a\nhigh-performance [JAX](https://github.com/google/jax) backend\nwith CPU and GPU support. It is fully parallelized via MPI and supports\ndistributed execution on any number of nodes, including multi-GPU architectures (see also [our benchmarks](https://veros.readthedocs.io/en/latest/more/benchmarks.html)).\n\nThe dynamical core of Veros is based on [pyOM2](https://wiki.cen.uni-hamburg.de/ifm/TO/pyOM2), an ocean model with a Fortran backend and Fortran and Python frontends.\n\nTo learn more about Veros, make sure to [visit our documentation](https://veros.readthedocs.io/en/latest/).\n\n#### How about a demonstration?\n\n\u003cp align=\"center\"\u003e\n  \u003ca href=\"https://vimeo.com/391237951\"\u003e\n      \u003cimg src=\"doc/_images/veros-preview.gif?raw=true\" alt=\"0.25×0.25° high-resolution model spin-up\"\u003e\n  \u003c/a\u003e\n\u003c/p\u003e\n\n\u003cp align=\"center\"\u003e\n(0.25×0.25° high-resolution model spin-up, click for better\nquality)\n\u003c/p\u003e\n\n## Features\n\nVeros provides\n\n-   a fully staggered **3-D grid geometry** (*C-grid*)\n-   support for both **idealized and realistic configurations** in\n    Cartesian or pseudo-spherical coordinates\n-   several **friction and advection schemes**\n-   isoneutral mixing, eddy-kinetic energy, turbulent kinetic energy,\n    and internal wave energy **parameterizations**\n-   several **pre-implemented diagnostics** such as energy fluxes,\n    variable time averages, and a vertical overturning stream function\n    (written to netCDF4 output)\n-   **pre-configured idealized and realistic set-ups** that are ready to\n    run and easy to adapt\n-   **accessibility and extensibility** - thanks to the\n    power of Python!\n\n## Veros for the impatient\n\nA minimal example to install and run Veros:\n\n```bash\n$ pip install veros\n$ veros copy-setup acc --to /tmp/acc\n$ veros run /tmp/acc/acc.py\n```\n\nFor more detailed installation instructions, have a look at [our\ndocumentation](https://veros.readthedocs.io).\n\n## Basic usage\n\nTo run Veros, you need to set up a model --- i.e., specify which settings\nand model domain you want to use. This is done by subclassing the\n`VerosSetup` base class in a *setup script* that is written in Python. You\nshould use the `veros copy-setup` command to copy one into your current\nfolder. A good place to start is the\n[ACC model](https://github.com/team-ocean/veros/blob/main/veros/setups/acc/acc.py):\n\n```bash\n$ veros copy-setup acc\n```\n\nAfter setting up your model, all you need to do is call the `setup` and\n`run` methods on your setup class. The pre-implemented setups can all be\nexecuted via `veros run`:\n\n```bash\n$ veros run acc.py\n```\n\nFor more information on using Veros, have a look at [our\ndocumentation](http://veros.readthedocs.io).\n\n## Contributing\n\nContributions to Veros are always welcome, no matter if you spotted an\ninaccuracy in [the documentation](https://veros.readthedocs.io), wrote a\nnew setup, fixed a bug, or even extended Veros\\' core mechanics. There\nare 2 ways to contribute:\n\n1.  If you want to report a bug or request a missing feature, please\n    [open an issue](https://github.com/team-ocean/veros/issues). If you\n    are reporting a bug, make sure to include all relevant information\n    for reproducing it (ideally through a *minimal* code sample).\n2.  If you want to fix the issue yourself, or wrote an extension for\n    Veros - great! You are welcome to submit your code for review by\n    committing it to a repository and opening a [pull\n    request](https://github.com/team-ocean/veros/pulls). However,\n    before you do so, please check [the contribution\n    guide](http://veros.readthedocs.io/quickstart/get-started.html#enhancing-veros)\n    for some tips on testing and benchmarking, and to make sure that\n    your modifications adhere with our style policies. Most importantly,\n    please ensure that you follow the [PEP8\n    guidelines](https://www.python.org/dev/peps/pep-0008/), use\n    *meaningful* variable names, and document your code using\n    [Google-style\n    docstrings](http://sphinxcontrib-napoleon.readthedocs.io/en/latest/example_google.html).\n\n## How to cite\n\nIf you use Veros in scientific work, please consider citing [the following publication](https://gmd.copernicus.org/articles/11/3299/2018/):\n\n```bibtex\n@article{hafner_veros_2018,\n\ttitle = {Veros v0.1 – a fast and versatile ocean simulator in pure {Python}},\n\tvolume = {11},\n\tissn = {1991-959X},\n\turl = {https://gmd.copernicus.org/articles/11/3299/2018/},\n\tdoi = {10.5194/gmd-11-3299-2018},\n\tnumber = {8},\n\tjournal = {Geoscientific Model Development},\n\tauthor = {Häfner, Dion and Jacobsen, René Løwe and Eden, Carsten and Kristensen, Mads R. B. and Jochum, Markus and Nuterman, Roman and Vinter, Brian},\n\tmonth = aug,\n\tyear = {2018},\n\tpages = {3299--3312},\n}\n```\n\nOr have a look at [our documentation](https://veros.readthedocs.io/en/latest/more/publications.html)\nfor more publications involving Veros.\n","funding_links":[],"readme_doi_urls":[],"works":{},"citation_counts":{},"total_citations":0,"keywords_from_contributors":["opencl","parallel-computing"],"project_url":"https://ost.ecosyste.ms/api/v1/projects/694","html_url":"https://ost.ecosyste.ms/projects/694"}