Persistent Solar Influence on North Atlantic Climate During the Holocene

American Association for the Advancement of Science (AAAS) - Tập 294 Số 5549 - Trang 2130-2136 - 2001
Gérard C. Bond1, Bernd Kromer2, J. Beer3, Raimund Muscheler3, Michael N. Evans4, William J. Showers5, S. S. Hoffmann1, Rusty Lotti‐Bond1, Irka Hajdas6, Georges Bonani6
1Lamont-Doherty Earth Observatory of Columbia University, Route 9W, Palisades, NY 10964, USA
2Heidelberg Academy of Sciences, Institute of Environmental Physics, INF 229, D-69120 Heidelberg, Germany.
3Eidgenössische Anstalt für Wasserversorgung, Abwasswerreinigung und Gewuässerschutz, Ueberlandstrasse 133, Postfach 611, CH-8600 Duebendorf, Switzerland.
4Laboratory of Tree-Ring Research, University of Arizona, 105 West Stadium, Tucson, AZ 8572, USA.
5Department of Marine, Earth and Atmospheric Sciences, North Carolina State University, 1125 Jordan Hall, Raleigh, NC 27695–8208, USA.
6Accelerator Mass Spectrometry

Tóm tắt

Surface winds and surface ocean hydrography in the subpolar North Atlantic appear to have been influenced by variations in solar output through the entire Holocene. The evidence comes from a close correlation between inferred changes in production rates of the cosmogenic nuclides carbon-14 and beryllium-10 and centennial to millennial time scale changes in proxies of drift ice measured in deep-sea sediment cores. A solar forcing mechanism therefore may underlie at least the Holocene segment of the North Atlantic's “1500-year” cycle. The surface hydrographic changes may have affected production of North Atlantic Deep Water, potentially providing an additional mechanism for amplifying the solar signals and transmitting them globally.

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Tài liệu tham khảo

10.1126/science.278.5341.1257

G. C. Bond et al. in Mechanisms of Global Climate Change at Millennial Time Scales P. Clark R. Webb L. D. Keigwin Eds. (Geophysical Monograph Series 112 American Geophysical Union Washington DC 1999) pp. 35–58.

M. Friedrich B. Kromer M. Spurk J. Hofmann K. Kaiser Quat. Int. 61 (1999).

10.1126/science.272.5264.981

10.1126/science.284.5412.305

J. Masarik J. Beer J. Geophys. Res. 104 D10 12099 (1999).

R. C. Finkel K. Nishiizumi J. Geophys. Res. 102 C12 26699 (1997).

F. Yiou et al. J. Geophys. Res. 102 C12 26783 (1997).

M. Stuiver et al. Radiocarbon 40 3 1041 (1998).

P. Reimer calculated a 14 C production rate for us from the INTCAL98 Δ 14 C tree-ring data set using a four-box carbon-cycling model (atmosphere oceanic mixed layer deep sea and the biosphere) from (40).

10.1029/96EO00259

Vautard R., Ghil M., Physica D58, 95 (1992).

A Blackman-Tuckey cross-spectral analysis (11) was applied to the smoothed and detrended records of 14 C and 10 Be production rates and to the detrended HSG in MC52-VM29-191 (shown graphically in Web fig. 2). For HSG and 10 Be 70-year sampling interval 95% confidence interval 48 lags and 0.000557 cycles/year bandwidth were used. Coherency in a 300- to 500-year band is 0.75 and in a 900- to 1100-year band is 0.93. For HSG and 14 C 70-year sampling interval 95% confidence interval 69 lags and 0.00039 bandwidth were used. Coherency in both the 300- to 500-year and 900- to 1100-year band is 0.84. We also used singular spectrum analyses (14) to decompose the same records into millennial (1000 to 2000 years) and centennial (300 to 500 years) components and found statistically significant coherence between the millennial components of the records. Singular spectrum analyses (SSA) were performed with an embedding dimension of 30 or 20 to 25% of the time-series lengths. Only the leading four to six empirical orthogonal functions which cumulatively described 75 to 80% of the variance in the detrended and smoothed records were retained in these analyses. Standard Fourier analyses were used to aggregate individual reconstructed component time series into the millennial- and submillennial-frequency time series. Quasi-coherences were then computed between these SSA time series corresponding to the solar and marine proxies. For the marine and 14 C records the coherency is 0.53 and is significant at >90% with nine effective degrees of freedom; for marine and 10 Be records the coherency is 0.74 and is significant at >95% with seven effective degrees of freedom; and for 10 Be and 14 C records the coherency is 0.76 and is significant at >95% with seven effective degrees of freedom. Coherence between submillennial components of the HSG and 14 C records of 0.23 with 17 effective degrees of freedom is not significant at the >90% level.

A box diffusion carbon cycle model (41) implies that a Δ 14 C increase of 25‰ in 100 years (equivalent to a production-rate increase of about 0.8 atoms cm −2 s −1 during the large century-scale events shown in Fig. 3B) would require a 50% reduction in global ocean mixing. Coupled climate–carbon cycle models suggest that even for large millennial-scale climatic variations such as during the Younger Dryas Δ 14 C would change only 10 to 40% (42); similarly carbon reservoir models suggest that a 30% change in production rate over ∼200 years would require a two-thirds reduction in global wind speeds relative to the current average (43). There is no evidence of such large ocean/climate forcing in the North Atlantic during the Holocene (1); the “8200-year” cold event regarded by some as the most extreme climatic event of the Holocene (44) does not stand out conspicuously in either the Δ 14 C or 10 Be records relative to Holocene baselines (Fig. 3 A and B) nor does the event at about 10 300 years ago which appears to be associated with a modest decrease in NADW production (1). It has been further demonstrated from box models that over the entire Holocene centennial-scale Δ 14 C changes calculated from a 10 Be-based 14 C production rate agree well in both amplitude and phasing (generally within several percent) with the measured Δ 14 C variations (45–47). Because 10 Be and 14 C have significantly different geochemical behavior it is highly unlikely that climate forcing alone could have produced such similar changes in the two nuclides. Over the last 7000 years centennial-scale variations in ice core 10 Be flux appear to correlate well between Greenland and Antarctica (48) also consistent with production as the dominant control.

10.1016/0033-5894(73)90040-9

S. R. O'Brien et al. Science 270 1962 (1995).

B. van Geel J. Buurman H. T. Waterbolk J. Quat. Sci. 11 6 451 (1996).

S. Björck et al. Geology in press.

10.1038/35077048

10.1126/science.274.5292.1504

10.1126/science.288.5474.2198

10.1126/science.286.5445.1709

10.1038/35000179

10.1126/science.1057759

10.1016/S1364-6826(98)00113-8

10.1029/JZ066i001p00273

10.1029/96JC03365

10.1126/science.286.5442.1132

M. Cane A. Clement in Mechanisms of Global Climate Change at Millennial Time Scales P. Clark R. Webb L. D. Keigwin Eds. (Geophysical Monograph Series 112 American Geophysical Union Washington DC 1999) pp. 373–383.

D. G. Martinson et al. Quat. Res. 27 1 1987.

10.1126/science.1064363

10.1038/17362

For a cooling of 0.5° to 1°C accompanying the increases in drift ice (1) δ 18 O would increase between 0.1 and 0.2‰ (49). Because the mean decrease in planktic δ 18 O in MC52-VM29-191 (Fig. 2) is about 0.3‰ a 0.4 to 0.5‰ decrease in δ 18 O due to salinity is required during each increase in drift ice. On the basis of the δ 18 O of seawater from near the coring site in (50) 1‰ δ 18 O of seawater = about 1.2 salinity units. Hence a salinity decrease of about 0.5 to 0.6 salinity units is required to account for the observed decrease in planktic δ 18 O at MC52-VM29-191.

10.1016/S0079-6611(97)00002-5

10.1175/1520-0442(2001)014<0656:TROIOI>2.0.CO;2

10.1098/rsta.1995.0071

10.1175/1520-0442(1994)007<0141:IVINAS>2.0.CO;2

10.1029/95GL03093

10.1029/97JC02907

10.3402/tellusa.v27i2.9900

10.1029/JC088iC06p03599

O. Marchal T. F. Stocker R. Muscheler Earth Planet. Sci. Lett. 185 383 ( 2001).

10.1038/338405a0

10.1130/0091-7613(1997)025<0483:HCIAPW>2.3.CO;2

10.1038/331675a0

10.1126/science.207.4426.11

10.1038/35046041

10.1180/minmag.1998.62A.2.307

10.1130/0016-7606(1953)64[1315:RCITS]2.0.CO;2

G. A. Schmidt G. R. Bigg E. J. Rohling. 1999. “Global Seawater Oxygen-18 Database” (www.giss.nasa.gov/data/o18data/).

U. Pflaumann et al. Paleoceanography in preparation.

S. Levitus R. Gelfeld NODC Inventory of Physical Oceanographic Profiles. Key to Oceanographic Records Documentation No. 18 (National Oceanographic Data Center Washington DC 1992).

10.1029/1998JC900103

10.3402/tellusb.v47i5.16077

10.1029/96JC03981

10.1038/331675a0

J. McManus D. Oppo L. Keigwin J. Cullen G. Bond Quat. Res. in press.

10.1038/371326a0

10.1016/S0277-3791(96)00114-X

10.1130/0091-7613(1999)027<0795:GIVFNA>2.3.CO;2

H. Lamb Climate History and the Modern World (Routledge London New York ed. 2 1995).

10.1126/science.282.5387.268

10.1029/98GL01177

10.1126/science.1058761

10.1029/1998GL900162

10.1175/1520-0485(2001)031<1287:FAPOTA>2.0.CO;2

L. Labeyrie et al. in Mechanisms of Global Climate Change at Millennial Time Scales P. Clark R. Webb L. D. Keigwin Eds. (Geophysical Monograph Series 112 American Geophysical Union Washington DC 1999) pp. 77–98.

10.1029/98PA00071

J.-C. Duplessy L. Labeyrie A. Juillet-Leclerc J. Duprat in The Last Deglaciation: Absolute and Radiocarbon Chronologies E. Bard W. S. Broecker Eds. (NATO ASI Series I: Global Environmental Change Springer-Verlag Berlin 1992) vol. 2 pp. 201–217.

Updated from M. Weinelt M. Sarnthein E. Jansen H. Erlenkeuser H. Schulz in The Younger Dryas S. Troelstra J. van Hinte G. M. Ganssen Eds. (North-Holland Amsterdam 1995) pp. 109-115 [M. Weinelt personal communication

sea-surface temperatures in this publication were estimated with the GLAMP 2000 method (51)].

Isarin R., Bohncke S., Ouat. Res. 51, 158 (1999).

10.1029/91JC01624

10.1126/science.286.5439.520

We thank J. Lynch-Stieglitz M. Cane R. Anderson G. Kukla J. Lean and D. Shindell for comments on the manuscript. This work was supported in part by grants from the National Science Foundation and from the National Oceanic and Atmospheric Administration. Support for the core curation facilities of the Lamont-Doherty Earth Observatory (LDEO) Deep-Sea Sample Repository is provided by the National Science Foundation (grant OCE00-02380) and the Office of Naval Research (grant N00014-96-I-0186). This is LDEO contribution 6272.