Articles | Volume 15, issue 2
The Cryosphere, 15, 485–500, 2021
https://doi.org/10.5194/tc-15-485-2021
The Cryosphere, 15, 485–500, 2021
https://doi.org/10.5194/tc-15-485-2021

Research article 02 Feb 2021

Research article | 02 Feb 2021

Thinning leads to calving-style changes at Bowdoin Glacier, Greenland

Thinning leads to calving-style changes at Bowdoin Glacier, Greenland
Eef C. H. van Dongen1, Guillaume Jouvet2,3, Shin Sugiyama4, Evgeny A. Podolskiy4, Martin Funk1, Douglas I. Benn5, Fabian Lindner1,6, Andreas Bauder1, Julien Seguinot1, Silvan Leinss7, and Fabian Walter1 Eef C. H. van Dongen et al.
  • 1Laboratory of Hydraulics, Hydrology and Glaciology (VAW), ETH Zurich, Zurich, Switzerland
  • 2Department of Geography, University of Zurich, Zurich, Switzerland
  • 3Autonomous Systems Laboratory, ETH Zurich, Zurich, Switzerland
  • 4Institute of Low Temperature Science, Hokkaido University, Sapporo, Japan
  • 5Department of Geography and Sustainable Development, University of St Andrews, St Andrews, UK
  • 6Department of Earth and Environmental Sciences, Ludwig-Maximilians-Universität München, Munich, Germany
  • 7Institute of Environmental Engineering, ETH Zurich, Zurich, Switzerland

Correspondence: Eef C. H. van Dongen (vandongen@vaw.baug.ethz.ch)

Abstract

Ice mass loss from the Greenland ice sheet is the largest single contributor to sea level rise in the 21st century. The mass loss rate has accelerated in recent decades mainly due to thinning and retreat of its outlet glaciers. The diverse calving mechanisms responsible for tidewater glacier retreat are not fully understood yet. Since a tidewater glacier’s sensitivity to external forcings depends on its calving style, detailed insight into calving processes is necessary to improve projections of ice sheet mass loss by calving. As tidewater glaciers are mostly thinning, their calving styles are expected to change. Here, we study calving behaviour changes under a thinning regime at Bowdoin Glacier, north-western Greenland, by combining field and remote-sensing data from 2015 to 2019. Previous studies showed that major calving events in 2015 and 2017 were driven by hydro-fracturing and melt-undercutting. New observations from uncrewed aerial vehicle (UAV) imagery and a GPS network installed at the calving front in 2019 suggest ungrounding and buoyant calving have recently occurred as they show (1) increasing tidal modulation of vertical motion compared to previous years, (2) absence of a surface crevasse prior to calving, and (3) uplift and horizontal surface compression prior to calving. Furthermore, an inventory of calving events from 2015 to 2019 based on satellite imagery provides additional support for a change towards buoyant calving since it shows an increasing occurrence of calving events outside of the melt season. The observed change in calving style could lead to a possible retreat of the terminus, which has been stable since 2013. We therefore highlight the need for high-resolution monitoring to detect changing calving styles and numerical models that cover the full spectrum of calving mechanisms to improve projections of ice sheet mass loss by calving.

1 Introduction

Greenland's tidewater glaciers have been observed to accelerate, thin, and retreat faster than any other part of the ice sheet (e.g.  Pritchard et al.2009; Hill et al.2017; IMBIE Team2019). There is large potential for rapid retreat in the north-west, where retreat and discharge have continued to accelerate within the past 3 years (King et al.2020). Projections of future ice sheet mass loss, and thereby of sea level rise, depend on the capability to predict tidewater glacier behaviour. Despite recent advances in observing and modelling calving mechanisms, fundamental gaps in our understanding of outlet glacier sensitivity to climate change remain, such as quantification of the ice–ocean interaction and understanding of glacier behaviour under near-buoyant and super-buoyant conditions (Benn and Åström2018; Catania et al.2020).

Observations show that for some tidewater glaciers, large-scale infrequent calving events dominate the ice mass loss over small frequent events (Walter et al.2010; James et al.2014; Åström et al.2014; Medrzycka et al.2016). We use the term “large-scale” relative to each individual glacier’s annual mass loss through calving. As the physical processes triggering small- and large-scale events differ (Medrzycka et al.2016), it is particularly important to understand the mechanisms behind large-scale events. Benn and Åström (2018) describe four main calving mechanisms.

  1. Rifting due to extensional stress: stretching in response to velocity gradients initiates crevasses which penetrate to full depth (rifts). The rifts can propagate over days to weeks and eventually release large icebergs. On tidewater glaciers, fracture-inducing velocity gradients exist towards the terminus due to increasing basal motion (because effective pressure and thus drag are reduced at the bed as the glacier approaches flotation towards the terminus) and reduced lateral drag if ice flows into a wider part of a fjord. Propagation of crevasses to rifts requires the presence of water to oppose the stabilizing effect of ice overburden pressure (hydro-fracturing). If sufficient meltwater is available, a surface crevasse may penetrate through the glacier thickness (Benn et al.2007). Basal water pressure can promote basal crevasse propagation if ice is at or close to flotation (Benn and Åström2018).

  2. Stresses associated with the force imbalance at ice fronts: the outward-directed cryostatic pressure is greater than the backward-directed hydrostatic pressure. This imbalance induces a deviatoric stress which increases with ice cliff height (Hanson and Hooke2000). This stress leads to crevasse formation and may exceed the strength of ice if cliffs are tall enough (freeboard between 100 and 285 m;  Parizek et al.2019), a mechanism called the marine ice cliff instability (Pollard et al.2015).

  3. Undercutting by subaqueous melting: removal of support from the calving front. Undercut calving fronts have been observed on Greenlandic tidewater glaciers and near plumes, which release buoyant meltwater subglacially (Fried et al.2015; Rignot et al.2015). Depending on the ice front geometry, iceberg sizes may exceed the extent of melt-induced undercuts, a so-called “calving amplifier effect” (O'Leary and Christoffersen2013). Analysis of stresses suggests that calving rates may be up to 4 times the subaqueous melt rate if undercuts are sufficiently large (Benn et al.2017). However, if frequent small calving events repeatedly remove the destabilized ice, such as observed on Tunabreen (Svalbard; How et al.2019), the undercut may never become large enough to induce a calving amplifier effect.

  4. Buoyant calving: uplift of a super-buoyant glacier tongue. Ice flow into deep water can result in a terminus below buoyant equilibrium (“super-buoyancy”) and thus subjected to upward-directed buoyant forces. These forces may lead to upward rotation of the terminus, which can create flexure that induces basal crevasse formation and detachment of full-thickness icebergs of hundreds of metres lateral extent (Murray et al.2015). Numerical simulations by Benn et al. (2017) indicate that super-buoyant conditions can also develop by thinning due to accelerated longitudinal stretching, known as dynamic thinning.

Which calving mechanisms dominate depends on the glacier geometry and environmental forcings (Benn and Åström2018). Observations show that calving events can involve several processes both in time and space for a single glacier. At Eqip Sermia (Greenland), inhomogeneous geometry causes different calving processes to occur; calving events are more frequent and larger where the fjord is shallow than for the deep part, which has a smaller ice cliff above sea level (Walter et al.2020). When Columbia Glacier (Alaska) became ungrounded in 2007, a calving-style transition occurred from a steady release of low‐volume icebergs to episodic flow‐perpendicular rifting and release of very large icebergs (Walter et al.2010).

Calving styles also vary seasonally as most tidewater glacier termini on Greenland advance in winter and retreat in summer (e.g.  Moon and Joughin2008). Potential drivers of seasonal behaviour include ice mélange buttressing; increased surface melt, leading to hydro-fracturing and acceleration of ice flow; and increased undercutting. Fried et al. (2018) studied the drivers of seasonal terminus change at 13 central west Greenland tidewater glaciers. They found that seasonal cycles are mainly governed by variations in glacial run-off rather than ice mélange or ocean thermal forcing, but the sensitivity to forcings depends on the dominant calving style. Sakakibara and Sugiyama (2020) studied seasonal cycles of 10 tidewater glaciers in north-western Greenland. Three large, fast-flowing glaciers had a nearly constant frontal ablation rate, except for several large calving events which occurred irrespective of ice mélange conditions. In contrast, around 50 % of the annual frontal ablation occurred during summer at four slower-flowing glaciers (including Bowdoin Glacier, the focus of this study). Sakakibara and Sugiyama (2020) relate these differences to the fjord depth, which is larger at the fast-flowing glaciers. Warm Atlantic water intrudes into deep fjords and induces submarine melt throughout the year (Porter et al.2014). In the shallower fjords, submarine melt rate increases in summer because of fjord circulation driven by subglacial discharge (Sciascia et al.2013). Thereby, increased submarine melt leads to larger frontal ablation in summer for the glaciers which terminate in shallower fjords.

With the sustained thinning as observed at the margins of the Greenland ice sheet (IMBIE Team2019; King et al.2020), ungrounding of termini is expected to affect calving processes. In order to improve projections of mass loss by calving, a better understanding of changing calving mechanisms is needed. To study the short-term variations in flow and flotation conditions which are essential to analysing calving mechanisms in detail, high-temporal-resolution and high-spatial-resolution ice motion data are required, which cannot be provided by remote sensing (Podrasky et al.2014). However, field observations near the calving fronts of tidewater glaciers are logistically challenging and therefore limited. An exception is the study by Murray et al. (2015), who captured glacier dynamics at high temporal resolution by deploying a GPS network at the calving front of Helheim Glacier. They recorded glacier motion during a number of major buoyant calving events.

Here, we study calving mechanisms under a thinning regime at Bowdoin Glacier, a 2.8 km wide tidewater glacier in north-western Greenland (Fig. 1a). Its terminus was grounded but near flotation in 2013 (Sugiyama et al.2015). We combine 5 years of field and remote-sensing data to investigate whether a change in calving mechanisms may have occurred at Bowdoin Glacier. We present measurements from a network of 10 GPS stations installed along the front in July 2019. The GPS network monitored glacier motion during a calving event on 20 July and prior to a second calving event on 29 July. First, we analyse the GPS data and show that these two calving events were likely triggered by buoyancy-driven basal crevassing. Then, we compose an inventory of large-scale calving events from satellite imagery, which shows that calving events seem to have become more frequent outside the melting season.

2 Characteristics of Bowdoin Glacier

Bowdoin Glacier (77 N, 68 W; Kangerluarsuup Sermia in Greenlandic; Bjørk et al.2015) provides a unique opportunity to study calving through in situ measurements at the calving front due to its accessibility via a crevasse-free walkable medial moraine (Fig. 1a). Field campaigns on Bowdoin Glacier were repeated in the summers of 2013–2017 and 2019 in a collaboration between Hokkaido University, ETH Zurich, and University of Florence (Sugiyama et al.2020).

Bowdoin Glacier dynamically thinned at a rate greater than 5 m yr−1 in 2007–2013 (Tsutaki et al.2016; Sakakibara and Sugiyama2018). From 2008, Bowdoin Glacier retreated rapidly after more than 20 years of a fairly stable terminus position on a bump on the ocean floor (Sugiyama et al.2015). It stabilized to its current position in 2013, with a near-buoyant terminus, on inland-sloping bedrock upstream of the bump (Fig. 1). The glacier was up to 250 m thick at the calving front in 2013 (Sugiyama et al.2015). Since 2013, the ice flow velocity has not decreased (Sakakibara and Sugiyama2020); therefore further thinning and ungrounding of the terminus are expected.

Flow velocities vary seasonally. In 2015 they ranged from 0.8 to 1.1 m d−1 from March to May, increasing to 1.6 m d−1 in early July and decreasing again to 1 m d−1 in September (Sakakibara and Sugiyama2020). The marginal area south-east of the medial moraine is almost stagnant, creating a zone of high shear in the vicinity of the moraine. The slow-moving area is characterized by shallow bedrock (Jouvet et al.2017; van Dongen et al.2020c). The high-shear zone acts as a “suture zone”, where crevasse tips arrest (Hulbe et al.2010), such that the area in close vicinity to the medial moraine is usually crevasse-free.

Kilometre-scale calving events form a major part of Bowdoin Glacier's mass loss by calving (Jouvet et al.2017; Minowa et al.2019). During field campaigns in 2015 and 2017, deep surface crevasses were observed which lead to major calving events at similar locations near the moraine, where a plume was visible (Figs. 2, 3a, b). A supraglacial meltwater stream was present along the moraine during the field campaigns. In 2015 and 2017, the stream discharged into the surface crevasses as soon as they formed, deepening them by hydro-fracturing, leading to calving 5–15 d later. Numerical modelling showed that the crevasses were at least half-thickness deep and that melt-undercutting in the vicinity of the plume likely facilitated the 2017 calving (Jouvet et al.2017; van Dongen et al.2020c, d).

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Figure 1(a) Map of Bowdoin Glacier. The star in the upper left inset indicates the position of Bowdoin Glacier in Greenland (MODIS; ORNL DAAC2018), and the Copernicus Sentinel-2 satellite image shows Bowdoin Glacier on 1 July 2019. White dots show the positions of the time lapse camera and GPS base station. Front positions from 1973 to 2020 in varying colour (see legend), derived from satellite imagery (from 2015 derived from Sentinel-1; see Sect. 3.4; earlier positions from Sugiyama et al.2015, and Sakakibara and Sugiyama2018). (b) Centre-line cross section of ocean bed, glacier bed, and glacier surface elevations as in summer 2013, including the front position in 2008 (Sugiyama et al.2015).

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Figure 2Pictures of the deep crevasses at the calving front in July 2015 (a; date unknown) and 6 July 2017 (b) that both led to large-scale calving events, both with a person for scale. (a) Credit: E. Podolskiy; (b) credit: L. Preiswerk).

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Figure 3UAV-derived ortho-images of the calving front of Bowdoin Glacier showing large calving events that occurred on 27 July 2015 (a), 8 July 2017 (b), 20 July 2019 (c), and 29 July 2019 (d). All panels have the same scale and cover the same part of the front (outlined in Fig. 4a). Pre-calving images are overlaid by 50 % transparent post-calving images. Red dots show the GPS stations installed in 2019 (c and d; with an orange dot for station 3f that calved off). Blue dots show the position of an additional GPS station installed every year (a–d; labelled with the year of operation). Outlines of the calved parts of the glacier in black. White rectangles show the locations of the aerial image and ortho-image in Fig. 6.

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3 Data and methods

We study effects of glacier thinning on Bowdoin Glacier's calving behaviour. To analyse drivers of fracture initiation in detail, we installed a GPS network at the calving front in July 2019, which provides short-term variations in vertical motion and strain. A summary of events during the field campaign is provided in Table 1. Satellite and time lapse imagery are used to construct a calving event inventory to investigate possible changes in Bowdoin's calving mechanisms since 2015. Table 2 provides an overview of the periods for which each dataset is available.

Table 1Timeline of events during the 2019 field campaign.

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3.1 Elevation change

To study ungrounding, glacier thinning was derived from ArticDEM strips of 2013–2017 (Porter et al.2018). The digital elevation models (DEMs) were coregistered using the method outlined in Nuth and Kääb (2011) and implemented in the GeoUtils library (http://github.com/GeoUtils, last access: January 2020). Additionally, a 2D linear function is estimated from the elevation difference over stable areas and removed from the map of elevation change.

3.2 GPS measurements

In 2019, two rows of five Emlid Reach M+ single-frequency, low-cost (about USD 300), differential GPS receivers were installed on stakes drilled into the ice, in close vicinity to the calving front (Fig. 3c), and powered by solar panels. Most of the stations were running from 8 to 25 July 2019, and data were downloaded on a regular basis using Wi-Fi, without touching the devices. Pairs of stations were numbered 1–5, starting from the centre towards the south-eastern margin, with “f” (forward) for the station closest to the front and “b” (backward) further back (Fig. 3c). The spacing between receivers was  215 m in the across-flow direction and  115 m in the along-flow direction. A base station was installed on the bedrock next to the glacier to provide a stationary reference point (Fig. 1a). GPS data were processed with RTKLIB using a kinematic mode to obtain the position every second (Takasu and Yasuda2009). To assess the positioning accuracy, we performed a static test. In addition to the base station, we left another receiver immobile on a stable off-glacier area for  12 d and monitored the variability in its position over time. After differential processing, 95 % of the recorded positions were within 10 mm horizontally and 29 mm vertically from the mean values. When taking the 1 h moving average of the vertical position, the maximum deviation of 95 % of the recorded positions to the mean position is 6 mm, which we interpret as the vertical positioning accuracy of our processed GPS data.

One GPS station (3f) calved off during the 20 July event. Data from 3f were downloaded the last time on 15 July. Two of the remaining stations (2f and 4f) were retrieved on 22 July due to the risk of a subsequent calving event. All remaining stations were retrieved by the end of the field campaign on 25 July, 4 d prior to the second-observed major calving event.

To monitor the time evolution of flotation conditions, another GPS station was also installed in between 1b and 2b, at approximately the same coordinate during each field campaign (positions shown in Fig. 3). The installation positions in 2015, 2016, and 2019 were located within 20 m, but in 2017 the GPS station was installed approximately 30 m further upstream. The distance to the front varied from 240 m (2015) to 140 m (2019) due to variations in the front position. For more information on this different GPS set-up and processing, we refer to Sugiyama et al. (2015).

3.3 UAV photogrammetry

The fixed-wing uncrewed aerial vehicle (UAV) “WingtraOne” with vertical take-off and landing was used to conduct photogrammetrical surveys on 17, 19, 21, and 28 July 2019. The missions consisted of one to four flights of four lines each, parallel to the calving front  400 m above the glacier surface, covering 800–3000 m of the terminus of Bowdoin Glacier. The UAV was programmed to take aerial photographs overlapping 90 % in the flight direction and 75 % in the across-flight direction, with a ground sampling distance of  0.12 m. Ortho-images with 0.5 m resolution were derived by structure-from-motion photogrammetry using Agisoft PhotoScan software. All 10 GPS stations were marked with tarps and served as ground control points (GCPs) for georeferencing. UAV surveys in 2015 and 2017 are described in Jouvet et al. (2017) and van Dongen et al. (2020c).

3.4 Satellite images

We constructed an inventory of calving events from 2015–2019, containing all calving events which were large enough to be detected on satellite images. A combination of Landsat 8 Operational Land Imager panchromatic imagery, Sentinel-2 imagery, and Sentinel-1 synthetic aperture radar (SAR) imagery is used (Table 2). The visual satellite imagery (Landsat 8 and Sentinel-2) is complemented by Sentinel-1 SAR imagery in case of clouds, such that the image pairs used to outline calving events are maximum 6 d apart. Spatial resolution of the images varies from 30 m (Landsat 8) to 10 m (Sentinel). Sentinel-1 data were downloaded using the Google Earth Engine (Gorelick et al.2017), which provides backscatter coefficients orthorectified using the ASTER DEM to the same coordinate system as Sentinel-2 imagery (UTM 19N). To minimize incidence-angle-dependent effects and also artefacts due to inaccuracies in the DEM, we processed data from a single orbit (026, descending). To correct for sub-pixel shifts between the orthorectified images, we coregistered them to a common reference (intensity average of all scenes) using intensity cross-correlation (Strozzi et al.2002).

In order to put the scale of detected events into perspective, their area is expressed relative to the annual areal ice discharge. To allow direct comparison of calving event sizes between years, we used the annual discharge averaged for 2015–2019 estimated from Sentinel-2 imagery (in combination with the estimate for 2015 derived in Jouvet et al.2017). From these images, we derive 50 m resolution monthly velocity fields from 2016–2019 by the orientation correlation method with a window size of 40×40 pixels using the software package ImGRAFT (Messerli and Grinsted2015). We estimated an annual ice discharge of approximately 0.9±0.2km2 yr−1 by integrating monthly velocities from 2015–2019 over the flux gate shown in Fig. 7c. The velocities are not integrated over the ice thickness.

3.5 Time lapse images

An automated camera was installed next to the calving front (Fig. 1a), taking daily pictures from July 2014 to July 2017 and hourly pictures during field campaigns in July 2015, 2016, 2017, and 2019. The images were used to further constrain the timing of calving events in the inventory.

3.6 Meteorological and ocean data

To investigate tidal forcings, observations of tidal height at Thule Air Base were used, 125 km south of Bowdoin Glacier, provided as a part of the Global Sea Level Observing System network (https://www.gloss-sealevel.org/, last access: 1 September 2020). These records show the same phase and amplitude as in Bowdoin Fjord (Podolskiy et al.2016). We obtained hourly air temperatures at Qaanaaq Airport (16 m a.s.l.), located 30 km south-west of Bowdoin Glacier, from the National Oceanic and Atmospheric Administration (http://www.ncdc.noaa.gov/cdo-web/datasets, last access: 20 March 2020). The temperature dataset was used to constrain the melt season duration as an indicator for the possibility of hydro-fracturing as a potential driver of calving. The first and last occurrence of at least 2 consecutive days with positive hourly air temperature are used as proxy for surface melt.

Table 2Overview of the availability of datasets. Field seasons are outlined with vertical lines. Positions of the GPS network are shown in Fig. 3c and d. The position of the single GPS in each year is also shown in Fig. 3. Note that timings are sometimes approximated as the entire July month is marked as the field season each year, whereas the campaigns were shorter in 2015–2017.

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4 Results

4.1 Elevation change 2013–2017

ArcticDEMs show that most of the glacier front lowered from 2013–2017 (Fig. 4). A particularly strong local lowering is observed after 2015 in the area close to the medial moraine where GPS stations 4b–f are located. There, the lowering rate reached up to 12 m yr−1 between 2015 and 2017. On the bedrock, elevation differences are within ±1m, which we interpret as the accuracy of the detected elevation change.

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Figure 4Elevation distribution in April 2013 (a) and elevation change from April 2015 to March 2017 (b–d), using ArcticDEM. Colours in (b–d) show the total elevation change relative to April 2013 (negative, red, means lowering). The manually traced location of the moraine (Fig. 1a) is indicated by a transparent black line in all panels, and the location of cropped ortho-images in Fig. 3 is shown by a black rectangle in (a).

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4.2 Vertical tidal modulation 2015–2019

To investigate the influence of thinning on flotation conditions at the calving front, we analyse the vertical response to semi-diurnal tidal modulation. We calculate the tidal admittance as the range in vertical surface displacement relative to the tidal range (de Juan et al.2010). We define the range of tidally modulated vertical motion as the elevation difference during low and subsequent high tide. GPS data show that the vertical tidal modulation increased since 2017 (Fig. 5), with a stronger correlation between detrended elevation and tidal height in 2017 and 2019 (r=0.64) than in 2015 and 2016 (r=0.28). In both 2017 and 2019, the mean tidal admittance was 0.9 %. Also the maximum tidal admittance was equal: 2.6 %, observed on 10 July 2017 and 15 July 2019.

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Figure 5Detrended, 1 h moving average vertical position (blue) at the station installed in each field campaign (location shown by blue dot in Fig. 3), with the tidal height in the background (black).

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4.3 Two large-scale calving events in July 2019

Two major calving events were detected from UAV and time lapse imagery, on 20 and 29 July 2019 (Figs. 3c, d and S3). UAV imagery shows that the size of the 20 July event was approximately 700 m by 50 m and was centred close to the moraine (Fig. 3c). Because the field campaign ended on 29 July (Table 1), we have no UAV imagery after the calving event on 29 July. However, by combining UAV and satellite imagery, we find that the 29 July calving event was almost 3 times as large in area as the 20 July event. It was approximately 1 km by 100 m and widest in the central part of the glacier (Fig. 3d).

In contrast to large-scale calving events observed in July 2015 and 2017, no major surface crevasses were observed prior to calving, neither in the field nor from aerial imagery. Figure 6a shows an image taken by the UAV 17 h before calving occurred on 20 July without a crevasse visible at the calving location. Also during the last UAV survey on 28 July, no crevasse was seen on the surface where calving occurred 14 h later (Fig. 6b). The lack of a precursor crevasse was also evident from the meltwater stream on the moraine, which was at all times observed to discharge into the sea through a waterfall at the calving front (Fig. 6a). A surface crevasse draining the stream was not observed, contrary to 2015 and 2017 (Jouvet et al.2017; van Dongen et al.2020c).

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Figure 6(a) UAV aerial image, taken on 19 July 2019, 17 h before GPS station 3f calved off, but 4f did not calve. (b) Ortho-image on 28 July 2019, 14 h prior to calving. The approximate locations of calving, derived from UAV and satellite imagery, are drawn as dotted red lines. The area of white ice fragments in (a) is discussed in Sect. 5.2. For reference, the location of station 1f at its retrieval on 25 July is shown in (b).

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4.4 Horizontal flow velocity in July 2019

Both GPS and satellite-derived horizontal velocity are shown in Fig. 7. The velocity in July 2019 is similar in magnitude and tidal modulation as observed in previous years (Sugiyama et al.2015). Stations 1–4 show very similar velocities in general (Fig. 7a). As expected, velocity is much lower at stations 5b and 5f, which are located in the slow-moving area in the south-east (Fig. 7c; see Fig. 3c for positions). The horizontal velocity at stations 1–4 usually reaches a minimum at high tide. A temporary flow acceleration occurred on 14 July, which was most likely induced by surface meltwater input into the subglacial drainage system, resulting in enhanced sliding as the accelerated flow coincided with the only 2 consecutive days of temperatures above 15 C in Qaanaaq in July 2019. Similar speed-up events were observed after a few days of high air temperatures (Jouvet et al.2018) or rainfall (Sugiyama et al.2015). The stations' horizontal velocities are not visibly affected by the 20 July calving event (red line, Fig. 7a), neither when velocities are calculated over a shorter time range nor in the 1 s interval positioning data (not shown).

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Figure 7(a) GPS-derived horizontal velocity (4 h moving average), (b) tidal height time series, and (c) Sentinel-2-derived horizontal velocity by averaging monthly velocities from 12 March–28 September 2019. Positions of the GPS in (a) are shown as white dots in (c); for labels see Fig. 3c. Blue vertical lines in (a) and (b) show the timing of high tide and the red vertical line in (a) the large-scale calving event on 20 July. The blue bar in (c) shows the flux gate used for ice discharge calculation.

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4.5 Horizontal strain in July 2019

As a measure of cumulative strain, we calculate the relative distance increase over time t according to d(t)/d(t0)-1, where d is the distance between two stations aligned along flow (Fig. 3c) and t0 the initial time. Stations 2b–f and 4b–f show increased extension after the 20 July calving event (Fig. 8b and d), which is likely due to their position closer to the new calving front. A similar increase in extension seems present at the other stations as well, although less clearly. Stations 1b–f show strong horizontal surface compression after 23 July (Fig. 8e), prior to the second major calving event on 29 July.

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Figure 8Cumulative strain time series for each along-flow station pair (a–e; 1 h moving average), timing of high tide (vertical blue lines), speed-up (black lines), and the 20 July 2019 calving event (red lines; GPS positions in Fig. 3c). Increasing cumulative strain means stretching occurs at the surface, whereas surface compression gives decreasing cumulative strain.

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4.6 Vertical motion in July 2019

Figure 9 shows the time series of elevation for the GPS stations. Three periods of distinct vertical motion are visible (separated by vertical lines in Fig. 9): (1) prior to the speed-up on 14 July, (2) between the speed-up and calving event on 20 July, and (3) between the calving events on 20 and 29 July. The spatial distribution of the time-averaged vertical motion is displayed in Fig. 10. Prior to the speed-up, almost all stations west of the moraine move downward (except 1b, which shows limited vertical motion), whereas the stations east of the moraine move upward (Fig. 10a).

After the speed-up, only station 1f still moves downward, stations 4f–b move upward quickly, and the other stations are initially almost stagnant (Fig. 9b). An abrupt change in vertical motion in response to the speed-up is observed at stations 5f–b, located in the slow-moving area (Fig. 9a), whereas the change is rather smooth at the other stations (Figs. 9b–d). A total upward vertical displacement of  0.2 m occurred at stations 4f–b between the 14 July speed-up and 20 July calving event (Fig. 9b).

After calving on 20 July, stations 2f, 3b, 4b, and 4f show changes in vertical motion (Fig. 10c). The uplift observed prior to calving stops (station 4b; Fig. 9d in red) or turns into downward motion (4f; Fig. 9d in blue), or downward motion increases (3b; Fig. 9c red; and 2f; Fig. 9b blue). The highest rates of downward displacement are observed at 2f and 4f, which are situated closest to the calving event (Fig. 10c). No changes are observed at stations 1b–f, 2b, and 5b–f.

https://tc.copernicus.org/articles/15/485/2021/tc-15-485-2021-f09

Figure 9GPS-derived elevation time series for each station (a–e; applying a 1 h moving average), timing of high tide (vertical blue lines), the speed-up (black lines), and the 20 July 2019 calving event (red lines). Stations closest to the calving front are shown in blue (1f–5f), stations  120 m further away in red (1b–5b; see Fig. 3c for positions of GPS stations).

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https://tc.copernicus.org/articles/15/485/2021/tc-15-485-2021-f10

Figure 10GPS-derived elevation change averaged over three time periods indicated above each panel (ac). The observations are interpolated linearly between the stations to visualize the spatial pattern of elevation change. The UAV-derived ortho-images in the background are from 15 July (a, b) and 21 July 2019 (c).

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4.7 Vertical tidal modulation in July 2019

Stations 1–4 show tidal modulation of the vertical position (Fig. 9), whereas this modulation is not visible at stations 5f and 5b, located in the slow-moving area. When subtracting a linear trend, the tidal modulation becomes more clearly visible (Fig. S1). Besides the semi-diurnal tidal modulation, a modulation with a 2-week period similar to the spring–neap tidal cycle also seems present, most clearly for stations 3b and 4f–4b. However, as the observational period only spans slightly more than one spring–neap cycle, it is not possible to conclude whether this cycle also modulates vertical motion.

For most stations, the largest admittance occurred on the evening low tide of 17 July, which is shown in Fig. 11b. The largest range on 17 July is measured at stations 2f and 4f, which lifted 0.07 m, 3.0 % of the tidal range. The range quickly diminishes upglacier and is only about half as large at 2b and two-thirds at 4b. The range is also smaller towards the glacier centre (left side of Fig. 11). At station 1f, only 0.04 m uplift is measured, which is slightly more than half the uplift measured at station 2f, 180 m closer to the moraine. These numbers agree well with the additional GPS (Sect. 4.2). On 17 July 2019, a tidal admittance of 1.8 % was measured, which is very close to the admittance linearly interpolated from the four nearest stations (1f–b and 2f–b, where interpolation by triangulation yields 1.9 %). At station 3f, for which we have no data on 17 July, the largest admittance is 3.2 %, which is obtained on 8 July, as shown in Fig. 11a.

https://tc.copernicus.org/articles/15/485/2021/tc-15-485-2021-f11

Figure 11GPS-derived tidal admittance (range in vertical position as percentage of the tidal range) for two dates. Tidal admittance is interpolated linearly between the stations for the sake of visualization. Background UAV-derived ortho-images are from 15 July 2019.

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4.8 Calving inventory 2015–2019

We manually outlined large calving events visible from satellite imagery from 2015–2019 and calculated the area per event relative to the averaged annual ice discharge. We detected 73 events, which form 40 %–80 % of the annual ice discharge. Detected area loss between an image pair can reach up to 25 % of the annual ice discharge. However, it is impossible to determine from satellite imagery whether these losses are single calving events, even for a minimum time span of 1 d between image acquisitions. Therefore we have used time lapse imagery (when available) to confirm that these area losses are due to single calving events (Figs. S2, S3). Major loss ( 15 % of annual ice discharge) in one image pair is detected 6 times, at least once every year. Together the six largest events form 22 % of the estimated ice discharge in the entire period. Figure 12 shows that large calving events (≥5 % of annual ice discharge) are rare outside of the melt season (orange lines), except for four events on 4 May 2015, 1 May 2018, 19 March 2019, and one event between 28 December 2019 and 3 January 2020. The relative contribution of calving events outside the melt season to the yearly total is larger in 2018 and 2019 than in the 3 years before, in terms of both area and number.

https://tc.copernicus.org/articles/15/485/2021/tc-15-485-2021-f12

Figure 12Time series of the area per calving event inferred from satellite image pairs (red, left y axis) and the cumulative annual area loss by calving (blue, right y axis), both relative to estimated annual discharge of 0.9km2. Horizontal red bars show when the date of calving is unknown. Vertical orange lines show the first and last 2 consecutive days with positive hourly temperatures. The dashed orange line in 2017 indicates a separate 2 d peak with positive temperatures in December. The source of satellite imagery is indicated at the top of each panel. The average calved area per event (Aav), number of events (Ntot), and the relative contribution of calved area and number of events in winter (Awinter, Nwinter) are given for each year.

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5 Discussion

When Bowdoin Glacier stabilized to its current position in 2013, its terminus was grounded but very close to flotation (Sugiyama et al.2015). Field evidence and modelling results showed that two major calving events in July 2015 and 2017 resulted from deep surface crevasses which were likely propagated by hydro-fracturing and facilitated by submarine melt-undercutting (Jouvet et al.2017; van Dongen et al.2020c, d). Because Bowdoin Glacier thinned since it stabilized (Fig. 4), the terminus is now closer to flotation and thus may have become subject to buoyant calving. We obtained high-resolution ice motion data from a GPS network in July 2019, which are most suitable to investigate flotation conditions. Therefore, we first discuss why our observations indicate that at least part of the terminus was ungrounded, and buoyant calving occurred in July 2019. Then, we combine field and remote-sensing data from previous years and show that ungrounding was measurable from 2017, when calving was still observed to occur through rifting due to extensional stress, and buoyant calving has become more common since 2018.

5.1 Signs of an ungrounded terminus in July 2019

Our GPS measurements indicate in three ways that Bowdoin Glacier's terminus was (at least partially) ungrounded in July 2019:

  • Vertical motion at Bowdoin's terminus is modulated by tide at stations 1–4 but not at 5f–b (Fig. 9). The magnitude of vertical tidal modulation strongly varies spatially (Fig. 11), which suggests that flotation conditions vary across the front. The absence of tidal modulation in the slow-flowing area, where 5f–b are located, indicates that this area is still grounded. The largest tidal modulation is observed close to the moraine; thus this area is presumably subject to largest buoyant forces.

  • There is no short-lived horizontal-velocity response to the calving on 20 July. This suggests that the calved block did not contribute significantly as a resistive force to the near-terminus force balance. Basal drag caused by this block was likely small, which could be the result of the terminus being at flotation there.

  • A change in vertical motion after the 14 July speed-up is most abrupt at 5f and 5b, which show fast upward motion during the speed-up and reduced upward motion afterwards (Fig. 9e). In other years, GPS measurements on Bowdoin Glacier also showed upward motion during fast flow (relative to a downward trend), which has been interpreted as basal separation caused by elevated basal water pressure (Sugiyama et al.2015). Basal separation is only relevant in areas where the glacier is grounded, and basal water pressure is governed by meltwater input to the bed. Therefore, the vertical motion during the speed-up event supports our assumption that the slow-flowing area where stations 5f–b are located is still grounded. The absence of change in vertical motion related to the speed-up at stations 1–4 suggests that basal separation did not occur there, as would be expected if this part of the terminus was already afloat.

Interpretation of the observed tidal modulation of horizontal velocity in relation to the terminus' flotation condition is more complex. We observe the lowest horizontal velocities at high tide. This contradicts the expected behaviour if the basal hydrological system were well connected to the ocean. In this case, increased basal water pressure during high tides would reduce basal drag and enhance ice motion, as has been observed on ice shelves (Brunt2008). However, velocity minima at high tide have also been observed at fast-flowing tidewater glaciers in Alaska (Walters and Dunlap1987; O’Neel et al.2001) and Greenland (Davis et al.2007; de Juan et al.2010; Podrasky et al.2014). Slow-down at high tide suggests that the dominant effect of tides is the back pressure at the calving front (Thomas2007). Since similar tidal modulation of horizontal velocity has been observed for a tidewater glacier with regions of floating ice (Podrasky et al.2014), the observed slow-down at high tide does not exclude the possibility of a (partially) ungrounded terminus.

5.2 Buoyant calving in July 2019

Our GPS observations are consistent with buoyant calving as observed at Helheim Glacier by Murray et al. (2015). They observed uplift and rotation of the front, creating basal crevasses and forming a surface depression above the basal crevasses, which they call a “flexion zone”. The basal crevasses induced buoyant calving of the entire area downglacier of the flexion zone. Such behaviour is particularly clearly visible at our stations 1b–f (Fig. 9a). Station 1f lies on the outline of the 29 July calving event and thus in the flexion zone. Downward motion is observed at 1f in the entire measurement period, whereas no downward motion is observed at station 1b, which is located only 115 m upstream (Fig. 9a). The horizontal compression at stations 1b–f could be related to buoyant calving on 29 July as well. During the afternoon high tide at 24 and 25 July, sudden longitudinal compression is observed between stations 1b–f (Fig. 8a). On such short timescales, ice is expected to behave as a brittle-elastic material (Benn et al.2017). Therefore, we interpret basal crevasse formation as the most likely cause of the longitudinal compression at the surface. The highest observed compression at high tide is also favourable for this interpretation as buoyant forces which trigger basal crevasse formation increase at high tide.

On the other hand, the uplift at 4b–f prior to calving on 20 July (Fig. 9d) is not entirely consistent with Murray et al. (2015) since they observed that the entire zone which lifted up subsequently calved off. However, James et al. (2014) observed similar behaviour on Helheim Glacier, using daily DEMs derived from terrestrial photographs, showing that the uplifting part of the terminus did not calve at once but broke off in multiple stages. Stations 2f, 3b, and 4b–f, which were all close to the area which calved on 20 July, showed downward motion after calving (Fig. 10c). If the part of the terminus that broke off on 20 July was indeed afloat before calving, the buoyant forces on the terminus became smaller after calving, which could explain the downward motion.

Another sign of buoyant calving is visible in Fig. 2a. The pile of white, clean ice fragments, located close to the moraine, was already present when the field campaign started on 1 July 2019. We speculate that this feature formed during a previous calving event. During detachment of an iceberg by buoyant calving, buoyant forces can push the iceberg above the calving front. A portion of the iceberg could then have fragmented and fallen on the glacier surface immediately behind the calving front. In the field campaigns prior to 2019, a similar feature was never observed.

5.3 Glacier thinning since 2013 and (partial) flotation

Bowdoin Glacier has experienced further thinning since the front stabilized to its new position in 2013. The region of strongest thinning (dark red in Fig. 4) coincides with the region of largest observed vertical tidal response in 2019 (yellow in Fig. 11). A surface depression in this region is clearly visible in the field, with the lowest ice cliff located at the moraine. Because the strongest thinned area also coincides with the shear zone, the large velocity gradients likely caused this surface depression by dynamic thinning. A similar case was reported by Alley et al. (2019), who used satellite data to show that high shear resulted in surface depressions. Their observations suggest that the locally thinned ice was subsequently pushed upward by buoyant forces, and basal troughs formed beneath the depressions. Plumes were observed to focus into these basal troughs, which amplified melt locally and thinned these areas further. This proposed shear thinning mechanism agrees with our observations at Bowdoin Glacier, where a plume has been clearly visible on the sea surface close to the moraine during field campaigns in 2015–2017 (Jouvet et al.2017, 2018; van Dongen et al.2020c) and in early July during the field campaign in 2019 (picture not shown).

Significant vertical tidal modulation was first observed by GPS in July 2017 (Fig. 5). The mean and maximum tidal admittance were similar in July 2017 and 2019, although the GPS was located  55 m further away from the front in 2017 (Sect. 4.2). Because there was only one GPS installed close to the front in previous years, outside of the area which showed largest tidal response in 2019, it is difficult to conclude whether vertical tidal modulation changed since 2017.

5.4 A changing calving mechanism

Numerical modelling showed that an undercut is necessary in order to reproduce the initiation of the crevasse which led to the major calving event observed in 2017 (van Dongen et al.2020d). Furthermore, high-resolution terrestrial radar interferometry data revealed that crevasse opening prior to that calving event was fastest at low tide, which suggests a non-buoyant calving style (van Dongen et al.2020c). Additional modelling work identified the crevasse water level, and thus hydro-fracturing, as a key driver of opening rates (van Dongen et al.2020c). Unlike the deep and most likely water-filled surface crevasses which formed prior to the observed calving events in 2015 and 2017 (Fig. 2), no precursor crevasse was visible in the field prior to the calving events in July 2019. This suggests that the events in July 2019 were not triggered by extensional stress at the glacier surface but resulted from basal crevasse propagation due to buoyant flexure instead.

Our large-scale calving event inventory is consistent with a changing calving mechanism from hydro-fracturing-induced and undercutting-induced calving towards buoyant calving. Since the precursor surface crevasse in 2017 was not visible in satellite imagery, we cannot use satellite imagery to directly conclude whether precursor-free calving events happened in previous years as well. However, the timing of observed large-scale calving events may help to distinguish plausible calving mechanisms. Initiation and propagation of surface crevasses are promoted by undercutting and hydro-fracturing, which depend on external forcings such as surface and submarine melt. Therefore, they are expected to follow a seasonal pattern (e.g.  Medrzycka et al.2016). Contrarily, buoyant calving does not depend as directly on seasonal variations.

There is a large variation in the cumulative area loss by calving detected in each year in our satellite-derived calving inventory (Fig. 12), which has two possible explanations. Firstly, the low cumulative percentage of calved area reported for 2017 (44 %) is likely due to the front advance which occurred in 2017 (Fig. 1), which suggests that the calving rate was smaller in 2017, such that the averaged annual ice discharge for 2015–2019 overestimates the frontal ablation in 2017. Similarly, the front retreat in 2016 and 2019 can explain the high reported cumulative area loss relative to annual discharge in those years ( 80 %). Secondly, our inventory aims to study large-scale calving events. Small calving events cannot be detected from low-resolution satellite imagery. Minowa et al. (2019) analysed calving-generated tsunami waves and detected 11 calving events per day from 11 to 21 July 2015 and 15 per day from 15 to 30 July 2016, whereas we did not detect any calving events in these periods. As such, variations in area loss by small-scale calving events could also explain part of the variation in undetected area loss in each year.

Major calving events ( 25 % of the estimated yearly ice discharge) occurred on 1 May 2018 and 19 March 2019 (Fig. 12). These calving events are unlikely induced by hydro-fracturing of surface crevasses as it is improbable that surface melt occurred. Furthermore, warm Atlantic water is not available in winter since the glacier flows into a fjord shallower than 200 m, which means that substantially large submarine melting capable of destabilizing the front by undercutting is expected to start once fjord circulation is increased by subglacial meltwater discharge (Sakakibara and Sugiyama2020).

A major calving event ( 20 %) was also observed on 4 May 2015, prior to surface melt, without a surface crevasse visible in time lapse imagery (Fig. S2a–b). New sonar data collected close to the front (van Dongen et al.2020c; not included in Fig. 1b) show that the fjord bed topography is seaward-sloping at the current front position before sloping upward towards the bed bump where the front was located in 2007. The winter advance therefore relocated the front to a deeper part of the fjord in 2015, which could have induced temporary flotation of the front and buoyant calving. A similar mechanism of buoyant calving triggered by winter advance can also have caused the 12 % calving event which occurred around 31 December 2019 (Fig. 12).

The relative contribution of calving outside of the melt season has increased since 2018 (Fig. 12). These calving events were most likely not melt-driven but mechanically driven in response to buoyant flexure (James et al.2014). Although buoyant calving may have occurred in 2015 already, a change seems to have occurred towards buoyant calving as the dominant calving style since 2018. However, a longer time span of high-resolution ice motion data is necessary to confirm a switch towards buoyant calving. On Columbia Glacier (Alaska), Walter et al. (2010) found that calving behaviour changed from rather steady discharge of small icebergs to episodic release of large icebergs when the glacier's tongue became afloat. We do not see a similar trend in the calving inventory at Bowdoin Glacier, which could be due to the different flotation conditions. Whereas the entire last 2 km of Columbia Glacier became afloat, the eastern marginal area at Bowdoin Glacier is still grounded.

6 Conclusion and outlook

This study investigated calving processes at Bowdoin Glacier, north-western Greenland, by combining in situ GPS measurements and remote-sensing data from 2015–2019. Previous studies showed that in July 2015 and July 2017, large-scale calving events on Bowdoin Glacier were triggered by surface crevasses, facilitated by melt-undercutting, and propagated by hydro-fracturing (Jouvet et al.2017; van Dongen et al.2020c, d). Our new observations suggest that the calving behaviour of Bowdoin Glacier may have changed since then towards predominantly buoyant calving in response to dynamic thinning. We found several signs that part of the terminus has ungrounded since 2017:

  • Semi-diurnal tide-modulated vertical motion has been observed since July 2017, after years without significant tidal uplift.

  • In July 2019, the strongest tidal modulation is observed in the shear zone, coinciding with the area of strongest thinning.

  • Whereas GPS measurements suggested that basal separation occurred during speed-ups in 2015, signs of basal separation are no longer visible during a speed-up in 2019 for most GPS stations, which suggests that this area was not grounded.

Furthermore, our data suggest that buoyant calving recently occurred:

  • Major calving events in July 2015 and 2017 were announced by deep surface crevasses, whereas no precursor was observed prior to two large calving events in July 2019.

  • GPS measurements during and prior to calving in July 2019 are consistent with a calving mechanism dominated by buoyant flexure, resulting in upward rotation of ice that has reached flotation.

  • Our inventory shows that large-scale calving events became more frequent outside of the melt season since 2018.

As Bowdoin Glacier's terminus is located on an overdeepened bedrock, further thinning may increase the frequency of buoyant calving events and induce glacier retreat until the terminus reaches the next bedrock bump, approximately 1.2 km upstream of its current position (Fig. 1b). To get more insight on Bowdoin Glacier's sensitivity to sustained thinning and external forcings, one would need to perform numerical simulations that resolve spatial and temporal variations in flotation conditions, similar to Todd et al. (2019). Dynamic thinning is commonly observed on outlet glaciers of the Greenland and Antarctic ice sheets (Pritchard et al.2009; IMBIE Team2019), and there is a large potential for future dynamic thinning (Price et al.2011; Felikson et al.2017). A dynamic-thinning-induced transition to buoyant calving may thus be expected for many glaciers worldwide. Our study highlights the importance of representing the full range of calving mechanisms observed in nature to yield reliable projections of future ice sheet mass loss by retreat of outlet glaciers. Although high-resolution models have recently been developed that are capable of reproducing different calving styles (e.g.  Benn et al.2017), the major challenge will be to translate these findings into calving laws that improve long-term projections of ice sheet mass loss.

Data availability

The UAV data collected in 2015 are available at Jouvet et al. (2019). The time lapse imagery, GPS network data, and the UAV data collected in 2017 and 2019 have been submitted to ETH Zurich's Research Collection with the DOIs https://doi.org/10.3929/ethz-b-000455251 (Funk et al.2020a), https://doi.org/10.3929/ethz-b-000455331 (Funk et al.2020b), https://doi.org/10.3929/ethz-b-000455215 (van Dongen et al.2020a), and https://doi.org/10.3929/ethz-b-000455210 (van Dongen et al.2020b), respectively.

Supplement

The supplement related to this article is available online at: https://doi.org/10.5194/tc-15-485-2021-supplement.

Author contributions

ECHvD, GJ, MF, and FW designed the study. MF, GJ, FW, and SS organized the field campaign at Bowdoin Glacier. GPS stations were designed and prepared by GJ, AB, ECHvD, and FL. ECHvD, FL, and AB installed the GPS network with support from SS and EAP, and the data were processed by GJ. SS installed the additional GPS in 2015–2019 and was responsible for processing its data. JS processed Copernicus Sentinel-2 data with Sentinelflow (https://doi.org/10.5281/zenodo.1774659), and SL processed Sentinel-1 imagery. ECHvD analysed the data and drafted the manuscript with support from GJ, SS, EAP, MF, DIB, and FW, and all authors contributed to the final version.

Competing interests

The authors declare that they have no conflict of interest.

Acknowledgements

We thank the members of the field campaigns on Bowdoin Glacier, in particular Joachim Wassermann, who assisted in maintaining the GPS network in 2019. We wish to acknowledge Toku Oshima and Kim Petersen for assistance with field activities in Qaanaaq. We also thank Thomas Wyder for preparing the GPS devices for installation on the glacier surface and Amaury Dehecq for assistance with DEM coregistration.

Financial support

This research has been supported by the Alfred and Flora Spälti Fund and the ETH Zurich Foundation (Sun2ice; grant no. ETH-12 16-2); the Swiss National Science Foundation (grant nos. 200021-153179/1 and PP00P2_183719); the SPI Exploratory Grants 2018 awarded to Fabian Walter and Guillaume Jouvet; the Japanese Ministry of Education, Culture, Sports, Science and Technology through the GRENE Arctic Climate Research Project and the Arctic Challenge for Sustainability (ArCS) project; and by NERC (CALISMO: Calving Laws for Ice Sheet Models; grant no. NE/P011365/1).

Review statement

This paper was edited by Olaf Eisen and reviewed by Basile de Fleurian and one anonymous referee.

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The dynamic mass loss of tidewater glaciers is strongly linked to glacier calving. We study calving mechanisms under a thinning regime, based on 5 years of field and remote-sensing data of Bowdoin Glacier. Our data suggest that Bowdoin Glacier ungrounded recently, and its calving behaviour changed from calving due to surface crevasses to buoyancy-induced calving resulting from basal crevasses. This change may be a precursor to glacier retreat.