Articles | Volume 20, issue 13
Research article
06 Jul 2023
Research article |  | 06 Jul 2023

Exploring the role of different data types and timescales in the quality of marine biogeochemical model calibration

Iris Kriest, Julia Getzlaff, Angela Landolfi, Volkmar Sauerland, Markus Schartau, and Andreas Oschlies


Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on Kriest et al.,', Anonymous Referee #1, 14 Feb 2023
  • RC2: 'Comment on bg-2023-9', Jörg Schwinger, 28 Feb 2023

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
ED: Reconsider after major revisions (31 Mar 2023) by Marilaure Grégoire
AR by Iris Kriest on behalf of the Authors (05 May 2023)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (09 May 2023) by Marilaure Grégoire
RR by Jörg Schwinger (22 May 2023)
ED: Publish as is (24 May 2023) by Marilaure Grégoire
AR by Iris Kriest on behalf of the Authors (31 May 2023)  Manuscript 
Short summary
Global biogeochemical ocean models are often subjectively assessed and tuned against observations. We applied different strategies to calibrate a global model against observations. Although the calibrated models show similar tracer distributions at the surface, they differ in global biogeochemical fluxes, especially in global particle flux. Simulated global volume of oxygen minimum zones varies strongly with calibration strategy and over time, rendering its temporal extrapolation difficult.
Final-revised paper