Articles | Volume 14, issue 10
Geosci. Model Dev., 14, 5915–5925, 2021
https://doi.org/10.5194/gmd-14-5915-2021
Geosci. Model Dev., 14, 5915–5925, 2021
https://doi.org/10.5194/gmd-14-5915-2021

Development and technical paper 30 Sep 2021

Development and technical paper | 30 Sep 2021

GP-SWAT (v1.0): a two-level graph-based parallel simulation tool for the SWAT model

Dejian Zhang 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-2020-429', Anonymous Referee #1, 17 Mar 2021
  • RC2: 'Comment on gmd-2020-429', Liangjun Zhu, 13 May 2021
  • AC1: 'Comment on gmd-2020-429', Qiaoying Lin, 03 Jun 2021

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Qiaoying Lin on behalf of the Authors (03 Jun 2021)  Author's response    Author's tracked changes    Manuscript
ED: Referee Nomination & Report Request started (18 Jun 2021) by Wolfgang Kurtz
RR by Anonymous Referee #1 (19 Jun 2021)
RR by Liangjun Zhu (21 Jun 2021)
ED: Reconsider after major revisions (02 Jul 2021) by Wolfgang Kurtz
AR by Qiaoying Lin on behalf of the Authors (23 Jul 2021)  Author's response    Author's tracked changes    Manuscript
ED: Referee Nomination & Report Request started (12 Aug 2021) by Wolfgang Kurtz
RR by Liangjun Zhu (13 Aug 2021)
ED: Publish as is (04 Sep 2021) by Wolfgang Kurtz
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Short summary
GP-SWAT is a two-layer model parallelization tool for a SWAT model based on the graph-parallel Pregel algorithm. It can be employed to perform both individual and iterative model parallelization, endowing it with a range of possible applications and great flexibility in maximizing performance. As a flexible and scalable tool, it can run in diverse environments, ranging from a commodity computer with a Microsoft Windows, Mac or Linux OS to a Spark cluster consisting of a large number of nodes.