Time of Emergence of surface ocean carbon dioxide trends in the North American coastal margins in support of ocean acidification observing system design.

dc.contributor.author Turk, Daniela
dc.contributor.author Wang, Hongjie
dc.contributor.author Hu, Xinping
dc.contributor.author Gledhill, Dwight K.
dc.contributor.author Wang, Zhaohui Aleck
dc.contributor.author Jiang, Liqing
dc.contributor.author Cai, Wei-Jun
dc.date.accessioned 2019-04-30T19:12:23Z
dc.date.available 2019-04-30T19:12:23Z
dc.date.issued 2019-03-08
dc.description © The Author(s), 2019. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Turk, D., Wang, H., Hu, X., Gledhill, D. K., Wang, Z. A., Jiang, L., & Cai, W. Time of Emergence of surface ocean carbon dioxide trends in the North American coastal margins in support of ocean acidification observing system design. Frontiers in Marine Science, 6, (2019):91, doi:10.3389/fmars.2019.00091. en_US
dc.description.abstract Time of Emergence (ToE) is the time when a signal emerges from the noise of natural variability. Commonly used in climate science for the detection of anthropogenic forcing, this concept has recently been applied to geochemical variables, to assess the emerging times of anthropogenic ocean acidification (OA), mostly in the open ocean using global climate and Earth System Models. Yet studies of OA variables are scarce within costal margins, due to limited multidecadal time-series observations of carbon parameters. ToE provides important information for decision making regarding the strategic configuration of observing assets, to ensure they are optimally positioned either for signal detection and/or process elicitation and to identify the most suitable variables in discerning OA-related changes. Herein, we present a short overview of ToE estimates on an OA variable, CO2 fugacity f(CO2,sw), in the North American ocean margins, using coastal data from the Surface Ocean CO2 Atlas (SOCAT) V5. ToE suggests an average theoretical timeframe for an OA signal to emerge, of 23(±13) years, but with considerable spatial variability. Most coastal areas are experiencing additional secular and/or multi-decadal forcing(s) that modifies the OA signal, and such forcing may not be sufficiently resolved by current observations. We provide recommendations, which will help scientists and decision makers design and implement OA monitoring systems in the next decade, to address the objectives of OceanObs19 (http://www.oceanobs19.net) in support of the United Nations Decade of Ocean Science for Sustainable Development (2021–2030) (https://en.unesco.org/ocean-decade) and the Sustainable Development Goal (SDG) 14.3 (https://sustainabledevelopment.un.org/sdg14) target to “Minimize and address the impacts of OA.” en_US
dc.description.sponsorship HW was partially supported by an NSF grant (OCE#1654232) while being a research associate at TAMUCC. en_US
dc.identifier.citation Turk, D., Wang, H., Hu, X., Gledhill, D. K., Wang, Z. A., Jiang, L., & Cai, W. (2019). Time of Emergence of surface ocean carbon dioxide trends in the North American coastal margins in support of ocean acidification observing system design. Frontiers in Marine Science, 6, 91. en_US
dc.identifier.doi 10.3389/fmars.2019.00091
dc.identifier.uri https://hdl.handle.net/1912/24083
dc.publisher Frontiers Media en_US
dc.relation.uri https://doi.org/10.3389/fmars.2019.00091
dc.rights Attribution 4.0 International *
dc.rights.uri http://creativecommons.org/licenses/by/4.0/ *
dc.subject Ocean acidification en_US
dc.subject CO2 fugacity en_US
dc.subject Time of emergence en_US
dc.subject Climate change en_US
dc.subject Novel statistical approaches en_US
dc.subject Observing system optimization en_US
dc.subject Decision making tool en_US
dc.title Time of Emergence of surface ocean carbon dioxide trends in the North American coastal margins in support of ocean acidification observing system design. en_US
dc.type Article en_US
dspace.entity.type Publication
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