Random and systematic uncertainty in ship‐based seawater carbonate chemistry observations
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 obser...
Published in: | Limnology and Oceanography |
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Online Access: | http://dx.doi.org/10.1002/lno.12674 https://aslopubs.onlinelibrary.wiley.com/doi/pdf/10.1002/lno.12674 |
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crwiley:10.1002/lno.12674 2024-09-30T14:40:48+00:00 Random and systematic uncertainty in ship‐based seawater carbonate chemistry observations Carter, Brendan R. Sharp, Jonathan D. García‐Ibáñez, Maribel I. Woosley, Ryan J. Fong, Michael B. Álvarez, Marta Barbero, Leticia Clegg, Simon L. Easley, Regina Fassbender, Andrea J. Li, Xinyu Schockman, Katelyn M. Wang, Zhaohui Aleck National Science Foundation NOAA Pacific Marine Environmental Laboratory National Oceanic and Atmospheric Administration National Aeronautics and Space Administration 2024 http://dx.doi.org/10.1002/lno.12674 https://aslopubs.onlinelibrary.wiley.com/doi/pdf/10.1002/lno.12674 en eng Wiley http://creativecommons.org/licenses/by/4.0/ http://creativecommons.org/licenses/by/4.0/ Limnology and Oceanography ISSN 0024-3590 1939-5590 journal-article 2024 crwiley https://doi.org/10.1002/lno.12674 2024-09-11T04:12:04Z 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. Article in Journal/Newspaper Ocean acidification Wiley Online Library Limnology and Oceanography |
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English |
description |
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. |
author2 |
National Science Foundation NOAA Pacific Marine Environmental Laboratory National Oceanic and Atmospheric Administration National Aeronautics and Space Administration |
format |
Article in Journal/Newspaper |
author |
Carter, Brendan R. Sharp, Jonathan D. García‐Ibáñez, Maribel I. Woosley, Ryan J. Fong, Michael B. Álvarez, Marta Barbero, Leticia Clegg, Simon L. Easley, Regina Fassbender, Andrea J. Li, Xinyu Schockman, Katelyn M. Wang, Zhaohui Aleck |
spellingShingle |
Carter, Brendan R. Sharp, Jonathan D. García‐Ibáñez, Maribel I. Woosley, Ryan J. Fong, Michael B. Álvarez, Marta Barbero, Leticia Clegg, Simon L. Easley, Regina Fassbender, Andrea J. Li, Xinyu Schockman, Katelyn M. Wang, Zhaohui Aleck Random and systematic uncertainty in ship‐based seawater carbonate chemistry observations |
author_facet |
Carter, Brendan R. Sharp, Jonathan D. García‐Ibáñez, Maribel I. Woosley, Ryan J. Fong, Michael B. Álvarez, Marta Barbero, Leticia Clegg, Simon L. Easley, Regina Fassbender, Andrea J. Li, Xinyu Schockman, Katelyn M. Wang, Zhaohui Aleck |
author_sort |
Carter, Brendan R. |
title |
Random and systematic uncertainty in ship‐based seawater carbonate chemistry observations |
title_short |
Random and systematic uncertainty in ship‐based seawater carbonate chemistry observations |
title_full |
Random and systematic uncertainty in ship‐based seawater carbonate chemistry observations |
title_fullStr |
Random and systematic uncertainty in ship‐based seawater carbonate chemistry observations |
title_full_unstemmed |
Random and systematic uncertainty in ship‐based seawater carbonate chemistry observations |
title_sort |
random and systematic uncertainty in ship‐based seawater carbonate chemistry observations |
publisher |
Wiley |
publishDate |
2024 |
url |
http://dx.doi.org/10.1002/lno.12674 https://aslopubs.onlinelibrary.wiley.com/doi/pdf/10.1002/lno.12674 |
genre |
Ocean acidification |
genre_facet |
Ocean acidification |
op_source |
Limnology and Oceanography ISSN 0024-3590 1939-5590 |
op_rights |
http://creativecommons.org/licenses/by/4.0/ http://creativecommons.org/licenses/by/4.0/ |
op_doi |
https://doi.org/10.1002/lno.12674 |
container_title |
Limnology and Oceanography |
_version_ |
1811643286172991488 |