Data

Roach and Bindoff Global Temperature, Salinity and Oxygen Atlas (Shipboard Data 1955-2018) V1.0

Name: Roach and Bindoff Global Temperature, Salinity and Oxygen Atlas (Shipboard Data 1955-2018) V1.0
Published: 2023

Australian Ocean Data Network

Roach, Christopher ; Bindoff, Nathaniel

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=info:doi10.25959/HK4Q-B239&rft.title=Roach and Bindoff Global Temperature, Salinity and Oxygen Atlas (Shipboard Data 1955-2018) V1.0&rft.identifier=10.25959/HK4Q-B239&rft.description=This atlas uses all of the available full water column profiles of oxygen, salinity and temperature available as part of the World Ocean Atlas released in 2018. Instead of optimal interpolation we use the Data Interpolating Variational Analysis (DIVA) approach to map the available profiles onto 108 depth levels between the surface and 6800 m, covering more than 99% of ocean volume. This 1/2° x 1/2° degree atlas covers the period 1955 to 2018 in 1 year intervals. The DIVA method has significant benefits over traditional optimal interpolation. It allows the explicit inclusion of advection and boundary constraints thus offering improvements in the representations of oxygen, salinity and temperature in regions of strong flow and near coastal boundaries. We demonstrate these benefits of this mapping approach with some examples from this atlas. We can explore the regional and temporal variations of oxygen in the global oceans. Preliminary analyses confirm earlier analyses that the oxygen minimum zone in the eastern Pacific Ocean has expanded and intensified. Oxygen inventory changes between 1970 and 2010 are assessed and compared against prior studies. We find that the full ocean oxygen inventory decreased by 0.84% ± 0.42%. For this period temperature driven solubility changes explain about 21% of the oxygen decline over the full water column, in the upper 100 m solubility changes can explain all of the oxygen decrease, for the 100-600 m depth range it can explain only 29%, 19% between 600 m and 1000 m, and just 11% in the deep ocean.Maintenance and Update Frequency: annuallyStatement: We combine shipboard temperature, salinity and oxygen profiles sourced from the World Ocean Database 2018 with 40 year mean velocities from the CMCC Historical Ocean Reanalysis using Data Interpolating Variational Analysis. This methodology produces gridded tracer fields subject to: length scales of 500 km zonally and 250 km meridionally and a timescale of 2.5 years; boundary constraints (coastlines, bathymetery on a depth level) and advection constraints (the velocity fields, resulting in enhanced spread of correlation along flow paths and suppressed spread of correlation across dynamical barriers). This analysis was conducted on independently on 108 vertical layers. On each layer the analysis was conducted as a series of overlapping 11-year windows (due to compute constraints) with the center 5 years of each window retained and the 3 years at each end discarded due to boundary effects. See: Roach, C. J., and N. L. Bindoff, 2023: Developing a New Oxygen Atlas of the World’s Oceans Using Data Interpolating Variational Analysis. J. Atmos. Oceanic Technol., 40, 1475–1491, https://doi.org/10.1175/JTECH-D-23-0007.1.&rft.creator=Roach, Christopher &rft.creator=Bindoff, Nathaniel &rft.date=2023&rft.coverage=westlimit=-180; southlimit=-85.00; eastlimit=-180; northlimit=85.00&rft.coverage=westlimit=-180; southlimit=-85.00; eastlimit=-180; northlimit=85.00&rft.coverage=uplimit=6100; downlimit=0&rft.coverage=uplimit=6100; downlimit=0&rft_rights=Data, products and services from IMAS are provided as is without any warranty as to fitness for a particular purpose.&rft_rights=This dataset is the intellectual property of the University of Tasmania (UTAS) through the Institute for Marine and Antarctic Studies (IMAS).&rft_rights=&rft_rights= https://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=CC-BY&rft_rights=4.0&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=Cite data as: Roach, C., & Bindoff, N. (2023). Roach and Bindoff Global Temperature, Salinity and Oxygen Atlas (Shipboard Data 1955-2018) V1.0 [Data set]. Institute for Marine and Antarctic Studies (IMAS), University of Tasmania (UTAS). https://doi.org/10.25959/HK4Q-B239&rft_rights=Creative Commons Attribution 4.0 International License http://creativecommons.org/licenses/by/4.0&rft_subject=climatologyMeteorologyAtmosphere&rft_subject=oceans&rft_subject=climatology&rft_subject=atlas&rft_subject=OXYGEN&rft_subject=EARTH SCIENCE&rft_subject=OCEANS&rft_subject=OCEAN CHEMISTRY&rft_subject=OCEAN TEMPERATURE&rft_subject=SALINITY/DENSITY&rft_subject=ship&rft_subject=Concentration of oxygen {O2} per unit volume of the water body&rft_subject=Practical salinity of the water body&rft_subject=Temperature anomaly of the water body&rft_subject=Global / Oceans | Global / Oceans | World&rft.type=dataset&rft.language=English Access the data

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

This dataset is the intellectual property of the University of Tasmania (UTAS) through the Institute for Marine and Antarctic Studies (IMAS).

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Cite data as: Roach, C., & Bindoff, N. (2023). Roach and Bindoff Global Temperature, Salinity and Oxygen Atlas (Shipboard Data 1955-2018) V1.0 [Data set]. Institute for Marine and Antarctic Studies (IMAS), University of Tasmania (UTAS). https://doi.org/10.25959/HK4Q-B239

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Brief description

This atlas uses all of the available full water column profiles of oxygen, salinity and temperature available as part of the World Ocean Atlas released in 2018. Instead of optimal interpolation we use the Data Interpolating Variational Analysis (DIVA) approach to map the available profiles onto 108 depth levels between the surface and 6800 m, covering more than 99% of ocean volume. This 1/2° x 1/2° degree atlas covers the period 1955 to 2018 in 1 year intervals. The DIVA method has significant benefits over traditional optimal interpolation. It allows the explicit inclusion of advection and boundary constraints thus offering improvements in the representations of oxygen, salinity and temperature in regions of strong flow and near coastal boundaries. We demonstrate these benefits of this mapping approach with some examples from this atlas. We can explore the regional and temporal variations of oxygen in the global oceans. Preliminary analyses confirm earlier analyses that the oxygen minimum zone in the eastern Pacific Ocean has expanded and intensified. Oxygen inventory changes between 1970 and 2010 are assessed and compared against prior studies. We find that the full ocean oxygen inventory decreased by 0.84% ± 0.42%. For this period temperature driven solubility changes explain about 21% of the oxygen decline over the full water column, in the upper 100 m solubility changes can explain all of the oxygen decrease, for the 100-600 m depth range it can explain only 29%, 19% between 600 m and 1000 m, and just 11% in the deep ocean.

Lineage

Maintenance and Update Frequency: annually

Statement: We combine shipboard temperature, salinity and oxygen profiles sourced from the World Ocean Database 2018 with 40 year mean velocities from the CMCC Historical Ocean Reanalysis using Data Interpolating Variational Analysis. This methodology produces gridded tracer fields subject to: length scales of 500 km zonally and 250 km meridionally and a timescale of 2.5 years; boundary constraints (coastlines, bathymetery on a depth level) and advection constraints (the velocity fields, resulting in enhanced spread of correlation along flow paths and suppressed spread of correlation across dynamical barriers).

This analysis was conducted on independently on 108 vertical layers. On each layer the analysis was conducted as a series of overlapping 11-year windows (due to compute constraints) with the center 5 years of each window retained and the 3 years at each end discarded due to boundary effects.

See: Roach, C. J., and N. L. Bindoff, 2023: Developing a New Oxygen Atlas of the World’s Oceans Using Data Interpolating Variational Analysis. J. Atmos. Oceanic Technol., 40, 1475–1491, https://doi.org/10.1175/JTECH-D-23-0007.1.

Issued: 28 06 2023

Data time period: 1950-01-01

This dataset is part of a larger collection

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text: westlimit=-180; southlimit=-85.00; eastlimit=-180; northlimit=85.00

text: uplimit=6100; downlimit=0

Subjects

Concentration of oxygen {O2} per unit volume of the water body | EARTH SCIENCE | Global / Oceans | Global / Oceans | World | OCEAN CHEMISTRY | OCEAN TEMPERATURE | OCEANS | OXYGEN | Practical salinity of the water body | SALINITY/DENSITY | Temperature anomaly of the water body | atlas | climatology | climatologyMeteorologyAtmosphere | oceans | ship |

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(DATA ACCESS - direct download all Oxygen Atlas data [.zip 14.5 GB])

uri : https://data.imas.utas.edu.au/attachments/aef9f21a-c60f-46c0-84a0-76fe541180fa/oxygen_atlas.zip External Link

Identifiers

DOI : 10.25959/HK4Q-B239
global : aef9f21a-c60f-46c0-84a0-76fe541180fa

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