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abstract: 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.
purpose: This dataset is available to the public for a wide variety of uses including scientific research and analysis.
credit: 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)
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title: 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.
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beginPosition: 1998-01-01
endPosition: 2022-12-31
supplementalInformation: 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.
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electronicMailAddress: NCEI.Info@noaa.gov
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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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linkage: https://doi.org/10.25921/h8vw-e872
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function: (CI_OnLineFunctionCode) download
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dataQualityInfo: (DQ_DataQuality)
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description: NCEI Accession 0287551 v1.1 was published.
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description: 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.
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dataQualityInfo: (DQ_DataQuality)
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description: 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.
processStep: (LE_ProcessStep)
description: 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.
processStep: (LE_ProcessStep)
description: 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.
processStep: (LE_ProcessStep)
description: 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.
processStep: (LE_ProcessStep)
description: 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.
processStep: (LE_ProcessStep)
description: 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.
processStep: (LE_ProcessStep)
description: 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.
processStep: (LE_ProcessStep)
description: 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.
processStep: (LE_ProcessStep)
description: 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.
processStep: (LE_ProcessStep)
description: 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 .
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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 0287551 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: pH sensor
type: pH sensor
description: generic meter used to measure pH Any of a class of instruments used to quantify pH in a water or other type of sample.
instrument: (MI_Instrument)
identifier: (MD_Identifier)
code: titrator
type: titrator
description: titrator
platform: (MI_Platform)
identifier: (MD_Identifier)
code: VARIOUS CHARTERED VESSELS
description: VARIOUS CHARTERED VESSELS
instrument: (missing)
