Paleosalinity;
Isotopes;
Oxygen-18;
Last Glacial Maximum;
Last Interglacial;
Paleoceanography;
OXYGEN ISOTOPIC COMPOSITION;
SEA-SURFACE SALINITY;
NORTH-ATLANTIC;
PROBABILISTIC ASSESSMENT;
ATMOSPHERIC CIRCULATION;
TEMPERATURE-CHANGES;
STABLE-ISOTOPES;
WATER MASSES;
FRESH-WATER;
GLAMAP;
2000;
D O I:
10.1016/j.quascirev.2015.07.007
中图分类号:
P9 [自然地理学];
学科分类号:
0705 ;
070501 ;
摘要:
Reconstructions of salinity are used to diagnose changes in the hydrological cycle and ocean circulation. A widely used method of determining past salinity uses oxygen isotope (Sow) residuals after the extraction of the global ice volume and temperature components. This method relies on a constant relationship between bow and salinity throughout time. Here we use the isotope-enabled fully coupled General Circulation Model (GCM) HadCM3 to test the application of spatially and time-independent relationships in the reconstruction of past ocean salinity. Simulations of the Late Holocene (LH), Last Glacial Maximum (LGM), and Last Interglacial (LIG) climates are performed and benchmarked against existing compilations of stable oxygen isotopes in carbonates (delta(0c)), which primarily reflect delta(0w) and temperature. We find that HadCM3 produces an accurate representation of the surface ocean delta(0c) distribution for the LH and LGM. Our simulations show considerable variability in spatial and temporal delta(0w)-salinity relationships. Spatial gradients are generally shallower but within similar to 50% of the actual simulated LH to LGM and LH to LIG temporal gradients and temporal gradients calculated from multi-decadal variability are generally shallower than both spatial and actual simulated gradients. The largest sources of uncertainty in salinity reconstructions are found to be caused by changes in regional freshwater budgets, ocean circulation, and sea ice regimes. These can cause errors in salinity estimates exceeding 4 psu. Our results suggest that paleosalinity reconstructions in the South Atlantic, Indian and Tropical Pacific Oceans should be most robust, since these regions exhibit relatively constant delta(0w)-salinity relationships across spatial and temporal scales. Largest uncertainties will affect North Atlantic and high latitude paleosalinity reconstructions. Finally, the results show that it is difficult to generate reliable salinity estimates for regions of dynamic oceanography, such as the North Atlantic, without additional constraints. (C) 2015 Elsevier Ltd. All rights reserved.
机构:
Chinese Acad Sci, Inst Atmospher Phys, Beijing, Peoples R China
Univ Chinese Acad Sci, Coll Earth & Planetary Sci, Beijing, Peoples R ChinaChinese Acad Sci, Inst Atmospher Phys, Beijing, Peoples R China
Wang, Ting
Tian, Zhiping
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机构:
Chinese Acad Sci, Inst Atmospher Phys, Beijing, Peoples R ChinaChinese Acad Sci, Inst Atmospher Phys, Beijing, Peoples R China
Tian, Zhiping
Jiang, Dabang
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机构:
Chinese Acad Sci, Inst Atmospher Phys, Beijing, Peoples R China
Univ Chinese Acad Sci, Coll Earth & Planetary Sci, Beijing, Peoples R China
Minist Emergency Management China, Natl Inst Nat Hazards, Beijing, Peoples R ChinaChinese Acad Sci, Inst Atmospher Phys, Beijing, Peoples R China
机构:
Chinese Acad Sci, Guangzhou Inst Geochem, State Key Lab Organ Geochem, Guangzhou 510640, Guangdong, Peoples R ChinaChinese Acad Sci, Guangzhou Inst Geochem, State Key Lab Organ Geochem, Guangzhou 510640, Guangdong, Peoples R China
Jia, Guodong
Xie, Hongqin
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机构:
Chinese Acad Sci, Guangzhou Inst Geochem, State Key Lab Organ Geochem, Guangzhou 510640, Guangdong, Peoples R ChinaChinese Acad Sci, Guangzhou Inst Geochem, State Key Lab Organ Geochem, Guangzhou 510640, Guangdong, Peoples R China
Xie, Hongqin
Peng, Ping'an
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机构:
Chinese Acad Sci, Guangzhou Inst Geochem, State Key Lab Organ Geochem, Guangzhou 510640, Guangdong, Peoples R ChinaChinese Acad Sci, Guangzhou Inst Geochem, State Key Lab Organ Geochem, Guangzhou 510640, Guangdong, Peoples R China
机构:
Korea Polar Res Inst, KORDI, Inchon 406840, South Korea
Chinese Acad Meteorol Sci, Beijing, Peoples R ChinaKorea Polar Res Inst, KORDI, Inchon 406840, South Korea
Lue, Jun-Mei
Kim, Seong-Joong
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机构:
Korea Polar Res Inst, KORDI, Inchon 406840, South KoreaKorea Polar Res Inst, KORDI, Inchon 406840, South Korea
Kim, Seong-Joong
Abe-Ouchi, Ayako
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机构:
Univ Tokyo, Ctr Climate Syst Res, Kashiwa, Chiba, JapanKorea Polar Res Inst, KORDI, Inchon 406840, South Korea
Abe-Ouchi, Ayako
Yu, Yongqiang
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机构:
Chinese Acad Sci, Inst Atmospher Phys, LASG, Beijing, Peoples R ChinaKorea Polar Res Inst, KORDI, Inchon 406840, South Korea
Yu, Yongqiang
Ohgaito, Rumi
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机构:
Japan Agcy Marine Earth Sci & Technol, Yokohama, Kanagawa, JapanKorea Polar Res Inst, KORDI, Inchon 406840, South Korea
机构:
Chinese Acad Sci, Inst Atmospher Phys, State Key Lab Numer Modeling Atmospher Sci & Geop, Beijing 100029, Peoples R ChinaChinese Acad Sci, Inst Atmospher Phys, State Key Lab Numer Modeling Atmospher Sci & Geop, Beijing 100029, Peoples R China
Zheng Weipeng
Yu Yongqiang
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机构:
Chinese Acad Sci, Inst Atmospher Phys, State Key Lab Numer Modeling Atmospher Sci & Geop, Beijing 100029, Peoples R ChinaChinese Acad Sci, Inst Atmospher Phys, State Key Lab Numer Modeling Atmospher Sci & Geop, Beijing 100029, Peoples R China
机构:Chinese Academy of Sciences,State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics, Institute of Atmospheric Physics
Weipeng Zheng
Yongqiang Yu
论文数: 0引用数: 0
h-index: 0
机构:Chinese Academy of Sciences,State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics, Institute of Atmospheric Physics
Yongqiang Yu
Advances in Atmospheric Sciences,
2013,
30
: 684
-
698