DOI: 10.1002/2017JC013504
Scopus记录号: 2-s2.0-85042607186
论文题名: A Model-Based Evaluation of the Inverse Gaussian Transit-Time Distribution Method for Inferring Anthropogenic Carbon Storage in the Ocean
作者: He Y.-C. ; Tjiputra J. ; Langehaug H.R. ; Jeansson E. ; Gao Y. ; Schwinger J. ; Olsen A.
刊名: Journal of Geophysical Research: Oceans
ISSN: 21699275
出版年: 2018
卷: 123, 期: 3 起始页码: 1777
结束页码: 1800
语种: 英语
英文关键词: anthropogenic carbon
; ocean model
; passive tracer
; transit-time distribution
Scopus关键词: air-sea interaction
; alkalinity
; anthropogenic effect
; carbon dioxide
; carbon sequestration
; chemical compound
; climate change
; Gaussian method
; numerical method
; numerical model
; oceanic circulation
; salinity
; steady-state equilibrium
; temporal variation
; tracer
; Atlantic Ocean
; Atlantic Ocean (North)
; Southern Ocean
英文摘要: The Inverse Gaussian approximation of transit time distribution method (IG-TTD) is widely used to infer the anthropogenic carbon (Cant) concentration in the ocean from measurements of transient tracers such as chlorofluorocarbons (CFCs) and sulfur hexafluoride (SF6). Its accuracy relies on the validity of several assumptions, notably (i) a steady state ocean circulation, (ii) a prescribed age tracer saturation history, e.g., a constant 100% saturation, (iii) a prescribed constant degree of mixing in the ocean, (iv) a constant surface ocean air-sea CO2 disequilibrium with time, and (v) that preformed alkalinity can be sufficiently estimated by salinity or salinity and temperature. Here, these assumptions are evaluated using simulated “model-truth” of Cant. The results give the IG-TTD method a range of uncertainty from 7.8% to 13.6% (11.4 Pg C to 19.8 Pg C) due to above assumptions, which is about half of the uncertainty derived in previous model studies. Assumptions (ii), (iv) and (iii) are the three largest sources of uncertainties, accounting for 5.5%, 3.8% and 3.0%, respectively, while assumptions (i) and (v) only contribute about 0.6% and 0.7%. Regionally, the Southern Ocean contributes the largest uncertainty, of 7.8%, while the North Atlantic contributes about 1.3%. Our findings demonstrate that spatial-dependency of Δ/Г, and temporal changes in tracer saturation and air-sea CO2 disequilibrium have strong compensating effect on the estimated Cant. The values of these parameters should be quantified to reduce the uncertainty of IG-TTD; this is increasingly important under a changing ocean climate. © 2018. American Geophysical Union. All Rights Reserved. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/114307
Appears in Collections: 气候减缓与适应
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作者单位: Nansen Environmental and Remote Sensing Center, Bjerknes Centre for Climate Research, Bergen, Norway; Uni Research Climate, Bjerknes Centre for Climate Research, Bergen, Norway; Nansen-Zhu International Research Center, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China; Geophysical Institute, University of Bergen and Bjerknes Centre for Climate Research, Bergen, Norway
Recommended Citation:
He Y.-C.,Tjiputra J.,Langehaug H.R.,et al. A Model-Based Evaluation of the Inverse Gaussian Transit-Time Distribution Method for Inferring Anthropogenic Carbon Storage in the Ocean[J]. Journal of Geophysical Research: Oceans,2018-01-01,123(3)