Primary Contact of the Product:
Said Ouala
EOMOI-O2
Product Links
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."
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