Journal cover Journal topic
Climate of the Past An interactive open-access journal of the European Geosciences Union
Journal topic
CP | Articles | Volume 14, issue 2
Clim. Past, 14, 193–214, 2018
https://doi.org/10.5194/cp-14-193-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Clim. Past, 14, 193–214, 2018
https://doi.org/10.5194/cp-14-193-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 21 Feb 2018

Research article | 21 Feb 2018

The Ross Sea Dipole – temperature, snow accumulation and sea ice variability in the Ross Sea region, Antarctica, over the past 2700 years

The Ross Sea Dipole – temperature, snow accumulation and sea ice variability in the Ross Sea region, Antarctica, over the past 2700 years
Nancy A. N. Bertler1,2, Howard Conway3, Dorthe Dahl-Jensen4, Daniel B. Emanuelsson1,2, Mai Winstrup4, Paul T. Vallelonga4, James E. Lee5, Ed J. Brook5, Jeffrey P. Severinghaus6, Taylor J. Fudge3, Elizabeth D. Keller2, W. Troy Baisden2,b, Richard C. A. Hindmarsh7, Peter D. Neff1,2,c, Thomas Blunier4, Ross Edwards8,a, Paul A. Mayewski9, Sepp Kipfstuhl10, Christo Buizert5, Silvia Canessa2, Ruzica Dadic1, Helle A. Kjær4, Andrei Kurbatov9, Dongqi Zhang11,12, Edwin D. Waddington3, Giovanni Baccolo13, Thomas Beers9, Hannah J. Brightley1,2, Lionel Carter1, David Clemens-Sewall14, Viorela G. Ciobanu4, Barbara Delmonte13, Lukas Eling1,2, Aja Ellis8,e, Shruthi Ganesh15, Nicholas R. Golledge1,2, Skylar Haines9, Michael Handley9, Robert L. Hawley14, Chad M. Hogan16, Katelyn M. Johnson1,2, Elena Korotkikh9, Daniel P. Lowry1, Darcy Mandeno1, Robert M. McKay1, James A. Menking5, Timothy R. Naish1, Caroline Noerling10, Agathe Ollive17, Anaïs Orsi18, Bernadette C. Proemse16, Alexander R. Pyne1, Rebecca L. Pyne2, James Renwick1, Reed P. Scherer19, Stefanie Semper20, Marius Simonsen4, Sharon B. Sneed9, Eric J. Steig3, Andrea Tuohy1,2,d, Abhijith Ulayottil Venugopal1,2, Fernando Valero-Delgado10, Janani Venkatesh15, Feitang Wang12,21, Shimeng Wang12, Dominic A. Winski14, V. Holly L. Winton8,f, Arran Whiteford22, Cunde Xiao23, Jiao Yang12, and Xin Zhang24 Nancy A. N. Bertler et al.
  • 1Antarctic Research Centre, Victoria University of Wellington, Wellington, 6012, New Zealand
  • 2GNS Science, Lower Hutt, 5010, New Zealand
  • 3Department of Earth and Space Sciences, University of Washington, Seattle, WA 98195, USA
  • 4Centre for Ice and Climate, Niels Bohr Institute, University of Copenhagen, Juliane Maries Vej 30, 2100 Copenhagen, Denmark
  • 5College of Earth, Ocean, and Atmospheric Sciences, Oregon State University, Corvallis, OR 97330, USA
  • 6Scripps Institution of Oceanography, UC San Diego, La Jolla, CA 92093, USA
  • 7British Antarctic Survey, High Cross, Madingley Road, Cambridge, CB3 0ET, UK
  • 8Physics and Astronomy, Curtin University, Perth, Western Australia, Australia
  • 9Climate Change Institute, University of Maine, Orono, ME 04469-5790, USA
  • 10Alfred Wegner Institute, Bremen, Germany
  • 11Chinese Academy of Meteorological Sciences, Beijing, China
  • 12State Key Laboratory of Cryospheric Science, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, Gansu, China
  • 13DISAT, Department of Earth and Environmental Sciences, University Milano-Bicocca, Piazza della Scienza 1, 20126 Milano, Italy
  • 14Department of Earth Sciences, Dartmouth College, 6105 Fairchild Hall, Hanover, NH 03755, USA
  • 15Department of Chemical Engineering, SRM University, Kattankulathur 603203, Kancheepuram Dt., Tamil Nadu, India
  • 16University of Tasmania, School of Biological Sciences, Hobart, TAS, 7001 Australia
  • 17Specialty of Earth Sciences and Environment, UniLasalle, 19 rue Pierre Waguet, 60000 Beauvais, France
  • 18Laboratoire des Sciences du Climat et de l'Environnement, LSCE/IPSL, CEA-CNRS-UVSQ, Université Paris-Saclay, 91198 Gif-sur-Yvette, France
  • 19Institute for the Study of the Environment, Sustainability & Energy, Northern Illinois University, DeKalb, IL 60115, USA
  • 20Geophysical Institute, University of Bergen, and Bjerknes Centre for Climate Research, 5020 Bergen, Norway
  • 21Tianshan Glaciology Station, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, Gansu, China
  • 22Department of Earth and Ocean Sciences, University of British Columbia, British Columbia, Canada
  • 23State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing, China
  • 24Northwest Normal University, Lanzhou, Gansu, China
  • anow at: University of Wisconsin-Madison, Department of Civil and Environmental Engineering, 660 N. Park St., Madison, USA
  • bnow at: Faculty of Science and Engineering, University of Waikato, Hamilton, New Zealand
  • cnow at: University of Rochester, Department of Earth & Environmental Sciences, Rochester, NY 14627, USA
  • dnow at: Tonkin and Taylor, ABS Tower, 2 Hunter St., Wellington, 6011, New Zealand
  • enow at: Center for Atmospheric Particle Studies, Carnegie Mellon University, Pittsburgh, PA 15213, USA
  • fnow at: British Antarctic Survey, Cambridge, CB3 0ET, UK

Correspondence: Nancy A. N. Bertler (nancy.bertler@vuw.ac.nz)

Abstract
Back to toptop

High-resolution, well-dated climate archives provide an opportunity to investigate the dynamic interactions of climate patterns relevant for future projections. Here, we present data from a new, annually dated ice core record from the eastern Ross Sea, named the Roosevelt Island Climate Evolution (RICE) ice core. Comparison of this record with climate reanalysis data for the 1979–2012 interval shows that RICE reliably captures temperature and snow precipitation variability in the region. Trends over the past 2700 years in RICE are shown to be distinct from those in West Antarctica and the western Ross Sea captured by other ice cores. For most of this interval, the eastern Ross Sea was warming (or showing isotopic enrichment for other reasons), with increased snow accumulation and perhaps decreased sea ice concentration. However, West Antarctica cooled and the western Ross Sea showed no significant isotope temperature trend. This pattern here is referred to as the Ross Sea Dipole. Notably, during the Little Ice Age, West Antarctica and the western Ross Sea experienced colder than average temperatures, while the eastern Ross Sea underwent a period of warming or increased isotopic enrichment. From the 17th century onwards, this dipole relationship changed. All three regions show current warming, with snow accumulation declining in West Antarctica and the eastern Ross Sea but increasing in the western Ross Sea. We interpret this pattern as reflecting an increase in sea ice in the eastern Ross Sea with perhaps the establishment of a modern Roosevelt Island polynya as a local moisture source for RICE.

1 Introduction
Back to toptop

With carbon dioxide (CO2) and global temperatures predicted to continue to rise, model simulations of the Antarctic/Southern Ocean region show an increase in surface warming for the coming decades resulting in reduced sea ice extent, weakened Antarctic Bottom Water formation, intensified zonal winds that reduce CO2 uptake by the Southern Ocean, a slowing of the southern limb of the meridional overturning circulation (MOC) and associated changes in global heat transport, and a rapid ice sheet grounding line retreat that contributes to global sea level rise (Kusahara and Hasumi, 2013; Spence et al., 2012; Marshall and Speer, 2012; Sen Gupta et al., 2009; Toggweiler and Russell, 2008; Russell et al., 2006; Downes et al., 2010; Anderson et al., 2009; DeConto and Pollard, 2016; Joughin and Alley, 2011; Golledge et al., 2015; DeVries et al., 2017). Observations confirm an ozone-depletion-induced strengthening and poleward contraction of zonal winds (Thompson and Solomon, 2002b; Arblaster et al., 2011), increased upwelling of warm, modified Circumpolar Deep Water (Jacobs et al., 2011), a warmer Southern Ocean (Böning et al., 2008; Gille, 2002; Abraham et al., 2013), meltwater-driven freshening of the Ross Sea (Jacobs et al., 2002), ice shelf and mass loss, grounding line retreat (Rignot et al., 2014; Pollard et al., 2015; Paolo et al., 2015; Joughin et al., 2014), reduced formation of Antarctic Bottom Water (Rintoul, 2007) and Antarctic Intermediate Water (Wong et al., 1999), changes in sea ice (regional decreases and increases in the Amundsen and Ross seas, respectively) (Holland and Kwok, 2012; Sinclair et al., 2014; Stammerjohn et al., 2012), and dynamic changes in Southern Ocean CO2 uptake driven by atmospheric circulation (Landschützer et al., 2015). However, these observational time series are short (Böning et al., 2008; Gille, 2002; Toggweiler and Russell, 2008) and inter-model variability indicates that physical processes and their consequences are not well captured or understood (Braconnot et al., 2012; Sen Gupta et al., 2009). While the skill of equilibrium simulations steadily improves, the accuracy of transient model projections for the coming decades critically depends on an improved knowledge of climate variability, forcings and dynamic feedbacks (Stouffer et al., 2017; Bakker et al., 2017).

Here we present data from a new, highly resolved and accurately dated ice core record, spanning the past 2.7 kyr, from the eastern Ross Sea region. The Roosevelt Island Climate Evolution (RICE) ice core is compared with existing records in the region to investigate the characteristics and drivers of spatial and temporal climate variability in the Ross Sea region.

2 Site characteristics and relevant climate drivers
Back to toptop

In this section, a brief overview is provided of the climatological and glaciological characteristics of the study site.

2.1 Dynamic interaction between tropical and midlatitudinal climate drivers and South Pacific climate variability

Environmental variability in the Pacific Sector of the Southern Ocean and Antarctica is dominated by three major atmospheric circulation patterns: the Southern Annular Mode (SAM), the El Niño–Southern Oscillation (ENSO) and the Inter-decadal Pacific Oscillation (IPO). The SAM is the leading empirical orthogonal function (EOF) of the Southern Hemisphere extratropical geopotential height fields on monthly and longer timescales and describes the strength and position of the Southern Hemisphere westerly winds via the relative pressure over Antarctica ( 65 S) and the midlatitudes ( 45 S) (Thompson and Wallace, 2000; Thompson and Solomon, 2002a). The persistent positive, summer trend of the SAM (decreasing pressure over Antarctica) has been linked to stratospheric ozone depletion and an increase in atmospheric greenhouse gas concentration (Arblaster et al., 2011; Thompson et al., 2011). The positive SAM is associated with above-average warming of the Antarctic Peninsula, cooler conditions over East Antarctica due to a reduced poleward pressure gradient and thus diminished transport of heat and moisture, and a reduction in katabatic flow (Marshall et al., 2013; Marshall and Thompson, 2016; Thompson and Solomon, 2002a). While the positive summer SAM trend (also weakly expressed during autumn) along the Antarctic margin is generally associated with an equatorward heat flux, the western Ross Sea is one of two regions (the Weddell Sea being the other) to experience an anomalous poleward heat flux (Marshall and Thompson, 2016) that transports heat and moisture across the Ross Ice Shelf. No such pattern is observed for regional surface air temperature (SAT) (Marshall and Thompson, 2016), which might be masked by the influence of regional sea ice variability on local temperatures. The positive SAM has been shown to contribute at least partially to an increase in total Antarctic sea ice, while a negative SAM has been associated with a reduced sea ice (Ferreira et al., 2015; Holland et al., 2017; Bintanja et al., 2013; Kohyama and Hartmann, 2015; Turner et al., 2017). The future behaviour of the SAM over the next decades is a topic of active research due to the competing and seasonally biased influences of projected stratospheric ozone recovery and greenhouse gas emissions (Bracegirdle et al., 2014; Gillett and Fyfe, 2013; Thompson et al., 2011).

The Pacific South American (PSA) patterns represent atmospheric Rossby wave trains initiated by anomalously deep tropical convection during ENSO events, in particular during austral spring, which originate in the western (PSA1) and the central (PSA2) tropical Pacific (Mo and Higgins, 1998). PSA1 and PSA2 are defined as the second and third EOF respectively of monthly-mean extratropical geopotential height fields, with the negative (positive) phase resembling El Niño (La Niña)-like conditions (Mo, 2000). Changes in SAT over West Antarctica have been linked to PSA1 variability (Schneider et al., 2012; Schneider and Steig, 2008), while the warming of West Antarctica's winter temperatures has been linked to PSA2 (Ding et al., 2011). The positive polarity of PSA1 is associated with anticyclonic wind anomalies in the South Pacific centred at  120 W, which have been linked to increased onshore flow and increased eddy activity (Marshall and Thompson, 2016). In contrast, during the positive phase of the PSA2, the anticyclonic centre shifts to  150 W in the Ross Sea, creating a dipole across the Ross Ice Shelf, with increased transport of marine air masses along the western Ross Ice Shelf and enhanced katabatic flow along the eastern Ross Ice Shelf (Marshall and Thompson, 2016). Sea ice feedbacks to the SAM and ENSO forcing in the western Ross Sea (as well as the Bellingshausen Sea) were found to be particularly strong when a negative SAM coincided with El Niño events (increased poleward heat flux, less sea ice) or a positive SAM concurred with La Niña events (decreased poleward heat flux, more sea ice) (Stammerjohn et al., 2008). The authors found that this teleconnection is less pronounced in the eastern Ross Sea.

https://www.clim-past.net/14/193/2018/cp-14-193-2018-f01

Figure 1(a) Overview map of the Ross Sea region and eastern West Antarctica. Antarctic ice velocity derived from the Advanced Land Observing Satellite (ALOS) with the Phased Array type L-band Synthetic Aperture Radar (PALSAR), the European Space Agency (ESA) Envisat Advanced Synthetic Aperture Radar (ASAR), European Remote Sensing (ERS) satellites, ERS-1 and 2, and the the Canadian Space Agency (CSA) RADARSAT-1 and 2 satellite radar interferometry colour-coded on a logarithmic scale (Rignot et al., 2011). Coloured dots indicate the locations of ice core drilling sites used in this paper: RICE (blue), West Antarctic Ice Sheet Divide ice core (WDC; red), Siple Dome (green), TALDICE and Talos Dome TD96 (purple), Taylor Dome (orange). (b) Overview map of Roosevelt Island derived from the Moderate-resolution Imaging Spectroradiometer (MODIS) satellite images (Scambos et al., 2007). The maps were created using the Antarctic Mapping Tool (Greene et al., 2017). The coloured dots indicate the location of the RICE drill site (blue) and the nearest ERA-Interim (ERAi) grid point (yellow).

Download

The IPO, an ENSO-like climate variation on decadal timescales (Power et al., 1999), is closely related to the Pacific Decadal Oscillation (PDO) (Mantua and Hare, 2002). While the PDO is defined as the first EOF of sea surface temperature (SST) variability in the Northern Pacific, the IPO is defined by a tripole index of decadal-scale SST anomalies across the Pacific (Henley et al., 2015). A warm tropical Pacific and weakened trade winds are associated with a positive IPO, while a cooler tropical Pacific and strengthened trade winds are characteristic of a negative IPO. The phasing of the IPO and PDO have been shown to influence the strength of regional and global teleconnections with ENSO (Henley et al., 2015). An in-phase IPO amplification of ENSO events has been linked to a strengthening of global dry/wet anomalies, in contrast to periods when the IPO and ENSO are out of phase, causing these anomalies to weaken or disappear entirely (Wang et al., 2014). In addition, a negative IPO leads to cooler SSTs in the Ross, Amundsen and Bellingshausen seas, while a positive IPO is associated with warmer SSTs (Henley et al., 2015). The centre of anticyclonic circulation linked to precipitation at Roosevelt Island (Emanuelsson et al., 2018) moves eastward during the negative IPO from  120 W during the positive IPO to  100 W (Henley et al., 2015). It has been suggested that the negative IPO, at least in part, is responsible for the hiatus in global surface warming during 1940–1975 and 2001–2009 (England et al., 2014; Kosaka and Xie, 2013; Meehl et al., 2011).

The Amundsen Sea Low (ASL), a semi-permanent low-pressure centre in the Ross–Amundsen Sea, is the most prominent and persistent of three low-pressure centres around Antarctica, associated with the wave number 3 circulation (Raphael, 2004; Raphael et al., 2016; Turner et al., 2013). The ASL is sensitive to ENSO (especially during winter and spring) and SAM (in particular during autumn) and influences environmental conditions in the Ross, Amundsen and Bellingshausen seas and across West Antarctica and the Antarctic Peninsula (Ding and Steig, 2013; Raphael et al., 2016; Steig et al., 2012; Marshall and Thompson, 2016; Bertler et al., 2004; Turner et al., 2013; Thomas et al., 2009). Seasonally, the ASL centre moves from  110 W in during austral summer to  150 W in austral winter (Turner et al., 2013). A positive SAM and/or La Niña event leads to a deepening of the ASL, while a negative SAM and/or El Niño event causes a weakening (Turner et al., 2013). The IPO, through its effect upon ENSO and SAM variability, also influences the ASL and sea ice extent in the Ross and Amundsen seas (Meehl et al., 2016). Blocking events in the Amundsen Sea (Renwick, 2005) are sensitive to the position of the ASL and are dominant drivers of marine air mass intrusions and associated precipitation and temperature anomalies at Roosevelt Island (Emanuelsson et al., 2018).

Table 1Overview of ice core records used in this paper. Locations are presented in Fig. 1.

Download Print Version | Download XLSX

2.2 RICE site characteristics

Roosevelt Island is an approximately 120 km long by 60 km wide grounded ice rise located near the north-eastern edge of the Ross Ice Shelf (Fig. 1). Ice accumulates locally on the ice rise, while the floating Ross Ice Shelf flows around Roosevelt Island. The ice surrounding Roosevelt Island originates from the West Antarctic Ice Sheet (WAIS), via the Bindschadler, MacAyeal and Echelmeyer ice streams. Bedmap2 data (Fretwell et al., 2013) suggest that the marine basins on either side of Roosevelt Island are roughly 600 m (western basin) and 750 m (eastern basin) deep and that the thickness of the Ross Ice Shelf at this location is about 500 m. At the RICE drill site (79.364 S, 161.706 W, 550 m above sea level) near the summit of Roosevelt Island, the ice is 764 m thick and grounded 214 m below sea level. Radar surveys across the Roosevelt Island ice divide show well-developed “Raymond arches” (Raymond, 1984) of isochrones suggesting a stable ice divide (Conway et al., 1999). The vertical velocity, constrained by phase-sensitive radio echo sounder (pRES) measurements, is approximately 20 cm a−1 at the surface relative to the velocity of 0 cm a−1 at the bed (Kingslake et al., 2014). A small migration of the divide has occurred in the past few centuries with the topographic divide off-set by about 500 m to the south-west. It is possible that the divide migrated as a result of an imbalance in the ice flux on either side of the divide, by either changes in the snow accumulation gradient or changes in the efflux across the grounding line due perhaps to changes in the buttressing by the Ross Ice Shelf. However, the negligible divide position migration magnitude suggests that neither snow accumulation gradient nor grounding line efflux have changed very much; this implies that the buttressing has not changed significantly either.

3 Ice core data
Back to toptop

During two field seasons, 2011–2012 and 2012–2013, a 764 m long ice core to bedrock was extracted from the summit of Roosevelt Island. The drilling was conducted using the New Zealand intermediate depth ice core drill Te Wāmua Hukapapa (“Ice Cores That Discover the Past” in NZ Te Reo native language). The drill system is based on the Danish Hans Tausen Drill with some design modification (Mandeno et al., 2013). The upper 60 m of the borehole was cased with plastic pipe and the remainder of the drill hole filled with a mixture of Estisol-240 and Coasol to prevent closure. The part of the RICE ice core record used in this study covers the past 2.7 kyr and consists of data combined from the RICE-2012/13-B firn core (0.19–12.30 m depth) and the RICE Deep ice core (12.30–344 m depth). In addition, the uppermost samples from a 1.5 m deep snow pit were used to extend the firn and ice core record for the month of December 2012. An overview of the core quality and processing procedures are summarised by Pyne et al. (2018). Here, we present new water stable-isotope (deuterium, δD) and snow accumulation records and compare them with existing records from West and East Antarctica (Table 1).

3.1 RICE age model: RICE17

The RICE17 age model for the past 2.7 kyr is based on an annually dated ice core chronology from 0 to 344 m which is described in detail by Winstrup et al. (2017). The cumulated age uncertainty for the past 100 years is ±2 years, for the past 1000 years ±19 years and for the past 2000 years ±38 years, reaching a maximum uncertainty of ±45 years at 344 m depth (2.7 kyr). The RICE17 timescale is in good agreement with the WD2014 annual-layer counted timescale from the WAIS Divide ice core dating to 200 CE (280 m depth). For the deeper parts of the core, there is likely a small bias (2–3 %) towards undercounting the annual layers, resulting in a small age offset compared to the WD2014 timescale.

3.2 Snow accumulation reconstruction

Ice core annual layer thicknesses provide a record of past snow accumulation once the amount of vertical strain has been accounted for. At Roosevelt Island, repeat pRES measurements were performed across the divide, providing a direct measurement of the vertical velocity profile (Kingslake et al., 2014). This has a key advantage over most previous ice core inferences of accumulation rate because vertical strain thinning through the ice sheet is measured directly, rather than needing to use an approximation for ice flow near ice divides (e.g. Dansgaard and Johnsen, 1969; Lliboutry, 1979). Uncertainty in the accumulation-rate reconstruction increases from zero at the surface (no strain thinning) to ±10 % at 78 m true depth (1712 CE). Below 78 m, the uncertainty remains constant at ±10 %. A detailed description of the accumulation-rate reconstruction is provided by Winstrup et al. (2017).

https://www.clim-past.net/14/193/2018/cp-14-193-2018-f02

Figure 2Spatial correlation fields exceeding  95 % significance between (a) ERAi annual SAT at the RICE site with ERAi annual SAT in the Antarctic/Southern Ocean region and (b) ERAi annual SAT and annually averaged RICE δD data; (c) as for (b) but with optimised RICE δD data alignment within the dating uncertainty. The correlation was performed using http://climatereanalyzer.org/, University of Maine, USA. Comparison of the ERAi SAT time series with (d) RICE δD data and (e) optimised RICE δD data alignment. Panel (f) scatter plot between RICE δDo and ERAi SAT. The coloured dots indicate the locations of the drill sites – RICE (blue), Siple Dome (green), WDC (red), TALDICE (pink) and Taylor Dome (orange).

Download

3.3 Water stable-isotope data

The water stable-isotope record was measured using a continuous-flow laser spectroscopy system with an off-axis integrated cavity output spectroscopy (OA-ICOS) analyser, manufactured by Los Gatos Research (LGR). The water for these measurements was derived from the inner section of the continuous flow analysis (CFA) melt head, while water from the outside section was collected for discrete samples. A detailed description and quality assessment of this system is provided by Emanuelsson et al. (2015). The combined uncertainty for deuterium (δD) at 2 cm resolution is ±0.85 ‰. A detailed description of the isotope calibration, the calculation of cumulative uncertainties, and the assignment of depth is provided by Keller et al. (2018).

4 RICE data correlation with reanalysis data – modern temperature, snow accumulation and sea ice extent trends
Back to toptop

The ERA-Interim (ERAi) reanalysis data set of the European Centre for Medium-Range Weather Forecasts (ECMWF; Dee et al., 2011), along with firn and ice cores, snow stakes and an automatic weather station (AWS) are used to characterise the meteorology of Roosevelt Island. ERAi data have been extracted for the RICE drill site from the nearest grid point (S 79.50 , W 162.00 ; Fig. 1b) for the common time period between 1979 and 2012. The year 1979, the onset of the ERAi reanalysis, occurs at 13.42 m depth in the firn. For this reason, the period 1979–2012 is predominantly captured in the RICE 12/13 B firn core. Data from the RICE AWS suggest that precipitation at RICE can be irregular, with large snow precipitation events dominating the accumulation pattern (Emanuelsson, 2016). Therefore, we limit the analysis in this study to annual averages and longer-term trends.

4.1 Isotope temperature correlation

The borehole temperature measured in 2012 in two 11 and 12 m deep drill holes suggest an average annual temperature of 23.5 C. This stands in stark contrast to the average annual temperature derived from ERAi data of 27.4 C at the RICE site. Furthermore, the RICE AWS also recorded an average annual temperature of 23.5 C. In contrast, the nearby Margaret AWS (located at 67 m a.s.l., just 96 km south-west of the RICE AWS; data obtained from Antarctic Meteorological Research Center and Automatic Weather Station Project; https://amrc.ssec.wisc.edu) records an average annual temperature of 26.6 C. While recorded summer temperatures at RICE and Margaret AWS agree well, during winter the Margaret AWS records up to 10–15 C colder 3-hourly temperatures than the RICE AWS. It is possible that rime build-up at the RICE AWS during winter (Supplement Fig. S1) might have provided insulation that allowed for residual heat from the sensors to warm the temperature cavity leading to erroneously warm readings. Alternatively, it is possible that the Margaret AWS site is influenced by stronger temperature inversions leading to exceptionally cold temperatures of 60 C, while the topography of Roosevelt Island might be less conducive to such conditions. A comparison between high-resolution borehole temperature measurements conducted at RICE from November 2013 to November 2014 and AWS data, including snow temperature measurements, will provide important insights into this temperature off-set. Until this analysis is concluded, we argue that ERAi data, which agree well with the Margaret AWS observations, provide the most reliable temperature time series to calibrate the stable-isotope–temperature relationship.

In Fig. 2a, the ERAi SAT time series extracted for the RICE drill site is compared with the ERAi SAT spatial grid. The analysis suggests that temperature variability at RICE is representative of variability across the Ross Ice Shelf (with the exception of the westernmost margin along the Transantarctic Mountains), northern Victoria Land, western Marie Byrd Land, and the Ross and Amundsen seas. Furthermore, the Antarctic Dipole pattern (Yuan and Martinson, 2001), a negative correlation between the SAT in the Ross–Amundsen Sea region and that of the Weddell Sea, is also captured in the data. The locations of the Siple Dome, West Antarctic Ice Sheet Divide ice core (WDC), Talos Dome, TALDICE and Taylor Dome ice cores fall within the region of positive RICE SAT correlation.

The correlation between RICE δD data and ERAi SAT (Fig. 2b) remains positive across the Ross Ice Shelf and northern Ross Sea, but the WDC site now falls outside the field of the statistically significant correlation. The time series correlation between the ERAi SAT record and the RICE δD data (Fig. 2d) is r=0.42(p<0.01). We test the robustness of this relationship by applying the minimum and maximum age solutions within the age uncertainty (≤2 year during this time period; Winstrup et al., 2017) to identify the age model solution within the age uncertainty that renders the highest correlation. This optimised solution RICE δDo is shown in Fig. 2e with a correlation coefficient of r=0.66(p<0.001). The correlation of the RICE δDo record with the ERAi SAT data (Fig. 2c) produces a pattern that more closely resembles the correlation pattern using the ERAi data itself (Fig. 2a), suggesting that the δD record provides useful information about the regional temperature history.

From the comparison between RICE δDo and ERAi SAT records, we obtain a temporal slope of 3.37 ‰ C−1 (Fig. 2f), which falls within the limit of previously reported values from Antarctica of  2.90–3.43 ‰ C−1 for temporal (interannual) slopes (Schneider et al., 2005) and 6.80±0.57 ‰ C−1 for spatial slopes (Masson-Delmotte et al., 2008). We use this relationship to calculate temperature variations for the RICE δD record. The average annual temperature calculated for 1979–2012 from ERAi for the RICE site is -27.4±2.4C and -27.5±3.6C for the δDo data. Although the year-to-year SAT variability appears to be well captured in the RICE δDo record, there are discrepancies in observed trends. While RICE δDo data suggest an increase in SAT from 1996 onwards, ERAi SAT data do not show a trend (Fig. 2e). It remains a challenge to determine how well reanalysis products, including ERAi data, and other observations, including isotope data, capture temperature trends in Antarctica (PAGES2k Consortium, 2013; Stenni et al., 2017) and thus whether the observed difference in the trend between ice core δDo and ERAi SAT is significant or meaningful. We also compare the δDo with records from AWS (Ferrell, Gill and Margaret AWS) and stations (Byrd, McMurdo, Scott Base, Siple Stations) in the region (Fig. S2 and Table S1, Supplement). The comparison is hampered by the shortness of the records and gaps in the observations. Only years were used for which monthly values were reported for each month of the year. No statistically significant correlation was identified between δDo and available data.

Furthermore, we test the correlation with the near-surface Antarctic temperature reconstruction by Nicolas and Bromwich (2014; referred to as NB2014), which uses three reanalysis products and takes advantage of the revised Byrd Station temperature record (Bromwich et al., 2013) to provide an improved reanalysis product for Antarctica for the time period 1958–2012 CE. We find no correlation between the NB2014 record and the ERAi data at the RICE site, nor the RICE δDo data for the 1979–2012 time period, perhaps suggesting some regional challenges. If the full time period available for the NB2014 data is considered (1957–2012), the NB2014–RICE δDo correlation becomes weakly statistically significant with r=0.23 (p=0.09, Table S1).

4.2 Regional snow accumulation variability

Temporal and spatial variability in snow accumulation are assessed using 144 snow stakes covering a 200 km2 array. The 3 m long, stainless steel poles were set and surveyed in November 2010, re-measured in January 2011, and revisited and extended in January 2012 and November 2013. The measurements indicate a strong accumulation gradient with up to 32 cm water equivalent per year (w.e. a−1) on the north-eastern flank decreasing to 9 cm w.e. a−1 on the south-western flank. Near the drill site, annual average snow accumulation rates range from 22±4 cm w.e. a−1 from 2010 to 2013.

https://www.clim-past.net/14/193/2018/cp-14-193-2018-f03

Figure 3Comparison of snow accumulation data recorded by the RICE AWS (blue) in cumulative snow height in centimetres and ERAi precipitation values (red) in centimetres water-equivalent cumulative height for the RICE drill location. Dotted blue and red lines indicate linear trends for AWS and ERAi data, respectively.

Download

https://www.clim-past.net/14/193/2018/cp-14-193-2018-f04

Figure 4(a) Spatial correlation between ERAi annual precipitation at the RICE site with ERAi annual precipitation in the Antarctic/Southern Ocean region and (b) spatial correlation between ERAi annual precipitation and annually averaged RICE snow accumulation data. Only fields exceeding  95 % significance are shown. The correlation has been performed using http://climatereanalyzer.org/, University of Maine, USA. Comparison of the ERAi precipitation time series with (d) RICE snow accumulation data and (e) RICE snow accumulation with optimised RICE δD data alignment. Coloured dots indicate locations of WDC (red), Siple Dome (green), RICE (blue), TALDICE and Talos Dome (purple) and Taylor Dome (orange).

Download

In addition, snow accumulation was measured using an ultrasonic sensor mounted on the RICE AWS. The sensor was positioned 140–160 cm above the ground and reset during each season. The 3-year record shows gaps (Fig. 3) which represent times when rime on the sensor and/or blowing snow caused erroneous measurements. This condition was particularly prevalent during winter. Over the 3 years, the site received an average snowfall of  75 cm a−1. Assuming an average density of 0.37 g cm−3 (average density from two snow pits, 0–75 cm), the AWS data suggest  20 cm w.e. a−1 accumulation, which is comparable with the accumulation rate derived from the ice core (21±6 cm w.e. a−1 for the period 1979–2012; Winstrup et al., 2017). In contrast, ERAi data suggest an average annual snow accumulation of only 11 cm w.e. a−1. It has been shown that Antarctic ERAi data capture precipitation variability but generally underestimate the precipitation total (Wang et al., 2016; Sinclair et al., 2010; Bromwich et al., 2011). Further, the ERAi data are not directly comparable to local measurements because they do not capture periods of snow scouring by wind. Yet, there is a good agreement between the two data sets with respect to the timing and relative rate of precipitation, which suggests that neither winters nor summers have been times of significant snow scouring. We attribute the difference between the ERAi data and our measurements to the spatial differences between measurements of the snow stake array, the interpolation field of the nearest ERAi data point and the actual drill site location, as well as differences in assumed snow densities or different methodologies in the conversion from precipitation to water-equivalent units. The regional representativeness of RICE snow accumulation data is assessed by correlating the ERAi precipitation time series, extracted for the RICE location, with the ERAi precipitation grid data (Fig. 4a). The correlation suggests that precipitation variability at Roosevelt Island is representative of the observed variability across the Ross Ice Shelf, the southern Ross Sea, and western West Antarctica. We note from Fig. 4a that the sites of the Siple Dome ice core (green circle) and the WDC (red circle) are situated within the positive correlation field, while Talos Dome (purple circle) and Taylor Dome (orange circle) show no correlation to ERAi precipitation at RICE. A negative correlation is found with the region of the South Pacific, Antarctic Peninsula and eastern West Antarctica. In Fig. 4b, the RICE snow accumulation record is correlated with ERAi precipitation data and shows a similar pattern. The resemblance of the correlation patterns suggests that the variability in the RICE snow accumulation data (Fig. 4b) reflects regional precipitation variability (Fig. 4a) and thus can likely elucidate regional snow accumulation variability in the past, in particular for array reconstructions such as Thomas et al. (2017). We also test the correlation with the optimised age scale derived for the δDo record and find that for snow accumulation data this adjusted age scale (Acco) reduces the correlation but remains statistically significant (Table 2). This result suggests that the optimised age solution is not superior to the RICE17 age scale, and we note that the sensitivity of the correlation to those minor adjustments is founded in the brevity of the common time period. However, there is no significant difference between the overall pattern and relationships of the two age scale solutions.

Table 2Overview of correlation coefficients for annual means of the common time period 1979–2012 between climate parameters, proxies and indices: the original RICE (δD) and optimised (δDo) data (this paper), the original RICE Acc (Winstrup et al., 2017), and data adjusted to the revised age scale of δDo – Acco, ERAi SAT and precipitation (ERAi Precip; Dee at el., 2011), Ross–Amundsen Sea SIEJ (Jones et al., 2016), SAMA (Abram et al., 2014), SOI (Trenberth and Stepaniak, 2001), Niño 4 Index (Trenberth and Stepaniak, 2001), Niño 3.4 (Emile-Geay et al., 2013), Inter-decadal Pacific Oscillation (IPO) Index (Henley et al., 2015), and NB2014. Significance values are adjusted for degree of freedom depending on the length of the time series. Only correlation coefficients exceeding 95 % (r≥0.34, n=34) are shown; bold italic values exceed 99 % (r≥0.42, n=34); bold values exceed 99.9 % (r≥0.54, n=34). SAMA and IPO have been adjusted for a lower degree of freedom (df = 28) as the reconstructions end in 2007. “Nss” denotes “not statistically significant”. Correlation between RICE δD and RICE Acc is r=0.49, p<0.01; correlation between RICE δDo and RICE Acco is r=0.62, p<0.01.

Download Print Version | Download XLSX

4.3 Influence of regional sea ice variability on RICE isotope and snow accumulation

Sea ice variability has been shown to influence isotope values in precipitated snow, particularly in coastal locations (Küttel et al., 2012; Noone and Simmonds, 2004; Thomas and Bracegirdle, 2009) through the increased contribution of enriched water vapour during times of reduced sea ice and increased sensible heat flux due to a higher degree of atmospheric stratification leading to more vigorous moisture transport. Tuohy et al. (2015) demonstrated that for the period 2006–2012,  40–60 % of precipitation arriving at Roosevelt Island came from local sources in the southern Ross Sea. In addition, Emanuelsson et al. (2018) demonstrated the important role of blocking events that are associated with over 88 % of large precipitation events at RICE, on sea ice variability via meridional wind field anomalies.

Snow accumulation at RICE is negatively correlated with sea ice concentration (SIC) in the Ross Sea region and northern Amundsen Sea region (Fig. 5a), which predominately represents sea ice exported from the Ross Sea. We observe years of increased (decreased) SIC leading to reduced (increased) accumulation at RICE, confirming the sensitivity of moisture-bearing marine air mass intrusions to local ocean moisture sources and hence regional SIC. The correlation between ERAi SIC and the optimised RICE δDo record (Fig. 5b) similarly shows a negative correlation of SIC in the Ross Sea (perhaps with the exception of the Ross and Terra Nova polynyas) and the northern Amundsen Sea, suggesting more depleted (enriched) values during years of increased (reduced) SIC.

https://www.clim-past.net/14/193/2018/cp-14-193-2018-f05

Figure 5Panels (a) and (b): spatial correlation of ERAi sea ice concentration (SIC) fields with the time series of (a) RICE snow accumulation and (b) RICE δDo. Panels (c) and (d): spatial correlation of the Ross–Amundsen Sea SIEJ time series (Jones et al., 2016) with (c) ERAi precipitation and (d) ERAi SAT fields. Only fields exceeding  95% significance are shown. The correlation has been performed using http://climatereanalyzer.org/, University of Maine, USA. Coloured dots indicate locations of WDC (red), Siple Dome (green), RICE (blue), TALDICE and Talos Dome (purple) and Taylor Dome (orange).

Download

In Fig. 5c and d, the sea ice extent index (SIEJ) for the Ross–Amundsen Sea, developed by Jones et al. (2016), is correlated with ERAi SAT and precipitation data. The analysis also identifies the co-variance of sea ice extent (SIE) and SAT, with increasing (decreasing) sea ice coinciding with cooler (warmer) SAT. This suggests that during years of increased SIE, the Ross Ice Shelf and western Marie Byrd Land experience lower temperatures and less snow accumulation. The correlation between SIEJ and ERAi precipitation at RICE is r=-0.67, and for SIEJ and RICE snow accumulation it is r=-0.56 (Table 2). Moreover, the correlation between SIEJ and ERAi SAT and SIEJ and RICE δDo is also statistically significant with r=-0.38 and r=-0.58, respectively. The higher correlation with RICE δDo perhaps suggests that the influence of SIE in the Ross Sea region affects the RICE δD record both through direct temperature changes in the region as well as fractionation processes that are independent of temperature, such as the lengthened distillation pathway to RICE during periods of more extensive SIE.

The ERAi SAT and ERAi precipitation data at RICE (Table 2) reveal a positive correlation over large areas of Antarctica with higher correlation coefficients over the eastern Ross Sea and eastern Weddell Sea (spatial fields not shown). At the RICE site, the correlation reaches r=0.66 (p<0.001). Moreover, the correlation between RICE δD and RICE snow accumulation data (RICE Acc) (or RICE δDo and RICE Acco) data is statistically significant, with r=0.49 (p<0.01) (or ro=0.62, po<0.001. This suggests that years with positive isotope anomalies are frequently characterised by higher snow accumulation rates. In contrast, precipitation during low snow accumulation years might be dominated by precipitation from air masses that have travelled further and perhaps across West Antarctica (Emanuelsson et al., 2018) leading to more depleted isotope values and lower snow accumulation rates than local air masses from the Ross Sea region.

4.4 Influence of climate drivers on prevailing conditions in the Ross Sea region

Seasonal biases and the enhancing or compensating effects of the relative phasing of SAM, ENSO and IPO conditions, on seasonal, annual and decadal timescales make linear associations of climate conditions and their relationship with climate drivers in the South Pacific challenging. We use the Southern Annular Mode Index (SAMA) developed by Abram et al. (2014) to test the fidelity of the SAM relationship with the climatic conditions in the Ross Sea over the past millennium (Table 2). The SAMA is highly correlated (r=0.75) with the SAM record developed by Marshall (2003) for their common time period (1957–2009). In addition, the Southern Oscillation Index (SOI; Trenberth and Stepaniak, 2001), Niño 3.4 Index (Rayner et al., 2003b), Niño 4 Index (Trenberth and Stepaniak, 2001) and the IPO Index (Henley et al., 2015) are used to investigate the influence of SST variability in the eastern and central tropical Pacific on annual and decadal timescales (IPO). In addition, we take advantage of an 850-year reconstruction of the Niño 3.4 index (Emile-Geay et al., 2013) to investigate any long-term influence of the eastern Pacific SST on environmental conditions in the Ross Sea.

The correlation of ERAi data and modern ice core records covering the 1979–2012 CE period with indices of relevant climate drivers (Table 2) suggests that SAMA has an enduring statistically significant relationship with temperature, snow accumulation and SIE in the Ross Sea, with the positive SAM being associated with cooler temperatures, lower snow accumulation or precipitation and more extensive SIE. The correlations remain robust and at comparable levels using a detrended SAMA record. In contrast, ENSO (SOI, Niño 3.4 and 4) and ENSO-like variability (IPO) have only linear statistically significant relationships with ERAi precipitation (but not with RICE snow accumulation) and SIEJ. The dynamic relationship between the phasing of SAM, ENSO and IPO maybe masking aspects of the interactions (Fogt and Bromwich, 2006; Marshall and Thompson, 2016). In 2010, an anomalously cold year is observed. If only the time series from 1979 to 2009 is considered, the correlations between RICE δD and these considered climate drivers becomes statistically significant: SOI (r=-0.48, p=0.006), Niño 3.4 (r=0.48, p=0.007), Niño 4 (r=0.57, p=0.001) and IPO (r=0.44, p=0.014). This further highlights the vulnerability of this analysis to individual years due to the brevity of the time series further complicating a linear analysis between individual drivers and regional responses. Moreover, statistically significant correlations might also be obtained if seasonal averages could be used for the comparison as ENSO events usually peak during the austral summer, in particular December (Turner, 2004). Nonetheless, this analysis confirms previous findings that the Ross Sea region is sensitive to the cumulative, independent and dependent influences of SAM, ENSO and the IPO.

5 Temperature and snow accumulation variability over the past 2.7 kyr
Back to toptop

Decadally smoothed RICE isotope and snow accumulation records for the past 2.7 kyr (Fig. 6) are compared with published data from the Ross Sea region (Siple Dome – green), coastal East Antarctica (Talos Dome/TALDICE – purple; Taylor Dome – orange) and West Antarctica (WDC – red).

https://www.clim-past.net/14/193/2018/cp-14-193-2018-f06

Figure 6(a) Isotope records for the past 2700 years for RICE, Siple Dome (Brook et al., 2005), WDC (WAIS Divide Project Members, 2013), TALDICE (Stenni et al., 2011) and Taylor Dome (Steig et al., 1999, 2000; Sigl et al., 2014; PAGES2k Consortium, 2017); (b) snow accumulation data for RICE (Winstrup et al., 2017), WDC (Fudge et al., 2016) and Talos Dome (TD96). No snow accumulation data are available for Siple Dome or Taylor Dome; (c) reconstructions of climate indices for SAMA (Abram et al., 2014) and Niño 3.4 based on HadSST2 (Emile-Geay et al., 2013). Colour coding identifies above- and below-average values. Grey shaded area emphasises period of negative SAMA; yellow shaded area emphasises period of synchronous warming at RICE, Siple Dome, WDC and TALDICE.

Download

https://www.clim-past.net/14/193/2018/cp-14-193-2018-f07

Figure 7(a) Frequency occurrences of decadal temperature variations (10-year moving averages) as reconstructed from the RICE ice core are shown for three periods: 660 BCE to 580 CE – dark blue; 581–1477 CE – light blue; and 1478–2012 CE – cyan. The 10-year average temperature for the most recent decade contained in the record (2002–2012, 25.78 C) is shown in pink. (b) Frequency occurrences of decadal RICE snow accumulation variations: 10-year moving averages for 660 to 623 CE (dark blue), 624–1736 CE (light blue) and 1737–2012 CE (cyan). The 10-year average for the most recent decade contained in the record (2002–2012, 0.2 m w.e.) is shown in pink.

Download

5.1 Regional temperature variability

We find that the RICE and Siple Dome (Brook et al., 2005) water isotope records share a long-term isotopic warming trend in the Ross Sea region. In contrast, WDC isotope (Steig et al., 2013) and borehole temperature data (Orsi et al., 2012) exhibit a long-term cooling trend for West Antarctica, while TALDICE (Stenni et al., 2002) and Taylor Dome (Steig et al., 1998, 2000) recorded stable-isotopic conditions for coastal East Antarctica in the western Ross Sea.

Elevation changes influence water isotope values (Vinther et al., 2009). The thinning of Roosevelt Island, inferred from the amplitude of arched isochrones beneath the crest of the divide and the depth–age relationship from the ice core (Conway et al., 1999), is less than 2 cm a−1 for the past 3.5 kyr. Thus, the surface elevation has decreased less than 50 m over the past 2.7 kyr. Assuming that these elevation changes are sufficient to influence vertical movement of the precipitating air mass, such an elevation change could account for an isotopic enrichment of δD = 2 ‰ (Vinther et al., 2009), which is insufficient to explain the total observed increase of 8 ‰. Furthermore, the RICE δD trend is characterised by two step changes at 580 CE ± 27 years and 1477 CE ± 10 years (grey dotted lines in Fig. 6). These change points were identified using a minimum threshold parameterisation to achieve a minimised residual error (Killick et al., 2012; Lavielle, 2005). At the identified change points, the decadal isotope values increase by  3 and  5 ‰, respectively, which suggests that elevation changes were not a principal driver. Using the temporal slope of 3.37 ‰ per degree C, these abrupt temperature transitions could represent an increase in the average decadal temperature (Fig. 7a) from 28.5 to 27.7 C and from 27.7 to 26.2 C. An underlying influence from long-term thinning, accounting for a δD shift of 2.4 ‰, would exaggerate the observed warming of 2.3 C by 0.7 C, thus suggesting a minimum isotopic temperature warming of at least 1.6 C. The modern decadal isotope temperature average (2003–2012) of 25.1 C (pink bar, Fig. 7a) and ERAi temperature of 26.5 C lie within the 1σ distribution of the natural decadal temperature variability in the past 500 years. We note that changes in atmospheric circulation and sea ice extent might also have contributed significantly to the change in the observed isotopic shift, and we offer some suggestions in the following sections.

The Siple Dome ice core δ18O record exhibits a similar isotope history to the RICE δD record. Siple Dome isotope data reveal an abrupt warming or isotopic enrichment at 605 CE, some 25 years later than in RICE but within the cumulative age uncertainty of the two records. After 605 CE, Siple Dome isotope temperatures remain stable, although recording somewhat warmer isotope temperatures from about 1875 CE. Late-Holocene elevation changes (thinning) at Siple Dome have been reported to be negligible (Price et al., 2007) and are unlikely to have caused the observed abrupt isotopic shift at 605 CE. In contrast to records from the western Ross Sea (Bertler et al., 2011; Rhodes et al., 2012; Stenni et al., 2002) and West Antarctica (Orsi et al., 2012), RICE and Siple Dome do not show an isotopic warming or cooling associated with the Medieval Warm Period (MWP) or the Little Ice Age (LIA), respectively.

The WDC δ18O record suggests a long-term isotope cooling of West Antarctica, confirmed by borehole temperature reconstructions (Orsi et al., 2012). This trend is consistent with warmer than average temperatures during the MWP and cooler conditions during the LIA but may also reflect changes in elevation and decreasing insolation (Steig et al., 2013). The cooling trend is followed by an increase in temperature in recent decades (Orsi et al., 2012; Steig et al., 2009) consistent with an increase in marine air mass intrusions (Steig et al., 2013). We note that within 200 years of the onset of the isotopic warming at RICE (at 580 CE ± 27 years), the WDC borehole temperature and isotope data start to record a temperature decline, in line with the observed anti-phased relationship of WDC with RICE and Siple Dome. No notable change is observed in WDC water stable-isotope temperature data in the late 15th century. In contrast, WDC borehole temperature suggests the onset of a warming trend within the last 100 years, marking the modern divergence between WDC isotope and borehole records. The TALDICE and Taylor Dome water stable-isotope temperatures do not exhibit a long-term trend over the past 2.7 kyr. Yet colder water stable-isotope temperature anomalies have been associated with the LIA period at both sites (Stenni et al., 2002), which coincide with cooler conditions at WDC and the intensified increase in isotope temperature at RICE.

The similarity between the RICE and Siple Dome isotope records suggests that the eastern Ross Sea was dominated by regionally coherent climate drivers over the past 2.7 kyr, perhaps receiving precipitation via similar air mass trajectories. Overall this comparison shows that isotope temperature trends in the eastern Ross Sea (isotopic warming at RICE and Siple Dome) and West Antarctica (WDC cooling) were anti-phased for over 2 kyr (660 BCE to  1500 CE), while the western Ross Sea (TALDICE) remained stable, forming a distinct Ross Sea Dipole pattern. From the 17th century onwards this relationship changes. While WDC water stable-isotope temperatures continue to cool, from the 17th century, the WDC borehole temperature records a warming. At the same time, RICE and Siple Dome experience warmer isotope temperatures while TALDICE recovers from its coldest recorded isotope temperature during the study period.

5.2 Regional snow accumulation variability

Investigating long-term trends in snow accumulation records (Fig. 6b), the decadally smoothed RICE shows a discernible positive trend from about 600 CE of about 0.2±0.1 cm w.e. per century (Winstrup et al., 2017) for the eastern Ross Sea, while WDC (Fudge et al., 2016) displays a decreasing trend for central West Antarctica. The RICE snow accumulation data reach a maximum in the 13th century, with a trend towards lower values from the late 17th century onwards of about -0.9±0.6 cm w.e. per century (Winstrup et al., 2017). Since 1950 CE, this trend has steepened to -6.6 cm w.e. per century (Winstrup et al., 2017). Based on the negative correlation between RICE snow accumulation and SIC in recent decades, we interpret the long-term increase in snow accumulation as representing a long-term reduction in SIC in the Ross Sea, consistent with a long-term increase in RICE isotope temperature. The recent rapid decline in snow accumulation rates could be related to increases in sea ice conditions in the eastern Ross Sea, perhaps marking the modern onset of local sea ice expansion. The modern decadal average (2002–2012) of 20 cm w.e. a−1 lies within the 2σ variability in decadal RICE ice core snow accumulation rates (Fig. 7). Talos Dome records its maximum snow accumulation rates at the end of the 13th century and reduced snow accumulation during the Little Ice Age (Stenni et al., 2002). Until the 15th century, RICE and WDC snow accumulation and isotope data show an expected positive correlation between their respective isotope and snow accumulation records. Regionally, RICE and WDC isotope and snow accumulation are anti-phased. From the 16th century onwards, this relationship reverses and RICE and WDC snow accumulation are now in phase, suggesting below-average snow accumulation in the eastern Ross Sea and West Antarctica. We note that from the 16th century onwards, snow accumulation at RICE and WDC displays a negative correlation with water stable isotope (RICE) and borehole temperature (WDC) reconstructions. At RICE this relationship is again positive for 1979–2012. During the 20th century, Talos Dome records an increase in snow accumulation of  11% in the western Ross Sea (Stenni et al., 2002), in contrast to the observed snow accumulation decrease at RICE and WDC. However, the values are not unique within the variability in the 800 years captured in the Talos Dome record.

6 Drivers and patterns of decadal to centennial climate variability
Back to toptop

Palaeo-reconstructions of the SAMA (Abram et al., 2014) and Niño 3.4 (Emile-Geay et al., 2013) indices (Fig. 6) provide important opportunities to investigate the influence of dominant drivers of regional climate conditions over the past millennium. In particular, the Niño 3.4 index captures the ENSO signal originating in the central-eastern tropical Pacific associated with the PSA1 pattern. Emile-Geay et al. (2013) note that while the reconstructions based on three model outputs agree well on decadal to multi-decadal time periods, they show different sensitivities at centennial resolution (but not different signs). The SAM index (Thompson and Wallace, 2000; Thompson and Solomon, 2002a) was developed during the late 20th century, at a time when SAM was characterised by a strong positive trend. The SAMA reconstruction showed that the modern SAM is now at its most positive state in all of the past millennium (Abram et al., 2014). As a consequence, the reconstructed SAMA is mainly negative. To investigate the influence of positive and negative anomalies of the SAMA relative to its average state over the past 1 kyr, we plot the SAMA reconstruction by indicating values as being above (light purple) or below (purple) the long-term average of 1.3 rather than 0. The traditional positive SAMA values (above 0, dark purple) are also shown for reference. Assessing the relationship between RICE, Siple Dome, WDC and TALDICE, we identify three major time periods of change: 660 BCE to 1367 CE (long-term baseline), 1368 to 1683 CE (negative SAMA) and 1684 to 2012 CE (onset of the positive SAMA).

6.1 Long-term baseline 660 BCE to 1367 CE

We find that for over 2 kyr – from 660±44 BCE to 1367 ±12 CE – the eastern Ross Sea (RICE and Siple Dome) shows an enduring anti-phase relationship with West Antarctica (WDC), while coastal East Antarctica in the western Ross Sea (TALDICE, Taylor Dome) remains neutral (Fig. 6). Moreover, with some minor exceptions, isotope and snow accumulation records at RICE, WDC and TALDICE are positively correlated.

6.2 Negative SAMA – 1368 to 1683 CE

The SAMA reconstruction suggests that, over the past millennium, the SAM was at its most negative (Abram et al., 2014) from 1368±12 years CE to 1683±8 CE years. As noted by Abram et al. (2014), the SAMA and Niño 3.4 reconstructions (Emile-Geay et al., 2013) are anti-phased on multi-decadal to centennial timescales with the Niño 3.4 index recording some of the warmest SSTs over the past 850 years during this period of negative SAMA.

During the negative SAMA, RICE shows a distinct and sudden increase in isotope temperature, while TALDICE records its coldest conditions over the past 2.7 kyr. The Taylor Dome record also shows prolonged cold isotope temperature anomalies during this time period. Previously published shorter records from the western Ross Sea from Victoria Lower Glacier in the McMurdo Dry Valleys (Bertler et al., 2011) and Mt Erebus Saddle (Rhodes et al., 2012) also suggest colder conditions in the western Ross Sea during this period, with more extensive sea ice and stronger katabatic flow. We observe that WDC and TALDICE show below-average snow accumulation values, while RICE snow accumulation changes from a long-term positive to a negative trend. Such trends are consistent with the reported increased SIE in the western Ross Sea (colder SAT and lower snow accumulation at TALDICE; cooler conditions with more extensive sea ice and stronger katabatic winds at Victoria Lower Glacier and Mt Erebus) and Bellingshausen Sea (less snow accumulation and colder SAT at WDC). In contrast, RICE records warmer isotope temperatures along with less and more variable snow accumulation, displaying a distinct Ross Sea Dipole. Coinciding with the sudden increase in RICE δD in 1492 CE is the decoupling of the local isotope temperature from snow accumulation, evident from the diversion of the RICE snow accumulation and δD trends. The reduction in snow accumulation might be linked to a negative SAM-induced weakening of the ASL, perhaps leading to the development of fewer blocking events in the eastern Ross Sea. Alternatively, the abrupt change to warmer isotope temperatures at RICE might also point towards the development of the Roosevelt Island polynya. In recent decades, a Roosevelt Island polynya has been observed and merges at times with the much larger Ross Sea polynya (Morales Maqueda et al., 2004). In contrast to the Ross Sea Polynya (Sinclair et al., 2010), a local polynya could provide a potent source of isotopically enriched vapour for precipitation at RICE, perhaps exaggerating the actual warming of the area as interpreted from water stable-isotope data. We expect the influence of a Roosevelt Island polynya to have a reduced effect on the more distant Siple Dome, which is consistent with our observations.

6.3 Onset of the positive SAM – 1684 to 2012 CE

At 1684 CE ±7 years, the SAMA increases and remains above its long-term average until modern times while the Niño 3.4 index suggests a change to the prevalence of strong La Niña-like conditions, conditions conducive to a strengthening of the ASL. RICE δD suggest the continuation of warm, isotopically enriched conditions, while snow accumulation drops below the long-term average, with the RICE snow accumulation trend now in phase with the negative trend at WDC (Fig. 6). At the same time, Talos Dome records highly variable snow accumulation rates with an 11 % increase in snow accumulation rates from the 20th century onwards. The change to above-average SAMA (or even positive SAMA) values coincides with the onset of the diversion of WDC water isotope and borehole temperature reconstructions and the decoupling of the RICE δD and snow accumulation trends. Coincident positive SAM (purple SAMA values in Fig. 6c) and La Niña events have been linked in recent decades to increases in SIE in the western Ross Sea and decreases in the Bellingshausen Sea (Stammerjohn et al., 2008). This is consistent with the notable reduction in snow accumulation at RICE and the trend towards warmer conditions and increased marine air mass intrusions into West Antarctica as inferred from WDC isotope data (Steig et al., 2013) but is inconsistent with the reduction in snow precipitation at WDC and the trend to warmer isotope temperatures at RICE. We interpret the continuation of warm RICE isotope temperatures to reflect the persistence of the Roosevelt Island polynya.

6.4 Dipole pattern on decadal to centennial timescales

To investigate the drivers of decadal to centennial variability, we compare the linearly detrended time series of RICE water stable-isotope records with those from (i) Siple Dome and WDC (West Antarctica; Fig. 8a) and (ii) TALDICE (East Antarctica, western Ross Sea; Fig. 8b). The analysis suggests that from about 500 CE onwards, RICE and Siple Dome variability are in phase with West Antarctic climate variability (WDC). In contrast, RICE and TALDICE isotope variability alternates between spatial pattern of in-phase (purple) and anti-phase (grey, Ross Sea Dipole) relationships. During the negative phase of the SAMA (Fig. 8), the anti-correlation between RICE and TALDICE is particularly strong.

https://www.clim-past.net/14/193/2018/cp-14-193-2018-f08

Figure 8Phasing of multi-decadal and centennial climate temperature variability at RICE, Siple Dome, WDC and TALDICE using detrended, normalised isotope records, smoothed with a 200-year moving average. RICE is compared with (a) Siple Dome and WDC and (b) TALDICE to investigate phase relationships of climate variability in the eastern Ross Sea (RICE, Siple Dome) with West (WDC) and East Antarctica (TALDICE). WA: West Antarctica; EA: East Antarctica. The red shading indicates periods of synchroneity of RICE and Siple Dome records with WA. Grey shading indicates time periods where RICE (eastern Ross Sea) shows an anti-phase relationship (a Ross Sea Dipole) with TALDICE (western Ross Sea). Purple shading identifies times when RICE and EA are in phase. The normalised SAMA and Niño 3.4 records, smoothed with a 200-year moving average, are shown for comparison.

Download

https://www.clim-past.net/14/193/2018/cp-14-193-2018-f09

Figure 9Wavelet coherence and cross spectrum analysis of (a) RICE δD and Siple Dome δ18O, (b) RICE δD and WDC δ18O, and (c) RICE δD and TALDICE δ18O. The analysis was conducted on decadally averaged, detrended data, smoothed with a 200-year moving average. The coherence is computed using the Morlet wavelet and is expressed as magnitude-squared coherence (msc). The phase of the wavelet cross-spectrum is provide for values over 0.6 msc using Welch's overlapped averaged periodogram method (Kay, 1988; Rabiner et al., 1978). Arrows to the right indicate RICE is leading; arrows to the left indicate RICE is lagging. An upward or downward arrow represents quarter cycle difference.

Download

To assess the correlation of cyclicities apparent in the RICE, Siple Dome, WDC and TALDICE isotope records, wavelet coherence spectrum analyses were conducted (Fig. 9) on the time series shown in Fig. 8. The analysis of RICE and Siple Dome (Fig. 9a) suggests that the two records positively correlate on a broad spectrum of frequencies with cyclicities between 200 and 500 years. The correlation is weakest during 660–100 BCE. A strong anti-phased coherence is also observed for the 30–70-year periodicity from 100 to 800 CE. The high coherency suggests that RICE and Siple Dome respond to similar forcings. The coherence analysis between RICE and WDC shows an enduring in-phase correlation from  1000 CE to today for the bandwidth of 200–700 years. An anti-phase coherence is found from 0 to 500 CE. The coherence analysis between RICE and TALDICE identifies strong relationships predominantly for the early part of the records, from 660 BCE to  800 CE, and a weak coherence from about 800 to 1700 CE, when RICE leads by  75–100 years. The analysis suggests that for the past 2.7 kyr the eastern Ross Sea (RICE, Siple Dome) and western West Antarctica (WDC) are climatologically closely linked in their response to forcings on decadal to centennial timescales and are positively correlated for the past 1.6 kyr. In contrast, the relationship between the western (TALDICE) and eastern (RICE, Siple Dome) Ross Sea is more variable.

7 Concluding remarks
Back to toptop

The recent change to a strongly negative SAM (Marshall Index 3.12) in November 2016 coincided with a significant reduction in Antarctic SIE, including the Ross Sea, during the 2016/17 summer (Turner et al., 2017). Longer observations are necessary to assess whether this recent trend continues and indeed forces the reduced SIE, but it fuels questions on the potential acceleration of future environmental change in the Antarctic/Southern Ocean region. To improve projections for the coming decades, an improved understanding of the interplay of teleconnections and local feedbacks is needed.

The Ross Sea region is a climatologically sensitive region that is exposed to tropical and midlatitude climate drivers. The ASL has been shown to deepen during coinciding positive SAM and La Niña events and to weaken during negative SAM and El Niño events. Such interactions have far-reaching implications for the regional atmospheric and ocean circulations and sea ice (Turner et al., 2013; Raphael et al., 2016). Additionally, a negative (positive) IPO leads to cooler (warmer) SSTs in the Ross, Amundsen and Bellingshausen seas and has the potential to strengthen (in phase) or weaken (out of phase) the ENSO teleconnection (Henley et al., 2015). Furthermore, the phasing and strength of ENSO events and SAM have been shown to be time dependent (Fogt and Bromwich, 2006).

Our data suggest that changes in these dynamically linked climate patterns coincide with significant and abrupt changes in the past with implications for regional interpretations of trends, including temperature, mass balance and SIE. For over 2 kyr, from 660 BCE to the late 14th century, climate trends in the eastern Ross Sea (RICE and Siple Dome, trend to warmer isotope temperatures and higher precipitation) are anti-correlated with conditions in western West Antarctica (WDC, isotopic cooling with reduced precipitation), while coastal East Antarctica in the western Ross Sea appeared decoupled (there was no trend in isotope temperature or precipitation at TALDICE/Taylor Dome and Talos Dome, respectively). This regional pattern was reorganised during a period with strongly negative SAM conditions (SAMA) accompanied by exceptionally warm tropical SST (Niño 3.4 index). In modern times, such conditions cause a weakening of the ASL, which in turn can lead to a reduction in marine air mass intrusions into West Antarctica. Indeed, we observe that western West Antarctica (WDC borehole and isotope temperature) and the western Ross Sea (TALDICE) show cold temperatures during this time period that coincides with the Little Ice Age, while the eastern Ross Sea (RICE, Siple Dome) shows warmer or stable-isotope temperatures. In the late 17th century, the SAMA changes to above-average values, concurrent with a change to strong La Niña-like conditions, a framework conducive to a deepening of the ASL. Now, West Antarctica (WDC borehole temperature), the eastern Ross Sea (RICE, Siple Dome) and the western Ross Sea (TALDICE) all experience warmer isotope temperatures. At the same time, however, we observe reduced snow accumulation at RICE and WDC and an increase at Talos Dome. We interpret this pattern to reflect an increase in SIE in the eastern Ross Sea with perhaps the establishment of the modern Roosevelt Island polynya as a local moisture source for RICE. The continued improvements of array reconstructions (Stenni et al., 2017; Thomas et al., 2017) and the assessment of isotope-enabled climate models are an exciting development to further our knowledge of the drivers and effects of past change and their implications for future projections.

8 Data availability
Back to toptop

The following new RICE data are made available in this paper:

The following published RICE data used in this paper are accessible in the following way:

Sources of published ice core data used in this paper are as follows:

Sources of meteorological data and climate indices used in this paper are as follows:

Supplement
Back to toptop
Supplement. 

The supplement related to this article is available online at: https://doi.org/10.5194/cp-14-193-2018-supplement.

Competing interests
Back to toptop
Competing interests. 

The authors declare that they have no conflict of interest.

Acknowledgements
Back to toptop
Acknowledgements. 

Funding for this project was provided by the New Zealand Ministry of Business, Innovation, and Employment Grants through Victoria University of Wellington (RDF-VUW-1103, 15-VUW-131) and GNS Science (540GCT32, 540GCT12), and Antarctica New Zealand (K049), the US National Science Foundation (US NSF ANT-0944021, ANT-0944307, ANT-1443472), British Antarctic Survey Funding (BAS PSPE), the Center of Ice and Climate at the Niels Bohr Institute through the Carlsberg Foundation's “North-South Climate Connection” project grant, and the Major State Basic Research Development Program of China (Grant No. 2013CBA01804). The authors appreciate the support of the University of Wisconsin-Madison Automatic Weather Station Program for the data set, data display and information (NSF grant number ANT-1543305). We are indebted to Hedley Berge, Jeff Rawson, Margie Grant, Lou Albershardt, and Antarctica New Zealand staff at Scott Base and in Christchurch for their support of the RICE field seasons. We are grateful for the support by US 109th New York Air National Guard (NYANG) LC-130 Hercules and Canadian Kenn Borek aircraft crews for their excellent support into and out of Roosevelt Island. Furthermore, we would like to thank Stephen Mawdesley, Grant Kellett, Ryan Davidson, Ed Hutchinson, Bruce Crothers and John Futter of the Mechanical and Electronic Workshops of GNS Science for technical support for the international RICE core progressing campaigns. We would like to thank Beaudette Ross for conducting gas isotope measurements at the Scripps Institution of Oceanography, University of California, San Diego. We are grateful to Diane Bradshaw and Bevan Hunter for their assistance in naming the New Zealand ice core drill. We would like to thank Barbara Stenni for advice and discussions on the Talos Dome and TALDICE records. We thank two anonymous reviewers to help us make important improvements to this paper. This work is a contribution to the Roosevelt Island Climate Evolution (RICE) Program, funded by national contributions from New Zealand, Australia, Denmark, Germany, Italy, the People's Republic of China, Sweden, the UK and the USA. Logistics support was provided by Antarctica New Zealand (K049) and the US Antarctic Program.

Edited by: Hugues Goosse
Reviewed by: two anonymous referees

References
Back to toptop

Abraham, J. P., Baringer, M., Bindoff, N. L., Boyer, T., Cheng, L. J., Church, J. A., Conroy, J. L., Domingues, C. M., Fasullo, J. T., Gilson, J., Goni, G., Good, S. A., Gorman, J. M., Gouretski, V., Ishii, M., Johnson, G. C., Kizu, S., Lyman, J. M., Macdonald, A. M., Minkowycz, W. J., Moffitt, S. E., Palmer, M. D., Piola, A. R., Reseghetti, F., Schuckmann, K., Trenberth, K. E., Velicogna, I., and Willis, J. K.: A review of global ocean temperature observations: Implications for ocean heat content estimates and climate change, Rev. Geophys., 51, 450–483, 10.1002/rog.20022, 2013. 

Abram, N. J., Mulvaney, R., Vimeux, F., Phipps, S. J., Turner, J., and England, M. H.: Evolution of the Southern Annular Mode during the past millennium, Nat. Clim. Change, 4, 564–569, 2014. 

Allan, R. J., Nicholls, N., Jones, P. D., and Butterworth, I. J.: A Further Extension of the Tahiti-Darwin SOI, Early ENSO Events and Darwin Pressure, J. Climate, 4, 743–749, 10.1175/1520-0442(1991)004<0743:afeott>2.0.co;2, 1991. 

Anderson, R. F., Ali, S., Bradtmiller, L. I., Nielsen, S. H. H., Fleisher, M. Q., Anderson, B. E., and Burckle, L. H.: Wind-Driven Upwelling in the Southern Ocean and the Deglacial Rise in Atmospheric CO2, Science, 323, 1443–1448, https://doi.org/10.1126/science.1167441, 2009. 

Arblaster, J., Meehl, G., and Karoly, D.: Future climate change in the Southern Hemisphere: Competing effects of ozone and greenhouse gases, Geophys. Res. Lett., 38, L02701, https://doi.org/10.1029/2010GL045384, 2011. 

Bakker, P., Clark, P. U., Golledge, N. R., Schmittner, A., and Weber, M. E.: Centennial-scale Holocene climate variations amplified by Antarctic Ice Sheet discharge, Nature, 541, 72–76, https://doi.org/10.1038/nature20582, 2017. 

Bertler, N. A. N., Barrett, P. J., Mayewski, P. A., Fogt, R. L., Kreutz, K. J., and Shulmeister, J.: El Niño suppresses Antarctic warming, Geophys. Res. Lett., 31, L15207, https://doi.org/10.1029/2004GL020749, 2004. 

Bertler, N. A. N., Mayewski, P. A., and Carter, L.: Cold conditions in Antarctica during the Little Ice Age – Implications for abrupt climate change mechanisms, Earth Planet. Sc. Lett., 308, 41–51, https://doi.org/10.1016/j.epsl.2011.05.021, 2011. 

Bertler, N. A., Conway, H., Dahl-Jensen, D., Emanuelsson, U., Winstrup, M., Vallelonga, P. T., Lee, J. E., Brook, E. J., Severinghaus, J. P., Fudge, T. J., Keller, E. D., Baisden, W. T., Hindmarsh, R. C. A., Neff, P. D., Blunier, T., Edwards, R. L., Mayewski, P. A., Kipfstuhl, S., Buizert, C., Canessa, S., Dadic, R., Kjær, H. A., Kurbatov, A., Zhang, D., Waddington, E. D., Baccolo, G., Beers, T., Brightley, H. J., Carter, L., Clemens-Sewall, D., Ciobanu, V. G., Delmonte, B., Eling, L., Ellis, A. A., Ganesh, S., Golledge, N. R., Haines, S. A., Handley, M., Hawley, R. L., Hogan, C. M., Johnson, K. M., Korotkikh, E., Lowry, D. P., Mandeno, D., McKay, R. M., Menking, J. A., Naish, T. R., Noerling, C., Ollive, A., Orsi, A. J., Proemse, B. C., Pyne, A. R., Pyne, R. L., Renwick, J., Scherer, R. P., Semper, S., Simonsen, M., Sneed, S. B., Steig, E. J., Tuohy, A., Ulayottil Venugopal, A., Valero-Delgado, F., Venkatesh, J., Wang, Feitang, W., Shimeng, W., Dominic, A., Winton, V. H. L., Whiteford, A., Xiao, C., Yang, J., and Zhang, X.: Roosevelt Island Climate Evolution (RICE) ice core isotope record, PANGAEA, https://doi.org/10.1594/PANGAEA.880396, 2017. 

Bintanja, R., van Oldenborgh, G. J., Drijfhout, S. S., Wouters, B., and Katsman, C. A.: Important role for ocean warming and increased ice-shelf melt in Antarctic sea-ice expansion, Nat. Geosci., 6, 376–379, https://doi.org/10.1038/ngeo1767, 2013. 

Böning, C. W., Dispert, A., Visbeck, M., Rintoul, S. R., and Schwarzkopf, F. U.: The response of the Antarctic Circumpolar Current to recent climate change, Geoscience Nature, 1, 864–869, 2008. 

Bracegirdle, T. J., Turner, J., Hosking, J. S., and Phillips, T.: Sources of uncertainty in projections of twenty-first century westerly wind changes over the Amundsen Sea, West Antarctica, in CMIP5 climate models, Clim. Dynam., 43, 2093–2104, 2014. 

Braconnot, P., Harrison, S. P., Kageyama, M., Bartlein, P. J., Masson-Delmotte, V., Abe-Ouchi, A., Otto-Bliesner, B., and Zhao, Y.: Evaluation of climate models using palaeoclimatic data, Nat. Clim. Change, 2, 417–424, http://www.nature.com/nclimate/journal/v2/n6/abs/nclimate1456.html#supplementary-information, 2012. 

Bromwich, D. H., Nicolas, J. P., and Monaghan, A. J.: An Assessment of Precipitation Changes over Antarctica and the Southern Ocean since 1989 in Contemporary Global Reanalyses, J. Climate, 24, 4189–4209, https://doi.org/10.1175/2011jcli4074.1, 2011. 

Bromwich, D. H., Nicolas, J. P., Monaghan, A. J., Lazzara, M. A., Keller, L. M., Weidner, G. A., and Wilson, A. B.: Central West Antarctica among the most rapidly warming regions on Earth, Nat. Geosci., 6, 139–145, https://doi.org/10.1038/ngeo1671, 2013. 

Brook, E. J., White, J. W., Schilla, A. S., Bender, M. L., Barnett, B., Severinghaus, J. P., Taylor, K. C., Alley, R. B., and Steig, E. J.: Timing of millennial-scale climate change at Siple Dome, West Antarctica, during the last glacial period, Quaternary Sci. Rev., 24, 1333–1343, 2005. 

Buiron, D., Chappellaz, J., Stenni, B., Frezzotti, M., Baumgartner, M., Capron, E., Landais, A., Lemieux-Dudon, B., Masson-Delmotte, V., Montagnat, M., Parrenin, F., and Schilt, A.: TALDICE-1 age scale of the Talos Dome deep ice core, East Antarctica, Clim. Past, 7, 1–16, https://doi.org/10.5194/cp-7-1-2011, 2011. 

Conway, H., Hall, B. L., Denton, G. H., Gades, A. M., and Waddington, E. D.: Past and Future Grounding-Line Retreat of the West Antarctic Ice Sheet, Science, 286, 280–283, https://doi.org/10.1126/science.286.5438.280, 1999. 

Dansgaard, W. and Johnsen, S. J.: A flow model and a time scale for the ice core from Camp Century, Greenland, J. Glaciol., 8, 215–223, 1969. 

DeConto, R. M. and Pollard, D.: Contribution of Antarctica to past and future sea-level rise, Nature, 531, 591–597, 2016. 

Dee, D. P., Uppala, S. M., Simmons, A. J., Berrisford, P., Poli, P., Kobayashi, S., Andrae, U., Balmaseda, M. A., Balsamo, G., Bauer, P., Bechtold, P., Beljaars, A. C. M., van de Berg, L., Bidlot, J., Bormann, N., Delsol, C., Dragani, R., Fuentes, M., Geer, A. J., Haimberger, L., Healy, S. B., Hersbach, H., Hólm, E. V., Isaksen, L., Kållberg, P., Köhler, M., Matricardi, M., McNally, A. P., Monge-Sanz, B. M., Morcrette, J. J., Park, B. K., Peubey, C., de Rosnay, P., Tavolato, C., Thépaut, J. N., and Vitart, F.: The ERA-Interim reanalysis: configuration and performance of the data assimilation system, Q. J. Roy. Meteor. Soc., 137, 553–597, https://doi.org/10.1002/qj.828, 2011. 

DeVries, T., Holzer, M., and Primeau, F.: Recent increase in oceanic carbon uptake driven by weaker upper-ocean overturning, Nature, 542, 215–218, https://doi.org/10.1038/nature21068, 2017. 

Ding, Q. and Steig, E. J.: Temperature change on the Antarctic Peninsula linked to the tropical Pacific, J. Climate, 26, 7570–7585, 2013. 

Ding, Q., Steig, E. J., Battisti, D. S., and Küttel, M.: Winter warming in West Antarctica caused by central tropical Pacific warming, Nat. Geosci., 4, 398–403, 2011. 

Downes, S. M., Bindoff, N. L., and Rintoul, S. R.: Changes in the Subduction of Southern Ocean Water Masses at the End of the Twenty-First Century in Eight IPCC Models, J. Climate, 23, 6526–6541, https://doi.org/10.1175/2010jcli3620.1, 2010. 

Emanuelsson, B. D.: High-Resolution Water Stable Isotope Ice-Core Record: Roosevelt Island, Antarctica, PhD, Antarctic Research Centre, Victoria University, Wellington, 2016. 

Emanuelsson, B. D., Baisden, W. T., Bertler, N. A. N., Keller, E. D., and Gkinis, V.: High-resolution continuous-flow analysis setup for water isotopic measurement from ice cores using laser spectroscopy, Atmos. Meas. Tech., 8, 2869–2883, https://doi.org/10.5194/amt-8-2869-2015, 2015. 

Emanuelsson, B. D., Bertler, N. A. N., Neff, P. D., Renwick, J. A., Markle, B. R., Baisden, W. T., and Keller, E. D.: The role of Amundsen-Bellingshausen Sea anticyclonic circulation in forcing marine air mass intrusions into West Antarctica, Clim. Dynam., https://doi.org/10.1007/s00382-018-4097-3, 2018. 

Emile-Geay, J., Cobb, K. M., Mann, M. E., and Wittenberg, A. T.: Estimating Central Equatorial Pacific SST Variability over the Past Millennium. Part II: Reconstructions and Implications, J. Climate, 26, 2329–2352, https://doi.org/10.1175/jcli-d-11-00511.1, 2013. 

England, M. H., McGregor, S., Spence, P., Meehl, G. A., Timmermann, A., Cai, W., Gupta, A. S., McPhaden, M. J., Purich, A., and Santoso, A.: Recent intensification of wind-driven circulation in the Pacific and the ongoing warming hiatus, Nat. Clim. Change, 4, 222–227, https://doi.org/10.1038/nclimate2106, 2014. 

Ferreira, D., Marshall, J., Bitz, C. M., Solomon, S., and Plumb, A.: Antarctic Ocean and Sea Ice Response to Ozone Depletion: A Two-Time-Scale Problem, J. Climate, 28, 1206–1226, https://doi.org/10.1175/jcli-d-14-00313.1, 2015. 

Fogt, R. L. and Bromwich, D. H.: Decadal Variability of the ENSO Teleconnection to the High-Latitude South Pacific Governed by Coupling with the Southern Annular Mode, J. Climate, 19, 979–997, https://doi.org/10.1175/jcli3671.1, 2006. 

Fretwell, P., Pritchard, H. D., Vaughan, D. G., Bamber, J. L., Barrand, N. E., Bell, R., Bianchi, C., Bingham, R. G., Blankenship, D. D., Casassa, G., Catania, G., Callens, D., Conway, H., Cook, A. J., Corr, H. F. J., Damaske, D., Damm, V., Ferraccioli, F., Forsberg, R., Fujita, S., Gim, Y., Gogineni, P., Griggs, J. A., Hindmarsh, R. C. A., Holmlund, P., Holt, J. W., Jacobel, R. W., Jenkins, A., Jokat, W., Jordan, T., King, E. C., Kohler, J., Krabill, W., Riger-Kusk, M., Langley, K. A., Leitchenkov, G., Leuschen, C., Luyendyk, B. P., Matsuoka, K., Mouginot, J., Nitsche, F. O., Nogi, Y., Nost, O. A., Popov, S. V., Rignot, E., Rippin, D. M., Rivera, A., Roberts, J., Ross, N., Siegert, M. J., Smith, A. M., Steinhage, D., Studinger, M., Sun, B., Tinto, B. K., Welch, B. C., Wilson, D., Young, D. A., Xiangbin, C., and Zirizzotti, A.: Bedmap2: improved ice bed, surface and thickness datasets for Antarctica, The Cryosphere, 7, 375–393, https://doi.org/10.5194/tc-7-375-2013, 2013. 

Fudge, T., Markle, B. R., Cuffey, K. M., Buizert, C., Taylor, K. C., Steig, E. J., Waddington, E. D., Conway, H., and Koutnik, M.: Variable relationship between accumulation and temperature in West Antarctica for the past 31,000 years, Geophys. Res. Lett., 43, 3795–3803, 2016 (data available at: http://www.usap-dc.org/view/dataset/601004, last access: 13 July 2017). 

Gille, S. T.: Warming of the Southern Ocean since 1950s, Science, 295, 1275–1277, 2002. 

Gillett, N. P. and Fyfe, J. C.: Annular mode changes in the CMIP5 simulations, Geophys. Res. Lett., 40, 1189–1193, https://doi.org/10.1002/grl.50249, 2013. 

Golledge, N. R., Kowalewski, D. E., Naish, T. R., Levy, R. H., Fogwill, C. J., and Gasson, E. G.: The multi-millennial Antarctic commitment to future sea-level rise, Nature, 526, 421–425, https://doi.org/10.1038/nature15706, 2015. 

Greene, C. A., Gwyther, D. E., and Blankenship, D. D.: Antarctic mapping tools for MATLAB, Comput. Geosci., 104, 151–157, 2017. 

Henley, B. J., Gergis, J., Karoly, D. J., Power, S., Kennedy, J., and Folland, C. K.: A Tripole Index for the Interdecadal Pacific Oscillation, Clim. Dynam., 45, 3077–3090, https://doi.org/10.1007/s00382-015-2525-1, 2015. 

Holland, P. R. and Kwok, R.: Wind-driven trends in Antarctic sea-ice drift, Nat. Geosci., 5, 872–875, http://www.nature.com/ngeo/journal/v5/n12/abs/ngeo1627.html#supplementary-information, 2012. 

Holland, M. M., Landrum, L., Kostov, Y., and Marshall, J.: Sensitivity of Antarctic sea ice to the Southern Annular Mode in coupled climate models, Clim. Dynam., 49, https://doi.org/10.1007/s00382-016-3424-9, 2017. 

Jacobs, S. S., Giulivi, C. F., and Mele, P. A.: Freshening of the Ross Sea During the Late 20th Century, Science, 297, 386–389, https://doi.org/10.1126/science.1069574, 2002. 

Jacobs, S. S., Jenkins, A., Giulivi, C. F., and Dutrieux, P.: Stronger ocean circulation and increased melting under Pine Island Glacier ice shelf, Nat. Geosci., 4, 519–523, 2011. 

Jones, J. M., Gille, S. T., Goosse, H., Abram, N. J., Canziani, P. O., Charman, D. J., Clem, K. R., Crosta, X., de Lavergne, C., Eisenman, I., England, M. H., Fogt, R. L., Frankcombe, L. M., Marshall, G. J., Masson-Delmotte, V., Morrison, A. K., Orsi, A. J., Raphael, M. N., Renwick, J. A., Schneider, D. P., Simpkins, G. R., Steig, E. J., Stenni, B., Swingedouw, D., and Vance, T. R.: Assessing recent trends in high-latitude Southern Hemisphere surface climate, Nat. Clim. Change, 6, 917–926, 2016. 

Joughin, I. and Alley, R. B.: Stability of the West Antarctic ice sheet in a warming world, Nat. Geosci., 4, 506–513, 2011. 

Joughin, I., Smith, B. E., and Medley, B.: Marine Ice Sheet Collapse Potentially Under Way for the Thwaites Glacier Basin, West Antarctica, Science, 344, 735–738, 2014. 

Kay, S. M.: Modern spectral estimation, Pearson Education India, 1988. 

Keller, E. D., Baisden, W. T., Bertler, N. A. N., Emanuelsson, B. D., Canessa, S., and Phillips, A.: Calculating uncertainty for the RICE ice core continuous flow analysis water isotope record, Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2017-387, in review, 2018. 

Killick, R., Fearnhead, P., and Eckley, I. A.: Optimal Detection of Changepoints With a Linear Computational Cost, J. Amer. Statistical Assoc., 107, 1590–1598, https://doi.org/10.1080/01621459.2012.737745, 2012. 

Kingslake, J., Hindmarsh, R. C. A., Aðalgeirsdóttir, G., Conway, H., Corr, H. F. J., Gillet-Chaulet, F., Martín, C., King, E. C., Mulvaney, R., and Pritchard, H. D.: Full-depth englacial vertical ice sheet velocities measured using phase-sensitive radar, J. Geophys. Res.-Earth, 119, 2604–2618, https://doi.org/10.1002/2014jf003275, 2014 (data available at: https://gcmd.gsfc.nasa.gov/search/Metadata.do?entry=USAP-0944307&subset=GCMD, last access: 20 February 2018). 

Kohyama, T. and Hartmann, D. L.: Antarctic Sea Ice Response to Weather and Climate Modes of Variability, J. Climate, 29, 721–741, https://doi.org/10.1175/jcli-d-15-0301.1, 2015. 

Kosaka, Y. and Xie, S.-P.: Recent global-warming hiatus tied to equatorial Pacific surface cooling, Nature, 501, 403–407, https://doi.org/10.1038/nature12534, 2013. 

Kusahara, K. and Hasumi, H.: Modeling Antarctic ice shelf responses to future climate changes and impacts on the ocean, J. Geophys. Res.-Oceans, 118, 2454–2475, https://doi.org/10.1002/jgrc.20166, 2013. 

Küttel, M., Steig, E. J., Ding, Q., Monaghan, A. J., and Battisti, D. S.: Seasonal climate information preserved in West Antarctic ice core water isotopes: Relationships to temperature, large-scale circulation, and sea ice, Clim. Dynam., 39, 1841–1857, 2012. 

Landschützer, P., Gruber, N., Haumann, F. A., Rödenbeck, C., Bakker, D. C. E., van Heuven, S., Hoppema, M., Metzl, N., Sweeney, C., Takahashi, T., Tilbrook, B., and Wanninkhof, R.: The reinvigoration of the Southern Ocean carbon sink, Science, 349, 1221–1224, https://doi.org/10.1126/science.aab2620, 2015. 

Lavielle, M.: Using penalized contrasts for the change-point problem, Signal Process., 85, 1501–1510, https://doi.org/10.1016/j.sigpro.2005.01.012, 2005. 

Lliboutry, L. A.: A critical review of analytical approximate solutions for steady state velocities and temperature in cold ice sheets, Zeitschrift fuer Gletscherkunde, Glazialgeologie, 15, 135–148, 1979. 

Mandeno, D., Pyne, A. R., Bertler, N. A. N., and Neff, P.: Ice coring at Roosevelt Island: Drill design, performance and refrigeration solutions at a low altitude 'warm coastal' Antarctic location, 7th International Workshop on Ice Core Drilling Technology, Pyle Centre, University of Wisconsin, Madison, USA, 2013. 

Mantua, N. J. and Hare, S. R.: The Pacific Decadal Oscillation, J. Oceanogr., 58, 35–44, https://doi.org/10.1023/a:1015820616384, 2002. 

Marshall, G. J.: Trends in the Southern Annular Mode from observations and reanalyses, J. Climate, 16, 4134–4143, 2003. 

Marshall, G. J. and Thompson, D. W. J.: The signatures of large-scale patterns of atmospheric variability in Antarctic surface temperatures, J. Geophys. Res.-Atmos., 121, 3276–3289, https://doi.org/10.1002/2015jd024665, 2016. 

Marshall, G. J., Orr, A., and Turner, J.: A Predominant Reversal in the Relationship between the SAM and East Antarctic Temperatures during the Twenty-First Century, J. Climate, 26, 5196–5204, https://doi.org/10.1175/jcli-d-12-00671.1, 2013. 

Marshall, J. and Speer, K.: Closure of the meridional overturning circulation through Southern Ocean upwelling, Nat. Geosci., 5, 171–180, 2012. 

Masson-Delmotte, V., Hou, S., Ekaykin, A., Jouzel, J., Aristarain, A., Bernardo, R., Bromwich, D., Cattani, O., Delmotte, M., and Falourd, S.: A review of Antarctic surface snow isotopic composition: observations, atmospheric circulation, and isotopic modeling*, J. Climate, 21, 3359–3387, 2008. 

Matsuoka, K., Hindmarsh, R. C. A., Moholdt, G., Bentley, M. J., Pritchard, H. D., Brown, J., Conway, H., Drews, R., Durand, G., Goldberg, D., Hattermann, T., Kingslake, J., Lenaerts, J. T. M., Martín, C., Mulvaney, R., Nicholls, K. W., Pattyn, F., Ross, N., Scambos, T., and Whitehouse, P. L.: Antarctic ice rises and rumples: Their properties and significance for ice-sheet dynamics and evolution, Earth Sci. Rev., 150, 724, https://doi.org/10.1016/j.earscirev.2015.09.004, 2015. 

Meehl, G. A., Arblaster, J. M., Fasullo, J. T., Hu, A., and Trenberth, K. E.: Model-based evidence of deep-ocean heat uptake during surface-temperature hiatus periods, Nat. Clim. Change, 1, 360–364, http://www.nature.com/nclimate/journal/v1/n7/abs/nclimate1229.html#supplementary-information, 2011. 

Meehl, G. A., Arblaster, J. M., Bitz, C. M., Chung, C. T., and Teng, H.: Antarctic sea-ice expansion between 2000 and 2014 driven by tropical Pacific decadal climate variability, Nat. Geosci., 9, 590–595, 2016. 

Mo, K. C.: Relationships between Low-Frequency Variability in the Southern Hemisphere and Sea Surface Temperature Anomalies, J. Climate, 13, 3599–3610, https://doi.org/10.1175/1520-0442(2000)013<3599:rblfvi>2.0.co;2, 2000. 

Mo, K. C. and Higgins, R. W.: The Pacific-South American Modes and Tropical Convection during the Southern Hemisphere Winter, Mon. Weather Rev., 126, 1581–1596, https://doi.org/10.1175/1520-0493(1998)126<1581:tpsama>2.0.co;2, 1998. 

Morales Maqueda, M. A., Willmott, A. J., and Biggs, N. R. T.: Polynya Dynamics: a Review of Observations and Modeling, Rev. Geophys., 42, RG1004, https://doi.org/10.1029/2002rg000116, 2004. 

Nicolas, J. P. and Bromwich, D. H.: New Reconstruction of Antarctic Near-Surface Temperatures: Multidecadal Trends and Reliability of Global Reanalyses, J. Climate, 27, 8070–8093, https://doi.org/10.1175/jcli-d-13-00733.1, 2014 (data available at: http://polarmet.osu.edu/ datasets/Antarctic_recon/, last access: 13 July 2017). 

Noone, D. and Simmonds, I.: Sea ice control of water isotope transport to Antarctica and implications for ice core interpretation, J. Geophys. Res., 109, D07105, https://doi.org/10.1029/2003JD004228, 2004. 

Orsi, A. J., Cornuelle, B. D., and Severinghaus, J. P.: Little Ice Age cold interval in West Antarctica: evidence from borehole temperature at the West Antarctic Ice Sheet (WAIS) divide, Geophys. Res. Lett., 39, L09710, https://doi.org/10.1029/2012GL051260, 2012 (data available at: https://nsidc.org/data/NSIDC-0638/versions/1, last access: 13 July 2017). 

PAGES2k Consortium: Continental-scale temperature variability during the past two millennia, Nat. Geosci., 6, 339–346, https://doi.org/10.1038/ngeo1797, 2013. 

PAGES2k Consortium: A global multiproxy database for temperature reconstructions of the Common Era, Scientific Data, 4, 170088, https://doi.org/10.1038/sdata.2017.88, 2017. 

Paolo, F. S., Fricker, H. A., and Padman, L.: Volume loss from Antarctic ice shelves is accelerating, Science, 348, 327–331, https://doi.org/10.1126/science.aaa0940, 2015. 

Pollard, D., DeConto, R. M., and Alley, R. B.: Potential Antarctic Ice Sheet retreat driven by hydrofracturing and ice cliff failure, Earth Planet. Sc. Lett., 412, 112–121, https://doi.org/10.1016/j.epsl.2014.12.035, 2015. 

Power, S., Casey, T., Folland, C., Colman, A., and Mehta, V.: Inter-decadal modulation of the impact of ENSO on Australia, Clim. Dynam., 15, 319–324, https://doi.org/10.1007/s003820050284, 1999. 

Price, S., Conway, H., and Waddington, E.: Evidence for late pleistocene thinning of Siple Dome, West Antarctica, J. Geophys. Res.-Earth, 112, F03021, https://doi.org/10.1029/2006JF000725, 2007. 

Pyne, R., Keller, E., Canessa, S., Bertler, N., Pyne, A., Mandeno, D., Vallelonga, P., Semper, S., Kjær, H., and Hutchinson, E.: A Novel Approach to Process Brittle Ice for Continuous Flow Analysis of Stable Water Isotopes, J. Glaciol., accepted, 2018. 

Rabiner, L. R., Gold, B., and Yuen, C.: Theory and application of digital signal processing, IEEE T. Syst. Man Cyb., 8, 146–146, 1978. 

Raphael, M., Marshall, G., Turner, J., Fogt, R., Schneider, D., Dixon, D., Hosking, J., Jones, J., and Hobbs, W.: The Amundsen Sea low: Variability, change, and impact on Antarctic climate, B. Am. Meteorol. Soc., 97, 111–121, 2016. 

Raphael, M. N.: A zonal wave 3 index for the Southern Hemisphere, Geophys. Res. Lett., 31, L23212, https://doi.org/10.1029/2004GL020365, 2004. 

Raymond, C. F.: Deformation in the vicinity of ice divides, J. Glaciol., 29, 357–373, 1984. 

Rayner, N. A., Parker, D. E., Horton, E. B., Folland, C. K., Alexander, L. V., Rowell, D. P., Kent, E. C., and Kaplan, A.: Global analyses of sea surface temperature, sea ice, and night marine air temperature since the late nineteenth century, J. Geophys. Res., 108, D14, https://doi.org/10.1029/2002JD002670, 2003a. 

Rayner, N. A., Parker, D. E., Horton, E. B., Folland, C. K., Alexander, L. V., Rowell, D. P., Kent, E. C., and Kaplan, A.: Global analyses of sea surface temperature, sea ice, and night marine air temperature since the late nineteenth century, J. Geophys. Res.-Atmos., 108, 4407, https://doi.org/10.1029/2002jd002670, 2003b. 

Renwick, J. A.: Persistent Positive Anomalies in the Southern Hemisphere Circulation, Mon. Weather Rev., 133, 977–988, https://doi.org/10.1175/mwr2900.1, 2005. 

Rhodes, R. H., Bertler, N. A. N., Baker, J. A., Steen-Larsen, H. C., Sneed, S. B., Morgenstern, U., and Johnsen, S. J.: Little Ice Age climate and oceanic conditions of the Ross Sea, Antarctica from a coastal ice core record, Clim. Past, 8, 1223–1238, https://doi.org/10.5194/cp-8-1223-2012, 2012. 

Rignot, E., Mouginot, J., and Scheuchl, B.: Ice Flow of the Antarctic Ice Sheet, Science, 333, 1427–1430, https://doi.org/10.1126/science.1208336, 2011. 

Rignot, E., Mouginot, J., Morlighem, M., Seroussi, H., and Scheuchl, B.: Widespread, rapid grounding line retreat of Pine Island, Thwaites, Smith, and Kohler glaciers, West Antarctica, from 1992 to 2011, Geophys. Res. Lett., 41, 3502–3509, https://doi.org/10.1002/2014GL060140, 2014. 

Rintoul, S. R.: Rapid freshening of Antarctic Bottom Water formed in the Indian and Pacific oceans, Geophys. Res. Lett., 34, L06606, https://doi.org/10.1029/2006gl028550, 2007. 

Russell, J. L., Dixon, K. W., Gnanadesikan, A., Stouffer, R. J., and Toggweiler, J.: The Southern Hemisphere westerlies in a warming world: Propping open the door to the deep ocean, J. Climate, 19, 6382–6390, 2006. 

Scambos, T., Haran, T., Fahnestock, M., Painter, T., and Bohlander, J.: MODIS-based Mosaic of Antarctica (MOA) data sets: Continent-wide surface morphology and snow grain size, Remote Sens. Environ., 111, 242–257, 2007. 

Schneider, D. P., Steig, E. J., and Van Ommen, T.: High-resolution ice-core stable-isotopic records from Antarctica: towards interannual climate reconstruction, Ann. Glaciol., 41, 63–70, 2005. 

Schneider, D. P. and Steig, E. J.: Ice cores record significant 1940s Antarctic warmth related to tropical climate variability, P. Natl. Acad. Sci. USA, 105, 12154–12158, https://doi.org/10.1073/pnas.0803627105, 2008. 

Schneider, D. P., Okumura, Y., and Deser, C.: Observed Antarctic Interannual Climate Variability and Tropical Linkages, J. Climate, 25, 4048–4066, https://doi.org/10.1175/jcli-d-11-00273.1, 2012. 

Sen Gupta, A., Santoso, A., Taschetto, A. S., Ummenhofer, C. C., Trevena, J., and England, M. H.: Projected Changes to the Southern Hemisphere Ocean and Sea Ice in the IPCC AR4 Climate Models, J. Climate, 22, 3047–3078, https://doi.org/10.1175/2008jcli2827.1, 2009. 

Sigl, M., McConnell, J. R., Toohey, M., Curran, M., Das, S. B., Edwards, R., Isaksson, E., Kawamura, K., Kipfstuhl, S., Krüger, K., Layman, L., Maselli, O. J., Motizuki, Y., Motoyama, H., Pasteris, D. R., and Severi, M.: Insights from Antarctica on volcanic forcing during the Common Era, Nat. Clim. Change, 4, 693, https://doi.org/10.1038/nclimate2293, 2014. 

Sinclair, K. E., Bertler, N. A. N., and Trompetter, W. J.: Synoptic controls on precipitation pathways and snow delivery to high-accumulation ice core sites in the Ross Sea region, Antarctica, J. Geophys. Res., 115, D22112, https://doi.org/10.1029/2010jd014383, 2010. 

Sinclair, K. E., Bertler, N. A. N., Bowen, M. M., and Arrigo, K. R.: Twentieth century sea-ice trends in the Ross Sea from a high-resolution, coastal ice-core record, Geophys. Res. Lett., 41, 3510–3516, https://doi.org/10.1002/2014GL059821, 2014. 

Spence, P., Saenko, O. A., Dufour, C. O., Le Sommer, J., and England, M. H.: Mechanisms Maintaining Southern Ocean Meridional Heat Transport under Projected Wind Forcing, J. Phys. Oceanogr., 42, 1923–1931, https://doi.org/10.1175/jpo-d-12-03.1, 2012. 

Stammerjohn, S., Massom, R., Rind, D., and Martinson, D.: Regions of rapid sea ice change: An inter-hemispheric seasonal comparison, Geophys. Res. Lett., 39, L06501, https://doi.org/10.1029/2012gl050874, 2012. 

Stammerjohn, S. E., Martinson, D. G., Smith, R. C., Yuan, X., and Rind, D.: Trends in Antarctic annual sea ice retreat and advance and their relation to El Niño–Southern Oscillation and Southern Annular Mode variability, J. Geophys. Res.-Oceans, 113, C03S90, https://doi.org/10.1029/2007jc004269, 2008. 

Steig, E. J., Hart, C. P., White, J. W. C., Cunningham, W. L., David, M. D., and Saltzman, E. S.: Changes in climate, ocean and ice sheet conditions in the Ross Sea Embayment at 6 ka, Ann. Glaciol., 27, 305–310, 1998. 

Steig, E. J., Morse, D. L., Waddington, E., Stuiver, M., and Grootes, P. M.: Wisconsinian and Holocene climate history from an ice core at Taylor Dome, western Ross Sea Embayment, Antarctica, Geogr. Ann. A, 82, 213–235, 2000 (data available at: https://www1.ncdc.noaa.gov/pub/data/paleo/pages2k/pages2k-temperature-v2-2017/data-current-version/Ant-TaylorDome.Steig.2000.txt, last access: 13 July 2017). 

Steig, E. J., Schneider, D. P., Rutherford, S. D., Mann, M. E., Comiso, J. C., and Shindell, D. T.: Warming of the Antarctic ice-sheet surface since the 1957 International Geophysical Year, Nature, 457, 459–462, https://doi.org/10.1038/nature07669, 2009. 

Steig, E. J., Ding, Q., Battisti, D., and Jenkins, A.: Tropical forcing of Circumpolar Deep Water inflow and outlet glacier thinning in the Amundsen Sea Embayment, West Antarctica, Ann. Glaciol., 53, 19–28, 2012. 

Steig, E. J., Ding, Q., White, J. W. C., Kuttel, M., Rupper, S. B., Neumann, T. A., Neff, P. D., Gallant, A. J. E., Mayewski, P. A., Taylor, K. C., Hoffmann, G., Dixon, D. A., Schoenemann, S. W., Markle, B. R., Fudge, T. J., Schneider, D. P., Schauer, A. J., Teel, R. P., Vaughn, B. H., Burgener, L., Williams, J., and Korotkikh, E.: Recent climate and ice-sheet changes in West Antarctica compared with the past 2,000 years, Nat. Geosci., 6, 372–375, https://doi.org/10.1038/ngeo1778, 2013. 

Stenni, B., Proposito, M., Gragnani, R., Flora, O., Jouzel, J., Falourd, S., and Frezzotti, M.: Eight centuries of volcanic signal and climate change at Talos Dome (East Antarctica), J. Geophys. Res.-Atmos., 107, https://doi.org/10.1029/2000JD000317, 2002 (data available at: https://www.ncdc.noaa.gov/paleo/study/22712, last access: 7 December 2017). 

Stenni, B., Buiron, D., Frezzotti, M., Albani, S., Barbante, C., Bard, E., Barnola, J., Baroni, M., Baumgartner, M., and Bonazza, M.: Expression of the bipolar see-saw in Antarctic climate records during the last deglaciation, Nat. Geosci., 4, 46–49, 2011. 

Stenni, B., Curran, M. A. J., Abram, N. J., Orsi, A., Goursaud, S., Masson-Delmotte, V., Neukom, R., Goosse, H., Divine, D., van Ommen, T., Steig, E. J., Dixon, D. A., Thomas, E. R., Bertler, N. A. N., Isaksson, E., Ekaykin, A., Werner, M., and Frezzotti, M.: Antarctic climate variability on regional and continental scales over the last 2000 years, Clim. Past, 13, 1609–1634, https://doi.org/10.5194/cp-13-1609-2017, 2017 (data available at: https://www1.ncdc.noaa.gov/pub/data/paleo/pages2k/stenni2017antarctica/, last access: 7 December 2017). 

Stouffer, R. J., Eyring, V., Meehl, G. A., Bony, S., Senior, C., Stevens, B., and Taylor, K. E.: CMIP5 Scientific Gaps and Recommendations for CMIP6, B. Am. Meteorol. Soc., 98, 95–105, https://doi.org/10.1175/bams-d-15-00013.1, 2017. 

Thomas, E. and Bracegirdle, T.: Improving ice core interpretation using in situ and reanalysis data, J. Geophys. Res.-Atmos., 114, D20116, https://doi.org/10.1029/2009JD012263, 2009. 

Thomas, E., Dennis, P., Bracegirdle, T. J., and Franzke, C.: Ice core evidence for significant 100-year regional warming on the Antarctic Peninsula, Geophys. Res. Lett., 36, L20704, https://doi.org/10.1029/2009GL040104, 2009. 

Thomas, E. R., van Wessem, J. M., Roberts, J., Isaksson, E., Schlosser, E., Fudge, T. J., Vallelonga, P., Medley, B., Lenaerts, J., Bertler, N., van den Broeke, M. R., Dixon, D. A., Frezzotti, M., Stenni, B., Curran, M., and Ekaykin, A. A.: Regional Antarctic snow accumulation over the past 1000 years, Clim. Past, 13, 1491–1513, https://doi.org/10.5194/cp-13-1491-2017, 2017. 

Thompson, D. W. J. and Solomon, S.: Interpretation of recent Southern Hemisphere climate change, Science, 296, 895–899, 2002a. 

Thompson, D. W. J. and Solomon, S.: Interpretation of recent Southern Hemisphere climate change, Science, 296, 895–899, 2002b. 

Thompson, D. W. J. and Wallace, J. M.: Annular Modes in the Extratropical Circulation. Part I: Month-to-Month Variability, J. Climate, 13, 1000–1016, https://doi.org/10.1175/1520-0442(2000)013<1000:amitec>2.0.co;2, 2000. 

Thompson, D. W. J., Solomon, S., Kushner, P. J., England, M. H., Grise, K. M., and Karoly, D. J.: Signatures of the Antarctic ozone hole in Southern Hemisphere surface climate change, Nat. Geosci., 4, 741–749, 2011. 

Toggweiler, J. R. and Russell, J.: Ocean circulation in a warming climate, Nature, 451, 286–288, 2008. 

Trenberth, K. E. and Stepaniak, D. P.: Indices of El Niño Evolution, J. Climate, 14, 1697–1701, 10.1175/1520-0442(2001)014<1697:lioeno>2.0.co;2, 2001. 

Tuohy, A., Bertler, N., Neff, P., Edwards, R., Emanuelsson, D., Beers, T., and Mayewski, P.: Transport and deposition of heavy metals in the Ross Sea Region, Antarctica, J. Geophys. Res.-Atmos., 120, 10996–911011, https://doi.org/10.1002/2015jd023293, 2015. 

Turner, J.: The El Niño–Southern Oscillation and Antarctica, Int. J. Climatol., 24, 1–31, https://doi.org/10.1002/joc.965, 2004.  

Turner, J., Colwell, S. R., Marshall, G. J., Lachlan-Cope, T. A., Carleton, A. M., Jones, P. D., Lagun, V., Reid, P. A., and Iagovkina, S.: The SCAR READER Project: Toward a High-Quality Database of Mean Antarctic Meteorological Observations, J. Climate, 17, 2890–2898, https://doi.org/10.1175/1520-0442(2004)017<2890:TSRPTA>2.0.CO;2, 2004. 

Turner, J., Phillips, T., Hosking, J. S., Marshall, G. J., and Orr, A.: The Amundsen Sea Low, Int. J. Climatol., 33, 1818–1829, 2013. 

Turner, J., Phillips, T., Marshall, G. J., Hosking, J. S., Pope, J. O., Bracegirdle, T. J., and Deb, P.: Unprecedented springtime retreat of Antarctic sea ice in 2016, Geophys. Res. Lett., 44, 6868–6875, https://doi.org/10.1002/2017gl073656, 2017. 

Vinther, B. M., Buchardt, S. L., Clausen, H. B., Dahl-Jensen, D., Johnsen, S. J., Fisher, D. A., Koerner, R. M., Raynaud, D., Lipenkov, V., Andersen, K. K., Blunier, T., Rasmussen, S. O., Steffensen, J. P., and Svensson, A. M.: Holocene thinning of the Greenland ice sheet, Nature, 461, 385–388, https://doi.org/10.1038/nature08355, 2009. 

WAIS Divide Project Members: Onset of deglacial warming in West Antarctica driven by local orbital forcing, Nature, 500, 440–444, 2013 (data available at: https://www.nature.com/articles/nature12376#supplementary-information , last access: 13 July 2017. 

Wang, S., Huang, J., He, Y., and Guan, Y.: Combined effects of the Pacific Decadal Oscillation and El Niño-Southern Oscillation on Global Land Dry–Wet Changes, Scientific Reports, 4, 6651, https://doi.org/10.1038/srep06651, 2014. 

Wang, Y., Ding, M., Wessem, J. M. V., Schlosser, E., Altnau, S., Broeke, M. R. v. d., Lenaerts, J. T. M., Thomas, E. R., Isaksson, E., Wang, J., and Sun, W.: A Comparison of Antarctic Ice Sheet Surface Mass Balance from Atmospheric Climate Models and In Situ Observations, J. Climate, 29, 5317–5337, https://doi.org/10.1175/jcli-d-15-0642.1, 2016. 

Winstrup, M. and Vallelonga, P. T.: Roosevelt Island Climate Evolution (RICE) ice core: The RICE17 chronology and accumulation record for the past 2700 years, PANGAEA, https://doi.org/10.1594/PANGAEA.882202, 2017. 

Winstrup, M., Vallelonga, P., Kjær, H. A., Fudge, T. J., Lee, J. E., Riis, M. H., Edwards, R., Bertler, N. A. N., Blunier, T., Brook, E. J., Buizert, C., Ciobanu, G., Conway, H., Dahl-Jensen, D., Ellis, A., Emanuelsson, B. D., Keller, E. D., Kurbatov, A., Mayewski, P., Neff, P. D., Pyne, R., Simonsen, M. F., Svensson, A., Tuohy, A., Waddington, E., and Wheatley, S.: A 2700-year annual timescale and accumulation history for an ice core from Roosevelt Island, West Antarctica, Clim. Past Discuss., https://doi.org/10.5194/cp-2017-101, in review, 2017. 

Wong, A. P. S., Bindoff, N. L., and Church, J. A.: Large-scale freshening of intermediate waters in the Pacific and Indian oceans, Nature, 400, 440–443, 1999. 

Yuan, X. and Martinson, D. G.: The Antarctic dipole and its predictability, Geophys. Res. Lett., 28, 3609–3612, https://doi.org/10.1029/2001GL012969, 2001. 

Publications Copernicus
Download
Short summary
Temperature and snow accumulation records from the annually dated Roosevelt Island Climate Evolution (RICE) ice core show that for the past 2 700 years, the eastern Ross Sea warmed, while the western Ross Sea showed no trend and West Antarctica cooled. From the 17th century onwards, this dipole relationship changed. Now all three regions show concurrent warming, with snow accumulation declining in West Antarctica and the eastern Ross Sea.
Temperature and snow accumulation records from the annually dated Roosevelt Island Climate...
Citation