Evaluation of a new carbon dioxide system for autonomous surface vehicles
Sabine, C.L.;
Sutton, Adrienne;
McCabe, Kelly;
Lawrence-Slavas, Noah;
Alin, Simone;
Feely, R. A.;
Jenkins, Richard;
Maenner, Stacy;
Meinig, Christian;
Thomas, Jesse;
Van Ooijen, Erik
;
Passmore, Abe;
Tilbrook, Bronte
2020-08-01
Journal Article
Journal of Atmospheric and Oceanic Technology
37
1305-1317
Current carbon measurement strategies leave spatiotemporal gaps that hinder the scientific understanding of the oceanic carbon biogeochemical cycle. Data products and models are subject to bias because they rely on data that inadequately capture mesoscale spatiotemporal (kilometers and days to weeks) changes. High-resolution measurement strategies need to be implemented to adequately evaluate the global ocean carbon cycle. To augment the spatial and temporal coverage of ocean-atmosphere carbon measurements, an Autonomous Surface Vehicle CO2 (ASVCO2 TM) system was developed. From 2011 to 2018, ASVCO2 systems were deployed on seven Wave Glider and Saildrone missions along the U.S. Pacific and Australian coastlines and in the tropical Pacific to evaluate the viability of the sensors and their applicability to carbon cycle research. Here we illustrate that the ASVCO2 systems are capable of long-term oceanic deployment and robust collection of air and seawater pCO2 within ± 2 μatm.
American Meteorological Society
ocean carbon
Carbon Sequestration Science; Environmental Monitoring; Environmental Impact Assessment
https://doi.org/10.1175/JTECH-D-20-0010.1
Funding Body Name | Project/Grant ID |
---|---|
Integrated Marine Observing System (IMOS) | OA moorings |
EP198463
Journal article - Refereed
English
Sabine, C.L.; Sutton, Adrienne; McCabe, Kelly; Lawrence-Slavas, Noah; Alin, Simone; Feely, R. A.; Jenkins, Richard; Maenner, Stacy; Meinig, Christian; Thomas, Jesse; Van Ooijen, Erik; Passmore, Abe; Tilbrook, Bronte. Evaluation of a new carbon dioxide system for autonomous surface vehicles. Journal of Atmospheric and Oceanic Technology. 2020; 37:1305-1317. https://doi.org/10.1175/JTECH-D-20-0010.1
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