Preprints
https://doi.org/10.5194/bg-2021-2
https://doi.org/10.5194/bg-2021-2

  20 Jan 2021

20 Jan 2021

Review status: a revised version of this preprint is currently under review for the journal BG.

Defining BGC-Argo-based metrics of ocean health and biogeochemical functioning for the evaluation of global ocean models

Alexandre Mignot1, Hervé Claustre2,3, Gianpiero Cossarini4, Fabrizio D'Ortenzio2,3, Elodie Gutknecht1, Julien Lamouroux1, Paolo Lazzari4, Coralie Perruche1, Stefano Salon4, Raphaelle Sauzède3, Vincent Taillandier2,3, and Anna Terruzzi4 Alexandre Mignot et al.
  • 1Mercator Océan International, Ramonville-Saint-Agne, France
  • 2Laboratoire d'Océanographie de Villefranche-sur-Mer, Villefranche-sur-Mer, CNRS and Sorbonne Université, 06230 Villefranche-sur-Mer, France
  • 3Institut de la Mer de Villefranche, CNRS and Sorbonne Université, 06230 Villefranche-sur-Mer, France
  • 4National Institute of Oceanography and Applied Science-OGS, Trieste, Italy

Abstract. Numerical models of ocean biogeochemistry are becoming a major tool to detect and predict the impact of climate change on marine resources and ocean health. Classically, validation of such models relies on comparison with surface quantities from satellite (such as chlorophyll-a concentrations), climatologies, or sparse in situ data (such as cruises observations, and permanent fixed oceanic stations). However, these datasets are not fully suitable to assess how models represent many climate-relevant biogeochemical processes.  These limitations now begin to be overcome with the availability of a large number of vertical profiles of light, pH, oxygen, nitrate, chlorophyll-a concentrations and particulate backscattering acquired by the Biogeochemical-Argo (BGC-Argo) floats network. Additionally, other key biogeochemical variables such as dissolved inorganic carbon and alkalinity, not measured by floats, can be predicted by machine learning-based methods applied to float oxygen concentrations. Here, we demonstrate the use of the global array of BGC-Argo floats for the validation of biogeochemical models at the global scale. We first present 18 key metrics of ocean health and biogeochemical functioning to quantify the success of BGC model simulations. These metrics are associated with the air-sea CO2 flux, the biological carbon pump, oceanic pH, oxygen levels and Oxygen Minimum Zones (OMZs). The metrics are either a depth-averaged quantity or correspond to the depth of a particular feature. We also suggest four diagnostic plots for displaying such metrics.

Alexandre Mignot et al.

Status: final response (author comments only)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on bg-2021-2', Anonymous Referee #1, 17 Feb 2021
  • RC2: 'Comment on bg-2021-2', Marcello Vichi, 07 Mar 2021

Alexandre Mignot et al.

Alexandre Mignot et al.

Viewed

Total article views: 921 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
618 288 15 921 6 8
  • HTML: 618
  • PDF: 288
  • XML: 15
  • Total: 921
  • BibTeX: 6
  • EndNote: 8
Views and downloads (calculated since 20 Jan 2021)
Cumulative views and downloads (calculated since 20 Jan 2021)

Viewed (geographical distribution)

Total article views: 806 (including HTML, PDF, and XML) Thereof 799 with geography defined and 7 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 26 Oct 2021
Download
Altmetrics