Articles | Volume 14, issue 10
https://doi.org/10.5194/tc-14-3287-2020
© Author(s) 2020. 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-14-3287-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
02 Oct 2020
Research article |
| 02 Oct 2020
| 02 Oct 2020
Temporal and spatial variability in surface roughness and accumulation rate around 88° S from repeat airborne geophysical surveys
Michael Studinger
CORRESPONDING AUTHOR
NASA Goddard Space Flight Center, Greenbelt, MD, USA
Brooke C. Medley
NASA Goddard Space Flight Center, Greenbelt, MD, USA
Kelly M. Brunt
Earth System Science Interdisciplinary Center (ESSIC), University of
Maryland, College Park, MD, USA
NASA Goddard Space Flight Center, Greenbelt, MD, USA
Kimberly A. Casey
U.S. Geological Survey, Reston, VA, USA
NASA Goddard Space Flight Center, Greenbelt, MD, USA
Nathan T. Kurtz
NASA Goddard Space Flight Center, Greenbelt, MD, USA
Serdar S. Manizade
Amentum Services Inc., Wallops Island, VA, USA
NASA Wallops Flight Facility, Wallops Island, VA, USA
Thomas A. Neumann
NASA Goddard Space Flight Center, Greenbelt, MD, USA
Thomas B. Overly
Earth System Science Interdisciplinary Center (ESSIC), University of
Maryland, College Park, MD, USA
NASA Goddard Space Flight Center, Greenbelt, MD, USA
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Brooke Medley, Thomas A. Neumann, H. Jay Zwally, Benjamin E. Smith, and C. Max Stevens
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Michael Studinger, Serdar S. Manizade, Matthew A. Linkswiler, and James K. Yungel
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Kimberly A. Casey, Cecile S. Rousseaux, Watson W. Gregg, Emmanuel Boss, Alison P. Chase, Susanne E. Craig, Colleen B. Mouw, Rick A. Reynolds, Dariusz Stramski, Steven G. Ackleson, Annick Bricaud, Blake Schaeffer, Marlon R. Lewis, and Stéphane Maritorena
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A deep ice core was recently drilled at the South Pole to understand past variations in the Earth's climate. To understand the information contained within the ice, we present the relationship between the depth and age of the ice in the South Pole Ice Core. We found that the oldest ice in our record is from 54 302 ± 519 years ago. Our results show that, on average, 7.4 cm of snow falls at the South Pole each year.
Dyre O. Dammann, Leif E. B. Eriksson, Son V. Nghiem, Erin C. Pettit, Nathan T. Kurtz, John G. Sonntag, Thomas E. Busche, Franz J. Meyer, and Andrew R. Mahoney
The Cryosphere, 13, 1861–1875, https://doi.org/10.5194/tc-13-1861-2019, https://doi.org/10.5194/tc-13-1861-2019, 2019
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Tyler C. Sutterley, Thorsten Markus, Thomas A. Neumann, Michiel van den Broeke, J. Melchior van Wessem, and Stefan R. M. Ligtenberg
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B. M. Csatho, A. F. Schenk, and T. Neumann
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This paper presents laboratory and in-flight radiometric methods to calibrate and deploy a full-spectrum non-imaging airborne visible-to-shortwave infrared (VSWIR) spectrometer to measure polar ice sheet surface optical properties. Using an atmospheric radiative transfer model and coincident Landsat 8 multispectral image, this study concluded that it is possible to measure bright Greenland ice and dark bare rock/soil targets at an airborne remote sensing uncertainty of between 0.6 and 4.7.
Steven W. Fons and Nathan T. Kurtz
The Cryosphere, 13, 861–878, https://doi.org/10.5194/tc-13-861-2019, https://doi.org/10.5194/tc-13-861-2019, 2019
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A method to measure the snow freeboard of Antarctic sea ice from CryoSat-2 data is developed. Through comparisons with data from airborne campaigns and another satellite mission, we find that this method can reasonably retrieve snow freeboard across the Antarctic and shows promise in retrieving snow depth in certain locations. Snow freeboard data from CryoSat-2 are important because they enable the calculation of sea ice thickness and help to better understand snow depth on Antarctic sea ice.
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
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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.
Jan Melchior van Wessem, Willem Jan van de Berg, Brice P. Y. Noël, Erik van Meijgaard, Charles Amory, Gerit Birnbaum, Constantijn L. Jakobs, Konstantin Krüger, Jan T. M. Lenaerts, Stef Lhermitte, Stefan R. M. Ligtenberg, Brooke Medley, Carleen H. Reijmer, Kristof van Tricht, Luke D. Trusel, Lambertus H. van Ulft, Bert Wouters, Jan Wuite, and Michiel R. van den Broeke
The Cryosphere, 12, 1479–1498, https://doi.org/10.5194/tc-12-1479-2018, https://doi.org/10.5194/tc-12-1479-2018, 2018
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We present a detailed evaluation of the latest version of the regional atmospheric climate model RACMO2.3p2 (1979-2016) over the Antarctic ice sheet. The model successfully reproduces the present-day climate and surface mass balance (SMB) when compared with an extensive set of observations and improves on previous estimates of the Antarctic climate and SMB.
This study shows that the latest version of RACMO2 can be used for high-resolution future projections over the AIS.
Ron Kwok, Nathan T. Kurtz, Ludovic Brucker, Alvaro Ivanoff, Thomas Newman, Sinead L. Farrell, Joshua King, Stephen Howell, Melinda A. Webster, John Paden, Carl Leuschen, Joseph A. MacGregor, Jacqueline Richter-Menge, Jeremy Harbeck, and Mark Tschudi
The Cryosphere, 11, 2571–2593, https://doi.org/10.5194/tc-11-2571-2017, https://doi.org/10.5194/tc-11-2571-2017, 2017
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Since 2009, the ultra-wideband snow radar on Operation IceBridge has acquired data in annual campaigns conducted during the Arctic and Antarctic springs. Existing snow depth retrieval algorithms differ in the way the air–snow and snow–ice interfaces are detected and localized in the radar returns and in how the system limitations are addressed. Here, we assess five retrieval algorithms by comparisons with field measurements, ground-based campaigns, and analyzed fields of snow depth.
Elizabeth R. Thomas, J. Melchior van Wessem, Jason Roberts, Elisabeth Isaksson, Elisabeth Schlosser, Tyler J. Fudge, Paul Vallelonga, Brooke Medley, Jan Lenaerts, Nancy Bertler, Michiel R. van den Broeke, Daniel A. Dixon, Massimo Frezzotti, Barbara Stenni, Mark Curran, and Alexey A. Ekaykin
Clim. Past, 13, 1491–1513, https://doi.org/10.5194/cp-13-1491-2017, https://doi.org/10.5194/cp-13-1491-2017, 2017
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Regional Antarctic snow accumulation derived from 79 ice core records is evaluated as part of the PAGES Antarctica 2k working group. Our results show that surface mass balance for the total Antarctic ice sheet has increased at a rate of 7 ± 0.13 Gt dec-1 since 1800 AD, representing a net reduction in sea level of ~ 0.02 mm dec-1 since 1800 and ~ 0.04 mm dec-1 since 1900 AD. The largest contribution is from the Antarctic Peninsula.
Peter Kuipers Munneke, Daniel McGrath, Brooke Medley, Adrian Luckman, Suzanne Bevan, Bernd Kulessa, Daniela Jansen, Adam Booth, Paul Smeets, Bryn Hubbard, David Ashmore, Michiel Van den Broeke, Heidi Sevestre, Konrad Steffen, Andrew Shepherd, and Noel Gourmelen
The Cryosphere, 11, 2411–2426, https://doi.org/10.5194/tc-11-2411-2017, https://doi.org/10.5194/tc-11-2411-2017, 2017
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How much snow falls on the Larsen C ice shelf? This is a relevant question, because this ice shelf might collapse sometime this century. To know if and when this could happen, we found out how much snow falls on its surface. This was difficult, because there are only very few measurements. Here, we used data from automatic weather stations, sled-pulled radars, and a climate model to find that melting the annual snowfall produces about 20 cm of water in the NE and over 70 cm in the SW.
Kimberly A. Casey, Chris M. Polashenski, Justin Chen, and Marco Tedesco
The Cryosphere, 11, 1781–1795, https://doi.org/10.5194/tc-11-1781-2017, https://doi.org/10.5194/tc-11-1781-2017, 2017
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We analyzed Greenland Ice Sheet (GrIS) average summer surface reflectance and albedo (2001–2016). MODIS Collection 6 data show a decreased magnitude of change over time due to sensor calibration corrections. Spectral band maps provide insight into GrIS surface processes likely occurring. Correctly measuring albedo and surface reflectance changes over time is crucial to monitoring atmosphere–ice interactions and ice mass balance. The results are applicable to many long-term MODIS studies.
Kelly M. Brunt, Robert L. Hawley, Eric R. Lutz, Michael Studinger, John G. Sonntag, Michelle A. Hofton, Lauren C. Andrews, and Thomas A. Neumann
The Cryosphere, 11, 681–692, https://doi.org/10.5194/tc-11-681-2017, https://doi.org/10.5194/tc-11-681-2017, 2017
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This manuscript presents an analysis of NASA airborne lidar data based on in situ GPS measurements from the interior of the Greenland Ice Sheet. Results show that for two airborne altimeters, surface elevation biases are less than 0.12 m and measurement precisions are 0.09 m or better. The study concludes that two NASA airborne lidars are sufficiently characterized to form part of a satellite data validation strategy, specifically for ICESat-2, scheduled to launch in 2018.
Stephen F. Price, Matthew J. Hoffman, Jennifer A. Bonin, Ian M. Howat, Thomas Neumann, Jack Saba, Irina Tezaur, Jeffrey Guerber, Don P. Chambers, Katherine J. Evans, Joseph H. Kennedy, Jan Lenaerts, William H. Lipscomb, Mauro Perego, Andrew G. Salinger, Raymond S. Tuminaro, Michiel R. van den Broeke, and Sophie M. J. Nowicki
Geosci. Model Dev., 10, 255–270, https://doi.org/10.5194/gmd-10-255-2017, https://doi.org/10.5194/gmd-10-255-2017, 2017
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We introduce the Cryospheric Model Comparison Tool (CmCt) and propose qualitative and quantitative metrics for evaluating ice sheet model simulations against observations. Greenland simulations using the Community Ice Sheet Model are compared to gravimetry and altimetry observations from 2003 to 2013. We show that the CmCt can be used to score simulations of increasing complexity relative to observations of dynamic change in Greenland over the past decade.
Kelly M. Brunt, Thomas A. Neumann, Jason M. Amundson, Jeffrey L. Kavanaugh, Mahsa S. Moussavi, Kaitlin M. Walsh, William B. Cook, and Thorsten Markus
The Cryosphere, 10, 1707–1719, https://doi.org/10.5194/tc-10-1707-2016, https://doi.org/10.5194/tc-10-1707-2016, 2016
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This paper highlights results from a 2014 airborne laser altimetry campaign over Alaskan glaciers. The study was conducted in support of a NASA satellite mission (ICESat-2, scheduled to launch in 2017). The study indicates that the planned beam configuration for ICESat-2 is ideal for determining local slope, which is critical for the determination of ice-sheet elevation change. Results also suggest that ICESat-2 will contribute significantly to glacier studies in the mid-latitudes.
Alek A. Petty, Michel C. Tsamados, Nathan T. Kurtz, Sinead L. Farrell, Thomas Newman, Jeremy P. Harbeck, Daniel L. Feltham, and Jackie A. Richter-Menge
The Cryosphere, 10, 1161–1179, https://doi.org/10.5194/tc-10-1161-2016, https://doi.org/10.5194/tc-10-1161-2016, 2016
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This study presents an analysis of Arctic sea ice topography using high-resolution, three-dimensional surface elevation data from the Airborne Topographic Mapper (ATM) laser altimeter, flown as part of NASA's Operation IceBridge mission. We describe and implement a newly developed sea ice surface feature-picking algorithm and derive novel information regarding the height, volume and geometry of surface features over the western Arctic sea ice cover.
Willem Jan van de Berg and Brooke Medley
The Cryosphere, 10, 459–463, https://doi.org/10.5194/tc-10-459-2016, https://doi.org/10.5194/tc-10-459-2016, 2016
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Regional climate models improve the spatial surface mass balance (SMB) patterns in Antarctica compared to reanalyses, but they deteriorate the representation of interannual variability in SMB. Hence, we implemented additional nudging in our regional climate model RACMO2. Using annual SMB observations of the Twaites drainage basin, Antarctica, we show that this nudging vastly improves the representation of interannual variability without significant deterioration of the modelled mean SMB fields.
L. S. Koenig, D. J. Lampkin, L. N. Montgomery, S. L. Hamilton, J. B. Turrin, C. A. Joseph, S. E. Moutsafa, B. Panzer, K. A. Casey, J. D. Paden, C. Leuschen, and P. Gogineni
The Cryosphere, 9, 1333–1342, https://doi.org/10.5194/tc-9-1333-2015, https://doi.org/10.5194/tc-9-1333-2015, 2015
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The Greenland Ice Sheet is storing meltwater through the winter season just below its surface in buried supraglacial lakes. Airborne radar from Operation IceBridge between 2009 and 2012 was used to detect buried lakes, distributed extensively around the margin of the ice sheet. The volume of retained water in the buried lakes is likely insignificant compared to the total mass loss from the ice sheet but has important implications for ice temperatures.
M. P. Lüthi, C. Ryser, L. C. Andrews, G. A. Catania, M. Funk, R. L. Hawley, M. J. Hoffman, and T. A. Neumann
The Cryosphere, 9, 245–253, https://doi.org/10.5194/tc-9-245-2015, https://doi.org/10.5194/tc-9-245-2015, 2015
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We analyze the thermal structure of the Greenland Ice Sheet with a heat flow model. New borehole measurements indicate that more heat is stored within the ice than would be expected from heat diffusion alone. We conclude that temperate paleo-firn and cyro-hydrologic warming are essential processes that explain the measurements.
B. Medley, I. Joughin, B. E. Smith, S. B. Das, E. J. Steig, H. Conway, S. Gogineni, C. Lewis, A. S. Criscitiello, J. R. McConnell, M. R. van den Broeke, J. T. M. Lenaerts, D. H. Bromwich, J. P. Nicolas, and C. Leuschen
The Cryosphere, 8, 1375–1392, https://doi.org/10.5194/tc-8-1375-2014, https://doi.org/10.5194/tc-8-1375-2014, 2014
N. T. Kurtz, N. Galin, and M. Studinger
The Cryosphere, 8, 1217–1237, https://doi.org/10.5194/tc-8-1217-2014, https://doi.org/10.5194/tc-8-1217-2014, 2014
A. A. Borsa, G. Moholdt, H. A. Fricker, and K. M. Brunt
The Cryosphere, 8, 345–357, https://doi.org/10.5194/tc-8-345-2014, https://doi.org/10.5194/tc-8-345-2014, 2014
B. F. Morriss, R. L. Hawley, J. W. Chipman, L. C. Andrews, G. A. Catania, M. J. Hoffman, M. P. Lüthi, and T. A. Neumann
The Cryosphere, 7, 1869–1877, https://doi.org/10.5194/tc-7-1869-2013, https://doi.org/10.5194/tc-7-1869-2013, 2013
N. T. Kurtz, S. L. Farrell, M. Studinger, N. Galin, J. P. Harbeck, R. Lindsay, V. D. Onana, B. Panzer, and J. G. Sonntag
The Cryosphere, 7, 1035–1056, https://doi.org/10.5194/tc-7-1035-2013, https://doi.org/10.5194/tc-7-1035-2013, 2013
Related subject area
Discipline: Ice sheets | Subject: Antarctic
A facet-based numerical model to retrieve ice sheet topography from Sentinel-3 altimetry
Current reversal leads to regime change in the Amery Ice Shelf cavity in the 21st century
Speed-up, slowdown, and redirection of ice flow on neighbouring ice streams in the Pope, Smith, and Kohler region of West Antarctica
Changes in Antarctic surface conditions and potential for ice shelf hydrofracturing from 1850 to 2200
A reconstruction of the ice thickness of the Antarctic Peninsula Ice Sheet north of 70° S
Bathymetry-constrained impact of relative sea-level change on basal melting in Antarctica
Age–depth distribution in western Dronning Maud Land, East Antarctica, and Antarctic-wide comparisons of internal reflection horizons
Assessing the sensitivity of the Vanderford Glacier, East Antarctica, to basal melt and calving
A history-matching analysis of the Antarctic Ice Sheet since the Last Interglacial – Part 1: Ice sheet evolution
Gravity-derived Antarctic bathymetry using the Tomofast-x open-source code: a case study of Vincennes Bay
ISMIP6-based Antarctic projections to 2100: simulations with the BISICLES ice sheet model
Assessing the suitability of sites near Pine Island Glacier for subglacial bedrock drilling aimed at detecting Holocene retreat–readvance
Modelling GNSS-observed seasonal velocity changes of the Ross Ice Shelf, Antarctica, using the Ice-sheet and Sea-level System Model (ISSM)
A fast and simplified subglacial hydrological model for the Antarctic Ice Sheet and outlet glaciers
Satellite data reveal details of glacial isostatic adjustment in the Amundsen Sea Embayment, West Antarctica
The impact of regional-scale upper mantle heterogeneity on glacial isostatic adjustment in West Antarctica
Thwaites Glacier thins and retreats fastest where ice-shelf channels intersect its grounding zone
Melt sensitivity of irreversible retreat of Pine Island Glacier
A model framework for atmosphere–snow water vapor exchange and the associated isotope effects at Dome Argus, Antarctica – Part 1: The diurnal changes
Review Article: Antarctica’s internal architecture: Towards a radiostratigraphically-informed age–depth model of the Antarctic ice sheets
A thicker, rather than thinner, East Antarctic Ice Sheet plateau during the Last Glacial Maximum
The long-term sea-level commitment from Antarctica
The influence of present-day regional surface mass balance uncertainties on the future evolution of the Antarctic Ice Sheet
How well can satellite altimetry and firn models resolve Antarctic firn thickness variations?
Brief Communication: Sensitivity of Antarctic ice-shelf melting to ocean warming across basal melt models
Feedback mechanisms controlling Antarctic glacial-cycle dynamics simulated with a coupled ice sheet–solid Earth model
The effect of ice shelf rheology on shelf edge bending
Hysteresis of idealized, instability-prone outlet glaciers in response to pinning-point buttressing variation
A physics-based Antarctic melt detection technique: combining Advanced Microwave Scanning Radiometer 2, radiative-transfer modeling, and firn modeling
Brief communication: Precision measurement of the index of refraction of deep glacial ice at radio frequencies at Summit Station, Greenland
Widespread increase in discharge from west Antarctic Peninsula glaciers since 2018
Surface dynamics and history of the calving cycle of Astrolabe Glacier (Adélie Coast, Antarctica) derived from satellite imagery
Review article: Feature tracing in radio-echo sounding products of terrestrial ice sheets and planetary bodies
Weak relationship between remotely detected crevasses and inferred ice rheological parameters on Antarctic ice shelves
Extensive palaeo-surfaces beneath the Evans–Rutford region of the West Antarctic Ice Sheet control modern and past ice flow
Towards the systematic reconnaissance of seismic signals from glaciers and ice sheets – Part 1: Event detection for cryoseismology
Towards the systematic reconnaissance of seismic signals from glaciers and ice sheets – Part 2: Unsupervised learning for source process characterization
Geometric amplification and suppression of ice-shelf basal melt in West Antarctica
Viscoelastic mechanics of tidally induced lake drainage in the Amery grounding zone
Alpine topography of the Gamburtsev Subglacial Mountains, Antarctica, mapped from ice sheet surface morphology
Impact of boundary conditions on the modeled thermal regime of the Antarctic ice sheet
Deep learning based automatic grounding line delineation in DInSAR interferograms
The staggered retreat of grounded ice in the Ross Sea, Antarctica, since the Last Glacial Maximum (LGM)
The effect of landfast sea ice buttressing on ice dynamic speedup in the Larsen B embayment, Antarctica
Meteoric water and glacial melt in the southeastern Amundsen Sea: a time series from 1994 to 2020
Evaporative controls on Antarctic precipitation: an ECHAM6 model study using innovative water tracer diagnostics
Disentangling the drivers of future Antarctic ice loss with a historically calibrated ice-sheet model
Insights into the vulnerability of Antarctic glaciers from the ISMIP6 ice sheet model ensemble and associated uncertainty
Oceanic gateways to Antarctic grounding lines – Impact of critical access depths on sub-shelf melt
Evaluation of four calving laws for Antarctic ice shelves
Jérémie Aublanc, François Boy, Franck Borde, and Pierre Féménias
The Cryosphere, 19, 1937–1954, https://doi.org/10.5194/tc-19-1937-2025, https://doi.org/10.5194/tc-19-1937-2025, 2025
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In this study we developed a novel processing chain to derive the ice sheet topography from Sentinel-3 altimetry measurements (named "AMPLI"). The major innovation lies in the use of numerical simulations to geolocate the radar impact point on the ground. The performance improvement is substantial compared to ground segment processing. Furthermore, with AMPLI we show that Sentinel-3 estimates the surface elevation change of the Antarctic ice sheet with a high level of agreement with ICESat-2.
Jing Jin, Antony J. Payne, and Christopher Y. S. Bull
The Cryosphere, 19, 1873–1896, https://doi.org/10.5194/tc-19-1873-2025, https://doi.org/10.5194/tc-19-1873-2025, 2025
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The Amery Ice Shelf cavity is one of the largest cold cavities filled by relatively cold Dense Shelf Water. However, in this study, we show that warm intrusion of modified Circumpolar Deep Water flushes the Amery cavity, which changes it from a cold cavity to a warm cavity and leads to an abrupt increase in the basal melt rate in the 2060s. The shift to a warm cavity is attributed to a freshening-driven current reversal in front of the ice shelf.
Heather L. Selley, Anna E. Hogg, Benjamin J. Davison, Pierre Dutrieux, and Thomas Slater
The Cryosphere, 19, 1725–1738, https://doi.org/10.5194/tc-19-1725-2025, https://doi.org/10.5194/tc-19-1725-2025, 2025
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We used satellite observations to measure recent changes in ice speed and flow direction in the Pope, Smith, and Kohler region of West Antarctica (2005–2022). We found substantial speed-up on seven ice streams of up to 87 %. However, Kohler West Glacier has slowed by 10 %, due to the redirection of ice flow into its rapidly thinning neighbour. This process of “ice piracy” has not previously been directly observed on this rapid timescale and may influence future ice shelf and sheet mass changes.
Nicolas C. Jourdain, Charles Amory, Christoph Kittel, and Gaël Durand
The Cryosphere, 19, 1641–1674, https://doi.org/10.5194/tc-19-1641-2025, https://doi.org/10.5194/tc-19-1641-2025, 2025
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A mixed statistical–physical approach is used to reproduce the behaviour of a regional climate model. From that, we estimate the contribution of snowfall and melting at the surface of the Antarctic Ice Sheet to changes in global mean sea level. We also investigate the impact of surface melting in a warmer climate on the stability of the Antarctic ice shelves that provide back stress on the ice flow to the ocean.
Kaian Shahateet, Johannes J. Fürst, Francisco Navarro, Thorsten Seehaus, Daniel Farinotti, and Matthias Braun
The Cryosphere, 19, 1577–1597, https://doi.org/10.5194/tc-19-1577-2025, https://doi.org/10.5194/tc-19-1577-2025, 2025
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In the present work, we provide a new ice thickness reconstruction of the Antarctic Peninsula Ice Sheet north of 70º S using inversion modeling. This model consists of two steps: the first uses basic assumptions of the rheology of the glacier, and the second uses mass conservation to improve the reconstruction where the assumptions made previously are expected to fail. Validation with independent data showed that our reconstruction improved compared to other reconstructions that are available.
Moritz Kreuzer, Torsten Albrecht, Lena Nicola, Ronja Reese, and Ricarda Winkelmann
The Cryosphere, 19, 1181–1203, https://doi.org/10.5194/tc-19-1181-2025, https://doi.org/10.5194/tc-19-1181-2025, 2025
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The study investigates how changing sea levels around Antarctica can potentially affect the melting of floating ice shelves. It utilizes numerical models for both the Antarctic Ice Sheet and the solid Earth, investigating features like troughs and sills that control the flow of ocean water onto the continental shelf. The research finds that compared to climatic changes, the effect of relative sea level on ice-shelf melting is small.
Steven Franke, Daniel Steinhage, Veit Helm, Alexandra M. Zuhr, Julien A. Bodart, Olaf Eisen, and Paul Bons
The Cryosphere, 19, 1153–1180, https://doi.org/10.5194/tc-19-1153-2025, https://doi.org/10.5194/tc-19-1153-2025, 2025
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The study presents internal reflection horizons (IRHs) over an area of 450 000 km² from western Dronning Maud Land, Antarctica, spanning 4.8–91 ka. Using radar and ice core data, nine IRHs were dated and correlated with volcanic events. The data enhance our understanding of the ice sheet's age–depth architecture, accumulation, and dynamics. The findings inform ice flow models and contribute to Antarctic-wide comparisons of IRHs, supporting efforts toward a 3D age–depth ice sheet model.
Lawrence A. Bird, Felicity S. McCormack, Johanna Beckmann, Richard S. Jones, and Andrew N. Mackintosh
The Cryosphere, 19, 955–973, https://doi.org/10.5194/tc-19-955-2025, https://doi.org/10.5194/tc-19-955-2025, 2025
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Vanderford Glacier is the fastest-retreating glacier in East Antarctica and may have important implications for future ice loss from the Aurora Subglacial Basin. Our ice sheet model simulations suggest that grounding line retreat is driven by sub-ice-shelf basal melting, in which warm ocean waters melt ice close to the grounding line. We show that current estimates of basal melt are likely too low, highlighting the need for improved estimates and direct measurements of basal melt in the region.
Benoit S. Lecavalier and Lev Tarasov
The Cryosphere, 19, 919–953, https://doi.org/10.5194/tc-19-919-2025, https://doi.org/10.5194/tc-19-919-2025, 2025
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We present the evolution of the Antarctic Ice Sheet (AIS) over the last 200 kyr by means of a history-matching analysis where an updated observational database constrained ~ 10 000 model simulations. During peak glaciation at the Last Glacial Maximum (LGM), the best-fitting sub-ensemble of AIS simulations reached an excess grounded ice volume relative to the present of 9.2 to 26.5 m equivalent sea level relative to the present. The LGM AIS volume can help resolve the LGM missing-ice problem.
Lawrence A. Bird, Vitaliy Ogarko, Laurent Ailleres, Lachlan Grose, Jeremie Giraud, Felicity S. McCormack, David E. Gwyther, Jason L. Roberts, Richard S. Jones, and Andrew N. Mackintosh
EGUsphere, https://doi.org/10.5194/egusphere-2025-211, https://doi.org/10.5194/egusphere-2025-211, 2025
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The terrain of the seafloor has important controls on the access of warm water to below floating ice shelves around Antarctica. Here, we present an open-source method to infer what the seafloor looks like around the Antarctic continent, and within these ice shelf cavities, using measurements of the Earth’s gravitational field. We present an improved seafloor map for the Vincennes Bay region in East Antarctica and assess its impact on ice melt rates.
James F. O'Neill, Tamsin L. Edwards, Daniel F. Martin, Courtney Shafer, Stephen L. Cornford, Hélène L. Seroussi, Sophie Nowicki, Mira Adhikari, and Lauren J. Gregoire
The Cryosphere, 19, 541–563, https://doi.org/10.5194/tc-19-541-2025, https://doi.org/10.5194/tc-19-541-2025, 2025
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We use an ice sheet model to simulate the Antarctic contribution to sea level over the 21st century under a range of future climates and varying how sensitive the ice sheet is to different processes. We find that ocean temperatures increase and more snow falls on the ice sheet under stronger warming scenarios. When the ice sheet is sensitive to ocean warming, ocean melt-driven loss exceeds snowfall-driven gains, meaning that the sea level contribution is greater with more climate warming.
Joanne S. Johnson, John Woodward, Ian Nesbitt, Kate Winter, Seth Campbell, Keir A. Nichols, Ryan A. Venturelli, Scott Braddock, Brent M. Goehring, Brenda Hall, Dylan H. Rood, and Greg Balco
The Cryosphere, 19, 303–324, https://doi.org/10.5194/tc-19-303-2025, https://doi.org/10.5194/tc-19-303-2025, 2025
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Determining where and when the Antarctic ice sheet was smaller than present requires recovery and exposure dating of subglacial bedrock. Here we use ice sheet model outputs and field data (geological and glaciological observations, bedrock samples, and ground-penetrating radar) to assess the suitability for subglacial drilling of sites in the Hudson Mountains, West Antarctica. We find that no sites are perfect, but two are feasible, with the most suitable being Winkie Nunatak (74.86°S, 99.77°W).
Francesca Baldacchino, Nicholas R. Golledge, Mathieu Morlighem, Huw Horgan, Alanna V. Alevropoulos-Borrill, Alena Malyarenko, Alexandra Gossart, Daniel P. Lowry, and Laurine van Haastrecht
The Cryosphere, 19, 107–127, https://doi.org/10.5194/tc-19-107-2025, https://doi.org/10.5194/tc-19-107-2025, 2025
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Understanding how the Ross Ice Shelf flow is changing in a warming world is important for predicting ice sheet change. Field measurements show clear intra-annual variations in ice flow; however, it is unclear what mechanisms drive this variability. We show that local perturbations in basal melt can have a significant impact on ice flow speed, but a combination of forcings is likely driving the observed variability in ice flow.
Elise Kazmierczak, Thomas Gregov, Violaine Coulon, and Frank Pattyn
The Cryosphere, 18, 5887–5911, https://doi.org/10.5194/tc-18-5887-2024, https://doi.org/10.5194/tc-18-5887-2024, 2024
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We introduce a new fast model for water flow beneath the ice sheet capable of handling various hydrological and bed conditions in a unified way. Applying this model to Thwaites Glacier, we show that accounting for this water flow in ice sheet model projections has the potential to greatly increase the contribution to future sea level rise. We also demonstrate that the sensitivity of the ice sheet in response to external changes depends on the efficiency of the drainage and the bed type.
Matthias O. Willen, Bert Wouters, Taco Broerse, Eric Buchta, and Veit Helm
EGUsphere, https://doi.org/10.5194/egusphere-2024-3086, https://doi.org/10.5194/egusphere-2024-3086, 2024
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Collapse of the West Antarctic ice sheet in the Amundsen Sea Embayment is likely in the near future. Vertical uplift of bedrock due to glacial isostatic adjustment stabilizes the ice sheet and may delay its collapse. So far, only spatially and temporally sparse GNSS measurements have been able to observe this bedrock motion. We have combined satellite data and quantified a region-wide bedrock motion that independently matches GNSS measurements. This can improve ice-sheet predictions.
Erica Margaret Lucas, Natalya Gomez, and Terry Wilson
EGUsphere, https://doi.org/10.5194/egusphere-2024-2957, https://doi.org/10.5194/egusphere-2024-2957, 2024
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We investigate the effects of incorporating regional-scale lateral variability (~50–100 km) in upper mantle structure into models of Earth deformation and sea level change associated with ice mass changes in West Antarctica. Regional-scale variability in upper mantle structure is found to impact relative sea level and crustal rate predictions for modern (last ~25–125 years) and projected (next ~300 years) ice mass changes, especially in coastal regions that undergo rapid ice mass loss.
Allison M. Chartrand, Ian M. Howat, Ian R. Joughin, and Benjamin E. Smith
The Cryosphere, 18, 4971–4992, https://doi.org/10.5194/tc-18-4971-2024, https://doi.org/10.5194/tc-18-4971-2024, 2024
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This study uses high-resolution remote-sensing data to show that shrinking of the West Antarctic Thwaites Glacier’s ice shelf (floating extension) is exacerbated by several sub-ice-shelf meltwater channels that form as the glacier transitions from full contact with the seafloor to fully floating. In mapping these channels, the position of the transition zone, and thinning rates of the Thwaites Glacier, this work elucidates important processes driving its rapid contribution to sea level rise.
Brad Reed, J. A. Mattias Green, Adrian Jenkins, and G. Hilmar Gudmundsson
The Cryosphere, 18, 4567–4587, https://doi.org/10.5194/tc-18-4567-2024, https://doi.org/10.5194/tc-18-4567-2024, 2024
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We use a numerical ice-flow model to simulate the response of a 1940s Pine Island Glacier to changes in melting beneath its ice shelf. A decadal period of warm forcing is sufficient to push the glacier into an unstable, irreversible retreat from its long-term position on a subglacial ridge to an upstream ice plain. This retreat can only be stopped when unrealistic cold forcing is applied. These results show that short warm anomalies can lead to quick and substantial increases in ice flux.
Tianming Ma, Zhuang Jiang, Minghu Ding, Pengzhen He, Yuansheng Li, Wenqian Zhang, and Lei Geng
The Cryosphere, 18, 4547–4565, https://doi.org/10.5194/tc-18-4547-2024, https://doi.org/10.5194/tc-18-4547-2024, 2024
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We constructed a box model to evaluate the isotope effects of atmosphere–snow water vapor exchange at Dome A, Antarctica. The results show clear and invisible diurnal changes in surface snow isotopes under summer and winter conditions, respectively. The model also predicts that the annual net effects of atmosphere–snow water vapor exchange would be overall enrichments in snow isotopes since the effects in summer appear to be greater than those in winter at the study site.
Robert G. Bingham, Julien A. Bodart, Marie G. P. Cavitte, Ailsa Chung, Rebecca J. Sanderson, Johannes C. R. Sutter, Olaf Eisen, Nanna B. Karlsson, Joseph A. MacGregor, Neil Ross, Duncan A. Young, David W. Ashmore, Andreas Born, Winnie Chu, Xiangbin Cui, Reinhard Drews, Steven Franke, Vikram Goel, John W. Goodge, A. Clara J. Henry, Antoine Hermant, Benjamin H. Hills, Nicholas Holschuh, Michelle R. Koutnik, Gwendolyn J.-M. C. Leysinger Vieli, Emma J. Mackie, Elisa Mantelli, Carlos Martín, Felix S. L. Ng, Falk M. Oraschewski, Felipe Napoleoni, Frédéric Parrenin, Sergey V. Popov, Therese Rieckh, Rebecca Schlegel, Dustin M. Schroeder, Martin J. Siegert, Xueyuan Tang, Thomas O. Teisberg, Kate Winter, Shuai Yan, Harry Davis, Christine F. Dow, Tyler J. Fudge, Tom A. Jordan, Bernd Kulessa, Kenichi Matsuoka, Clara J. Nyqvist, Maryam Rahnemoonfar, Matthew R. Siegfried, Shivangini Singh, Verjan Višnjević, Rodrigo Zamora, and Alexandra Zuhr
EGUsphere, https://doi.org/10.5194/egusphere-2024-2593, https://doi.org/10.5194/egusphere-2024-2593, 2024
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The ice sheets covering Antarctica have built up over millenia through successive snowfall events which become buried and preserved as internal surfaces of equal age detectable with ice-penetrating radar. This paper describes an international initiative to work together on this archival data to build a comprehensive 3-D picture of how old the ice is everywhere across Antarctica, and how this will be used to reconstruct past and predict future ice and climate behaviour.
Cari Rand, Richard S. Jones, Andrew N. Mackintosh, Brent Goehring, and Kat Lilly
EGUsphere, https://doi.org/10.5194/egusphere-2024-2674, https://doi.org/10.5194/egusphere-2024-2674, 2024
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In this study, we determine how recently samples from a mountain in East Antarctica were last covered by the East Antarctic ice sheet. By examining concentrations of carbon-14 in rock samples, we determined that all but the summit of the mountain was buried under glacial ice within the last 15 thousand years. Other methods of estimating past ice thicknesses are not sensitive enough to capture ice cover this recent, so we were previously unaware that ice at this site was thicker at this time.
Ann Kristin Klose, Violaine Coulon, Frank Pattyn, and Ricarda Winkelmann
The Cryosphere, 18, 4463–4492, https://doi.org/10.5194/tc-18-4463-2024, https://doi.org/10.5194/tc-18-4463-2024, 2024
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We systematically assess the long-term sea-level response from Antarctica to warming projected over the next centuries, using two ice-sheet models. We show that this committed Antarctic sea-level contribution is substantially higher than the transient sea-level change projected for the coming decades. A low-emission scenario already poses considerable risk of multi-meter sea-level increase over the next millennia, while additional East Antarctic ice loss unfolds under the high-emission pathway.
Christian Wirths, Thomas F. Stocker, and Johannes C. R. Sutter
The Cryosphere, 18, 4435–4462, https://doi.org/10.5194/tc-18-4435-2024, https://doi.org/10.5194/tc-18-4435-2024, 2024
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We investigated the influence of several regional climate models on the Antarctic Ice Sheet when applied as forcing for the Parallel Ice Sheet Model (PISM). Our study shows that the choice of regional climate model forcing results in uncertainties of around a tenth of those in future sea level rise projections and also affects the extent of grounding line retreat in West Antarctica.
Maria T. Kappelsberger, Martin Horwath, Eric Buchta, Matthias O. Willen, Ludwig Schröder, Sanne B. M. Veldhuijsen, Peter Kuipers Munneke, and Michiel R. van den Broeke
The Cryosphere, 18, 4355–4378, https://doi.org/10.5194/tc-18-4355-2024, https://doi.org/10.5194/tc-18-4355-2024, 2024
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The interannual variations in the height of the Antarctic Ice Sheet (AIS) are mainly due to natural variations in snowfall. Precise knowledge of these variations is important for the detection of any long-term climatic trends in AIS surface elevation. We present a new product that spatially resolves these height variations over the period 1992–2017. The product combines the strengths of atmospheric modeling results and satellite altimetry measurements.
Erwin Lambert and Clara Burgard
EGUsphere, https://doi.org/10.5194/egusphere-2024-2358, https://doi.org/10.5194/egusphere-2024-2358, 2024
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The effect of ocean warming on Antarctic ice sheet melting is a major source of uncertainty in estimates of future sea-level rise. We compare five melt models to show that ocean warming strongly increases melting. Despite their calibration on present-day melting, the models disagree on the amount of melt increase. In some important regions, the difference reaches a factor 100. We conclude that using various melt models is important to accurately estimate uncertainties in future sea-level rise.
Torsten Albrecht, Meike Bagge, and Volker Klemann
The Cryosphere, 18, 4233–4255, https://doi.org/10.5194/tc-18-4233-2024, https://doi.org/10.5194/tc-18-4233-2024, 2024
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We performed coupled ice sheet–solid Earth simulations and discovered a positive (forebulge) feedback mechanism for advancing grounding lines, supporting a larger West Antarctic Ice Sheet during the Last Glacial Maximum. During deglaciation we found that the stabilizing glacial isostatic adjustment feedback dominates grounding-line retreat in the Ross Sea, with a weak Earth structure. This may have consequences for present and future ice sheet stability and potential rates of sea-level rise.
W. Roger Buck
The Cryosphere, 18, 4165–4176, https://doi.org/10.5194/tc-18-4165-2024, https://doi.org/10.5194/tc-18-4165-2024, 2024
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Standard theory predicts that the edge of an ice shelf should bend downward. Satellite observations show that the edges of many ice shelves bend upward. A new theory for ice shelf bending is developed that, for the first time, includes the kind of vertical variations in ice flow properties expected for ice shelves. Upward bending of shelf edges is predicted as long as the ice surface is very cold and the ice flow properties depend strongly on temperature.
Johannes Feldmann, Anders Levermann, and Ricarda Winkelmann
The Cryosphere, 18, 4011–4028, https://doi.org/10.5194/tc-18-4011-2024, https://doi.org/10.5194/tc-18-4011-2024, 2024
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Here we show in simplified simulations that the (ir)reversibility of the retreat of instability-prone, Antarctica-type glaciers can strongly depend on the depth of the bed depression they rest on. If it is sufficiently deep, then the destabilized glacier does not recover from its collapsed state. Our results suggest that glaciers resting on a wide and deep bed depression, such as Antarctica's Thwaites Glacier, are particularly susceptible to irreversible retreat.
Marissa E. Dattler, Brooke Medley, and C. Max Stevens
The Cryosphere, 18, 3613–3631, https://doi.org/10.5194/tc-18-3613-2024, https://doi.org/10.5194/tc-18-3613-2024, 2024
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We developed an algorithm based on combining models and satellite observations to identify the presence of surface melt on the Antarctic Ice Sheet. We find that this method works similarly to previous methods by assessing 13 sites and the Larsen C ice shelf. Unlike previous methods, this algorithm is based on physical parameters, and updates to this method could allow the meltwater present on the Antarctic Ice Sheet to be quantified instead of simply detected.
Christoph Welling and The RNO-G Collaboration
The Cryosphere, 18, 3433–3437, https://doi.org/10.5194/tc-18-3433-2024, https://doi.org/10.5194/tc-18-3433-2024, 2024
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We report on the measurement of the index of refraction in glacial ice at radio frequencies. We show that radio echoes from within the ice can be associated with specific features of the ice conductivity and use this to determine the wave velocity. This measurement is especially relevant for the Radio Neutrino Observatory Greenland (RNO-G), a neutrino detection experiment currently under construction at Summit Station, Greenland.
Benjamin J. Davison, Anna E. Hogg, Carlos Moffat, Michael P. Meredith, and Benjamin J. Wallis
The Cryosphere, 18, 3237–3251, https://doi.org/10.5194/tc-18-3237-2024, https://doi.org/10.5194/tc-18-3237-2024, 2024
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Using a new dataset of ice motion, we observed glacier acceleration on the west coast of the Antarctic Peninsula. The speed-up began around January 2021, but some glaciers sped up earlier or later. Using a combination of ship-based ocean temperature observations and climate models, we show that the speed-up coincided with a period of unusually warm air and ocean temperatures in the region.
Floriane Provost, Dimitri Zigone, Emmanuel Le Meur, Jean-Philippe Malet, and Clément Hibert
The Cryosphere, 18, 3067–3079, https://doi.org/10.5194/tc-18-3067-2024, https://doi.org/10.5194/tc-18-3067-2024, 2024
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The recent calving of Astrolabe Glacier in November 2021 presents an opportunity to better understand the processes leading to ice fracturing. Optical-satellite imagery is used to retrieve the calving cycle of the glacier ice tongue and to measure the ice velocity and strain rates in order to document fracture evolution. We observed that the presence of sea ice for consecutive years has favoured the glacier extension but failed to inhibit the growth of fractures that accelerated in June 2021.
Hameed Moqadam and Olaf Eisen
EGUsphere, https://doi.org/10.5194/egusphere-2024-1674, https://doi.org/10.5194/egusphere-2024-1674, 2024
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This is an overview on methodologies that have been applied to map the internal reflection horizons, or ice-layer boundaries, of ice sheets on earth and other planets. We briefly explain radar applications in glaciology and the methods which have been used and published. There are summaries of the published work of the last two decades. Finally, we conclude by introducing the gaps and opportunities for further advancement in this field, and present possible future directions.
Cristina Gerli, Sebastian Rosier, G. Hilmar Gudmundsson, and Sainan Sun
The Cryosphere, 18, 2677–2689, https://doi.org/10.5194/tc-18-2677-2024, https://doi.org/10.5194/tc-18-2677-2024, 2024
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Recent efforts have focused on using AI and satellite imagery to track crevasses for assessing ice shelf damage and informing ice flow models. Our study reveals a weak connection between these observed products and damage maps inferred from ice flow models. While there is some improvement in crevasse-dense regions, this association remains limited. Directly mapping ice damage from satellite observations may not significantly improve the representation of these processes within ice flow models.
Charlotte M. Carter, Michael J. Bentley, Stewart S. R. Jamieson, Guy J. G. Paxman, Tom A. Jordan, Julien A. Bodart, Neil Ross, and Felipe Napoleoni
The Cryosphere, 18, 2277–2296, https://doi.org/10.5194/tc-18-2277-2024, https://doi.org/10.5194/tc-18-2277-2024, 2024
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We use radio-echo sounding data to investigate the presence of flat surfaces beneath the Evans–Rutford region in West Antarctica. These surfaces may be what remains of laterally continuous surfaces, formed before the inception of the West Antarctic Ice Sheet, and we assess two hypotheses for their formation. Tectonic structures in the region may have also had a control on the growth of the ice sheet by focusing ice flow into troughs adjoining these surfaces.
Rebecca B. Latto, Ross J. Turner, Anya M. Reading, and J. Paul Winberry
The Cryosphere, 18, 2061–2079, https://doi.org/10.5194/tc-18-2061-2024, https://doi.org/10.5194/tc-18-2061-2024, 2024
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The study of icequakes allows for investigation of many glacier processes that are unseen by typical reconnaissance methods. However, detection of such seismic signals is challenging due to low signal-to-noise levels and diverse source mechanisms. Here we present a novel algorithm that is optimized to detect signals from a glacier environment. We apply the algorithm to seismic data recorded in the 2010–2011 austral summer from the Whillans Ice Stream and evaluate the resulting event catalogue.
Rebecca B. Latto, Ross J. Turner, Anya M. Reading, Sue Cook, Bernd Kulessa, and J. Paul Winberry
The Cryosphere, 18, 2081–2101, https://doi.org/10.5194/tc-18-2081-2024, https://doi.org/10.5194/tc-18-2081-2024, 2024
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Seismic catalogues are potentially rich sources of information on glacier processes. In a companion study, we constructed an event catalogue for seismic data from the Whillans Ice Stream. Here, we provide a semi-automated workflow for consistent catalogue analysis using an unsupervised cluster analysis. We discuss the defining characteristics of identified signal types found in this catalogue and possible mechanisms for the underlying glacier processes and noise sources.
Jan De Rydt and Kaitlin Naughten
The Cryosphere, 18, 1863–1888, https://doi.org/10.5194/tc-18-1863-2024, https://doi.org/10.5194/tc-18-1863-2024, 2024
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The West Antarctic Ice Sheet is losing ice at an accelerating pace. This is largely due to the presence of warm ocean water around the periphery of the Antarctic continent, which melts the ice. It is generally assumed that the strength of this process is controlled by the temperature of the ocean. However, in this study we show that an equally important role is played by the changing geometry of the ice sheet, which affects the strength of the ocean currents and thereby the melt rates.
Hanwen Zhang, Richard F. Katz, and Laura A. Stevens
EGUsphere, https://doi.org/10.48550/arXiv.2311.01249, https://doi.org/10.48550/arXiv.2311.01249, 2024
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In Antarctica, supraglacial lakes are formed by melting near the grounding lines, where grounded ice sheets transition to floating ice shelves. We model the tidal flexure near the grounding lines and analyse its contribution to lake drainage through hydrofracturing. We show that tidal flexure and lake water pressure together control lake drainage in the Amery Ice Shelf, which indicates the importance of tidal stress to processes associated with hydrofracturing near the grounding lines.
Edmund J. Lea, Stewart S. R. Jamieson, and Michael J. Bentley
The Cryosphere, 18, 1733–1751, https://doi.org/10.5194/tc-18-1733-2024, https://doi.org/10.5194/tc-18-1733-2024, 2024
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We use the ice surface expression of the Gamburtsev Subglacial Mountains in East Antarctica to map the horizontal pattern of valleys and ridges in finer detail than possible from previous methods. In upland areas, valleys are spaced much less than 5 km apart, with consequences for the distribution of melting at the bed and hence the likelihood of ancient ice being preserved. Automated mapping techniques were tested alongside manual approaches, with a hybrid approach recommended for future work.
In-Woo Park, Emilia Kyung Jin, Mathieu Morlighem, and Kang-Kun Lee
The Cryosphere, 18, 1139–1155, https://doi.org/10.5194/tc-18-1139-2024, https://doi.org/10.5194/tc-18-1139-2024, 2024
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This study conducted 3D thermodynamic ice sheet model experiments, and modeled temperatures were compared with 15 observed borehole temperature profiles. We found that using incompressibility of ice without sliding agrees well with observed temperature profiles in slow-flow regions, while incorporating sliding in fast-flow regions captures observed temperature profiles. Also, the choice of vertical velocity scheme has a greater impact on the shape of the modeled temperature profile.
Sindhu Ramanath Tarekere, Lukas Krieger, Dana Floricioiu, and Konrad Heidler
EGUsphere, https://doi.org/10.5194/egusphere-2024-223, https://doi.org/10.5194/egusphere-2024-223, 2024
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Grounding lines are geophysical features that divide ice masses on the bedrock and floating ice shelves. Their accurate location is required for calculating the mass balance of ice sheets and glaciers in Antarctica and Greenland. Human experts still manually detect them in satellite-based interferometric radar images, which is inefficient given the growing volume of data. We have developed an artificial intelligence-based automatic detection algorithm to generate Antarctic-wide grounding lines.
Matthew A. Danielson and Philip J. Bart
The Cryosphere, 18, 1125–1138, https://doi.org/10.5194/tc-18-1125-2024, https://doi.org/10.5194/tc-18-1125-2024, 2024
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The post-Last Glacial Maximum (LGM) retreat of the West Antarctic Ice Sheet in the Ross Sea was more significant than for any other Antarctic sector. Here we combined the available dates of retreat with new mapping of sediment deposited by the ice sheet during overall retreat. Our work shows that the post-LGM retreat through the Ross Sea was not uniform. This uneven retreat can cause instability in the present-day Antarctic ice sheet configuration and lead to future runaway retreat.
Trystan Surawy-Stepney, Anna E. Hogg, Stephen L. Cornford, Benjamin J. Wallis, Benjamin J. Davison, Heather L. Selley, Ross A. W. Slater, Elise K. Lie, Livia Jakob, Andrew Ridout, Noel Gourmelen, Bryony I. D. Freer, Sally F. Wilson, and Andrew Shepherd
The Cryosphere, 18, 977–993, https://doi.org/10.5194/tc-18-977-2024, https://doi.org/10.5194/tc-18-977-2024, 2024
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Here, we use satellite observations and an ice flow model to quantify the impact of sea ice buttressing on ice streams on the Antarctic Peninsula. The evacuation of 11-year-old landfast sea ice in the Larsen B embayment on the East Antarctic Peninsula in January 2022 was closely followed by major changes in the calving behaviour and acceleration (30 %) of the ocean-terminating glaciers. Our results show that sea ice buttressing had a negligible direct role in the observed dynamic changes.
Andrew N. Hennig, David A. Mucciarone, Stanley S. Jacobs, Richard A. Mortlock, and Robert B. Dunbar
The Cryosphere, 18, 791–818, https://doi.org/10.5194/tc-18-791-2024, https://doi.org/10.5194/tc-18-791-2024, 2024
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A total of 937 seawater paired oxygen isotope (δ18O)–salinity samples collected during seven cruises on the SE Amundsen Sea between 1994 and 2020 reveal a deep freshwater source with δ18O − 29.4±1.0‰, consistent with the signature of local ice shelf melt. Local mean meteoric water content – comprised primarily of glacial meltwater – increased between 1994 and 2020 but exhibited greater interannual variability than increasing trend.
Qinggang Gao, Louise C. Sime, Alison J. McLaren, Thomas J. Bracegirdle, Emilie Capron, Rachael H. Rhodes, Hans Christian Steen-Larsen, Xiaoxu Shi, and Martin Werner
The Cryosphere, 18, 683–703, https://doi.org/10.5194/tc-18-683-2024, https://doi.org/10.5194/tc-18-683-2024, 2024
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Antarctic precipitation is a crucial component of the climate system. Its spatio-temporal variability impacts sea level changes and the interpretation of water isotope measurements in ice cores. To better understand its climatic drivers, we developed water tracers in an atmospheric model to identify moisture source conditions from which precipitation originates. We find that mid-latitude surface winds exert an important control on moisture availability for Antarctic precipitation.
Violaine Coulon, Ann Kristin Klose, Christoph Kittel, Tamsin Edwards, Fiona Turner, Ricarda Winkelmann, and Frank Pattyn
The Cryosphere, 18, 653–681, https://doi.org/10.5194/tc-18-653-2024, https://doi.org/10.5194/tc-18-653-2024, 2024
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We present new projections of the evolution of the Antarctic ice sheet until the end of the millennium, calibrated with observations. We show that the ocean will be the main trigger of future ice loss. As temperatures continue to rise, the atmosphere's role may shift from mitigating to amplifying Antarctic mass loss already by the end of the century. For high-emission scenarios, this may lead to substantial sea-level rise. Adopting sustainable practices would however reduce the rate of ice loss.
Hélène Seroussi, Vincent Verjans, Sophie Nowicki, Antony J. Payne, Heiko Goelzer, William H. Lipscomb, Ayako Abe-Ouchi, Cécile Agosta, Torsten Albrecht, Xylar Asay-Davis, Alice Barthel, Reinhard Calov, Richard Cullather, Christophe Dumas, Benjamin K. Galton-Fenzi, Rupert Gladstone, Nicholas R. Golledge, Jonathan M. Gregory, Ralf Greve, Tore Hattermann, Matthew J. Hoffman, Angelika Humbert, Philippe Huybrechts, Nicolas C. Jourdain, Thomas Kleiner, Eric Larour, Gunter R. Leguy, Daniel P. Lowry, Chistopher M. Little, Mathieu Morlighem, Frank Pattyn, Tyler Pelle, Stephen F. Price, Aurélien Quiquet, Ronja Reese, Nicole-Jeanne Schlegel, Andrew Shepherd, Erika Simon, Robin S. Smith, Fiammetta Straneo, Sainan Sun, Luke D. Trusel, Jonas Van Breedam, Peter Van Katwyk, Roderik S. W. van de Wal, Ricarda Winkelmann, Chen Zhao, Tong Zhang, and Thomas Zwinger
The Cryosphere, 17, 5197–5217, https://doi.org/10.5194/tc-17-5197-2023, https://doi.org/10.5194/tc-17-5197-2023, 2023
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Mass loss from Antarctica is a key contributor to sea level rise over the 21st century, and the associated uncertainty dominates sea level projections. We highlight here the Antarctic glaciers showing the largest changes and quantify the main sources of uncertainty in their future evolution using an ensemble of ice flow models. We show that on top of Pine Island and Thwaites glaciers, Totten and Moscow University glaciers show rapid changes and a strong sensitivity to warmer ocean conditions.
Lena Nicola, Ronja Reese, Moritz Kreuzer, Torsten Albrecht, and Ricarda Winkelmann
EGUsphere, https://doi.org/10.5194/egusphere-2023-2583, https://doi.org/10.5194/egusphere-2023-2583, 2023
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We identify potential oceanic gateways to Antarctic grounding lines based on high-resolution bathymetry data and examine the effect of critical access depths on basal melt rates. These gateways manifest the deepest topographic features that connect the deeper open ocean and the ice-shelf cavity. We detect 'prominent' oceanic gateways in some Antarctic regions and estimate an upper limit of melt rate changes in case all warm water masses gain access to the cavities.
Joel A. Wilner, Mathieu Morlighem, and Gong Cheng
The Cryosphere, 17, 4889–4901, https://doi.org/10.5194/tc-17-4889-2023, https://doi.org/10.5194/tc-17-4889-2023, 2023
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We use numerical modeling to study iceberg calving off of ice shelves in Antarctica. We examine four widely used mathematical descriptions of calving (
calving laws), under the assumption that Antarctic ice shelf front positions should be in steady state under the current climate forcing. We quantify how well each of these calving laws replicates the observed front positions. Our results suggest that the eigencalving and von Mises laws are most suitable for Antarctic ice shelves.
Cited articles
Abdalati, W., Zwally, H. J., Bindschadler, R., Csatho, B., Farrell, S. L.,
Fricker, H. A., Harding, D., Kwok, R., Lefsky, M., Markus, T., Marshak, A.,
Neumann, T., Palm, S., Schutz, B., Smith, B., Spinhirne, J., and Webb, C.:
The ICESat-2 Laser Altimetry Mission, Proc. IEEE, 98, 735–751,
https://doi.org/10.1109/jproc.2009.2034765, 2010.
Arcone, S. A., Jacobel, R., and Hamilton, G.: Unconformable stratigraphy in
East Antarctica: Part I. Large firn cosets, recrystallized growth, and model
evidence for intensified accumulation, J. Glaciol., 58, 240–252,
https://doi.org/10.3189/2012JoJ11J044, 2012.
Armitage, T. W. K., Wingham, D. J., and Ridout, A. L.: Meteorological Origin
of the Static Crossover Pattern Present in Low-Resolution-Mode CryoSat-2
Data Over Central Antarctica, Geosci. Remote Sens. Lett., IEEE,
11, 1295–1299, https://doi.org/10.1109/LGRS.2013.2292821, 2014.
Arthern, R. J., Wingham, D. J., and Ridout, A. L.: Controls on ERS altimeter
measurements over ice sheets: Footprint-scale topography, backscatter
fluctuations, and the dependence of microwave penetration depth on satellite
orientation, J. Geophys. Res.-Atmos., 106, 33471–33484,
https://doi.org/10.1029/2001jd000498, 2001.
Arthern, R. J., Winebrenner, D. P., and Vaughan, D. G.: Antarctic snow
accumulation mapped using polarization of 4.3-cm wavelength microwave
emission, J. Geophys. Res.-Atmos., 111, D06107,
https://doi.org/10.1029/2004jd005667, 2006.
Boisvert, L. N., Lee, J. N., Lenaerts, J. T. M., Noël, B., Broeke, M.
R., and Nolin, A. W.: Using remotely sensed data from AIRS to estimate the
vapor flux on the Greenland ice sheet: Comparisons with observations and a
regional climate model, J. Geophys. Res.-Atmos., 122,
202–229, https://doi.org/10.1002/2016JD025674, 2017.
Bromwich, D. H., Parish, T. R., and Zorman, C. A.: The confluence zone of
the intense katabatic winds at Terra Nova Bay, Antarctica, as derived from
airborne sastrugi surveys and mesoscale numerical modeling, J. Geophys. Res.-Atmos., 95, 5495–5509,
https://doi.org/10.1029/JD095iD05p05495, 1990.
Brunt, K. M., Neumann, T. A., and Larsen, C. F.: Assessment of altimetry using ground-based GPS data from the 88S Traverse, Antarctica, in support of ICESat-2, The Cryosphere, 13, 579–590, https://doi.org/10.5194/tc-13-579-2019, 2019a.
Brunt, K. M., Neumann, T. A., and Smith, B. E.: Assessment of ICESat-2 Ice
Sheet Surface Heights, Based on Comparisons Over the Interior of the
Antarctic Ice Sheet, Geophys. Res. Lett., 46, 13072–13078,
https://doi.org/10.1029/2019gl084886, 2019b.
Casey, K. A., Fudge, T. J., Neumann, T. A., Steig, E. J., Cavitte, M. G. P.,
and Blankenship, D. D.: The 1500 m South Pole ice core: recovering a 40 ka
environmental record, Ann. Glaciol., 55, 137–146,
https://doi.org/10.3189/2014AoG68A016, 2014.
Chambers, J. R., Smith, M. W., Quincey, D. J., Carrivick, J. L., Ross, A.
N., and James, M. R.: Glacial aerodynamic roughness estimates: uncertainty,
sensitivity and precision in field measurements, J. Geophys.
Res.-Earth Surf., e2019JF005167, https://doi.org/10.1029/2019JF005167, 2019.
Corbett, J. and Su, W.: Accounting for the effects of sastrugi in the CERES clear-sky Antarctic shortwave angular distribution models, Atmos. Meas. Tech., 8, 3163–3175, https://doi.org/10.5194/amt-8-3163-2015, 2015.
Das, I., Bell, R. E., Scambos, T. A., Wolovick, M., Creyts, T. T.,
Studinger, M., Frearson, N., Nicolas, J. P., Lenaerts, J. T. M., and van den
Broeke, M. R.: Influence of persistent wind scour on the surface mass
balance of Antarctica, Nat. Geosci., 6, 367, https://doi.org/10.1038/ngeo1766, 2013.
Dattler, M. E., Lenaerts, J. T. M., and Medley, B.: Significant Spatial
Variability in Radar-Derived West Antarctic Accumulation Linked to Surface
Winds and Topography, Geophys. Res. Lett., 46, 13126–13134,
https://doi.org/10.1029/2019gl085363, 2019.
Dominguez, R. T.: IceBridge DMS L1B Geolocated and Orthorectified Images,
Version 1. [2014, 2016]: NASA National Snow and Ice Data Center Distributed
Active Archive Center, https://doi.org/10.5067/OZ6VNOPMPRJ0,
2010, updated 2018.
Fahnestock, M. A., Scambos, T. A., Shuman, C. A., Athern, R. J.,
Winebrenner, D. P., and Kwok, R.: Snow megadune fields on the East Antarctic
Plateau: extreme atmosphere-ice interaction, Geophys. Res. Lett.,
27, 3719–3722, 2000.
Favier, V., Agosta, C., Parouty, S., Durand, G., Delaygue, G., Gallée, H., Drouet, A.-S., Trouvilliez, A., and Krinner, G.: An updated and quality controlled surface mass balance dataset for Antarctica, The Cryosphere, 7, 583–597, https://doi.org/10.5194/tc-7-583-2013, 2013.
Frezzotti, M., Urbini, S., Proposito, M., Scarchilli, C., and Gandolfi, S.:
Spatial and temporal variability of surface mass balance near Talos Dome,
East Antarctica, J. Geophys. Res.-Earth Surf., 112, F02032,
https://doi.org/10.1029/2006jf000638, 2007.
Gelaro, R., McCarty, W., Suárez, M. J., Todling, R., Molod, A., Takacs,
L., Randles, C. A., Darmenov, A., Bosilovich, M. G., Reichle, R., Wargan,
K., Coy, L., Cullather, R., Draper, C., Akella, S., Buchard, V., Conaty, A.,
Silva, A. M. D., Gu, W., Kim, G.-K., Koster, R., Lucchesi, R., Merkova, D.,
Nielsen, J. E., Partyka, G., Pawson, S., Putman, W., Rienecker, M.,
Schubert, S. D., Sienkiewicz, M., and Zhao, B.: The Modern-Era Retrospective
Analysis for Research and Applications, Version 2 (MERRA-2), J.
Climate, 30, 5419–5454, https://doi.org/10.1175/jcli-d-16-0758.1, 2017.
Gomez-Garcia, D., Rodriguez-Morales, F., Leuschen, C., and Gogineni, S.:
KU-Band radar altimeter for surface elevation measurements in polar regions
using a wideband chirp generator with improved linearity, 2012 IEEE
International Geoscience and Remote Sensing Symposium, 4617–4620, 2012.
Gorodetskaya, I. V., Tsukernik, M., Claes, K., Ralph, M. F., Neff, W. D.,
and Van Lipzig, N. P. M.: The role of atmospheric rivers in anomalous snow
accumulation in East Antarctica, Geophys. Res. Lett., 41,
6199–6206, https://doi.org/10.1002/2014gl060881, 2014.
Gow, A. J.: On the Accumulation and Seasonal Stratification Of Snow at the
South Pole, J. Glaciol., 5, 467–477, https://doi.org/10.3189/S002214300001844X,
1965.
Grima, C., Blankenship, D. D., Young, D. A., and Schroeder, D. M.: Surface
slope control on firn density at Thwaites Glacier, West Antarctica: Results
from airborne radar sounding, Geophys. Res. Lett., 41, 6787–6794,
https://doi.org/10.1002/2014GL061635, 2014.
Hamilton, G. S.: Topographic control of regional accumulation rate
variability at South Pole and implications for ice-core interpretation,
Ann. Glaciol., 39, 214–218, https://doi.org/10.3189/172756404781814050, 2004.
Haran, T., Bohlander, J., Scambos, T. A., Painter, T. H., and Fahnestock, M.
A.: MODIS Mosaic of Antarctica 2008–2009 (MOA2009) Image Map 2009: NASA
National Snow and Ice Data Center Distributed Active Archive Center,
https://doi.org/10.7265/N5KP8037, 2014.
Haran, T., Klinger, M., Bohlander, J., Fahnestock, M., Painter, T., and Scambos, T.: MEaSUREs MODIS Mosaic of Antarctica 2013–2014 (MOA2014) Image Map, Version 1, NASA National Snow and Ice Data Center Distributed Active Archive Center, Boulder, Colorado, USA, https://doi.org/10.5067/RNF17BP824UM, 2018, updated 2019.
Harpold, R., Yungel, J., Linkswiler, M., and Studinger, M.: Intra-scan
intersection method for the determination of pointing biases of an airborne
altimeter, Int. J. Remote Sens., 37, 648–668,
https://doi.org/10.1080/01431161.2015.1137989, 2016.
Harris, J. M.: An analysis of 5-day midtropospheric flow patterns for the
South Pole: 1985–1989, Tellus B, 44, 409–421,
https://doi.org/10.1034/j.1600-0889.1992.00016.x, 1992.
Helm, V., Humbert, A., and Miller, H.: Elevation and elevation change of Greenland and Antarctica derived from CryoSat-2, The Cryosphere, 8, 1539–1559, https://doi.org/10.5194/tc-8-1539-2014, 2014a.
Helm, V., Humbert, A., and Miller, H/: Elevation Model of Antarctica derived from CryoSat-2 in the period 2011 to 2013, links to DEM and uncertainty map as GeoTIFF, PANGAEA, https://doi.org/10.1594/PANGAEA.831392, 2014b.
Herron, M. M. and Langway, C. C.: Firn Densification: An Empirical Model,
J. Glaciol., 25, 373–385, https://doi.org/10.3189/S0022143000015239, 1980.
Hirasawa, N., Nakamura, H., and Yamanouchi, T.: Abrupt changes in
meteorological conditions observed at an inland Antarctic Station in
association with wintertime blocking, Geophys. Res. Lett., 27,
1911–1914, https://doi.org/10.1029/1999gl011039, 2000.
Johnson, A. J., Larsen, C. F., Murphy, N., Arendt, A. A., and Zirnheld, S.
L.: Mass balance in the Glacier Bay area of Alaska, USA, and British
Columbia, Canada, 1995–2011, using airborne laser altimetry, J.
Glaciol., 59, 632–648, https://doi.org/10.3189/2013JoG12J101, 2013.
King, J. C., Anderson, P. S., Vaughan, D. G., Mann, G. W., Mobbs, S. D., and
Vosper, S. B.: Wind-borne redistribution of snow across an Antarctic ice
rise, J. Geophys. Res.-Atmos., 109, D11104,
https://doi.org/10.1029/2003JD004361, 2004.
Kokhanovsky, A. A. and Zege, E. P.: Scattering optics of snow, Appl.
Optics, 43, 1589–1602, https://doi.org/10.1364/AO.43.001589, 2004.
Kovacs, A., Gow, A. J., and Morey, R. M.: The in-situ dielectric constant of
polar firn revisited, Cold Reg. Sci. Technol., 23, 245–256,
https://doi.org/10.1016/0165-232X(94)00016-Q, 1995.
Krabill, W., Abdalati, W., Frederick, E., Manizade, S., Martin, C., Sonntag,
J., Swift, R., Thomas, R., Wright, W., and Yungel, J.: Greenland ice sheet:
High-elevation balance and peripheral thinning, Science, 289, 428–430,
https://doi.org/10.1126/science.289.5478.428, 2000.
Krabill, W. B., Abdalati, W., Frederick, E. B., Manizade, S. S., Martin, C.
F., Sonntag, J. G., Swift, R. N., Thomas, R. H., and Yungel, J. G.: Aircraft
laser altimetry measurement of elevation changes of the greenland ice sheet:
technique and accuracy assessment, J. Geodynam., 34, 357–376,
https://doi.org/10.1016/s0264-3707(02)00040-6, 2002.
Kurtz, N. T., Galin, N., and Studinger, M.: An improved CryoSat-2 sea ice freeboard retrieval algorithm through the use of waveform fitting, The Cryosphere, 8, 1217–1237, https://doi.org/10.5194/tc-8-1217-2014, 2014.
Larsen, C. F.: IceBridge UAF Lidar Scanner L1B Geolocated Surface Elevation
Triplets, Version 1. [2017], NASA National Snow and Ice Data Center
Distributed Active Archive Center, https://doi.org/10.5067/AATE4JJ91EHC, 2010, updated 2018.
Larue, F., Picard, G., Arnaud, L., Ollivier, I., Delcourt, C., Lamare, M., Tuzet, F., Revuelto, J., and Dumont, M.: Snow albedo sensitivity to macroscopic surface roughness using a new ray-tracing model, The Cryosphere, 14, 1651–1672, https://doi.org/10.5194/tc-14-1651-2020, 2020.
Leroux, C. and Fily, M.: Modeling the effect of sastrugi on snow
reflectance, J. Geophys. Res.-Planets, 103, 25779–25788,
https://doi.org/10.1029/98JE00558, 1998.
Leuschen, C.: IceBridge Snow Radar L1B Geolocated Radar Echo Strength
Profiles, Version 2. [2014, 2016], NASA National Snow and Ice Data Center
Distributed Active Archive Center, https://doi.org/10.5067/FAZTWP500V70, 2014, updated 2018.
Leuschen, C., Gogineni, P., Rodriguez-Morales, F., Paden, J., and Allen, C.:
IceBridge MCoRDS L2 Ice Thickness, Version 1: NASA National Snow and Ice
Data Center Distributed Active Archive Center, https://doi.org/10.5067/GDQ0CUCVTE2Q, 2010, updated 2018.
Lister, H. and Pratt, G.: Geophysical Investigations of the Commonwealth
Trans-Antarctic Expedition, The Geographical Journal published by The Royal
Geographical Society (with the Institute of British Geographers), 125,
343–354, 1959.
Liu, H., Jezek, K., Li, B., and Zhao, Z.: Radarsat Antarctic Mapping Project
Digital Elevation Model, Version 2, NASA National Snow and Ice Data Center
Distributed Active Archive Center, https://doi.org/10.5067/8JKNEW6BFRVD, 2015.
Magand, O., Genthon, C., Fily, M., Krinner, G., Picard, G., Frezzotti, M.,
and Ekaykin, A. A.: An up-to-date quality-controlled surface mass balance
data set for the 90∘–180∘ E Antarctica sector and
1950–2005 period, J. Geophys. Res.-Atmos., 112, D12106,
https://doi.org/10.1029/2006jd007691, 2007.
Markus, T., Neumann, T., Martino, A., Abdalati, W., Brunt, K., Csatho, B.,
Farrell, S., Fricker, H., Gardner, A., Harding, D., Jasinski, M., Kwok, R.,
Magruder, L., Lubin, D., Luthcke, S., Morison, J., Nelson, R.,
Neuenschwander, A., Palm, S., Popescu, S., Shum, C. K., Schutz, B. E.,
Smith, B., Yang, Y., and Zwally, J.: The Ice, Cloud, and land Elevation
Satellite-2 (ICESat-2): Science requirements, concept, and implementation,
Remote Sens. Environ., 190, 260–273, https://doi.org/10.1016/j.rse.2016.12.029, 2017.
Martin, C. F., Krabill, W. B., Manizade, S. S., Russell, R. L., Sonntag, J.
G., Swift, R. N., and Yungel, J. K.: Airborne Topographic Mapper Calibration
Procedures and Accuracy Assessment, NASA Goddard Space Flight Center, Greenbelt, MD, report number NASA/TM-2012-215891, GSFC.TM.5893.2012, available at: https://ntrs.nasa.gov/citations/20120008479 (last access: September 2020), 2012.
McConnell, J. R., Bales, R. C., and Davis, D. R.: Recent intra-annual snow
accumulation at South Pole: Implications for ice core interpretation,
J. Geophys. Res.-Atmos., 102, 21947–21954,
https://doi.org/10.1029/97jd00848, 1997.
Medley, B., Joughin, I., Das, S. B., Steig, E. J., Conway, H., Gogineni, S.,
Criscitiello, A. S., McConnell, J. R., Smith, B. E., van den Broeke, M. R.,
Lenaerts, J. T. M., Bromwich, D. H., and Nicolas, J. P.: Airborne-radar and
ice-core observations of annual snow accumulation over Thwaites Glacier,
West Antarctica confirm the spatiotemporal variability of global and
regional atmospheric models, Geophys. Res. Lett., 40, 3649–3654,
https://doi.org/10.1002/grl.50706, 2013.
Medley, B., Joughin, I., Smith, B. E., Das, S. B., Steig, E. J., Conway, H., Gogineni, S., Lewis, C., Criscitiello, A. S., McConnell, J. R., van den Broeke, M. R., Lenaerts, J. T. M., Bromwich, D. H., Nicolas, J. P., and Leuschen, C.: Constraining the recent mass balance of Pine Island and Thwaites glaciers, West Antarctica, with airborne observations of snow accumulation, The Cryosphere, 8, 1375–1392, https://doi.org/10.5194/tc-8-1375-2014, 2014.
Medley, B., Ligtenberg, S. R. M., Joughin, I., Van den Broeke, M. R.,
Gogineni, S., and Nowicki, S.: Antarctic firn compaction rates from
repeat-track airborne radar data: I. Methods, Ann. Glaciol., 56,
155–166, https://doi.org/10.3189/2015AoG70A203, 2015.
Morlighem, M., Rignot, E., Binder, T., Blankenship, D., Drews, R., Eagles,
G., Eisen, O., Ferraccioli, F., Forsberg, R., Fretwell, P., Goel, V.,
Greenbaum, J. S., Gudmundsson, H., Guo, J., Helm, V., Hofstede, C., Howat,
I., Humbert, A., Jokat, W., Karlsson, N. B., Lee, W. S., Matsuoka, K.,
Millan, R., Mouginot, J., Paden, J., Pattyn, F., Roberts, J., Rosier, S.,
Ruppel, A., Seroussi, H., Smith, E. C., Steinhage, D., Sun, B., Broeke, M.
R. V. D., Ommen, T. D. V., Wessem, M. V., and Young, D. A.: Deep glacial
troughs and stabilizing ridges unveiled beneath the margins of the Antarctic
ice sheet, Nat. Geosci., 13, 132–137, https://doi.org/10.1038/s41561-019-0510-8, 2020.
Mosley-Thompson, E., Paskievitch, J. F., Gow, A. J., and Thompson, L. G.:
Late 20th Century increase in South Pole snow accumulation, J. Geophys. Res.-Atmos., 104, 3877–3886, https://doi.org/10.1029/1998jd200092,
1999.
Mouginot, J., Rignot, E., and Scheuchl, B.: Continent-Wide, Interferometric
SAR Phase, Mapping of Antarctic Ice Velocity, Geophys. Res. Lett.,
46, 9710–9718, https://doi.org/10.1029/2019gl083826, 2019.
Nicolas, J. P. and Bromwich, D. H.: Climate of West Antarctica and
Influence of Marine Air Intrusions, J. Climate, 24, 49–67,
https://doi.org/10.1175/2010jcli3522.1, 2011.
Nilsson, J., Gardner, A., Sandberg Sørensen, L., and Forsberg, R.: Improved retrieval of land ice topography from CryoSat-2 data and its impact for volume-change estimation of the Greenland Ice Sheet, The Cryosphere, 10, 2953–2969, https://doi.org/10.5194/tc-10-2953-2016, 2016.
Nolin, A. W. and Payne, M. C.: Classification of glacier zones in western
Greenland using albedo and surface roughness from the Multi-angle Imaging
SpectroRadiometer (MISR), Remote Sens. Environ., 107, 264–275,
https://doi.org/10.1016/j.rse.2006.11.004, 2007.
Nolin, A. W., Fetterer, F. M., and Scambos, T. A.: Surface roughness
characterizations of sea ice and ice sheets: case studies with MISR data,
IEEE T. Geosci. Remote, 40, 1605–1615,
https://doi.org/10.1109/TGRS.2002.801581, 2002.
Nolin, A. W. and Mar, E.: Arctic Sea Ice Surface Roughness Estimated from
Multi-Angular Reflectance Satellite Imagery, Remote Sensing, 11, 50, 2018.
NSIDC: Operation IceBridge Data Portal, available at: https://nsidc.org/icebridge/portal, last access: 2019.
Paden, J., Li, J., Leuschen, C., Rodriguez-Morales, F., and Hale, R.:
IceBridge Ku-Band Radar L1B Geolocated Radar Echo Strength Profiles, Version
2., NASA National Snow and Ice Data Center Distributed Active Archive
Center, https://doi.org/10.5067/D7DX7J7J5JN9, 2014, updated
2018.
Palm, S. P., Kayetha, V., Yang, Y., and Pauly, R.: Blowing snow sublimation and transport over Antarctica from 11 years of CALIPSO observations, The Cryosphere, 11, 2555–2569, https://doi.org/10.5194/tc-11-2555-2017, 2017.
Panzer, B., Gomez-Garcia, D., Leuschen, C., Paden, J., Rodriguez-Morales,
F., Patel, A., Markus, T., Holt, B., and Gogineni, P.: An ultra-wideband,
microwave radar for measuring snow thickness on sea ice and mapping
near-surface internal layers in polar firn, J. Glaciol., 59,
244–254, https://doi.org/10.3189/2013JoG12J128, 2013.
Picciotto, E., Crozaz, G., and De Breuck, W.: Accumulation on the South Pole
– Queen Maud Land Traverse, 1964–1968, in: Antarctic Snow and Ice Studies
II, edited by: Crary, A. P., Antarctic Research Series, 16, American
Geophysical Union, Washinton, D.C., 257–315, 1971.
Rodriguez-Morales, F., Gogineni, S., Leuschen, C. J., Paden, J. D., Jilu,
L., Lewis, C. C., Panzer, B., Gomez-Garcia Alvestegui, D., Patel, A., Byers,
K., Crowe, R., Player, K., Hale, R. D., Arnold, E. J., Smith, L., Gifford,
C. M., Braaten, D., and Panton, C.: Advanced Multifrequency Radar
Instrumentation for Polar Research, Geoscience and Remote Sensing, IEEE
Transactions, 52, 2824–2842, https://doi.org/10.1109/TGRS.2013.2266415, 2014.
Scagliola, M.: CryoSat footprints, Technical Note, ESA Document
XCRY-GSEG-EOPG-TN-13-0013, 2013.
Scambos, T. A. and Fahnestock, M. A.: Improving digital elevation models
over ice sheets using AVHRR-based photoclinometry, J. Glaciol.,
44, 97–103, https://doi.org/10.3189/S0022143000002392, 1998.
Scambos, T. A., Frezzotti, M., Haran, T., Bohlander, J., Lenaerts, J. T. M.,
Van Den Broeke, M. R., Jezek, K., Long, D., Urbini, S., Farness, K.,
Neumann, T., Albert, M., and Winther, J. G.: Extent of low-accumulation
“wind glaze” areas on the East Antarctic plateau: implications for
continental ice mass balance, J. Glaciol., 58, 633–647,
https://doi.org/10.3189/2012JoG11J232, 2012.
Slater, T., Shepherd, A., McMillan, M., Muir, A., Gilbert, L., Hogg, A. E., Konrad, H., and Parrinello, T.: A new digital elevation model of Antarctica derived from CryoSat-2 altimetry, The Cryosphere, 12, 1551–1562, https://doi.org/10.5194/tc-12-1551-2018, 2018.
Smith, B., Fricker, H. A., Holschuh, N., Gardner, A. S., Adusumilli, S.,
Brunt, K. M., Csatho, B., Harbeck, K., Huth, A., Neumann, T., Nilsson, J.,
and Siegfried, M. R.: Land ice height-retrieval algorithm for NASA's
ICESat-2 photon-counting laser altimeter, Remote Sens. Environ.,
233, 111352, https://doi.org/10.1016/j.rse.2019.111352, 2019.
Smith, B. E., Raymond, C. F., and Scambos, T.: Anisotropic texture of ice
sheet surfaces, J. Geophys. Res.-Earth Surf., 111, F01019,
https://doi.org/10.1029/2005JF000393, 2006.
Smith, M. W.: Roughness in the Earth Sciences, Earth-Sci. Rev., 136,
202–225, https://doi.org/10.1016/j.earscirev.2014.05.016, 2014.
Studinger, M.: IceBridge ATM L1B Elevation and Return Strength, Version 2.
[2014, 2016], NASA National Snow and Ice Data Center Distributed Active
Archive Center, https://doi.org/10.5067/19SIM5TXKPGT, 2013,
updated 2018.
Studinger, M.: IceBridge ATM L2 ICESSN Elevation, Slope, and Roughness,
Version 2. [2014, 2016], NASA National Snow and Ice Data Center Distributed
Active Archive Center, https://doi.org/10.5067/CPRXXK3F39RV, 2014, updated 2018.
Studinger, M., Bell, R. E., Fitzgerald, P. G., and Buck, W. R.: Crustal
architecture of the Transantarctic Mountains between the Scott and Reedy
Glacier region and South Pole from aerogeophysical data, Earth Planet.
Sc. Lett., 250, 182–199, https://doi.org/10.1016/j.epsl.2006.07.035, 2006.
Taylor, L. D.: Glaciological studies on the South Pole Traverse 1962–1963,
in: Antarctic Snow and Ice Studies II, edited by: Crary, A. P., Antarctic
Research Series, 16, American Geophysical Union, Washington, D.C., 209–224,
1971.
Thomas, R. H. and Investigators, P.: Program for arctic regional climate
assessment (PARCA): Goals, key findings, and future directions, J.
Geophys. Res.-Atmos., 106, 33691–33705, https://doi.org/10.1029/2001jd900042,
2001.
van der Veen, C. J., Krabill, W. B., Csatho, B. M., and Bolzan, J. F.:
Surface roughness on the Greenland ice sheet from airborne laser altimetry,
Geophys. Res. Lett., 25, 3887–3890, https://doi.org/10.1029/1998gl900041, 1998.
van der Veen, C. J., Ahn, Y., Csatho, B. M., Mosley-Thompson, E., and
Krabill, W. B.: Surface roughness over the northern half of the Greenland
Ice Sheet from airborne laser altimetry, J. Geophys.
Res.-Earth Surf., 114, F01001, https://doi.org/10.1029/2008jf001067, 2009.
Vaughan, D. G., Comiso, J. C., Allison, I., Carrasco, J., Kaser, G., Kwok,
R., Mote, P., Murray, T., Paul, F., Ren, J., Rignot, E., Solomina, O.,
Steffen, K., and Zhang, T.: Observations: Cryosphere, in: Climate Change
2013: The Physical Science Basis. Contribution of Working Group I to the
Fifth Assessment Report of the Intergovernmental Panel on Climate Change,
edited by: Stocker, T. F., Qin, D., Plattner, G.-K., Tignor, M., Allen, S.
K., Boschung, J., Nauels, A., Xia, Y., Bex, V., and Midgley, P. M.,
Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA
2013.
Warren, S. G., Brandt, R. E., and O'Rawe Hinton, P.: Effect of surface
roughness on bidirectional reflectance of Antarctic snow, J.
Geophys. Res.-Planets, 103, 25789–25807, https://doi.org/10.1029/98JE01898,
1998.
Wingham, D. J., Francis, C. R., Baker, S., Bouzinac, C., Brockley, D.,
Cullen, R., de Chateau-Thierry, P., Laxon, S. W., Mallow, U., Mavrocordatos,
C., Phalippou, L., Ratier, G., Rey, L., Rostan, F., Viau, P., and Wallis, D.
W.: CryoSat: A mission to determine the fluctuations in Earth's land and
marine ice fields, in: Natural Hazards and Oceanographic Processes from
Satellite Data, edited by: Singh, R. P. and Shea, M. A., Adv. Space
Res.-Series, 4, 841–871, 2006.
Winski, D. A., Fudge, T. J., Ferris, D. G., Osterberg, E. C., Fegyveresi, J. M., Cole-Dai, J., Thundercloud, Z., Cox, T. S., Kreutz, K. J., Ortman, N., Buizert, C., Epifanio, J., Brook, E. J., Beaudette, R., Severinghaus, J., Sowers, T., Steig, E. J., Kahle, E. C., Jones, T. R., Morris, V., Aydin, M., Nicewonger, M. R., Casey, K. A., Alley, R. B., Waddington, E. D., Iverson, N. A., Dunbar, N. W., Bay, R. C., Souney, J. M., Sigl, M., and McConnell, J. R.: The SP19 chronology for the South Pole Ice Core – Part 1: volcanic matching and annual layer counting, Clim. Past, 15, 1793–1808, https://doi.org/10.5194/cp-15-1793-2019, 2019.
Yi, D., Harbeck, J. P., Manizade, S. S., Kurtz, N. T., Studinger, M., and
Hofton, M.: Arctic Sea Ice Freeboard Retrieval With Waveform Characteristics
for NASA's Airborne Topographic Mapper (ATM) and Land, Vegetation, and Ice
Sensor (LVIS), Ieee T. Geosci. Remote, 53,
1403–1410, https://doi.org/10.1109/tgrs.2014.2339737, 2015.
Zwally, H. J., Schutz, B., Abdalati, W., Abshire, J., Bentley, C., Brenner,
A., Bufton, J., Dezio, J., Hancock, D., Harding, D., Herring, T., Minster,
B., Quinn, K., Palm, S., Spinhirne, J., and Thomas, R.: ICESat's laser
measurements of polar ice, atmosphere, ocean, and land, J.
Geodynam., 34, 405–445, https://doi.org/10.1016/s0264-3707(02)00042-x, 2002.
Short summary
We use repeat airborne geophysical data consisting of laser altimetry, snow, and Ku-band radar and optical imagery to analyze the spatial and temporal variability in surface roughness, slope, wind deposition, and snow accumulation at 88° S. We find small–scale variability in snow accumulation based on the snow radar subsurface layering, indicating areas of strong wind redistribution are prevalent at 88° S. There is no slope–independent relationship between surface roughness and accumulation.
We use repeat airborne geophysical data consisting of laser altimetry, snow, and Ku-band radar...
