https://github.com/OceanParcels/parcels

Main code for Parcels (Probably A Really Computationally Efficient Lagrangian Simulator)
https://github.com/OceanParcels/parcels

lagrangian-ocean-modelling ocean-circulation-models particles

Last synced: about 2 months ago
JSON representation

Main code for Parcels (Probably A Really Computationally Efficient Lagrangian Simulator)

• Host: GitHub
• URL: https://github.com/OceanParcels/parcels
• Owner: OceanParcels
• License: mit
• Created: 2015-09-29T09:43:00.000Z (about 9 years ago)
• Default Branch: master
• Last Pushed: 2024-06-03T12:39:55.000Z (6 months ago)
• Last Synced: 2024-06-11T16:41:45.788Z (6 months ago)
• Topics: lagrangian-ocean-modelling, ocean-circulation-models, particles
• Language: Python
• Homepage: http://www.oceanparcels.org
• Size: 125 MB
• Stars: 281
• Watchers: 24
• Forks: 120
• Open Issues: 22
• Metadata Files:
  • Readme: README.md
  • Contributing: docs/contributing.md
  • License: LICENSE.md
  • Code of conduct: CODE_OF_CONDUCT.md
  • Citation: CITATION.cff

Awesome Lists containing this project

• awesome-fluid-dynamics - OceanParcels/parcels - Parcels (Probably A Really Computationally Efficient Lagrangian Simulator) is a set of Python classes and methods to create customisable particle tracking simulations using output from Ocean Circulation models.  [](https://github.com/OceanParcels/parcels/search?l=jupyter-notebook) (Computational Fluid Dynamics / Shallow Water / Ocean Dynamics)
• open-sustainable-technology - parcels - Can be used to track passive and active particulates such as water, plankton, plastic and fish. (Hydrosphere / Waves and Currents)
• awesome-utrecht-university - parcels - Main code for Parcels (Probably A Really Computationally Efficient Lagrangian Simulator) (Projects / Research software)
• awesome-utrecht-university - parcels - Main code for Parcels (Probably A Really Computationally Efficient Lagrangian Simulator) (Projects / Research software)

README

        
## Parcels

[![Anaconda-release](https://anaconda.org/conda-forge/parcels/badges/version.svg)](https://anaconda.org/conda-forge/parcels/)

[![Anaconda-date](https://anaconda.org/conda-forge/parcels/badges/latest_release_date.svg)](https://anaconda.org/conda-forge/parcels/)

[![Zenodo](https://zenodo.org/badge/DOI/10.5281/zenodo.823561.svg)](https://doi.org/10.5281/zenodo.823561)

[![Code style: Ruff](https://img.shields.io/endpoint?url=https://raw.githubusercontent.com/astral-sh/ruff/main/assets/badge/format.json)](https://github.com/astral-sh/ruff)

[![unit-tests](https://github.com/OceanParcels/parcels/actions/workflows/ci.yml/badge.svg)](https://github.com/OceanParcels/parcels/actions/workflows/ci.yml)

[![codecov](https://codecov.io/gh/OceanParcels/parcels/branch/master/graph/badge.svg)](https://codecov.io/gh/OceanParcels/parcels)

[![CII Best Practices](https://bestpractices.coreinfrastructure.org/projects/5353/badge)](https://bestpractices.coreinfrastructure.org/projects/5353)

[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/OceanParcels/parcels/master?labpath=docs%2Fexamples%2Fparcels_tutorial.ipynb)

**Parcels** (**P**robably **A** **R**eally **C**omputationally **E**fficient **L**agrangian **S**imulator) is a set of Python classes and methods to create customisable particle tracking simulations using output from Ocean Circulation models. Parcels can be used to track passive and active particulates such as water, plankton, [plastic](http://www.topios.org/) and [fish](https://github.com/Jacketless/IKAMOANA).

![Arctic-SO-medusaParticles](https://github.com/OceanParcels/oceanparcels_website/blob/master/images/homepage.gif)

_Animation of virtual particles carried by ocean surface flow in the global oceans. The particles are advected with [Parcels](http://oceanparcels.org/) in data from the [NEMO Ocean Model](https://www.nemo-ocean.eu/)._

### Parcels manuscript and code

The manuscript detailing the first release of Parcels, version 0.9, has been published in [Geoscientific Model Development](https://www.geosci-model-dev.net/10/4175/2017/gmd-10-4175-2017.html) and can be cited as

_Lange, M and E van Sebille (2017) Parcels v0.9: prototyping a Lagrangian Ocean Analysis framework for the petascale age. Geoscientific Model Development, 10, 4175-4186. https://doi.org/10.5194/gmd-2017-167_

The manuscript detailing version 2.0 of Parcels is available at [Geoscientific Model Development](https://www.geosci-model-dev.net/12/3571/2019/gmd-12-3571-2019-discussion.html) and can be cited as:

_Delandmeter, P and E van Sebille (2019) The Parcels v2.0 Lagrangian framework: new field interpolation schemes. Geoscientific Model Development, 12, 3571-3584. https://doi.org/10.5194/gmd-12-3571-2019_

The manuscript detailing the performance of Parcels v2.4 is available at [Computers & Geosciences](https://doi.org/10.1016/j.cageo.2023.105322) and can be cited as:

_Kehl, C, PD Nooteboom, MLA Kaandorp and E van Sebille (2023) Efficiently simulating Lagrangian particles in large-scale ocean flows — Data structures and their impact on geophysical applications, Computers and Geosciences, 175, 105322. https://doi.org/10.1016/j.cageo.2023.105322_

### Further information

See [oceanparcels.org](http://oceanparcels.org/) for further information about [installing](https://docs.oceanparcels.org/en/latest/installation.html) and [running](https://docs.oceanparcels.org/en/latest/documentation.html) the Parcels code, as well as extended [documentation](https://docs.oceanparcels.org/en/latest/reference.html) of the methods and classes.

### Contributors



  



**All contributions are welcome! See the [contributing page](https://docs.oceanparcels.org/en/latest/contributing.html) in our documentation to see how to get involved.**

Image made with [contrib.rocks](https://contrib.rocks).