Biogeochemical Argo - Data Products

SOCA MULTIOBS
SOCA MULTIOBS

Primary Contact of the Product:

Raphaëlle Sauzède
  • Affiliation:IMEV, CNRS
  • Country:France
  • Email:raphaelle.sauzede@imev-mer.fr

SOCA MULTIOBS

  • Acronym:SOCA MULTIOBS
  • Product Name:Global Ocean 3D Chlorophyll-a concentration, Particulate Backscattering coefficient and Particulate Organic Carbon
  • Feature Type: Grid
  • Gap-Filling Method: Machine learning
  • Depth Range (m): 0-1000m (36 levels)
  • Temp. resolution: Weekly, Multi-Year Monthly Climatology
  • Update Frequency: Yearly
  • Time Range: since 1998-Year-1
  • Ref. dataset(s): BGC-Argo, Satellite
  • Ancillary dataset(s): ARMOR3D
  • File Format: NetCDF4

Product Links

  • Variables Scope:
  • Detailed Variables: Chlorophyll-a, BBP
  • Area of coverage: Global Ocean
  • Spatial Resolution: 1/4° × 1/4°
SOCA MULTIOBS : Global Ocean 3D Chlorophyll-a concentration, Particulate Backscattering coefficient and Particulate Organic Carbon.

This product consists of 3D fields of Particulate Organic Carbon (POC), Particulate Backscattering coefficient (bbp) and Chlorophyll-a concentration (Chla) at depth. The reprocessed product is provided at 0.25°x0.25° horizontal resolution, over 36 levels from the surface to 1000 m depth. A neural network method estimates both the vertical distribution of Chla concentration and of particulate backscattering coefficient (bbp), a bio-optical proxy for POC, from merged surface ocean color satellite measurements with hydrological properties and additional relevant drivers.

Authors Affiliation
Raphaëlle Sauzède
(IMEV, CNRS, France)
Pannimpulatth R. Renosh
(LOV, CNRS, France)
Catherine Schmechtig
(OSU Ecce Terra, CNRS, France)
Julia Uitz
(LOV, CNRS, France)
Hervé Claustre
(LOV, CNRS, France)
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  • Copernicus
  • Sorbonne Université
  • CNRS
  • ERC

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