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Penultimate deglacial warming across the Mediterranean Sea revealed by clumped isotopes in foraminifera

An Author Correction to this article was published on 26 August 2021

This article has been updated

Abstract

The variability of seawater temperature through time is a critical measure of climate change, yet its reconstruction remains problematic in many regions. Mg/Ca and oxygen isotope (δ18OC) measurements in foraminiferal carbonate shells can be combined to reconstruct seawater temperature and δ18O (δ18OSW). The latter is a measure of changes in local hydrology (e.g., precipitation/evaporation, freshwater inputs) and global ice volume. But diagenetic processes may affect foraminiferal Mg/Ca. This restricts its potential in many places, including the Mediterranean Sea, a strategic region for deciphering global climate and sea-level changes. High alkalinity/salinity conditions especially bias Mg/Ca temperatures in the eastern Mediterranean (eMed). Here we advance the understanding of both western Mediterranean (wMed) and eMed hydrographic variability through the penultimate glacial termination (TII) and last interglacial, by applying the clumped isotope (Δ47) paleothermometer to planktic foraminifera with a novel data-processing approach. Results suggest that North Atlantic cooling during Heinrich stadial 11 (HS11) affected surface-water temperatures much more in the wMed (during winter/spring) than in the eMed (during summer). The method’s paired Δ47 and δ18OC data also portray δ18OSW. These records reveal a clear HS11 freshwater signal, which attenuated toward the eMed, and also that last interglacial surface warming in the eMed was strongly amplified by water-column stratification during the deposition of the organic-rich (sapropel) interval known as S5.

Introduction

Sedimentary sequences from the Mediterranean Sea are excellent paleoclimate archives to resolve outstanding questions on Earth’s climate system, due to a unique understanding of terrestrial, oceanic, and atmospheric interactions in the basin1,2,3,4. So far, this has allowed (i) long term records of sea-level changes to be generated by exploiting the sensitivity of the seawater oxygen composition (δ18OSW, reflected in the oxygen stable isotope records of planktic foraminifera, δ18OC) to global sea-level variations5, and (ii) marine sediment records to be placed on absolute chronologies by using nearby speleotherm records2,6.

Although these approaches have substantially contributed to understanding of past climate changes2,5,6,7, the full potential of Mediterranean sequences as paleoclimate archives remains to be exploited because of problems with sea surface temperature reconstructions in the Mediterranean Sea using well-stablished proxies. First, the alkenone-based proxy (\({{\rm{U}}}_{37}^{{\rm{K}}^{\prime} }\), ref.8) may be excellent for reconstructing temperatures in the wMed, but is limited in the eMed by poor preservation of organic matter9. Also, alkenone-based reconstructions do not necessarily reflect the conditions (depth, season) in which the key planktic foraminiferal species calcified, which hinders the precision of corrections for the temperature component of δ18OC, to resolve δ18OSW. Second, the foraminiferal Mg/Ca method, which allows simultaneous reconstruction of temperature and δ18OSW using the same signal carrier10, is compromised under high alkalinity/salinity conditions, such as those in the eMed11 where conventional foraminiferal analyses are problematic12,13.

Here we use new developments concerning the clumped isotope paloethermometer14,15,16 (Δ47) to reconstruct temperatures and deconvolve δ18OSW in the Mediterranean Sea, through paired Δ47-δ18OC measurements in foraminiferal calcite17. The Δ47 relates the abundance of 13C-18O bonds in the calcite lattice to the temperature at which the calcite precipitates16 and increases as precipitation temperature decreases. This proxy is attractive for palaeoclimatic applications because: (i) state-of-the-art analytical instrumentation indicates that the Δ47-values of inorganic and biogenic calcites precipitated at the same temperature are consistent with one-another18,19,20, which suggests negligible vital effects15,18; and (ii) it does not require information on the chemistry of the seawater in which the foraminifera calcified15.

The temperature sensitivity of the Δ47 proxy is low19 (~0.003‰/°C). It therefore requires high measurement precision (~0.01‰, 1SE), which is commonly achieved by increasing counting times and/or the number of replicates analysed per sample21,22. While this is feasible for applications that use large carbonate samples (~5 mg per replicate), it is not realistic for foraminifer-based reconstructions because many hundreds of specimens would be required for a single measurement. However, recent development of a clumped isotope methodology (Δ47-small method23,24,25,26) has reduced the sample size for a precise Δ47 measurement, and thus made the proxy amenable for temperature reconstructions based on foraminifera17,27. The Δ47-small method uses a series of replicate carbonate analyses (~150 μg each Δ47-replicate) to perform multiple paired Δ47-δ18OC measurements, and combinations of these then yield average temperature and δ18OSW values17. The method considers that the Δ47 precision improves by increasing the number of paired Δ47-δ18OC measurements from the same and/or neighbour samples, and the potential of this approach for palaeoclimate reconstructions has been demonstrated previously17,28. However, there have been only few foraminiferal Δ47 records from this approach, with only few datapoints17,28. For broad utility in palaeoclimate research, more continuous records are needed to facilitate reconstructions of phase relationships between climatic forcing(s) and response(s).

Here we expand on the analytical improvements of the Δ47-small method24,25 by means of a new data-analysis approach that allows expressing Δ47-small data in records of much improved continuity (hereafter: non-traditional data-analysis). We use the non-traditional data-analysis approach to provide paired temperature and δ18OSW reconstructions from the wMed and the eMed. We target the penultimate glacial termination (TII) and the last interglacial period because this interval comprises two important climatic events: Heinrich Stadial 11 (HS11; 135–130 ka refs2,29) and Sapropel S5 (128.3–121.5 ka, ref.30). Using existing techniques, it has not been possible to assess the spatial impacts of these events on the Mediterranean hydrography. Moreover, reconstructions based on \({{\rm{U}}}_{37}^{{\rm{K}}^{\prime} }\) across this interval in the wMed show a consistent temperature evolution with a cooling step of 4 ± 2 °C (1σ) during HS11 (refs2,29), followed by warming of 11 ± 2 °C starting at ~130 ka (ref.29). These are ideal targets for testing our new foraminiferal Δ47-approach.

Results

Paired Δ47-δ18OC measurements in the western Mediterranean Sea

We first present the new paired records of δ18OC and Δ47-temperature in the wMed, using Ocean Drilling Program (ODP) Site 975 (ODP975, Fig. 1). We use the Δ47-temperature calibration from ref.19, which was established with the same equipment used here (Methods) and which has been recently confirmed by other laboratories20. Our ODP975 paired Δ47-δ18OC measurements (Fig. 2a,b) use the winter/spring surface-dwelling foraminifer Globigerina bulloides4. Initially, we generate a Δ47-temperature record using the traditional binning method that calculates weighted averages for ~10 Δ47-replicates that are clustered a-priori on the basis that they come from the same or close-neighbour (up to 1 kyr apart) samples (Methods). This gives a Δ47-temperature record (Fig. 2c, dots) of very low resolution, which nevertheless broadly depicts cooling associated with HS11 and subsequent warming into the last interglacial period. Results corroborate the reliability of the Δ47-small17,25,26 method in detecting glacial-interglacial temperature offsets.

Figure 1
figure1

Map and sediment core location. Mean annual sea surface temperature contour map created using http://odv.awi.de/ (ref.57) of the Mediterranean Sea with core locations (dots) and a schematic view of surface circulation.

Figure 2
figure2

Western Mediterranean temperature records across TII. ODP975 G. bulloides (a) δ18OC and (b) Δ47-replicates. (c) ODP975 G. bulloides Δ47-temperature record (red, Methods) using conventional Δ47-binning (dots) and non-traditional data-analysis approach (the median and the 95% and 68% confidence intervals (CI) of the 5,000 filtered simulations are shown as thick line, and light and dark red shadings, respectively). ODP976 \({{\rm{U}}}_{{\rm{E}}}^{{\rm{K}}^{\prime} }\) -temperature reconstruction is also shown in blue2,29. Light and dark blue shadings in (c) correspond to the 95% and 68% CI of 5,000 filtered Monte Carlo simulations of the \({{\rm{U}}}_{{\rm{E}}}^{{\rm{K}}^{\prime} }\)-temperature and ages within their (1σ) uncertainties. We also show the 95% CI of the 5,000 filtered simulations of the Δ47-replicates in (b). Red stars show ODP975 δ18OC (a) and Δ47-temperature (c) late-Holocene values. Gaps in the final Δ47-record correspond to intervals where the age uncertainties of the Δ47-replicates do not overlap.

For a more detailed assessment of the amplitude and timing of the events, we then apply our new, more thorough analysis of the Δ47-data (see Supplementary information for a detailed explanation and validation of this approach). In summary, we perform an outlier test on all samples with ≥5 Δ47-replicates. Then, we execute 5,000 Monte Carlo simulations of all the Δ47-replicates that remain after outlier removal. Each simulated dataset was converted into Δ47-temperature19, and a ~5 kyr moving Gaussian window (1σ = 0.8 kyr), stepping in 0.1 kyr increments, was applied to each simulation to highlight the main trends. By the end of these steps we have a total of 5,000 filtered Δ47-temperature simulations. The 50th percentile (median), and the 16th–84th and 2.5th–97.5th percentiles of these filtered simulations form our final record, 68% Confidence Interval (CI) and 95% CI, respectively (hereafter, results are discussed using the 68% CI). The resultant ODP975 Δ47-record documents a cooling step of ~6 ± 2 °C at ~135–130 ka, followed by a warming of 12 ± 3 °C. This is in agreement (within uncertainties) with the \({{\rm{U}}}_{37}^{{\rm{K}}^{\prime} }\)-temperature record from nearby ODP Site 976 (ODP976 ref.29), which has been previously synchronized with ODP975 (ref.2). This agreement is further emphasized when both reconstructions are normalized to the late-Holocene temperature value (Supplementary Fig. 1a), which eliminates biases related to different ecological preferences of the signal-carriers (e.g., depth habitat).

Combined with a late Holocene Δ47-temperature of 17 ± 2 °C (Fig. 2c), and its similarity to today’s spring/winter (~18/15 °C) temperatures31 at ODP975, the agreement with the nearby ODP976 \({{\rm{U}}}_{37}^{{\rm{K}}^{\prime} }\)-record (Fig. 2c and Supplementary Fig. 1a) instils confidence in the Δ47-small method25, calibration19, and non-traditional data-analysis approach (Methods). This agreement is especially obvious in intervals of ODP975 where closely spaced Δ47-replicates were available (notably, 140–129 ka, Supplementary Fig. 1a) because this facilitates outlier detection and allows significant estimated error reduction (Supplementary Fig. 2a–c). Intervals where Δ47-replicates are relatively scarce result in larger uncertainties (e.g., 125–122 ka, Supplementary Fig. 2a–c), but remain consistent with the ODP976 \({{\rm{U}}}_{37}^{{\rm{K}}^{\prime} }\)-record (Supplementary Fig. 1a). Intervals where no Δ47-replicates were available due to near-absence of G. bulloides, and the age uncertainties of neighbour samples do not overlap (e.g., 128–126 ka and ~118.5 ka in Fig. 2b), were removed from the final records to avoid overinterpretation of Δ47-interpolations across these gaps. Overall, we infer that the Δ47-method and data treatment used here delivers reliable records of temperature change at palaeoclimatically useful resolutions, especially as the density of Δ47-replicates increases.

Paired Δ47-δ18OC measurements in the eastern Mediterranean Sea

We applied the same procedure to two eMed cores, where use of traditional foraminifer-based geochemical methods is challenging12,13. Also, eMed \({{\rm{U}}}_{37}^{{\rm{K}}^{\prime} }\)-based reconstructions32,33 are of limited use for comparing with our Δ47-based results because eMed bottom waters switched from highly oxygenated to anoxic conditions across the studied interval7,32, which affected alkenone preservation and thus the reliability of \({{\rm{U}}}_{37}^{{\rm{K}}^{\prime} }\)-based reconstructions9. Hence, in the eMed we investigate whether Δ47-based reconstructions are spatially replicable, using the summer mixed-layer dwelling4 planktic foraminifer Globigerinoides ruber (white) in cores LC21 and ODP967 (Fig. 1), where similar climatic forcing conditions prevail.

Our eMed paired Δ4718OC measurements (Fig. 3a–c) show a gradual warming of 11 ± 3 °C and 15 ± 3 °C across TII at LC21 and ODP967 (Fig. 3d,e), respectively. At the LC21 site this warming is preceded by a brief ~4 ± 3 °C cooling at ~135 ka. We infer that this cooling is also evident in the ODP967 record, though its upward leg is not resolved because of a short gap at ~135–133ka (Fig. 3c and e). In general, the two eMed Δ47-records are consistent at the 95% CI (Fig. 4a). At 68% CI, however, local millennial-scale differences are observed (e.g., at ~130 ka), which result from an apparent slowdown of the warming trend at ODP967 across the interval of HS11. In contrast, the warming trend is more gradual and monotonic in the LC21 Δ47-record. A \({{\rm{U}}}_{37}^{{\rm{K}}^{\prime} }\)-based reconstruction32 from LC21 supports this gradual and monotonic warming trend across HS11, despite low resolution owing to poor organic matter preservation prior to the S5 sapropel30 ~128–122 ka (Fig. 4a). Hence, it appears that the eMed record of ODP967 shows some vestiges of the HS11 cooling that is so prominent in the wMed (Fig. 4b), while the eMed record of LC21 shows no trace of it.

Figure 3
figure3

Eastern Mediterranean temperature records across TII. LC21 (purple) and ODP967 (orange) G. ruber (a) δ18OC and (b,c) Δ47-replicates (shadings correspond to the 95% CI of the 5,000 filtered simulations of the Δ47-replicates). G. ruber Δ47-temperature records from (d) LC21 and (e) ODP967. Dots, thick lines, and shadings in (d,e) as in Fig. 2c. We also show in (a,d) the LC21δ18OC and Δ47- temperature late-Holocene values (purple star), respectively. Gaps in the final Δ47-records correspond to intervals where the age uncertainties of the Δ47-replicates do not overlap.

Figure 4
figure4

TII temperature and δ18OSW records across the Mediterranean Sea. (a) Nothern Hemisphere insolation record at 65°N (black) overlain on the LC21 (purple) and ODP967 (orange) Δ47- temperature, and LC21 \({{\rm{U}}}_{{\rm{E}}}^{{\rm{K}}^{\prime} }\)-temperature32 (using ref.6 age model) records from the eMed. (b) ODP975 G. bulloides Δ47-temperature record (red) and ice-rafted debris (Lithics 90–150 μm, %) concentrations from the Iberian Margin (blue39). (c) Freshwater fluxes into the North Atlantic (blue2) and ODP975 G. bulloides-δ18OSW (red). (d) G. ruber δ18OSW records from LC21 (purple) and ODP967 (orange). Dots, thick lines, and shadings as in Fig. 2c. LC21 Δ47 late-Holocene temperature (purple star). Gaps in the final Δ47-records correspond to intervals where the age uncertainties of the Δ47-replicates do not overlap. Blue box highlight the HS11.

Next, we compared both eMed Δ47-records to the 22 ± 2 °C late Holocene Δ47-temperature average for LC21 (Fig. 3d), which is similar to modern 0–30 m depth averages at both core sites31 (~23 °C). This reveals that temperatures at LC21 during the penultimate glacial maximum were on average lower than late Holocene values by ~4 ± 2 °C, in agreement with previous estimates of the Last Glacial Maximum-to-Present temperature gradient34 (Supplementary Fig. 1b). A similar temperature gradient is inferred at ODP967 (Supplementary Fig. 1c). Last interglacial temperatures, on the other hand, are found to have been consistently higher than late-Holocene values at both core sites (Supplementary Fig. 1b,c).

δ18OSW records from the Mediterranean Sea through TII and the last interglacial period

Mediterranean δ18OSW records derived from the paired Δ47-δ18OC data are shown in Fig. 4c,d. The ODP975 δ18OSW record (Fig. 4c) shows a ~2.8 ± 0.4‰ shift to lighter values from ~137 ka until ~128 ka, when surface-water δ18OSW progressively returned to values almost as high as the glacial ones (~3.4 ± 0.5‰). We infer a similarly large change towards lower values (~1.8 ± 0.6‰) at the beginning of TII for the OD967 δ18OSW record (Fig. 4d). However, at OD967 low surface δ18OSW conditions persisted after ~128 ka. In contrast, the LC21 δ18OSW record (Fig. 4d) only documents a muted ~1 ± 0.6‰ and transient (~2 kyr) change toward lower values at the beginning of TII. The most prominent shift of δ18OSW to lower values (~1.6 ± 0.5‰) at this site is observed from ~128 to ~126 ka, and generally low values then persist until ~122 ka.

Discussion

Hydrographic changes across the Mediterranean Sea

Our results offer a first quantification of west-to-east hydrographic developments in the Mediterranean Sea through a deglaciation. Focusing on temperature first, our Δ47-temperature record based on the summer mixed-layer species G. ruber for eMed site LC21 reveals a gradual, monotonic warming through TII that broadly follows the Northern Hemisphere insolation from 136 ka (Fig. 4a). This pattern is consistent with the globally widespread pattern of temperature change through TII as observed in Antarctica35, the Indo-Pacific warm pool36,37, and in the Arabian Sea38. TII temperature changes in the wMed, on the other hand, clearly show more similarity to those seen in the North Atlantic, with a notable (6 ± 2 °C) cooling at ~135–130 ka (Figs 2c and 4b). This temperature drop coincides with ice-rafted debris deposition at the Iberian Margin and within the wider North Atlantic39 (Fig. 4b), and with large meltwater fluxes into the North Atlantic (Fig. 4c), which together signal the occurrence of HS11 (ref.2).

At eMed Site ODP967, temperature changes through TII are slightly more complex. While the ODP967 Δ47-temperature record is broadly consistent with that from LC21 at the 95% confidence level, its warming from 136 ka onward is not gradual and monotonic as in LC21, but contains a plateau between 133 and 130 ka that delays the final warming into the interglacial, relative to LC21 (Fig. 4a). This plateau at ODP967 may be a muted expression of the HS11 cooling, which is completely absent at LC21. Because of the plateau, the delayed (~130–128 ka) warming into the interglacial in ODP967 shows a closer timing similarity with temperature records from the wMed than LC21; this final warming in ODP967 leads that in the wMed by ~1 kyr while LC21 leads the wMed by about ~3 kyr (Supplementary Figs 1c and 3a). From ~128 ka, when sapropel conditions developed, sea surface temperatures in the eMed became more homogeneous (Fig. 4a).

Overall, we reveal that Mediterranean responses to climate forcing during TII display considerable spatial complexity, especially between the wMed and eMed, but also (albeit not distinguishable within 95% confidence limits) within the eMed. During HS11, the wMed record shows considerably stronger cooling than the eMed records (Fig. 4a,b, Supplementary Figs 1a–c and 3a). This may (partly) reflect the fact that we had to rely on a species that predominantly records winter/spring conditions for the wMed, whereas we had to rely on a species more typical of summer conditions for the eMed4. Thus, we infer with confidence that there were, at least, strong seasonal contrasts in the expression of HS11 cooling within the Mediterranean, and more tentatively that there may have been a remarkable attenuation of HS11 cooling from the wMed to the eMed. If validated by further analyses, the latter gradient would imply that strong HS11 cooling in the wMed reflects dominant influences of the adjacent North Atlantic conditions, while weaker HS11 impacts in the eMed are reminiscent of the overall, underlying, insolation-driven pattern that is also seen in the relatively nearby (sub-)tropical Arabian Sea38.

The δ18OSW changes across the Mediterranean Sea also show considerable complexity (Fig. 4c,d). We infer that these records reflect a diverse response of the Mediterranean Sea to two sources (with distinctly different isotopic compositions) of freshwater input into the basin. One is from the North Atlantic at ~135–130 ka during HS11 (ref.2), and the other from the North African Margin32 at ~128.3–121.5 ka during the time of the Sapropel 5 (S5) deposition30. HS11 freshwater inputs from deglacial ice-sheet melting2 entered the Mediterranean Sea via the Strait of Gibraltar, reaching ODP975 where the δ18OSW record documents the largest change (~2.8 ± 0.4‰) of all the reconstructions (Fig. 4c,d). The δ18OSW data suggest that this freshwater anomaly progressively vanished along the path toward the eastern side of the basin, due to increasing evaporation and dense water formation close to the LC21 location7. This site is close to the Rhodes Gyre where intermediate water is formed7, which dilutes surface δ18OSW signals that are advected to the region over a 4 to 5 times more voluminous system. This trajectory resulted in reduced and almost absent δ18OSW anomalies at the sites of ODP967 and LC21 at ~135–130 ka, respectively. Interestingly, while their δ18OSW records are different (Fig. 4d), the Δ47-based temperature developments at ODP967 and LC21 are broadly similar, within uncertainties (Fig. 4a, Supplementary Fig. 3a,b). This is because general temperature signals can be rapidly adjusted over large regions through atmospheric conditions, whereas changes in δ18OSW rely on mixing of large regional gradients associated with particular freshwater fluxes. In more detail, more cool and low-δ18OSW water appears to have reached ODP967 than LC21 in the eMed during HS11, which suggests a sharp regional gradient between ODP967 and LC21 in the advection of surface waters from the wMed, or attenuation of the anomalies due to stronger mixing with ambient waters at LC21 than at ODP967. After the HS11 interval, the North African Monsoon intensified as Northern Hemisphere insolation peaked and the Intertropical Convergence Zone moved northward40,41. This delivered large amounts of freshwater into the eMed around ~128–122 ka, pre-conditioning the basin, through water-column stratification32,42, for organic-rich (sapropel) sediment deposition7. This is evidenced in our δ18OSW records by persistent fresh (low-δ18OSW) surface water conditions at ODP967 after HS11, along with initiation of surface freshening at the location of the LC21 also at ~128 ka (Fig. 4d).

Last interglacial surface warming across the Mediterranean Sea

Previous work has suggested that the increased discharge of monsoon-fueled freshwater into the eMed during the last interglacial period may have amplified surface warming by leading to a strongly stratified upper water column33. Our data show that surface temperatures in the eMed during the last interglacial were consistently higher than late-Holocene temperatures, by up to ~7 ± 4 °C (95% CI) (Supplementary Fig. 1b,c). This is especially evident at ~128 ka, at the onset of S5 (ref.30). Although the last interglacial was globally warmer than the Holocene, the warming we observe in the Mediterranean Sea is much larger than that in global averages43. A ~30% thinning of the summer mixed layer at the S5 onset (Supplementary Table 1), concentrating the radiative energy gain, provides a more likely mechanism to explain the ~7 ± 4 °C (95% CI) excess warming. Thus, our evidence supports the theory that the δ18OC anomaly in G. ruber across sapropels only partly reflects freshwater-induced δ18Osw changes, and for another part reflects anomalous warming of the restricted surface-water layer they inhabited33.

Our paired Δ47-δ18OC data provide the first insights into the eMed hydrographic responses to a prominent deglacial Heinrich stadial. It also provides novel observational support to the importance of temperature changes in the development of water-column stratification during sapropel formation33. We conclude that our Δ47 approach has potential to solve other climate-related questions that have remained elusive because of shortcomings in traditional temperature proxies, notably when non-traditional data-analysis is combined with ongoing analytical advances23.

Methods

Sediment core locations and age models

We used samples from wMed Ocean Drilling Program (ODP) Site 975 (ODP975, 38°53.8′N, 4°30.6′E, 2,415 m water depth), eMed core LC21 (Aegean Sea, 35°40′N, 26°35′E, 1,522 m water depth) and eMed ODP967 (Eratosthenes Seamount, 34°04′N, 32°43′E, 2,553 m water depth). The chronology of LC21 is radiometrically constrained6. The age model of ODP975 has previously been related to that of LC21 (ref.2). Here we add synchronization of the ODP967 record to LC21 (Supplementary Table 2), based on: (i) Scanning X-ray fluorescence (XRF) Barium (Ba) (Supplementary Fig. 4a) to identify and tie the Sapropel S5 interval30,44 (128.3–121.5 ka) of the two sediment cores; and (ii) the ODP967 and LC21 δ18O records (Supplementary Fig. 4b). It is common practice to use foraminiferal δ18O records to synchronize sediment cores, but this was not possible in certain intervals for the ODP967 to LC21 synchronization, since ODP967 contains two intervals (B2H1 137–143 cm and B2H2 6–13 cm) across TII where foraminiferal numbers drop to very low values. To overcome this, we took advantage of similarities in the bulk-sediment δ18O records (see measurement details below) between LC21 and ODP967. The ODP967 age model includes (iii) an age of 175.63 ka which corresponds to the midpoint44 of Sapropel S6 in ODP967. The synchronization between LC21 and ODP967 was validated using the high resolution foraminiferal δ18OC and carbon isotope (δ13CC) records of LC21 (ref.6) and ODP967 (Supplementary Fig. 4c,d). Changes in the δ18OC and δ13CC records from LC21 and ODP967 coincide, especially in the S5 interval. Further confidence in the OPD967 age model is given by the synchronous occurrence of a cooling step at ~135 ka in both Δ47-temperature reconstructions (Fig. 3d,e). Overall, synchronisation uncertainties between the three cores are smaller than a thousand years and thus do not affect the conclusions presented in our study.

Sample preparation

For ODP975, we picked Globigerina bulloides from the size fraction 300–355 μm to obtain ~1.5–2 mg of carbonate. We commonly use a narrow size window to minimize size-dependent vital effects. However, in some cases G. bulloides was so rare (e.g., last interglacial period) that we had to pick from a wider size window (250–355 μm). For LC21 and ODP967, we picked Globigerinoides ruber (white). In LC21, its abundances were very low within the glacial and at the beginning of TII, which is reflected in the low number of Δ47-replicates through this interval (~140–132 ka, Fig. 3b), and the wide specimen size window that we had to use (300–450 μm, or wider). In ODP967, we could be more rigorous with the size window (300–400 μm), as G. ruber (w) was reasonably abundant throughout the study interval, except in the two gaps at around ~136–133 ka and ~129 ka.

Prior to analysis, picked foraminifera were crushed. For ODP975 and LC21, samples were cleaned as follows: we added methanol to the vial and sonicated the sample for ~10 sec. We then waited a few seconds until the carbonate sample settled in the bottom of the vial and removed the supernatant solution. This procedure was repeated until the sample was visually clean, i.e., the milky aspect of the supernatant dissapeared. Samples were dried in an oven at 45 °C for less than 12 hr. ODP967 samples required further cleaning, using the full Mg/Ca clay-removal step outlined in ref.45, which uses several rinses with both water and methanol.

Bulk sediment δ18O analytical procedure

Prior to analyses, LC21 and ODP967 sediment samples were ground. LC21 samples were analyzed at the National Oceanography Centre, Southampton using a Europa Geo2020 mass spectrometer following same procedures as in ref.6. ODP967 samples were analyzed at the Australian National University using a Thermo Fisher Scientific Delta Advantage mass spectrometer coupled to a Kiel IV carbonate device for sample digestion. Isotope data were normalized to the Vienna Peedee Belemnite (VPDB) scale using NBS-19. External reproducibility (1σ) was always better than 0.08‰.

Foraminiferal δ18O and Δ47 analytical procedure

The clumped isotope thermometer is defined as the excess of CO2 isotopologue with mass 47 (13C-18O-16O) in a sample gas with respect to the expected abundance if the isotopes were randomly distributed among all isotopologues14,15,46. It is reported as Δ47:

$${\Delta }_{47}=[(\frac{{{\rm{R}}}^{47}}{{{\rm{R}}}^{47\ast }}-1)-(\frac{{{\rm{R}}}^{46}}{{{\rm{R}}}^{46\ast }}-1)-(\frac{{{\rm{R}}}^{45}}{{{\rm{R}}}^{45\ast }}-1)]\times 1000$$
(1)

where R47, R46, and R45 correspond to the relative abundance of the cardinal masses 47, 46, and 45 with respect to the mass 44 in the sample. R47*, R46* and R45* are the expected ratios in the sample if it had a stochastic distribution among all isotopologues, which are calculated from the measured δ¹³C and δ18O (refs21,47).

We followed the procedure for obtaining the isotopic composition (δ13CC and δ18OC) and state of ordering (Δ47) in small carbonate samples as reported in ref.25. Briefly, samples were analysed using a Thermo Fisher Scientific MAT 253 mass spectrometer coupled to a Kiel IV automated carbonate preparation device, where each sample is reacted with phosphoric acid at 70 °C. The Kiel IV device has a PoraPak Q trap26 to retain organic contaminants that could bias the Δ47 towards high values. Prior to analysis of each sample run, the pressure-dependent backgrounds were determined on all beams to correct for non-linearity effects of the mass spectrometer according to ref.48. During each run, at least 18 replicates of different samples and 6 replicates of each of the carbonate standards ETH-1, ETH-2, ETH-3 and ETH-4 were analysed. The δ13CC, δ18OC, and Δ47 (in the Absolute Reference Frame or carbonate dioxide equilibrated scale49, CDES) for the standards are listed in Supplementary Table 3. For most of the ODP975 and LC21 samples each analysis consisted of 8 cycles of sample and reference gas comparisons (26 s) interrupted by 10 s of idle time. For ODP967 samples we used the Long-Integration Dual-Inlet (LIDI) method24. During LIDI analysis, the sample gas was measured continuously for ~600 s, and then the reference gas for the same time starting at the same signal intensity on m/z 44 as the sample gas. The raw Δ47 was calculated by matching reference and sample gas beam intensities after the measurement. The reproducibility of each Δ47 -replicate is ~0.03‰ (1σ).

During data processing, standards with equal (different) Δ47 and different (equal) δ47 were used to check the PBL correction (scale compression) as well as offsets during the measurement25. The Δ47 for each sample was calculated using its bulk isotopic composition as described in ref.21 after applying the pressure-dependent background correction48. Then the data were corrected for scale compression by anchoring the values to the Absolute Reference Frame49 using the carbonate standards, and corrected for the specific acid digestion temperature50. Data processing for ODP967 was done with the recently developed Easotope software51. δ13C and δ18O raw data were normalized to NBS-19 VPDB scale using the ETH-1 and ETH-2 standards. During LIDI analysis, a total of 18 Δ47-replicates of a Marula Marble standard (ANU-M2) were measured along with the samples, distributed throughout the measuring period. They yielded average values of δ13C = 2.80 ± 0.03‰ (1σ), and δ18O = −7.33 ± 0.09‰ (1σ) consistent with the ANU values for the standard (δ13C = 2.84 ± 0.04‰ (1σ) and δ18O = −7.4 ± 0.1‰ (1σ). The ANU-M2 Δ47 value was 0.407 ± 0.02‰ (1σ) based on 18 Δ47-replicates, which indicates a good external reproducibility for the period of the analyses. The ANU-M2 47 average value is equivalent to a temperature of 194 ± 6 °C when using ref.19, which is very close to the value found for other marbles such as NBS19 and other Carrara marbles52.

Temperature reconstructions using the traditional Δ47-approach

The Δ47-small method uses ~10 Δ47-replicates to calculate the weighted Δ47-average of a sample25,26. In this study the Δ47-average was calculated in most of the cases by inclusion of Δ47-replicates from neighbouring samples (up to 1 kyr apart) and/or different size fractions. Note that these were always analysed separately, that is, never “homogenized” prior to analyses. We calculated the weighted average, based on the distance of each Δ47-replicate to the average age of those 10 (or more) Δ47-replicates, using a tricube function53. The age of the Δ47-average is the weighted average age of the Δ47-replicates and the associated age error was propagated using the root mean square errors method.

Each Δ47-average is reported with the associated standard error (SE).

$$SE=\frac{\sigma }{\sqrt{N}}$$
(2)

where σ corresponds to the standard deviation of the 10 (or more) Δ47-replicates, and N is the number of Δ47-replicates used to calculate the Δ47-average. The Δ47-average was converted to temperature using the Δ47-Temperature calibration19 (equation 3), and we used the root mean square errors method to propagate the analytical uncertainties.

$${\Delta }_{47}=\frac{(0.044\pm 0.005)\ast {10}^{6}}{{T}^{2}}+(0.205\pm 0.0047)$$
(3)

where Δ47 is reported in per mil and T is the absolute temperature.

Temperature and δ18OSW calculations using the non-traditional data-analysis approach

Here, uncertainties in the independent (Age) and dependent (e.g., Δ47, temperature and δ18O) variables were propagated using 5,000 Monte Carlo simulations of the datasets, previously screened for outliers. Then, a 5 kyr Moving Gaussian Window filter (MGW) was applied to each simulation, shifting in 100 year increments. The final Δ47, temperature, and δ18OSW records are shown as the median (50th percentile) of the 5,000 MGW filtered simulations of each dataset. The 95% and 68% CI of each record are given by the 2.5th–97.5th and 16th–84th percentiles of the 5,000 MGW filtered simulations, respectively. To deconvolve the δ18OSW we used refs54,55 for G. bulloides in the wMed record. For the eMed records we used the Temperature-δ18Oc relationship for Orbulina universa in ref.54, which is commonly used for G.ruber56. See Supplementary information for a more detail explanation of this approach.

Change history

References

  1. 1.

    Bar-Matthews, M., Ayalon, A., Gilmour, M., Matthews, A. & Hawkesworth, C. J. Sea–land oxygen isotopic relationships from planktonic foraminifera and speleothems in the Eastern Mediterranean region and their implication for paleorainfall during interglacial intervals. Geochimica et Cosmochimica Acta67, 3181–3199, https://doi.org/10.1016/S0016-7037(02)01031-1 (2003).

    ADS  CAS  Article  Google Scholar 

  2. 2.

    Marino, G. et al. Bipolar seesaw control on last interglacial sea level. Nature522, 197–201, https://doi.org/10.1038/nature14499 (2015).

    ADS  CAS  Article  PubMed  Google Scholar 

  3. 3.

    Rohling, E. J. Environmental control on Mediterranean salinity and δ18O. Paleoceanography14, 706–715, https://doi.org/10.1029/1999PA900042 (1999).

    ADS  Article  Google Scholar 

  4. 4.

    Rohling, E. J. et al. Reconstructing past planktic foraminiferal habitats using stable isotope data: a case history for Mediterranean sapropel S5. Marine Micropaleontology50, 89–123, https://doi.org/10.1016/S0377-8398(03)00068-9 (2004).

    ADS  Article  Google Scholar 

  5. 5.

    Rohling, E. J. et al. Sea-level and deep-sea-temperature variability over the past 5.3 million years. Nature508, 477–482, https://doi.org/10.1038/nature13230 (2014).

    ADS  CAS  Article  PubMed  Google Scholar 

  6. 6.

    Grant, K. M. et al. Rapid coupling between ice volume and polar temperature over the past 150,000 years. Nature491, 744–747, https://doi.org/10.1038/nature11593 (2012).

    ADS  CAS  Article  PubMed  Google Scholar 

  7. 7.

    Rohling, E. J., Marino, G. & Grant, K. M. Mediterranean climate and oceanography, and the periodic development of anoxic events (sapropels). Earth-Science Reviews143, 62–97, https://doi.org/10.1016/j.earscirev.2015.01.008 (2015).

    ADS  CAS  Article  Google Scholar 

  8. 8.

    Müller, P. J., Kirst, G., Ruhland, G., von Storch, I. & Rosell-Melé, A. Calibration of the alkenone paleotemperature index U37K′ based on core-tops from the eastern South Atlantic and the global ocean (60°N–60°S). Geochimica et Cosmochimica Acta62, 1757–1772, https://doi.org/10.1016/S0016-7037(98)00097-0 (1998).

    ADS  Article  Google Scholar 

  9. 9.

    Hoefs, M. J. L., Versteegh, G. J. M., Rijpstra, W. I. C., de Leeuw, J. W. & Damsté, J. S. S. Postdepositional oxic degradation of alkenones: Implications for the measurement of palaeo sea surface temperatures. Paleoceanography13, 42–49, https://doi.org/10.1029/97PA02893 (1998).

    ADS  Article  Google Scholar 

  10. 10.

    Elderfield, H. & Ganssen, G. Past temperature and [delta]18O of surface ocean waters inferred from foraminiferal Mg/Ca ratios. Nature405, 442–445 (2000).

    ADS  CAS  Article  Google Scholar 

  11. 11.

    Schneider, A., Wallace, D. W. R. & Körtzinger, A. Alkalinity of the Mediterranean Sea. Geophysical Research Letters34, L15608, https://doi.org/10.1029/2006GL028842 (2007).

    ADS  CAS  Article  Google Scholar 

  12. 12.

    Ferguson, J. E., Henderson, G. M., Kucera, M. & Rickaby, R. E. M. Systematic change of foraminiferal Mg/Ca ratios across a strong salinity gradient. Earth and Planetary Science Letters265, 153–166, https://doi.org/10.1016/j.epsl.2007.10.011 (2008).

    ADS  CAS  Article  Google Scholar 

  13. 13.

    Boussetta, S. et al. Diagenetic Mg-rich calcite in Mediterranean sediments: Quantification and impact on foraminiferal Mg/Ca thermometry. Marine Geology280, 195–204, https://doi.org/10.1016/j.margeo.2010.12.011 (2011).

    ADS  CAS  Article  Google Scholar 

  14. 14.

    Ghosh, P. et al. 13C–18O bonds in carbonate minerals: A new kind of paleothermometer. Geochimica et Cosmochimica Acta70, 1439–1456, https://doi.org/10.1016/j.gca.2005.11.014 (2006).

    ADS  CAS  Article  Google Scholar 

  15. 15.

    Eiler, J. M. Paleoclimate reconstruction using carbonate clumped isotope thermometry. Quaternary Science Reviews30, 3575–3588, https://doi.org/10.1016/j.quascirev.2011.09.001 (2011).

    ADS  Article  Google Scholar 

  16. 16.

    Eiler, J. M. “Clumped-isotope” geochemistry—The study of naturally-occurring, multiply-substituted isotopologues. Earth and Planetary Science Letters262, 309–327, https://doi.org/10.1016/j.epsl.2007.08.020 (2007).

    ADS  CAS  Article  Google Scholar 

  17. 17.

    Grauel, A.-L. et al. Calibration and application of the ‘clumped isotope’ thermometer to foraminifera for high-resolution climate reconstructions. Geochimica et Cosmochimica Acta108, 125–140, https://doi.org/10.1016/j.gca.2012.12.049 (2013).

    ADS  CAS  Article  Google Scholar 

  18. 18.

    Tripati, A. K. et al. 13C–18O isotope signatures and ‘clumped isotope’ thermometry in foraminifera and coccoliths. Geochimica et Cosmochimica Acta74, 5697–5717, https://doi.org/10.1016/j.gca.2010.07.006 (2010).

    ADS  CAS  Article  Google Scholar 

  19. 19.

    Kele, S. et al. Temperature dependence of oxygen- and clumped isotope fractionation in carbonates: A study of travertines and tufas in the 6–95 °C temperature range. Geochimica et Cosmochimica Acta168, 172–192, https://doi.org/10.1016/j.gca.2015.06.032 (2015).

    ADS  CAS  Article  Google Scholar 

  20. 20.

    Bonifacie, M. et al. Calibration of the dolomite clumped isotope thermometer from 25 to 350 °C, and implications for a universal calibration for all (Ca, Mg, Fe)CO3 carbonates. Geochimica et Cosmochimica Acta200, 255–279, https://doi.org/10.1016/j.gca.2016.11.028 (2017).

    ADS  CAS  Article  Google Scholar 

  21. 21.

    Huntington, K. W. et al. Methods and limitations of ‘clumped’ CO2 isotope (Δ47) analysis by gas-source isotope ratio mass spectrometry. Journal of Mass Spectrometry44, 1318–1329, https://doi.org/10.1002/jms.1614 (2009).

    ADS  CAS  Article  PubMed  Google Scholar 

  22. 22.

    Spencer, C. & Kim, S.-T. Carbonate clumped isotope paleothermometry: a review of recent advances in CO2 gas evolution, purification, measurement and standardization techniques. Geosci J19, 357–374, https://doi.org/10.1007/s12303-015-0018-1 (2015).

    CAS  Article  Google Scholar 

  23. 23.

    Müller, I. A. et al. Carbonate clumped isotope analyses with the long-integration dual-inlet (LIDI) workflow: scratching at the lower sample weight boundaries. Rapid Communications in Mass Spectrometry31, 1057–1066, https://doi.org/10.1002/rcm.7878 (2017).

    ADS  CAS  Article  PubMed  Google Scholar 

  24. 24.

    Hu, B. et al. A modified procedure for gas-source isotope ratio mass spectrometry: the long-integration dual-inlet (LIDI) methodology and implications for clumped isotope measurements. Rapid Communications in Mass Spectrometry28, 1413–1425, https://doi.org/10.1002/rcm.6909 (2014).

    ADS  CAS  Article  PubMed  Google Scholar 

  25. 25.

    Meckler, A. N., Ziegler, M., Millán, M. I., Breitenbach, S. F. M. & Bernasconi, S. M. Long-term performance of the Kiel carbonate device with a new correction scheme for clumped isotope measurements. Rapid Communications in Mass Spectrometry28, 1705–1715, https://doi.org/10.1002/rcm.6949 (2014).

    ADS  CAS  Article  PubMed  Google Scholar 

  26. 26.

    Schmid, T. W. & Bernasconi, S. M. An automated method for ‘clumped-isotope’ measurements on small carbonate samples. Rapid Communications in Mass Spectrometry24, 1955–1963, https://doi.org/10.1002/rcm.4598 (2010).

    ADS  CAS  Article  PubMed  Google Scholar 

  27. 27.

    Bernasconi, S. M., Schmid, T. W., Grauel, A.-L. & Mutterlose, J. Clumped-isotope geochemistry of carbonates: A new tool for the reconstruction of temperature and oxygen isotope composition of seawater. Applied Geochemistry26(Supplement), S279–S280, https://doi.org/10.1016/j.apgeochem.2011.03.080 (2011).

    CAS  Article  Google Scholar 

  28. 28.

    Thornalley, D. J. R. et al. A warm and poorly ventilated deep Arctic Mediterranean during the last glacial period. Science349, 706–710, https://doi.org/10.1126/science.aaa9554 (2015).

    CAS  Article  PubMed  Google Scholar 

  29. 29.

    Martrat, B., Jimenez-Amat, P., Zahn, R. & Grimalt, J. O. Similarities and dissimilarities between the last two deglaciations and interglaciations in the North Atlantic region. Quaternary Science Reviews99, 122–134, https://doi.org/10.1016/j.quascirev.2014.06.016 (2014).

    ADS  Article  Google Scholar 

  30. 30.

    Grant, K. M. et al. The timing of Mediterranean sapropel deposition relative to insolation, sea-level and African monsoon changes. Quaternary Science Reviews140, 125–141, https://doi.org/10.1016/j.quascirev.2016.03.026 (2016).

    ADS  Article  Google Scholar 

  31. 31.

    Locarnini, R. et al. World Ocean Atlas 2009, vol. 1. Temperature, NOAA Atlas NESDIS68 (2010).

  32. 32.

    Marino, G. et al. Aegean Sea as driver of hydrographic and ecological changes in the eastern Mediterranean. Geology35, 675–678, https://doi.org/10.1130/g23831a.1 (2007).

    ADS  CAS  Article  Google Scholar 

  33. 33.

    Emeis, K. C. et al. Eastern Mediterranean surface water temperatures and δ18O composition during deposition of sapropels in the late Quaternary. Paleoceanography18, 1005, https://doi.org/10.1029/2000PA000617 (2003).

    ADS  Article  Google Scholar 

  34. 34.

    Hayes, A., Kucera, M., Kallel, N., Sbaffi, L. & Rohling, E. J. Glacial Mediterranean sea surface temperatures based on planktonic foraminiferal assemblages. Quaternary Science Reviews24, 999–1016, https://doi.org/10.1016/j.quascirev.2004.02.018 (2005).

    ADS  Article  Google Scholar 

  35. 35.

    Jouzel, J. et al. Orbital and Millennial Antarctic Climate Variability over the Past 800,000 Years. Science317, 793–796, https://doi.org/10.1126/science.1141038 (2007).

    ADS  CAS  Article  PubMed  Google Scholar 

  36. 36.

    Visser, K., Thunell, R. & Stott, L. Magnitude and timing of temperature change in the Indo-Pacific warm pool during deglaciation. Nature421, 152–155 (2003).

    ADS  CAS  Article  Google Scholar 

  37. 37.

    Tachikawa, K., Timmermann, A., Vidal, L., Sonzogni, C. & Timm, O. E. CO2 radiative forcing and Intertropical Convergence Zone influences on western Pacific warm pool climate over the past 400ka. Quaternary Science Reviews86, 24–34, https://doi.org/10.1016/j.quascirev.2013.12.018 (2014).

    ADS  Article  Google Scholar 

  38. 38.

    Saher, M. H. et al. Western Arabian Sea SST during the penultimate interglacial: A comparison of U37K′ and Mg/Ca paleothermometry. Paleoceanography24, n/a–n/a, https://doi.org/10.1029/2007PA001557 (2009).

    Article  Google Scholar 

  39. 39.

    Skinner, L. C. & Shackleton, N. J. Deconstructing Terminations I and II: revisiting the glacioeustatic paradigm based on deep-water temperature estimates. Quaternary Science Reviews25, 3312–3321, https://doi.org/10.1016/j.quascirev.2006.07.005 (2006).

    ADS  Article  Google Scholar 

  40. 40.

    Osborne, A. H., Marino, G., Vance, D. & Rohling, E. J. Eastern Mediterranean surface water Nd during Eemian sapropel S5: monitoring northerly (mid-latitude) versus southerly (sub-tropical) freshwater contributions. Quaternary Science Reviews29, 2473–2483, https://doi.org/10.1016/j.quascirev.2010.05.015 (2010).

    ADS  Article  Google Scholar 

  41. 41.

    Rohling, E. J. et al. African monsoon variability during the previous interglacial maximum. Earth and Planetary Science Letters202, 61–75, https://doi.org/10.1016/S0012-821X(02)00775-6 (2002).

    ADS  CAS  Article  Google Scholar 

  42. 42.

    Grelaud, M., Marino, G., Ziveri, P. & Rohling, E. J. Abrupt shoaling of the nutricline in response to massive freshwater flooding at the onset of the last interglacial sapropel event. Paleoceanography27, PA3208, https://doi.org/10.1029/2012PA002288 (2012).

    ADS  Article  Google Scholar 

  43. 43.

    Hoffman, J. S., Clark, P. U., Parnell, A. C. & He, F. Regional and global sea-surface temperatures during the last interglaciation. Science355, 276–279, https://doi.org/10.1126/science.aai8464 (2017).

    ADS  CAS  Article  PubMed  Google Scholar 

  44. 44.

    Grant, K. M. et al. A 3 million year index for North African humidity/aridity and the implication of potential pan-African Humid periods. Quaternary Science Reviews171, 100–118, https://doi.org/10.1016/j.quascirev.2017.07.005 (2017).

    ADS  Article  Google Scholar 

  45. 45.

    Barker, S., Greaves, M. & Elderfield, H. A study of cleaning procedures used for foraminiferal Mg/Ca paleothermometry. Geochemistry, Geophysics, Geosystems4, 8407, https://doi.org/10.1029/2003GC000559 (2003).

    ADS  CAS  Article  Google Scholar 

  46. 46.

    Schauble, E. A., Ghosh, P. & Eiler, J. M. Preferential formation of 13C–18O bonds in carbonate minerals, estimated using first-principles lattice dynamics. Geochimica et Cosmochimica Acta70, 2510–2529, https://doi.org/10.1016/j.gca.2006.02.011 (2006).

    ADS  CAS  Article  Google Scholar 

  47. 47.

    Wang, Z., Schauble, E. A. & Eiler, J. M. Equilibrium thermodynamics of multiply substituted isotopologues of molecular gases. Geochimica et Cosmochimica Acta68, 4779–4797, https://doi.org/10.1016/j.gca.2004.05.039 (2004).

    ADS  CAS  Article  Google Scholar 

  48. 48.

    Bernasconi, S. M. et al. Background effects on Faraday collectors in gas-source mass spectrometry and implications for clumped isotope measurements. Rapid Communications in Mass Spectrometry27, 603–612, https://doi.org/10.1002/rcm.6490 (2013).

    ADS  CAS  Article  PubMed  Google Scholar 

  49. 49.

    Dennis, K. J., Affek, H. P., Passey, B. H., Schrag, D. P. & Eiler, J. M. Defining an absolute reference frame for ‘clumped’ isotope studies of CO2. Geochimica et Cosmochimica Acta75, 7117–7131, https://doi.org/10.1016/j.gca.2011.09.025 (2011).

    ADS  CAS  Article  Google Scholar 

  50. 50.

    Müller, I. A. et al. Clumped isotope fractionation during phosphoric acid digestion of carbonates at 70 °C. Chemical Geology449, 1–14, https://doi.org/10.1016/j.chemgeo.2016.11.030 (2017).

    ADS  CAS  Article  Google Scholar 

  51. 51.

    John, C. M. & Bowen, D. Community software for challenging isotope analysis: First applications of ‘Easotope’ to clumped isotopes. Rapid Communications in Mass Spectrometry30, 2285–2300, https://doi.org/10.1002/rcm.7720 (2016).

    ADS  CAS  Article  PubMed  Google Scholar 

  52. 52.

    Dennis, K. J. & Schrag, D. P. Clumped isotope thermometry of carbonatites as an indicator of diagenetic alteration. Geochimica et Cosmochimica Acta74, 4110–4122, https://doi.org/10.1016/j.gca.2010.04.005 (2010).

    ADS  CAS  Article  Google Scholar 

  53. 53.

    Cleveland, W. S. Robust Locally Weighted Regression and Smoothing Scatterplots. Journal of the American Statistical Association74, 829–836, https://doi.org/10.1080/01621459.1979.10481038 (1979).

    MathSciNet  Article  MATH  Google Scholar 

  54. 54.

    Bemis, B. E., Spero, H. J., Bijma, J. & Lea, D. W. Reevaluation of the oxygen isotopic composition of planktonic foraminifera: Experimental results and revised paleotemperature equations. Paleoceanography13, 150–160, https://doi.org/10.1029/98PA00070 (1998).

    ADS  Article  Google Scholar 

  55. 55.

    Bemis, B. E., Spero, H. J. & Thunell, R. C. Using species-specific paleotemperature equations with foraminifera: a case study in the Southern California Bight. Marine Micropaleontology46, 405–430, https://doi.org/10.1016/S0377-8398(02)00083-X (2002).

    ADS  Article  Google Scholar 

  56. 56.

    Thunell, R., Tappa, E., Pride, C. & Kincaid, E. Sea-surface temperature anomalies associated with the 1997–1998 El Niño recorded in the oxygen isotope composition of planktonic foraminifera. Geology27, 843–846, https://doi.org/10.1130/0091-7613(1999)027<0843:sstaaw>2.3.co;2 (1999).

    ADS  Article  Google Scholar 

  57. 57.

    Schlitzer, R. Ocean Data View, odv.awi.de (2017).

Download references

Acknowledgements

We thank the International Ocean Discovery Program for providing samples from Leg 161 and W. Hale for sampling assistance. We also thank Stewart Bishop, Madalina Jaggi, and Joe Cali for the analytical support. This study was supported by Swiss National Science Foundation projects SNSF 200020_160046 and IZK0Z2_160377, ETH project No. ETH-33 14-1, ANZIC-IODP project ARIES30735 (K.M.G. & L.R.-S.), and Australian Research Council Australian Laureate Fellowship FL120100050 (E.J.R).

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E.J.R., G.M., and S.M.B. designed the project. L.R.-S. led the study and generated the data. Clumped isotope data collection was overseen by S.M.B. and carried out by L.R.-S., with the assistance of G.M. (sample preparation), and I.A.M. and A.F. (analysis) who also contributed to the improvement of the analytical methods. The statistical approach was developed by L.R.-S., D.H., and E.J.R. Bulk isotope data for LC21 and XRF-based LC21-ODP967 tie points were provided by K.M.G. All authors contributed to the preparation of the final manuscript.

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Correspondence to L. Rodríguez-Sanz.

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Rodríguez-Sanz, L., Bernasconi, S.M., Marino, G. et al. Penultimate deglacial warming across the Mediterranean Sea revealed by clumped isotopes in foraminifera. Sci Rep 7, 16572 (2017). https://doi.org/10.1038/s41598-017-16528-6

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