Framework for Lagrangian tracking of virtual ocean particles in the petascale age.
Project description
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. Parcels can be used to track passive and active particulates such as water, plankton, plastic and fish.
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
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
File details
Details for the file parcels-3.1.0.tar.gz
.
File metadata
- Download URL: parcels-3.1.0.tar.gz
- Upload date:
- Size: 23.5 MB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.12.7
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 2180bed92a3c26c00968a98d1407466445e848cbb68d8a3b94138660b35aa70d |
|
MD5 | bc3ee6d2800cb139c5d2c380a31be1c4 |
|
BLAKE2b-256 | 67efcd12fbbcac3db5431e600ea584a13a4a0243b747c7da467c420a538a8ae4 |
File details
Details for the file parcels-3.1.0-py3-none-any.whl
.
File metadata
- Download URL: parcels-3.1.0-py3-none-any.whl
- Upload date:
- Size: 155.8 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.12.7
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 8ebd461a5bc4e32052dc2396c442fdb54f90ccbacd09a6237f7832f6f2204583 |
|
MD5 | f2173af04709c5cf37e1f38e49bc9d2b |
|
BLAKE2b-256 | 70ac7b6d62a09e90fc597ed931cb177269a65d1ae0f5393913f149ba38c1f2f6 |