To settle debate on the timing of sea level fluctuations during marine isotope stage (MIS) 3, we present records of δ18Oruber (sea level proxy) and magnetic susceptibility from the same samples within the single sediment archive (i.e., “coregistered”) of central Red Sea core GeoTü-KL11. Core-scanning X-ray fluorescence and environmental magnetic data establish the suitability of magnetic susceptibility as a proxy for eolian dust content in Red Sea sediments. The eolian dust data record similar variability as Greenland δ18Oice during early to middle MIS 3, in agreement with previous observations that regional Arabian Sea climate fluctuated with a timing similar to that of Greenland climate variations. In contrast, the sea level record fluctuates with a timing similar to that of Antarctic-style climate variations. The coregistered nature of the two records in core KL11 unambiguously reveals a distinct offset in the phase relationship between sea level and eolian dust fluctuations. The results confirm that sea level rises, indicated by shifts in Red Sea δ18Oruber to lighter values, occurred during cold episodes in Greenland during early to middle MIS 3. This indicates that the amplitudes of the reconstructed MIS 3 sea level fluctuations would not be reduced by inclusion of regional climate fluctuations in the Red Sea sea level method. Our analysis comprehensively supports our earlier conclusions of large-amplitude sea level variations during MIS 3 with a timing that is strongly similar to Antarctic-style climate variations.
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 There is considerable debate about the timing of sea level fluctuations during marine isotope stage (MIS) 3 relative to other key signals of climate variability during that period from Greenland and Antarctic ice core records. This is an important debate, because it has the potential to provide observational constraints to the question whether global ice volume would increase during relatively warm or relatively cold periods in the Greenland climate record, and hence will inform our developing understanding (and modeling) of the underlying processes.
 We previously proposed that sea level variability closely followed an Antarctic-style rhythm of climate variability [Siddall et al., 2003; Rohling et al., 2004], based on a comparison of signal structure in a central Red Sea sea level record with that in ice core climate records during MIS 3. This assertion is supported by strong signal similarity that had been noted between deep-sea benthic foraminiferal δ18O records and Antarctic climate variability [Shackleton et al., 2000; Cutler et al., 2003; Pahnke et al., 2003; Pahnke and Zahn, 2005]. This Antarctic-style signal structure is so ubiquitous in benthic foraminiferal δ18O records that it remains recognizable even in a statistical stack of 57 individual records [Lisiecki and Raymo, 2005; Siddall et al., 2008b]. However, benthic δ18O records may be affected by deep-sea temperature fluctuations and changes in advection and mixing of different source waters, so this signal structure comparison does not conclusively validate our synchronization.
 Recently, Arz et al.  described an empirically calibrated sea level record from the northern Red Sea, which has similar structure to the model-interpreted version from the central Red Sea of Siddall et al.  (see comparison by Siddall et al. [2008a]). However, Arz et al.  proposed an alternative synchronization to the ice core records for a northern Red Sea sediment core, based on a range of AMS 14C datings of foraminiferal calcite, and age tie points from geomagnetic paleointensity variations. The paleointensity minimum associated with the Laschamp geomagnetic excursion was used as a globally isochronous marker for Dansgaard-Oeschger interstadial 10 based on correlation with cosmogenic 10Be data from Greenland ice cores [Muscheler et al., 2005]. Theoretically, this would establish the phasing of the sea level driven Red Sea record relative to the Greenland ice core temperature signal. Although the amplitudes in the sea level record of Arz et al.  generally agree with those of Siddall et al.  (see comparison by Siddall et al. [2008a]), Arz et al.  thus inferred that sea level rises coincided with warming in the Greenland records, which would imply that the initially proposed Antarctic-style timing of sea level variations [Siddall et al., 2003; Rohling et al., 2004] was in error. However, there are several complications that could preclude such a firm conclusion.
 First, there is considerable scope for bias in radiocarbon dating of Red Sea material (notably in older, MIS 3, intervals where residual 14C concentrations are low). This is because of aragonite precipitation, especially in high-salinity low sea level intervals, and/or because of early diagenetic precipitation of secondary (high Mg) calcite. While these phases can be easily removed when preparing small quantities of foraminiferal calcite for stable isotope analyses, they are impossible to avoid when picking the large quantities of material needed for radiocarbon dating, and even small amounts of secondary material will have significant impact on datings of foraminiferal calcite in intervals with low residual 14C activity. This introduces potential bias into radiocarbon dating, especially in glacial intervals, even in cases with perfect stratigraphy.
 In addition, the reservoir age of water in the Red Sea becomes greatly enhanced with sea level lowering (which is the crux of the Red Sea sea level method [Rohling et al., 1998; Siddall et al., 2003, 2004]). Hence, considerable variation can be expected through time in the reservoir age correction that should be applied to Red Sea marine radiocarbon datings. The exchange fluxes through Bab-el-Mandab reported by Sofianos et al.  and Siddall et al.  imply present-day residence times for water in the Red Sea of about 20 years (basin-averaged value) and about 300 years (deep waters, based on the estimate of Eshel et al.  for the aspired deep water flux over the sill). For a glacial sea level lowstand of −120 m, the exchange fluxes calculated by Siddall et al.  would imply increases in these values up to 180 years (basin-averaged) and 2200 years (deep waters), and for MIS 3 sea level stands of −60 to −90 m, these values would be 25 to 40, and 300 to 500 years, respectively. The calculated maximum for glacial maximum conditions likely is an overestimate, given that oxygen-dependent benthic foraminifera continued to live in the deep basin [e.g., Rohling et al., 1998; Fenton et al., 2000], and that there was active deep water formation in the northern Red Sea during glacial times [Arz et al., 2003]. It nevertheless remains evident that even the residence times of water increase considerably with lowering of sea level, and residence times of carbon in the basin would be affected by at least similar values. Stratification influences also come into play, especially where carbon exchange is concerned. Particularly pronounced residence time contrasts may develop between water masses at times of rising sea level, when salinity decrease in the basin reduces the potential for newly formed deep water to displace existing, highly saline deep waters (see Rohling  for elaboration of a Mediterranean analog). Arz et al.  argue that water column stratification and consequent “isolation” of deep waters contributed to the deposition of organic-rich sediments in the Red Sea during deglaciations. In view of the variable, sea level–dependent residence times of water within the Red Sea, it may be expected that radiocarbon reservoir age corrections varied with sea level as well. The outlined problems with radiocarbon dating in Red Sea records imply that, although a reasonable rough chronology might be developed for the last 40,000 years using AMS 14C datings, such a framework will be insufficiently constrained to reveal details about millennial-scale phase relationships relative to other paleoclimate archives.
 Finally, to extend their radiocarbon-based Red Sea chronology beyond 40 cal ka BP, Arz et al.  used 3 paleointensity tie points to constrain the chronology between 65 and 41 ka. Such a small number of age tie points for this 24 ka age interval precludes establishment of a chronology with the centennial- to millennial-scale resolution required to synchronize sea level variability with the Greenland ice cores, especially if the record contains variations in sedimentation rate [cf. Roberts and Winklhofer, 2004]. Moreover, uncertainty concerning the lock-in depth of a postdepositional remanent magnetization reduces confidence in the direct pinning by Arz et al.  of a sea level event to the Laschamp event, because the magnetization and the event to which it is stratigraphically linked are not necessarily synchronous [Roberts and Winklhofer, 2004]. Synchronization with much smaller age uncertainties is required before the phasing of sea level variability can be established relative to the Greenland ice cores within this key interval.
2. Relative Timing and Phase Relationships
 The most conclusive way of establishing centennial- to millennial-scale phase relationships between paleoclimate archives is through use of coregistered signals [e.g., Blunier et al., 1998; Shackleton et al., 2000; Rohling and Pälike, 2005]. Using variations in concentration of atmospherically well-mixed methane gas in air bubbles trapped in ice, Blunier et al. , Blunier and Brook , and EPICA Community Members  established the phase relationship between Greenland (Dansgaard-Oeschger; DO-style) climate variability, and Antarctic-style climate variability. The phase relationship between climate variability in the two polar regions as inferred from methane synchronization has been independently corroborated by Shackleton et al. . Those authors found that planktonic foraminiferal δ18O in core MD95–2042 from the Iberian margin (eastern North Atlantic) has strong signal similarity with DO-style variability, while deep water variations (3140 m water depth) recorded by δ18O in benthic foraminifera from the same samples show a clear Antarctic-style signature.
 Here we employ coregistered records to evaluate the phasing of the Red Sea stable oxygen isotope (sea level proxy) record relative to the methane-synchronized Antarctic and Greenland paleotemperature proxy records. We use two independent parameters from a single central Red Sea sediment core (GeoTü-KL11) through MIS 3 [Hemleben et al., 1996; Siddall et al., 2003], namely stable oxygen isotope ratios in the surface-dwelling planktonic foraminiferal species Globigerinoides ruber (white) (δ18Oruber) and bulk sediment magnetic susceptibility. Both were measured on a continuous series of 1-cm spaced samples.
 The δ18Oruber series underlies the sea level reconstructions from the Red Sea method [Siddall et al., 2003]. Magnetic susceptibility can sometimes provide a proxy for eolian dust content in sediments. In this case, it is a measure of variability in the regional (wider Arabian Sea) monsoon climate, which was found to have followed the Greenland DO-style rhythm [Schulz et al., 1998; Leuschner and Sirocko, 2000; Burns et al., 2003; Rohling et al., 2003]. However, the use of magnetic susceptibility as a proxy for eolian dust is warranted only when this relationship is confirmed by comparison with independent indicators of eolian dust concentration [e.g., Larrasoaña et al., 2003, 2008]. We therefore first establish the extent to which central Red Sea magnetic susceptibility represents eolian dust content, by comparing magnetic measurements and core-scanning X-ray fluorescence (XRF) results for nearby core GeoTü-KL09, which was freshly opened and sampled with u channels (October 2005) to measure signals unaffected by any potential alterations. Such whole-core (u channel) sampling was no longer possible in KL11, as this core is stored in a dry condition, but we were able to carefully remove a continuous series of 1-cm spaced discrete samples.
3. Results and Discussion
 In Figure 1, we show for core KL09 the elemental counts of Fe and Ti from an ITRAX core-scanning XRF system (0.5 mm increments) and an environmental magnetic proxy for hematite concentration determined using a 2-G Enterprises cryogenic magnetometer (IRM0.9 T@AF120 mT, after Larrasoaña et al. ). These records are presented alongside a low-resolution δ18Oruber record from a Geo2020 mass spectrometer with individual acid bath preparation line (Figure 1). A working chronology was obtained for KL09 by visually correlating the latter with δ18Oruber data from core MD92–1017, the published central Red Sea record with the longest time coverage [Rohling et al., 1998; Siddall et al., 2003].
Figure 2 compares our hematite proxy record with Fe and Ti abundance data, which have previously been found to provide sound indicators of eolian dust fluctuations in the region [Ivanochko et al., 2005]. Variability in the hematite proxy record shows strong similarity with that in the smoothed Fe series (4 cm moving average to approximate the smoothing effect of the magnetometer's response coil width), which indicates that variability in Fe content is predominantly associated with hematite fluctuations (Figure 2b). The hematite proxy is strongly similar to the Ti record (Figure 2a), a much used proxy for eolian dust throughout the Mediterranean/Middle East region [e.g., Wehausen and Brumsack, 2000; Lourens et al., 2001; Larrasoaña et al., 2003; Ivanochko et al., 2005]. We therefore conclude that the hematite proxy offers a good representation of eolian dust content in our central Red Sea sediments, similar to the eastern Mediterranean [Larrasoaña et al., 2003].
 The hematite proxy and magnetic susceptibility data collected on the same samples have similar variability (Figure 2c). In quantitative terms, these series share 81% common variance, where N = 1447, although the nonzero intercept in Figure 3 indicates some background magnetic susceptibility that is carried by minerals other than hematite. Nevertheless, it is evident that magnetic susceptibility fluctuations in central Red Sea sediments provide a useful proxy for eolian dust variations. This is advantageous, because magnetic susceptibility is easy to measure on small, discrete samples in a continuous series of narrow depth increments, which allows development of highly resolved eolian dust proxy records for the central Red Sea.
 We measured the magnetic susceptibility of small, dried, discrete, 1-cm samples from core KL11, to allow comparison of the resultant high-resolution eolian dust proxy record with the previously published δ18Oruber (sea level proxy) series for the same samples [Siddall et al., 2003]. The complete data set is presented in auxiliary material for the entire 70–23 ka BP interval analyzed. Here we focus on the 64–36 ka BP interval because this is where the contended millennial-scale sea level fluctuations are found [Siddall et al., 2003; Rohling et al., 2004], while we note also that magnetic susceptibility in younger levels appears to lose millennial-scale definition. Comparable loss of millennial-scale definition from about 36 ka BP into the Last Glacial Maximum can be seen in high-resolution eolian proxy data from core 905, recovered just outside the Gulf of Aden in the SW Arabian Sea [Ivanochko et al., 2005].
 The coregistered δ18Oruber (sea level proxy) and magnetic susceptibility (eolian dust proxy) records clearly fluctuate out of phase within early and middle MIS 3 (Figure 4c, and refer to the auxiliary material for offsets in terms of depth). As in the studies of Siddall et al. [2003, 2008b] and Rohling et al. , we synchronize (“tune”) the δ18Oruber (sea level proxy) series to the Antarctic δ18Oice series from Byrd station, which because of methane synchronization between Byrd and GISP2 [Blunier et al., 1998; Blunier and Brook, 2001] places the Red Sea records on a (GISP2) time scale that allows direct comparison with both ice core records. We find that this tuning (see tie points in Figure 4a) not only produces an excellent fit between the Red Sea δ18Oruber (sea level proxy) series and the Byrd δ18Oice series (Figure 4a), but that it also results in a coherent phasing of the major shifts in the coregistered eolian dust record with the Greenland δ18Oice series (Figure 4d).
 The coregistered Red Sea records presented here provide important insights into the sensitivity of the various proxies from this basin. It has been documented that Arabian Sea monsoon variations during MIS 3 closely followed DO-style variations (Figures 4d and 4e) [e.g., Schulz et al., 1998; Ivanochko et al., 2005]. Hence, regional climate variability over the Red Sea may be expected to follow this rhythm as well. Eolian dust fluxes into the central Red Sea appear to have fluctuated in compliance with this expectation (Figure 4e).
 The surface-dwelling planktonic foraminifer Globigerinoides ruber gives a Red Sea δ18Oruber record that markedly deviates from the a priori expectation of DO-style variability (Figure 4). In addition, the δ18Oruber record shows a much greater glacial-interglacial amplitude than anywhere in the open ocean (almost 4 times amplified). There must therefore be a mechanism that (1) is much more important for Red Sea δ18O than regional climate fluctuations, (2) caused a strongly amplified response, and (3) fluctuated on a different rhythm than the regional climate. The Red Sea sea level method specifically addressed this mechanism [Siddall et al., 2003, 2004; Biton et al., 2008], by quantifying the amplified response of Red Sea δ18Owater (and so δ18Oruber) to sea level lowering, on the basis of water residence time increases in the basin due to reduction of water mass exchange across the very shallow (137 m) Red Sea sill. A residence time increase causes prolonged exposure of the Red Sea waters to high evaporation, which drives a rapid increase in δ18O [Siddall et al., 2003, 2004; Biton et al., 2008]. The coregistered timing relationship between δ18Oruber and regional climate (as indicated by eolian dust) reported here implies that the sea level fluctuations (δ18Oruber) followed an Antarctic-style rhythm during early to middle MIS 3, while the regional climate (eolian dust proxy) followed the DO-style variability that also characterized the Arabian Sea monsoon.
 We emphasize that there has been no attempt to “tune” the eolian dust signal to the Greenland δ18Oice fluctuations, but that it simply “falls into place” when the coregistered δ18Oruber (sea level) series is correlated with the Antarctic Byrd δ18Oice series. Thus, we independently diagnose that the eolian dust series seems to fluctuate through early to middle MIS 3 with a timing close to the main DO events in Greenland. While this corroborates previous suggestions that regional eolian dust fluxes show DO-style variability [e.g., Ivanochko et al., 2005], our records for the first time provide evidence that does not include some degree of chronological tuning to the Greenland record.
4. Summary and Implications
 Central Red Sea δ18Oruber (sea level proxy) shares a remarkable signal structure with Antarctic-style temperature proxy records, and with deep-sea benthic foraminiferal δ18O records [Siddall et al., 2003; Rohling et al., 2004]. We find that the coregistered eolian dust record shares considerable signal similarity with Greenland DO-style variability, especially in early to middle MIS 3. Moreover, we observe that the offset timing relationship between the coregistered sea level and eolian dust records in the central Red Sea is similar to that found with methane synchronization between Antarctic and Greenland climate records [Blunier et al., 1998; Blunier and Brook, 2001; EPICA Community Members, 2006], and thus is also close to that between coregistered Antarctic-style δ18Obenthic and DO-style δ18Oplanktonic on the Iberian margin [Shackleton et al., 2000]. We conclude that the Red Sea δ18Oruber (sea level proxy) series during early to middle MIS 3 follows an Antarctic-style timing, as was initially proposed [Siddall et al., 2003; Rohling et al., 2004]. We therefore reject the suggestion of Arz et al.  that the sea level record is more closely related to DO-style variability.
 Although we assert that the sea level fluctuations followed an Antarctic-style timing, this does not imply that these fluctuations derived exclusively from Antarctic ice volume. Rather, a key component appears to have derived from northern ice sheets. For example, Rohling et al.  suggest from the use of stable oxygen isotopes as a tracer in an Earth System model that the most realistic distribution simulations would require contributions from both hemispheres, Hill et al.  report evidence for significant meltwater flux from the Southern Laurentide margin on an Antarctic-style timing, and Clark et al.'s  comprehensive modeling results invoke large-scale waxing and waning of the Laurentide ice sheet on an Antarctic-style rhythm.
 Our results strongly confirm that early to middle MIS 3 sea level rises, indicated by shifts in Red Sea δ18Oruber to lighter values, occurred during cold episodes in Greenland. Because regional Arabian Sea climate was found to have fluctuated close to the Greenland DO rhythm [e.g., Schulz et al., 1998; Ivanochko et al., 2005], this implies that shifts of Red Sea δ18Oruber to lighter values coincided with cooler and more arid regional climate conditions (in agreement with our enhanced eolian dust fluxes). Such a regional climatic imprint would tend to have driven δ18Oruber in the opposite sense to that observed. It is therefore unlikely that the amplitudes of MIS 3 sea level changes obtained from Red Sea records would be overestimated because of any overlooked regional temperature and aridity effects. Instead, the present study's information on the likely phasing of such effects would imply that their detailed inclusion in the sea level reconstructions may push the amplitude estimates toward the high end of the reported uncertainty intervals [Siddall et al., 2003; Rohling et al., 2004].
 Finally, we comment on the potential influence of any isostatic effects. Initial estimates for isostatic effects reach up to 17 m at Bab-el-Mandab over a full glacial-interglacial range [Siddall et al., 2004; Biton et al., 2008]. If we generously assume that the isostatic effects reached full steady state during the rapid MIS 3 sea level fluctuations, and that they scale in a roughly linear manner with sea level change (the latter produces an overestimate of isostatic effects because virtually all of the roughly 50 m deep Red Sea shelf area would continuously be above sea level during MIS 3), then isostatic effects in the sea level range of MIS 3 (−60 to −90 m) would at most vary between 8.5 and 12.8 m. Therefore, isostatic effects cannot explain more than 12.8−8.5 = 4.3 m of the sea level variability recorded in MIS 3 by the Red Sea method.
 Overall, our analysis offers strong support for the earlier conclusions of Siddall et al. , that the sea level variations during early to middle MIS 3 were of large (order 25–30 m) amplitude, and followed a timing similar to Antarctic-style climate variations.
 This study contributes to UK Natural Environment Research Council (NERC) project NE/C003152/1, NERC consortium Response of humans to abrupt environmental transitions (RESET, NE/E01531X/1), and German Science Foundation (DFG) project He 697/17; Ku 2259/3. Mark Siddall is supported by an RCUK fellowship from the University of Bristol and by Lamont Doherty Earth Observatory.