Brief description
This dataset contains the input and output data for an extended optimum multiparameter analysis (eOMP). Input data for parameters are given (temperature, salinity, oxygen, nitrate, phosphate and silicate), as obtained from the cited CSIRO open access CTD bottle data for the 2018 SR3 occupation. Output parameters are the proportional contribution of 8 water masses that were defined in the eOMP analysis. The output remineralization estimate, Delta-O, is also given. All data are referenced to depth and geographical position (latitude, longitude) from corresponding CTD bottle data.The eOMP used here was configured following Pardo et al. (2017). Details on the equations, parameterization and end-members that characterize the regional oceanography can also be found in the Supplementary Materials of Traill et al. (2023), including the robustness of the OMP analysis and the uncertainties of both the SWTs’ contributions and the ΔO parameter (Sections S1.2 and S1.3, Table S1, Table S2, Table S3).
Lineage
Maintenance and Update Frequency: notPlanned
Statement: The eOMP was parameterized following Pardo et al. (2017) and references below are provided in the accompanying manuscript and supplement by Traill et al. (2023).
The eOMP was solved for the SWTs described in Table S1 and Delta-O value at each sample point using hydrographic and nutrient measurements described in section 2.2. The system was constrained to water mass mixing groups described in Table S2.
To estimate the relative proportion of SWTs at each sample point, the set of equations is solved via a non-negative weighted least squares method through each of the 11 SWTs (Table S1) according to mixing groups (Pardo et al., 2017). Mixing groups (Table S2) further limit the contribution of SWTs at each sampling point to a subset of SWTs, reducing the unknowns at each sample point and increasing the degrees of freedom. Mixing groups are arranged according to the possible mixing interfaces between SWTs with continuity maintained by connecting mixing groups through one or more shared SWT (Table S2). The arrangement of mixing groups and SWT parameterization is derived from previously described hydrography along the SR3 transect (Sokolov & Rintoul, 2000; Sloyan & Rintoul, 2001b; Sokolov & Rintoul, 2009; Herraiz-Borreguero & Rintoul, 2011; Pardo et al., 2017) and in section S1.3.
The SWTs’ conservative properties (θ and S) were defined based on the bibliography available (Table S1, Table S3). The values of the non-conservative variables of the SWTs (Table S3) were initially extrapolated from regression lines with θ and S (Poole & Tomczak, 1999) and then subjected to an iterative process inside the OMP in order to obtain the types that best fit the cruise data. In order to check the sensitivity of the model to variations in the environment and variations due to measurement errors (Leffanue & Tomczak, 2004), we’ve run a perturbation analysis of uncertainties (Lawson & Hanson, 1995). The uncertainties of the SWTs fractions and of ΔO shown in Table S3 are the mean standard deviation of 100 perturbation runs.
The eOMP was solved for the SWTs described in Table S1 and Delta-O value at each sample point using hydrographic and nutrient measurements described in section 2.2. The system was constrained to water mass mixing groups described in Table S2.
To estimate the relative proportion of SWTs at each sample point, the set of equations is solved via a non-negative weighted least squares method through each of the 11 SWTs (Table S1) according to mixing groups (Pardo et al., 2017). Mixing groups (Table S2) further limit the contribution of SWTs at each sampling point to a subset of SWTs, reducing the unknowns at each sample point and increasing the degrees of freedom. Mixing groups are arranged according to the possible mixing interfaces between SWTs with continuity maintained by connecting mixing groups through one or more shared SWT (Table S2). The arrangement of mixing groups and SWT parameterization is derived from previously described hydrography along the SR3 transect (Sokolov & Rintoul, 2000; Sloyan & Rintoul, 2001b; Sokolov & Rintoul, 2009; Herraiz-Borreguero & Rintoul, 2011; Pardo et al., 2017) and in section S1.3.
The SWTs’ conservative properties (θ and S) were defined based on the bibliography available (Table S1, Table S3). The values of the non-conservative variables of the SWTs (Table S3) were initially extrapolated from regression lines with θ and S (Poole & Tomczak, 1999) and then subjected to an iterative process inside the OMP in order to obtain the types that best fit the cruise data. In order to check the sensitivity of the model to variations in the environment and variations due to measurement errors (Leffanue & Tomczak, 2004), we’ve run a perturbation analysis of uncertainties (Lawson & Hanson, 1995). The uncertainties of the SWTs fractions and of ΔO shown in Table S3 are the mean standard deviation of 100 perturbation runs.
Issued: 23 10 2023
Data time period: 2021-11-21 to 2022-10-27
text: westlimit=135; southlimit=-67.00; eastlimit=150; northlimit=-43.00
text: uplimit=5000; downlimit=0
Subjects
Antarctic Bottom Water |
Antarctic Intermediate Water |
Antarctic Surface Water |
BIOGEOCHEMICAL CYCLES |
Bottom_Depth |
Chemical Oceanography |
Circumpolar Deep Water |
Concentration of nitrate {NO3} per unit mass of the water body |
Concentration of oxygen {O2} per unit mass of the water body |
Concentration of phosphate {PO4} per unit mass of the water body |
Concentration of silicate {SiO4} per unit mass of the water body |
DATA ANALYSIS AND VISUALIZATION |
Delta Oxygen |
EARTH SCIENCE |
EARTH SCIENCE SERVICES |
Earth Sciences |
Geology |
Global / Oceans | Global / Oceans | Southern Ocean |
High Salinity Shelf Water |
Marine Geoscience |
OCEAN CHEMISTRY |
Oceanography |
OCEANS |
Pacific and Indian old Deep Water |
Practical salinity of the water body |
Pressure (measured variable) in the water body exerted by overlying sea water only |
Subantarctic Mode Water |
Subtropical Central Water |
Temperature of the water body |
oceans |
potential temperature |
User Contributed Tags
Login to tag this record with meaningful keywords to make it easier to discover
Other Information
(DATA ACCESS - Optimum Multiparameter Analysis ST3 2023 [CSV])
Identifiers
- global : 77d8eeff-7b54-4f43-993e-daef26c08cab
