1,721,123 research outputs found

    C-grid interpolation schemes implemented into Parcels v2.0

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    <p>This simple code implements the interpolation schemes for curvilinear C-grids,<br> as they are coded into Parcels v2.0.0-beta (<a href="https://github.com/OceanParcels/parcels">https://github.com/OceanParcels/parcels</a>).<br> The schemes are fully described in<br> "The Parcels v2.0 Lagrangian framework: new field interpolation schemes", by Philippe Delandmeter and Erik van Sebille, submitted to Geoscientific Model Development.</p

    Code and data for “Disentangling Carbon Concentration Changes Along Pathways of North Atlantic Subtropical Mode Water”

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    This repository contains code and data for the manuscript “Disentangling Carbon Concentration Changes Along Pathways of North Atlantic Subtropical Mode Water” by Daan Reijnders, Dorothee C.E. Bakker and Erik van Sebille, submitted to JGR: Oceans. The code is a snapshot of the GitHub repository found at https://github.com/OceanParcels/NASTMW_DIC (taken on 16 April 2024, commit 52ef965). The data consists of Lagrangian trajectories, identified DIC enrichment and depletion events, pathway masks, and aggregated statistics

    C-grid interpolation schemes implemented into Parcels v2.0

    No full text
    &lt;p&gt;This simple code implements the interpolation schemes for curvilinear C-grids,&lt;br&gt; as they are coded into Parcels v2.0.0-beta (&lt;a href="https://github.com/OceanParcels/parcels"&gt;https://github.com/OceanParcels/parcels&lt;/a&gt;).&lt;br&gt; The schemes are fully described in&lt;br&gt; &quot;The Parcels v2.0 Lagrangian framework: new field interpolation schemes&quot;, by Philippe Delandmeter and Erik van Sebille, submitted to Geoscientific Model Development.&lt;/p&gt

    sj-pdf-1-wmr-10.1177_0734242X231180863 – Supplemental material for Knowns and unknowns of plastic waste flows in the Netherlands

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    Supplemental material, sj-pdf-1-wmr-10.1177_0734242X231180863 for Knowns and unknowns of plastic waste flows in the Netherlands by Delphine Lobelle, Li Shen, Bas van Huet, Tim van Emmerik, Mikael Kaandorp, Giulia Iattoni, Cornelius Peter Baldé, Kara Lavender Law and Erik van Sebille in Waste Management & Research</p

    sj-pdf-2-wmr-10.1177_0734242X231180863 – Supplemental material for Knowns and unknowns of plastic waste flows in the Netherlands

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    Supplemental material, sj-pdf-2-wmr-10.1177_0734242X231180863 for Knowns and unknowns of plastic waste flows in the Netherlands by Delphine Lobelle, Li Shen, Bas van Huet, Tim van Emmerik, Mikael Kaandorp, Giulia Iattoni, Cornelius Peter Baldé, Kara Lavender Law and Erik van Sebille in Waste Management & Research</p

    Stand up for the ocean

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    Text of the inaugural lecture ("oratie") of prof. dr. Erik van Sebille, upon assumption of his professorship in the field of Oceanography and Public Engagement. See https://www.youtube.com/watch?v=vnUVErbiomM for the recording of this lecture

    Stand up for the ocean: Inaugural lecture at Utrecht University

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    Text of the inaugural lecture ("oratie") of prof. dr. Erik van Sebille, upon assumption of his professorship in the field of Oceanography and Public Engagement. See https://www.youtube.com/watch?v=vnUVErbiomM for the recording of this lecture

    Computing Marine Plankton Connectivity under Thermal Constraints

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    Data generated for manuscript 'Computing Marine Plankton Connectivity under Thermal Constraints' submitted to Frontiers in Marine Science, section Marine Ecosystem Ecology on 10 October 2022. The data consists of release locations file and mapping of locations to Lagrangian simulations, connectivity matrices, matrices from bootstrapping results and between sample station connectivities. The repository with the code to run the generate release locations, simulations and analysis is available at https://github.com/OceanParcels/atlanteco_tara_connectivity_plankton

    Performance Measurement Data for Speeding Up Lagrangian Fluid-Flow Particle Simulations in Python via Dynamic Collections

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    This data repository contains the raw measurement for the scientific computing-article of speeding up lagrangian fluid-flow simulations in Python (within the parcels-framework), called: Kehl, C., van Sebille, E. and Gibson, A. "Speeding up Python-based Lagrangian Fluid-Flow Particle Simulations via Dynamic Collection Data Structures", 2021, to be submitted to SIAM Journal of Scientific Computing The repository is structured as follows: - code_links/ - folder containing a collection of text files with links to GitHub (where the code is stored), and meta-information on version etc. - measurements/ - contains the OpenOffice / LibreCalc table with the performance measurements of the different data structures in relation to the number of particles (raw data) - plots/ - original-resolution plots of the *measurements*, as they are found in the publicatio

    Separation timescales of vertically migrating zooplankton and other (a)biotic materials in the Benguela system

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    Data generated for the manuscript titled: "Separation timescales of vertically migrating zooplankton and other (a)biotic materials in the Benguela system" and submitted to JGR Oceans. The data repository consists of simulation outputs and files generated for analysis
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