G4D-DOC: A global four-dimensional gridded dataset of ocean dissolved oxygen concentrations retrieval from Argo profiles
Authors/Creators
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
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Time range: 2005–2022, monthly fields.
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Geographic range: Global oceans excluding the Arctic Ocean, from 90°S to 84°N and 180°W to 180°E.
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Horizontal resolution: 1° × 1° (regular grid).
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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
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Format: NetCDF4
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Coordinate conventions:
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lat(Y axis): 89.5 → −89.5 (descending) -
lon(X axis): converted to −180 → 180 (1° centers) -
depth: ascending (matching the 26 target levels)
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Units: DO in μmol/kg (
umol kg-1).
Variables & Dimensions
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Variables kept:
DO,depth,lat,lon(with a single-valuedtimecoordinate). -
DO dimensions:
(time, depth, lat, lon).
Filenames
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Pattern:
G4D_DOC_YYYY_MM.nc
Example:G4D_DOC_2005_07.nccontains 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
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Cunjin Xue — xuecj@aircas.ac.cn
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Zhenguo Wang — zgwang24@m.fudan.edu.cn
Files
G4D-DOC2005_2022.zip
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
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2024-10-13Normalize
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.