Journal metrics

Journal metrics

  • IF value: 4.252 IF 4.252
  • IF 5-year value: 4.890 IF 5-year 4.890
  • CiteScore value: 4.49 CiteScore 4.49
  • SNIP value: 1.539 SNIP 1.539
  • SJR value: 2.404 SJR 2.404
  • IPP value: 4.28 IPP 4.28
  • h5-index value: 40 h5-index 40
  • Scimago H index value: 51 Scimago H index 51
Geosci. Model Dev., 10, 4175-4186, 2017
https://doi.org/10.5194/gmd-10-4175-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.
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
Download
Interactive discussionStatus: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version      Supplement - Supplement
 
RC1: 'Comments on "Parcels v0.9: prototyping a Lagrangian Ocean Analysis framework for the petascale age"', Joakim Kjellsson, 19 Aug 2017 Printer-friendly Version 
AC1: 'Response to reviewer 1', Erik van Sebille, 26 Sep 2017 Printer-friendly Version Supplement 
 
RC2: 'Comments on Parcels v0.9: prototyping a Lagrangian Ocean Analysis framework for the petascale age', Yu Cheng, 24 Aug 2017 Printer-friendly Version 
AC2: 'Response to reviewer 2', Erik van Sebille, 26 Sep 2017 Printer-friendly Version Supplement 
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 Robert Marsh
RR by Joakim Kjellsson (06 Oct 2017)
ED: Publish as is (10 Oct 2017) by Robert Marsh  
CC BY 4.0
Publications Copernicus
Download
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.
Here, we present version 0.9 of Parcels (Probably A Really Computationally Efficient Lagrangian...
Share