Articles | Volume 16, issue 15
Model description paper
08 Aug 2023
Model description paper |  | 08 Aug 2023

DynQual v1.0: a high-resolution global surface water quality model

Edward R. Jones, Marc F. P. Bierkens, Niko Wanders, Edwin H. Sutanudjaja, Ludovicus P. H. van Beek, and Michelle T. H. van Vliet


Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • CC1: 'Comment on gmd-2022-222', Jason Ke, 28 Dec 2022
    • AC1: 'Reply on CC1', Edward R. Jones, 26 Jan 2023
  • RC1: 'Comment on gmd-2022-222', Anonymous Referee #1, 14 Mar 2023
    • AC2: 'Reply on RC1', Edward R. Jones, 14 Apr 2023
  • RC2: 'Comment on gmd-2022-222', Wolfgang Kurtz, 01 May 2023
    • AC3: 'Reply on RC2', Edward R. Jones, 08 May 2023

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Edward R. Jones on behalf of the Authors (31 May 2023)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (11 Jun 2023) by Wolfgang Kurtz
RR by Anonymous Referee #1 (07 Jul 2023)
RR by Anonymous Referee #2 (09 Jul 2023)
ED: Publish as is (09 Jul 2023) by Wolfgang Kurtz
AR by Edward R. Jones on behalf of the Authors (10 Jul 2023)
Short summary
DynQual is a new high-resolution global water quality model for simulating total dissolved solids, biological oxygen demand and fecal coliform as indicators of salinity, organic pollution and pathogen pollution, respectively. Output data from DynQual can supplement the observational record of water quality data, which is highly fragmented across space and time, and has the potential to inform assessments in a broad range of fields including ecological, human health and water scarcity studies.