globalchange  > 气候变化事实与影响
DOI: 10.3389/fmars.2019.00091
WOS记录号: WOS:000462712000001
论文题名:
Time of Emergence of Surface Ocean Carbon Dioxide Trends in the North American Coastal Margins in Support of Ocean Acidification Observing System Design
作者: Turk, Daniela1,2; Wang, Hongjie3,4; Hu, Xinping4; Gledhill, Dwight K.5; Wang, Zhaohui Aleck6; Jiang, Liqing7; Cai, Wei-Jun3
通讯作者: Turk, Daniela
刊名: FRONTIERS IN MARINE SCIENCE
EISSN: 2296-7745
出版年: 2019
卷: 6
语种: 英语
英文关键词: ocean acidification ; CO2 fugacity ; time of emergence ; climate change ; novel statistical approaches ; observing system optimization ; decision making tool
WOS关键词: CLIMATE-CHANGE ; DRIVERS ; VARIABILITY ; IMPACTS ; PCO(2)
WOS学科分类: Environmental Sciences ; Marine & Freshwater Biology
WOS研究方向: Environmental Sciences & Ecology ; Marine & Freshwater Biology
英文摘要:

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."


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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/131859
Appears in Collections:气候变化事实与影响

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作者单位: 1.Dalhousie Univ, Dept Oceanog, Halifax, NS, Canada
2.Columbia Univ, Lamont Doherty Earth Observ, New York, NY 10027 USA
3.Univ Delaware, Sch Marine Sci & Policy, Newark, DE USA
4.Texas A&M Univ Corpus Christi, Dept Phys & Environm Sci, Corpus Christi, TX USA
5.NOAA, Ocean Acidificat Program, Silver Spring, MD USA
6.Woods Hole Oceanog Inst, Dept Marine Chem & Geochem, Woods Hole, MA 02543 USA
7.Univ Maryland, Cooperat Inst Climate & Satellites, Earth Syst Sci Interdisciplinary Ctr, College Pk, MD 20742 USA

Recommended Citation:
Turk, Daniela,Wang, Hongjie,Hu, Xinping,et al. Time of Emergence of Surface Ocean Carbon Dioxide Trends in the North American Coastal Margins in Support of Ocean Acidification Observing System Design[J]. FRONTIERS IN MARINE SCIENCE,2019-01-01,6
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