Late Holocene slowdown of the Indian Ocean Walker circulation

Changes in tropical zonal atmospheric (Walker) circulation induce shifts in rainfall patterns along with devastating floods and severe droughts that dramatically impact the lives of millions of people. Historical records and observations of the Walker circulation over the 20th century disagree on the sign of change and therefore, longer climate records are necessary to better project tropical circulation changes in response to global warming. Here we examine proxies for thermocline depth and rainfall in the eastern tropical Indian Ocean during the globally colder Last Glacial Maximum (19–23 thousand years ago) and for the past 3000 years. We show that increased thermocline depth and rainfall indicate a stronger-than-today Walker circulation during the Last Glacial Maximum, which is supported by an ensemble of climate simulations. Our findings underscore the sensitivity of tropical circulation to temperature change and provide evidence for a further weakening of the Walker circulation in response to greenhouse warming.

T he Walker circulations are zonal atmospheric overturning cells over the tropical oceans with long-term mean surface westerlies along the equatorial Indian and easterlies over the equatorial Pacific Ocean. Their changes are closely tied to the monsoon systems, El Niño-Southern Oscillation (ENSO) and the Indian Ocean Dipole Mode (IOD) 1,2 . Thus far, studies on the recent development and future projection of the Walker circulations remain contradictory and suggest either a reduced [2][3][4][5] or an enhanced [6][7][8][9] Walker circulation in response to global warming. This controversy mainly arises from the shortness of the instrumental data covering only a few decades, and necessitates records of Walker circulation changes from the geological past to better understand the sensitivity of the Walker circulation and the hydrological cycle to temperature change [2][3][4] .
One of the most prominent periods for this purpose is the globally cooler climate of the Last Glacial Maximum (LGM). A multi-model ensemble of climate simulations suggests a drierthan-today LGM climate of the Indo-Pacific Warm Pool (IPWP) 10 , where the ascending branches of the Indo-Pacific Walker cells reside. A relatively dry IPWP during the LGM has been attributed to a slowdown of the Walker circulation [11][12][13] . These studies further indicate that similar to the present-day situation 14,15 , records of rainfall and thermocline depth in the eastern tropical Indian Ocean are the most sensitive diagnostic tools to reconstruct past Indian Walker circulation changes. Presently, the most prominent changes in Walker circulation over the Indian Ocean occur during the IOD years, when the circulation weakens (positive IOD events) or strengthens (negative IOD events). In the eastern tropical Indian Ocean, the thermocline shoals and cools while rainfall decreases during the positive IOD events, and vice versa during the negative IOD events [14][15][16] . In contrast, modern observations show that temperature and rainfall in Africa and the western Indian Ocean beneath the poorly-defined descending branch of the Indian Walker cell 1 do not respond consistently to changes in the Walker circulation 17,18 . Thus, reconstructing circulation and rainfall in the eastern tropical Indian Ocean is a critical task to evaluate the model performance in simulating the LGM and future changes in the tropical hydrologic cycle.
In this study, we show that the thermocline was deeper and the amount of rainfall was higher in the eastern tropical Indian Ocean during the LGM compared to the late Holocene. In striking agreement with two climate model simulations, our results suggest that the Walker circulation over the Indian Ocean was stronger during the cooler LGM climate. We infer a further weakening of the Walker circulation with increasing global temperatures during the 21st century.

Results
Thermocline reconstruction. Here we present three sea surface temperature (SST) and five thermocline temperature records calculated from shell Mg/Ca of planktic foraminifera at several sites in the eastern tropical Indian Ocean since the LGM (Fig. 1a, Methods and Supplementary Table 1). We make use of the difference between surface and thermocline temperatures (ΔT) to assess the relative depth of the thermocline, with a larger difference indicating a shallower thermocline and vice versa (Fig. 1a, Supplementary Figs. 1-2). The depth of the thermocline in this region is presently controlled by changes in the atmospheric circulation and a sensitive measure of changes in the Walker circulation 14  . Similar to the model comparison below, in the following we compare reconstructed average values for the LGM with those of the late Holocene in order to assess changes in the relative strength of the Indian Walker circulation.
Average temperatures for the late Holocene are about 1.5°-3°C higher at surface but up to 4°C lower at the thermocline compared to the average LGM temperatures (Supplementary Data 1). The late Holocene ΔT values show a coherent picture regardless of the selected temperature calibration or the time span considered (Fig. 2), and reflect the modern conditions with lower values indicating a relatively deeper thermocline in the nonupwelling region off western Sumatra (site 39KL, Fig. 1a, Supplementary Fig. 2).
Rainfall reconstruction. In order to reconstruct the amount of rainfall over the eastern tropical Indian Ocean, which is another characteristic feature of past changes in the Indian Walker LGM values are corrected for relative changes in ice volume (Methods) circulation 13, 14 , we analysed the stable hydrogen isotope composition (δD) of terrestrial plant waxes (Fig. 1b). In the tropics, a lower δD of precipitation indicates an increase in the amount of rainfall 19 , which is reflected by lower δD values of less degraded plant waxes 20,21 in our records (Fig. 3). Our results for the late Holocene corroborate this inference and depict the observed present-day spatial pattern in the amount of rainfall that is highest over central Sumatra and decreases slightly towards the northwest, and considerably towards the southeast (Fig. 1b) Table 2) suggests an almost one-to-one relationship (r 2 = 0.81, p < 10 −4 ) between zonal wind anomalies and thermocline depth in the equatorial Indian Ocean (Fig. 4).

Discussion
Our LGM to late Holocene ΔT comparison in the eastern tropical Indian Ocean indicates a considerably deeper thermocline during the LGM and a stronger Walker circulation during a globally cooler climate. Notably, average ΔT values during the LGM are relatively similar at site GeoB 10038-4, regardless of the species used for thermocline temperature reconstruction (green open symbols in Fig. 1a). Modern results based on surface sediments show that the temperature signature carried by thermocline dwellers converge when the thermocline is warmer and deeper, and diverge when the thermocline is shallower and cooler 24 . Therefore, the similarity between the ΔT values during the LGM additionally supports our inference of a deeper thermocline and a stronger Walker circulation. The southern part of the study area lies within the Australian-Indonesian monsoon realm with an upwelling system that is governed by the seasonally reversing monsoon winds. In this region, dry southeasterly surface winds originating from the high pressure cell over Australia induce seasonal upwelling during boreal summer from June to September. On average, SST drops from mean annual values of~28 to~25°C during this season, when the mixed layer is only about 20 m thick (World Ocean Atlas 2009 25 , hereafter WOA09). During the rest of the year, the wind direction is generally reversed and moist air is transported east-and southeastward resulting in downwelling and high SST of >28°C, a relatively thick mixed layer around 70 m and a deep thermocline (WOA09).
The two southern records of ΔT (sites GeoB10038-4 and 10053-7) lie within the upwelling area of the eastern Indian Ocean and thus, are additionally affected by changes in the meridional Hadley circulation and the southeasterly monsoon winds [26][27][28][29] . Reconstructions of marine productivity that is related to the upwelling intensity in this region 30,31 indicate higher productivity during the late Holocene compared to the LGM 26, 32 . A stronger upwelling and a shallower thermocline in the eastern Indian Ocean during the late Holocene would make the surface cooling more effective and weaken the convective activity and consequently, slowdown the Walker circulation 1,13 . This scenario can be best observed presently during the IOD events, when anomalous southeasterly winds shoal the thermocline in this area and weaken the Walker circulation over the Indian Ocean 1, 14 (Supplementary Figs. 1-2).
The northern part of the study area off west Sumatra lies outside the Australian-Indonesian monsoon realm and is considered a deep tropical non-upwelling region with year-round high rainfall and a deep thermocline (see also ref. 29 ). As part of the Indo-Pacific Warm Pool, mean annual SST in this region is above 28°C with little seasonal variability. Observation and model studies show that the thermocline depth and rainfall in the eastern tropical Indian Ocean are the most sensitive diagnostic tools for detecting changes in the zonal atmospheric circulation and convection in the Indian Ocean, i.e. the Indian Walker circulation 13 . We note that the ΔT results from our site SO189-39KL from a non-upwelling region that is not affected by ocean circulation 29,33 indicate that any potential scenario must involve a stronger Walker circulation during the LGM compared to the late Holocene.
We consider the Indian Ocean as the primary moisture source for rainfall at our sites 22 , both for the late Holocene and the LGM 34 . The subduction of the Indian Ocean Plate beneath the Sunda Plate forms the~3000 km long and up to 3800 m high volcanic arc mountain chains of the Barisan Mountains in Sumatra to the Priangan and the Dieng Mountains in Java since the Oligocene 35 . These orographic barriers inhibit the inflow of low-level winds from moisture sources other than the Indian Ocean to the study area. The blocking effect of these mountains is supposed to change only on tectonic timescales, i.e. millions of years, rendering changes in the moisture source of this region during the LGM unlikely.
Our δD results from four sites that lie beneath the ascending branch of the Indian Walker circulation suggest a higher rainfall amount during the LGM compared to the late Holocene (Fig. 1b), and are consistent with another regional δD reconstruction 34 . Furthermore, the higher concentrations of less degraded plant waxes in the LGM samples (Fig. 3, Supplementary Data 1) suggest a higher supply of plant debris in the LGM compared to the late Holocene and indicate a higher vegetation cover and/or discharge into the ocean. In combination, these findings indicate higher rainfall over the eastern tropical Indian Ocean and combined with a deeper thermocline, a stronger Walker circulation over the Indian Ocean during the LGM compared to the late Holocene. It is noteworthy that the spatial pattern of change in our δD and ΔT records, with a similar sign of change at all sites but with the highest rate of change off southwest Sumatra resembles hydrological changes related to ENSO and IOD, when substantial changes in the Indian Walker circulation occur ( Supplementary  Fig. 1).
In the two glacial climate model simulations with maximum westerly surface wind anomalies along the equatorial Indian Ocean (CCSM3 and FGOALS-g1.0) the deepening of the thermocline is sufficiently strong to induce warmer-than-today eastern equatorial Indian Ocean subsurface temperatures in the LGM ( Supplementary Fig. 3), consistent with our proxy records, while LGM subsurface cooling in the eastern Indian Ocean is simulated by the other models (not shown). The westerly wind anomalies are associated with a strengthening of the Indian Walker circulation implying anomalous ascent of air over the eastern equatorial Indian Ocean and anomalous subsidence over the western portion (Fig. 5), in accordance with our records from the eastern tropical Indian Ocean (Fig. 1). An anti-correlation of the zonal surface wind anomalies with upper-tropospheric zonal wind anomalies aloft (r 2 = 0.55, p < 10 −2 ) confirms the involvement of the zonal overturning Indian Walker circulation ( Supplementary  Fig. 4).
While FGOALS-g1.0 produces strongly enhanced ascent almost everywhere over the Maritime Continent (Fig. 5d), anomalous ascent in CCSM3 is restricted to the western part of the Maritime Continent and the adjacent seas, whereas anomalous subsidence is simulated over the eastern region of the Maritime Continent (Fig. 5b). This scenario agrees with our findings but is at odds with most LGM simulations of the regional tropical circulation and hydroclimate [11][12][13] . We infer that during the LGM, convection and rainfall over the western part of the IPWP was stronger than today as a result of a stronger Walker circulation, while further to the east, anomalous subsidence 1.5

Weaker Stronger
LGM thermocline relative to modern

Shallower
LGM westerly wind relative to modern  Fig. 4 LGM thermocline depth anomaly in the eastern Indian Ocean vs. equatorial Indian Ocean zonal wind anomaly as simulated in PMIP2 and PMIP3/CMIP5 models. ΔT is used as a measure for thermocline depth and defined as the annual mean temperature difference between surface and 70 m averaged over the eastern Indian Ocean region 4°N-6°S, 94°E-104°E . U eq is defined as the annual mean zonal low-level (925 hPa) wind averaged over 5°N-5°S, 50°E-100°E (Fig. 5). Shown are LGM anomalies relative to pre-industrial control runs for both quantities. The models are numbered as in Supplementary Table 2. Models with strongest LGM thermocline deepening and westerly wind anomalies are CCSM3 (No. 13) and FGOALS-g1.0 (No. 14) resulted in drier conditions over the Maritime Continent, as indicated by various proxy and model studies (cf. ref. 13 ).
In our model analysis, we show that the depth of the tropical eastern Indian Ocean thermocline is well correlated with the equatorial zonal wind strength and hence a reliable indicator for changes in the Indian Ocean Walker circulation (Fig. 4). In an earlier study 12 , the strength of the LGM Indian Ocean Walker circulation was inferred from a compilation of hydroclimate proxies in the Indo-Pacific region and comparison to PMIP model output. There, model agreement with the proxies was quantified by using a Cohen's κ statistic, which is defined as the observed fractional agreement relative to the probability of random agreement. Surprisingly, we find that there is no significant correlation (r 2 = 0.36, p > 0.05) between LGM zonal wind anomalies over the equatorial Indian Ocean and the degree of model-proxy agreement for rainfall reconstructions as quantified by the published maximum Cohen's κ ( Supplementary Fig. 5). The same holds true for sea surface salinity reconstructions compiled in the same study (r 2 = 0.25, p > 0.05).
Besides the fact that modelling the Maritime Continent rainfall is generally a challenge for climate models 36 , we surmise that three major factors are responsible for the absence of correlation between the synthesized hydroclimate reconstruction and the Indian Ocean Walker circulation: firstly, the proxy data set considered previously 12, 13 comprises a too large region (25°S -20°N, 25°E-170°E) containing many sites that are outside the influence of the Indian Ocean Walker cell; secondly, at many sites contained in the proxy compilation rainfall is controlled by orographic effects not resolved in the relatively coarse-resolution PMIP climate models, e.g. along the mountainous areas of western Sumatra that receive moisture from the Indian Ocean 22 ; hence, regional-scale rainfall patterns are generally simulated with low skill-level in global climate models; lastly, several proxies included in those compilations 12,13 are not straightforwardly related to local precipitation rate. For instance, surface salinity and rainfall decrease in the eastern tropical Indian Ocean during a weak Walker circulation year, and increase during a strong Walker circulation year, while salinity does not change considerably in the western Indian Ocean in both years 15 , thus questioning the feasibility of salinity as a reliable measure of rainfall changes.
Our results from two robust proxies for wind strength and precipitation changes from sites beneath the ascending branch of the Indian Ocean Walker cell are at odds with most of the IPWP climate simulations for the LGM 10,23 . However, our model-data approach provides a scenario that reconciles the discrepancy in the data and model results of the present and past hydroclimate in this region. Moreover, the inferred scenario of a weaker Walker circulation during the late Holocene from our proxy records, as also simulated by CCSM3 and FGOALS-g1.0, is similar to the projected changes of the Walker circulation over the Indian Ocean during the 21st century greenhouse warming 1,37 . We note that several forcings besides temperature were different during the LGM compared to the late Holocene, such as ice sheet and insolation, and require further numerical experiments studying the impact of each of these forcings on Walker circulation  Fig. 5 LGM climate anomalies in the Indian Ocean region as simulated by CCSM3 and FGOALS-g1.0. Shown are LGM anomalies (annual mean) relative to pre-industrial control runs for ΔT (defined as ocean temperature difference between surface and 70 m as a measure for tropical thermocline depth) and low-level (925 hPa) wind (a, c) and vertical velocity (ω) between 5°S and 5°N (b, d) for the two climate models with greatest LGM thermocline deepening in the eastern equatorial Indian Ocean and strongest equatorial westerly wind anomalies (Nos. 13 and 14 in Fig. 4), CCSM3 (a, b) and FGOALS-g1.0 (c, d). Grey box in a shows the region for calculating area-averaged ΔT in all the models in Fig. 4, while the grey box in c shows the region for averaging U eq . Modern coastlines are drawn in a and c for better orientation changes. Despite different forcing factors, our results provide evidence for the theoretically projected changes in the strength of the tropical circulation during the 21st century 2, 3 and suggest that the zonal circulation will further slow down with continued warming. Finally, a weaker Indian Walker circulation as recorded in our data resembles a positive Indian Ocean Dipole state and supports the projected increase in the frequency of extreme positive IOD events in the 21st century, implying severe impacts on hydroclimate around the Indian Ocean and beyond 37 . Planktic foraminifera and thermocline reconstruction. All cores used in this study lie above the calcite lysocline and contain well-preserved aragonitic pteropods that suggest a negligible effect of dissolution on planktic foraminifera shell geochemistry. Previous studies on surface sediments 24 For G. tumida 24 : The use of other calibrations would change the absolute values but not the pattern of change that is central to this study, as demonstrated in Fig. 2. Core-top studies from hypersaline regions such as the Mediterranean Sea with salinities above 36 psu suggest that the Mg/Ca ratio in planktic foraminifera shells is additionally controlled by salinity 43 . Data from the IPWP core tops do not show a salinity effect on Mg/Ca as the 36 psu threshold is out of reach in this rainladen region 44 . Errors (1σ) were calculated following Gibbons et al. 44 and Mohtadi et al. 29 , and the 95% confidence intervals are based on t-distributed samples in each time interval and indicated by vertical bars (Fig. 1a, Supplementary  Data 1).
Results from modern samples corroborate the use of the difference between the Mg/Ca-based temperatures of a surface-and a thermocline-dweller (ΔT) for reconstructing changes in the thermocline depth. This difference in the sediment trap time-series JAM1-2 deployed off south Java 39 is smallest during the northwest monsoon season (~2°C), when high precipitation is accompanied by a warm and deep thermocline 39 . In contrast, the largest difference (~5°C) occurs when thermocline is shallow and cool during the dry southeast monsoon season 39 . Likewise, Mg/Ca-based temperature estimates in 70 surface sediment samples from this region show that the ΔT between G. ruber and P. obliquiloculata or N. dutertrei follows changes in the stratification of the water column and consequently, the thermocline depth 24 .
Plant wax analyses. We measured three sediment samples per core and period to average internal variability within each time slice (Supplementary Data 1). About 10 g of dried and ground sediments were extracted with a Dionex Accelerated Solvent Extractor (ASE-200) at 100°C and 1000 psi with a mixture of dichloromethane/methanol (9:1) for 5 min, which was repeated three times. Squalane was added before extraction as internal standard. Asphaltenes were removed from the total lipid extracts (TLEs) by elution with hexane over Na 2 SO 4 . TLEs were saponified by 6% KOH in methanol and acid fractions removed. Neutral fractions were separated into aliphatic (apolar), ketone and polar fractions on a silica gel column. Afterwards the aliphatic fraction was separated on an AgNO 3 -impregnated silicacolumn into saturated and unsaturated fractions, of which the first fraction contains the n-alkanes. Quantification of n-alkanes was performed by gaschromatography-flame ionization detection (GC-FID) on a ThermoFisher Scientific Focus gas chromatograph. Alkanes were identified and quantified by comparison of retention times and peak areas with an external standard mixture. Repeated analyses of the external standard mixture yield a quantification uncertainty of <5%. The n-C 31 alkane was the most abundant homologue in all samples. Concentrations varied from 90 to 640 ng g −1 dry sed. and were consistently higher in LGM than Holocene samples (ED 5-6). The carbon preference index (CPI) was calculated to: with C x the amount of each homologue 45 . CPI values of individual samples varied between 2.6 and 6.8 (Supplementary Data 1). On average, the CPI values for the LGM time-slices were higher than for the Holocene samples at each site (Fig. 3). In conjunction, sedimentary concentrations and CPI values indicate a higher contribution of undegraded, i.e. directly plant-derived, long-chain n-alkanes to the LGM sediments compared to the Holocene.
Hydrogen isotope compositions were analysed on a ThermoFisher Scientific Trace gas chromatograph connected to a ThermoFisher Scientific MAT 253 mass spectrometer via a pyrolysis reactor operated at 1420°C. Isotope values were measured against calibrated H 2 reference gas. δD values are reported in ‰ relative to VSMOW. The H 3+ factor was determined daily and varied around 6.23 ± 0.04 ppm nA −1 during analyses. An alkane standard of 16 externally calibrated alkanes was measured after every 6th measurement. Long-term precision and accuracy of the external alkane standard were 3 and <1‰, respectively. All samples were run at least in duplicate. δD values of the n-C 31 alkane varied from −150 to −174 ‰ (Supplementary Data 1). Reproducibility for the n-C 31 alkane was on average 1‰ (<1 to 4‰). Precision and accuracy of the squalane internal standard were 6 and 4‰, respectively (n = 34). Mean values and average standard deviation of δD values were calculated for each time slice and are reported within 95% confidence intervals. We correct δD values for global seawater isotopic changes during the LGM. The ice volume correction 46 was converted to δD values using the global meteoric water line 47 . The ice-volume correction shifts the δD values during the LGM by −9.1‰.
Model simulations. To test the relation between glacial anomalies in zonal equatorial winds and thermocline depth in the Indian Ocean we use LGM and pre-industrial coupled climate model simulations from PMIP2 and PMIP3/ CMIP5 10,23 .
LGM boundary conditions include reduced greenhouse gases, changed astronomical parameters, continental ice sheets and a changed land-sea mask in accordance with a~120 m lower global sea level compared to today (see https:// pmip2.lsce.ipsl.fr and https://pmip3.lsce.ipsl.fr for details). See Supplementary Table 2 for climate models used in PMIP2 and PMIP3/CMIP5. All model analyses are based on climatological annual means.
Data availability. The authors declare that the data supporting the findings of this study are available within the paper and its supplementary information files. Data can also be downloaded at https://doi.pangaea.de/10.1594/PANGAEA.877994 Received: 14 April 2017 Accepted: 31 July 2017