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ToolsCarter, 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. and Wang, Zhaohui Aleck (2024) Random and systematic uncertainty in ship-based seawater carbonate chemistry observations. Limnology and Oceanography, 69 (10). pp. 2473-2488. ISSN 0024-3590
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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.
| Item Type: | Article |
|---|---|
| Additional Information: | Data availability statement: The GLODAPv2.2022 data product is available at https://glodap.info/index.php/merged-and-adjusted-data-product-v2-2022/, with the associated adjustment table located at https://glodapv2-2022.geomar.de/. The metadata data product used to distinguish between various types of pH measurements is available as Supporting Information Materials for the companion paper (Carter et al. 2024). Funding information: National Science Foundation. Grant Numbers: OCE-1850983, OCE-1923312, OCE-2148468; NOAA Pacific Marine Environmental Laboratory; Massachusetts Institute of Technology mTerra Catalyst Fund; National Oceanic and Atmospheric Administration. Grant Numbers: 100007298, NA17OAR0170332, NA21OAR4310251; National Aeronautics and Space Administration. Grant Number: NASA NNX17AB17G. |
| Uncontrolled Keywords: | oceanography,aquatic science,sdg 13 - climate action,sdg 14 - life below water ,/dk/atira/pure/subjectarea/asjc/1900/1910 |
| Faculty \ School: | Faculty of Science > School of Environmental Sciences |
| UEA Research Groups: | Faculty of Science > Research Groups > Centre for Ocean and Atmospheric Sciences |
| Related URLs: | |
| Depositing User: | LivePure Connector |
| Date Deposited: | 09 Jun 2025 15:30 |
| Last Modified: | 20 Jun 2025 00:34 |
| URI: | https://ueaeprints.uea.ac.uk/id/eprint/99416 |
| DOI: | 10.1002/lno.12674 |
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