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plasticparcels

plasticparcels is a python package for simulating the transport and dispersion of plastics in the ocean.

The tool is based on the Parcels computational Lagrangian ocean analysis framework (@Lange2017 and @Delandmeter2019), providing a modular and customisable collection of methods, notebooks, and tutorials for advecting virtual plastic particles with a wide range of physical properties. A peer reviewed paper describing plasticparcels can be found here: DOI.

plasticparcels

Installation

plasticparcels can be installed using conda from the conda-forge channel with the following command:

conda install conda-forge::plasticparcels

Required data

plasticparcels has been developed for use with data from the Copernicus Marine Service, and requires the following data to run:

Option A - Using data streamed from the copernicusmarine toolkit.

  • plasticparcels should work seamlessly with any of the datasets available in the copernicusmarine toolkit

Option B - Using hydrodynamic, biogeochemical and wind/wave model data from global reanalysis products

For downloading the wind and wave data, we recommend using the CDS API.

To run most of the examples, you will need to update the data directories in the relevant settings .json file.

Just like the parcels framework, plasticparcels can be adapted to use other hydrodynamic, biogeochemical, wave, and atmospheric models. If you require assistance, please contact us through the plasticparcels discussions page.

Community contributions and support

Contributing code

We welcome contributions to plasticparcels, especially example workbooks and analyses for our public examples page. To contribute to the project, please submit a pull request.

Requesting features and reporting issues/bugs

If you want to request a new feature, or if you find an issue or bug in the code, please open an issue in the plasticparcels issue tracker.

Seeking support?

If you would like support using plasticparcels, or are have any questions about your plasticparcels simulations, please start a discussion in the plasticparcels discussion page.

Further information

For more information and documentation, see the plasticparcels documentation.

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, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all 
 blocks\n(function() {\n function addCopyButtons() {\n document.querySelectorAll('pre code').forEach(function(codeBlock) {\n if (codeBlock.parentElement.hasAttribute('data-copy-added')) return;\n codeBlock.parentElement.setAttribute('data-copy-added', 'true');\n \n var btn = document.createElement('button');\n btn.textContent = 'Copy';\n btn.style.cssText = 'position:absolute;top:4px;right:4px;padding:2px 8px;font-size:11px;background:#4ecdc4;border:none;border-radius:4px;color:#1a1a2e;cursor:pointer;opacity:0.7;transition:opacity 0.2s;';\n btn.onmouseover = function() { this.style.opacity = '1'; };\n btn.onmouseout = function() { this.style.opacity = '0.7'; };\n btn.onclick = function() {\n navigator.clipboard.writeText(codeBlock.textContent).then(function() {\n btn.textContent = 'Copied!';\n setTimeout(function() { btn.textContent = 'Copy'; }, 1500);\n });\n };\n codeBlock.parentElement.style.position = 'relative';\n codeBlock.parentElement.appendChild(btn);\n });\n }\n \n addCopyButtons();\n \n // Re-run on dynamic content\n var observer = new MutationObserver(addCopyButtons);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Add Copy Buttons to Code Blocks");
}
} catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
})();
(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '

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plasticparcels
plasticparcels is a python package for simulating the transport and dispersion of plastics in the ocean.
The tool is based on the Parcels computational Lagrangian ocean analysis framework (@Lange2017 and @Delandmeter2019), providing a modular and customisable collection of methods, notebooks, and tutorials for advecting virtual plastic particles with a wide range of physical properties. A peer reviewed paper describing plasticparcels can be found here: DOI.
plasticparcels
Installation
plasticparcels can be installed using conda from the conda-forge channel with the following command:
conda install conda-forge::plasticparcels
Required data
plasticparcels has been developed for use with data from the Copernicus Marine Service, and requires the following data to run:
Option A - Using data streamed from the copernicusmarine toolkit.
  • plasticparcels should work seamlessly with any of the datasets available in the copernicusmarine toolkit
Option B - Using hydrodynamic, biogeochemical and wind/wave model data from global reanalysis products
For downloading the wind and wave data, we recommend using the CDS API.
To run most of the examples, you will need to update the data directories in the relevant settings .json file.
Just like the parcels framework, plasticparcels can be adapted to use other hydrodynamic, biogeochemical, wave, and atmospheric models. If you require assistance, please contact us through the plasticparcels discussions page.
Community contributions and support
Contributing code
We welcome contributions to plasticparcels, especially example workbooks and analyses for our public examples page. To contribute to the project, please submit a pull request.
Requesting features and reporting issues/bugs
If you want to request a new feature, or if you find an issue or bug in the code, please open an issue in the plasticparcels issue tracker.
Seeking support?
If you would like support using plasticparcels, or are have any questions about your plasticparcels simulations, please start a discussion in the plasticparcels discussion page.
Further information
For more information and documentation, see the plasticparcels documentation.
DOIunit-testsAnaconda-releaseAnaconda-dateZenodo
About
Repository for PlasticParcels tool
Resources
Readme
MIT license
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3 watching
Forks
8 forks
Report repository
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, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Force GitHub README to respect dark mode\n(function() {\n var style = document.createElement('style');\n style.textContent = '\n .markdown-body {\n color-scheme: dark light;\n }\n .markdown-body pre { background: #161b22 !important; }\n .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }\n .markdown-body table th, .markdown-body table td { border-color: #30363d !important; }\n .markdown-body img { background: #0d1117; }\n .markdown-body blockquote { border-left-color: #8b949e; }\n .markdown-body hr { border-color: #30363d; }\n ';\n document.head.appendChild(style);\n})();", "GitHub Dark Mode README Fix");
}
} catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

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plasticparcels
plasticparcels is a python package for simulating the transport and dispersion of plastics in the ocean.
The tool is based on the Parcels computational Lagrangian ocean analysis framework (@Lange2017 and @Delandmeter2019), providing a modular and customisable collection of methods, notebooks, and tutorials for advecting virtual plastic particles with a wide range of physical properties. A peer reviewed paper describing plasticparcels can be found here: DOI.
plasticparcels
Installation
plasticparcels can be installed using conda from the conda-forge channel with the following command:
conda install conda-forge::plasticparcels
Required data
plasticparcels has been developed for use with data from the Copernicus Marine Service, and requires the following data to run:
Option A - Using data streamed from the copernicusmarine toolkit.
  • plasticparcels should work seamlessly with any of the datasets available in the copernicusmarine toolkit
Option B - Using hydrodynamic, biogeochemical and wind/wave model data from global reanalysis products
For downloading the wind and wave data, we recommend using the CDS API.
To run most of the examples, you will need to update the data directories in the relevant settings .json file.
Just like the parcels framework, plasticparcels can be adapted to use other hydrodynamic, biogeochemical, wave, and atmospheric models. If you require assistance, please contact us through the plasticparcels discussions page.
Community contributions and support
Contributing code
We welcome contributions to plasticparcels, especially example workbooks and analyses for our public examples page. To contribute to the project, please submit a pull request.
Requesting features and reporting issues/bugs
If you want to request a new feature, or if you find an issue or bug in the code, please open an issue in the plasticparcels issue tracker.
Seeking support?
If you would like support using plasticparcels, or are have any questions about your plasticparcels simulations, please start a discussion in the plasticparcels discussion page.
Further information
For more information and documentation, see the plasticparcels documentation.
DOIunit-testsAnaconda-releaseAnaconda-dateZenodo
About
Repository for PlasticParcels tool
Resources
Readme
MIT license
Contributing
Contributing
Activity
Custom properties
Stars
19 stars
Watchers
3 watching
Forks
8 forks
Report repository
Releases
Packages
Used by
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Highlight search terms from Google/DuckDuckGo/Bing referrer\n(function() {\n var ref = document.referrer;\n var terms = [];\n \n if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {\n var url = new URL(ref);\n var q = url.searchParams.get('q') || url.searchParams.get('p');\n if (q) {\n terms = q.split(/\\s+/).filter(function(t) { return t.length > 2; });\n }\n }\n \n if (terms.length === 0) return;\n \n var style = document.createElement('style');\n style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';\n document.head.appendChild(style);\n \n function highlight(node) {\n if (node.nodeType === 3) { // text node\n var text = node.textContent;\n var found = false;\n terms.forEach(function(term) {\n var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\\]\\\\]/g, '\\\\') + ')', 'gi');\n if (regex.test(text)) {\n found = true;\n var frag = document.createDocumentFragment();\n var parts = text.split(regex);\n parts.forEach(function(part, i) {\n if (i % 2 === 0) {\n frag.appendChild(document.createTextNode(part));\n } else {\n var span = document.createElement('span');\n span.className = 'userscript-highlight';\n span.textContent = part;\n frag.appendChild(span);\n }\n });\n node.parentNode.replaceChild(frag, node);\n }\n });\n } else if (node.nodeType === 1 && node.childNodes) { // element\n var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];\n if (!skipTags.includes(node.tagName)) {\n Array.from(node.childNodes).forEach(highlight);\n }\n }\n }\n \n highlight(document.body);\n \n // Re-highlight on dynamic content\n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1 || node.nodeType === 3) highlight(node);\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Highlight Search Terms");
}
} catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

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plasticparcels
plasticparcels is a python package for simulating the transport and dispersion of plastics in the ocean.
The tool is based on the Parcels computational Lagrangian ocean analysis framework (@Lange2017 and @Delandmeter2019), providing a modular and customisable collection of methods, notebooks, and tutorials for advecting virtual plastic particles with a wide range of physical properties. A peer reviewed paper describing plasticparcels can be found here: DOI.
plasticparcels
Installation
plasticparcels can be installed using conda from the conda-forge channel with the following command:
conda install conda-forge::plasticparcels
Required data
plasticparcels has been developed for use with data from the Copernicus Marine Service, and requires the following data to run:
Option A - Using data streamed from the copernicusmarine toolkit.
  • plasticparcels should work seamlessly with any of the datasets available in the copernicusmarine toolkit
Option B - Using hydrodynamic, biogeochemical and wind/wave model data from global reanalysis products
For downloading the wind and wave data, we recommend using the CDS API.
To run most of the examples, you will need to update the data directories in the relevant settings .json file.
Just like the parcels framework, plasticparcels can be adapted to use other hydrodynamic, biogeochemical, wave, and atmospheric models. If you require assistance, please contact us through the plasticparcels discussions page.
Community contributions and support
Contributing code
We welcome contributions to plasticparcels, especially example workbooks and analyses for our public examples page. To contribute to the project, please submit a pull request.
Requesting features and reporting issues/bugs
If you want to request a new feature, or if you find an issue or bug in the code, please open an issue in the plasticparcels issue tracker.
Seeking support?
If you would like support using plasticparcels, or are have any questions about your plasticparcels simulations, please start a discussion in the plasticparcels discussion page.
Further information
For more information and documentation, see the plasticparcels documentation.
DOIunit-testsAnaconda-releaseAnaconda-dateZenodo
About
Repository for PlasticParcels tool
Resources
Readme
MIT license
Contributing
Contributing
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19 stars
Watchers
3 watching
Forks
8 forks
Report repository
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Used by
Contributors
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, '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");
}
} catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); }
})();
(function(){
try {
var __m = "youtube.com";
var __re = new RegExp('^' + "youtube\\.com" + '

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plasticparcels
plasticparcels is a python package for simulating the transport and dispersion of plastics in the ocean.
The tool is based on the Parcels computational Lagrangian ocean analysis framework (@Lange2017 and @Delandmeter2019), providing a modular and customisable collection of methods, notebooks, and tutorials for advecting virtual plastic particles with a wide range of physical properties. A peer reviewed paper describing plasticparcels can be found here: DOI.
plasticparcels
Installation
plasticparcels can be installed using conda from the conda-forge channel with the following command:
conda install conda-forge::plasticparcels
Required data
plasticparcels has been developed for use with data from the Copernicus Marine Service, and requires the following data to run:
Option A - Using data streamed from the copernicusmarine toolkit.
  • plasticparcels should work seamlessly with any of the datasets available in the copernicusmarine toolkit
Option B - Using hydrodynamic, biogeochemical and wind/wave model data from global reanalysis products
For downloading the wind and wave data, we recommend using the CDS API.
To run most of the examples, you will need to update the data directories in the relevant settings .json file.
Just like the parcels framework, plasticparcels can be adapted to use other hydrodynamic, biogeochemical, wave, and atmospheric models. If you require assistance, please contact us through the plasticparcels discussions page.
Community contributions and support
Contributing code
We welcome contributions to plasticparcels, especially example workbooks and analyses for our public examples page. To contribute to the project, please submit a pull request.
Requesting features and reporting issues/bugs
If you want to request a new feature, or if you find an issue or bug in the code, please open an issue in the plasticparcels issue tracker.
Seeking support?
If you would like support using plasticparcels, or are have any questions about your plasticparcels simulations, please start a discussion in the plasticparcels discussion page.
Further information
For more information and documentation, see the plasticparcels documentation.
DOIunit-testsAnaconda-releaseAnaconda-dateZenodo
About
Repository for PlasticParcels tool
Resources
Readme
MIT license
Contributing
Contributing
Activity
Custom properties
Stars
19 stars
Watchers
3 watching
Forks
8 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");
}
} catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

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plasticparcels
plasticparcels is a python package for simulating the transport and dispersion of plastics in the ocean.
The tool is based on the Parcels computational Lagrangian ocean analysis framework (@Lange2017 and @Delandmeter2019), providing a modular and customisable collection of methods, notebooks, and tutorials for advecting virtual plastic particles with a wide range of physical properties. A peer reviewed paper describing plasticparcels can be found here: DOI.
plasticparcels
Installation
plasticparcels can be installed using conda from the conda-forge channel with the following command:
conda install conda-forge::plasticparcels
Required data
plasticparcels has been developed for use with data from the Copernicus Marine Service, and requires the following data to run:
Option A - Using data streamed from the copernicusmarine toolkit.
  • plasticparcels should work seamlessly with any of the datasets available in the copernicusmarine toolkit
Option B - Using hydrodynamic, biogeochemical and wind/wave model data from global reanalysis products
For downloading the wind and wave data, we recommend using the CDS API.
To run most of the examples, you will need to update the data directories in the relevant settings .json file.
Just like the parcels framework, plasticparcels can be adapted to use other hydrodynamic, biogeochemical, wave, and atmospheric models. If you require assistance, please contact us through the plasticparcels discussions page.
Community contributions and support
Contributing code
We welcome contributions to plasticparcels, especially example workbooks and analyses for our public examples page. To contribute to the project, please submit a pull request.
Requesting features and reporting issues/bugs
If you want to request a new feature, or if you find an issue or bug in the code, please open an issue in the plasticparcels issue tracker.
Seeking support?
If you would like support using plasticparcels, or are have any questions about your plasticparcels simulations, please start a discussion in the plasticparcels discussion page.
Further information
For more information and documentation, see the plasticparcels documentation.
DOIunit-testsAnaconda-releaseAnaconda-dateZenodo
About
Repository for PlasticParcels tool
Resources
Readme
MIT license
Contributing
Contributing
Activity
Custom properties
Stars
19 stars
Watchers
3 watching
Forks
8 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");
}
} catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

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plasticparcels
plasticparcels is a python package for simulating the transport and dispersion of plastics in the ocean.
The tool is based on the Parcels computational Lagrangian ocean analysis framework (@Lange2017 and @Delandmeter2019), providing a modular and customisable collection of methods, notebooks, and tutorials for advecting virtual plastic particles with a wide range of physical properties. A peer reviewed paper describing plasticparcels can be found here: DOI.
plasticparcels
Installation
plasticparcels can be installed using conda from the conda-forge channel with the following command:
conda install conda-forge::plasticparcels
Required data
plasticparcels has been developed for use with data from the Copernicus Marine Service, and requires the following data to run:
Option A - Using data streamed from the copernicusmarine toolkit.
  • plasticparcels should work seamlessly with any of the datasets available in the copernicusmarine toolkit
Option B - Using hydrodynamic, biogeochemical and wind/wave model data from global reanalysis products
For downloading the wind and wave data, we recommend using the CDS API.
To run most of the examples, you will need to update the data directories in the relevant settings .json file.
Just like the parcels framework, plasticparcels can be adapted to use other hydrodynamic, biogeochemical, wave, and atmospheric models. If you require assistance, please contact us through the plasticparcels discussions page.
Community contributions and support
Contributing code
We welcome contributions to plasticparcels, especially example workbooks and analyses for our public examples page. To contribute to the project, please submit a pull request.
Requesting features and reporting issues/bugs
If you want to request a new feature, or if you find an issue or bug in the code, please open an issue in the plasticparcels issue tracker.
Seeking support?
If you would like support using plasticparcels, or are have any questions about your plasticparcels simulations, please start a discussion in the plasticparcels discussion page.
Further information
For more information and documentation, see the plasticparcels documentation.
DOIunit-testsAnaconda-releaseAnaconda-dateZenodo
About
Repository for PlasticParcels tool
Resources
Readme
MIT license
Contributing
Contributing
Activity
Custom properties
Stars
19 stars
Watchers
3 watching
Forks
8 forks
Report repository
Releases
Packages
Used by
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Universal Dark Mode - works on any site\n(function() {\n var enabled = true;\n \n function applyDarkMode() {\n if (!enabled) return;\n \n // Create style element if it doesn't exist\n var style = document.getElementById('universal-dark-mode-style');\n if (!style) {\n style = document.createElement('style');\n style.id = 'universal-dark-mode-style';\n document.head.appendChild(style);\n }\n \n // Dark mode CSS - inverts colors but preserves images/video\n style.textContent = '\n /* Invert everything except media */\n html {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #1a1a2e !important;\n }\n \n /* Restore images, videos, iframes, canvas */\n img, video, iframe, canvas, svg, picture, [style*=\"background-image\"] {\n filter: invert(1) hue-rotate(180deg) !important;\n }\n \n /* Preserve specific elements that should not be inverted */\n .no-dark-mode, .no-dark-mode *,\n [data-theme=\"light\"], [data-theme=\"light\"],\n .ace_editor, .ace_editor *,\n .CodeMirror, .CodeMirror *,\n .monaco-editor, .monaco-editor *,\n .markdown-body pre, .markdown-body pre *,\n .highlight, .highlight *,\n pre code, pre code * {\n filter: none !important;\n }\n \n /* Fix common UI elements */\n .modal, .popup, .dropdown-menu, .tooltip, .popover {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #2d2d44 !important;\n border-color: #444 !important;\n }\n \n /* Scrollbars */\n ::-webkit-scrollbar { background: #1a1a2e !important; }\n ::-webkit-scrollbar-thumb { background: #444 !important; }\n ::-webkit-scrollbar-thumb:hover { background: #555 !important; }\n \n /* Selection */\n ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ';\n }\n \n function removeDarkMode() {\n var style = document.getElementById('universal-dark-mode-style');\n if (style) style.remove();\n }\n \n // Toggle with Alt+Shift+D\n document.addEventListener('keydown', function(e) {\n if (e.altKey && e.shiftKey && e.key === 'D') {\n e.preventDefault();\n enabled = !enabled;\n if (enabled) {\n applyDarkMode();\n console.log('[Universal Dark Mode] Enabled');\n } else {\n removeDarkMode();\n console.log('[Universal Dark Mode] Disabled');\n }\n }\n });\n \n // Apply on load\n applyDarkMode();\n \n // Re-apply on dynamic content\n var observer = new MutationObserver(function(mutations) {\n if (enabled && !document.getElementById('universal-dark-mode-style')) {\n applyDarkMode();\n }\n });\n observer.observe(document.head, { childList: true });\n \n console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');\n})();", "Universal Dark Mode");
}
} catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); }
})();
})();

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plasticparcels
plasticparcels is a python package for simulating the transport and dispersion of plastics in the ocean.
The tool is based on the Parcels computational Lagrangian ocean analysis framework (@Lange2017 and @Delandmeter2019), providing a modular and customisable collection of methods, notebooks, and tutorials for advecting virtual plastic particles with a wide range of physical properties. A peer reviewed paper describing plasticparcels can be found here: DOI.
plasticparcels
Installation
plasticparcels can be installed using conda from the conda-forge channel with the following command:
conda install conda-forge::plasticparcels
Required data
plasticparcels has been developed for use with data from the Copernicus Marine Service, and requires the following data to run:
Option A - Using data streamed from the copernicusmarine toolkit.
  • plasticparcels should work seamlessly with any of the datasets available in the copernicusmarine toolkit
Option B - Using hydrodynamic, biogeochemical and wind/wave model data from global reanalysis products
For downloading the wind and wave data, we recommend using the CDS API.
To run most of the examples, you will need to update the data directories in the relevant settings .json file.
Just like the parcels framework, plasticparcels can be adapted to use other hydrodynamic, biogeochemical, wave, and atmospheric models. If you require assistance, please contact us through the plasticparcels discussions page.
Community contributions and support
Contributing code
We welcome contributions to plasticparcels, especially example workbooks and analyses for our public examples page. To contribute to the project, please submit a pull request.
Requesting features and reporting issues/bugs
If you want to request a new feature, or if you find an issue or bug in the code, please open an issue in the plasticparcels issue tracker.
Seeking support?
If you would like support using plasticparcels, or are have any questions about your plasticparcels simulations, please start a discussion in the plasticparcels discussion page.
Further information
For more information and documentation, see the plasticparcels documentation.
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