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Warning

This branch contains version 4 of Parcels which is in active development. See v3-support to see v3 or the tags to browse stable versions of Parcels.

Parcels provides a set of Python classes and methods to create customisable particle tracking simulations using gridded 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 parcels-code.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.

About

Main code for Parcels - a highly customisable Lagrangian simulation framework

parcels-code.org

Topics

lagrangian-ocean-modellingocean-circulation-modelsparticles

Resources

Readme
MIT license

Code of conduct

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Contributing

Contributing
Activity
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360 stars

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188 forks
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Parcels
Pixi BadgeAnaconda-releaseAnaconda-dateZenodoEffVer VersioningXarrayRuffunit-testsasvcodecovCII Best PracticesBinderLinkedIn
Warning
This branch contains version 4 of Parcels which is in active development. See v3-support to see v3 or the tags to browse stable versions of Parcels.
Parcels provides a set of Python classes and methods to create customisable particle tracking simulations using gridded 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 parcels-code.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.
About
Main code for Parcels - a highly customisable Lagrangian simulation framework
parcels-code.org
Topics
lagrangian-ocean-modellingocean-circulation-modelsparticles
Resources
Readme
MIT license
Code of conduct
Code of conduct
Contributing
Contributing
Activity
Custom properties
Stars
360 stars
Watchers
22 watching
Forks
188 forks
Report repository
Releases
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Used by
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, 'i');
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Parcels
Pixi BadgeAnaconda-releaseAnaconda-dateZenodoEffVer VersioningXarrayRuffunit-testsasvcodecovCII Best PracticesBinderLinkedIn
Warning
This branch contains version 4 of Parcels which is in active development. See v3-support to see v3 or the tags to browse stable versions of Parcels.
Parcels provides a set of Python classes and methods to create customisable particle tracking simulations using gridded 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 parcels-code.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.
About
Main code for Parcels - a highly customisable Lagrangian simulation framework
parcels-code.org
Topics
lagrangian-ocean-modellingocean-circulation-modelsparticles
Resources
Readme
MIT license
Code of conduct
Code of conduct
Contributing
Contributing
Activity
Custom properties
Stars
360 stars
Watchers
22 watching
Forks
188 forks
Report repository
Releases
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Used by
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, 'i');
if (__m === '*' || __re.test(location.href)) {
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})();
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try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

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Parcels
Pixi BadgeAnaconda-releaseAnaconda-dateZenodoEffVer VersioningXarrayRuffunit-testsasvcodecovCII Best PracticesBinderLinkedIn
Warning
This branch contains version 4 of Parcels which is in active development. See v3-support to see v3 or the tags to browse stable versions of Parcels.
Parcels provides a set of Python classes and methods to create customisable particle tracking simulations using gridded 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 parcels-code.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.
About
Main code for Parcels - a highly customisable Lagrangian simulation framework
parcels-code.org
Topics
lagrangian-ocean-modellingocean-circulation-modelsparticles
Resources
Readme
MIT license
Code of conduct
Code of conduct
Contributing
Contributing
Activity
Custom properties
Stars
360 stars
Watchers
22 watching
Forks
188 forks
Report repository
Releases
Packages
Used by
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Strip utm_, fbclid, gclid, etc. from all links on page\n(function() {\n var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',\n 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',\n 'ref', 'ref_src', 'source', 'medium', 'campaign'];\n \n function cleanUrl(url) {\n try {\n var u = new URL(url, window.location.origin);\n var changed = false;\n trackingParams.forEach(function(p) {\n if (u.searchParams.has(p)) {\n u.searchParams.delete(p);\n changed = true;\n }\n });\n return changed ? u.toString() : url;\n } catch (e) {\n return url;\n }\n }\n \n function cleanLinks() {\n document.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n \n cleanLinks();\n \n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1) {\n if (node.tagName === 'A') cleanLinks();\n node.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Remove Tracking Parameters from Links");
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})();
(function(){
try {
var __m = "youtube.com";
var __re = new RegExp('^' + "youtube\\.com" + '

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Parcels
Pixi BadgeAnaconda-releaseAnaconda-dateZenodoEffVer VersioningXarrayRuffunit-testsasvcodecovCII Best PracticesBinderLinkedIn
Warning
This branch contains version 4 of Parcels which is in active development. See v3-support to see v3 or the tags to browse stable versions of Parcels.
Parcels provides a set of Python classes and methods to create customisable particle tracking simulations using gridded 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 parcels-code.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.
About
Main code for Parcels - a highly customisable Lagrangian simulation framework
parcels-code.org
Topics
lagrangian-ocean-modellingocean-circulation-modelsparticles
Resources
Readme
MIT license
Code of conduct
Code of conduct
Contributing
Contributing
Activity
Custom properties
Stars
360 stars
Watchers
22 watching
Forks
188 forks
Report repository
Releases
Packages
Used by
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Auto-enable theater mode on YouTube\n(function() {\n function tryTheater() {\n var btn = document.querySelector('button[aria-label=\"Theater mode\"], ytd-player #player button[title=\"Theater mode\"]');\n if (btn && !btn.classList.contains('activated')) {\n btn.click();\n }\n }\n \n // Try immediately\n tryTheater();\n \n // Try after navigation (SPA)\n var lastUrl = location.href;\n setInterval(function() {\n if (location.href !== lastUrl) {\n lastUrl = location.href;\n setTimeout(tryTheater, 500);\n }\n }, 1000);\n \n // Also try on player load\n var observer = new MutationObserver(tryTheater);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "YouTube Theater Mode Default");
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})();
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try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

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Parcels
Pixi BadgeAnaconda-releaseAnaconda-dateZenodoEffVer VersioningXarrayRuffunit-testsasvcodecovCII Best PracticesBinderLinkedIn
Warning
This branch contains version 4 of Parcels which is in active development. See v3-support to see v3 or the tags to browse stable versions of Parcels.
Parcels provides a set of Python classes and methods to create customisable particle tracking simulations using gridded 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 parcels-code.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.
About
Main code for Parcels - a highly customisable Lagrangian simulation framework
parcels-code.org
Topics
lagrangian-ocean-modellingocean-circulation-modelsparticles
Resources
Readme
MIT license
Code of conduct
Code of conduct
Contributing
Contributing
Activity
Custom properties
Stars
360 stars
Watchers
22 watching
Forks
188 forks
Report repository
Releases
Packages
Used by
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Remove or un-stick sticky/fixed headers that block content\n(function() {\n function unstick() {\n document.querySelectorAll('header, nav, [role=\"banner\"], .header, .navbar, .sticky, .fixed-top, [style*=\"position: fixed\"], [style*=\"position:sticky\"]').forEach(function(el) {\n if (el.style.position === 'fixed' || el.style.position === 'sticky' || \n getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {\n el.style.position = 'static';\n el.style.top = 'auto';\n el.style.zIndex = 'auto';\n }\n });\n }\n \n unstick();\n \n var observer = new MutationObserver(unstick);\n observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });\n})();", "Kill Sticky Headers");
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Parcels
Pixi BadgeAnaconda-releaseAnaconda-dateZenodoEffVer VersioningXarrayRuffunit-testsasvcodecovCII Best PracticesBinderLinkedIn
Warning
This branch contains version 4 of Parcels which is in active development. See v3-support to see v3 or the tags to browse stable versions of Parcels.
Parcels provides a set of Python classes and methods to create customisable particle tracking simulations using gridded 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 parcels-code.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.
About
Main code for Parcels - a highly customisable Lagrangian simulation framework
parcels-code.org
Topics
lagrangian-ocean-modellingocean-circulation-modelsparticles
Resources
Readme
MIT license
Code of conduct
Code of conduct
Contributing
Contributing
Activity
Custom properties
Stars
360 stars
Watchers
22 watching
Forks
188 forks
Report repository
Releases
Packages
Used by
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
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Parcels
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Warning
This branch contains version 4 of Parcels which is in active development. See v3-support to see v3 or the tags to browse stable versions of Parcels.
Parcels provides a set of Python classes and methods to create customisable particle tracking simulations using gridded 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 parcels-code.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.
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Main code for Parcels - a highly customisable Lagrangian simulation framework
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