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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)

Metadata Updated: March 1, 2025

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.

Access & Use Information

License: No license information was provided. If this work was prepared by an officer or employee of the United States government as part of that person's official duties it is considered a U.S. Government Work.

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Dates

Metadata Date 2025-02-21T13:13:16Z
Metadata Created Date March 12, 2021
Metadata Updated Date March 1, 2025
Reference Date(s) September 28, 2020 (publication), June 28, 2023 (revision)
Frequency Of Update asNeeded

Metadata Source

Harvested from NOAA/NESDIS/ncei/accessions

Graphic Preview

Preview graphic

Additional Metadata

Resource Type Dataset
Metadata Date 2025-02-21T13:13:16Z
Metadata Created Date March 12, 2021
Metadata Updated Date March 1, 2025
Reference Date(s) September 28, 2020 (publication), June 28, 2023 (revision)
Responsible Party (Point of Contact)
Contact Email
Guid gov.noaa.nodc:0220059
Access Constraints Cite as: Gregor, Luke; Gruber, Nicolas (2020). OceanSODA-ETHZ: A global gridded dataset of the surface ocean carbonate system for seasonal to decadal studies of ocean acidification (v2023) (NCEI Accession 0220059). [indicate subset used]. NOAA National Centers for Environmental Information. Dataset. https://doi.org/10.25921/m5wx-ja34. Accessed [date]., Use liability: NOAA and NCEI cannot provide any warranty as to the accuracy, reliability, or completeness of furnished data. Users assume responsibility to determine the usability of these data. The user is responsible for the results of any application of this data for other than its intended purpose.
Bbox East Long 179.5
Bbox North Lat 89.5
Bbox South Lat -89.5
Bbox West Long -179.5
Coupled Resource
Frequency Of Update asNeeded
Graphic Preview Description Preview graphic
Graphic Preview File https://www.ncei.noaa.gov/access/metadata/landing-page/bin/gfx?id=gov.noaa.nodc:0220059
Graphic Preview Type PNG
Harvest Object Id af6819d7-c521-4e50-9fc2-2ba9d5f8b416
Harvest Source Id c084a438-6f6b-470d-93e0-16aeddb9f513
Harvest Source Title NOAA/NESDIS/ncei/accessions
Licence accessLevel: Public
Lineage
Metadata Language eng
Metadata Type geospatial
Old Spatial {"type": "Polygon", "coordinates": [[[-179.5, -89.5], [179.5, -89.5], [179.5, 89.5], [-179.5, 89.5], [-179.5, -89.5]]]}
Progress completed
Spatial Data Service Type
Spatial Reference System
Spatial Harvester True
Temporal Extent Begin 1982-01-01
Temporal Extent End 2022-12-31

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