Articles | Volume 14, issue 5
https://doi.org/10.5194/os-14-1127-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/os-14-1127-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| Highlight paper
| 
27 Sep 2018
Research article | Highlight paper |
| 27 Sep 2018
| 27 Sep 2018
World Ocean Circulation Experiment – Argo Global Hydrographic Climatology
Viktor Gouretski
CORRESPONDING AUTHOR
Integrated Climate Data Center, Center for Earth System Research and Sustainability, The University of Hamburg, Grindelberg 5, 20144 Hamburg, Germany
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43 citations as recorded by crossref.
- International Quality-Controlled Ocean Database (IQuOD) v0.1: The Temperature Uncertainty Specification R. Cowley et al. https://doi.org/10.3389/fmars.2021.689695
- Data Quality Control Method of a New Drifting Observation Technology Named Drifting Air-Sea Interface Buoy S. Li et al. https://doi.org/10.1007/s11802-024-5426-2
- A Wind Data Quality Control Algorithm Utilizing Deep Learning-Based Association Test Rules R. Ma et al. https://doi.org/10.3390/jmse14161453
- The essential observations for reconstructing full-depth tidal currents Y. Wang et al. https://doi.org/10.3389/fmars.2022.959014
- A consistent ocean oxygen profile dataset with new quality control and bias assessment V. Gouretski et al. https://doi.org/10.5194/essd-16-5503-2024
- A machine learning approach to quality-control Argo temperature data Q. Zhang et al. https://doi.org/10.1016/j.aosl.2022.100292
- CODC-v1: a quality-controlled and bias-corrected ocean temperature profile database from 1940–2023 B. Zhang et al. https://doi.org/10.1038/s41597-024-03494-8
- A Closure for Lee Wave Drag on the Large-Scale Ocean Circulation https://doi.org/10.1175/JPO-D-20-0230.1
- High‐Resolution Gridded Temperature and Salinity Fields From Argo Floats Based on a Spatiotemporal Four‐Dimensional Multigrid Analysis Method G. Zhou et al. https://doi.org/10.1029/2022JC019386
- Developing big ocean system in support of Sustainable Development Goals: challenges and countermeasures B. Zhang et al. https://doi.org/10.1080/20964471.2021.1965371
- Stratification Has Strengthened in the Baltic Sea – An Analysis of 35 Years of Observational Data T. Liblik & U. Lips https://doi.org/10.3389/feart.2019.00174
- Driving mechanisms of the variability and long-term trend of the Brazil–Malvinas confluence during the 21st century M. de Souza et al. https://doi.org/10.1007/s00382-019-04942-7
- The CORA 5.2 dataset for global in situ temperature and salinity measurements: data description and validation T. Szekely et al. https://doi.org/10.5194/os-15-1601-2019
- An Arctic Ocean Thermohaline Dataset J. Li et al. https://doi.org/10.1038/s41597-025-05855-3
- Seasonal extrema of sea surface temperature in CMIP6 models Y. Wang et al. https://doi.org/10.5194/os-18-839-2022
- Benchmarking of automatic quality control checks for ocean temperature profiles and recommendations for optimal sets S. Good et al. https://doi.org/10.3389/fmars.2022.1075510
- Development of High-Resolution Regional Climatology in the East/Japan Sea With a Primary Focus on Meridional Temperature Gradient Correction J. Lee & Y. Chang https://doi.org/10.3389/feart.2021.680881
- A new global ocean hydrographic climatology V. GOURETSKI https://doi.org/10.1080/16742834.2019.1588066
- CODC-S: A quality-controlled global ocean salinity profiles dataset Z. Tan et al. https://doi.org/10.1038/s41597-025-05172-9
- Improved Statistical Method for Quality Control of Hydrographic Observations J. Gourrion et al. https://doi.org/10.1175/JTECH-D-18-0244.1
- Antarctic Slope Current Modulates Ocean Heat Intrusions Towards Totten Glacier Y. Nakayama et al. https://doi.org/10.1029/2021GL094149
- Daily Subsurface Ocean Temperature Climatology Using Multiple Data Sources: New Methodology M. Hemming et al. https://doi.org/10.3389/fmars.2020.00485
- Atmospheric Nitrogen Deposition Increases the Possibility of Macroalgal Dominance on Remote Coral Reefs X. Chen et al. https://doi.org/10.1029/2019JG005074
- Climatological Atlas of Temperature and Salinity for the Northeast Asian Seas Y. Kim et al. https://doi.org/10.1038/s41597-025-04543-6
- The Global Ocean Ship-Based Hydrographic Investigations Program (GO-SHIP): A Platform for Integrated Multidisciplinary Ocean Science B. Sloyan et al. https://doi.org/10.3389/fmars.2019.00445
- Measuring Global Ocean Heat Content to Estimate the Earth Energy Imbalance B. Meyssignac et al. https://doi.org/10.3389/fmars.2019.00432
- Hierarchical Bayesian modeling of ocean heat content and its uncertainty S. Baugh & K. McKinnon https://doi.org/10.1214/22-AOAS1605
- Global Estimation of the Eddy Kinetic Energy Dissipation From a Diagnostic Energy Balance R. Torres et al. https://doi.org/10.1029/2023GL104688
- A New Global Ocean Climatology K. Shahzadi et al. https://doi.org/10.3389/fenvs.2021.711363
- Argo Buoy Trajectory Prediction: Multi-Scale Ocean Driving Factors and Time–Space Attention Mechanism P. Ning et al. https://doi.org/10.3390/jmse12020323
- Climatic reach of small-scale turbulence in the ocean interior L. Cimoli et al. https://doi.org/10.1038/s41467-026-73809-3
- Near real time processing of underway salinity data from ships of opportunity G. Alory et al. https://doi.org/10.1080/1755876X.2025.2541460
- Reconstruction and evaluation of the full-depth sound speed profile with world ocean atlas 2018 for the hydrographic surveying in the deep sea waters C. Huang et al. https://doi.org/10.1016/j.apor.2020.102201
- On the Role of the Antarctic Slope Front on the Occurrence of the Weddell Sea Polynya under Climate Change J. Lockwood et al. https://doi.org/10.1175/JCLI-D-20-0069.1
- A new approach to inferring the threshold range for quality control of ocean T/S profiles based on probability distribution of historical data L. Conghao et al. https://doi.org/10.1007/s13131-025-2504-2
- Antarctic offshore polynyas linked to Southern Hemisphere climate anomalies E. Campbell et al. https://doi.org/10.1038/s41586-019-1294-0
- The Baltic and North Seas Climatology (BNSC)—A Comprehensive, Observation-Based Data Product of Atmospheric and Hydrographic Parameters I. Hinrichs et al. https://doi.org/10.3389/feart.2019.00158
- Correction for Systematic Errors in the Global Dataset of Temperature Profiles from Mechanical Bathythermographs V. Gouretski & L. Cheng https://doi.org/10.1175/JTECH-D-19-0205.1
- Quality control for ocean observations: From present to future Z. Tan et al. https://doi.org/10.1007/s11430-021-9846-7
- Research on outlier detection in CTD conductivity data based on cubic spline fitting L. Yu et al. https://doi.org/10.3389/fmars.2022.1030980
- A new automatic quality control system for ocean profile observations and impact on ocean warming estimate Z. Tan et al. https://doi.org/10.1016/j.dsr.2022.103961
- A novel quality control method of time-series ocean wave observation data combining deep-learning prediction and statistical analysis J. Xie et al. https://doi.org/10.1016/j.seares.2023.102439
- Twenty-first century thermohaline trends and abrupt shifts in the Ionian Sea E. Terzić & I. Vilibić https://doi.org/10.3389/fmars.2025.1718186
Saved (final revised paper)
Latest update: 13 Aug 2026
Short summary
The new gridded WOCE-Argo Global Hydrographic Climatology (WAGHC) is described and compared with the NOAA WOA13 atlas. The monthly fields of temperature and salinity for 65 depth levels have a 1/4° spatial resolution. Two versions of the climatology were produced and differ with respect to the spatial interpolation performed on isobaric or isopycnal surfaces, respectively. The climatology characterizes the thermohaline state of the world ocean for the time period from 2008 to 2012.
The new gridded WOCE-Argo Global Hydrographic Climatology (WAGHC) is described and compared with...
