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Dataset Overview | National Centers for Environmental Information (NCEI)

RFR-LME Ocean Acidification Indicators from 1998 to 2022 (NCEI Accession 0287551)

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This NCEI Accession consists of gridded monthly data products of surface ocean acidification indicators from 1998 to 2022 and on a 0.25° by 0.25° spatial grid have been developed for eleven U.S. Large Marine Ecosystems (LMEs) using a machine learning algorithm called random forest regression (RFR). The data products are called RFR-LMEs, and were constructed using observations from the Surface Ocean CO2 Atlas — co-located with surface ocean properties from various satellite, reanalysis, and observational products — with an approach that utilized two types of machine learning algorithms: (1) Gaussian mixture models to cluster the data into subregions with similar environmental variability and (2) RFRs that were trained and applied separately in each cluster to interpolate the observational data in space and time. RFR-LMEs also rely on previously published seawater property estimation routines to obtain the full suite of ocean acidification indicators. The products show a domain-wide carbon dioxide partial pressure increase of 1.5 ± 0.4 μatm yr−1 and pH decrease of 0.0014 ± 0.0004 yr−1. Refer to Sharp et al., 2024 for more information on the creation and validation of RFR-LMEs.
  • Cite as: Sharp, Jonathan D.; Jiang, Li-Qing; Carter, Brendan R.; Lavin, Paige D.; Yoo, Hye Lim; Cross, Scott L. (2024). RFR-LME Ocean Acidification Indicators from 1998 to 2022 (NCEI Accession 0287551). [indicate subset used]. NOAA National Centers for Environmental Information. Dataset. https://doi.org/10.25921/h8vw-e872. Accessed [date].
gov.noaa.nodc:0287551
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Distribution Formats
  • Originator data format
Ordering Instructions Contact NCEI for other distribution options and instructions.
Distributor NOAA National Centers for Environmental Information
+1-301-713-3277
NCEI.Info@noaa.gov
Dataset Point of Contact NOAA National Centers for Environmental Information
ncei.info@noaa.gov
Time Period 1998-01-01 to 2022-12-31
Spatial Bounding Box Coordinates
West: 140
East: -58
South: -18
North: 82
Spatial Coverage Map
General Documentation
Associated Resources
  • Jiang, Li-Qing; Dunne, John P.; Carter, Brendan R.; Tjiputra, Jerry; Terhaar, Jens; Sharp, Jonathan D.; Olsen, Are; Alin, Simone R.; Bakker, Dorothee C. E.; Feely, Richard A.; Hogan, Patrick; Ilyina, Tatiana; Lange, Nico; Lauvset, Siv K.; Lovato, Tomas; Palmiéri, Julien; Santana-Falcón, Yeray; Schwinger, Jörg; Séférian, Roland; Strand, Gary; Swart, Neil C.; Tanhua, Toste; Tsujino, Hiroyuki; Wanninkhof, Rik; Watanabe, Michio; Yamamoto, Akitomo; Ziehn, Tilo (2022). Global surface ocean acidification indicators from 1750 to 2100 (NCEI Accession 0259391). NOAA National Centers for Environmental Information. Dataset. https://doi.org/10.25921/9ker-bc48.
  • NOAA National Centers for Environmental Information (2022). Ocean Carbon and Acidification Data System (OCADS). NOAA National Centers for Environmental Information. https://www.ncei.noaa.gov/products/ocean-carbon-acidification-data-system
Publication Dates
  • publication: 2024-02-01
  • revision: 2024-05-31
Data Presentation Form Digital table - digital representation of facts or figures systematically displayed, especially in columns
Dataset Progress Status Complete - production of the data has been completed
Historical archive - data has been stored in an offline storage facility
Data Update Frequency As needed
Supplemental Information
This data package (Submission ID: BHAXLR4SD) was acquired by NCEI from the Scientific Data Integration System (SDIS) at the NOAA Pacific Marine Environmental Laboratory (PMEL) in accordance with the archival submission agreement between NCEI and PMEL.

In this accession, NCEI has archived multiple versions of these data. The latest (and best) version of these data has the largest version number.
Purpose This dataset is available to the public for a wide variety of uses including scientific research and analysis.
Use Limitations
  • accessLevel: Public
  • Distribution liability: NOAA and NCEI make no warranty, expressed or implied, regarding these data, nor does the fact of distribution constitute such a warranty. NOAA and NCEI cannot assume liability for any damages caused by any errors or omissions in these data. If appropriate, NCEI can only certify that the data it distributes are an authentic copy of the records that were accepted for inclusion in the NCEI archives.
Dataset Citation
  • Cite as: Sharp, Jonathan D.; Jiang, Li-Qing; Carter, Brendan R.; Lavin, Paige D.; Yoo, Hye Lim; Cross, Scott L. (2024). RFR-LME Ocean Acidification Indicators from 1998 to 2022 (NCEI Accession 0287551). [indicate subset used]. NOAA National Centers for Environmental Information. Dataset. https://doi.org/10.25921/h8vw-e872. Accessed [date].
Cited Authors
Principal Investigators
Contributors
Resource Providers
Publishers
Acknowledgments
  • Funding Information: NOAA Ocean Acidification Program (Temporal changes of ocean acidification indicators in the U.S. Large Marine Ecosystems (LMEs) - an operational data product at NOAA/NCEI, 21925)
Theme keywords NODC DATA TYPES THESAURUS NODC OBSERVATION TYPES THESAURUS WMO_CategoryCode
  • oceanography
Global Change Master Directory (GCMD) Science Keywords OCADS Study Type
  • Model output
Provider Variable Abbreviations
  • CO3
  • DIC
  • H
  • Omega_Aragonite
  • Omega_Calcite
  • RF
  • TA
  • fCO2
  • pCO2
  • pH
Data Center keywords NODC COLLECTING INSTITUTION NAMES THESAURUS NODC SUBMITTING INSTITUTION NAMES THESAURUS Global Change Master Directory (GCMD) Data Center Keywords
Platform keywords NODC PLATFORM NAMES THESAURUS
Instrument keywords NODC INSTRUMENT TYPES THESAURUS Global Change Master Directory (GCMD) Instrument Keywords
Place keywords NODC SEA AREA NAMES THESAURUS Global Change Master Directory (GCMD) Location Keywords Provider Geographic Names
  • Arctic Ocean
  • Atlantic Ocean
  • Pacific Ocean
Project keywords NODC PROJECT NAMES THESAURUS Ocean Acidification Search Keywords
  • Ocean Acidification Program (OAP)
  • Ocean Carbon and Acidification Data System (OCADS) Project
Keywords NCEI ACCESSION NUMBER
Use Constraints
  • Cite as: Sharp, Jonathan D.; Jiang, Li-Qing; Carter, Brendan R.; Lavin, Paige D.; Yoo, Hye Lim; Cross, Scott L. (2024). RFR-LME Ocean Acidification Indicators from 1998 to 2022 (NCEI Accession 0287551). [indicate subset used]. NOAA National Centers for Environmental Information. Dataset. https://doi.org/10.25921/h8vw-e872. Accessed [date].
Access Constraints
  • 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.
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.
Lineage information for: dataset
Processing Steps
  • 2024-02-01T11:39:13Z - NCEI Accession 0287551 v1.1 was published.
  • 2024-05-31T21:53:50Z - NCEI Accession 0287551 was revised and v2.2 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.
Output Datasets
Lineage information for: dataset
Processing Steps
  • Parameter or Variable: Sea surface fugacity of carbon dioxide; Abbreviation: fCO2; Unit: μatm; Observation type: Model output; Measured or calculated: Calculated; Uncertainty: Included in data file; Method reference: Sharp, J. D., Jiang, L.-Q., Carter, B. R., Lavin, P. D., Yoo, H., & Cross, S. L. (2024). A mapped dataset of surface ocean acidification indicators in large marine ecosystems of the United States. Scientific Data, 11(1). https://doi.org/10.1038/s41597-024-03530-7.; Researcher name: Jonathan D. Sharp; Researcher institution: University of Washington CICOES, NOAA Pacific Marine Environmental Laboratory.
  • Parameter or Variable: Sea surface partial pressure of carbon dioxide; Abbreviation: pCO2; Unit: μatm; Observation type: Model output; Measured or calculated: Calculated; Uncertainty: Included in data file; Method reference: Sharp, J. D., Jiang, L.-Q., Carter, B. R., Lavin, P. D., Yoo, H., & Cross, S. L. (2024). A mapped dataset of surface ocean acidification indicators in large marine ecosystems of the United States. Scientific Data, 11(1). https://doi.org/10.1038/s41597-024-03530-7.; Researcher name: Jonathan D. Sharp; Researcher institution: University of Washington CICOES, NOAA Pacific Marine Environmental Laboratory.
  • Parameter or Variable: Sea surface pH (total scale); Abbreviation: pH; Unit: N/A; Observation type: Model output; Measured or calculated: Calculated; Uncertainty: Included in data file; Method reference: Sharp, J. D., Jiang, L.-Q., Carter, B. R., Lavin, P. D., Yoo, H., & Cross, S. L. (2024). A mapped dataset of surface ocean acidification indicators in large marine ecosystems of the United States. Scientific Data, 11(1). https://doi.org/10.1038/s41597-024-03530-7.; Researcher name: Jonathan D. Sharp; Researcher institution: University of Washington CICOES, NOAA Pacific Marine Environmental Laboratory.
  • Parameter or Variable: Sea surface aragonite saturation state; Abbreviation: Omega_Aragonite; Unit: N/A; Observation type: Model output; Measured or calculated: Calculated; Uncertainty: Included in data file; Method reference: Sharp, J. D., Jiang, L.-Q., Carter, B. R., Lavin, P. D., Yoo, H., & Cross, S. L. (2024). A mapped dataset of surface ocean acidification indicators in large marine ecosystems of the United States. Scientific Data, 11(1). https://doi.org/10.1038/s41597-024-03530-7.; Researcher name: Jonathan D. Sharp; Researcher institution: University of Washington CICOES, NOAA Pacific Marine Environmental Laboratory.
  • Parameter or Variable: Sea surface calcite saturation state; Abbreviation: Omega_Calcite; Unit: N/A; Observation type: Model output; Measured or calculated: Calculated; Uncertainty: Included in data file; Method reference: Sharp, J. D., Jiang, L.-Q., Carter, B. R., Lavin, P. D., Yoo, H., & Cross, S. L. (2024). A mapped dataset of surface ocean acidification indicators in large marine ecosystems of the United States. Scientific Data, 11(1). https://doi.org/10.1038/s41597-024-03530-7.; Researcher name: Jonathan D. Sharp; Researcher institution: University of Washington CICOES, NOAA Pacific Marine Environmental Laboratory.
  • Parameter or Variable: Sea surface carbonate ion concentration; Abbreviation: CO3; Unit: μmol/kg; Observation type: Model output; Measured or calculated: Calculated; Uncertainty: Included in data file; Method reference: Sharp, J. D., Jiang, L.-Q., Carter, B. R., Lavin, P. D., Yoo, H., & Cross, S. L. (2024). A mapped dataset of surface ocean acidification indicators in large marine ecosystems of the United States. Scientific Data, 11(1). https://doi.org/10.1038/s41597-024-03530-7.; Researcher name: Jonathan D. Sharp; Researcher institution: University of Washington CICOES, NOAA Pacific Marine Environmental Laboratory.
  • Parameter or Variable: Sea surface dissolved inorganic carbon; Abbreviation: DIC; Unit: μmol/kg; Observation type: Model output; Measured or calculated: Calculated; Uncertainty: Included in data file; Method reference: Sharp, J. D., Jiang, L.-Q., Carter, B. R., Lavin, P. D., Yoo, H., & Cross, S. L. (2024). A mapped dataset of surface ocean acidification indicators in large marine ecosystems of the United States. Scientific Data, 11(1). https://doi.org/10.1038/s41597-024-03530-7.; Researcher name: Jonathan D. Sharp; Researcher institution: University of Washington CICOES, NOAA Pacific Marine Environmental Laboratory.
  • Parameter or Variable: Sea surface total alkalinity; Abbreviation: TA; Unit: μmol/kg; Observation type: Model output; Measured or calculated: Calculated; Uncertainty: Included in data file; Method reference: Sharp, J. D., Jiang, L.-Q., Carter, B. R., Lavin, P. D., Yoo, H., & Cross, S. L. (2024). A mapped dataset of surface ocean acidification indicators in large marine ecosystems of the United States. Scientific Data, 11(1). https://doi.org/10.1038/s41597-024-03530-7.; Researcher name: Jonathan D. Sharp; Researcher institution: University of Washington CICOES, NOAA Pacific Marine Environmental Laboratory.
  • Parameter or Variable: Sea surface hydrogen ion concentration; Abbreviation: H; Unit: nmol/kg; Observation type: Model output; Measured or calculated: Calculated; Uncertainty: Included in data file; Method reference: Sharp, J. D., Jiang, L.-Q., Carter, B. R., Lavin, P. D., Yoo, H., & Cross, S. L. (2024). A mapped dataset of surface ocean acidification indicators in large marine ecosystems of the United States. Scientific Data, 11(1). https://doi.org/10.1038/s41597-024-03530-7.; Researcher name: Jonathan D. Sharp; Researcher institution: University of Washington CICOES, NOAA Pacific Marine Environmental Laboratory.
  • Parameter or Variable: Sea surface Revelle factor; Abbreviation: RF; Unit: N/A; Observation type: Model output; Measured or calculated: Calculated; Uncertainty: Included in data file; Method reference: Sharp, J. D., Jiang, L.-Q., Carter, B. R., Lavin, P. D., Yoo, H., & Cross, S. L. (2024). A mapped dataset of surface ocean acidification indicators in large marine ecosystems of the United States. Scientific Data, 11(1). https://doi.org/10.1038/s41597-024-03530-7.; Researcher name: Jonathan D. Sharp; Researcher institution: University of Washington CICOES, NOAA Pacific Marine Environmental Laboratory .
Acquisition Information (collection)
Instrument
  • carbon dioxide (CO2) gas analyzer
  • pH sensor
  • titrator
Platform
  • VARIOUS CHARTERED VESSELS
Last Modified: 2024-07-15T12:37:35Z
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