Data

IMOS - Deep Water Moorings - CSIRO gridded time-series product

Name: IMOS - Deep Water Moorings - CSIRO gridded time-series product
Published: 2022

Australian Ocean Data Network

Sloyan, Bernadette ; Cowley, Rebecca ; Chapman, Chris

Viewed: [[ro.stat.viewed]] Cited: [[ro.stat.cited]] Accessed: [[ro.stat.accessed]]

ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=https://catalogue-imos.aodn.org.au/geonetwork/srv/api/records/ac6968f1-a551-42b7-aad5-91f58a18963b&rft.title=IMOS - Deep Water Moorings - CSIRO gridded time-series product&rft.identifier=https://catalogue-imos.aodn.org.au/geonetwork/srv/api/records/ac6968f1-a551-42b7-aad5-91f58a18963b&rft.description=The Deep Water Moorings facility (formerly known as the Australian Bluewater Observing System) provides the coordination of national efforts in the sustained observation of open ocean properties with particular emphasis on observations important to climate studies. This collection has both hourly- and daily depth-gridded products with currents, temperature and salinity (one file per mooring). The products are created from individual instrument files collected during six 18-month deployments in the East Australian Current (EAC) off Brisbane, Australia. The collection also includes a product for the National Mooring Network's North Stradbroke Island site, and the products at EAC0500 (500m mooring) also include data from the South East Queensland (SEQ) 400m coastal mooring. The data can be used for time series analysis of individual moorings in the EAC deployments. The observations were made using a range of temperature loggers, conductivity-temperature-depth (CTD) instruments and acoustic Doppler current profilers (ADCPs). The data has been interpolated to one-hourly intervals (hourly product) and daily intervals (daily product), and to a fixed set of target depths (both products) for each IMOS EAC mooring site. Only good-quality measurements (after application of quality control flags using the IMOS toolbox and as described in the quality control reports for each deployment) are included. This product is independent of the IMOS - Moorings - Gridded time-series product (https://catalogue-imos.aodn.org.au:443/geonetwork/srv/api/records/279a50e3-21a5-4590-85a0-71f963efab82), which is produced from binned data (in time), and utilises all temperature records including ADCP temperatures. The CSIRO gridded product uses only high quality temperature from the Seabird and temperature logger instruments. In addition, where current observations overlap in depth, the data is selected based on a set of criteria as specified in the product documentation.Maintenance and Update Frequency: continualStatement: Hourly product These gridded products are created from IMOS FV01 individual moorings instrument files collected on the East Australian Current (EAC) moorings (6 moorings). Period of data collection is over 6 deployments from 2012-2022 (with the exception of approximately 2-year gap from 2013-2015 where no moorings were in place). The products at EAC0500 (500m mooring) also include data from the Australian National Mooring Network (ANMN), South East Queensland (SEQ) 400m coastal mooring. We have also created a product for the ANMN North Stradbroke Island (NSI) mooring which supports the EAC Deep Water Mooring array. Individual instrument files are screened to remove data flagged as 'bad' (flags 3 & 4). Temperature, salinity and velocity data is put onto a common time grid (hourly) and common depth grid (10m to 400m and 20m from 400m to bottom) using a linear interpolation, for each deployment. Deployments are concatenated together to give one time-continuous dataset for each mooring site. Periods where an instrument fails or data is missing is filled with missing values, and the final variables are TEMP, UCUR, VCUR and PSAL.Statement: Daily product These gridded products are created from IMOS FV01 individual moorings instrument files collected on the East Australian Current (EAC) moorings (6 moorings). Period of data collection is over 6 deployments from 2012-2022 (with the exception of approximately 2-year gap from 2013-2015 where no moorings were in place). The products at EAC0500 (500m mooring) also include data from the Australian National Mooring Network (ANMN), South East Queensland (SEQ) 400m coastal mooring. We have also created a product for the ANMN North Stradbroke Island (NSI) mooring which supports the EAC Deep Water Mooring array. Individual instrument files are screened to remove data flagged as 'bad' (flags 3 & 4). Temperature, salinity and velocity data is put onto a common time grid (daily) and common depth grid (10m to 400m and 20m from 400m to bottom) using a linear interpolation, for each deployment. Deployments are concatenated together to give one time-continuous dataset for each mooring site. Periods where an instrument fails or data is missing is filled with missing values, and the final variables are TEMP, UCUR, VCUR and PSAL. Additional variables in the file are the '*_FILLED' variables (eg, 'TEMP_FILLED'), and these are created using a SOM (Self Organising Maps) neural network machine learning algorithm to fill the missing periods of data. The method is fully described in the data paper in the link section.&rft.creator=Sloyan, Bernadette &rft.creator=Cowley, Rebecca &rft.creator=Chapman, Chris &rft.date=2022&rft.coverage=153,-28 153,-27 156,-27 156,-28 153,-28&rft_rights=Data, products and services from IMOS are provided as is without any warranty as to fitness for a particular purpose.&rft_rights=&rft_rights= http://creativecommons.org/licenses/by/4.0/&rft_rights=https://licensebuttons.net/l/by/4.0/88x31.png&rft_rights=WWW:LINK-1.0-http--related&rft_rights=License Graphic&rft_rights=Creative Commons Attribution 4.0 International License&rft_rights=http://creativecommons.org/international/&rft_rights=WWW:LINK-1.0-http--related&rft_rights=WWW:LINK-1.0-http--related&rft_rights=License Text&rft_rights=The citation in a list of references is: Sloyan, Bernadette; Cowley, Rebecca; Chapman, Chris. IMOS - Deep Water Moorings - CSIRO gridded time-series product, [data-access-URL], accessed [date-of-access].&rft_rights=Please also cite, current CSIRO reference as listed at 'citation' in accessed NetCDF files.&rft_rights=Please also cite the associated data paper when using this data: Sloyan, B. M., C. C. Chapman, R. Cowley, and A. A. Charantonis, 2023: Application of Machine Learning Techniques to Ocean Mooring Time Series Data. J. Atmos. Oceanic Technol., 40, 241?260, https://doi.org/10.1175/JTECH-D-21-0183.1.&rft_rights=Any users of IMOS data are required to clearly acknowledge the source of the material derived from IMOS in the format: Data was sourced from Australia's Integrated Marine Observing System (IMOS). IMOS is enabled by the National Collaborative Research Infrastructure strategy (NCRIS).&rft_rights=Creative Commons Attribution 4.0 International License http://creativecommons.org/licenses/by/4.0&rft_subject=oceans&rft_subject=climatologyMeteorologyAtmosphere&rft_subject=Buoys | Moored Buoys&rft_subject=CTD (Conductivity-Temperature-Depth Profilers)&rft_subject=Current Meters/Profilers | Acoustic Doppler Current Profiler (ADCP)&rft_subject=Thermometers&rft_subject=Slope Mooring&rft_subject=Shelf Mooring&rft_subject=Global / Oceans | Indian Ocean&rft_subject=Marine Features (Australia) | Indonesian Throughflow&rft_subject=Regional Seas | Tasman Sea&rft_subject=Global / Oceans | Pacific Ocean&rft_subject=Global / Oceans | Southern Ocean&rft_subject=Regional Seas | Timor Sea&rft_subject=States, Territories (Australia) | Northern Territory&rft_subject=States, Territories (Australia) | Tasmania&rft_subject=Countries | Timor-Leste&rft_subject=Countries | Australia&rft_subject=States, Territories (Australia) | Queensland&rft_subject=Marine Features (Australia) | Great Barrier Reef, QLD&rft_subject=States, Territories (Australia) | Western Australia&rft_subject=mooring&rft_subject=Northward current velocity in the water body&rft_subject=Eastward current velocity in the water body&rft_subject=Temperature of the water body&rft_subject=Practical salinity of the water body&rft_subject=Deep Water Arrays Sub-Facility, Integrated Marine Observing System (IMOS)&rft_subject=National Reference Stations Sub-Facility, Integrated Marine Observing System (IMOS)&rft_subject=Queensland and Northern Australia Moorings Sub-Facility, Integrated Marine Observing System (IMOS)&rft_subject=water temperature sensor&rft_subject=current profilers&rft_subject=CTD&rft_subject=OCEAN TEMPERATURE&rft_subject=SALINITY&rft_subject=WATER DEPTH&rft_subject=OCEAN CURRENTS&rft.type=dataset&rft.language=English Access the data

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Data, products and services from IMOS are provided "as is" without any warranty as to fitness for a particular purpose.

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License Text

The citation in a list of references is: "Sloyan, Bernadette; Cowley, Rebecca; Chapman, Chris. IMOS - Deep Water Moorings - CSIRO gridded time-series product, [data-access-URL], accessed [date-of-access]."

Please also cite, current CSIRO reference as listed at 'citation' in accessed NetCDF files.

Please also cite the associated data paper when using this data: Sloyan, B. M., C. C. Chapman, R. Cowley, and A. A. Charantonis, 2023: Application of Machine Learning Techniques to Ocean Mooring Time Series Data. J. Atmos. Oceanic Technol., 40, 241?260, https://doi.org/10.1175/JTECH-D-21-0183.1.

Any users of IMOS data are required to clearly acknowledge the source of the material derived from IMOS in the format: "Data was sourced from Australia's Integrated Marine Observing System (IMOS). IMOS is enabled by the National Collaborative Research Infrastructure strategy (NCRIS)."

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Brief description

The Deep Water Moorings facility (formerly known as the Australian Bluewater Observing System) provides the coordination of national efforts in the sustained observation of open ocean properties with particular emphasis on observations important to climate studies. This collection has both hourly- and daily depth-gridded products with currents, temperature and salinity (one file per mooring). The products are created from individual instrument files collected during six 18-month deployments in the East Australian Current (EAC) off Brisbane, Australia. The collection also includes a product for the National Mooring Network's North Stradbroke Island site, and the products at EAC0500 (500m mooring) also include data from the South East Queensland (SEQ) 400m coastal mooring. The data can be used for time series analysis of individual moorings in the EAC deployments. The observations were made using a range of temperature loggers, conductivity-temperature-depth (CTD) instruments and acoustic Doppler current profilers (ADCPs). The data has been interpolated to one-hourly intervals (hourly product) and daily intervals (daily product), and to a fixed set of target depths (both products) for each IMOS EAC mooring site. Only good-quality measurements (after application of quality control flags using the IMOS toolbox and as described in the quality control reports for each deployment) are included. This product is independent of the IMOS - Moorings - Gridded time-series product (https://catalogue-imos.aodn.org.au:443/geonetwork/srv/api/records/279a50e3-21a5-4590-85a0-71f963efab82), which is produced from binned data (in time), and utilises all temperature records including ADCP temperatures. The CSIRO gridded product uses only high quality temperature from the Seabird and temperature logger instruments. In addition, where current observations overlap in depth, the data is selected based on a set of criteria as specified in the product documentation.

Lineage

Maintenance and Update Frequency: continual

Statement: Hourly product These gridded products are created from IMOS FV01 individual moorings instrument files collected on the East Australian Current (EAC) moorings (6 moorings). Period of data collection is over 6 deployments from 2012-2022 (with the exception of approximately 2-year gap from 2013-2015 where no moorings were in place). The products at EAC0500 (500m mooring) also include data from the Australian National Mooring Network (ANMN), South East Queensland (SEQ) 400m coastal mooring. We have also created a product for the ANMN North Stradbroke Island (NSI) mooring which supports the EAC Deep Water Mooring array. Individual instrument files are screened to remove data flagged as 'bad' (flags 3 & 4). Temperature, salinity and velocity data is put onto a common time grid (hourly) and common depth grid (10m to 400m and 20m from 400m to bottom) using a linear interpolation, for each deployment. Deployments are concatenated together to give one time-continuous dataset for each mooring site. Periods where an instrument fails or data is missing is filled with missing values, and the final variables are TEMP, UCUR, VCUR and PSAL.

Statement: Daily product These gridded products are created from IMOS FV01 individual moorings instrument files collected on the East Australian Current (EAC) moorings (6 moorings). Period of data collection is over 6 deployments from 2012-2022 (with the exception of approximately 2-year gap from 2013-2015 where no moorings were in place). The products at EAC0500 (500m mooring) also include data from the Australian National Mooring Network (ANMN), South East Queensland (SEQ) 400m coastal mooring. We have also created a product for the ANMN North Stradbroke Island (NSI) mooring which supports the EAC Deep Water Mooring array. Individual instrument files are screened to remove data flagged as 'bad' (flags 3 & 4). Temperature, salinity and velocity data is put onto a common time grid (daily) and common depth grid (10m to 400m and 20m from 400m to bottom) using a linear interpolation, for each deployment. Deployments are concatenated together to give one time-continuous dataset for each mooring site. Periods where an instrument fails or data is missing is filled with missing values, and the final variables are TEMP, UCUR, VCUR and PSAL. Additional variables in the file are the '*_FILLED' variables (eg, 'TEMP_FILLED'), and these are created using a SOM (Self Organising Maps) neural network machine learning algorithm to fill the missing periods of data. The method is fully described in the data paper in the link section.

Notes

Credit
Australia's Integrated Marine Observing System (IMOS) is enabled by the National Collaborative Research Infrastructure Strategy (NCRIS). It is operated by a consortium of institutions as an unincorporated joint venture, with the University of Tasmania as Lead Agent.

Credit
Commonwealth Scientific and Industrial Research Organisation (CSIRO)

Credit
Marine National Facility (MNF)

Credit
National Environmental Science Program (NESP)

Created: 02 05 2022

Data time period: 2012-04-01

This dataset is part of a larger collection

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Other Information

(Deep Water Moorings Facility page on IMOS website)

uri : http://imos.org.au/facilities/deepwatermoorings/ External Link

(Source code to create gridded per mooring product)

uri : https://github.com/BecCowley/IMOSMooringGridding External Link

Procedure to produce gridded individual moorings products (MooringsGriddingProcedure_2023v3.pdf)

uri : https://catalogue-imos.aodn.org.au/geonetwork/srv/api/records/ac6968f1-a551-42b7-aad5-91f58a18963b/attachments/MooringsGriddingProcedure_2023v3.pdf External Link

('Data' paper: Application of Machine Learning Techniques to Ocean Mooring Time-Series Data)

doi : https://doi.org/10.1175/JTECH-D-21-0183.1 DOI Link

global : 840c78d6-61b1-4b4e-bceb-dda093737200

Identifiers

global : ac6968f1-a551-42b7-aad5-91f58a18963b

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