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  • Ocean acidification  (2)
  • Carbon cycling  (1)
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  • 1
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-10-31
    Description: Dataset: Carbonate Chemistry 2014-2017 and 2018-2020
    Description: The Ecosystem Science and Modeling lab has been collecting water samples from five stations in the Mission-Aransas Estuary (MAE, Northwest Gulf of Mexico, Texas coast) for carbonate system characterization on a monthly to twice monthly basis since May 2014. This dataset includes temperature, salinity, dissolved inorganic carbon (DIC), total alkalinity (TA), calcium, and pH measurements from surface and bottom water samples in MAE from May 2014 – Feb 2017 and Dec 2018 – Feb 2020. Additional data for this estuary to fill in the Feb 2017 – Dec 2018 gap are also archived with BCO-DMO (http://www.bco-dmo.org/dataset/784673, doi:10.1575/1912/bco-dmo.784673.1). For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/835227
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1654232
    Keywords: Carbonate chemistry ; Ocean acidification ; Estuary ; Carbon cycling
    Repository Name: Woods Hole Open Access Server
    Type: Dataset
    Location Call Number Limitation Availability
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  • 2
    Publication Date: 2022-10-26
    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.
    Description: 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.”
    Description: HW was partially supported by an NSF grant (OCE#1654232) while being a research associate at TAMUCC.
    Keywords: Ocean acidification ; CO2 fugacity ; Time of emergence ; Climate change ; Novel statistical approaches ; Observing system optimization ; Decision making tool
    Repository Name: Woods Hole Open Access Server
    Type: Article
    Location Call Number Limitation Availability
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