Skip to main content

Framework for Lagrangian tracking of virtual ocean particles in the petascale age.

Project description

Parcels

Anaconda-release Anaconda-date Zenodo Code style: Ruff unit-tests codecov CII Best Practices Binder

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. Parcels can be used to track passive and active particulates such as water, plankton, plastic and fish.

Arctic-SO-medusaParticles

Animation of virtual particles carried by ocean surface flow in the global oceans. The particles are advected with Parcels in data from the NEMO Ocean Model.

Parcels manuscript and code

The manuscript detailing the first release of Parcels, version 0.9, has been published in Geoscientific Model Development 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 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 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 for further information about installing and running the Parcels code, as well as extended documentation of the methods and classes.

Contributors

All contributions are welcome! See the contributing page in our documentation to see how to get involved. Image made with contrib.rocks.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

parcels-3.1.0.tar.gz (23.5 MB view hashes)

Uploaded Source

Built Distribution

parcels-3.1.0-py3-none-any.whl (155.8 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page