IMOS - SOOP Underway CO2 Measurements Research Group - Near real-time raw data

Created 23/06/2025

Updated 23/06/2025

The IMOS Ship of Opportunity Underway CO2 Measurements group is a research and data collection project working within the IMOS Ship of Opportunity Multi-Disciplinary Underway Network sub-facility. The CO2 group sample critical regions of the Southern Ocean and the Australian shelf waters have a major impact on CO2 uptake by the ocean. These are regions where biogeochemical cycling is predicted to be particularly sensitive to a changing climate. The data represented by this record are presented in real-time mode. The pCO2 Underway System measures variables such as mole fraction of CO2, sea surface salinity (SSS), and sea surface temperature (SST) using an automated system. The RV Aurora Australis provides data on surface ocean CO2 for the Southern Ocean, while the RV Investigator, covers shelf and offshore waters around Australia from the tropics to the sea-ice edge.

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Additional Info

Field Value
Title IMOS - SOOP Underway CO2 Measurements Research Group - Near real-time raw data
Language eng
Licence Not Specified
Landing Page https://data.gov.au/data/dataset/0ef3b3c3-891d-4ce8-b27f-a2d4aab24f01
Contact Point
Australian Ocean Data Network
info@aodn.org.au
Reference Period 05/12/2024
Geospatial Coverage
Map data © OpenStreetMap contributors
{
  "coordinates": [
    [
      [
        -180.0,
        -50.5
      ],
      [
        -168.0,
        -50.5
      ],
      [
        -168.0,
        -0.01
      ],
      [
        -180.0,
        -0.01
      ],
      [
        -180.0,
        -50.5
      ]
    ]
  ],
  "type": "Polygon"
}
Data Portal Australian Oceans Data Network

Data Source

This dataset was originally found on Australian Oceans Data Network "IMOS - SOOP Underway CO2 Measurements Research Group - Near real-time raw data". Please visit the source to access the original metadata of the dataset:
https://catalogue.aodn.org.au/geonetwork/srv/eng/csw/dataset/imos-soop-underway-co2-measurements-research-group-near-real-time-raw-data