Journal cover Journal topic
Climate of the Past An interactive open-access journal of the European Geosciences Union
Journal topic
Clim. Past, 14, 1869–1879, 2018
https://doi.org/10.5194/cp-14-1869-2018

Special issue: The 4.2 ka BP climatic event

Clim. Past, 14, 1869–1879, 2018
https://doi.org/10.5194/cp-14-1869-2018

Research article 30 Nov 2018

Research article | 30 Nov 2018

# Evaluating the timing and structure of the 4.2 ka event in the Indian summer monsoon domain from an annually resolved speleothem record from Northeast India

Evaluating the timing and structure of the 4.2 ka event in the Indian summer monsoon domain from an annually resolved speleothem record from Northeast India
Gayatri Kathayat1, Hai Cheng1,2, Ashish Sinha3, Max Berkelhammer4, Haiwei Zhang1, Pengzhen Duan1, Hanying Li1, Xianglei Li1, Youfeng Ning1, and R. Lawrence Edwards2 Gayatri Kathayat et al.
• 1Institute of Global Environmental Change, Xi'an Jiaotong University, Xi'an, China
• 2Department of Earth Sciences, University of Minnesota, Minneapolis, USA
• 3Department of Earth Science, California State University Dominguez Hills, Carson, USA
• 4Department of Earth and Environmental Sciences, University of Illinois, Chicago, USA

Correspondence: Gayatri Kathayat (kathayat@xjtu.edu.cn) and Hai Cheng (cheng021@xjtu.edu.cn)

Abstract

A large array of proxy records suggests that the “4.2 ka event” marks an approximately 300-year long period (∼3.9 to 4.2 ka) of major climate change across the globe. However, the climatic manifestation of this event, including its onset, duration, and termination, remains less clear in the Indian summer monsoon (ISM) domain. Here, we present new oxygen isotope (δ18O) data from a pair of speleothems (ML.1 and ML.2) from Mawmluh Cave, Meghalaya, India, that provide a high-resolution record of ISM variability during a period (∼3.78 and 4.44 ka) that fully encompasses the 4.2 ka event. The sub-annually to annually resolved ML.1 δ18O record is constrained by 18 230Th dates with an average dating error of ±13 years (2σ) and a resolution of ∼40 years, which allows us to characterize the ISM variability with unprecedented detail. The inferred pattern of ISM variability during the period contemporaneous with the 4.2 ka event shares broad similarities and key differences with the previous reconstructions of ISM from the Mawmluh Cave and other proxy records from the region. Our data suggest that the ISM intensity, in the context of the length of our record, abruptly decreased at ∼4.0 ka ($\sim ±\mathrm{13}$ years), marking the onset of a multi-centennial period of relatively reduced ISM, which was punctuated by at least two multi-decadal droughts between ∼3.9 and 4.0 ka. The latter stands out in contrast with some previous proxy reconstructions of the ISM, in which the 4.2 ka event has been depicted as a singular multi-centennial drought.

Figure 1Location map and spatial structure of mean JJAS precipitation and low-level winds. (a) June–July–August–September (JJAS) precipitation from the Tropical Rainfall Measuring Mission (TRMM). The locations of Mawmluh Cave (white circle) and other proxy records mentioned in the text (yellow circles and numbers). The numbering scheme is as follows: 1, Sahiya Cave (Kathayat et al., 2017); 2, Lake Rara (Nakamura et al., 2016); 3, Kotla Dhar (Dixit et al., 2014); 4, Mawmluh Cave (Berkelhammer et al., 2012); and 5, Indus Delta (Staubwasser et al., 2003). (b)The 850 hPa monsoon vector from zoomed Laboratoire de Meteorologie Dynamique (LMDZ) general circulation model with telescoping zooming (figure adapted and modified from Sabin et al., 2013). The zoom version shows a well-defined cyclonic circulation with westerlies on the southern flanks and easterly winds on the northern flanks of the monsoon trough. The Mawmluh Cave is ideally located to record upstream variations in the overall strength of the ISM (see text).

1 Introduction

The time interval between 4.2 and 3.9 ka (thousand of years before present, where present is 1950 CE) constitutes an important period from both climatological and archeological perspectives (e.g., Weiss et al., 1993; Cullen et al., 2000; Staubwasser et al., 2003; Berkelhammer et al., 2012; Weiss, 2016). A global suite of proxy records shows widespread climate anomalies during the time (commonly referred to as the “4.2 ka event”; e.g., Cullen et al., 2000; Staubwasser et al., 2003; Arz et al., 2006; Drysdale et al., 2006; Menounos et al., 2008; Liu and Feng, 2012; Berkelhammer et al., 2012; Dixit et al., 2014, 2018; Cheng et al., 2015; Nakamura et al., 2016; Railsback et al., 2018). Additionally, a number of archeological studies also suggest that the 4.2 ka event was associated with a series of cultural and societal changes in the Mediterranean, Middle East, Africa, and South and East Asia (e.g., Weiss et al., 1993; Enzel et al., 1999; Cullen et al., 2000; Staubwasser et al., 2003; Marshall et al., 2011; Liu and Feng, 2012; Dixit et al., 2014; Weiss, 2016). For example, the 4.2 ka event has been proposed to have contributed to collapses of the early Bronze Age civilizations, including the Longshan culture in China (Chang, 1999; Liu and Feng, 2012), the Egyptian Old Kingdom by the Nile River (Stanley et al., 2003), and the Akkadian Empire in Mesopotamia (Weiss et al., 1993; Cullen et al., 2000). In South Asia, the 4.2 ka event has been linked to a weakening of the Indian summer monsoon (ISM) and the ensuing de-urbanization of the Indus Valley Civilization (Staubwasser et al., 2003; Madella and Fuller, 2006; Dixit et al., 2014, 2018; Giosan et al., 2012; Berkelhammer et al., 2012; Kathayat et al., 2017).

Table 1230Th dating results with the 2σ analytical error.

a ${\mathit{\delta }}^{\mathrm{234}}\mathrm{U}=\left(\left[{}^{\mathrm{234}}\mathrm{U}/{}^{\mathrm{238}}\mathrm{U}{\right]}_{\mathrm{activity}}-\mathrm{1}\right)×\mathrm{1000}$. b δ234Uinitial was calculated based on 230Th age (T), i.e., ${\mathit{\delta }}^{\mathrm{234}}{\mathrm{U}}_{\mathrm{initial}}={\mathit{\delta }}^{\mathrm{234}}{\mathrm{U}}_{\mathrm{measured}}×{e}^{l\mathrm{234}×T}$. Corrected 230Th ages assume the initial 230Th∕232Th atomic ratio of $\mathrm{4.4}±\mathrm{2.2}×{\mathrm{10}}^{-\mathrm{6}}$. Those are the values for a material at secular equilibrium, with the bulk earth 232Th∕238U value of 3.8. The errors are arbitrarily assumed to be 50 %. c BP stands for “before present” where the “present” is defined as the year 1950 CE.

Figure 2Proxy records from the Indian subcontinent. The select proxy records from the Indian monsoon domain from the top are Kotla Dhar (Dixit et al., 2014), Lake Rara (Nakamura et al., 2016), Lonar Lake (Sarkar et al., 2015), Indus Delta (Staubwasser et al., 2003), Mawmluh Cave (Berkelhammer et al., 2012; purple) and this study (orange), and Sahiya Cave (Kathayat et al., 2017). The yellow bar delineates the commonly accepted temporal duration of the 4.2 ka event (e.g., Weiss, 2016).

A number of proxy records from the Indian subcontinent suggest that a major weakening of the ISM occurred around the 4.2 ka event (Staubwasser et al., 2003; Berkelhammer et al., 2012; Dixit et al., 2014; Nakamura et al., 2016; Kathayat et al., 2017; Figs. 1 and 2). The 4.2 ka event has been generally described as an approximately 2- to 3-centuries-long interval of drought (e.g., Berkelhammer et al., 2012; Dixit et al., 2014; Nakamura et al., 2016), which was superimposed on a longer-term insolation-induced weakening of the ISM during the Holocene (e.g., Kathayat et al., 2017). The timing, structure, and magnitude of the 4.2 ka event in the ISM regime, however, remain unclear because most proxy records from the region have low temporal precision and insufficient resolution to precisely characterize the event (e.g., Staubwasser and Weiss, 2006; Prasad and Enzel, 2006; Nakamura et al., 2016; Dixit et al., 2018). In addition, the 4.2 ka event is notably absent in a recent high-resolution speleothem oxygen isotope (δ18O) record from Sahiya Cave in northern India (Kathayat et al., 2017) that exhibits a long-term drying trend from ∼4.2 to 3.5 ka.

A high-resolution (∼6 years) δ18O record (KM-A) from Mawmluh Cave, located in the state of Meghalaya in Northeast India, has previously provided evidence of the 4.2 ka event from the ISM domain (Berkelhammer et al., 2012). The KM-A record was recently used to formally ratify the post-4.2 ka time as the Meghalayan Age (Walker et al., 2018). However, the timing and duration of the 4.2 ka event in the KM-A record is constrained by only three 230Th dates (5048±32, 4112±30, and 3654±20 ka) and, additionally, the youngest date defining the termination of the event and/or the δ18O values from the top ∼30 mm of the KM-A sample that help define the event may have been potentially affected by diagenetic changes. In this study, we present new high-resolution δ18O data from two stalagmites (ML.1 and ML.2) from the same cave (Figs. 1 and 3, Table 1). The ML.1 and ML.2 δ18O records span from 4.44 to 3.78 ka and 4.53 to 3.70 ka, respectively, encompassing the 4.2 ka event completely. Our new records are sub-annually to annually (ML.1) and sub-decadally resolved (ML.2) and have unprecedented chronologic constraints, which allow us to characterize the nature of ISM variability during the 4.2 ka event more precisely than previously possible.

2 Samples and methods

## 2.1 Cave location and climatology

Mawmluh Cave (251532${}^{\prime \prime }$ N, 914245${}^{\prime \prime }$ E; 1290 m a.s.l.) is located near the town of Sohra (Cherrapunji) at the southern fringe of the Meghalayan Plateau in Northeast India (Fig. 1). The mean annual rainfall is ∼11 000 mm in the region, 70 % of which falls during the peak ISM months (June–September; Murata et al., 2007). The rainfall at the cave site during the ISM period is mainly produced by convective systems and low-level air parcels originating from the Bay of Bengal, which propagate further northward and penetrate farther into the Tibetan Plateau (Sengupta and Sarkar, 2006; Breitenbach et al., 2010). The non-monsoonal component of rainfall is trivial and consists of westerly-related moisture and recycled local moisture (Breitenbach et al., 2010, 2015; Berkelhammer et al., 2012). The cave is overlain by 30–100 m thick and heavily karstified host rock (limestone, sandstone, and a 40–100 cm thick coal layer; Breitenbach et al., 2010). The soil layer above the cave is rather thin (5–15 cm) and covered mainly by grasses and bushes. Cave monitoring data (Breitenbach et al., 2010) indicate that the relative humidity inside the cave is more than 95 % even during the dry season (November to April). Temperature variations in the cave are small (18.0–18.5 C) and close to the mean annual temperature of the area (Breitenbach et al., 2010, 2015). A 3-year cave monitoring result suggests that cave drip-water δ18O signals lag corresponding local rainfall by less than 1 month and thus preserve seasonal signals of ISM rainfall (Breitenbach et al., 2010). Previous studies have indicated that variations in the δ18O of speleothem calcite from Mawmluh Cave reflect changes in the amount-weighted δ18O of precipitation (δ18Op) values (Breitenbach et al., 2010, 2015; Berkelhammer et al., 2012; Myers et al., 2015). The ML.1 and ML.2 samples from Mawmluh Cave were collected in November 2015 at ∼4–5 m above the cave floor and ∼700 m from the cave entrance. Diameters of ML.1 and ML.2 are ∼170 and 165 mm, with lengths ∼315 and ∼311 mm, respectively. Both stalagmite samples were cut along their growth axes using a thin diamond blade. There are no visible changes in the texture or hiatuses in the above sample intervals that we used for this study (Fig. 3).

Figure 3Samples photograph: the total length of ML.1 and ML.2 samples is 315 and 311 mm, respectively. The arrows indicate the dating subsampling location and the 230Th dates with the 2σ analytical error (see also Tables 1 and S1). The centimeter scale indicates the location of isotopic measurements, enclosing the interval of interest within both the samples.

## 2.2 230Th dating

We obtained 18 and 5 230Th dates for samples ML.1 and ML.2, respectively. Subsamples for 230Th dating (∼30 mg) were drilled from ML.1 and ML.2 by using a 0.5 mm carbide dental drill. The 230Th dating was performed at Xi'an Jiaotong University, China, using Thermo-Finnigan Neptune Plus multi-collector inductively coupled plasma mass spectrometers (MC-ICP-MSs). The method is described in Cheng et al. (2000, 2013). We used standard chemistry procedures (Edwards et al., 1987) to separate uranium and thorium. A triple-spike (229Th233U236U) isotope dilution method was used to correct instrumental fractionation and to determine U∕Th isotopic ratios and concentrations (Cheng et al., 2000, 2013). U and Th isotopes were measured on a MasCom multiplier behind the retarding potential quadrupole in the peak-jumping mode using the standard procedures described in Cheng et al. (2000). Uncertainties in U∕Th isotopic measurements were calculated offline at 2σ level, including corrections for blanks, multiplier dark noise, abundance sensitivity, and contents of the same nuclides in spike solution. The U decay constants are reported in Cheng et al. (2013). Corrected 230Th ages assume the initial 230Th∕232Th atomic ratio of $\mathrm{4.4}±\mathrm{2.2}×{\mathrm{10}}^{-\mathrm{6}}$, the values for material at secular equilibrium with the bulk earth 232Th∕238U value of 3.8. The corrections are small because the uranium concentrations of the samples are high (∼6 ppm) and detrital 232Th components are low (average <170 ppt; Tables 1 and S1 in the Supplement).

Figure 4Age models of ML.1 and ML.2 records. We adopted COPRA and generated 2000 realizations of age models to account for the dating uncertainty (2.5 % and 97.5 % quantile) confidence limits. (a) ML-1 age models and modeled age uncertainties using three different age modeling algorithms: COPRA (black) (Breitenbach et al., 2012), Bchron (purple) (Haslett and Parnell, 2008), and ISCAM (red) (Fohlmeister, 2012). The gray band depicts the 95 % confidence interval using COPRA. Error bars on 230Th dates represent a 2σ analytical error. (b) ML.2 age model and modeled age uncertainties using COPRA.

## 2.3 Age models

The ML.1 age models and associated age uncertainties were constructed using the COPRA (Constructing Proxy Records from Age; Breitenbach et al., 2012), Bchron (Haslett and Parnell, 2008), and ISCAM (Fohlmeister, 2012) age modeling schemes (Fig. 4). All three modeling schemes yielded nearly identical results and the conclusions of this study are then not sensitive to the choice of different age models (Fig. 4). The ML.2 age model and associated uncertainties were constructed by only using the COPRA age modeling scheme (Breitenbach et al., 2012; Fig. 4).

## 2.4 Stable isotope analysis

The ML.1 and ML.2 δ18O records are established by ∼970 and ∼238 stable isotope measurements, respectively (Figs. 5, 6 and Table S2). Subsamples for stable isotope measurements were obtained from ML.1 and ML.2 between depths of 125–250 and 182–255 mm (depth from the top), respectively. Accordingly, we report our data with zero depths set at 125 and 182 mm from the top of stalagmites ML.1 and ML.2, respectively (Fig. 3). We used New Wave Micromill, a digitally controlled triaxial micromill instrument, to obtain the subsamples. The sample growth rates were determined by sample age models, which in turn, were used to determine the subsampling increments (typically between 50 and 100 µm) for attaining similar temporal resolutions throughout the sample (typically ∼1 year for the ML.1 δ18O record). The δ18O and δ13C were measured using a Finnigan MAT-253 mass spectrometer coupled with an online carbonate preparation system (Kiel-IV) in the Isotope Laboratory, Xi'an Jiaotong University. Results are reported in per mil (‰) relative to the Vienna Pee Dee Belemnite (VPDB) standard. Duplicate measurements of standards NBS19 and TTB1 show a long-term reproducibility of ∼0.1 ‰ (1σ) or better (Figs. 5, 6 and Table S2)

Figure 5Comparison between ML.1 and ML.2 δ18O profiles over the period of overlap. The ML.1 (a) and ML.2 (b) profiles are on their independent age models. The circles with horizontal error bars depict 230Th dates and errors (2σ; see also Tables 1, S1, and S2). (c) Comparison between the ML.1 and ML.2 δ18O profiles based on the ISCAM algorithm (Fohlmeister, 2012).

Figure 6The δ18O and δ13C profiles of ML.1 and ML.2. (a) The ML.1 δ18O (orange) and δ13C (green). (b) The ML.2 δ18O (purple) and δ13C (blue) on their independent age models. The Pearson correlation (r) and its 95 % confidence interval together with actual and effective sample size (after considering autocorrelation in each profile) are shown in the figure.

## 2.5 Replication and isotopic equilibrium

Excellent replication between the ML.1 and ML.2 δ18O profiles (Fig. 5) suggests that the precipitation of speleothem calcite in Mawmluh Cave essentially occurred at or near isotopic equilibrium conditions and the speleothem δ18O records primarily reflects the meteoric precipitation δ18O variations (Dorale et al., 1998; Wang et al., 2001). A high degree of replication has been argued as a definitive test of isotopic equilibrium. This is because if the records replicate, the effect of additional kinetic and/or vadose-zone processes on the calcite δ18O must have been either absent or exactly the same for spatially separated stalagmites. Principally, each speleothem–drip-water pair can have a distinctive combination of flow path, CO2 content, residence time, solute concentrations, and prior calcite precipitation (PCP) history in the soil zone and epikarst above cave. Thus, the replication of different speleothem records suggests that such additional processes are not crucial. We assessed the degree of replication between ML.1 and ML.2 δ18O records by using the ISCAM (intra-site correlation age modeling) algorithm (Fohlmeister, 2012). The ISCAM finds the best correlation between proxy records within the combined age uncertainties of two records by using a Monte Carlo approach. Significant levels were calculated against a red-noise background from 1000 pairs of artificially simulated first-order autoregressive time series (AR1). The ML.1 and ML.2 δ18O time series on ISCAM-derived age models display a statistically significant correlation (r=0.58 at 95 % confidence level) over their contemporary growth period between ∼4.4 and 3.8 ka.

3 Results

The average 230Th dating uncertainties of the ML.1 and ML.2 records are ±13 and ±16 years, respectively (Fig. 3, Tables 1 and S1). Temporal resolutions of the ML.1 δ18O record range from ∼0.1 to ∼3 years with an average resolution of ∼1 year. All dates are in stratigraphic order within dating uncertainties. Of note, 9 ML.1 230Th dates were obtained between 27 and 88 mm depths (i.e., about one date every 7 mm), covering the interval from 4.2 to 3.9 ka, the typical time range of the 4.2 ka event. The ML.1 and ML.2 δ18O values range between −6.6 and −4.8 ‰ with mean values of −5.80 and −5.43 ‰, respectively (Fig. 5). The average temporal resolution of the ML.2 record is ∼5 years (Fig. 5). The δ13C values in ML.1 and ML.2 range between −2.8 ‰ and 1.0 ‰ with mean values of −1.0 ‰ and −0.8 ‰, respectively (Fig. 6).

4 Discussion and conclusions

## 4.1 Proxy interpretations

The temporal variability in ISM δ18Op and consequently speleothem δ18O in the study area has been well studied previously and attributed mainly to changes in spatially integrated upstream rainfall at cave sites (e.g., Sinha et al., 2011a; Breitenbach et al., 2010, 2015; Berkelhammer et al., 2012; Kathayat et al., 2016; Cheng et al., 2016). A number of model simulations with isotope-enabled general circulation models (GCMs) also suggest a significant inverse relationship between upstream ISM rainfall amount and the δ18Op variations over the Indian subcontinent (e.g., Vuille et al., 2005; Pausata et al., 2011; Berkelhammer et al., 2012; Sinha et al., 2015; Midhun and Ramesh, 2016). Following these reasonings, we interpret the low and high δ18O values in our records to reflect strong and weak ISM, respectively (e.g., Dayem et al., 2010; Sinha et al., 2011b, 2015; Cheng et al., 2012; Berkelhammer et al., 2012; Breitenbach et al., 2015; Myers et al., 2015; Kathayat et al., 2016, 2017). Climatic interpretations of the speleothem δ13C signal, however, are more complex because the δ13C variations can be driven by climatic changes and non-climate-related local processes (Baker et al., 1997; Genty et al., 2003; Fairchild and Treble, 2009; Fohlmeister et al., 2011; Deininger et al., 2012; Scholz et al., 2012). A moderate to strong covariance between the ML.1 and ML.2 δ13C and δ18O profile values (r=0.49 and 0.66, respectively) suggests that both proxies reflect a common response to changes in the local hydrology of the region; however, we cannot rule out non-climate-related factors in producing this observed relationship. Consequently, the interpretative framework used in this study is mostly based on the speleothem δ18O variability.

Figure 7Comparison between the KM-A, ML.1, and ML2 δ18O profiles: (a) an image of KM-A stalagmite (Berkelhammer et al., 2012). The yellow dots indicate three 230Th dates. The black curve marks the potential dissolution surface. The white aragonite layer above the dissolution surface was deposited after the 1950s with the advent of limestone mining above the Mawmluh Cave (Breitenbach et al., 2010). (b) The dotted lines delineate the portion of the KM-A δ18O record (red; ∼4.4 ka to 3.654 ka) (Berkelhammer et al., 2012) discussed in the text. (c) The ML.2 δ18O profile (blue) (this study) is overlaid by a 6-year interpolated ML.1 δ18O profile (green) (this study; see also Table S2). The horizontal error bars (red, green, and blue) on the 230Th dates represent a 2σ analytical error. The vertical gray bar indicates the inferred duration of weakest (driest phase) ISM as indicated by the KM-A and ML δ18O records. The yellow bar indicates the interval of anomalously depleted δ18O values in the KM-A record.

## 4.2 Comparisons between the KM-A and ML.1–ML.2 δ18O records

The 4.2 ka event in the KM-A record (Berkelhammer et al., 2012) manifests as a two-step change marked by an initial increase in the δ18O values (∼0.6 ‰) between ∼4.31 and 4.30 ka, followed by another abrupt increase between ∼4.07 and 4.05 ka. The period between 4.05 and 3.87 ka in the KM-A profile is characterized by the most enriched δ18O values over the entire record (∼1.5 ‰ higher than the background values before the event; Fig. 7), delineating ∼180 years of substantially weaker ISM. This multi-centennial period of enriched δ18O values was terminated abruptly by a sharp return (<20 years) to depleted δ18O values, implying a resumption of stronger monsoon. The ML.1 and ML.2 δ18O profiles during the contemporaneous period with the KM-A record, however, exhibit no step-like increase around ∼4.3 ka but instead an abrupt increase in the δ18O values at ∼4.01 ka, which are superimposed over a gradually increasing trend over the entire length of the records. The timings and magnitude of this abrupt increase in the δ18O values in both the ML.1 and ML.2 profiles are comparable to those observed in the KM-A profile (within the combined age uncertainties of both records; Fig. 7). A key difference between the KM-A, ML.1, and ML.2 δ18O profiles, however, is the absence of a sharp decrease in the δ18O values at ∼3.87 ka in our records, which marks the termination of the 4.2 ka event in the KM-A record. One possible explanation for this apparent difference is the large uncertainties of the KM-A record. Another plausible source of the difference may stem from the dissolution of speleothem calcite in the KM-A sample between 0 and 29 mm depths (corresponding to ∼3.65 and 5.08 ka; Fig. 7), which may have either altered the age of the top date of the KM-A (i.e., making it younger than its true age) or affected the δ18O values of calcite during this period. However, without a comprehensive, petrographic examination of the KM-A sample, we are unable to assess the aforementioned reasons for such differences.

Figure 8The inferred pattern of ISM variability during the 4.2 ka event: the ML.1 δ18O record is shown here as z score (left y axis) and anomalies (right y axis). The horizontal dashed lines indicate 1 standard deviation and the vertical color-saturated shaded bars denote periods of inferred drier (yellow) pluvial (green) and variable conditions. The vertical red bars delineate the periods of multi-decadal droughts (z score >1). The horizonal dashed double arrows mark the commonly accepted duration of the 4.2 ka event (see text) and the horizontal shaded bars indicate broad hydroclimate patterns inferred from other regional proxy records as mentioned in the text (see also Figs. 1 and 2). The circles with 2σ error bars show a subset of 230Th dates (see Tables 1 and S1 for a complete listing of 230Th dates).

## 4.3 The ISM variability and possible climate forcing

The z-score-transformed ML.1 δ18O profile (Fig. 8) illustrates the ISM variability between ∼3.8 and 4.6 ka. The z score is calculated by using the equation of the form $z=\left(x-\mathit{\mu }\right)/\mathit{\sigma }$, where x represents the individual ML.1 δ18O value, and μ and σ are the mean and the standard deviation of the entire ML.1 δ18O record. The interval marking the onset of the 4.2 ka event in our record (∼4.255 ka) is indicated by a transition from pluvial (inferred by the lower δ18O values) to variable ISM (dry–wet) conditions, with the latter superimposed by a few short-term (< decade) droughts (Fig. 8). Subsequently, the period between 4.07 and ∼4.01 ka is marked by persistently lower δ18O values, implying stronger ISM (Fig. 8). The latter was terminated by a rapid increase in the δ18O values (∼1.0 ‰, Fig. 5), suggesting an abrupt weakening of the ISM at ∼4.01 ka that occurred within a period of ∼10 years. Notably, as discussed above, the ML.1 and ML.2 δ18O profiles show gradual increasing trends over the entire length of the record, which was punctuated by two multi-decadal weak monsoon events centered at ∼3.970 (∼20 years) and ∼3.915 ka (∼25 years), respectively (Fig. 8). These aspects of our ISM reconstruction differ from previous proxy records from the ISM domain, which typically portray the 4.2 ka event as a multi-century drought (e.g., Berkelhammer et al., 2012; Dixit et al., 2014). Our new data, however, demonstrate that prominent decadal to multi-decadal variability, together with the intermittent occurrence of multi-decadal periods of low rainfall, was the dominant mode of ISM variability during the period coeval with the 4.2 ka event (Figs. 5 and 8). These observations are consistent with previous reconstructions of ISM variability from high-resolution proxy records from the Indian subcontinent over the last 2 millennia (e.g., Sinha et al., 2011a, 2015; Kathayat et al., 2017) as well as during the instrumental period (e.g., Krishnamurthy and Shukla, 2000; Goswami et al., 2006). Periodic perturbations in coupled modes of ocean–atmosphere variability, such as the El Niño–Southern Oscillation (ENSO), and/or dynamical processes intrinsic to the monsoon system, such as quasi-periodic episodes of intense (“active”) and reduced (“break”) monsoon rainfall, are key processes that are known to produce multi-decadal periods of droughts over large parts of Asia. For instance, Sinha et al. (2011b) suggest that ISM circulation can “lock” into decadal to multi-decadal periods of a “break-dominated” mode of ISM circulation that promotes enhanced convection over the eastern equatorial Indian Ocean, which in turn suppresses convection and rainfall over the continental monsoon regions. Additionally, the source of multi-decadal droughts may stem from the switch-on of the modern ENSO regime around the 4.2 ka event, which would presumably also weaken the ISM (e.g., Donders et al., 2008; Conroy et al., 2008).

In conclusion, our new record from the Mawmluh Cave in Meghalaya, India, provides a high-resolution history of ISM during a period contemporaneous with the 4.2 ka event. While our record shares broad similarities with a previous lower-resolution (∼6 years) reconstruction of ISM from the same cave (Berkelhammer et al., 2012), key differences between the two records are also evident, which are likely due to the more refined age controls (approximately nine 230Th dates spanning the 4.2 ka event interval and the higher (annual) temporal resolution of our record). Our reconstruction suggests that the ISM exhibited prominent decadal to multi-centennial variability, including sporadic but prominent multi-decadal periods of reduced ISM rainfall (droughts), during the period spanning the 4.2 ka event. These aspects of our reconstruction are qualitatively similar to ISM variability during the late and middle Holocene as inferred from the previous speleothem-based reconstructions of ISM from the Indian subcontinent (e.g., Kathayat et al., 2017).

Data availability
Data availability.

All data needed to evaluate the conclusions in the paper are presented in the paper. Additional data related to this paper may be requested from the authors. The data will be archived at the NOAA National Climate Data Center (https://www.ncdc.noaa.gov/data-access/paleoclimatology-data, last access: 26 November 2018). Correspondence and requests for materials should be addressed to Gayatri Kathayat (kathayatgayatrintl@gmail.com, kathayat@xjtu.edu.cn) and Hai Cheng (cheng021@xjtu.edu.cn).

Author contributions
Author contributions.

GK and HC designed the research and experiments. GK wrote the first draft of the paper. HC, AS, and MB revised the paper. GK, HC, and XL did the fieldwork and collected the samples. GK, HC, HZ, and RLE conducted the 230Th dating. GK, PD, and HL conducted the oxygen isotope measurements. All authors discussed the results and provided inputs on the paper.

Competing interests
Competing interests.

The authors declare that they have no conflict of interest.

Special issue statement
Special issue statement.

This article is part of the special issue “The 4.2 ka BP climatic event”. It is a result of “The 4.2 ka BP Event: An International Workshop”, Pisa, Italy, 10–12 January 2018.

Acknowledgements
Acknowledgements.

We thank Giovanni Zanchetta and the two anonymous reviewers for their comments that helped improve the original paper. We thank Digambar Singh Chauhan, Chetan Singh Chauhan, Aditya Singh Kathayat, Geetanjali Kathayat, Neha Pant, Sanjay Melkani, Clive Dunnai, Ardy Dunnai, and Ceejey Dunnai for their assistance during the fieldwork. This work is supported by grants from the Natural Science Foundation of China to Gayatri Kathayat (NSFC 41703007), Hai Cheng (NSFC 41731174 and 4157020432), R. Lawrence Edwards and Hai Cheng (NSF 1702816), and Haiwei Zhang (NSFC 41502166).

Edited by: Giovanni Zanchetta
Reviewed by: two anonymous referees

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