Biogeochemical Argo - Data Products

EOMOI-O2

Primary Contact of the Product:

Said Ouala
  • Affiliation: IMT AtlantiqueCNRS UMR Lab-STICCINRIA Team Odyssey
  • Country: France
  • Email: said.ouala at imt-atlantique.fr

EOMOI-O2

  • Acronym:EOMOI-O2
  • Product Name:Global gridded Ocean Oxygen Productderived from a Neural Network Emulatorand in-situ Observations
  • Feature Type: Grid
  • Gap-Filling Method: Optimal interpolation
  • Spatial Resolution: 1° × 1°
  • Depth Range: 0 - 2000 m (67 levels)
  • Temp. resolution: Monthly, Yearly
  • Time Range: 1965 > 2022 (yearly) 2005 > 2022 (monthly)
  • Update Frequency: Not Updated
  • Ref. dataset(s): WOD
  • Ancillary dataset(s): N/A
  • File Format: NetCDF4

Product Links

  • Variables Scope:
  • Detailed Variables: O2
  • Area of coverage: Global Ocean
  • Spatial Resolution: 1° × 1°
EOMOI-O2: A Global gridded Ocean Oxygen Product derived from a Neural Network Emulator and in-situ Observations

EOMOI-O2 : Emulated-Observed Mapped Ocean Oxygen Product (1965-2022). This global gridded dataset combines direct dissolved oxygen observations with neural-network emulated profiles derived from temperature and salinity. Observed and emulated data are mapped onto a global 1°×1° horizontal grid with 67 depth levels ranging from 0 to 2000 m. Two versions are provided: yearly resolution (1965–2022) and monthly resolution (2005–2022).

Authors Affiliation
Said Ouala
(IMT Atlantique, CNRS UMR Lab-STICC, INRIA Team Odyssey, Brest, France)
Oussama Hidaoui
(African Institute for Mathematical Sciences, Cape Town, South Africa)
Zouhair Lachkar
(Mubadala Arabian Center for Climate and Environmental Sciences, New York University Abu Dhabi, Abu Dhabi, United Arab Emirates)
How to cite BGC-Argo Product
We kindly ask users to cite this product as indicated on the product webpage and DOIs provided in the link below. Proper citation ensures that the use of the dataset is correctly tracked and credited. Please also note that OneArgo data products are freely available without restriction. However, to help us track usage and assess the impact of these products, we request that users include an appropriate acknowledgement in any resulting publications or derived products.

In addition to citing the product DOI, please include the following acknowledgement:
"The OneArgo data were collected and made freely available by the International Argo Program and the national programs that contribute to it (https://argo.ucsd.edu, https://www.ocean-ops.org). The OneArgo Program is part of the Global Ocean Observing System."

We greatly appreciate your cooperation in supporting open science and the continued development of these data products.
  • AI4Extremes Chair, Horizon project AI4PEX (Grant Agreement No. 101137682)
  • Tamkeen (grant CG009 to the Mubadala ACCESS Center)
  • Mubadala Philanthropies (grant XR016)
  • NYU Abu Dhabi High Performance Computing (HPC) cluster Jubail

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