Articles | Volume 14, issue 7
Geosci. Model Dev., 14, 4769–4780, 2021
https://doi.org/10.5194/gmd-14-4769-2021
Geosci. Model Dev., 14, 4769–4780, 2021
https://doi.org/10.5194/gmd-14-4769-2021

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 et al.

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on gmd-2020-385', Anonymous Referee #1, 25 Jan 2021
  • RC2: 'Comment on gmd-2020-385', Anonymous Referee #2, 29 Mar 2021
  • AC1: 'Final response to reviewers in GMDD', Axel Peytavin, 06 May 2021

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Axel Peytavin on behalf of the Authors (06 May 2021)  Author's response    Author's tracked changes    Manuscript
ED: Referee Nomination & Report Request started (26 May 2021) by Volker Grewe
RR by Anonymous Referee #1 (04 Jun 2021)
ED: Publish as is (04 Jun 2021) by Volker Grewe
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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.