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contributor authorSabine, 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
date accessioned2022-01-30T18:09:15Z
date available2022-01-30T18:09:15Z
date copyright7/29/2020 12:00:00 AM
date issued2020
identifier issn0739-0572
identifier otherjtechd200010.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4264576
description abstractCurrent 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) system was developed. From 2011 to 2018, ASVCO2 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 ASVCO2 systems are capable of long-term oceanic deployment and robust collection of air and seawater pCO2 within ±2 μatm based on comparisons with established shipboard underway systems, with previously described Moored Autonomous pCO2 (MAPCO2) systems, and with companion ASVCO2 systems deployed side by side.
publisherAmerican Meteorological Society
titleEvaluation of a New Carbon Dioxide System for Autonomous Surface Vehicles
typeJournal Paper
journal volume37
journal issue8
journal titleJournal of Atmospheric and Oceanic Technology
identifier doi10.1175/JTECH-D-20-0010.1
journal fristpage1305
journal lastpage1317
treeJournal of Atmospheric and Oceanic Technology:;2020:;volume( 37 ):;issue: 008
contenttypeFulltext


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