Published November 17, 2023 | Version v5

G4D-DOC: A global four-dimensional gridded dataset of ocean dissolved oxygen concentrations retrieval from Argo profiles

  • 1. ROR icon University of Chinese Academy of Sciences

Description

Based on temperature and salinity observations from Argo floats, this dataset uses machine-learning methods to reconstruct global ocean dissolved oxygen (DO) concentrations.
This version only provides monthly-scale netCDF format data for everyone's use. If you need other time scales, please check previous versions.

Spatiotemporal Characteristics

  • Time range: 2005–2022, monthly fields.

  • Geographic range: Global oceans excluding the Arctic Ocean, from 90°S to 84°N and 180°W to 180°E.

  • Horizontal resolution: 1° × 1° (regular grid).

  • Vertical levels (26): 10, 20, 30, 40, 50, 75, 100, 125, 150, 200, 250, 300, 400, 500, 600, 700, 800, 900, 1000, 1100, 1200, 1300, 1400, 1500, 1750, 1995dbar .

Data Format & Conventions

  • Format: NetCDF4

  • Coordinate conventions:

    • lat (Y axis): 89.5 → −89.5 (descending)

    • lon (X axis): converted to −180 → 180 (1° centers)

    • depth: ascending (matching the 26 target levels)

  • Units: DO in μmol/kg (umol kg-1).

Variables & Dimensions

  • Variables kept: DO, depth, lat, lon (with a single-valued time coordinate).

  • DO dimensions: (time, depth, lat, lon).

Filenames

  • Pattern: G4D_DOC_YYYY_MM.nc
    Example: G4D_DOC_2005_07.nc contains the field for July 2005.

Citation & Disclaimer

Please cite the dataset and relevant literature when using it in publications or products.
Recommended citation (example):

Xue, C., & Wang, Z. (2025). A global four-dimensional gridded dataset of ocean dissolved oxygen concentrations retrieval from Argo profiles (Monthly NetCDF version). Zenodo. https://doi.org/10.5281/zenodo.13920233

The data producers are not responsible for any losses arising from data use. Map boundaries or masks do not imply official positions.

Contacts

Files

G4D-DOC2005_2022.zip

Files (565.9 MB)

Name Size
md5:e2fcd89aceb0a142e505675c1fb29a9f
565.9 MB Preview Download

Additional details

Related works

Is cited by
Journal article: 10.3390/rs16020228 (DOI)
Is new version of
Dataset: 10.5281/zenodo.10579959 (DOI)

Dates

Updated
2024-10-13
Normalize

References

  • Wang, Z.; Xue, C.; Ping, B. A Reconstructing Model Based on Time–Space–Depth Partitioning for Global Ocean Dissolved Oxygen Concentration. Remote Sens. 2024, 16, 228. https://doi.org/10.3390/rs16020228
  • Xue C, Wang Z, Yue L, et al. A global four‐dimensional gridded dataset of ocean dissolved oxygen concentration retrieval from Argo profiles[J]. Geoscience Data Journal.