Yongala Dissolved Oxygen From 01 Nov 2010 To 30 Aug 2014

Temporal Range: From 01-Nov-2010 To 30-Aug-2014

Resource Summary

'Australian National Moorings Network' (ANMN) is a facility of the Australian 'Integrated Marine Observing System' (IMOS) project. This data set was collected by the ANMN sub-facility 'National Reference Systems' (NRS).

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Cite this Record
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Australian Institute of Marine Science (AIMS). (2020), Yongala Dissolved Oxygen From 01 Nov 2010 To 30 Aug 2014, https://doi.org/10.25845/5c09bf93f315d, accessed 29-Feb-2020.
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Parent Record
Yongala Mooring (NRSYON) Automated Marine Weather And Oceanographic Station
Additional Information
DOI10.25845/5c09bf93f315d
Update FrequencyAs Needed
Collection StatusOn Going
Sampling FrequencyHourly
Point of Contact
Steinberg, Craig R, Mr
Australian Institute of Marine Science (AIMS)
Source CatalogueNational Reference Stations
Credits
  • Australian Institute of Marine Science (AIMS)
  • Integrated Marine Observing System (IMOS). IMOS is a national collaborative research infrastructure, supported by the Australian Government.
  • Queensland State Government
Parameters
  • Concentration of oxygen {O2} per unit volume of the water body
Lineage

National Reference Stations: A mooring has been deployed with sensors for conductivity, temperature, depth, dissolved oxygen, photosynthetically active radiation (PAR), fluorescence and measurement of turbidity at two depths - near surface and near sea bed. At the seafloor, an Acoustic Doppler Current Profiler (ADCP) has been deployed. Reference stations telemeter a reduced data set via Iridium satellite or nextG for real time monitoring. Physical sampling is undertaken at each of the reference stations on a monthly or quarterly basis. The physical samples are analysed for nutrients, plankton species, both visibly and genetically, and pCO2. Biological sampling will greatly improve Australia's capability to meet its obligations for ecosystem based management and allow many researchers the opportunity to investigate possible long term changes in ecology that are likely to be linked to climate variability and wide scale validation of remotely sensed (satellite) observations of plant biomass.