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ZENODO
Software . 2018
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Software . 2018
License: CC BY
Data sources: ZENODO
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Software . 2018
License: CC BY
Data sources: Datacite
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c-tracker

Authors: Cimatoribus, Andrea;
Abstract

C-tracker is a Lagrangian particle tracker code for hydrodynamic numerical simulations. It is written in a combination of python and cython. The numerical part reproduces the results of the "Tracmass" code by Döös et al. (https://github.com/TRACMASS/tracmass), with some minor changes in the numerical algorithm and a simple parallel implementation. It is developed for use with MITgcm results, but any C- (or B-) grid data could be used as a source for the hydrodynamic fields. The code, while tested for the correctness of the results, should be considered experimental.

The code repository, where improvements or bug fixes may be published, is https://c4science.ch/project/view/1415/

Keywords

python, parallel, cython, MITgcm, Lagrangian particles, Tracmass, particle tracking

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citations
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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