Articles | Volume 12, issue 9
https://doi.org/10.5194/tc-12-3045-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/tc-12-3045-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Dual-satellite (Sentinel-2 and Landsat 8) remote sensing of supraglacial lakes in Greenland
Andrew G. Williamson
CORRESPONDING AUTHOR
Scott Polar Research Institute, University of Cambridge, Cambridge, UK
Alison F. Banwell
Scott Polar Research Institute, University of Cambridge, Cambridge, UK
Cooperative Institute for Research in Environmental Sciences,
University of Colorado Boulder, Boulder, Colorado, USA
Ian C. Willis
Scott Polar Research Institute, University of Cambridge, Cambridge, UK
Cooperative Institute for Research in Environmental Sciences,
University of Colorado Boulder, Boulder, Colorado, USA
Neil S. Arnold
Scott Polar Research Institute, University of Cambridge, Cambridge, UK
Related authors
Rebecca Dell, Neil Arnold, Ian Willis, Alison Banwell, Andrew Williamson, Hamish Pritchard, and Andrew Orr
The Cryosphere, 14, 2313–2330, https://doi.org/10.5194/tc-14-2313-2020, https://doi.org/10.5194/tc-14-2313-2020, 2020
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A semi-automated method is developed from pre-existing work to track surface water bodies across Antarctic ice shelves over time, using data from Sentinel-2 and Landsat 8. This method is applied to the Nivlisen Ice Shelf for the 2016–2017 melt season. The results reveal two large linear meltwater systems, which hold 63 % of the peak total surface meltwater volume on 26 January 2017. These meltwater systems migrate towards the ice shelf front as the melt season progresses.
Naomi E. Ochwat, Ted A. Scambos, Alison F. Banwell, Robert S. Anderson, Michelle L. Maclennan, Ghislain Picard, Julia A. Shates, Sebastian Marinsek, Liliana Margonari, Martin Truffer, and Erin C. Pettit
The Cryosphere, 18, 1709–1731, https://doi.org/10.5194/tc-18-1709-2024, https://doi.org/10.5194/tc-18-1709-2024, 2024
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On the Antarctic Peninsula, there is a small bay that had sea ice fastened to the shoreline (
fast ice) for over a decade. The fast ice stabilized the glaciers that fed into the ocean. In January 2022, the fast ice broke away. Using satellite data we found that this was because of low sea ice concentrations and a high long-period ocean wave swell. We find that the glaciers have responded to this event by thinning, speeding up, and retreating by breaking off lots of icebergs at remarkable rates.
Emily Glen, Amber A. Leeson, Alison F. Banwell, Jennifer Maddalena, Diarmuid Corr, Brice Noël, and Malcolm McMillan
EGUsphere, https://doi.org/10.5194/egusphere-2024-23, https://doi.org/10.5194/egusphere-2024-23, 2024
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We compare surface meltwater features precisely mapped from optical satellite imagery in the Russell/Leverett glacier catchment in a high (2019) and low (2018) melt year. In the high melt year, we find that features form and drain at higher elevations, that small lakes are more common, and that slush is more widespread. Our study suggests that such under-studied features may have an impact in ice flow and supraglacial runoff, and thus on global sea level rise, in future, warmer, years.
Prateek Gantayat, Alison F. Banwell, Amber A. Leeson, James M. Lea, Dorthe Petersen, Noel Gourmelen, and Xavier Fettweis
Geosci. Model Dev., 16, 5803–5823, https://doi.org/10.5194/gmd-16-5803-2023, https://doi.org/10.5194/gmd-16-5803-2023, 2023
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We developed a new supraglacial hydrology model for the Greenland Ice Sheet. This model simulates surface meltwater routing, meltwater drainage, supraglacial lake (SGL) overflow, and formation of lake ice. The model was able to reproduce 80 % of observed lake locations and provides a good match between the observed and modelled temporal evolution of SGLs.
Ghislain Picard, Marion Leduc-Leballeur, Alison F. Banwell, Ludovic Brucker, and Giovanni Macelloni
The Cryosphere, 16, 5061–5083, https://doi.org/10.5194/tc-16-5061-2022, https://doi.org/10.5194/tc-16-5061-2022, 2022
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Using a snowpack radiative transfer model, we investigate in which conditions meltwater can be detected from passive microwave satellite observations from 1.4 to 37 GHz. In particular, we determine the minimum detectable liquid water content, the maximum depth of detection of a buried wet snow layer and the risk of false alarm due to supraglacial lakes. These results provide information for the developers of new, more advanced satellite melt products and for the users of the existing products.
Karla Boxall, Frazer D. W. Christie, Ian C. Willis, Jan Wuite, and Thomas Nagler
The Cryosphere, 16, 3907–3932, https://doi.org/10.5194/tc-16-3907-2022, https://doi.org/10.5194/tc-16-3907-2022, 2022
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Using high-spatial- and high-temporal-resolution satellite imagery, we provide the first evidence for seasonal flow variability of land ice draining to George VI Ice Shelf (GVIIS), Antarctica. Ultimately, our findings imply that other glaciers in Antarctica may be susceptible to – and/or currently undergoing – similar ice-flow seasonality, including at the highly vulnerable and rapidly retreating Pine Island and Thwaites glaciers.
Devon Dunmire, Alison F. Banwell, Nander Wever, Jan T. M. Lenaerts, and Rajashree Tri Datta
The Cryosphere, 15, 2983–3005, https://doi.org/10.5194/tc-15-2983-2021, https://doi.org/10.5194/tc-15-2983-2021, 2021
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Here, we automatically detect buried lakes (meltwater lakes buried below layers of snow) across the Greenland Ice Sheet, providing insight into a poorly studied meltwater feature. For 2018 and 2019, we compare areal extent of buried lakes. We find greater buried lake extent in 2019, especially in northern Greenland, which we attribute to late-summer surface melt and high autumn temperatures. We also provide evidence that buried lakes form via different processes across Greenland.
Corinne L. Benedek and Ian C. Willis
The Cryosphere, 15, 1587–1606, https://doi.org/10.5194/tc-15-1587-2021, https://doi.org/10.5194/tc-15-1587-2021, 2021
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The surface of the Greenland Ice Sheet contains thousands of surface lakes. These lakes can deliver water through cracks to the ice sheet base and influence the speed of ice flow. Here we look at instances of lakes draining in the middle of winter using the Sentinel-1 radar satellites. Winter-draining lakes can help us understand the mechanisms for lake drainages throughout the year and can point to winter movement of water that will impact our understanding of ice sheet hydrology.
Alison F. Banwell, Rajashree Tri Datta, Rebecca L. Dell, Mahsa Moussavi, Ludovic Brucker, Ghislain Picard, Christopher A. Shuman, and Laura A. Stevens
The Cryosphere, 15, 909–925, https://doi.org/10.5194/tc-15-909-2021, https://doi.org/10.5194/tc-15-909-2021, 2021
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Ice shelves are thick floating layers of glacier ice extending from the glaciers on land that buttress much of the Antarctic Ice Sheet and help to protect it from losing ice to the ocean. However, the stability of ice shelves is vulnerable to meltwater lakes that form on their surfaces during the summer. This study focuses on the northern George VI Ice Shelf on the western side of the AP, which had an exceptionally long and extensive melt season in 2019/2020 compared to the previous 31 seasons.
Rebecca Dell, Neil Arnold, Ian Willis, Alison Banwell, Andrew Williamson, Hamish Pritchard, and Andrew Orr
The Cryosphere, 14, 2313–2330, https://doi.org/10.5194/tc-14-2313-2020, https://doi.org/10.5194/tc-14-2313-2020, 2020
Short summary
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A semi-automated method is developed from pre-existing work to track surface water bodies across Antarctic ice shelves over time, using data from Sentinel-2 and Landsat 8. This method is applied to the Nivlisen Ice Shelf for the 2016–2017 melt season. The results reveal two large linear meltwater systems, which hold 63 % of the peak total surface meltwater volume on 26 January 2017. These meltwater systems migrate towards the ice shelf front as the melt season progresses.
James D. Kirkham, Kelly A. Hogan, Robert D. Larter, Neil S. Arnold, Frank O. Nitsche, Nicholas R. Golledge, and Julian A. Dowdeswell
The Cryosphere, 13, 1959–1981, https://doi.org/10.5194/tc-13-1959-2019, https://doi.org/10.5194/tc-13-1959-2019, 2019
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A series of huge (500 m wide, 50 m deep) channels were eroded by water flowing beneath Pine Island and Thwaites glaciers in the past. The channels are similar to canyon systems produced by floods of meltwater released beneath the Antarctic Ice Sheet millions of years ago. The spatial extent of the channels formed beneath Pine Island and Thwaites glaciers demonstrates significant quantities of water, possibly discharged from trapped subglacial lakes, flowed beneath these glaciers in the past.
Lindsey I. Nicholson, Michael McCarthy, Hamish D. Pritchard, and Ian Willis
The Cryosphere, 12, 3719–3734, https://doi.org/10.5194/tc-12-3719-2018, https://doi.org/10.5194/tc-12-3719-2018, 2018
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Ground-penetrating radar of supraglacial debris thickness is used to study local thickness variability. Freshly emergent debris cover appears to have higher skewness and kurtosis than more mature debris covers. Accounting for debris thickness variability in ablation models can result in markedly different ice ablation than is calculated using the mean debris thickness. Slope stability modelling reveals likely locations for locally thin debris with high ablation.
Conrad P. Koziol and Neil Arnold
The Cryosphere, 12, 971–991, https://doi.org/10.5194/tc-12-971-2018, https://doi.org/10.5194/tc-12-971-2018, 2018
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We model the summer acceleration of ice velocities at a land-terminating margin of the Greenland Ice Sheet. Model results compare favourably against GPS data, reflecting positively on the model components and the datasets used. When we run the model into the future, we find that summer velocities increase with increasing levels of surface melt but that changes in annual velocities may be limited.
Conrad P. Koziol and Neil Arnold
The Cryosphere, 11, 2783–2797, https://doi.org/10.5194/tc-11-2783-2017, https://doi.org/10.5194/tc-11-2783-2017, 2017
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We develop a new ice sheet model and couple it to an existing subglacial hydrology model. A workflow for initializing the coupled model at the start of summer is proposed and demonstrated on the Russell Glacier area of Western Greenland. This is a first step towards modelling ice velocities during the summer.
C. L. Fyffe, B. W. Brock, M. P. Kirkbride, D. W. F. Mair, N. S. Arnold, C. Smiraglia, G. Diolaiuti, and F. Diotri
The Cryosphere Discuss., https://doi.org/10.5194/tcd-9-5373-2015, https://doi.org/10.5194/tcd-9-5373-2015, 2015
Revised manuscript not accepted
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Dye-tracing of a debris-covered glacier revealed that its hydrological system was not similar to that of a debris-free glacier. Beneath the thick debris covering the lower glacier the drainage system was mainly inefficient, probably due lower sub-debris melt rates causing a lack of the large inputs required to open efficient channels. However, efficient channels opened by the large melt inputs from the debris-free areas did route water from the moulins above the thick debris.
N. S. Arnold, A. F. Banwell, and I. C. Willis
The Cryosphere, 8, 1149–1160, https://doi.org/10.5194/tc-8-1149-2014, https://doi.org/10.5194/tc-8-1149-2014, 2014
Related subject area
Discipline: Ice sheets | Subject: Remote Sensing
Change in grounding line location on the Antarctic Peninsula measured using a tidal motion offset correlation method
AWI-ICENet1: a convolutional neural network retracker for ice altimetry
Sentinel-1 detection of ice slabs on the Greenland Ice Sheet
A Framework for Automated Supraglacial Lake Detection and Depth Retrieval in ICESat-2 Photon Data Across the Greenland and Antarctic Ice Sheets
Mapping the extent of giant Antarctic icebergs with deep learning
Mapping Antarctic crevasses and their evolution with deep learning applied to satellite radar imagery
AutoTerm: an automated pipeline for glacier terminus extraction using machine learning and a “big data” repository of Greenland glacier termini
Recent changes in drainage route and outburst magnitude of the Russell Glacier ice-dammed lake, West Greenland
Grounding line retreat and tide-modulated ocean channels at Moscow University and Totten Glacier ice shelves, East Antarctica
Seasonal land-ice-flow variability in the Antarctic Peninsula
Empirical correction of systematic orthorectification error in Sentinel-2 velocity fields for Greenlandic outlet glaciers
A leading-edge-based method for correction of slope-induced errors in ice-sheet heights derived from radar altimetry
An empirical algorithm to map perennial firn aquifers and ice slabs within the Greenland Ice Sheet using satellite L-band microwave radiometry
Supraglacial lake bathymetry automatically derived from ICESat-2 constraining lake depth estimates from multi-source satellite imagery
Penetration of interferometric radar signals in Antarctic snow
Brief communication: Ice sheet elevation measurements from the Sentinel-3A and Sentinel-3B tandem phase
Using ICESat-2 and Operation IceBridge altimetry for supraglacial lake depth retrievals
Brief communication: Mapping Greenland's perennial firn aquifers using enhanced-resolution L-band brightness temperature image time series
Quantifying spatiotemporal variability of glacier algal blooms and the impact on surface albedo in southwestern Greenland
Aerogeophysical characterization of an active subglacial lake system in the David Glacier catchment, Antarctica
Measuring the location and width of the Antarctic grounding zone using CryoSat-2
Brief Communication: Update on the GPS reflection technique for measuring snow accumulation in Greenland
Improved GNSS-R bi-static altimetry and independent digital elevation models of Greenland and Antarctica from TechDemoSat-1
Melt in Antarctica derived from Soil Moisture and Ocean Salinity (SMOS) observations at L band
Sentinel-3 Delay-Doppler altimetry over Antarctica
The Reference Elevation Model of Antarctica
Assessment of altimetry using ground-based GPS data from the 88S Traverse, Antarctica, in support of ICESat-2
Coherent large beamwidth processing of radio-echo sounding data
Multi-channel and multi-polarization radar measurements around the NEEM site
Seasonal variations of the backscattering coefficient measured by radar altimeters over the Antarctic Ice Sheet
Recent dynamic changes on Fleming Glacier after the disintegration of Wordie Ice Shelf, Antarctic Peninsula
Benjamin J. Wallis, Anna E. Hogg, Yikai Zhu, and Andrew Hooper
The Cryosphere, 18, 4723–4742, https://doi.org/10.5194/tc-18-4723-2024, https://doi.org/10.5194/tc-18-4723-2024, 2024
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The grounding line, where ice begins to float, is an essential variable to understand ice dynamics, but in some locations it can be challenging to measure with established techniques. Using satellite data and a new method, Wallis et al. measure the grounding line position of glaciers and ice shelves in the Antarctic Peninsula and find retreats of up to 16.3 km have occurred since the last time measurements were made in the 1990s.
Veit Helm, Alireza Dehghanpour, Ronny Hänsch, Erik Loebel, Martin Horwath, and Angelika Humbert
The Cryosphere, 18, 3933–3970, https://doi.org/10.5194/tc-18-3933-2024, https://doi.org/10.5194/tc-18-3933-2024, 2024
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We present a new approach (AWI-ICENet1), based on a deep convolutional neural network, for analysing satellite radar altimeter measurements to accurately determine the surface height of ice sheets. Surface height estimates obtained with AWI-ICENet1 (along with related products, such as ice sheet height change and volume change) show improved and unbiased results compared to other products. This is important for the long-term monitoring of ice sheet mass loss and its impact on sea level rise.
Riley Culberg, Roger J. Michaelides, and Julie Z. Miller
The Cryosphere, 18, 2531–2555, https://doi.org/10.5194/tc-18-2531-2024, https://doi.org/10.5194/tc-18-2531-2024, 2024
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Ice slabs enhance meltwater runoff from the Greenland Ice Sheet. Therefore, it is important to understand their extent and change in extent over time. We present a new method for detecting ice slabs in satellite radar data, which we use to map ice slabs at 500 m resolution across the entire ice sheet in winter 2016–2017. Our results provide better spatial coverage and resolution than previous maps from airborne radar and lay the groundwork for long-term monitoring of ice slabs from space.
Philipp Sebastian Arndt and Helen Amanda Fricker
EGUsphere, https://doi.org/10.5194/egusphere-2024-1156, https://doi.org/10.5194/egusphere-2024-1156, 2024
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We develop a method for ice-sheet-scale retrieval of supraglacial meltwater depths using ICESat-2 photon data. We report results for two drainage basins in Greenland and Antarctica during two contrasting melt seasons, where our method reveals a total of 1249 lakes up to 25 m deep. The large volume and wide variety of accurate depth data that our method provides enables the development of data-driven models of meltwater volumes in satellite imagery.
Anne Braakmann-Folgmann, Andrew Shepherd, David Hogg, and Ella Redmond
The Cryosphere, 17, 4675–4690, https://doi.org/10.5194/tc-17-4675-2023, https://doi.org/10.5194/tc-17-4675-2023, 2023
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In this study, we propose a deep neural network to map the extent of giant Antarctic icebergs in Sentinel-1 images automatically. While each manual delineation requires several minutes, our U-net takes less than 0.01 s. In terms of accuracy, we find that U-net outperforms two standard segmentation techniques (Otsu, k-means) in most metrics and is more robust to challenging scenes with sea ice, coast and other icebergs. The absolute median deviation in iceberg area across 191 images is 4.1 %.
Trystan Surawy-Stepney, Anna E. Hogg, Stephen L. Cornford, and David C. Hogg
The Cryosphere, 17, 4421–4445, https://doi.org/10.5194/tc-17-4421-2023, https://doi.org/10.5194/tc-17-4421-2023, 2023
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The presence of crevasses in Antarctica influences how the ice sheet behaves. It is important, therefore, to collect data on the spatial distribution of crevasses and how they are changing. We present a method of mapping crevasses from satellite radar imagery and apply it to 7.5 years of images, covering Antarctica's floating and grounded ice. We develop a method of measuring change in the density of crevasses and quantify increased fracturing in important parts of the West Antarctic Ice Sheet.
Enze Zhang, Ginny Catania, and Daniel T. Trugman
The Cryosphere, 17, 3485–3503, https://doi.org/10.5194/tc-17-3485-2023, https://doi.org/10.5194/tc-17-3485-2023, 2023
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Glacier termini are essential for studying why glaciers retreat, but they need to be mapped automatically due to the volume of satellite images. Existing automated mapping methods have been limited due to limited automation, lack of quality control, and inadequacy in highly diverse terminus environments. We design a fully automated, deep-learning-based method to produce termini with quality control. We produced 278 239 termini in Greenland and provided a way to deliver new termini regularly.
Mads Dømgaard, Kristian K. Kjeldsen, Flora Huiban, Jonathan L. Carrivick, Shfaqat A. Khan, and Anders A. Bjørk
The Cryosphere, 17, 1373–1387, https://doi.org/10.5194/tc-17-1373-2023, https://doi.org/10.5194/tc-17-1373-2023, 2023
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Sudden releases of meltwater from glacier-dammed lakes can influence ice flow, cause flooding hazards and landscape changes. This study presents a record of 14 drainages from 2007–2021 from a lake in west Greenland. The time series reveals how the lake fluctuates between releasing large and small amounts of drainage water which is caused by a weakening of the damming glacier following the large events. We also find a shift in the water drainage route which increases the risk of flooding hazards.
Tian Li, Geoffrey J. Dawson, Stephen J. Chuter, and Jonathan L. Bamber
The Cryosphere, 17, 1003–1022, https://doi.org/10.5194/tc-17-1003-2023, https://doi.org/10.5194/tc-17-1003-2023, 2023
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The Totten and Moscow University glaciers in East Antarctica have the potential to make a significant contribution to future sea-level rise. We used a combination of different satellite measurements to show that the grounding lines have been retreating along the fast-flowing ice streams across these two glaciers. We also found two tide-modulated ocean channels that might open new pathways for the warm ocean water to enter the ice shelf cavity.
Karla Boxall, Frazer D. W. Christie, Ian C. Willis, Jan Wuite, and Thomas Nagler
The Cryosphere, 16, 3907–3932, https://doi.org/10.5194/tc-16-3907-2022, https://doi.org/10.5194/tc-16-3907-2022, 2022
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Using high-spatial- and high-temporal-resolution satellite imagery, we provide the first evidence for seasonal flow variability of land ice draining to George VI Ice Shelf (GVIIS), Antarctica. Ultimately, our findings imply that other glaciers in Antarctica may be susceptible to – and/or currently undergoing – similar ice-flow seasonality, including at the highly vulnerable and rapidly retreating Pine Island and Thwaites glaciers.
Thomas R. Chudley, Ian M. Howat, Bidhyananda Yadav, and Myoung-Jong Noh
The Cryosphere, 16, 2629–2642, https://doi.org/10.5194/tc-16-2629-2022, https://doi.org/10.5194/tc-16-2629-2022, 2022
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Sentinel-2 images are subject to distortion due to orthorectification error, which makes it difficult to extract reliable glacier velocity fields from images from different orbits. Here, we use a complete record of velocity fields at four Greenlandic outlet glaciers to empirically estimate the systematic error, allowing us to correct cross-track glacier velocity fields to a comparable accuracy to other medium-resolution satellite datasets.
Weiran Li, Cornelis Slobbe, and Stef Lhermitte
The Cryosphere, 16, 2225–2243, https://doi.org/10.5194/tc-16-2225-2022, https://doi.org/10.5194/tc-16-2225-2022, 2022
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This study proposes a new method for correcting the slope-induced errors in satellite radar altimetry. The slope-induced errors can significantly affect the height estimations of ice sheets if left uncorrected. This study applies the method to radar altimetry data (CryoSat-2) and compares the performance with two existing methods. The performance is assessed by comparison with independent height measurements from ICESat-2. The assessment shows that the method performs promisingly.
Julie Z. Miller, Riley Culberg, David G. Long, Christopher A. Shuman, Dustin M. Schroeder, and Mary J. Brodzik
The Cryosphere, 16, 103–125, https://doi.org/10.5194/tc-16-103-2022, https://doi.org/10.5194/tc-16-103-2022, 2022
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We use L-band brightness temperature imagery from NASA's Soil Moisture Active Passive (SMAP) satellite to map the extent of perennial firn aquifer and ice slab areas within the Greenland Ice Sheet. As Greenland's climate continues to warm and seasonal surface melting increases in extent, intensity, and duration, quantifying the possible rapid expansion of perennial firn aquifers and ice slab areas has significant implications for understanding the stability of the Greenland Ice Sheet.
Rajashree Tri Datta and Bert Wouters
The Cryosphere, 15, 5115–5132, https://doi.org/10.5194/tc-15-5115-2021, https://doi.org/10.5194/tc-15-5115-2021, 2021
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The ICESat-2 laser altimeter can detect the surface and bottom of a supraglacial lake. We introduce the Watta algorithm, automatically calculating lake surface, corrected bottom, and (sub-)surface ice at high resolution adapting to signal strength. ICESat-2 depths constrain full lake depths of 46 lakes over Jakobshavn glacier using multiple sources of imagery, including very high-resolution Planet imagery, used for the first time to extract supraglacial lake depths empirically using ICESat-2.
Helmut Rott, Stefan Scheiblauer, Jan Wuite, Lukas Krieger, Dana Floricioiu, Paola Rizzoli, Ludivine Libert, and Thomas Nagler
The Cryosphere, 15, 4399–4419, https://doi.org/10.5194/tc-15-4399-2021, https://doi.org/10.5194/tc-15-4399-2021, 2021
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We studied relations between interferometric synthetic aperture radar (InSAR) signals and snow–firn properties and tested procedures for correcting the penetration bias of InSAR digital elevation models at Union Glacier, Antarctica. The work is based on SAR data of the TanDEM-X mission, topographic data from optical sensors and field measurements. We provide new insights on radar signal interactions with polar snow and show the performance of penetration bias retrievals using InSAR coherence.
Malcolm McMillan, Alan Muir, and Craig Donlon
The Cryosphere, 15, 3129–3134, https://doi.org/10.5194/tc-15-3129-2021, https://doi.org/10.5194/tc-15-3129-2021, 2021
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We evaluate the consistency of ice sheet elevation measurements made by two satellites: Sentinel-3A and Sentinel-3B. We analysed data from the unique
tandemphase of the mission, where the two satellites flew 30 s apart to provide near-instantaneous measurements of Earth's surface. Analysing these data over Antarctica, we find no significant difference between the satellites, which is important for demonstrating that they can be used interchangeably for long-term ice sheet monitoring.
Zachary Fair, Mark Flanner, Kelly M. Brunt, Helen Amanda Fricker, and Alex Gardner
The Cryosphere, 14, 4253–4263, https://doi.org/10.5194/tc-14-4253-2020, https://doi.org/10.5194/tc-14-4253-2020, 2020
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Ice on glaciers and ice sheets may melt and pond on ice surfaces in summer months. Detection and observation of these meltwater ponds is important for understanding glaciers and ice sheets, and satellite imagery has been used in previous work. However, image-based methods struggle with deep water, so we used data from the Ice, Clouds, and land Elevation Satellite-2 (ICESat-2) and the Airborne Topographic Mapper (ATM) to demonstrate the potential for lidar depth monitoring.
Julie Z. Miller, David G. Long, Kenneth C. Jezek, Joel T. Johnson, Mary J. Brodzik, Christopher A. Shuman, Lora S. Koenig, and Ted A. Scambos
The Cryosphere, 14, 2809–2817, https://doi.org/10.5194/tc-14-2809-2020, https://doi.org/10.5194/tc-14-2809-2020, 2020
Shujie Wang, Marco Tedesco, Patrick Alexander, Min Xu, and Xavier Fettweis
The Cryosphere, 14, 2687–2713, https://doi.org/10.5194/tc-14-2687-2020, https://doi.org/10.5194/tc-14-2687-2020, 2020
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Glacial algal blooms play a significant role in darkening the Greenland Ice Sheet during summertime. The dark pigments generated by glacial algae could substantially reduce the bare ice albedo and thereby enhance surface melt. We used satellite data to map the spatial distribution of glacial algae and characterized the seasonal growth pattern and interannual trends of glacial algae in southwestern Greenland. Our study is important for bridging microbial activities with ice sheet mass balance.
Laura E. Lindzey, Lucas H. Beem, Duncan A. Young, Enrica Quartini, Donald D. Blankenship, Choon-Ki Lee, Won Sang Lee, Jong Ik Lee, and Joohan Lee
The Cryosphere, 14, 2217–2233, https://doi.org/10.5194/tc-14-2217-2020, https://doi.org/10.5194/tc-14-2217-2020, 2020
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An extensive aerogeophysical survey including two active subglacial lakes was conducted over David Glacier, Antarctica. Laser altimetry shows that the lakes were at a highstand, while ice-penetrating radar has no unique signature for the lakes when compared to the broader basal environment. This suggests that active subglacial lakes are more likely to be part of a distributed subglacial hydrological system than to be discrete reservoirs, which has implications for future surveys and drilling.
Geoffrey J. Dawson and Jonathan L. Bamber
The Cryosphere, 14, 2071–2086, https://doi.org/10.5194/tc-14-2071-2020, https://doi.org/10.5194/tc-14-2071-2020, 2020
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The grounding zone is where grounded ice begins to float and is the boundary at which the ocean has the most significant influence on the inland ice sheet. Here, we present the results of mapping the grounding zone of Antarctic ice shelves from CryoSat-2 radar altimetry. We found good agreement with previous methods that mapped the grounding zone. We also managed to map areas of Support Force Glacier and the Doake Ice Rumples (Filchner–Ronne Ice Shelf), which were previously incompletely mapped.
Kristine M. Larson, Michael MacFerrin, and Thomas Nylen
The Cryosphere, 14, 1985–1988, https://doi.org/10.5194/tc-14-1985-2020, https://doi.org/10.5194/tc-14-1985-2020, 2020
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Reflected GPS signals can be used to measure snow accumulation. The GPS method is accurate and has a footprint that is larger than that of many other methods. This short note makes available 9 years of daily snow accumulation measurements from Greenland that were derived from reflected GPS signals. It also provides information about open-source software that the cryosphere community can use to analyze other datasets.
Jessica Cartwright, Christopher J. Banks, and Meric Srokosz
The Cryosphere, 14, 1909–1917, https://doi.org/10.5194/tc-14-1909-2020, https://doi.org/10.5194/tc-14-1909-2020, 2020
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This study uses reflected GPS signals to measure ice at the South Pole itself for the first time. These measurements are essential to understand the interaction of the ice with the Earth’s physical systems. Orbital constraints mean that satellites are usually unable to measure in the vicinity of the South Pole itself. This is overcome here by using data obtained by UK TechDemoSat-1. Data are processed to obtain the height of glacial ice across the Greenland and Antarctic ice sheets.
Marion Leduc-Leballeur, Ghislain Picard, Giovanni Macelloni, Arnaud Mialon, and Yann H. Kerr
The Cryosphere, 14, 539–548, https://doi.org/10.5194/tc-14-539-2020, https://doi.org/10.5194/tc-14-539-2020, 2020
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To study the coast and ice shelves affected by melt in Antarctica during the austral summer, we exploited the 1.4 GHz radiometric satellite observations. We showed that this frequency provides additional information on melt occurrence and on the location of the water in the snowpack compared to the 19 GHz observations. This opens an avenue for improving the melting season monitoring with a combination of both frequencies and exploring the possibility of deep-water detection in the snowpack.
Malcolm McMillan, Alan Muir, Andrew Shepherd, Roger Escolà, Mònica Roca, Jérémie Aublanc, Pierre Thibaut, Marco Restano, Américo Ambrozio, and Jérôme Benveniste
The Cryosphere, 13, 709–722, https://doi.org/10.5194/tc-13-709-2019, https://doi.org/10.5194/tc-13-709-2019, 2019
Short summary
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Melting of the Greenland and Antarctic ice sheets is one of the main causes of current sea level rise. Understanding ice sheet change requires large-scale systematic satellite monitoring programmes. This study provides the first assessment of a new long-term source of measurements, from Sentinel-3 satellite altimetry. We estimate the accuracy of Sentinel-3 across Antarctica, show that the satellite can detect regions that are rapidly losing ice, and identify signs of subglacial lake activity.
Ian M. Howat, Claire Porter, Benjamin E. Smith, Myoung-Jong Noh, and Paul Morin
The Cryosphere, 13, 665–674, https://doi.org/10.5194/tc-13-665-2019, https://doi.org/10.5194/tc-13-665-2019, 2019
Short summary
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The Reference Elevation Model of Antarctica (REMA) is the first continental-scale terrain map at less than 10 m resolution, and the first with a time stamp, enabling measurements of elevation change. REMA is constructed from over 300 000 individual stereoscopic elevation models (DEMs) extracted from submeter-resolution satellite imagery. REMA is vertically registered to satellite altimetry, resulting in errors of less than 1 m over most of its area and relative uncertainties of decimeters.
Kelly M. Brunt, Thomas A. Neumann, and Christopher F. Larsen
The Cryosphere, 13, 579–590, https://doi.org/10.5194/tc-13-579-2019, https://doi.org/10.5194/tc-13-579-2019, 2019
Short summary
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This paper provides an assessment of new GPS elevation data collected near the South Pole, Antarctica, that will ultimately be used for ICESat-2 satellite elevation data validation. Further, using the new ground-based GPS data, this paper provides an assessment of airborne lidar elevation data collected between 2014 and 2017, which will also be used for ICESat-2 data validation.
Anton Heister and Rolf Scheiber
The Cryosphere, 12, 2969–2979, https://doi.org/10.5194/tc-12-2969-2018, https://doi.org/10.5194/tc-12-2969-2018, 2018
Short summary
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We provide a method based on Fourier analysis of coherent radio-echo sounding data for analyzing angular back-scattering characteristics of the ice sheet and bed. The characteristics can be used for the bed roughness estimation and detection of subglacial water. The method also offers improved estimation of the internal layers' tilt. The research is motivated by a need for a tool for training dictionaries for model-based tomographic focusing of multichannel coherent radio-echo sounders.
Jilu Li, Jose A. Vélez González, Carl Leuschen, Ayyangar Harish, Prasad Gogineni, Maurine Montagnat, Ilka Weikusat, Fernando Rodriguez-Morales, and John Paden
The Cryosphere, 12, 2689–2705, https://doi.org/10.5194/tc-12-2689-2018, https://doi.org/10.5194/tc-12-2689-2018, 2018
Short summary
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Ice properties inferred from multi-polarization measurements can provide insight into ice strain, viscosity, and ice flow. The Center for Remote Sensing of Ice Sheets used a ground-based radar for multi-channel and multi-polarization measurements at the NEEM site. This paper describes the radar system, antenna configurations, data collection, and processing and analysis of this data set. Comparisons between the radar observations, simulations, and ice core fabric data are in very good agreement.
Fifi Ibrahime Adodo, Frédérique Remy, and Ghislain Picard
The Cryosphere, 12, 1767–1778, https://doi.org/10.5194/tc-12-1767-2018, https://doi.org/10.5194/tc-12-1767-2018, 2018
Short summary
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In Antarctica, the seasonal cycle of the backscatter behaves differently at high and low frequencies, peaking in winter and in summer, respectively. At the intermediate frequency, some areas behave analogously to low frequency in terms of the seasonal cycle, but other areas behave analogously to high frequency. This calls into question the empirical relationships often used to correct elevation changes from radar penetration into the snowpack using backscatter.
Peter Friedl, Thorsten C. Seehaus, Anja Wendt, Matthias H. Braun, and Kathrin Höppner
The Cryosphere, 12, 1347–1365, https://doi.org/10.5194/tc-12-1347-2018, https://doi.org/10.5194/tc-12-1347-2018, 2018
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Fleming Glacier is the biggest tributary glacier of the former Wordie Ice Shelf. Radar satellite data and airborne ice elevation measurements show that the glacier accelerated by ~27 % between 2008–2011 and that ice thinning increased by ~70 %. This was likely a response to a two-phase ungrounding of the glacier tongue between 2008 and 2011, which was mainly triggered by increased basal melt during two strong upwelling events of warm circumpolar deep water.
Cited articles
Andrews, L. C., Catania, G. A., Hoffman, M. J., Gulley, J. D., Lüthi, M.
P., Ryser, C., Hawley, R. L., and Neumann, T. A.: Direct observations of
evolving subglacial drainage beneath the Greenland Ice Sheet, Nature, 514,
80–83, https://doi.org/10.1038/nature13796, 2014.
Arnold, N. S., Banwell, A. F., and Willis, I. C.: High-resolution modelling
of the seasonal evolution of surface water storage on the Greenland Ice
Sheet, The Cryosphere, 8, 1149–1160, https://doi.org/10.5194/tc-8-1149-2014,
2014.
Banwell, A. F., Arnold, N. S., Willis, I. C., Tedesco, M., and Ahlstrøm,
A. P.: Modeling supraglacial water routing and lake filling on the Greenland
Ice Sheet, J. Geophys. Res.-Earth, 117, F04012,
https://doi.org/10.1029/2012JF002393, 2012.
Banwell, A. F., Willis, I. C., and Arnold, N. S.: Modeling subglacial water
routing at Paakitsoq, W Greenland, J. Geophys. Res.-Earth, 118, 1282–1295,
https://doi.org/10.1002/jgrf.20093, 2013.
Banwell, A. F., Caballero, M., Arnold, N. S., Glasser, N. F., Cathles, L. M.,
and MacAyeal, D. R.: Supraglacial lakes on the Larsen B ice shelf,
Antarctica, and at Paakitsoq, West Greenland: a comparative study, Ann.
Glaciol., 55, 1–8, https://doi.org/10.3189/2014AoG66A049, 2014.
Banwell, A., Hewitt, I., Willis, I., and Arnold, N.: Moulin density controls
drainage development beneath the Greenland ice sheet, J. Geophys. Res.-Earth,
121, 2248–2269, https://doi.org/10.1002/2015jf003801, 2016.
Bartholomew, I., Nienow, P., Mair, D., Hubbard, A., King, M. A., and Sole,
A.: Seasonal evolution of subglacial drainage and acceleration in a Greenland
outlet glacier, Nat. Geosci., 3, 408–411, https://doi.org/10.1038/ngeo863,
2010.
Bartholomew, I. D., Nienow, P., Sole, A., Mair, D., Cowton, T., King, M. A.,
and Palmer, S.: Seasonal variations in Greenland Ice Sheet motion: Inland
extent and behaviour at higher elevations, Earth Planet. Sc. Lett., 307,
271–278, https://doi.org/10.1016/j.epsl.2011.04.014, 2011a.
Bartholomew, I., Nienow, P., Sole, A., Mair, D., Cowton, T., Palmer, S., and
Wadham, J.: Supraglacial forcing of subglacial drainage in the ablation zone
of the Greenland ice sheet, Geophys. Res. Lett., 38, L08502,
https://doi.org/10.1029/2011GL047063, 2011b.
Bartholomew, I., Nienow, P., Sole, A., Mair, D., Cowton, T., and King, M. A.:
Short-term variability in Greenland Ice Sheet motion forced by time-varying
meltwater drainage: Implications for the relationship between subglacial
drainage system behavior and ice velocity, J. Geophys. Res.-Earth, 117,
F03002, https://doi.org/10.1029/2011jf002220, 2012.
Bougamont, M., Christoffersen, P., Hubbard, A. L., Fitzpatrick, A. A., Doyle,
S. H., and Carter, S. P.: Sensitive response of the Greenland Ice Sheet to
surface melt drainage over a soft bed, Nat. Comm., 5, 5052,
https://doi.org/10.1038/ncomms6052, 2014.
Box, J. E. and Ski, K.: Remote sounding of Greenland supraglacial melt lakes:
implications for subglacial hydraulics, J. Glaciol., 53, 257–265,
https://doi.org/10.3189/172756507782202883, 2007.
Chandler, D. M., Wadham, J. L., Lis, G. P., Cowton, T., Sole, A.,
Bartholomew, I., Telling, J., Nienow, P., Bagshaw, E. B., Mair, D., Vinen,
S., and Hubbard, A.: Evolution of the subglacial drainage system beneath the
Greenland Ice Sheet revealed by tracers, Nat. Geosci., 6, 195–198,
https://doi.org/10.1038/ngeo1737, 2013.
Chen, C., Howat, I. M., and de la Pe na, S.: Formation and development of
supraglacial lakes in the percolation zone of the Greenland ice sheet, J.
Glaciol., 63, 847–853, https://doi.org/10.1017/jog.2017.50, 2017.
Christoffersen, P., Bougamont, M, Hubbard, A., Doyle, S. H., Grigsby, S., and
Pettersson, R.: Cascading lake drainage on the Greenland Ice Sheet triggered
by tensile shock and fracture, Nat. Commun., 9, 1064,
https://doi.org/10.1038/s41467-018-03420-8, 2018.
Chu, V.: Greenland ice sheet hydrology: A review, Prog. Phys. Geog., 38,
19–54, https://doi.org/10.1177/0309133313507075, 2014.
Colgan, W., Steffen, K., McLamb, W. S., Abdalati, W., Rajaram, H., Motyka,
R., Phillips, T., and Anderson, R.: An increase in crevasse extent, West
Greenland: Hydrologic implications, Geophys. Res. Lett., 38, L18503,
https://doi.org/10.1029/2011GL048491, 2011.
Cooley, S. W. and Christoffersen, P.: Observation bias correction reveals
more rapidly draining lakes on the Greenland Ice Sheet, J. Geophys.
Res.-Earth, 122, 1867–1881, https://doi.org/10.1002/2017JF004255, 2017.
Cowton, T., Nienow, P., Sole, A., Wadham, J., Lis, G., Bartholomew, I., Mair,
D., and Chandler, D.: Evolution of drainage system morphology at a
land-terminating Greenlandic outlet glacier, J. Geophys. Res.-Earth, 118,
29–41, https://doi.org/10.1029/2012jf002540, 2013.
Das, S. B., Joughin, I., Behn, M. D., Howat, I. M., King, M. A., Lizarralde,
D., and Bhatia, M. P.: Fracture propagation to the base of the Greenland Ice
Sheet during supraglacial lake drainage, Science, 320, 778–781,
https://doi.org/10.1126/science.1153360, 2008.
de Fleurian, B., Morlighem, M., Seroussi, H., Rignot, E., van den Broeke, M.
R., Munneke, P. K., Mouginot, J., Smeets, P. C. J. P., and Tedstone, A. J.: A
modeling study of the effect of runoff variability on the effective pressure
beneath Russell Glacier, West Greenland, J. Geophys. Res.-Earth, 121,
1834–1848, https://doi.org/10.1002/2016JF003842, 2016.
Dow, C. F., Kulessa, B., Rutt, I. C., Doyle, S. H., and Hubbard, A.: Upper
bounds on subglacial channel development for interior regions of the
Greenland ice sheet, J. Glaciol., 60, 1044–1052,
https://doi.org/10.3189/2014JoG14J093, 2014.
Doyle, S. H., Hubbard, A. L., Dow, C. F., Jones, G. A., Fitzpatrick, A.,
Gusmeroli, A., Kulessa, B., Lindback, K., Pettersson, R., and Box, J. E.: Ice
tectonic deformation during the rapid in situ drainage of a supraglacial lake
on the Greenland Ice Sheet, The Cryosphere, 7, 129–140,
https://doi.org/10.5194/tc-7-129-2013, 2013.
Doyle, S. H., Hubbard, A., Fitzpatrick, A. A. W., van As, D., Mikkelsen, A.
B., Pettersson, R., and Hubbard, B.: Persistent flow acceleration within the
interior of the Greenland ice sheet, Geophys. Res. Lett., 41, 899–905,
https://doi.org/10.1002/2013GL058933, 2014.
Doyle, S. H., Hubbard, B., Christoffersen, P., Young, T. J., Hofstede, C.,
Bougamont, M., Box, J. E., and Hubbard, A.: Physical conditions of fast
glacier flow: 1. Measurements from boreholes drilled to the bed of Store
Glacier, West Greenland, J. Geophys. Res.-Earth, 123,
https://doi.org/10.1002/2017JF004529, 2018.
Everett, A., Murray, T., Selmes, N., Rutt, I. C., Luckman, A., James, T. D.,
Clason, C., O'Leary, M., Karunarathna, H., Moloney, V., and Reeve, D. E.:
Annual down-glacier drainage of lakes and water-filled crevasses at Helheim
Glacier, southeast Greenland, J. Geophys. Res.-Earth, 121, 1819–1833,
https://doi.org/10.1002/2016JF003831, 2016.
Feng, L. and Hu, C.: Cloud adjacency effects on top-of-atmosphere radiance
and ocean color data products: A statistical assessment, Remote Sens.
Environ., 174, 301–313, https://doi.org/10.1016/j.rse.2015.12.020, 2016.
Fitzpatrick, A. A. W., Hubbard, A. L., Box, J. E., Quincey, D. J., van As,
D., Mikkelsen, A. P. B., Doyle, S. H., Dow, C. F., Hasholt, B., and Jones, G.
A.: A decade (2002–2012) of supraglacial lake volume estimates across
Russell Glacier, West Greenland, The Cryosphere, 8, 107–121,
https://doi.org/10.5194/tc-8-107-2014, 2014.
Georgiou, S., Shepherd, A., McMillan, M., and Nienow, P.: Seasonal evolution
of supraglacial lake volume from ASTER imagery, Ann. Glaciol., 50, 95–100,
https://doi.org/10.3189/172756409789624328, 2009.
Gledhill, L. A. and Williamson, A. G.: Inland advance of supraglacial lakes
in north-west Greenland under three decades of climate change, Ann. Glaciol.,
59, 66–82, https://doi.org/10.1017/aog.2017.31, 2018.
Hewitt, I. J.: Seasonal changes in ice sheet motion due to melt water
lubrication, Earth Planet. Sc. Lett., 371–372, 16–25,
https://doi.org/10.1016/j.epsl.2013.04.022, 2013.
Hock, R., Hutchings, J. K., and Lehning, M.: Grand challenges in cryospheric
sciences: Toward better predictability of glaciers, snow and sea ice, Front.
Earth Sci., 5, 1–14, https://doi.org/10.3389/feart.2017.00064, 2017.
Hoffman, M. J., Catania, G. A., Neumann, T. A., Andrews, L. C., and Rumrill,
J. A.: Links between acceleration, melting, and supraglacial lake drainage of
the western Greenland Ice Sheet, J. Geophys. Res.-Earth, 116, F04035,
https://doi.org/10.1029/2010JF001934, 2011.
Hoffman, M. J., Andrews, L. C., Price, S. F., Catania, G. A., Neumann, T. A.,
Lüthi, M. P., Gulley, J., Ryser, C., Hawley, R. L., and Morriss, B.:
Greenland subglacial drainage evolution regulated by weakly connected regions
of the bed, Nat. Comm., 7, 13903, https://doi.org/10.1038/ncomms13903, 2016.
Hoffman, M. J., Perego, M., Andrews, L. C., Price, S. F., Neumann, T. A.,
Johnson, J., Catania, G., and Lüthi, M.: Widespread moulin formation
during supraglacial lake drainages in Greenland, Geophys. Res. Lett., 45,
778–788, https://doi.org/10.1002/2017GL075659, 2018.
Hofstede, C., Christoffersen, P., Hubbard, B., Doyle, S. H., Young, T. J.,
Diez, A., Eisen, O., and Hubbard, A.: Physical conditions of fast glacier
flow: 2. Variable extent of anisotropic ice and soft basal sediment from
seismic reflection data acquired on Store Glacier, West Greenland, J.
Geophys. Res.-Earth, 123, 349–362, https://doi.org/10.1002/2017JF004297,
2018.
Houborg, R. and McCabe, M. F.: Impacts of dust aerosol and adjacency effects
on the accuracy of Landsat 8 and RapidEye surface reflectances, Remote Sens.
Environ., 194, 127–145, https://doi.org/10.1016/j.rse.2017.03.013, 2017.
Howat, I. M., Negrete, A., and Smith, B. E.: The Greenland Ice Mapping
Project (GIMP) land classification and surface elevation data sets, The
Cryosphere, 8, 1509–1518, https://doi.org/10.5194/tc-8-1509-2014, 2014.
Johansson, A. M. and Brown, I. A.: Adaptive Classification of Supra-Glacial
Lakes on the West Greenland Ice Sheet, IEEE J. Sel. Top. Appl., 6,
1998–2007, https://doi.org/10.1109/JSTARS.2012.2233722, 2013.
Johansson, A. M., Jansson, P., and Brown, I. A.: Spatial and temporal
variations in lakes on the Greenland Ice Sheet, J. Hydrol., 476, 314–320,
https://doi.org/10.1016/j.jhydrol.2012.10.045, 2013.
Joughin, I., Das, S. B., King, M. A., Smith, B. E., Howat, I. M., and Moon,
T.: Seasonal speedup along the western flank of the Greenland Ice Sheet,
Science, 320, 781–783, https://doi.org/10.1126/science.1153288, 2008.
Joughin, I., Das, S. B., Flowers, G. E., Behn, M. D., Alley, R. B., King, M.
A., Smith, B. E., Bamber, J. L., van den Broeke, M. R., and van Angelen, J.
H.: Influence of ice-sheet geometry and supraglacial lakes on seasonal
ice-flow variability, The Cryosphere, 7, 1185–1192,
https://doi.org/10.5194/tc-7-1185-2013, 2013.
Joughin, I., Smith, B. E., Howat, I. M., Moon, T., and Scambos, T.: A SAR
record of early 21st century change in Greenland, J. Glaciol., 62, 62–71,
https://doi.org/10.1017/jog.2016.10, 2016.
Joughin, I., Smith, B. E., and Howat, I. M.: A complete map of Greenland ice
velocity derived from satellite data collected over 20 years, J. Glaciol.,
64, 1–11, https://doi.org/10.1017/jog.2017.73, 2018.
Kääb, A., Winsvold, S. H., Altena, B., Nuth, C., Nagler, T., and
Wuite, J.: Glacier remote sensing using Sentinel-2. Part I: Radiometric and
geometric performance, and application to ice velocity, Remote Sens., 8, 598,
https://doi.org/10.3390/rs8070598, 2016.
Kjeldsen, K. K., Khan, S. A., Bjørk, A. A., Nielsen, K., and Mouginot, J.:
Ice-dammed lake drainage in west Greenland: Drainage pattern and implications
on ice flow and bedrock motion, Geophys. Res. Lett., 44, 7320–7327,
https://doi.org/10.1002/2017GL074081, 2017.
Koziol, C. P. and Arnold, N.: Modelling seasonal meltwater forcing of the
velocity of land-terminating margins of the Greenland Ice Sheet, The
Cryosphere, 12, 971–991, https://doi.org/10.5194/tc-12-971-2018, 2018.
Koziol, C., Arnold, N., Pope, A., and Colgan, W.: Quantifying supraglacial
meltwater pathways in the Paakitsoq region, West Greenland, J. Glaciol., 63,
464–476, https://doi.org/10.1017/jog.2017.5, 2017.
Krawczynski, M. J., Behn, M. D., Das, S. B., and Joughin, I.: Constraints on
the lake volume required for hydro-fracture through ice sheets, Geophys. Res.
Lett., 36, L10501, https://doi.org/10.1029/2008GL036765, 2009.
Kulessa, B., Hubbard, A. L., Booth, A. D., Bougamont, M., Dow, C. F., Doyle,
S. H., Christoffersen, P., Lindbäck, K., Pettersson, R., Fitzpatrick, A.
A. W., and Jones, G. A.: Seismic evidence for complex sedimentary control of
Greenland Ice Sheet flow, Sci. Adv., 3, e1603071,
https://doi.org/10.1126/sciadv.1603071, 2017.
Leeson, A. A., Shepherd, A., Palmer, S., Sundal, A., and Fettweis, X.:
Simulating the growth of supraglacial lakes at the western margin of the
Greenland ice sheet, The Cryosphere, 6, 1077–1086,
https://doi.org/10.5194/tc-6-1077-2012, 2012.
Leeson, A. A., Shepherd, A., Sundal, A. V., Johansson, A. M., Selmes, N.,
Briggs, K., Hogg, A. E., and Fettweis, X.: A comparison of supraglacial lake
observations derived from MODIS imagery at the western margin of the
Greenland ice sheet, J. Glaciol., 59, 1179–1188,
https://doi.org/10.3189/2013JoG13J064, 2013.
Legleiter, C. J., Tedesco, M., Smith, L. C., Behar, A. E., and Overstreet, B.
T.: Mapping the bathymetry of supraglacial lakes and streams on the Greenland
ice sheet using field measurements and high-resolution satellite images, The
Cryosphere, 8, 215–228, https://doi.org/10.5194/tc-8-215-2014, 2014.
Liang, Y.-L., Colgan, W., Lv, Q., Steffen, K., Abdalati, W., Stroeve, J.,
Gallaher, D., and Bayou, N.: A decadal investigation of supraglacial lakes in
west Greenland using a fully automatic detection and tracking algorithm,
Remote Sens. Environ., 123, 127–138, https://doi.org/10.1016/j.rse.2012.03.020, 2012.
Lüthi, M. P., Ryser, C., Andrews, L. C., Catania, G. A., Funk, M.,
Hawley, R. L., Hoffman, M. J., and Neumann, T. A.: Heat sources within the
Greenland Ice Sheet: dissipation, temperate paleo-firn and cryo-hydrologic
warming, The Cryosphere, 9, 245–253, https://doi.org/10.5194/tc-9-245-2015,
2015.
Lüthje, M., Pedersen, L. T., Reeh, N., and Greuell, W.: Modelling the
evolution of supraglacial lakes on the West Greenland ice-sheet margin, J.
Glaciol., 52, 608–618, https://doi.org/10.3189/172756506781828386, 2006.
Macdonald, G. J., Banwell, A. F., and MacAyeal, D. R.: Seasonal evolution of
supraglacial lakes on a floating ice tongue, Petermann Glacier, Greenland,
Ann. Glaciol., 59, 56–65, https://doi.org/10.1017/aog.2018.9, 2018.
Mankoff, K. D. and Tulaczyk, S. M.: The past, present, and future viscous
heat dissipation available for Greenland subglacial conduit formation, The
Cryosphere, 11, 303–317, https://doi.org/10.5194/tc-11-303-2017, 2017.
McMillan, M., Nienow, P., Shepherd, A., Benham, T., and Sole, A.: Seasonal
evolution of supra-glacial lakes on the Greenland Ice Sheet, Earth Planet.
Sc. Lett., 262, 484–492, https://doi.org/10.1016/j.epsl.2007.08.002, 2007.
Miles, K. E., Willis, I. C., Benedek, C. L., Williamson, A. G., and Tedesco,
M.: Toward monitoring surface and subsurface lakes on the Greenland Ice Sheet
using Sentinel-1 SAR and Landsat 8 OLI imagery, Front. Earth Sci., 5, 1–17,
https://doi.org/10.3389/feart.2017.00058, 2017.
Morriss, B. F., Hawley, R. L., Chipman, J. W., Andrews, L. C., Catania, G.
A., Hoffman, M. J., Lüthi, M. P., and Neumann, T. A.: A ten-year record
of supraglacial lake evolution and rapid drainage in West Greenland using an
automated processing algorithm for multispectral imagery, The Cryosphere, 7,
1869–1877, https://doi.org/10.5194/tc-7-1869-2013, 2013.
Moussavi, M. S., Abdalati, W., Pope, A., Scambos, T., Tedesco, M., MacFerrin,
M., and Grigsby, S.: Derivation and validation of supraglacial lake volumes
on the Greenland Ice Sheet from high-resolution satellite imagery, Remote
Sens. Environ., 183, 294–303, https://doi.org/10.1016/j.rse.2016.05.024,
2016.
Naegeli, K., Damm, A., Huss, M., Wulf, H., Schaepman, M., and Hoelzle, M.:
Cross-comparison of albedo products for glacier surfaces derived from
airborne and satellite (Sentinel-2 and Landsat 8) optical data, Remote Sens.,
9, 110, https://doi.org/10.3390/rs9020110, 2017.
Nienow, P. W., Sole, A. J., Slater, D. A., and Cowton, T. R.: Recent advances
in our understanding of the role of meltwater in the Greenland ice sheet
system, Curr. Clim. Change Rep., 3, 330–344,
https://doi.org/10.1007/s40641-017-0083-9, 2017.
Noël, B., van de Berg, W. J., van Wessem, J. M., van Meijgaard, E., van
As, D., Lenaerts, J. T. M., Lhermitte, S., Kuipers Munneke, P., Smeets, C. J.
P. P., van Ulft, L. H., van de Wal, R. S. W., and van den Broeke, M. R.:
Modelling the climate and surface mass balance of polar ice sheets using
RACMO2 – Part 1: Greenland (1958–2016), The Cryosphere, 12, 811–831,
https://doi.org/10.5194/tc-12-811-2018, 2018.
Palmer, S., Shepherd, A., Nienow, P., and Joughin, I.: Seasonal speedup of
the Greenland Ice Sheet linked to routing of surface water, Earth Planet. Sc.
Lett., 302, 423–428, https://doi.org/10.1016/j.epsl.2010.12.037, 2011.
Paul, F., Winsvold, S. H., Kääb, A., Nagler, T., and Schwaizer, G.:
Glacier remote sensing using Sentinel-2. Part II: Mapping glacier extents and
surface facies, and comparison to Landsat 8, Remote Sens., 8, 575,
https://doi.org/10.3390/rs8070575, 2016.
Phillips, T., Rajaram, H., and Steffen, K.: Cryo-hydrologic warming: A
potential mechanism for rapid thermal response of ice sheets, Geophys. Res.
Lett., 37, L20503, https://doi.org/10.1029/2010GL044397, 2010.
Phillips, T., Rajaram, H., Colgan, W., Steffen, K., and Abdalati, W.:
Evaluation of cryo-hydrologic warming as an explanation for increased ice
velocities in the wet snow zone, Sermeq Avannarleq, West Greenland, J.
Geophys. Res.-Earth, 118, 1241–1256, https://doi.org/10.1002/jgrf.20079,
2013.
Poinar, K., Joughin, I., Das, S. B., Behn, M. D., Lenaerts, J., and van den
Broeke, M. R.: Limits to future expansion of surface-melt-enhanced ice flow
into the interior of western Greenland, Geophys. Res. Lett., 42, 1800–1807,
https://doi.org/10.1002/2015GL063192, 2015.
Poinar, K., Joughin, I., Lenaerts, J. T. M., and van den Broeke, M. R.:
Englacial latent-heat transfer has limited influence on seaward ice flux in
western Greenland, J. Glaciol., 63, 1–16,
https://doi.org/10.1017/jog.2016.103, 2017.
Pope, A.: Reproducibly estimating and evaluating supraglacial lake depth with
Landsat 8 and other multispectral sensors, Earth Space Sci., 3, 176–188,
https://doi.org/10.1002/2015EA000125, 2016.
Pope, A., Scambos, T. A., Moussavi, M., Tedesco, M., Willis, M., Shean, D.,
and Grigsby, S.: Estimating supraglacial lake depth in West Greenland using
Landsat 8 and comparison with other multispectral methods, The Cryosphere,
10, 15–27, https://doi.org/10.5194/tc-10-15-2016, 2016.
Schoof, C.: Ice-sheet acceleration driven by melt supply variability, Nature,
468, 803–806, https://doi.org/10.1038/nature09618, 2010.
Selmes, N., Murray, T., and James, T. D.: Fast draining lakes on the
Greenland Ice Sheet, Geophys. Res. Lett., 38, L15501,
https://doi.org/10.1029/2011GL047872, 2011.
Selmes, N., Murray, T., and James, T. D.: Characterizing supraglacial lake
drainage and freezing on the Greenland Ice Sheet, The Cryosphere Discuss., 7,
475–505, https://doi.org/10.5194/tcd-7-475-2013, 2013.
Shepherd, A., Hubbard, A., Nienow, P., King, M., McMillan, M., and Joughin,
I.: Greenland ice sheet motion coupled with daily melting in late summer,
Geophys. Res. Lett., 36, L01501, https://doi.org/10.1029/2008GL035758, 2009.
Sneed, W. A. and Hamilton, G. S.: Evolution of melt pond volume on the
surface of the Greenland Ice Sheet, Geophys. Res. Lett., 34, L03501,
https://doi.org/10.1029/2006GL028697, 2007.
Sole, A., Mair, D. W. F., Nienow, P. W., Bartholomew, I. D., King, M. A.,
Burke, M. J., and Joughin, I.: Seasonal speedup of a Greenland
marine-terminating outlet glacier forced by surface melt-induced changes in
subglacial hydrology, J. Geophys. Res.-Earth, 116, F03014,
https://doi.org/10.1029/2010JF001948, 2011.
Sole, A., Nienow, P., Bartholomew, I., Mair, D., Cowton, T., Tedstone, A.,
and King, M. A.: Winter motion mediates dynamic response of the Greenland Ice
Sheet to warmer summers, Geophys. Res. Lett., 40, 3940–3944,
https://doi.org/10.1002/grl.50764, 2013.
Stevens, L. A., Behn, M. D., McGuire, J. J., Das, S. B., Joughin, I.,
Herring, T., Shean, D. E., and King, M. A.: Greenland supraglacial lake
drainages triggered by hydrologically induced basal slip, Nature, 522,
73–76, https://doi.org/10.1038/nature14608, 2015.
Stevens, L. A., Behn, M. D., Das, S. B., Joughin, I., Noël, B. P. Y., van
den Broeke, M., and Herring, T.: Greenland Ice Sheet flow response to runoff
variability, Geophys. Res. Lett., 43, 11295–11303,
https://doi.org/10.1002/2016GL070414, 2016.
Sundal, A. V., Shepherd, A., Nienow, P., Hanna, E., Palmer, S., and
Huybrechts, P.: Evolution of supra-glacial lakes across the Greenland Ice
Sheet, Remote Sens. Environ., 113, 2164–2171,
https://doi.org/10.1016/j.rse.2009.05.018, 2009.
Sundal, A. V., Shepherd, A., Nienow, P., Hanna, E., Palmer, S. and
Huybrechts, P.: Melt-induced speed-up of Greenland ice sheet offset by
efficient subglacial drainage, Nature, 469, 521–524,
https://doi.org/10.1038/nature09740, 2011.
Tedesco, M., Lüthje, M., Steffen, K., Steiner, N., Fettweis, X., Willis,
I., Bayou, N., and Banwell, A.: Measurement and modeling of ablation of the
bottom of supraglacial lakes in western Greenland, Geophys. Res. Lett., 39,
L02052, https://doi.org/10.1029/2011GL049882, 2012.
Tedesco, M., Willis, I. C., Hoffman, M. J., Banwell, A. F., Alexander, P.,
and Arnold, N. S.: Ice dynamic response to two modes of surface lake drainage
on the Greenland ice sheet, Environ. Res. Lett., 8, 034007,
https://doi.org/10.1088/1748-9326/8/3/034007, 2013.
Tedstone, A. J., Nienow, P. W., Gourmelen, N. and Sole, A. J.: Greenland ice
sheet annual motion insensitive to spatial variations in subglacial hydraulic
structure, Geophys. Res. Lett., 41, 8910–8917,
https://doi.org/10.1002/2014GL062386, 2014.
Tedstone, A. J., Nienow, P. W., Gourmelen, N., Dehecq, A., Goldberg, D., and
Hanna, E.: Decadal slowdown of a land-terminating sector of the Greenland Ice
Sheet despite warming, Nature, 526, 692–695,
https://doi.org/10.1038/nature15722, 2015.
van de Wal, R. S. W., Boot, M., van den Broeke, M. R., Smeets, C. J. P. P.,
Reijmer, C. H., Donker, J. J. A., and Oerlemans, J.: Large and rapid
melt-induced velocity changes in the ablation zone of the Greenland Ice
Sheet, Science, 321, 111–113, https://doi.org/10.1126/science.1158540, 2008.
van de Wal, R. S. W., Smeets, C. J. P. P., Boot, W., Stoffelen, M., van
Kampen, R., Doyle, S. H., Wilhelms, F., van den Broeke, M. R., Reijmer, C.
H., Oerlemans, J., and Hubbard, A.: Self-regulation of ice flow varies across
the ablation area in south-west Greenland, The Cryosphere, 9, 603–611,
https://doi.org/10.5194/tc-9-603-2015, 2015.
van den Broeke, M. R., Enderlin, E. M., Howat, I. M., Kuipers Munneke, P.,
Noël, B. P. Y., van de Berg, W. J., van Meijgaard, E., and Wouters, B.:
On the recent contribution of the Greenland ice sheet to sea level change,
The Cryosphere, 10, 1933–1946, https://doi.org/10.5194/tc-10-1933-2016,
2016.
Williamson, A. G.: Remote sensing of rapidly draining supraglacial lakes on
the Greenland Ice Sheet, PhD thesis, University of Cambridge, Cambridge, UK,
https://doi.org/10.17863/CAM.24192, 2018a.
Williamson, A.: Full source code for the Fully Automated Supraglacial lake
Tracking at Enhanced Resolution (“FASTER”) algorithm, version 1 [software],
https://doi.org/10.17863/CAM.25769, 2018b.
Williamson, A. G., Arnold, N. S., Banwell, A. F., and Willis, I. C.: A Fully
Automated Supraglacial lake area and volume Tracking (“FAST”) algorithm:
Development and application using MODIS imagery of West Greenland, Remote
Sens. Environ., 196, 113–133, https://doi.org/10.1016/j.rse.2017.04.032, 2017.
Williamson, A. G., Willis, I. C., Arnold, N. S., and Banwell, A. F.: Controls
on rapid supraglacial lake drainage in West Greenland: an Exploratory Data
Analysis approach, J. Glaciol., 64, 208–226,
https://doi.org/10.1017/JoG.2018.8, 2018.
Zwally, H. J., Abdalati, W., Herring, T., Larson, K., Saba, J., and Steffen,
K.: Surface melt-induced acceleration of Greenland ice-sheet flow, Science,
297, 218–222, https://doi.org/10.1126/science.1072708, 2002.
Short summary
A new approach is presented for automatically monitoring changes to area and volume of surface lakes on the Greenland Ice Sheet using Landsat 8 and Sentinel-2 satellite data. The dual-satellite record improves on previous work since it tracks changes to more lakes (including small ones), identifies more lake-drainage events, and has higher precision. The results also show that small lakes are important in ice-sheet hydrology as they route more surface run-off into the ice sheet than large lakes.
A new approach is presented for automatically monitoring changes to area and volume of surface...