Parcels v0.9: prototyping a Lagrangian ocean analysis framework for the petascale age

Lange, Michael; van Sebille, Erik

doi:https://doi.org/10.5194/gmd-10-4175-2017

Articles | Volume 10, issue 11

https://doi.org/10.5194/gmd-10-4175-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/gmd-10-4175-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 10, issue 11

Model description paper

|

17 Nov 2017

Model description paper |

| 17 Nov 2017

Parcels v0.9: prototyping a Lagrangian ocean analysis framework for the petascale age

Michael Lange and Erik van Sebille

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Final revised paper (published on 17 Nov 2017)
Preprint (discussion started on 19 Jul 2017)

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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- Supplement

RC1: 'Comments on "Parcels v0.9: prototyping a Lagrangian Ocean Analysis framework for the petascale age"', Joakim Kjellsson, 19 Aug 2017
- AC1: 'Response to reviewer 1', Erik van Sebille, 26 Sep 2017
RC2: 'Comments on Parcels v0.9: prototyping a Lagrangian Ocean Analysis framework for the petascale age', Yu Cheng, 24 Aug 2017
- AC2: 'Response to reviewer 2', Erik van Sebille, 26 Sep 2017

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision

AR by Erik van Sebille on behalf of the Authors (26 Sep 2017) Author's response Manuscript

ED: Referee Nomination & Report Request started (27 Sep 2017) by R. Marsh

RR by Joakim Kjellsson (06 Oct 2017)

ED: Publish as is (10 Oct 2017) by R. Marsh

AR by Erik van Sebille on behalf of the Authors (10 Oct 2017) Manuscript

Short summary

Here, we present version 0.9 of Parcels (Probably A Really Computationally Efficient Lagrangian Simulator). Parcels is an experimental prototype code aimed at exploring novel approaches for Lagrangian tracking of virtual ocean particles in the petascale age. The modularity, flexibility and scalability will allow the code to be used to track water, nutrients, microbes, plankton, plastic and even fish.