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Long‐term intercomparison of two p CO 2 instruments based on ship‐of‐opportunity measurements in a dynamic shelf sea environment
Author(s) -
Macovei Vlad A.,
Voynova Yoana G.,
Becker Meike,
Triest Jack,
Petersen Wilhelm
Publication year - 2021
Publication title -
limnology and oceanography: methods
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.898
H-Index - 72
ISSN - 1541-5856
DOI - 10.1002/lom3.10403
Subject(s) - carbon dioxide , environmental science , biogeochemical cycle , atmosphere (unit) , correlation coefficient , scale (ratio) , mean squared error , term (time) , seawater , carbon dioxide sensor , continental shelf , sampling (signal processing) , computer science , marine engineering , remote sensing , meteorology , chemistry , statistics , physics , mathematics , geology , oceanography , environmental chemistry , telecommunications , engineering , organic chemistry , quantum mechanics , detector
The partial pressure of carbon dioxide ( p CO 2 ) in surface seawater is an important biogeochemical variable because, together with the p CO 2 in the atmosphere, it determines the direction of air–sea carbon dioxide exchange. Large‐scale observations of p CO 2 are facilitated by Ships‐of‐Opportunity (SOOP‐CO 2 ) equipped with underway measuring instruments. The need for expanding the observation capacity and the challenges involving the sustainability and maintenance of traditional equilibrator systems led the community toward developing simpler and more autonomous systems. Here we performed a comparison between a membrane‐based sensor and a showerhead equilibration sensor installed on two SOOP‐CO 2 between 2013 and 2018. We identified time‐ and space‐adequate crossovers in the Skagerrak Strait, where the two ship routes often crossed. We found a mean total difference of 1.5 ± 10.6 μ atm and a root mean square error of 11 μ atm. The p CO 2 values recorded by the two instruments showed a strong linear correlation with a coefficient of 0.91 and a slope of 1.07 (± 0.14), despite the dynamic nature of the environment and the difficulty of comparing measurements from two different vessels. The membrane‐based sensor was integrated with a FerryBox system on a ship with a high sampling frequency in the study area. We showed the strength of having a sensor‐based network with a high spatial coverage that can be validated against conventional SOOP‐CO 2 methods. Proving the validity of membrane‐based sensors in coastal and continental shelf seas and using the higher frequency measurements they provide can enable a thorough characterization of p CO 2 variability in these dynamic environments.