Articles | Volume 20, issue 13
https://doi.org/10.5194/bg-20-2645-2023
https://doi.org/10.5194/bg-20-2645-2023
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

Viewed

Total article views: 1,014 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
721 259 34 1,014 83 22 17
  • HTML: 721
  • PDF: 259
  • XML: 34
  • Total: 1,014
  • Supplement: 83
  • BibTeX: 22
  • EndNote: 17
Views and downloads (calculated since 24 Jan 2023)
Cumulative views and downloads (calculated since 24 Jan 2023)

Viewed (geographical distribution)

Total article views: 1,014 (including HTML, PDF, and XML) Thereof 1,015 with geography defined and -1 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 28 Feb 2024
Download
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.
Altmetrics
Final-revised paper
Preprint