Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 14, issue 7
Articles | Volume 14, issue 7
https://doi.org/10.5194/gmd-14-4769-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-14-4769-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 14, issue 7
Model description paper
 | 
30 Jul 2021
Model description paper |  | 30 Jul 2021

Ocean Plastic Assimilator v0.2: assimilation of plastic concentration data into Lagrangian dispersion models

Axel Peytavin, Bruno Sainte-Rose, Gael Forget, and Jean-Michel Campin

Viewed

Total article views: 2,772 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,714 970 88 2,772 101 138
  • HTML: 1,714
  • PDF: 970
  • XML: 88
  • Total: 2,772
  • BibTeX: 101
  • EndNote: 138
Views and downloads (calculated since 08 Jan 2021)
Cumulative views and downloads (calculated since 08 Jan 2021)

Viewed (geographical distribution)

Total article views: 2,772 (including HTML, PDF, and XML) Thereof 2,605 with geography defined and 167 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 29 Nov 2025
Download
Short summary
We present a new algorithm developed at The Ocean Cleanup to update ocean plastic models based on measurements from the field to improve future cleaning operations. Prepared in collaboration with MIT researchers, this initial study presents its use in several analytical and real test cases in which two observers in a flow field record regular observations to update a plastic forecast. We demonstrate this improves the prediction, even with inaccurate knowledge of the water flows driving plastic.
Read more
Share