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Climate Change Research ›› 2020, Vol. 16 ›› Issue (2): 172-181.doi: 10.12006/j.issn.1673-1719.2019.237
Special Issue: 海洋和冰冻圈变化与影响最新认知
• New Scientific Understanding on Changes and Impacts of Oceans and Cryosphere • Previous Articles Next Articles
CHENG Li-Jing
Received:
2019-10-09
Revised:
2019-10-17
Online:
2020-03-30
Published:
2020-04-01
CHENG Li-Jing. SROCC: assessment of the ocean heat content change[J]. Climate Change Research, 2020, 16(2): 172-181.
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URL: https://www.climatechange.cn/EN/10.12006/j.issn.1673-1719.2019.237
Fig. 1 Schematic illustration of key components and changes of the ocean and cryosphere, and their linkages in the Earth system through the movement of heat, water, and carbon [9] (the key changes found in SROCC are illustrated in circular icons)
Fig. 2 Time evolution of ocean subsurface temperature observations [9, 11] (a) Number of subsurface ocean temperature profiles per year by instrument type 1900-2017; (b) Percentage of data coverage for 3°×3° boxes over the global ocean area from 5 to 6000 m
Fig. 3 Time series of globally integrated upper 2000 m ocean heat content changes in ZJ[1] (relative to the 1986-2005 period average, as inferred from observations)[22]
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Tab.1 The assessed rate of increase in ocean heat content in the two depth layers 0-700 m and 700-2000 m and their 5%-95% ranges[16] (Fluxes in W/m2 are averaged over the Earth’s entire surface area)
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Fig. 4 Heat uptake by the top 700 m of the ocean, as determined by differences between the averages over two 5- or 20-year intervals converted to a heat flux into the ocean [16] (a) change between 1971-1990 and 1998-2017 as inferred from EN4 [33]; (b) the ensemble mean change in CMIP5 ESMs for the same time periods as in (a); (c) projected ensemble mean change in CMIP5 ESMs between 1986-2005 and 2081-2100 for the RCP8.5 forcing scenario (In panel (b) and (c), stippling indicates regions where the ensemble mean change is not significantly different from 0 at the 95% confidence level based on the models’ temporal variability); (d) change between 2005-2009 and 2013-2017 as inferred from observations by the SODA reanalysis product; (e) and (f) estimates of change in heat uptake as in (d) but from two individual realizations of the CCSM ESM (These two realizations are identical apart from their initial conditions)
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Tab.2 Ocean heat content trend (0-2000 m depth) during 2005-2017 and 1970-2017 for the global ocean and Southern Ocean [17] (Ordinary Least Square method is used. Uncertainties denote the 90% confidence interval accounting for the reduction in the degrees of freedom implied by temporal correlations of residuals. Values in curved brackets are percentages of heat gain by the Southern Ocean relative to the global ocean. The mean proportion and its 5%-95% confidence interval (1.65 times standard deviation of individual estimates) are in the last column)
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Fig. 5 (a) Zonally- and depth-integrated ocean heat content trends from EN4 datasets, for period 1982-2017; (b) Zonal-mean ocean potential temperature trend (shading) from EN4 for 1982-2017, with climatological ocean salinity in intervals of 0.15 (contours) [17,34]每个纬度的热含量变化/(ZJ/10a
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