Quaternary Science Reviews 27 (2008) 2041–2047
Contents lists available at ScienceDirect
Quaternary Science Reviews
journal homepage: www.elsevier.com/locate/quascirev
A 4500-year reconstruction of sea surface temperature variability at decadal
time-scales off North Iceland
Marie-Alexandrine Sicre a, *, Pascal Yiou a, Jón Eirı́ksson b, Ullah Ezat a, Elwrick Guimbaut a,
Imane Dahhaoui a, Karen-Luise Knudsen c, Eystein Jansen d, Jean-Louis Turon e
a
Laboratoire des Sciences du Climat et de l’Environnement, IPSL, CNRS/CEA/UVSQ, Domaine du CNRS, Ave de la Terrasse, 91198 Gif-sur-Yvette, France
Earth Science Institute, University of Iceland, Askja, IS-101 Reykjavik, Iceland
Department of Earth Sciences, University of Aarhus, DK-8000 Aarhus C, Denmark
d
Bjerknes Centre for Climate Research, University of Bergen, Bergen, Norway
e
Département de Géologie et Océanographie, Université de Bordeaux I, Talence, France
b
c
a r t i c l e i n f o
a b s t r a c t
Article history:
Received 30 January 2008
Received in revised form 13 August 2008
Accepted 19 August 2008
Marine paleo-records acquired at high temporal resolution provide critical data for testing numerical
climate models and help to understand processes underlying ocean variability. This study presents
a unique 4500-year reconstruction of sea surface temperature (SST) obtained from alkenones in the
North Atlantic Polar Front area off North Iceland, at an average temporal resolution of 4–5 years. Spectral
analysis of this signal shows dominant multidecadal oscillations which occurred with a stronger
amplitude between 2500 and 4200 years BP, hand in hand with fluctuations of bottom currents indicated
by paleomagnetic proxies. Contemporaneous large excursions of the Inter-tropical Convergence Zone
(ITCZ) are also recorded by the distant Cariaco titanium time series, suggesting a link with low latitude
Atlantic climate. We speculate that the oscillations reflect changes of the Meridional Overturning
Circulation (MOC) induced by increased ENSO activity.
Ó 2008 Elsevier Ltd. All rights reserved.
1. Introduction
Climate in Europe is modulated by the northward transport of
heat and moisture by the North Atlantic Current (NAC). Any change
of this transport will impact on the winter temperature and
precipitation patterns of northwestern European countries
(Visbeck, 2002). Consequently, it is important to improve the
understanding of the role of the ocean in broad-scale climate
changes and the physical mechanisms underlying them, if we want
to improve predictions. Advances in model performance and
increased observational capacity have concurred to foster our
comprehension of ocean variability over the past few decades to
centuries. Yet, reliable quantification over longer time-scales
remains a major challenge for climate research. Knowledge can be
gained from palaeo-data but high-resolution and high-quality
multi-proxy time series of the surface and deep ocean circulation
need to be developed further. In the past few years, major efforts
have been made to better describe marked changes of the past
millennium, like the Medieval Warm Period (MWP) and the Little
Ice Age (LIA) (Keigwin, 1996; Keigwin and Pickart, 1999; deMenocal
et al., 2000; Eirı́ksson et al., 2006; Lund et al., 2006), or ocean
* Corresponding author. Tel.: þ33 1 69 82 43 34; fax: þ33 1 69 82 35 68.
E-mail address: sicre@lsce.ipsl.fr (M.-A. Sicre).
0277-3791/$ – see front matter Ó 2008 Elsevier Ltd. All rights reserved.
doi:10.1016/j.quascirev.2008.08.009
circulation perturbed states such as the 8200 year BP melt water
event (Ellison et al., 2006). Other studies have produced Holocene
records at increasing temporal resolution to document the surface
ocean variability, but few have achieved characteristic time-scales
of the atmosphere/ocean coupling and the Meridional Overturning
Circulation (MOC), i.e. decadal to centennial (Risebrobakken et al.,
2003; Cronin et al., 2003, 2005; Black et al., 2007; Sicre et al., 2008).
The MOC is affected by the North Atlantic Oscillation (NAO) (Latif
et al., 2006), the dominant pattern of atmospheric variability in midlatitudes North Atlantic (Hurrell, 1995). The NAO and associated
wind fields alter the surface ocean buoyancy which in turn affect the
convective activity of major regions of deep-water formation, i.e. the
Labrador, Irminger and Greenland seas, as well as sea ice dynamics
(Dickson et al., 1996). The northern North Atlantic is thus a key
region for investigating MOC variability and its links to NAO.
Shelf sediments off North Iceland, characterized by high sedimentation rates, provide exceptional archives to capture surface
ocean variability at decadal time-scales, and thus represent ideal
sedimentary settings to undertake such studies. Furthermore, the
presence of well-known tephra layers from volcanic eruptions in
Iceland has allowed developing accurate tephro-chronological age
models on marine cores (cf. Larsen et al., 2002; Eirı́ksson et al.,
2004), thus reducing uncertainties associated with radiocarbon
dating of marine calcite.
2042
M.-A. Sicre et al. / Quaternary Science Reviews 27 (2008) 2041–2047
The present study extends the 0–2000 year alkenone SST record
published by Sicre et al. (2008) in order to investigate mid-Holocene ocean variability, when large amplitude shifts of the ITCZ are
seen in the Cariaco basin (Haug et al., 2001). An SST time series of
the last decades obtained from box-core sediments is also presented and compared to instrumental data to evaluate the reliability of our proxy reconstruction.
2. Materials and methods
2.1. Core location and oceanographic setting
The MD99-2275 core (66 33N; 1742W, 470 m water depth) was
retrieved on the North Icelandic shelf (Fig. 1) during the 1999 North
Atlantic IMAGES cruise on the R/V Marion Dufresne. Because the top
of the core is lost during normal coring operation due to overpenetration of the Calypso corer, a box-core (BO5-2006-GBC03C;
66 33.18N; 1742.04W) was retrieved in 2006 (Millennium project,
R/V Bjarni Sæmundson B05-2006 cruise) to recover recent sediments in the same site.
The mean sedimentation rate over the Holocene is on the order
of 250 cm/1000 years. To resolve temperature changes at subdecadal temporal resolution, the MD99-2275 core was continuously sampled at 1-cm sampling step, corresponding to a temporal
resolution of 2–5 years. As can been seen from Fig. 1, the coring site
is located close to the marine polar front, in a climatically sensitive
area where two important components of the North Atlantic
circulation mix, i.e. the warm and salty waters of the Irminger
Current (IC), a branch of the NAC, and the cold and low-salinity
southward flowing waters of the East Greenland Current (EGC)
(Østerhus et al., 2005). The surface hydrology is also affected by sea
ice and drifting ice exported from the Arctic Ocean and East
Greenland.
Table 1
Depth in centimeters (cm), ages in year cal. BP and in year AD of the tephra layers
identified in core MD99-2275 used to build the age model
Depth (cm)
Age (cal. BP)
Age (AD/BC)
Marker horizons
101
179
209
239
275
321
460
687
941
1552
230
470
540
650
850
1080
1818
2980
4200
7125
1720
1480
1410
1300
1100
870
132
1030
2250
5175
Veidivötn AD 1717
Veidivötn AD 1477
Veidivötn AD 1410
Hekla AD 1300
Hekla AD 1104
Settlement layer
Snæfellsjökull I
Hekla 3
Hekla 4
Hekla 5
2.2. Age model
The tephro-chronological age model of the MD99-2275 core is
described in detail by Eirı́ksson et al. (2004). The list of tephra
layers used to build the age model for the past 4500 years is given
in Table 1. The age of the core-top has been estimated to be 1950
AD. The age control for box-core B05-2006-GBC03C (abbreviated
as GBC03C) is based on 210Pb and 137Cs measurements of a multicore (B05-2006-MC04C) from the same site. This core has been
dated using a modified CRS-model (Appleby, 2001). The results of
this dating are given in Table 2. The lowest level with measurable
content of 137Cs (22.5 cm) is dated to 1953 which is in excellent
agreement with the first releases of this isotope in nature (1954),
adding confidence to the dating result. There are irregularities in
the topmost 10 cm of the unsupported 210Pb profile, which may
be due to changes in sedimentation rate or to physical disturbances. In that case the dating of the uppermost part of the core
is associated with some unknown error. Ages are expressed in
Fig. 1. Map showing the location and core sites used in this study: MD99-2275 (66 33N; 1742W) and BO5-2006-GBC03C (66 33.18N; 1742.04W). The main surface currents are
indicated by the arrows (modified after Hurdle, 1986).
M.-A. Sicre et al. / Quaternary Science Reviews 27 (2008) 2041–2047
2043
the methodology and interpretation of the magnetic results can be
found in Rousse et al. (2006).
Table 2
Dating model used for the B05-2006-GBC03C box-core
Depth (cm)
Age (cal. BP)
Age (AD)
0.5
1.5
2.5
3.5
4.5
5.5
6.5
7.5
8.5
9.5
10.5
11.5
12.5
13.5
14.5
15.5
16.5
17.5
18.5
19.5
20.5
21.5
22.5
55.2
53.6
52
50.7
49.3
48
46
44
42
39
35.5
32
27.25
22.5
17.75
13
9.7
6.3
3
0
3.3
6.7
10
2005
2004
2002
2001
1999
1998
1996
1994
1992
1989
1986
1982
1977
1973
1968
1963
1960
1956
1953
1950
1947
1943
1940
2.4. Alkenone determination
0
years Before Present (BP; with 0 year BP ¼ 1950 years AD) for the
MD99-2275 core, and years AD for the GBC03C core.
2.3. Magnetic parameters
Anysteretic remanent magnetization (ARM), isothermal remanent magnetization (IRM) and volumic low field susceptibility (k)
were measured along the MD99-2275 core using a pass-through
high-resolution cryogenic magnetometer with DC-SQUIDs that is
housed in a shielded room at LSCE. As earlier discussed by Rousse
et al. (2006), the magnetic mineralogy is uniformly made of
magnetites, thus allowing to use ARM/k or ARM/IRM ratios to
deduce changes in the magnetite grain size, and ARM, the
concentration of fine grain magnetites. These parameters were thus
used in the MD99-2275 core as proxies of bottom current changes
to identify time span of major ocean circulation changes. Details on
SSTs were calculated from the alkenone unsaturation index, UK
37 ,
which is now a well-established tool in paleoceanography (Conte
et al., 2006), using the widely applied calibration of Prahl et al.
(1988). The C37 alkenone distribution was dominated by the C37:3,
with C37:4 representing less than 1% of the total C37 ketones,
including for the coldest SST values of the record (w6 C), justifying
0
K
further the choice of UK
37 rather than U37 to derive SSTs (Sicre et al.,
2002; Bendle and Rosell-Melé, 2004). Chemical analyses were
performed following the procedure described by Ternois et al.
(1996). Briefly, lipids were extracted from 1.5 g of freeze-dried
sediments by a mixture of CH3OH:CH2Cl2 (1:2 v/v) in an ultra-sonic
bath for 15 min, then centrifuged at 1000 rpm for 15 min and
transferred in a pear-shaped flask. Alkenones were isolated by
silica-gel chromatography using solvent mixtures of increasing
polarity. They were then analyzed by gas chromatography (GC) on
a Varian 3400 CX Series gas chromatograph. The oven was
temperature programmed from 100 C to 300 C at a rate of 20 C/
min. The temperature injector was programmed from 250 C to
260 C and of the Flame Ionization Detector (FID) set to 320 C. We
used a 50 m long capillary fused silica column CPSil-5CB, with
a 0.32 mm internal diameter and 0.25 mm film thickness. A known
amount of 5a-cholestane was added to the alkenone fraction prior
to GC injection for quantitation. Concentrations of the (C37:2 þ C37:3)
alkenones varied from 0.02 to 7 mg/g, which fall within the range of
coastal sediment levels, including upwellings (Martinez et al., 1996).
3. Results
Water column studies, based on sediment traps and hydrocasts,
have shown that alkenones in polar oceans are mainly produced
during the summer season (Sikes et al., 1997; Ternois et al., 1998;
Sicre et al., 2002). This implies that the SST reconstruction off North
Iceland likely reflects summer conditions. Possible bias by advection of CwarmD detrital alkenones by surface currents was found to
be negligible (Sicre et al., 2008). As shown in Fig. 2, the North
12
11
Alkenone SSTs in °C
10
9
8
7
6
tephras
5
4
0
1000
2000
3000
4000
Age in years BP
Fig. 2. Alkenone derived Sea surface temperature (SST) estimates over the past 4500 years in the MD99-2275 core. The calibration established by Prahl et al. (1988) was used to
0
convert UK37 into SSTs. Black diamonds indicate tephra layers identified and used to build the age model. The red curve represents the 10-point running mean of the data.
2044
M.-A. Sicre et al. / Quaternary Science Reviews 27 (2008) 2041–2047
Icelandic SSTs over the last 4500 years vary from w11 C to w6 C
with strong high frequency variability. These values are comparable
to the summer SSTs reconstructed by Jiang et al. (2005) using
diatom distributions over the last 2000 years in the same core. The
10-point running mean (red curve in Fig. 2) shows a warming
tendency between w4200 year BP and w2500 year BP, followed by
a cooling towards present, except for a 3–4 century duration
warmer interval which includes the MWP. This climatic anomaly is
distinguished by a stepwise increase of 1–1.5 C around 1000 year
BP and an abrupt decline at w600 year BP, marking the onset of
a cold period which encompasses the LIA.
The temporal characteristics of the SST signal were quantified by
a continuous wavelet analysis (using Morlet wavelet) (Yiou et al.,
1996). Spectral power was also computed with a multi-taper
method (e.g. Ghil et al., 2002) to estimate the statistical significance
of frequency peaks. Results of these calculations indicate significant
variability at multidecadal (centered w150 years) and to a lesser
extent at bidecadal (20–25 years) time-scales, both of which are
discussed in the next sections (Fig. 3).
SSTs reconstructed over the last 70 years from the GBC03C boxcore vary from 7.5 C to 10.5 C and also depict short-term oscillations of similar amplitude (Fig. 4b). These estimates are consistent
with the recent compilation of in situ data produced by Hanna et al.
(2006), reporting that since 1874, July and August SSTs measured
from the nearby Grimsey island have varied between 6.7 C and
9 C (see Table 3 in Hanna et al., 2006). However, the latter values
are summer month averages over 20–25 year time periods, but
higher frequency measurements indicate summer values occasionally reaching 11 C. From this comparison we can conclude that
alkenones reliably reproduce the temperature range of instrumental data for summer. It is worthy to note that, on average, these
values are w2 C above the MD99-2275 core-top values and
comparable to the MWP, suggesting a warming of the surface
waters over the last decades to century. The SST offset between the
top of MD99-2275 and bottom of GBC03C may indicate that the two
cores do not overlap, and that the top of the MD99-2275 is older
than 1950 AD. Additional coring and dating of recent sediments will
be necessary for the construction of a box-core MD99-2275
composite.
4. Discussion
4.1. Bidecadal variability
Bidecadal variability in the North Icelandic SST signal has been
reported as the dominant oscillation mode over the last 2000 years,
though expressing intermittently, while multidecadal oscillations
were poorly characterized (Sicre et al., 2008). In this extended
record, multidecadal excursions are more significant, in particular
between 4200 and 2500 year BP. Yet, the 20–25 year period
remains important. Interestingly, SSTs reconstructed over the last
70 years from the GBC03C core show four major oscillations, each
one of roughly 20-year duration (Fig. 4b). The first two cycles depict
a slight cooling ending by a temperature minimum of 7.7 C, while
Fig. 3. Results of spectral analyses of alkenone derived sea surface temperature times series over the past 4500 years, in the MD99-2275 core (a). (b) Continuous wavelet analysis of
the data was performed using a Morlet wavelet (Yiou et al., 1996). (c) Spectral power was computed with a multi-taper method (Ghil et al., 2002) to estimate significance of peaks.
Red noise tests were performed in order to assess the significance of the particular frequencies/periods present in the SST time series. The colored lines indicate the confidence
interval for red noise tests. (For interpretation of the references to color in this figure legend, the reader is referred to the web version of this article.)
M.-A. Sicre et al. / Quaternary Science Reviews 27 (2008) 2041–2047
NAO index
a
1925
3.0
1935
1945
1955
1965
1975
1985
1995
2005
2.0
Alkenone SSTs in˚C
convection, which lead us to conjecture that bidecadal SST variability off North Iceland could be MOC driven.
4.2. Multidecadal variability
1.0
0.0
-1.0
-2.0
b
2045
11
10
9
8
GSA
7
1925
1935
1945
1955
1965
1975
1985
1995
2005
Age in years
Fig. 4. Comparison of (a) the winter NAO index values smooth with a 10 year
running mean and (b) alkenone sea surface temperature (SSTs) from the box-core
BCO5-2006-GBC03C.
the next two tend to warmer values, w10.6 C, in 1996. The severe
cooling of the late 1960s coincides with the Great Salinity Anomaly
(GSA), a massive intrusion of Arctic polar waters and sea ice. At that
time, a high pressure anomaly had increased to a maximum over
Greenland producing strong northerly winds over the Greenland
and Iceland seas, thus intensifying the EGC and spreading drifting
ice southward into the sub-polar Atlantic (Dickson et al., 1996). The
concomitant northeast shift of the Icelandic low and storm activity
northwest of Iceland were concurrent factors enhancing the inflow
of Arctic waters. Conversely, in the following years the Icelandic
low was centered over Iceland and South Greenland, and southerly
winds were more frequent. According to the recent study of
Logemann and Harms (2006), reduced northerly winds/enhanced
southerly winds favor higher transport rates of Irminger Current
across the Denmark Strait leading to positive SST anomalies of the
North Iceland shelf waters, that could account for rising SSTs after
the GSA.
Over the last 70 years, the NAO index experienced a major
decadal shift: values decrease from the 1930s to the late 1960s and
then increase until the mid-1990s (Fig. 4a). The comparison
between Fig. 4a and b suggests a link between decadal SST variations and decadal NAO variations. We hypothesize that the SST
cooling from 1925 to 1968, and subsequent warming up to 1996 are
induced by the low frequency NAO forcing. Intermittent 20–25 year
period oscillations along the MD99-2275 record could subsequently reflect the ocean response to periods of sustained NAO
forcing, either in positive or negative phases. However, the accuracy
of the sedimentary age model does not allow discussing at the year
level the lead/lad relationship between the two records. Bidecadal
variability has also been reported in the Mg/Ca and oxygen isotope
records of ostracode shells of the Late Holocene estuarine sediments of Chesapeake Bay and attributed to NAO by Cronin et al.
(2005). In a recent study, Latif et al. (2006) have shown, using
hydrographic data and model results, that low frequency variability
of NAO can induce MOC changes through the Labrador Sea
Significant variance in the 50–150 year band dominates in the
w2500–4400 year BP time interval. Multidecadal variability has
been identified in modelling studies (Delworth et al., 1993;
Delworth and Greatbach, 2000) and also seems to be a robust
feature in globally distributed instrumental and proxy records over
several centuries (Schlesinger and Ramankutty, 1994; Kushnir,
1994; Kaplan et al., 1998). This mode of variability has been linked
to the MOC internal variability, although the dominant period
differs between models, i.e. centered on 50 years in Delworth et al.
(1997) and of about 35 years in Timmermann et al. (1998). Recently,
wavelet analysis of the natural variability of the MOC simulated
over 1600 years by the HadCM3 model identified maximum variance at time-scale of 10–30 years and predominantly of 70–200
years (Vellinga and Wu, 2004), a result that comes close to our data
analysis.
Few marine Holocene records from the Nordic Seas have
documented the occurrence of SST oscillations at centennial timescale (Jiang et al., 2005; Bendle and Rosell-Melé, 2007). Yet, the
lower temporal resolution of these time series, which additionally
are based on 14C dating in a region of important reservoir age
variability, prevents from decadal to sub-centennial scale correlations and investigation of forcing mechanisms of the ocean
dynamics. In the Norwegian sea, where reservoir age variations are
less significant, no major SST variations are recorded at the scale of
the last 4000 years (Calvo et al., 2002; Risebrobakken et al., 2003)
emphasizing the extreme sensibility of the northern Iceland
oceanic domain to climatological changes.
The high-resolution titanium (Ti) record of the ODP 1002 core
from the anoxic Cariaco Basin of the Southern Caribbean (10 42N,
6510W, 893 m) is of interest for comparison to our record. This low
latitude climatic signal has been interpreted as a proxy of rainfall/
fluvial inputs to the basin, driven by the N–S movements of the
inter-tropical Convergence Zone (ITCZ) (Haug et al., 2001). Lower
%Ti values indicate drier conditions and a more southern position of
the ITCZ, while higher %Ti occur during wet conditions, when the
ITCZ is more northern. Comparison with our data shows that major
shifts of the ITCZ are contemporaneous to the large variations of the
magnetic parameters (ARM and ARM/k) and multidecadal SST
oscillations (Fig. 5). Episodes of coarser sediments, indicative of
more vigorous bottom currents, coincide with a northerly position
of the ITCZ, and a stronger phase of MOC. Enhanced transport by
MOC creates a cross-equatorial SST gradient which causes the
displacement of the ITCZ to the North (Vellinga et al., 2001). This
shift in turn generates a negative freshwater anomaly that propagates to high latitude sinking regions thus starting to reverse the
process, i.e. to slowdown the MOC, and completing a multidecadal
oscillation. The large amplitude multidecadal SST variations,
between 4200 and 2500 year BP, could thus be MOC driven and
reflect alteration of the hydrological cycle in the tropical Atlantic.
The MOC is sensitive to perturbations of the freshwater balance
in the tropics because it influences the surface ocean density of the
tropical Atlantic, and can then trigger climate variations at high
latitudes (Vellinga and Wu, 2004). Today, there is a net export of
freshwater from the tropical Atlantic to the Pacific Ocean through
the atmosphere. According to Schmittner et al. (2000), this export
flux can be modified by ENSO (El Niño Southern Oscillation) and
induce changes in the Atlantic MOC. During El Niño years, more
freshwater would be exported from the Atlantic to the Pacific, while
during La Niña years this water export is decreased. The sensitivity
experiments performed by Schmittner et al. (2000) using a coupled
ocean–atmosphere model indicate that MOC is increased for larger
2046
M.-A. Sicre et al. / Quaternary Science Reviews 27 (2008) 2041–2047
12
0
1
2
3
4
a
10
0.55
8
0.45
0.35
6
b
0.25
North 4
0.15
ITCZ
0.05
Cariaco basin, 10˚42N; 65W
ARM/k
South
0
c
400
150
800
200
1000
d
1200
ARM (10-3 A/m)
600
ARM / K
Less fine
grains
200
100
250
Fine
grains
ARM (10-3 A/m)
0
50
Coarse
grains
% Titamium
Alkenone SSTs in °C
MD99-2275, 66˚33N; 17˚42W
More fine
grains
1400
300
1600
350
0
1
2
3
4
Age in kyears BP
Fig. 5. Comparison of (a) sea surface temperatures derived from alkenone over the last 4500 year from MD99-2275 core, (b) bulk titanium content of the Cariaco basin sediments
from the ODP site 1002 (Haug et al., 2001), (c) the pink curve shows the anysteretic remanent magnetization (ARM) values, and (d) the dark blue curve plots show the anysteretic
remanent magnetization over and volumic low field susceptibility (k), (ARM/k) ratio values, from Rousse et al. (2006). Blue shades areas indicate time span of large fluctuations in
the proxy records. (For interpretation of the references to color in this figure legend, the reader is referred to the web version of this article.)
freshwater export out of the Atlantic, i.e. for stronger El Niño and/or
longer persistence of the perturbation (i.e. in a mean climate state
shifted to more frequent El Niño events).
To investigate further the possible role of ENSO on the MOC
variability during the mid-Holocene, our data were compared to
the high-resolution record of storm-derived deposits from Laguna
Pallcacocha (Ecuador), which provides a unique high-resolution
description of El Niño events over the last 15,000 years (Rodbell
et al., 1999). This record establishes that the periodicity of El Niño
was >15 years in Late glacial to early Holocene. Modern El Niño
periodicity of 2–8.5 years became most apparent after 5000 years,
in particular between 5000 and 2500 year BP when both strength
and frequency increased (see Fig. 5 in Rodbell et al., 1999). As discussed by Haug et al. (2001), the large oscillations seen in the %Ti
record at Cariaco at the time of this marked increase of ENSO
activity could reveal a dynamical link between the two regions.
Warm ENSO phases, by increasing freshwater export from the
Atlantic would have generated salinity anomalies in the tropical
Atlantic, thus affecting high latitudes sinking regions and subsequently the MOC and ITCZ dynamics. We speculate that the strong
multidecadal SST variability off North Iceland between 4200 and
2500 years results from the hydroclimatic links between ENSO, the
North Atlantic freshwater budget and the MOC.
5. Conclusions
In this study, we generated a unique 4500-year SSTs record at
2–5-year temporal resolution for the high-latitude North Atlantic,
in the oceanographic Polar Front area off North of Iceland, to
explore ocean variability at decadal time-scale from mid- to Late
Holocene. Spectral analysis of this signal reveals two modes of
strong variance, at bi- and multidecadal time-scales, with strong
and weak phases along the record.
Our results suggest that low frequency NAO forcing could be
responsible for the bidecadal variability of SSTs in our record.
However, the occurrence of large amplitude multidecadal oscillations of SSTs between 4200 and 2500 year BP, coeval to major shifts
of the paleomagnetic parameters requires a different explanation.
The distant high-resolution %Ti record from Cariaco Basin and the
gray-scale of Pallcacocha sediments suggest a dynamic link
between the hydrological cycle of the tropical Atlantic/Pacific
oceans and the high-latitude North Atlantic variability. Enhanced
frequency and strength of El Niño warm phases, by increasing the
freshwater export flux from the Atlantic, could have triggered MOC
variability during this period of the mid-Holocene.
Acknowledgements
We are grateful to the IPEV for logistical assistance during the
IMAGES cruise in 1999 and to the crew of the research vessel
Marion Dufresne, with a special mention to Yvon Balut for the
development and operation of the Calypso corer during all these
years. We also thank CNRS (Centre National de la Recherche
Scientifique) for salary support. This paper is a contribution of the
PACTHOL project funded by the French LEFE program supported by
INSU (Institut National de l’Univers), the PACLIVA project funded by
the European Union 5th Framework Programme (Contract EVK22002-00143), and the Millennium project funded by the European
M.-A. Sicre et al. / Quaternary Science Reviews 27 (2008) 2041–2047
Union 6th Framework Programme (Contract No. EVK-CT-2006017008). This is LSCE contribution number 3124.
References
Appleby, P.G., 2001. Chronostratigraphic techniques in recent sediments. In: Last, W.M.,
Smol, J.P. (Eds.), Tracking Environmental Change using Lake Sediments. Basin
Analysis, Coring and Chronological Techniques, vol. 1. Kluwer Academic Publishers,
The Netherlands.
0
K
Bendle, J., Rosell-Melé, A., 2004. Distributions of UK
37 and U37 in the surface
waters and sediments of the Nordic Seas: implications for paleoceanography.
Geochem. Geophys. Geosyst. 5. doi:10.1029/2004GC000741 Q11013.
Bendle, J., Rosell-Melé, A., 2007. High-resolution alkenone sea surface temperature
variability on the North Icelandic Shelf: implications for Nordic Seas palaeoclimatic development during the Holocene. The Holocene 17, 9–24.
Black, D.E., Abahazi, M.A., Thunnel, R.C., Kaplan, A., Tappa, E.J., Peterson, L.C., 2007.
An 8-century tropical Atlantic SST record from the Cariaco Basin: baseline
variability, twentieth-century warming, and Atlantic hurricane frequency.
Paleoceanography 22. doi:10.1029/2007001427 PA4204.
Calvo, E., Grimalt, J., Jansen, E., 2002. High-resolution UK
37 sea surface temperature
reconstruction in the Norwegian Sea during the Holocene. Quat. Sci. Rev. 21,
1385–1394.
Conte, M.H., Sicre, M.-A., Rühlemann, C., Weber, J.C., Shultz-Bull, D., Blanz, T., 2006.
0
Global temperature calibration of the alkenone unsaturation index (UK
37 ) in
surface waters and comparison with surface sediments. Geochem. Geophys.
Geosyst. 7 (2). doi:10.1029/2005GC001054.
Cronin, M.T., Dwyer, G.S., Kamiya, T., Schwede, S., Willard, D.A., 2003. Medieval
Warm Period, Little Ice Age and 20th century temperature variability from
Chesapeake Bay. Global Planet. Change 36, 17–29.
Cronin, M.T., Thunell, R., Dwyer, G.S., Saenger, C., Mann, M.E., Vann, C., Seal II, R.R.,
2005. Multi-proxy evidence of Holocene climate variability from estuarine
sediments, eastern North America. Paleoceanography 20. doi:10.1029/
2005PA001145.
Delworth, T.L., Greatbach, R.J., 2000. Multidecadal thermohaline circulation variability driven by atmospheric surface flux forcing. J. Climate 13, 1481–1495.
Delworth, T.L., Manabe, S., Stouffer, R.J., 1993. Interdecadal variations of the thermohaline circulation in a coupled ocean–atmosphere model. J. Climate 6,
1993–2011.
Delworth, T.L., Manabe, S., Stouffer, R.J., 1997. Multidecadal climate variability in the
Greenland Sea and the surrounding regions: a coupled model simulation.
Geophys. Res. Lett. 24, 257–260.
Dickson, R., Lazier, J., Meincke, J., Rhines, P., Swift, J., 1996. Long-term coordinated
changes in the convective activity of the North Atlantic. Prog. Oceanogr. 38,
241–295.
Eirı́ksson, J., Larsen, G., Knudsen, K.L., Heinemeier, J., Sı́monarson, L., 2004. Marine
reservoir age variability and water mass distribution in the Iceland Sea. Quat.
Sci. Rev. 23, 2247–2268.
Eirı́ksson, J., Bartels-Jónsdóttir, H.B., Cage, A.G., Gudmundsdóttir, E.R., KlitgaardKristensen, D., Marret, F., Rodrigues, T., Abrantes, F., Austin, W.E.N., Jiang, H.,
Knudsen, K.-L., Sejrup, H.-P., 2006. Variability of the North Atlantic Current
during the last 2000 years based on shelf bottom water and sea surface
temperatures along an open ocean/shallow marine transect in Western Europe.
The Holocene 16 (7), 1017–1029.
Ellison, R.C.W., Chapman, M.R., Hall, I.R., 2006. Surface and deep ocean interactions
during the cold climate event 8200 years ago. Science 312, 1929–1932.
Ghil, M., Allen, M.R., Dettinger, M.D., Ide, K., Kondrashov, D., Mann, M.E.,
Robertson, A.W., Saunders, A., Tian, Y., Varadi, F., Yiou, P., 2002. Advanced
spectral methods for climatic time series. Rev. Geophys. 40 (1), 1–41.
Hanna, E., Jonsson, T., Olafsson, J., Vladimarsson, H., 2006. Icelandic coastal sea
surface temperature records constructed: putting the pulse on Air–Sea–Climate
interactions in the Northern North Atlantic. Part I: comparison with HadISST1
open-ocean surface temperatures and preliminary analysis of long-term
patterns and anomalies of SSTs around Iceland. J. Climate 19, 5652–5666.
Haug, G.H., Hughen, K.A., Sigman, D.M., Peterson, L.C., Röhl, U., 2001. Southward
migration of the intertropical convergence zone through the Holocene. Science
293, 1304–1308.
Hurdle, B.G., 1986. The Nordic Seas. Springer Verlag, New York, 777 pp.
Hurrell, J.W., 1995. Decadal trends in the North Atlantic Oscillation: regional
temperature and precipitation. Science 269, 676–679.
Jiang, H., Eirı́ksson, J., Schulz, M., Knudsen, K.-L., Seidenkrantz, M.-S., 2005. Evidence
for solar forcing of sea-surface temperature on the North Icelandic Shelf during
the late Holocene. Geology 33, 73–76.
2047
Kaplan, A., Cane, M.A., Kushnir, Y., Clement, A.C., Blumenthal, M.B., Rajagopalan, B.,
1998. Analyses of global sea surface temperature 1856–1991. J. Geophys. Res.
103, 18,567–18,589.
Keigwin, L.D., 1996. The Little Ice Age and Medieval warm period in the Sargasso
Sea. Science 274, 1504–1507.
Keigwin, L.D., Pickart, R.S., 1999. Slope water current over the Laurentian Fan on
interannual to millennial time scale. Science 286, 520–523.
Kushnir, Y., 1994. Interdecadal variations in North Atlantic Sea surface temperature
and associated atmospheric conditions. J. Climate 7, 141–157.
Larsen, G., Eirı́ksson, J., Knudsen, K.L., Heinemeier, J., 2002. Correlation of late
Holocene terrestrial and marine tephra markers, north Iceland: implications for
reservoir age changes. Polar Res. 21, 283–290.
Latif, M., Böning, C., Willebrand, J., Biastoch, A., Dengg, J., Keenlyside, N.,
Schweckendiek, U., Madec, G., 2006. Is the thermohaline circulation changing?
J. Climate 19, 4631–4637.
Logemann, K., Harms, I.H., 2006. High resolution modelling of the North Icelandic
Irminger Current (NIIC). Ocean Sci. Discuss. 3, 1149–1189.
Lund, D.C., Lynch-Stieglitz, J., Curry, W.B., 2006. Gulf Stream density structure and
transport during the past millennium. Nature 444, 601–604.
Martinez, P., Bertrand, P., Bouloubassi, I., Bareille, G., Shimmield, G., Vautravers, B.,
Grousset, F., Guichard, S., Ternois, Y., Sicre, M.-A., 1996. An integrated view of
inorganic and organic biogeochemical indicators of palaeoproductivity changes
in a coastal upwelling area. Org. Geochem. 24, 411–420.
deMenocal, D., Ortiz, J., Guilderson, T., Sarthnein, M., 2000. Coherent high and
low-latitude variability during the Holocene warm period. Science 288,
2198–2202.
Østerhus, S., Turrell, W.R., Jonsson, S., Hansen, B., 2005. Measured volume, heat, and
salt fluxes from the Atlantic to the Arctic Mediterranean. Geophys. Res. Lett. 32,
doi:10.1029/2004GL022188.
Prahl, F.G., Muehlhausen, L.A., Zahnle, D.L., 1988. Further evaluation of long-chain
alkenones as indicators of paleoceanographic conditions. Geochim. Cosmochim.
Acta 52, 2303–2310.
Risebrobakken, B., Jansen, E., Andersson, C., Mjelde, E., Hevrøy, K., 2003. A highresolution study of Holocene paleoclimatic and paleoceanographic changes in
the Nordic Seas. Paleoceanography 18 (1), 1017. doi:10.1029/2002PA000764.
Rodbell, D.T., Seltzer, G.O., Anderson, D.M., Abbott, M.B., Enfield, D.B., Newman, J.H.,
1999. An w15,000-year record of El Niño-driven alluviation in Southwestern
Ecuador. Science 283, 516–520.
Rousse, S., Kissel, C., Laj, C., Eirı́ksson, J., Knudsen, K.L., 2006. Holocene Centennial
to Millennial-scale climatic variability: evidence from high-resolution
magnetic analysis of the last 10 cal kyr off North Iceland. Earth Planet. Sci.
Lett. 242, 390–405.
Schlesinger, M., Ramankutty, N., 1994. An oscillation in the global climate system of
period 65–70 years. Nature 367, 723–726.
Schmittner, A., Appenzeller, C., Stocker, T.F., 2000. Enhanced Atlantic freshwater
export during El Niño. Geophys. Res. Lett. 27, 1163–1166.
Sicre, M.-A., Bard, E., Ezat, U., Rostek, F., 2002. Alkenone distributions in the North
Atlantic and Nordic sea surface waters. Geochem. Geophys. Geosyst. 3 (2), 1–13.
2001GC000159.
Sicre, M.-A., Jacob, J., Ezat, U., Rousse, S., Kissel, C., Yiou, P., Eirı́ksson, J.,
Knudsen, K.L., Jansen, E., Turon, J.-L., 2008. Decadal variability of sea surface
temperatures off North Iceland over the last 2000 yrs. Earth Planet. Sci. Lett.
doi:10.1016/j.epsl.2008.01.011.
Sikes, E.L., Volkman, J.K., Robertson, L.G., Pichon, J.-J., 1997. Alkenones and alkenes
in surface waters and sediments of the Southern Ocean: implications for
paleotemperature estimation in polar regions. Geochim. Cosmochim. Acta 61,
1495–1505.
Ternois, Y., Sicre, M.-A., Boireau, A., Marty, J.-C., Miquel, J.C., 1996. Production
pattern of alkenones in the Mediterranean Sea. Geophys. Res. Lett. 23,
3171–3174.
Ternois, Y., Sicre, M.-A., Boireau, A., Beaufort, L., Miquel, J.-C., Jeandel, C., 1998.
Hydrocarbons, sterols and alkenones in sinking particles in the Indian sector of
the Southern Ocean. Org. Geochem. 28, 489–501.
Timmermann, A., Latif, M., Voss, R., Grötzner, A., 1998. Northern hemispheric
interdecadal variability: a coupled air–sea mode. J. Climate 11, 1906–1931.
Vellinga, M., Wood, R.A., Gregory, J.M., 2001. Processes governing the recovery of
a perturbed thermohaline circulation in HadCM3. J. Climate 15, 764–780.
Vellinga, M., Wu, P., 2004. Low-latitude freshwater influence on centennial
variability of the Atlantic Thermohaline circulation. J. Climate 17, 4498–4511.
Visbeck, M., 2002. The ocean’s role in Atlantic climate variability. Science 297,
2223–2224.
Yiou, P., Baert, E., Loutre, M.F., 1996. Spectral analysis of climate data. Surv. Geophys.
17, 619–663.