Evaluation of a New Carbon Dioxide System for Autonomous Surface Vehicles

Abstract 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...

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Published inJournal of atmospheric and oceanic technology Vol. 37; no. 8; pp. 1305 - 1317
Main Authors Sabine, Christopher, Sutton, Adrienne, McCabe, Kelly, Lawrence-Slavas, Noah, Alin, Simone, Feely, Richard, Jenkins, Richard, Maenner, Stacy, Meinig, Christian, Thomas, Jesse, van Ooijen, Erik, Passmore, Abe, Tilbrook, Bronte
Format Journal Article
LanguageEnglish
Published Boston American Meteorological Society 01.08.2020
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Summary:Abstract 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 CO 2 (ASVCO 2 ) system was developed. From 2011 to 2018, ASVCO 2 systems were deployed on seven Wave Glider and Saildrone missions along the U.S. Pacific and Australia’s Tasmanian coastlines and in the tropical Pacific Ocean to evaluate the viability of the sensors and their applicability to carbon cycle research. Here we illustrate that the ASVCO 2 systems are capable of long-term oceanic deployment and robust collection of air and seawater p CO 2 within ±2 μ atm based on comparisons with established shipboard underway systems, with previously described Moored Autonomous p CO 2 (MAPCO 2 ) systems, and with companion ASVCO 2 systems deployed side by side.
ISSN:0739-0572
1520-0426
DOI:10.1175/JTECH-D-20-0010.1