Biogeochemical Argo - Data Products

G4D-DOC

Primary Contact of the Product:

Cunjin Xue
  • Affiliation: Aerospace Information Research Institute, Chinese Academy of Sciences
  • Country: China
  • Email: xuecj at aircas.ac.cn

G4D-DOC

  • Acronym:G4D-DOC
  • Product Name:Global Ocean Dissolved OxygenConcentration Gridded Dataset
  • Feature Type: Grid
  • Gap-Filling Method: Machine learning
  • Spatial Resolution: 1° × 1°
  • Depth Range: 0 - 2000 m (26 levels)
  • Temp. resolution: Monthly
  • Time Range: 2005 > 2022
  • Update Frequency: Not Updated
  • Ref. dataset(s): BGC-Argo
  • Ancillary dataset(s): Core Argo
  • File Format: NetCDF4, GeoTIFF

Product Links

  • Variables Scope:
  • Detailed Variables: O2
  • Area of coverage: Global Ocean
  • Spatial Resolution: 1° × 1°
G4D-DOC: The Global Ocean Dissolved Oxygen Concentration Gridded Dataset

G4D-DOC is a four-dimensional spatiotemporal product, derived from global Argo profiles and machine learning models. This dataset offers annual, seasonal, and monthly global ocean dissolved oxygen concentration information spanning the years from 2005 to 2022. It serves as a crucial data source for assessing global ocean ecological health, understanding global biogeochemical cycles, and conducting climate change research.

Authors Affiliation
Cunjin Xue
(Aerospace Information Research Institute, Chinese Academy of Sciences, China)
Zhenguo Wang
(Aerospace Information Research Institute, Chinese Academy of Sciences, China)
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.
  • International Research Center of Big Data for Sustainable Development Goals, National Natural Science Foundation of China

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