View in EDS

Random and systematic uncertainty in ship‐based seawater carbonate chemistry observations.

Saved in:
Bibliographic Details
Title: Random and systematic uncertainty in ship‐based seawater carbonate chemistry observations.
Authors: Carter, Brendan R.1,2 (AUTHOR) brendan.carter@noaa.gov, Sharp, Jonathan D.1,2 (AUTHOR), García‐Ibáñez, Maribel I.3 (AUTHOR), Woosley, Ryan J.4 (AUTHOR), Fong, Michael B.5 (AUTHOR), Álvarez, Marta6 (AUTHOR), Barbero, Leticia7,8 (AUTHOR), Clegg, Simon L.9 (AUTHOR), Easley, Regina5 (AUTHOR), Fassbender, Andrea J.2 (AUTHOR), Li, Xinyu10 (AUTHOR), Schockman, Katelyn M.7,8 (AUTHOR), Wang, Zhaohui Aleck11 (AUTHOR)
Source: Limnology & Oceanography. Oct2024, Vol. 69 Issue 10, p2473-2488. 16p.
Subjects: Ocean acidification, Carbon dioxide, Seawater, Data analysis, Carbonates
Abstract: Seawater carbonate chemistry observations are increasingly necessary to study a broad array of oceanographic challenges such as ocean acidification, carbon inventory tracking, and assessment of marine carbon dioxide removal strategies. The uncertainty in a seawater carbonate chemistry observation comes from unknown random variations and systematic offsets. Here, we estimate the magnitudes of these random and systematic components of uncertainty for the discrete open‐ocean carbonate chemistry measurements in the Global Ocean Data Analysis Project 2022 update (GLODAPv2.2022). We use both an uncertainty propagation approach and a carbonate chemistry measurement "inter‐consistency" approach that quantifies the disagreement between measured carbonate chemistry variables and calculations of the same variables from other carbonate chemistry measurements. Our inter‐consistency analysis reveals that the seawater carbonate chemistry measurement community has collected and released data with a random uncertainty that averages about 1.7 times the uncertainty estimated by propagating the desired "climate‐quality" random uncertainties. However, we obtain differing random uncertainty estimates for subsets of the available data, with some subsets seemingly meeting the climate‐quality criteria. We find that seawater pH measurements on the total scale do not meet the climate‐quality criteria, though the inter‐consistency of these measurements improves (by 38%) when limited to the subset of measurements made using purified indicator dyes. We show that GLODAPv2 adjustments improve inter‐consistency for some subsets of the measurements while worsening it for others. Finally, we provide general guidance for quantifying the random uncertainty that applies for common combinations of measured and calculated values. [ABSTRACT FROM AUTHOR]
Copyright of Limnology & Oceanography is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
FullText Text:
  Availability: 0
Header DbId: egs
DbLabel: Engineering Source
An: 180410253
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Random and systematic uncertainty in ship‐based seawater carbonate chemistry observations.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Carter%2C+Brendan+R%2E%22">Carter, Brendan R.</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> brendan.carter@noaa.gov</i><br /><searchLink fieldCode="AR" term="%22Sharp%2C+Jonathan+D%2E%22">Sharp, Jonathan D.</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22García‐Ibáñez%2C+Maribel+I%2E%22">García‐Ibáñez, Maribel I.</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Woosley%2C+Ryan+J%2E%22">Woosley, Ryan J.</searchLink><relatesTo>4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Fong%2C+Michael+B%2E%22">Fong, Michael B.</searchLink><relatesTo>5</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Álvarez%2C+Marta%22">Álvarez, Marta</searchLink><relatesTo>6</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Barbero%2C+Leticia%22">Barbero, Leticia</searchLink><relatesTo>7,8</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Clegg%2C+Simon+L%2E%22">Clegg, Simon L.</searchLink><relatesTo>9</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Easley%2C+Regina%22">Easley, Regina</searchLink><relatesTo>5</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Fassbender%2C+Andrea+J%2E%22">Fassbender, Andrea J.</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Li%2C+Xinyu%22">Li, Xinyu</searchLink><relatesTo>10</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Schockman%2C+Katelyn+M%2E%22">Schockman, Katelyn M.</searchLink><relatesTo>7,8</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Wang%2C+Zhaohui+Aleck%22">Wang, Zhaohui Aleck</searchLink><relatesTo>11</relatesTo> (AUTHOR)
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Limnology+%26+Oceanography%22">Limnology & Oceanography</searchLink>. Oct2024, Vol. 69 Issue 10, p2473-2488. 16p.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Ocean+acidification%22">Ocean acidification</searchLink><br /><searchLink fieldCode="DE" term="%22Carbon+dioxide%22">Carbon dioxide</searchLink><br /><searchLink fieldCode="DE" term="%22Seawater%22">Seawater</searchLink><br /><searchLink fieldCode="DE" term="%22Data+analysis%22">Data analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Carbonates%22">Carbonates</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Seawater carbonate chemistry observations are increasingly necessary to study a broad array of oceanographic challenges such as ocean acidification, carbon inventory tracking, and assessment of marine carbon dioxide removal strategies. The uncertainty in a seawater carbonate chemistry observation comes from unknown random variations and systematic offsets. Here, we estimate the magnitudes of these random and systematic components of uncertainty for the discrete open‐ocean carbonate chemistry measurements in the Global Ocean Data Analysis Project 2022 update (GLODAPv2.2022). We use both an uncertainty propagation approach and a carbonate chemistry measurement "inter‐consistency" approach that quantifies the disagreement between measured carbonate chemistry variables and calculations of the same variables from other carbonate chemistry measurements. Our inter‐consistency analysis reveals that the seawater carbonate chemistry measurement community has collected and released data with a random uncertainty that averages about 1.7 times the uncertainty estimated by propagating the desired "climate‐quality" random uncertainties. However, we obtain differing random uncertainty estimates for subsets of the available data, with some subsets seemingly meeting the climate‐quality criteria. We find that seawater pH measurements on the total scale do not meet the climate‐quality criteria, though the inter‐consistency of these measurements improves (by 38%) when limited to the subset of measurements made using purified indicator dyes. We show that GLODAPv2 adjustments improve inter‐consistency for some subsets of the measurements while worsening it for others. Finally, we provide general guidance for quantifying the random uncertainty that applies for common combinations of measured and calculated values. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Limnology & Oceanography is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=180410253
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1002/lno.12674
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 16
        StartPage: 2473
    Subjects:
      – SubjectFull: Ocean acidification
        Type: general
      – SubjectFull: Carbon dioxide
        Type: general
      – SubjectFull: Seawater
        Type: general
      – SubjectFull: Data analysis
        Type: general
      – SubjectFull: Carbonates
        Type: general
    Titles:
      – TitleFull: Random and systematic uncertainty in ship‐based seawater carbonate chemistry observations.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Carter, Brendan R.
      – PersonEntity:
          Name:
            NameFull: Sharp, Jonathan D.
      – PersonEntity:
          Name:
            NameFull: García‐Ibáñez, Maribel I.
      – PersonEntity:
          Name:
            NameFull: Woosley, Ryan J.
      – PersonEntity:
          Name:
            NameFull: Fong, Michael B.
      – PersonEntity:
          Name:
            NameFull: Álvarez, Marta
      – PersonEntity:
          Name:
            NameFull: Barbero, Leticia
      – PersonEntity:
          Name:
            NameFull: Clegg, Simon L.
      – PersonEntity:
          Name:
            NameFull: Easley, Regina
      – PersonEntity:
          Name:
            NameFull: Fassbender, Andrea J.
      – PersonEntity:
          Name:
            NameFull: Li, Xinyu
      – PersonEntity:
          Name:
            NameFull: Schockman, Katelyn M.
      – PersonEntity:
          Name:
            NameFull: Wang, Zhaohui Aleck
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 10
              Text: Oct2024
              Type: published
              Y: 2024
          Identifiers:
            – Type: issn-print
              Value: 00243590
          Numbering:
            – Type: volume
              Value: 69
            – Type: issue
              Value: 10
          Titles:
            – TitleFull: Limnology & Oceanography
              Type: main
ResultId 1