Answers are grounded in this paper and cite their sources.
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.
No takes yet. Share an insight, caveat, or question.
Sabine et al. (2020) studied this question.
Synapse has enriched 10 related papers. Consider them for comparative context: