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OceanSODA-ETHZ: A global gridded dataset of the surface ocean carbonate system for seasonal to decadal studies of ocean acidification (v2023) (NCEI Accession 0220059)


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            title:  OceanSODA-ETHZ: A global gridded dataset of the surface ocean carbonate system for seasonal to decadal studies of ocean acidification (v2023) (NCEI Accession 0220059)
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                date:  2020-09-28
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                date:  2023-06-28
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                  Anchor:  DOI 10.25921/m5wx-ja34
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                  Anchor:  https://www.ncei.noaa.gov/archive/archive-management-system/OAS/bin/prd/jquery/person/details/5307 Luke Gregor
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                  Anchor:  https://www.ncei.noaa.gov/archive/archive-management-system/OAS/bin/prd/jquery/institution/details/1888 ETH Zurich
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        abstract:  This dataset contains a global gridded dataset of the surface ocean carbonate system for seasonal to decadal studies of ocean acidification (v2023). The full marine carbonate system is calculated from machine learning estimates of Total Alkalinity (TA) and the fugacity of carbon dioxide (fCO2). The surface-ocean fCO2 presented here is the ensemble mean of 16 two-step clustering-regression machine learning estimates. The ensemble is a combination of eight clustering instances and two regression methods. For the clustering, we use K-means clustering (21 clusters) repeated with different initiations, resulting in slightly different clusters. Two machine learning regression methods are applied to each of these clustering instances. These machine learning methods are feed-forward neural-network (FFNN), and gradient boosted machine using decision trees (GBDT). The average of the ensemble members is used as the final estimate. Further, the standard deviation of the ensemble members is an analog of the uncertainty. The same two-step clustering-regression approach is used to estimate TA. The final estimate is the mean of 16 ensemble members. Eight of the ensemble members estimate standard TA while the other half estimate salinity normalized TA (S0 ≈ 34.0). Each ensemble member has 12 clusters. Support vector regression (SVR) is used as the regression method. Again, the standard deviation of the ensemble members is an analog of the uncertainty. Total alkalinity and pCO2 are then used to solve for the remaining parameters of the marine carbonate system using the PyCO2SYS software. The temperature and salinity products used in this calculation are provided in the file. Phosphate and silicate from the interpolated World Ocean Atlas (2018) product were used. We use the following total scale for pH. The product extends from the start of 1982 to the end of 2022.
        purpose:  This dataset is available to the public for a wide variety of uses including scientific research and analysis.
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                    date:  2020-09-21
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              Anchor:  https://www.ncei.noaa.gov/archive/archive-management-system/OAS/bin/prd/jquery/datatype/details/621 CARBON - BICARBONATE
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                            description:  Global Change Master Directory (GCMD). 2023. GCMD Keywords, Version 18. Greenbelt, MD: Earth Science Data and Information System, Earth Science Projects Division, Goddard Space Flight Center (GSFC), National Aeronautics and Space Administration (NASA). URL (GCMD Keyword Forum Page): https://forum.earthdata.nasa.gov/app.php/tag/GCMD+Keywords
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              Anchor:  https://gcmd.earthdata.nasa.gov/kms/concept/3d4e44c4-5d99-4a9b-8388-43c63533ee97 GEOGRAPHIC REGION > GLOBAL OCEAN
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            keyword:  Arctic Ocean
            keyword:  Atlantic Ocean
            keyword:  Indian Ocean
            keyword:  Pacific Ocean
            keyword:  Southern Ocean
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                title:  Gregor, L. and Gruber, N.: OceanSODA-ETHZ: a global gridded data set of the surface ocean carbonate system for seasonal to decadal studies of ocean acidification, Earth Syst. Sci. Data, 13, 777-808, https://doi.org/10.5194/essd-13-777-2021, 2021.
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                title:  Mogen, Samuel C.; Lovenduski, Nicole S.; Dallmann, Allysa R.; Gregor, Luke; Sutton, Adrienne J.; Bograd, Steven J.; Quiros, Nathali Cordero; Di Lorenzo, Emanuele; Hazen, Elliott L.; Jacox, Michael G.; Buil, Mercedes Pozo; Yeager, Stephen. Ocean Biogeochemical Signatures of the North Pacific Blob; Geophysical Research Letters. PMEL Contribution no. 5316. 2022. https://doi.org/10.1029/2021gl096938
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                title:  OceanSODA-ETHZ: A global gridded data set of the surface ocean carbonate system for seasonal to decadal studies of ocean acidification
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                      Anchor:  https://www.ncei.noaa.gov/archive/archive-management-system/OAS/bin/prd/jquery/institution/details/1730 US DOC; NOAA; NESDIS; National Centers for Environmental Information (NCEI)
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                    endPosition:  2022-12-31
        supplementalInformation:  In this accession, NCEI has archived multiple versions of these data. The latest (and best) version of these data has the largest version number.
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                fees:  In most cases, electronic downloads of the data are free. However, fees may apply for custom orders, data certifications, copies of analog materials, and data distribution on physical media.
                orderingInstructions:  Contact NCEI for other distribution options and instructions.
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                description:  NCEI Accession 0220059 v1.1 was published.
                dateTime:
                  DateTime:  2020-09-28T19:11:00Z
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                description:  NCEI Accession 0220059 was revised and v2.2 was published.
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                  DateTime:  2020-11-02T19:03:15Z
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                description:  NCEI Accession 0220059 was revised and v3.3 was published.
                rationale:  Updates were received for this dataset. These updates were copied into the data/0-data/ directory of this accession. These updates may provide additional files or replace obsolete files. This version contains the most complete and up-to-date representation of this archival information package. All of the files received prior to this update are available in the preceding version of this accession.
                dateTime:
                  DateTime:  2021-09-15T23:38:07Z
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                description:  NCEI Accession 0220059 was revised and v4.4 was published.
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                  DateTime:  2023-06-01T22:31:18Z
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                            contactInfo:  (CI_Contact)
                                onlineResource:  (CI_OnlineResource)
                                    linkage: https://www.ncei.noaa.gov/archive/accession/0220059/4.4
                                    protocol:  HTTPS
                                    name:  NCEI Accession 0220059 v4.4
                                    description:  published 2023-06-01T22:31:18Z
                                    function:  (CI_OnLineFunctionCode) download
                            role: (inapplicable)
            processStep:  (LE_ProcessStep)
                description:  NCEI Accession 0220059 was revised and v5.5 was published.
                rationale:  Updates were received for this dataset. These updates were copied into the data/0-data/ directory of this accession. These updates may provide additional files or replace obsolete files. This version contains the most complete and up-to-date representation of this archival information package. All of the files received prior to this update are available in the preceding version of this accession.
                dateTime:
                  DateTime:  2023-06-28T21:20:39Z
                output:  (LE_Source)
                    sourceCitation:  (CI_Citation)
                        title:  NCEI Accession 0220059 v5.5
                        date:  (CI_Date)
                            date: (inapplicable)
                            dateType:  (CI_DateTypeCode) publication
                        citedResponsibleParty:  (CI_ResponsibleParty)
                            individualName: (inapplicable)
                            contactInfo:  (CI_Contact)
                                onlineResource:  (CI_OnlineResource)
                                    linkage: https://www.ncei.noaa.gov/archive/accession/0220059/5.5
                                    protocol:  HTTPS
                                    name:  NCEI Accession 0220059 v5.5
                                    description:  published 2023-06-28T21:20:39Z
                                    function:  (CI_OnLineFunctionCode) download
                            role: (inapplicable)
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    dataQualityInfo:  (DQ_DataQuality)
        scope:  (DQ_Scope)
            level:  (MD_ScopeCode) dataset
        lineage:  (LI_Lineage)
            processStep:  (LE_ProcessStep)
                description:  Parameter or Variable: Time; Abbreviation: Time; Unit: days since 1985-01-01; Detailed sampling and analyzing information: min = 1985-01-01; max = 2022-12-15; calendar = proleptic_gregorian.
            processStep:  (LE_ProcessStep)
                description:  Parameter or Variable: Latitude; Abbreviation: lat (180); Unit: degrees_north; Detailed sampling and analyzing information: min = -89.5; max = 89.5.
            processStep:  (LE_ProcessStep)
                description:  Parameter or Variable: Longitude; Abbreviation: lon (360); Unit: degrees_east; Detailed sampling and analyzing information: min = -179.5; max = 179.5.
            processStep:  (LE_ProcessStep)
                description:  Parameter or Variable: surface_partial_pressure_of_carbon_dioxide_in_sea_water; Abbreviation: pCO2; Unit: µatm; Detailed sampling and analyzing information: description: surface ocean partial pressure of carbon dioxide estimated with gradient boosted decision trees (lightGBM) and feed-forward neural network (scikit-learn); predictors: xCO2glob, timeSin, timeCos, chlog_globcolour_filled, sst_ostia, sss_soda, u10_era5, v10_era5, mld_holte; testing_years: [1985 1990 1995 2000 2005 2010 2015]; validation_years: [1987 1992 1997 2002 2007 2012 2017].
            processStep:  (LE_ProcessStep)
                description:  Parameter or Variable: standard deviation of pCO2; Abbreviation: pCO2std; Unit: µatm; Detailed sampling and analyzing information: description: standard deviation of the 16 pCO2 ensemble members as an analog of uncertainty.
            processStep:  (LE_ProcessStep)
                description:  Parameter or Variable: total_alkalinity_in_sea_water; Abbreviation: TAlk; Unit: µmol/kg; Detailed sampling and analyzing information: description: Total alkalinity estimated with Support vector regression (scikit-learn); predictors: sst_ostia, sss_soda, nitrateStar_woa18, silicate_woa18, adt_aviso_clim; testing_years: [1986 1989 1992 1995 1998 2001 2004 2007 2010 2013 2016]; validation_years: [0].
            processStep:  (LE_ProcessStep)
                description:  Parameter or Variable: standard deviation of total alkalinity; Abbreviation: TAstd; Unit: µmol/kg; Detailed sampling and analyzing information: description: standard deviation of the 16 TA ensemble members as an analog of uncertainty.
            processStep:  (LE_ProcessStep)
                description:  Parameter or Variable: dissolved_inorganic_carbon_in_sea_water; Abbreviation: DIC; Unit: µmol/kg; Detailed sampling and analyzing information: description: DIC calculated with pyCO2SYS.
            processStep:  (LE_ProcessStep)
                description:  Parameter or Variable: pH on total scale; Abbreviation: pH; Unit: -log(H+); Detailed sampling and analyzing information: description: pH calculated with pyCO2SYS.
            processStep:  (LE_ProcessStep)
                description:  Parameter or Variable: Bicarbonate concentration; Abbreviation: HCO3; Unit: µmol/kg.
            processStep:  (LE_ProcessStep)
                description:  Parameter or Variable: omegaAr; Abbreviation: omegaAR; Unit: ratio.
            processStep:  (LE_ProcessStep)
                description:  Parameter or Variable: omegaAr; Abbreviation: omegaAR; Unit: ratio; Detailed sampling and analyzing information: description: aragonite saturation state, where values below are theoretically undersaturated.
            processStep:  (LE_ProcessStep)
                description:  Parameter or Variable: omegaCa; Abbreviation: omegaCA; Unit: ratio; Detailed sampling and analyzing information: description: calcite saturation state, where values below are theoretically undersaturated.
            processStep:  (LE_ProcessStep)
                description:  Parameter or Variable: sea_water_salinity, Practical Salinity; Abbreviation: salinity; Unit: psu; Detailed sampling and analyzing information: source; https://www2.atmos.umd.edu/%7Eocean/index_files/soda3.4.2_mn_download_b.htm; title: MOM5_SODA_3.4.2.; Method reference: Carton, J.A., G.A. Chepurin, and L. Chen, 2018a: SODA3: a new ocean climate reanalysis, J.Clim., 31, 6967-6983, https://doi.org/10.1175/JCLI-D-18-0149.1..
            processStep:  (LE_ProcessStep)
                description:  Parameter or Variable: sea_surface_foundation_temperature; Abbreviation: temperature; Unit: degC; Detailed sampling and analyzing information: title: OSTIA Sea Surface Temperature and Sea Ice Analysis; long_name: analysed sea surface temperature; entry_id: UKMO-L4HRfnd-GLOB-OSTIARAN; sst_type; foundation; Method reference: reference Merchant, C. J., Embury, O., Bulgin, C. E., Block, T., Corlett, G. K., Fiedler, E., … Donlon, C. J. (2019). Satellite-based time-series of sea-surface temperature since 1981 for climate applications. Scientific Data, 6(1), 223. https://doi.org/10.1038/s41597-019-0236-x .
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    metadataMaintenance:  (MD_MaintenanceInformation)
        maintenanceAndUpdateFrequency:  (MD_MaintenanceFrequencyCode) asNeeded
        maintenanceNote:  Metadata are developed, maintained and distributed by NCEI. Updates are performed as needed to maintain currentness.
        maintenanceNote:  NCEI Accession 0220059 was revised and a new version of the archival package was published. Updates to existing archival packages may provide additional files or replace obsolete files. The latest version contains the most complete and up-to-date representation of this archival information package. All of the files received prior to this update are available in the preceding version of this accession. Please see journal.txt in the /about directory for additional details on changes made.
        contact:  (CI_ResponsibleParty)
            organisationName:  NOAA National Centers for Environmental Information
            role:  (CI_RoleCode) custodian
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    acquisitionInformation:  (MI_AcquisitionInformation)
        instrument:  (MI_Instrument)
            identifier:  (MD_Identifier)
                code:  carbon dioxide (CO2) gas analyzer
            type:  carbon dioxide (CO2) gas analyzer
            description:  measures gaseous carbon dioxide Carbon dioxide gas analyzer has often been referred to as LI-COR, because a lot of researchers choose to use products manufactured by LI-COR incorporation for their carbon dioxide measurement. The main component of a carbon dioxide analyzer is a nondispersive infrared (NDIR) spectroscopic sensors to detect CO2 in a gaseous environment by its characteristic absorption. Carbon dioxide (CO2) gas analyzer works together with carbon dioxide (CO2) equilibrator (insttypes_id 184) to measure carbon dioxide in the water. To measure water carbon dioxide, water needs to be continuously supplied to a showerhead inside an equilibrator. As the water flows through the equilibrator chamber, dissolved carbon dioxide exchanges quickly with air in the headspace. This air is then sampled by the carbon dioxide analyzer to determine the mole fraction of CO2 in water.
        instrument:  (MI_Instrument)
            identifier:  (MD_Identifier)
                code:  CTD
            type:  CTD
            description:  Conductivity-Temperature-Depth probe
        instrument:  (MI_Instrument)
            identifier:  (MD_Identifier)
                code:  Niskin bottle
            type:  Niskin bottle
            description:  Device for obtaining samples of seawater at a specific depth Why special entry for Niskin bottle but no entry for Nansen bottle?
        platform:  (MI_Platform)
            identifier:  (MD_Identifier)
                code:  VARIOUS CHARTERED VESSELS
            description:  VARIOUS CHARTERED VESSELS
            instrument: (missing)