共 26 条
Human-induced global ocean warming on multidecadal timescales
被引:110
作者:
Gleckler, P. J.
[1
]
Santer, B. D.
[1
]
Domingues, C. M.
[2
,3
,4
]
Pierce, D. W.
[5
]
Barnett, T. P.
[5
]
Church, J. A.
[3
,4
]
Taylor, K. E.
[1
]
AchutaRao, K. M.
[6
]
Boyer, T. P.
[7
]
Ishii, M.
[8
]
Caldwell, P. M.
[1
]
机构:
[1] Lawrence Livermore Natl Lab, Program Climate Model Diag & Intercomparison, Livermore, CA 94550 USA
[2] Antarctic & Climate Ecosyst Cooperat Res Ctr, Hobart, Tas, Australia
[3] CSIRO Marine & Atmospher Res, Ctr Australian Weather & Climate Res, Hobart, Tas 7001, Australia
[4] CSIRO Marine & Atmospher Res, Wealth Oceans Flagship, Hobart, Tas 7001, Australia
[5] Univ Calif San Diego, Scripps Inst Oceanog, Climate Res Div, La Jolla, CA 92093 USA
[6] Indian Inst Technol, Delhi 110016, India
[7] NOAA, Natl Oceanog Data Ctr, Silver Spring, MD 20910 USA
[8] Meteorol Res Inst, Climate Res Dept, Tsukuba, Ibaraki 3050052, Japan
关键词:
SEA-LEVEL CHANGES;
HEAT-CONTENT;
WORLDS OCEANS;
TEMPERATURE;
VARIABILITY;
D O I:
10.1038/NCLIMATE1553
中图分类号:
X [环境科学、安全科学];
学科分类号:
08 ;
0830 ;
摘要:
Large-scale increases in upper-ocean temperatures are evident in observational records(1). Several studies have used well-established detection and attribution methods to demonstrate that the observed basin-scale temperature changes are consistent with model responses to anthropogenic forcing and inconsistent with model-based estimates of natural variability(2-5). These studies relied on a single observational data set and employed results from only one or two models. Recent identification of systematic instrumental biases(6) in expendable bathythermograph data has led to improved estimates of ocean temperature variability and trends(7-9) and provide motivation to revisit earlier detection and attribution studies. We examine the causes of ocean warming using these improved observational estimates, together with results from a large multimodel archive of externally forced and unforced simulations. The time evolution of upper ocean temperature changes in the newer observational estimates is similar to that of the multimodel average of simulations that include the effects of volcanic eruptions. Our detection and attribution analysis systematically examines the sensitivity of results to a variety of model and data-processing choices. When global mean changes are included, we consistently obtain a positive identification (at the 1% significance level) of an anthropogenic fingerprint in observed upper-ocean temperature changes, thereby substantially strengthening existing detection and attribution evidence.
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页码:524 / 529
页数:6
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