Glacier change along West Antarctica's Marie Byrd Land Sector and links to inter-decadal atmosphere–ocean variability
- 1School of GeoSciences, University of Edinburgh, Edinburgh, EH8 9XP, UK
- 2Department of Earth & Space Sciences, University of Washington, Seattle, WA 98195-1310, USA
- 3NERC British Antarctic Survey, Cambridge, CB3 0ET, UK
Correspondence: Robert Bingham (firstname.lastname@example.org)
Over the past 20 years satellite remote sensing has captured significant downwasting of glaciers that drain the West Antarctic Ice Sheet into the ocean, particularly across the Amundsen Sea Sector. Along the neighbouring Marie Byrd Land Sector, situated west of Thwaites Glacier to Ross Ice Shelf, glaciological change has been only sparsely monitored. Here, we use optical satellite imagery to track grounding-line migration along the Marie Byrd Land Sector between 2003 and 2015, and compare observed changes with ICESat and CryoSat-2-derived surface elevation and thickness change records. During the observational period, 33 % of the grounding line underwent retreat, with no significant advance recorded over the remainder of the ∼ 2200 km long coastline. The greatest retreat rates were observed along the 650 km-long Getz Ice Shelf, further west of which only minor retreat occurred. The relative glaciological stability west of Getz Ice Shelf can be attributed to a divergence of the Antarctic Circumpolar Current from the continental-shelf break at 135∘ W, coincident with a transition in the morphology of the continental shelf. Along Getz Ice Shelf, grounding-line retreat reduced by 68 % during the CryoSat-2 era relative to earlier observations. Climate reanalysis data imply that wind-driven upwelling of Circumpolar Deep Water would have been reduced during this later period, suggesting that the observed slowdown was a response to reduced oceanic forcing. However, lack of comprehensive oceanographic and bathymetric information proximal to Getz Ice Shelf's grounding zone make it difficult to assess the role of intrinsic glacier dynamics, or more complex ice-sheet–ocean interactions, in moderating this slowdown. Collectively, our findings underscore the importance of spatial and inter-decadal variability in atmosphere and ocean interactions in moderating glaciological change around Antarctica.
Recent in situ and satellite remote sensing campaigns have played an important role in constraining the relative roles of ice, ocean and atmosphere interactions responsible for controlling the substantial ice losses observed in the Amundsen Sea Sector of West Antarctica over the last ∼ 25 years (Rignot et al., 2008; Mouginot et al., 2014; Sutterley et al., 2014). Comprehending the drivers of these ice losses is imperative for accurately projecting the contribution of the West Antarctic Ice Sheet to global sea-level rise in the coming decades (e.g. Vaughan et al., 2013). Observations of the ice streams and glaciers draining into this sector, in particular Pine Island Glacier and Thwaites Glacier, have revealed rapid grounding-line retreat (cf. Park et al., 2013; Rignot et al. 2014; Scheuchl et al., 2016), pronounced ice-dynamic thinning (Pritchard et al., 2009, 2012; Konrad et al., 2017), ice-flow-speedup (Mouginot et al., 2014; Gardner et al., 2018), and large ice-shelf melting rates (Depoorter et al., 2013; Rignot et al., 2013; Paolo et al., 2015; Gourmelen et al., 2017a). These phenomena have been attributed to oceanic and atmospheric forcing impinging on the West Antarctic margin (e.g. Jacobs et al., 2011; Dutrieux et al., 2014; Webber et al., 2017).
Whilst the processes driving ice–ocean–atmosphere interactions are being increasingly elucidated for the Amundsen Sea Sector (Jenkins et al., 2016; Asay-Davis et al., 2017; Turner et al., 2017), they remain poorly constrained elsewhere along coastal West Antarctica owing to a dearth of glaciological, oceanographical, and climatological observations. Some recent studies have highlighted accelerated dynamic thinning along the Bellingshausen Sea margin (Helm et al., 2014; Paolo et al., 2015; Wouters et al., 2015; Christie et al., 2016; Gardner et al., 2018) potentially linked to atmosphere–ocean forcing similar to that at work in the Amundsen Sea Sector (e.g. Holland et al., 2010; Zhang et al., 2016). Along the Marie Byrd Land coastline of West Antarctica between Thwaites Glacier and the Ross Ice Shelf, little published research exists on the pace and variability of glaciological change or its drivers. Nonetheless, parts of this region have also exhibited rapid downwasting and probable dynamic imbalance over at least the last two decades (e.g. Pritchard et al., 2012; Shepherd et al., 2012; McMillan et al., 2014), notably along the ∼ 650 km-wide Getz Ice Shelf, which has been identified as one of the largest contributors of meltwater originating from sub-ice-shelf melting in Antarctica (Depoorter et al., 2013; Jacobs et al., 2013; Rignot et al., 2013).
In this paper, we present changes in the position of the grounding line along the Marie Byrd Land coastline of West Antarctica, as identified from medium-resolution optical satellite imagery (Landsat and ASTER) between 2003 and 2015. We also recover contemporaneous ice-thinning rates from ICESat laser-altimetry and CryoSat-2 radar-altimetry records. We compare these glaciological observations with ERA-Interim climate reanalysis records of the offshore wind field, which acts as a proxy for the intrusion of warm circumpolar deep water (CDW) onto the continental shelf.
We define our study domain as the coastline of West Antarctica from parallels 114 to 157∘ W (Fig. 1). We term this region, which encompasses the western periphery of Getz Ice Shelf to the eastward limit of the Ross Ice Shelf front, the Marie Byrd Land Sector (MBLS).
2.1 Grounding-line detection and change quantification
To track changes in the position of the MBLS grounding line (GL), we follow the methodology detailed in Christie et al. (2016). For background, we briefly lay out the main principles of this technique.
We use medium-resolution optical satellite imagery to delineate the break-in-slope across the grounding zone, otherwise known as the “inflexion point”, Ib, defined as the most seaward continuous surface-slope break detectable in optical satellite imagery (Scambos et al., 2007; Fricker et al., 2009). Used as a proxy for the true GL, which cannot be recovered directly from satellite remote sensing, Ib appears as a clearly defined shadow-like change in on-screen pixel intensity (cf. Bindschadler et al., 2011). Most commonly situated approximately 1–2 km downstream of the true GL, Ib typically represents the structural transition from undulating, subglacial-terrain-modulated grounded ice to smoother, floating ice where basal stresses tend towards zero seaward of the GL (see Christie et al., 2016; their Fig. S1).
We used Landsat optical imagery as our primary data source owing to its unmatched, near complete spatial-temporal coverage of the MBLS compared to other freely available remote sensing data sets capable of detecting GL position (cf., Brunt et al., 2011; Rignot et al., 2011). The data were acquired by Landsat's Enhanced Thematic Mapper (ETM+) and Operational Land Imager (OLI) sensors, on-board the Landsat 7 and 8 platforms, respectively. In addition, for selected sites during 2003, where Landsat-based mapping was precluded due to persistent cloud cover or poor data quality, we utilized geometrically corrected Terra-ASTER (Advanced Spaceborne Thermal Emission and Reflection Radiometer) Level 1T optical data to supplement our analyses (Fig. S1; Table S1 in the Supplement). We tracked the position of Ib along the MBLS at approximately 50–100 m intervals for years 2003, 2008, 2010, and 2015, in order to calculate proxy-GL change over the ICESat (2003–2008) and CryoSat-2 (2010–2015) orbital campaign periods (cf. Pritchard et al., 2009, 2012; Helm et al., 2014). The majority of scenes utilized were acquired during austral summertime (January, February, March), and all scenes had a cloud coverage of < 40 %. For 2003 and 2008, additional Landsat scenes acquired in December 2002/2007 were utilized when 2003/2008 Landsat and ASTER spatial coverage was restricted by excessive summertime cloud cover. The final Ib products were smoothed using standard GIS tools (cf. Depoorter et al., 2013; Christie et al., 2018), and reflect the mean summertime GL position for each year as resolved from all available Landsat or ASTER imagery.
There are certain conditions under which Ib from optical imagery acts as a poor proxy for the true GL. Such circumstances include the mapping of Ib over lightly grounded ice plains, where multiple or no continuous breaks-in-slope are detectable in optical imagery; instances where the location of Ib lies many kilometres landward or seaward of the true GL near ice-plains or ephemerally grounded pinning points (cf. Fricker & Padman, 2006; Fricker et al., 2009; Brunt et al., 2010, 2011); and over fast-flowing ice streams, where shallow ice-surface slopes, pronounced ice-surface flowlines, and dense crevasse fields render the location of the break-in-slope ambiguous or impossible to delimit (cf. Bindschadler et al., 2011; Rignot et al., 2011). Within the MBLS, such regions include the fast-flowing Berry and DeVicq Glaciers (> 1000 m yr−1; Rignot et al., 2011), as well as a minor number of small-scale suspected ice plains and pinning points throughout the Getz and Nickerson Ice Shelves. Therefore, we excluded such sites, which account for < 1 % of the MBLS coastline, from our analysis.
Errors in delineating Ib from optical imagery are derived as a function of satellite orbital geometric error, sensor spatial resolution, and Ib pixel classification confidence, following the protocol outlined in Bindschadler et al. (2011) and Christie et al. (2016; their Text S1 and Table S2). For any given year, we estimate 1σ positional uncertainty to equal approximately ±100 m (Landsat data) or ±47 m (ASTER data) along the majority of the MBLS coastline (Table S1).
To propagate error between successive Landsat Ib observations, associated with combining ETM+/ETM+ (for mapped Ib years ca. 2003, ca. 2008) or ETM+/OLI (years 2010, 2015) sensor data, we additionally calculated the root-sum-square of the 1α-positional uncertainty values calculated for each sensor. This yielded a mean standard error of ∼ ±140 m for most of the main coastline and surrounding islands bounded by ice shelves (Table S2). To calculate uncertainty in 2003–2008 analyses, where 2003 ASTER L1T imagery was utilized in lieu of missing Landsat spatial coverage, the same calculation was applied. Whilst the propagated uncertainty associated with combining ASTER L1T and Landsat ETM+ data (±113 m; Table S2) is less than that calculated for combined ETM+/ETM+ and ETM+/OLI sensor observations, for ease of comparability between multi-sensor analyses (Figs. 1 and 2), error values were upscaled to match Landsat-based estimates (∼ ±140 m).
For most of the coastline, any overall imprecision in locating Ib (on the order of ∼ 10–100 m) is outweighed by changes in its position over 5 years, i.e. GL advance or retreat on the order of ≥102–103 m. These uncertainties broadly match the positional errors reported in other satellite-based GL detection studies (cf. Brunt et al., 2010, 2011; Rignot et al., 2011; Joughin et al., 2016; Scheuchl et al., 2016). Additional confounding variables such as diurnal tidal variability and atmospheric forcing – previously recognized as important controls on GL migration over much shorter temporal baselines (Anandakrishnan et al., 2003; Fricker et al., 2009; Brunt et al., 2010) – are assumed to be negligible over the timescales we consider (cf. Milillo et al., 2017).
Upon completion of mapping, GL advance and retreat magnitudes were derived using the procedure detailed in Christie et al. (2016; their Sect. 2.3 and Text S2). Here, we defined our mapped 2015 Ib line as a baseline. This baseline was partitioned into 30 km segments along the length of the MBLS coast, which permitted the derivation of normal polylines extending infinitely landward and seaward along the outer limits of each segment, intersecting the mapped Ib lines recovered for earlier years. This enabled the creation of GL change polygons representing Ib migration (advance, retreat) over (2015baseline–y), where y= earlier mapped year of interest, and permitted the calculation of Ib advance/retreat rates between 2003–2008 and 2010–2015 (Data Set S2).
2.2 Surface elevation and floating ice thickness changes
We compared GL migration along the MBLS with contemporaneous surface elevation change rates derived from ICESat laser- (2003–2008) and CryoSat-2 radar-altimetry records (2010–2016). We used the data of Pritchard et al. (2009, 2012) to ascertain ICESat era surface elevation change rates (Δh∕Δt) over grounded and floating ice within our domain. Following Pritchard et al. (2009; their Text S1) and Pritchard et al. (2012; their Text S1.1), these data sets were derived from the interpolation of successive near-repeat track median-filtered data acquired over the MBLS, and were converted into smoothed, 10 km grids of mean Δh∕Δt calculated over a 30 km radius. Grids of Δh∕Δt over grounded and floating ice were processed independently to avoid averaging over the grounding zone, and data acquired over other areas suspected not to be freely floating were culled prior to the gridding. Following Pritchard et al. (2012; their Text S1.4 and Table S1), we estimate mean absolute uncertainty in ICESat area-averaged Δh∕Δt to be ∼ ±0.04 and ±0.08 m yr−1 over floating and grounded ice, respectively. Over floating ice, Δh∕Δt was subsequently converted into ice-shelf-thickness change rates (ΔT∕Δt) following a similar methodology to Pritchard et al. (2012), using an assumed ice density of 917 kg m−3 (cf. Shepherd et al., 2010; Paolo et al., 2015). Propagated uncertainties associated with this conversion equal ±0.40 m yr−1.
To obtain surface elevation changes over the CryoSat-2 era, we applied a novel, recently documented swath processing technique (Foresta et al., 2016; Gourmelen et al., 2017a) to CryoSat-2 Synthetic Aperture Radar Interferometric (SARIn) mode data acquired between 2010 and 2016 over the MBLS. Previously applied to other regions of Antarctica (Christie et al., 2016; Smith et al., 2017; Gourmelen et al., 2017a), this technique offers 1 to 2 orders of magnitude more elevation measurements than conventional point-of-closest-approach (POCA) altimetry techniques, thereby maximizing spatial coverage and spatial-temporal resolution of ice-sheet marginal areas, including over floating ice (Gourmelen et al., 2017a). Numerous corrections were implemented to the L1b data set during the production of the swath data set, including, over floating ice, the negation of ocean loading and tidal effects using the CATS2008A tidal model (Padman et al., 2002; following Pritchard et al., 2012); Gourmelen et al. (2017a) provide a comprehensive discussion of these processes.
We derived linear rates of surface elevation change from time-dependent swath elevation data acquired between 2010 and 2016 using a plane fit approach on a 10 km grid posting (cf. Gourmelen et al., 2017b). This posting was chosen to match the spatial resolution of our gridded ICES at Δh∕Δt data set, in order to facilitate comparison of changes in Δh∕Δt between the ICESat and CryoSat-2 eras. Over floating ice, we additionally employed a Lagrangian framework to derive elevation and rates of surface elevation change to avoid interference associated with the advection of ice-shelf topography through time (Dutrieux et al., 2013; Moholdt et al., 2015; Gourmelen et al., 2017a). To do this, we used the MEaSUREs (Making Earth System Data Records for Use in Research Environments) version 2 data set (Rignot et al., 2017) and additional ice velocity fields generated from feature-tracking of Landsat 8 imagery for the period 2013–2016 (Dehecq et al., 2015) to calculate and assign the position that each CryoSat-2 swath measurement would have had at the beginning of the CryoSat-2 operational period (July 2010). Finally, we corrected for the effects of surface mass balance and firn compaction processes throughout MBLS using the RACMO2.3p2 (5.5 km) and IMAU-FDM (5.5 km) models (Ligtenberg et al., 2011; Lenaerts et al., 2012, 2017; Van Wessem et al., 2014, 2016; Gourmelen et al., 2017a). Final uncertainties associated with the swath processing technique were recovered following Gourmelen et al. (2017a; their Text S1), and average ±0.03 m yr−1 over both grounded and floating ice.
Over floating ice, CryoSat-2 era surface elevation change rates were transformed into thickness change rates using the same methodology as for ICESat data, with a propagated uncertainty of ±0.30 m yr−1. Three-monthly shelf-averaged thickness change rates were also obtained as part of the swath processing technique, using the methodology of Foresta et al. (2016), prior to the Lagrangian correction detailed above. This permitted the comparison of mean shelf-ice thickness changes against the 2003–2008 (ICESat era) and longer-term radar-altimetry-derived record (Paolo et al., 2015, see also Sect. 3).
2.3 Ice–atmosphere–ocean proxies
To investigate the role of atmospheric and oceanic forcing on glaciological change between 2003 and 2015, we examined mean zonal wind and Ekman vertical velocity anomalies on and near the MBLS' continental shelf, using ECMWF ERA-Interim climate reanalysis data (cf. Dee et al., 2011). To supplement our analyses, we also compared these data sets to changes in sub-surface ocean temperature derived from Met Office EN4 objective analysis products (cf. Good et al., 2013). These methods were utilized due to a dearth of high-resolution, spatially, and temporally continuous in situ oceanographical observations within the MBLS during the observational period, with the last comprehensive and publicly available surveys having been carried out in 2000 and 2007 (Jacobs et al., 2013).
2.3.1 Zonal wind anomalies
Previously established to be a reliable proxy for warm circumpolar deep water upwelling and intrusion onto West Antarctica's continental shelf (Thoma et al., 2008; Steig et al., 2012; Dutrieux et al., 2014), 10 m zonal wind anomalies (U) along the MBLS continental-shelf slope and break (CSB) were calculated using ERA-Interim monthly mean of daily mean model outputs (Dee et al., 2011), for all months between January 1979 and December 2016 inclusive. Anomalies were derived by subtracting long-term monthly mean values from the monthly mean of daily mean data set, beginning in January 1979. To examine inter-decadal variability in U, monthly anomalies were averaged over annual timescales to simplify comparison between successive years (see Sect. 3.3).
2.3.2 Ekman vertical velocity
A derivative of the wind stress field, Ekman vertical velocity, approximates the rate at which the wind stress curl raises subsurface isopycnals, and can be used as a first-order estimate for Ekman transport-induced upwelling of interior ocean water masses, including relatively warm upper CDW layers (Marshall and Plumb, 2008). Ekman vertical velocities (hereafter wE) were calculated by converting 10 m zonal and meridional wind anomalies into relative wind stresses in fixed grid x (zonal) and y (meridional) planes (τx and τy, respectively; Nm s−1), using the quadratic stress law detailed in Marshall and Plumb (2008, their Eq. 10-1) with an assumed ocean-air neutral drag coefficient of 1.5 × 10−3 (dimensionless; cf. McGregor et al., 2012; Smith et al., 1988). wE was then obtained from the following equation (cf. Marshall and Plumb, 2008; their Equation 10-8):
where f denotes the Coriolis parameter at latitude φ; ω is the Earth's angular velocity ( rad s−1); and pw is the density of the Ekman layer ocean water (1027.5 kg m−3). wE anomalies were derived from the mean of all ERA-Interim grid cells located on the continental shelf, shelf break and slope of the MBLS. As for zonal wind calculations (Sect. 2.3.1), monthly anomalies were annually averaged to examine inter-decadal variability in wE (see Sect. 3.3).
2.3.3 Changes in subsurface ocean temperature
Changes in subsurface potential temperature linked to temporal variability in atmospheric forcing were examined using monthly Met Office EN4 objective analysis solutions for 2000–2017 (Good et al., 2013). Unlike ocean models or reanalysis data, these products represent quality-controlled, monthly gridded interpolations of all available in situ ocean observations assimilated from the World Ocean Database (WOD09/13), the Global Temperature and Salinity Profile Program (GTSPP), and global Argo float data; Good et al. (2013) provide a thorough discussion of these data sources and their interpolation methodologies. While subject to high uncertainty (see Good et al., 2013 for further discussion) and coarse (1∘ × 1∘) spatial resolution, these observations provide an independent first-order impression of changes in the Southern Ocean's vertical hydrography (cf. Miles et al., 2016) to support our climate reanalysis records. We derived annually averaged estimates of ocean potential temperature using EN4.2.1 data for all months between January 2000 and December 2017 (inclusive), and used the time-variable mechanical and expendable bathythermograph bias corrections of Gouretski and Reseghetti (2010) in our analyses.
3.1 Grounding-line change 2003–2015
Figure 1 indicates that from 2003 to 2015 GL retreat occurred along ∼ 33 % of the MBLS coastline. This quantity incorporates the entire mainland coastline and Siple and Carney Islands. No net GL advance was observed from 2003 to 2015. The greatest retreat occurred along Getz Ice Shelf, particularly across its central sector between Wright and Dean Islands (“Central” region in Fig. 1, inset), and near the western edge of Getz Ice Shelf, adjacent to De Vicq and Berry Glaciers (“West”, Fig. 1 inset). The greatest magnitude of GL retreat totalled 1.72 ± 0.14 km on Scott Peninsula (corresponding to Segment 9 in Data Set S2 in the Supplement). Locally averaged GL retreat was ∼ 0.60 ± 0.14 km along both the central sector (segments 9–24) and the western edge of the ice shelf (segments 27–31).
In contrast to Getz Ice Shelf, the GL west of 135∘ W, which fringes Hull and Land Glaciers and the ice streams draining into Nickerson Ice Shelf, underwent more limited or negligible migration between 2003 and 2015, with maximum retreat occurring across Land Glacier (0.54 ± 0.14 km; Segment 45 in Data Set S2). Farther west, with the exception of minor retreat near Scambos Glacier (0.22 ± 0.14 km; Segment 83 in Data Set S2), no GL migration took place along the entire perimeter of Sulzberger Ice Shelf, nor throughout the neighbouring Swinbourne Ice Shelf or Bartlett Inlet regions (Fig. 1).
Collectively, our observations highlight the tendency for GL retreat to be clustered around areas of deeply bedded ice (Fig. 1), which correspond to regions of recent moderate-to-fast ice flow inland of the GL (> 500 m yr−1; cf. Rignot et al., 2011). Furthermore, partitioning our GL observations into change over the ICESat versus CryoSat-2 campaign periods, we detect several notable patterns of GL migration with respect to ice-sheet altimetry observations. These findings are discussed next.
3.2 Glaciological change 2003–2008 (ICESat era)
Between 2003 and 2008, GL retreat along Getz Ice Shelf emulated the spatial pattern observed over the longer timeframe of 2003–2015 (Figs. 1 and 2a). Over the ICESat era, Getz Ice Shelf also hosted the largest GL retreat rates (Fig. 2). Retreat rates along the central and western sectors of Getz Ice Shelf ranged from 34 ± 30 (Segment 16; Data set S2) to 319 ± 30 and 192 ± 30 m yr−1 on Scott Peninsula and near Berry Glacier, respectively (Segments 9, 30). Over the same period, no GL migration occurred across the eastern sector of Getz Ice Shelf (“East”, inset of Figs. 1 and 2).
The GL retreat observed along the central-western Getz Ice Shelf was also associated with ice surface lowering of up to 120 km inland of the 2008 grounding zone (Fig. 2a). Simultaneously, the ice shelf thinned at an average of 1.76 ± 0.40 m yr−1 (Fig. 3a), where maximum thinning of 3.8 ± 0.40 m yr−1 was focused across the central sector between Scott Peninsula and Carney Island (Fig. 3b), i.e. encompassing the locations at which some of the largest GL retreat rates had occurred. Nevertheless, not all instances of GL retreat over the ICESat era were associated with the locations of highest thinning along Getz Ice Shelf; for example, GL retreat of up to 110 ± 30 m yr−1 occurred near Dean Island (“D” on Fig. 3b; Segments 21–23; Data Set S2), where ice-shelf thinning was relatively more limited in magnitude (∼ 1–1.8 ± 0.40 m yr−1).
West of 135∘, almost no GL retreat was observed over the ICESat era outwith Landsat/ASTER 1σ-error bounds (Fig. 2a). In conjunction, ice-surface lowering was less pronounced than along Getz Ice Shelf (Fig. 2a), with negligible overall change in corresponding ice-shelf thinning rates across Nickerson, Sulzberger and Swinbourne Ice Shelves (not shown).
3.3 Glaciological change 2010–2015 (CryoSat-2 era)
During 2010–2015, GL retreat continued to occur along Getz Ice Shelf, but on average 68 % slower than in 2003–2008 (Fig. 2b). This reduction in GL retreat was evident even in the central sector of Getz Ice Shelf, where we detect the most rapid GL retreat during this timeframe (Fig. 2b; max. 98 ± 30 m yr−1; Segment 19, Data set S2). In addition, a minor segment of the central Getz Ice Shelf GL underwent limited advance (33 ± 30 m yr−1; Segment 15, Data set S2), in conjunction with more minor or negligible GL retreat across both Scott Peninsula and throughout the western sector of the ice shelf (Fig. 2b).
Inland, the ice surface continued to lower (Fig. 2b) as it had done over the previous (ICESat) era (Fig. 2a), with the greatest lowering of grounded ice having occurred upstream of the central and western sectors of the ice shelf. The most notable contrast in Δh∕Δt between the two eras was an enhanced thinning signal up to ∼ 50 km inland of the 2015 GL along the central Getz Ice Shelf between Scott Peninsula and Siple Island, and at and near De Vicq and Berry Glaciers, where thinning rates intensified and propagated up to 82 km inland (Figs. 2b and S2). Over the same period, with the exception of a slowdown in cumulative thickness change between 2011 and 2013, Getz Ice Shelf thinned at an average rate of 1.51 ± 0.30 m yr−1, not significantly different to the rate over the ICESat era (1.76 ± 0.40 m yr−1), nor the longer-term (1994–2012) radar altimetry-based record (∼ 1.60 ± 0.30 m yr−1; Fig. 3a; Paolo et al., 2015, their Table S2). At the local scale, along a large proportion of the central Getz Ice Shelf and west of Dean Island (western Getz Ice Shelf), there was a localized slowdown in ice-shelf thinning (≥ 4.00 ± 0.30 m yr−1) corresponding to the observed locations of slowdown in GL retreat rate (Figs. 3b, c and S3). A few locations experienced a localized increase in ice-shelf thinning, e.g. west of Berry Glacier, where we observe a reduction in GL retreat, and downstream of De Vicq Glacier, where no GL change information could be recovered from our optical mapping technique (cf. Sect. 2.1.1).
Across the remainder of the MBLS, including the eastern Getz Ice Shelf and the region west of 135∘ W, we detect negligible GL change between 2010 and 2015, apart from localized retreat at Land Glacier (86 ± 30 m yr−1; Fig. 2b; Segment 45 in Data set S2). With the exception of Hull and Land Glaciers and near Swinbourne Ice Shelf, where surface elevation change rates increased inland of the GL (Figs. 2a, b and S2), these areas exhibited no significant change in the pace of ice surface lowering (Figs. 2b and S2) or ice-shelf thinning (not shown) relative to the earlier ICESat era.
3.4 Ice–atmosphere–ocean interactions: zonal wind and Ekman vertical velocity
Figure 4 displays annually averaged 10 m zonal wind (U) and Ekman vertical velocity (wE) anomalies offshore of the MBLS (114 to 157∘ W). We detect a significant positive (westerly) anomaly in U along the CSB of the MBLS during most of the ICESat era (2003 to 2008, inclusive; Fig. 4a), the peak magnitude of which was unprecedented within the ERA-Interim data record (max. MBLS U=1.15 m s−1; 2005). This phenomenon is echoed in the wE record (Fig. 4b), which reveals a predominant net upwelling during this epoch (max. wE = 2.94 m yr−1; 2006). As for U, this wE anomaly was also exceptional in the ERA-Interim record, although similar peaks were subsequently recorded in 2009 and 2015. Conversely, for most of the CryoSat-2 era (2010 to 2013, inclusive), U was predominantly negative (easterly), with averaged zonal wind reaching record negative values during 2012 (min. m s−1). This wind anomaly was associated with an overall marked reduction in the tendency for upwelling to occur across MBLS from ca. 2008/2009, with minimum upwelling (wE = −3.34 m yr−1) rates also recorded in 2012. Following 2013, U tended back towards zero, becoming positive (westerly) from 2014 onwards, and this was responsible for the significant upwelling event observed in 2015 (max. wE = 3.21 m yr−1).
Differences in the spatial distribution of wE for January 2010 to December 2013 (inclusive) minus January 2003 to January 2008 (inclusive) relative to the long-term ERA-Interim record are plotted in Fig. 5c. Comprising of persistently easterly U anomalies prior to 2014 (Fig. 4a), this epoch was characterized by a much reduced wE throughout the MBLS relative to 2003–2008 (Fig. 5a, b). Predominantly centred at ∼ 140–145∘ W, which ranges spatially between Sulzberger Ice Shelf and the western edge of Getz Ice Shelf, additional, strongly negative Ekman vertical velocities were also present along the eastern edge and much of the central Getz Ice Shelf during this epoch (Fig. 5c). Over the same period, a notable reduction in wE near ∼ 115∘ W, 70∘ S also occurred.
In summary, the ERA-Interim observational record shows the predominance of Ekman upwelling during the ICESat era (2003–2008), forced by the strongest westerly wind anomaly in the record, followed by a tendency for reduced Ekman upwelling associated with an easterly wind anomaly during most of the CryoSat-2 era (2010–2015).
Our observations have highlighted that over a 12-year period there has been considerable spatial and temporal variability in the nature and pace of GL migration throughout the MBLS (Figs. 1 and 2). In the following sections, we examine the potential drivers of these phenomena, with respect to regionally contrasting ice, ocean, atmosphere, and other potential interactions at work across the MBLS. To support our discussion we make reference to a conceptual model presented in Fig. 6.
4.1 Getz Ice Shelf grounding-line change 2003–2015
The most prominent GL retreat throughout the MBLS occurred along the ∼ 650 km Getz Ice Shelf (Fig. 1; Sect. 3.1), which neighbours the recent, rapidly downwasting ice-masses of the wider Amundsen Sea Sector. This was a likely consequence of the substantial thinning and basal melting witnessed over this region in recent decades, indicative of an ongoing dynamically driven glaciological imbalance through time (Figs. 2 and 3; see also Pritchard et al., 2009, 2012; Jacobs et al., 2013; Paolo et al., 2015). Indeed, all GL retreat within the central and western sectors of Getz Ice Shelf occurred directly upstream of well-surveyed, deep (> 400 m) bathymetric depressions north of the ice fronts (Fig. 1), which transect the continental shelf and route warm modified-CDW from the CSB to the sub-ice shelf cavity (Wåhlin et al., 2010; Arneborg et al., 2012; Jacobs et al., 2013; see also our Fig. 6a). Aping the offshore geological setting of the Bellingshausen and eastern Amundsen Sea Sectors, where recent glaciological change is believed to have been facilitated by CDW ingress along similar cross-continental-shelf conduits (Nitsche et al., 2007; Walker et al., 2007; Bingham et al., 2012; Pritchard et al., 2012; St-Laurent et al., 2013; Zhang et al., 2016), these observations are strongly suggestive of ocean-forced glaciological change at work across the central-western Getz Ice Shelf and its inland basins between at least 2003 and 2015.
Along the eastern sector of the ice shelf, where we detect almost no GL migration between 2003 and 2015 (See Sect. 3.1. and 3.2.; Fig. 1), ice-flow velocities (Rignot et al., 2011; Gardner et al., 2018) and ice-thinning rates (Figs. 2 and 3) were more limited relative to the remainder of the ice shelf. This is despite the proximity of the deep Getz-Dotson Trough to the eastern sector's ice front (Fig. 1). Collectively, these observations imply that local-scale ice–ocean processes or geological configurations underneath the most easterly portion of Getz Ice Shelf may render the region relatively immune to ocean-forced dynamic thinning and subsequent GL retreat. These considerations are discussed in further detail next (Sect. 4.2).
4.2 Controls on Getz Ice Shelf grounding-line dynamics
4.2.1 Atmosphere–ocean forcing
That GL retreat slowed down consistently along the length of the (∼ 650 km long) central-western Getz Ice Shelf in the CryoSat-2 era relative to the ICESat era (Figs. 2 and S3; Sect. 3.3) is indicative of regional-scale external forcing, primarily with respect to the intensity of atmosphere–ocean forcing of Getz Ice Shelf through time. Indeed, the changes in 10 m zonal wind, U (Fig. 4a), and Ekman vertical velocity, wE (Fig. 4b), suggest that the 2010–2015 era was characterized by a predominantly easterly wind anomaly over the MBLS CSB (Sect. 3.4), in conjunction with an implied regional-scale reduction in CDW upwelling and flooding onto the continental shelf. These findings are consistent with our EN4-derived observations of overall subsurface cooling near Getz Ice Shelf during 2010–2015 (Fig. 4c), and with similar, synchronous ocean-atmosphere trends observed over the wider Amundsen Sea Sector since 2009 that were responsible for a much deepened CDW layer across this region relative to the ICESat era (cf. Wåhlin et al., 2010; Jacobs et al., 2013; Dutrieux et al., 2014; Webber et al., 2017). Dutrieux et al. (2014; following Steig et al., 2012) attributed this behaviour to inter-decadal variability in tropical-pacific ENSO forcing and so, by extension, Getz Ice Shelf and the wider MBLS also appear responsive to inter-decadal variability in global-scale atmospheric forcing. This hypothesis concurs with the recent findings of Paolo et al. (2018) who examined the response of ENSO variability on all Pacific-facing ice shelves over the radar altimetry record (1994–2017), as well as the earlier findings of Jacobs et al. (2013), who attributed a reduced thermocline and glaciological forcing along Getz Ice Shelf in the years preceding the ICESat era to a strong La Niña event ca. 2000.
Locally, the significant negative difference in wE near the eastern Getz Ice Shelf is also notable (Fig. 5c). Widespread along the eastern and parts of the central Getz coast between 2010 and 2014, this anomaly was prevalent across the deeply bedded coastal tributaries of the Getz-Dotson Trough (Fig. 1), which act as the primary CDW ingress pathways to the eastern and central sectors of the Getz Ice Shelf (Wåhlin et al., 2010; Arneborg et al., 2012; Jacobs et al., 2013). Likely related to changes in the spatial extent of the Amundsen Sea Polynya since 2003–2008 (cf. Nihashi and Ohshima, 2015, 2017; Kim et al., 2017), we hypothesize that the net reduced upwelling inferred to have occurred at this coastal location, consistent with a much deepened isopycnal depth over the trough's tributaries, may have been responsible for an additional, locally forced reduction in central and eastern Getz-bound CDW inflow during 2010–2015. Echoed in our EN4 observations of near-shore potential temperature change (Fig. 4c), such a reduction, together with observations of deeply reduced wE along much of the remaining Getz Ice Shelf and wider MBLS between 2010 and 2014 (Figs. 5c), may explain the overall, central-western Getz-wide reduction in GL retreat relative to the 2003–2008 (ICESat) era, and may have simultaneously bolstered the eastern ice shelf's overall immunity to pervasive ocean-forced GL retreat (Figs. 1 and 2). Similar local-scale processes are believed to have governed the magnitude of change at Pine Island Glacier in recent years, where a dramatic reduction in basal melt rate and other glaciological change was observed between 2011 and 2013 (Dutrieux et al., 2014; Mouginot et al., 2014; St. Laurent et al., 2016; Webber et al., 2017). Over the same timeframe, where we detect minimum U and wE across the MBLS (Figs. 4a and b; Sect. 3.4), such processes may also have induced the temporary hiatus in shelf-averaged thickness change witnessed between 2011 and 2013, where mean Getz Ice Shelf thinning rates appear to have abated contrary to the longer-term CryoSat-2 trend (Fig. 3a; also Sect. 3.3).
Our findings underscore the potential importance of inter-decadal variability in both regional- and local-scale atmosphere and ocean interactions in moderating glaciological change along this sector of Antarctica (Fig. 6). Our observations also highlight the need for continuous in situ ocean observations near and underneath Getz Ice Shelf in the future. Such observations would yield greater insight into the specific oceanographic mechanisms controlling the hydrography of Getz Ice Shelf's sub-shelf cavity (cf. Jacobs et al., 2013; Kim et al, 2017; Webber et al., 2017), beyond the approximations presented here and spatially and temporally limited observations previously reported (e.g. Wåhlin et al., 2010; Jacobs et al., 2013). However, whilst an apparent correlation exists between Getz Ice Shelf GL retreat rate and inter-decadal variability in atmosphere–ocean forcing (cf. Sects. 3.4 and 4.2.1), observations of generally unabated CryoSat-2 shelf-averaged thinning rates relative to earlier records (Fig. 3a; Pritchard et al., 2012; Paolo et al., 2015) suggest that additional processes may have facilitated the observed slowdown in 2010–2015 GL retreat along parts of ice shelf. That is, such temporally sustained ice-shelf thinning (Fig. 3a) would be expected to augment progressive GL retreat over time (cf. Schoof, 2007), contrary to the observed GL-retreat slowdown. Possible confounding factors are surface mass balance processes, grounding zone bed geometry, and local-scale changes in ice dynamics.
4.2.2 Surface mass balance processes
Temporal changes in surface mass balance must be accounted for in order to resolve the relative influence of surface- and/or dynamically induced (i.e. ocean-forced) processes controlling surface elevation change (see Pritchard et al., 2012; Helm et al., 2014; Wouters et al., 2015 for further discussion). For example, marked inter-annual variability in surface accumulation was believed to have played a leading role in driving the enhanced surface lowering witnessed over the Southern Antarctic Peninsula in recent years (cf. Helm et al., 2014; following Thomas et al., 2008).
Near Getz Ice Shelf, where several studies have highlighted trends of increased ice mass loss in recent years (e.g. McMillan et al., 2014; Gardner et al., 2018), negative trends in surface mass balance have recently been documented inland of the GL (up to 0.80 m yr−1 between 2006 and 2015; Chuter et al., 2017; see also their Fig. S4). However, whilst negative surface mass balance is believed to have controlled a large proportion of ice loss over grounded ice in the MBLS (Chuter et al., 2017), we note that such decreases are insufficient to explain the pronounced ice-shelf thinning and basal melting rates observed seaward of the GL over the ICESat (Fig. 3a; Depoorter et al., 2013; Jacobs et al., 2013) and CryoSat-2 (Sect. 3.3 and Fig. 3a) eras. Moreover, recent modelled estimates over Getz Ice Shelf reveal only minor temporal changes in surface mass balance trend (Lenaerts et al., 2016), with 2010–2015 annual mean rates of surface mass balance (0.8 m w.e. yr−1; Fig. S4) not significantly different to the long term (1979–2015) average (∼ 0.8–1.0 m w.e. yr−1; cf. Lenaerts et al., 2017; their Fig. 7). By implication, surface mass balance changes are thus unlikely to have played a significant role in controlling the progressive thinning of Getz Ice Shelf over the CryoSat-2 era (Fig. 3a), or the observed slowdown in GL retreat rate (Figs. 2a, b and S3).
4.2.3 Grounding zone bed geometry
Bed conditions at the grounding zone of Getz Ice Shelf are poorly constrained, and are predominantly interpolated from a limited number of Operation IceBridge radar depth-sounding data and other lower-resolution geophysical data sets (Fretwell et al., 2013). Nonetheless, we note that upstream of the 2008 GL position, the inclination of surface and bed slopes along a large proportion of the Getz Ice Shelf, as inferred from Bedmap2 (Fretwell et al., 2013) and optical satellite imagery (Data Set S1), become increasingly prograde and undulating, which may act to inhibit GL retreat. That is, the potentially rough and shoaling topography upstream of the 2008 GL may require prolonged, continuously high, or increased rates of thinning to permit GL retreat – a process that has been modelled across both idealized and physically constrained grounding zone geometries over other parts of West Antarctica (cf. Schoof et al., 2007; Durand et al., 2011; Parizek et al., 2013; Nias et al., 2016). Until more comprehensive knowledge of Getz Ice Shelf's grounding zone bed structure exists, glacier/ice-stream-specific internal variability, moderated by bed conditions at the 2010–2015 grounding zone, cannot be reliably dismissed as an additional control on the slowdown of GL retreat rate during the CryoSat-2 era. Increased geophysical survey of the entire grounding zone is thus an important scientific objective towards more accurately assessing the future evolution of Getz Ice Shelf GL migration and glaciological stability in the coming decades.
4.2.4 Changes in ice dynamics
Changes in ice dynamics, potentially correlated to differences in subglacial bed conditions (cf. Sect. 4.2.3), may also have played an important role in influencing GL retreat slowdown along Getz Ice Shelf during the observational period. Gardner et al. (2018) have presented changes to ice surface velocities across this region between ca. 2007/2008 and 2015. There is strong correspondence along the Getz Ice Shelf margin between the locations where we have observed GL slowdown or speedup (Figs. 2 and S3) with those where Gardner et al. (2018) documented ice velocity slowdown or speedup over the same time interval. Locations of ice-velocity speedup are localized along the coastline but represent the major contributors to a recorded 6 % increase in ice-mass discharge across the MBLS (Gardner et al., 2018). These locations, including the fast-flowing Berry and De Vicq Glaciers (Figs. 1 and 2), are likely outlets of thick ice (cf. Jacobs et al., 2013) characterized by a transition towards dynamically unstable glaciological change that is now divorced from atmosphere–ocean forcing. Everywhere else along the central-western Getz Ice Shelf GL, the ice flow remained constant or decelerated (Gardner et al., 2018; their Fig. 8, panel 20), which is consistent with the ice-shelf-wide reduction in atmosphere–ocean forcing noted in Sect. 4.2.1.
4.3 Grounding-line change and its controls west of Getz Ice Shelf
Along the coastline between Getz and Ross Ice Shelves, encompassing the GL along Nickerson and Sulzberger Ice Shelves, GL migration was negligible or exhibited lower retreat than along Getz Ice Shelf between 2003 and 2015 (Fig. 1; Sect. 3.1). In addition, ice-surface lowering along the majority of this coastline was negligible over the observation window (Fig. 2).
One explanation for the muted GL response west of Getz Ice Shelf may be provided by the region's underlying geology. Along this coastline prominent mountains, likely to be of volcanic origin (Fretwell et al., 2013; Van Wyk de Vries et al., 2017), rise steeply immediately inland of the grounding zone, providing a possible regional topographic barrier to pervasive GL retreat and dynamic thinning. The few locations of notable GL retreat west of Getz Ice Shelf, for example at Land and Scambos Glaciers (Fig. 1), may be attributed to breaches of this coastal topographic barrier. These locations reside immediately upstream of deep (> 500 m), well-surveyed subglacial depressions which extend to within close proximity of the continental-shelf margin (Figs. 1 and S5; Arndt et al., 2013), and which likely represent the routeways of warm-based, fast-flowing ice-streams during glacial maximum conditions (Ó Cofaigh et al., 2005; Nitsche et al., 2016).
Another inhibitor of GL change west of 135∘ W may derive from regional contrasts in the structure of the continental shelf seaward of Getz Ice Shelf versus farther west. In neighbouring regions of West Antarctica, continental shelves fronted by shallower shelf slopes and bisected by multiple troughs are critical for permitting sustained upwelling, ingress and shoreward transportation of CDW towards the GL (e.g. Bellingshausen Sea Sector, Ó Cofaigh et al., 2005; Graham et al., 2011; Bingham et al., 2012, Amundsen Sea Sector including Getz-Dotson Trough, Walker et al., 2007; Wåhlin et al. 2010). By contrast, the continental shelf west of 135∘ W is characterized by a shallower seafloor fronted by a steeper continental shelf slope, and the general absence of significant, shelf-bisecting troughs that breach the CSB (Figs. 1 and S5). Indeed, from in situ measurements Jacobs et al. (2013) recovered only intermittent CDW presence along the length of the CSB west of 135∘ W, while Schmidtko et al. (2014) showed that rates of long-term CDW shoaling across the same region were more restricted compared with the Amundsen and Bellingshausen Sea Sectors. Recent work utilizing an ocean eddy-resolving model, parameterized to account for the effects of variable continental-shelf geometry on CDW ingress, has also underscored that reduced CDW transport onto the continental shelf can be attributed to steep continental slope bathymetry in conjunction with a more pronounced Antarctic Slope Front over the CSB (Stewart and Thomson, 2015; their Fig. 2d). The Antarctic Slope Front acts to separate fresh continental-shelf surface waters from offshore CDW sources (Jacobs, 1991; Baines, 2009; Stewart and Thomson, 2015, their Figs. 1b and 2d). Together, these findings suggest that the strength of the Antarctic Slope Front may be critical to the vulnerability of the MBLS to CDW-induced GL retreat and dynamic instability (Fig. 6). Notably, Whitworth et al. (1998) traced the beginnings of a steeper Antarctic Slope Front extending westward from 120∘ W, while Lee and Coward (2003; cf. Thompson, 2008) independently inferred a transition to a steeper Antarctic Slope Front from modelled ocean surface current velocities at ∼ 125–135∘ W. These longitudinal limits correspond broadly with the contrasting GL behaviours we have observed along and west of Getz Ice Shelf (Figs. 1 and 2).
It is important to note that the strength of the Antarctic Slope Front co-exists with, and is speculated to be influenced by, the positioning of the Antarctic Circumpolar Current (hereafter ACC) (Walker et al., 2013). The ACC drives circumpolar westerly ocean circulation and ultimately influences the upwelling and delivery of CDW from the deep ocean towards the continental shelf (Orsi et al., 1995). Across the MBLS, we note that the steepening of the Antarctic Slope Front at ∼ 135∘ W strongly aligns with a marked northward deflection of the ACC from the continental-shelf slope limits at ∼ 130–135∘ W. Influenced by the position of the Ross Gyre (Assmann and Timmerman, 2005; Dotto et al., 2018), this ACC behaviour persists from here to the western limits of the Ross Sea at ∼ 150∘ E (Fig. S6; cf. Orsi et al., 1995), and likely partly explains the limited presence of CDW west of 135∘ W (cf. Jacobs et al., 2013; see also our Fig. 6b). In contrast, east of 135∘ W, the ACC more closely follows the shallower continental-shelf slope margins adjacent to the Getz Ice Shelf and Amundsen and Bellingshausen Sectors (Fig. S6), contributing to the previously documented presence of on-shelf CDW across these regions (Holland et al., 2010; Jacobs et al., 2013; Zhang et al., 2016) and, most likely, the observed patterns of ocean-driven GL retreat and sustained thinning throughout the Getz Ice Shelf between 2003 and 2015 (Fig. 6a).
Finally, we acknowledge that the large meltwater fluxes originating from the Amundsen Sea Sector (Jacobs et al., 2013; Rignot et al., 2013; Depoorter et al., 2013) may also play an important role in moderating ice–ocean interactions west of 135∘ W. A recent modelling study suggests that up to one third of the total meltwater derived from the Amundsen Sea Sector is transported towards the Ross Sea (Nakayama et al., 2014). Within this trend, up to 50 % of the total meltwater content delivered to the Ross Sea originates from Getz Ice Shelf via a pronounced easterly coastal current, and Ross-Sea-bound meltwater-transportation pathways flood the entire width of the continental shelf west of 135∘ W (Nakayama et al., 2014; their Figs. 2b and 3c). This implies that the high volumes of meltwater originating from Getz Ice Shelf in recent years (Rignot et al., 2013), even during steady-state conditions, may be sufficient to result in the enhanced modification of on-shelf CDW across this region of the MBLS. Hypothesized to become exacerbated by future increases in dynamic basal melting of Amundsen Sea ice shelves (Nakayama et al., 2014), this process may continue to limit CDW access to the sub-shelf cavity in the coming decades, and partly explain our observations of near-negligible GL retreat and thinning rates between 2003 and 2015.
Medium-resolution optical satellite imagery shows that ∼ 33 % of the Marie Byrd Land coastline, feeding the western Amundsen Sea and eastern Ross Sea, West Antarctica, experienced grounding line retreat between 2003 and 2015. Since 2003, the grounding line has retreated pervasively along Getz Ice Shelf, but farther west has remained predominantly stable. Between 2003 and 2008 (ICESat era), the grounding line retreated more rapidly along the Getz Ice Shelf margin than between 2010 and 2015 (CryoSat-2 era), consistent with contemporaneous trends of reduced ice-shelf thinning rates through time as inferred from ICESat and CryoSat-2 altimetry data.
We find a correspondence between the observed slowdown in Getz Ice Shelf's grounding-line retreat and a reduction in external atmosphere–ocean forcing as inferred from climate reanalysis and ocean objective analysis data sets. During the CryoSat-2 era, weaker offshore winds relative to the ICESat era reduced Ekman upwelling on and around the continental shelf, resulting in a likely decline in Circumpolar Deep Water intrusion to the sub-Getz ice-shelf cavity. This is analogous to observed changes elsewhere in the Amundsen Sea Sector since 2009 (Dutrieux et al., 2014, following Steig et al., 2012; Turner et al., 2017), and is supported by empirically constrained trends of oceanographic change observed near Getz Ice Shelf's calving fronts in the years immediately preceding the ICESat era (Jacobs et al., 2013). However, at the local scale, grounding zone bed geometry, which is poorly constrained along much of Getz Ice Shelf, may have also played a role in modulating retreat rates. Additional near-shore ocean processes, such as eddy-mediated transport of CDW across the shelf break (Stewart and Thompson, 2015), seasonal variations in on-shelf heat transport linked to local-scale atmospheric forcing (Webber et al., 2017) and the influence of sea ice on Ekman vertical velocities (Kim et al., 2017), may also have contributed to the observed reduction in GL retreat.
We ascribe the relative glaciological stability of the Marie Byrd Land margin west of Getz Ice Shelf, encompassing Nickerson and Sulzberger Ice Shelves, to a divergence of the Antarctic Circumpolar Current from the continental-shelf break at ∼ 130–135∘ W. At this longitude, the Antarctic Slope Front also intensifies in conjunction with a steepening of the continental-shelf slope and a shallowing of the continental-shelf floor. In consequence, much of the Antarctic margin between Getz and Ross Ice Shelves is buffered from the atmosphere–ocean-driven forcing that has been observed farther west. Ocean modelling experiments suggest that this phenomenon may be further supplemented by on-shelf flooding of basal meltwater originating from the neighbouring Amundsen Sea Sector, including Getz Ice Shelf.
Collectively, our findings from the Marie Byrd Land Sector underscore the importance of both spatial and inter-decadal variability in ocean and atmosphere interactions for moderating glaciological change around Antarctica. To assess the importance of these interactions, increased spatial-temporal oceanographical observations and high-resolution geophysical measurements of the MBLS' geological setting are required.
All GL, ice frontal position and MBLS ice-mask data sets derived from this study are available at https://doi.org/10.1594/PANGAEA.884782 (Christie et al., 2018). Landsat data used in this study are available from the USGS/NASA at https://earthexplorer.usgs.gov/ (last access: 19 July 2018), Cryosat-2 data are available from the European Space Agency, and ERA-Interim data are available from the European Centre for Medium-Range Weather Forecasts (ECMWF) at https://www.ecmwf.int/en/research/climate-reanalysis/era-interim (last access: 19 July 2018). Met Office EN4 objective analysis products are available at https://www.metoffice.gov.uk/hadobs/en4/ (last access: 19 July 2018). Supplement data supporting the results of this paper are available in the accompanying Supplement.
The supplement related to this article is available online at: https://doi.org/10.5194/tc-12-2461-2018-supplement.
FDWC designed the study, performed all analyses, and wrote the paper under the guidance of RGB. FDWC developed the optically derived GL detection technique and carried out GL change analysis with the assistance of RRB. NG generated the CryoSat-2 surface elevation change (Δh∕Δt) data. EJS gave guidance/support to FDWC in sourcing, deriving and interpreting the ERA-Interim datasets presented in this study. HDP provided the ICESat altimetry data; and KS and SFBT added significant value to the discussion on ice–ocean–atmosphere interactions around West Antarctica, via several in-depth discussions with FDWC.
The authors declare that they have no conflict of interest.
Frazer Christie was funded by a Carnegie Trust for the Universities of Scotland
Carnegie PhD Scholarship with Robert Bingham, hosted in the Edinburgh E3 U.K.
Natural Environment Research Council Doctoral Training Partnership
(NE/L002558/1) and the Scottish Alliance for Geoscience, Environment and
Society (SAGES) Graduate School. Frazer Christie was also funded through the support of
a Trans-Antarctic Association Small Grant (TAA17-01) and a SAGES
Post-doctoral Early Career Research Exchange (PECRE) award which he used to
visit Eric Steig at the University of Washington's Department of Earth and Space
Sciences. Noel Gourmelen was funded under the European Space Agency's Support To Science
Element CryoTop 4000107394/12/I-NB and CryoTop evolution 4000116874/16/I-NB
studies. The authors also wish to thank Fernando Paolo and Helen Fricker for kindly
sharing the ERS-1/2 and ENVISAT altimetry data used to generate Fig. 3a; Jan Lenaerts, Stefan Ligtenberg and Willem Jan van de Berg for sharing their RACMO2 and
IMAU-FDM models used in the CryoSat-2 Δh∕Δt processing
chain, and Joshua Williams and Stijn Pinson for their assistance in deriving
Landsat 8 velocity fields over the MBLS. The authors also thank the editor
and three anonymous reviewers for their insightful comments
which improved the manuscript.
Edited by: Bert Wouters
Reviewed by: three anonymous referees
Anandakrishnan, S., Voigt, D. E., Alley R. B., and King, M. A.: Ice Stream D flow speed is strongly modulated by the tide beneath the Ross Ice Shelf, Geophys. Res. Lett., 30, 1361, https://doi.org/10.1029/2002GL016329, 2003.
Arneborg, L., Wåhlin, A. K., Björk, G., Liljebladh, B., and Orsi, A. H.: Persistent inflow of warm water onto the central Amundsen shelf, Nat. Geosci., 5, 876–880, https://doi.org/10.1038/NGEO1644, 2012.
Arndt, J. E., Schenke, H. W., Jakobsson M., Nitsche, F. O., Buys, G., Goleby, B., Rebesco, M., Bohoyo, F., Hong, J., Black, J., Greku, R., Udintsev, G., Barrios, F., Reynoso-Peralta, W., Taisei, M., and Wigley, R.: The International Bathymetric Chart of the Southern Ocean (IBCSO) Version 1.0 – A new bathymetric compilation covering circum – Antarctic waters, Geophys. Res. Lett., 40, 3111–3117, https://doi.org/10.1002/grl.50413, 2013.
Asay-Davis, X. S., Jourdain, N. C., and Nakayama, Y.: Developments in simulating and parameterizing interactions between the Southern Ocean and the Antarctic Ice Sheet, Curr. Clim. Change Rep., 3, 316–329, https://doi.org/10.1007/s40641-017-0071-0, 2017.
Assman, K. M. and Timmerman, R.: Variability of dense water formation in the Ross Sea, Ocean Dyn., 55, 68–87, https://doi.org/10.1007/s10236-004-0106-7, 2005.
Baines, P. G.: A model for the structure of the Antarctic Slope Front, Deep-Sea Res. Pt II., 56, 859–873, https://doi.org/10.1016/j.dsr2.2008.10.030, 2009.
Bindschadler, R., Choi, H., Wichlacz, A., Bingham, R., Bohlander, J., Brunt, K., Corr, H., Drews, R., Fricker, H., Hall, M., Hindmarsh, R., Kohler, J., Padman, L., Rack, W., Rotschky, G., Urbini, S., Vornberger, P., and Young, N.: Getting around Antarctica: new high-resolution mappings of the grounded and freely-floating boundaries of the Antarctic ice sheet created for the International Polar Year, The Cryosphere, 5, 569–588, https://doi.org/10.5194/tc-5-569-2011, 2011.
Bingham, R. G., Ferraccioli, F., King, E. C., Larter, R. D., Pritchard, H. D., Smith, A. M., and Vaughan, D. G.: Inland thinning of West Antarctic Ice Sheet steered along subglacial rifts, Nature, 487, 468–471, https://doi.org/10.1038/nature11292, 2012.
Brunt, K., Fricker, H. A., Padman, L., Scambos, T., and O'Neel, S.: Mapping the grounding zone of the Ross Ice Shelf, Antarctica, using ICESat laser altimetry, Ann. Glaciol., 51, 71–79, https://doi.org/10.3189/172756410791392790, 2010.
Brunt, K. M., Fricker, H. A., and Padman, L.: Analysis of ice plains of the Filchner-Ronne Ice Shelf, Antarctica, using ICESat laser altimetry, J. Glaciol., 57, 965–975, 2011.
Christie, F. D. W., Bingham, R. G., Gourmelen, N., Tett, S. F. B., and Muto, A.: Four-decade record of pervasive grounding line retreat along the Bellingshausen margin of West Antarctica, Geophys. Res. Lett., 43, 5741–5749, https://doi.org/10.1002/2016GL068972, 2016.
Christie, F. D. W., Bingham, R. G., and Bisset, R. R.: Grounding line, ice frontal position and coastal ice masks for the Marie Byrd Land Sector of West Antarctica, 2003–2015, PANGAEA, available at: https://doi.org/10.1594/PANGAEA.884782, 2018.
Chuter, S. J., Martin-Esañol, A., Wouters, B., and Bamber, J. L.: Mass balance reassessment of glaciers draining into the Abbot and Getz Ice Shelves of West Antarctica, Geophys. Res. Lett., 44, 7328–7337, https://doi.org/10.1002/2017GL073087, 2017.
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. R. Meteorol. Soc., 137, 553–597, https://doi.org/10.1002/qj.828, 2011.
Dehecq, A., Gourmelen, N., and Trouveì, E.: Deriving large-scale glacier velocities from a complete satellite archive: Application to the Pamir-Karakoram-Himalaya, Remote Sens. Environ., 162, 55–66, https://doi.org/10.1016/j.rse.2015.01.031, 2015.
Depoorter, M. A., Bamber, J. L., Griggs, J. A., Lenaerts, J. T. M., Ligtenberg, S. R. M., van den Broeke, M. R., and Moholdt, G.: Calving fluxes and basal melt rates of Antarctic ice shelves, Nature, 502, 89–92, https://doi.org/10.1038/nature12567, 2013.
Dotto, T. S., Garabato, A. N., Bacon, S., Tsamados, M., Holland P. R., Hooley, J., Frajka-Williams, E., Ridout, A., and Meredith, M. P.: Variability of the Ross Gyre, Southern Ocean: drivers and responses revealed by satellite altimetry, Geophys. Res. Lett., 45, 6195–6204, https://doi.org/10.1029/2018GL078607, 2018.
Durand, G., Gagliardini, O., Favier, L., Zwinger, T., and le Meur, E.: Impact of bedrock description on modeling ice sheet dynamics, Geophys. Res. Lett., 38, L20501, https://doi.org/10.1029/2011GL048892, 2011.
Dutrieux, P., Vaughan, D. G., Corr, H. F. J., Jenkins, A., Holland, P. R., Joughin, I., and Fleming, A. H.: Pine Island Glacier Ice Shelf melt distributed at kilometre scales, The Cryosphere, 7, 1543–1555, https://doi.org/10.5194/tc-7-1543-2013, 2013.
Dutrieux, P., De Rydt, J., Jenkins, A., Holland, P. R., Ha, H. K., Lee, S.H., Steig, E. J., Ding, Q., E. Abrahamsen, E. P., and Schröder, M.: Strong sensitivity of Pine Island Glacier melting to climatic variability, Science, 343, 174–178, https://doi.org/10.1126/science.1244341, 2014.
Foresta, L., Gourmelen, N., Pálsson, F., Nienow, P., Björnsson, H., and Shepherd, A.: Surface elevation change and mass balance of Icelandic ice caps derived from swath mode CryoSat-2 altimetry, Geophys. Res. Lett., 43, 138–12, 145, https://doi.org/10.1002/2016GL071485, 2016.
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.
Fricker, H. A. and Padman, L.: Ice shelf grounding zone structure from ICESat laser altimetry, Geophys. Res. Lett., 33, L15502, https://doi.org/10.1029/2006GL026907, 2006.
Fricker, H. A., Coleman, R., Padman, L., Scambos, T. A., Bohlander, J., and Brunt, K. M.: Mapping the grounding zone of the Amery Ice Shelf, East Antarctica using DInSAR, MODIS and ICESat, Antarct. Sci., 21, 515–532, https://doi.org/10.1017/S095410200999023X, 2009.
Gardner, A. S., Moholdt, G., Scambos, T., Fahnstock, M., Ligtenberg, S., van den Broeke, M., and Nilsson, J.: Increased West Antarctic and unchanged East Antarctic ice discharge over the last 7 years, The Cryosphere, 12, 521–547, https://doi.org/10.5194/tc-12-521-2018, 2018.
Good, S. A., Martin, M. J., and Rayner, N. A.: EN4: Quality controlled ocean temperature and salinity profiles and monthly objective analyses with uncertainty estimates, J. Geophys. Res.-Oceans, 118, 6704–6716, https://doi.org/10.1002/2013JC009067, 2013.
Gouretski, V. and Reseghetti, F.: On depth and temperature biases in bathythermograph data: development of a new correction scheme based on analysis of a global ocean database, Deep-Sea Res. Pt. I, 57, 812–833, https://doi.org/10.1016/j.dsr.2010.03.011, 2010.
Gourmelen, N., Goldberg, D., Snow, K., Henley, S., Bingham, R., Kimura, S., Hogg, A., Shepherd, A., Mouginot, J., Lenearts, J., Ligtenberg, S., and van de Berg, W.: Channelized melting drives thinning under a rapidly melting Antarctic ice shelf, Geophys. Res. Lett., 44, 9796–9804, https://doi.org/10.1002/2017GL074929, 2017a.
Gourmelen, N., Escorihuela, M., Shepherd, A., Foresta, L., Muir, A., Garcia-Mondejar, A., Roca, M., Baker, S., and Drinkwater, M. R.: CryoSat-2 swath interferometric altimetry for mapping ice elevation and elevation change, Adv. Space Res., https://doi.org/10.1016/j.asr.2017.11.014, 2017b.
Graham, A. G. C., Nitsche, F. O., and Larter, R. D.: An improved bathymetry compilation for the Bellingshausen Sea, Antarctica, to inform ice-sheet and ocean models, The Cryosphere, 5, 95–106, https://doi.org/10.5194/tc-5-95-2011, 2011.
Haran, T., Bohlander, J., Scambos, T., Painter, T., and Fahnestock, M.: MODIS Mosaic of Antarctica 2008–2009 (MOA2009) Image Map, digital media, National Snow Ice Data Center, Boulder, https://doi.org/10.7265/N5KP8037, 2014.
Helm, V., Humbert, A., and Miller, H.: Elevation and elevation change of Greenland and Antarctica derived from CryoSat-2, The Cryosphere, 8, 1539–1559, https://doi.org/10.5194/tc-8-1539-2014, 2014.
Holland, P. R., Jenkins, A., and Holland, D. M.: Ice and ocean processes in the Bellingshausen Sea, Antarctica, J. Geophys. Res., 115, C05020, https://doi.org/10.1029/2008JC005219, 2010.
Jacobs, S. S.: On the nature and significance of the Antarctic Slope Front, Mar. Chem., 35, 9–24, https://doi.org/10.1016/S0304-4203(09)90005-6, 1991.
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, https://doi.org/10.1038/NGEO1188, 2011.
Jacobs, S., Giulivi, C., Dutrieux, P., Rignot, E., Nitsche, F., and Mouginot, J.: Getz Ice Shelf melting response to changes in ocean forcing, J. Geophys. Res., 9, 4152–4168, https://doi.org/10.1002/jgrc.20298, 2013.
Jenkins, A., Dutrieux, P., Jacobs, S., Steig, E. J., Gudmundsson, G. H., Smith, J., and Heywood, K. J.: Decadal ocean forcing and Antarctic ice sheet response: Lessons from the Amundsen Sea, Oceanography, 29, 106–117, https://doi.org/10.5670/oceanog.2016.103, 2016.
Joughin, I., Shean, D. E., Smith, B. E., and Dutrieux, P.: Grounding line variability and subglacial lake drainage on Pine Island Glacier, Antarctica, Geophys. Res. Lett., 43, 9093–9102, https://doi.org/10.1002/2016GL070259, 2016.
Kim, T. W., Ha, H. K., Wåhlin, A. K., Lee, S. H., Kim, C. S., Lee, J. H., and Cho, Y. K.: Is Ekman pumping responsible for the seasonal variation of warm circumpolar deep water in the Amundsen Sea?, Cont. Shelf Res., 132, 38–48, https://doi.org/10.1017/CBO9781107415324.004, 2017.
Konrad, H., Gilbert, L., Cornford, S. L., Payne, A., Hogg, A., Muir, A., and Shepherd, A.: Uneven onset and pace of ice-dynamical imbalance in the Amundsen Sea Embayment, West Antarctica, Geophys. Res. Lett., 44, 910–918, https://doi.org/10.1002/2016GL070733, 2017.
Lee, M. M. and Coward, A. C.: Eddy mass transport for the Southern Ocean in an eddy-permitting global ocean model, Ocean Model., 5, 249–266, https://doi.org/10.1016/S1463-5003(02)00044-6, 2003.
Lenaerts, J. T. M., van den Broeke, M. R., van de Berg, W. J., van Meijgaard, E., and Kuipers Menneke, P.: A new, high-resolution surface mass balance map of Antarctica (1979–2010) based on regional atmospheric climate modelling, Geophys. Res. Lett., 39, GL050713, https://doi.org/10.1029/2011GL050713, 2012.
Lenaerts, J. T. M., Ligtenberg, S. R. M., Van De Berg, W. J., Van Den Broeke, M. R., and Medley, B.: Coastal climate of West Antarctica resolved by high-resolution climate modeling, The West Antarctic Ice Sheet Initiative 23rd Annual WAIS Workshop, Sterling, VA, USA, 3–6 October 2016, 271, 2016.
Lenaerts, J. T. M., Ligtenberg, S. R. M., Medley, B., Van De Berg, W. J., Konrad, H., Nicolas, J. P., Van Wessem, J. M., Trusel, L. D., Mulvaney, R., Tuckwell, R. J., Hogg, A. E., and Thomas, E. R.: Climate and surface mass balance of coastal West Antarctica resolved by regional climate modelling, Ann. Glaciol., https://doi.org/10.1017/aog.2017.42, 2017.
Ligtenberg, S. R. M., Helsen, M. M., and van den Broeke, M. R.: An improved semi-empirical model for the densification of Antarctic firn, The Cryosphere, 5, 809–819, https://doi.org/10.5194/tc-5-809-2011, 2011.
Marshall, J. and Plumb, R. A.: Atmosphere, Ocean and Climate Dynamics: An Introductory Text, 1st Edn., Volume 93, in: the International Geophysics Series, edited by: Dmowska, R., Hartmann, D., and Rossby, T., Elsevier, Burlington, California, London, 344 pp., 2008.
McGregor, S., Gupta, A. S., and England, M. E.: Constraining wind stress products with sea surface height observations and implications for Pacific Ocean sea level trend attribution, J. Clim., 25, 8164–9176, https://doi.org/10.1175/JCLI-D-12-00105.1, 2012.
McMillan, M., Shepherd, A., Sundal, A., Briggs, K., Muir, A., Ridout, A., Hogg, A., and Wingham, D.: Increased ice losses from Antarctica detected by CryoSat-2, Geophys. Res. Lett., 41, 3988–3905, https://doi.org/10.1002/2014GL060111, 2014.
Miles, B. W. J., Stokes, C. R., and Jamieson, S. S. R.: Pan-ice-sheet glacier terminus change in East Antarctica reveals sensitivity of Wilkes Land to sea-ice changes, Sci. Adv., 2, 1–8, https://doi.org/10.1126/sciadv.1501350, 2016.
Milillo, P., Rignot, E., Mouginot, J., Scheuchl, B., Morlighem, M., Li, X., and Salzer, J. T.: On the short-term grounding zone dynamics of Pine Island glacier, West Antarctica observed with COSMO-SkyMed interferometric data, Geophys. Res. Lett., 44, 10436–10444, https://doi.org/10.1002/2017GL074320, 2017.
Moholdt, G., Padman, L. and Fricker, H. A.: Basal mass budget of Ross and Filchner-Ronne ice shelves, Antarctica, derived from Lagrangian analysis of ICESat altimetry, J. Geophys. Res., 119, 2361–2380, doi:10.1002/2014JF003171,2015.
Mouginot, J., Rignot, E., and Scheuchl, B.: Sustained increase in ice discharge from the Amundsen Sea Embayment, West Antarctica, from 1973 to 2013, Geophys. Res. Lett., 41, 1576–1584, https://doi.org/10.1002/2013GL059069, 2014.
Nakayama, Y., Timmermann, R., Rodehacke, C. B., Schröder, M., and Hellmer, H. H.: Modeling the spreading of glacial meltwater from the Amundsen and Bellingshausen Seas, Geophys. Res. Lett., 41, 7942–7949, https://doi.org/10.1002/2014GL061600, 2014.
Nias, I. J., Cornford, S. L., and Payne, T.: Contrasting the modelled sensitivity of the Amundsen Sea Embayment ice streams. J. Glaciol., 62, 552–562, https://doi.org/10.1017/jog.2016.40, 2016.
Nihashi, S. and Ohshima, K.: Circumpolar mapping of Antarctic coastal polynyas and landfast sea ice: Relationship and variability, J. Clim., 28, 3650–3670, https://doi.org/10.1175/JCLI-D-14-00369.1, 2015.
Nihashi, S., Ohshima, K., and Tamura, T.: Sea-ice production in Antarctic coastal polynyas estimated from AMSR2 data and its validation using AMSR-E and SSM/I SSMIS data, IEEE J. Sel. Top. Appl., 10, 3912–3922, https://doi.org/10.1109/JSTARS.2017.2731995, 2017.
Nitsche, F. O., Jacobs, S. S., Larter, R. D., and Gohl, K.: Bathymetry of the Amundsen Sea continental shelf: Implications for geology, oceanography, and glaciology, Geochem. Geophys. Geosyst., 8, Q10009, https://doi.org/10.1029/2007GC001694, 2007.
Nitsche, F. O., Larter, R. D., Gohl, K., Graham, A. G. C., and Kuhn, G.: Crag-and-tail features on the Amundsen Sea continental shelf, West Antarctica, in: Atlas of Submarine Glacial Landforms: Modern, Quaternary and Ancient, edited by: Dowdeswell, J. A., Canals, M., Jakobsson, M., Todd, B. J., Dowdeswell, E. K. and Hogan, K. A., Geological Society, London, 199–200, 2016.
Orsi, A. H., Whitworth, T. III., and Nowlin Jr, W. D.: On the meridional extent and fronts of the Antarctic Circumpolar Current, Deep-Sea Res. I, 42, 64–673, 1995.
Ó Cofaigh, C. O., Dowdeswell, J. A., Evans, J., Hillenbrand, C. D., Larter, R. D., Morris, P., and Pudsey, C. J.: Flow of the West Antarctic ice-sheet on the continental margin of the Bellingshausen Sea at the Last Glacial Maximum, J. Geophys. Res., 110, B11103, https://doi.org/10.1029/2005JB003619, 2005.
Padman, L., Fricker, H. A., Coleman, R., Howard, S., and Erofeeva, S. Y.: A new tidal model for the Antarctic ice shelves and seas, Ann. Glaciol., 34, 247–254, https://doi.org/10.3189/172756402781817752, 2002.
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.
Paolo, F. S., Padman, L., Fricker, H. A., Adusumilli, S., Howard, S., and Siegfried, M. R.: Response of Pacific-sector Antarctic ice shelves to the El Niño/Southern Oscillation, Nat. Geosci., 11, 121–126, https://doi.org/10.1038/s41561-017-0033-0, 2018.
Park, J. W., Gourmelen, N., Shepherd, A., Kim, S. W., Vaughan, D. G, and Wingham, D. J.: Sustained retreat of the Pine Island Glacier, Geophys. Res. Lett., 40, 2137–2142, https://doi.org/10.1002/grl.50379, 2013.
Parizek, B. R., Christianson, K., Anandakrishnan, S., Alley, R. B., Walker, R. T., Edwards, R. A., Wolfe, D. S., Bertini, G. T., Rinehart, S. K., Bindschadler, R. A., and Nowicki, S. M. J.: Dynamic (in)stability of Thwaites Glacier, West Antarctica, J. Geophys. Res., 118, 638–655, https://doi.org/10.1002/jgrf.20044, 2013.
Pritchard, H. D., Arthern, R. J., Vaughan, D. G., and Edwards, L. A.: Extensive dynamic thinning on the margins of the Greenland and Antarctic ice sheets, Nature, 461, 971–975, https://doi.org/10.1038/nature08471, 2009.
Pritchard, H. D., Ligtenberg, S. R. M., Fricker, H. A., Vaughan, D. G., van den Broeke, M. R., and Padman, L.: Antarctic ice-sheet loss driven by basal melting of ice-sheets, Nature, 484, 502–505, https://doi.org/10.1038/nature10968, 2012.
Rignot, E., Bamber, J. L., van den Broeke, M. R., Davis, C., Li, Y., van de Berg, W. J., and van Meijgaard, E.: Recent Antarctic ice mass loss from radar interferometry and regional climate modelling, Nat. Geosci., 1, 106–110, https://doi.org/10.1038/ngeo102, 2008.
Rignot, E., Mouginot, J., and Scheuchl, B.: Antarctic grounding line mapping from differential satellite radar interferometry, Geophys. Res. Lett., 38, L10504, https://doi.org/10.1029/2011GL047109, 2011.
Rignot, E., Mouginot, J., and Scheuchl, B.: MEaSUREs InSAR-Based Antarctica Ice Velocity Map, Version 2, Boulder, Colorado USA, NASA National Snow and Ice Data Center Distributed Active Archive Center, https://doi.org/10.5067/D7GK8F5J8M8R, 2017.
Rignot, E., Jacobs, S., Mouginot, J., and Scheuchl, B.: Ice-Shelf Melting Around Antarctica, Science, 341, 266–270, https://doi.org/10.1126/science.1235798, 2013.
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., 421, 3502–3509, https://doi.org/10.1002/2014GL060140, 2014.
Scambos, T. A., Haran, T. M., Fahnestock, M. A., Painter, T. H., 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, https://doi.org/10.1016/j.rse.2006.12.020, 2007.
Schoof, C.: Ice sheet grounding line dynamics: Steady states, stability, and hysteresis, J. Geophys. Res., 112, F03S28, https://doi.org/10.1029/2006JF000664, 2007.
Schmidtko, S., Heywood, K. J., Thompson, A. F., and Aoki, S.: Multidecadal warming of Antarctic waters, Science, 346, 1227–1231, https://doi.org/10.1126/science.1256117, 2014.
Scheuchl, B., Mouginot, J., Rignot, E., Morlighem, M., and Khazendar, A.: Grounding line retreat of Pope, Smith, and Kohler Glaciers, West Antarctica, measured with Sentinel-1a radar interferometry data, Geophys. Res. Lett., 43, 8572–8579, https://doi.org/10.1002/2016GL069287, 2016.
Shepherd, A., Wingham, D., Wallis, D., Giles, K., Laxon, S., and Sundal, A. V.: Recent loss of floating ice and the consequent sea level contribution, Geophys. Res. Lett., 37, L13503, https://doi.org/10.1029/2010GL042496, 2010.
Shepherd, A., Ivins, E. R., Geruo, A., Barletta, V. R., Bentley, M. J., Bettadpur, S., Briggs, K. H., Bromwich, D. H., Forsberg, R., Galin, N., Horwath, M., Jacobs, S., Joughin, I., King, M. A., Lenaerts, J. T. M., Li, J., Ligtenberg, S. R. M., Luckman, A., Luthcke, S. B., McMillan, M., Meister, R., Milne, G., Mouginot, J., Muir, A., Nicolas, J. P., Paden, J., Payne, A. J., Pritchard, H., Rignot, E., Rott, H., Sørensen, L. S., Scambos, T. A., Scheuchl, B., Schrama, E. J. O., Smith, B., Sundal, A. V., van Angelen, J. H., van de Berg,W. J., van den Broeke, M. R., Vaughan, D. G., Velicogna, I., Wahr, J., Whitehouse, P. L., Wingham, D. J., Yi, D., Young, D., and Zwally, H. J.: A reconciled estimate of ice sheet mass balance, Science, 338, 1183–1189, https://doi.org/10.1126/science.1228102, 2012.
Smith, B. E., Gourmelen, N., Huth, A., and Joughin, I.: Connected subglacial lake drainage beneath Thwaites Glacier, West Antarctica, The Cryosphere, 11, 451–467, https://doi.org/10.5194/tc-11-451-2017, 2017.
Smith, S. D.: Coefficients for sea surface wind stress, heat flux, and wind profiles as a function of wind speed and temperature, J. Geophys. Res., 93, 15467–15472, https://doi.org/10.1029/JC093iC12p15467, 1988.
Steig, E. J., Ding, Q., Battisti, D. S., 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, https://doi.org/10.3189/2012AoG60A110, 2012.
Stewart, A. L. and Thompson, A. F.: Eddy-mediated transport of warm Circumpolar Deep Water across the Antarctic Shelf Break, Geophys. Res. Lett., 42, 432–440, https://doi.org/10.1002/2014GL062281, 2015.
St-Laurent, P., Klinck, J. M., and Dinniman, M. S.: On the role of coastal troughs in the circulation of warm Circumpolar Deep Water on Antarctic ice shelves, J. Phys. Oceanogr., 43, 51–64, https://doi.org/10.1175/JPO-D-11-0237.1, 2013.
Sutterley, T. C., Velicogna, I., Rignot, E., Mouginot, J., Flament, T., van den Broeke, M. R., van Wessem, J. M., and Reijmer, C. H.: Mass loss of the Amundsen Sea Embayment of West Antarctica from four independent techniques, Geophys. Res. Lett., 41, 8421–8428, https://doi.org/10.1002/2014GL061940, 2014.
Swithinbank, C., Williams Jr., R. S., Ferrigno, J. G., Foley, K. M., and Rosanova, C. E.: Coastal-change and glaciological map of the Bakutis Coast area, Antarctica: 1972–2002: U.S. Geological Survey Geologic Investigations Series Map, I-2600-F; scale: 1 : 1 000 000, with accompanying pamphlet (10 pp.), 2003a.
Swithinbank, C., Williams Jr, R. S., Ferrigno, J. G., Foley, K. M., Hallam, C. A., and Rosanova, C. E.: Coastal-change and glaciological map of the Saunders Coast area, Antarctica: 1972–1997: U.S. Geological Survey Geologic Investigations Series Map, I-2600-G; scale: 1 : 1 000 000, with accompanying pamphlet (9 pp.), 2003b.
Thoma, M., Jenkins, A., Holland, D., and Jacobs, S.: Modelling Circumpolar Deep Water intrusions on the Amundsen Sea continental shelf, Antarctica, Geophys. Res. Lett., 35, L18602, https://doi.org/10.1029/2008GL034939, 2008.
Thomas, E. R., Marshall, G., and McConnell, J.: A doubling in snow accumulation in the western Antarctic Peninsula since 1850, Geophys. Res. Lett., 35, L01706, https://doi.org/10.1029/2007GL032529, 2008.
Thompson, A. F.: The atmospheric ocean: eddies and jets in the Antarctic Circumpolar Current, Phil. Trans. R. Soc. A, 366, 4529–4541, https://doi.org/10.1098/rsta.2008.0196, 2008.
Turner, J., Orr, A., Gudmundsson, G. H., Jenkins, A., Bingham, R. G., Hillenbrand, C.-D., and Bracegirdle, T. J.: Atmosphere-ocean-ice interactions in the Amundsen Sea Embayment, West Antarctica, Rev. Geophys., 55, 235–276, https://doi.org/10.1002/2016RG000532, 2017.
Wåhlin, A. K., Yuan, X., Björk, G., and Nohr, C.: Inflow of Warm Circumpolar Deep Water in the Central Amundsen Shelf, J. Phys. Oceanogr., 40, 1427–1434, https://doi.org/10.1175/2010JPO4431.1, 2010.
Walker, D. P., Brandon, M. A., Jenkins, A., Allen, J. T., Dowdeswell, J. A., and Evans, J.: Oceanic heat transport onto the Amundsen Sea shelf through a submarine glacial trough, Geophys. Res. Lett., 34, L02602, https://doi.org/10.1029/2006GL028154, 2007.
Walker, D. P., Jenkins, A., Assmann, K. M., Shoosmith, D. R., and Brandon, M. A.: Oceanographic observations at the shelf break of the Amundsen Sea, Antarctica, J. Geophys. Res.-Oceans, 118, 2906–2918, https://doi.org/10.1002/jgrc.20212, 2013.
Webber, B. G. M., Haywood, K. J., Stevens, D. P., Dutrieux, P., Abrahamsen, E. P., Jenkins, A., Jacobs, S. S., Ha, H. K., Lee, S. H., and Kim, T. W.: Mechanisms driving variability in the ocean forcing of Pine Island Glacier, Nat. Commun., 8, 14507, https://doi.org/10.1038/ncomms14507, 2017.
Whitworth III, T., Orsi, A. H., Kim, S.-J., and Nowlin Jr., W. D.: Water masses and mixing near the Antarctic Slope Front, in: Ocean, Ice and Atmosphere: Interactions at the Antarctic Continental Margin, Antarctic Res. Ser., vol. 75, edited by: Jacobs, S. S. and Weiss, R. F., 1–27, AGU, Washington, D.C., https://doi.org/10.1029/AR075p0001, 1998.
Wouters, B., Martin-Español, A., Helm, V., Flament, T., van Wessem, J. M., Ligtenberg, S. R. M., van den Broeke, M. R., and Bamber, J. L.: Dynamic thinning of glaciers on the Southern Antarctic Peninsula, Science, 348, 899–903, https://doi.org/10.1126/science.aaa5727, 2015.
Van Wessem, J. M., Reijmer, C. H., Morlighem, M., Mouginot, J., Rignot, E., Medley, B., Joughin, I., Wouters, B., Depoorter, M. A., Bamber, J. L., Lenaerts, J. T. M., Van De Berg, W. J., Van Den Broeke, M. R., and Van Meijgaard, E.: Improved representation of East Antarctic surface mass balance in a regional atmospheric climate model, J. Glaciol., 60, 761–770, https://doi.org/10.3189/2014JoG14J051, 2014.
Van Wessem, J. M., Ligtenberg, S. R. M., Reijmer, C. H., van de Berg, W. J., van den Broeke, M. R., Barrand, N. E., Thomas, E. R., Turner, J., Wuite, J., Scambos, T. A., and van Meijgaard, E.: The modelled surface mass balance of the Antarctic Peninsula at 5.5 km horizontal resolution, The Cryosphere, 10, 271–285, https://doi.org/10.5194/tc-10-271-2016, 2016.
Van Wyk de Vries, M., Bingham, R. G., and Hein, A. S.: A new volcanic province: an inventory of subglacial volcanoes in West Antarctica, in: Exploration of Subsurface Antarctica: Uncovering Past Changes and Modern Processes, edited by: Siegert, M. J., Jamieson, S. S. R., and White, D. A., Geol. Soc., London, 461, 2017.
Vaughan, D. G., Comiso, J. C., Allison, I., Carrasco, J., Kaser, G., Kwok, R., Mote, P., Murray, T., Paul, F., Ren, J., Rignot, E., Solomina, O., Steffen, K., and Zhang, T.: Observations: Cryosphere, in: Climate Change 2013: The Physical Science Basis. Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change, edited by: Stocker, T. F., Qin, D., Plattner, G.-K., Tignor, M., Allen, S. K., Boschung, J., Nauels, A., Xia, Y., Bex, V., and Midgley, P. M., Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, 65 pp., 2013.
Zhang, X., Thompson, A. F., Flexas, M. M., Roquet, F., and Bornemann, H.: Circulation and meltwater distribution in the Bellingshausen Sea: From shelf break to coast, Geophys. Res. Lett., 43, 6402–6409, https://doi.org/10.1002/2016GL068998, 2016.