Articles | Volume 14, issue 2
https://doi.org/10.5194/essd-14-535-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/essd-14-535-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description paper
| 
08 Feb 2022
Data description paper |
| 08 Feb 2022
| 08 Feb 2022
A high-resolution Antarctic grounding zone product from ICESat-2 laser altimetry
Bristol Glaciology Centre, School of Geographical Sciences,
University of Bristol, Bristol, BS8 1SS, UK
Geoffrey J. Dawson
Bristol Glaciology Centre, School of Geographical Sciences,
University of Bristol, Bristol, BS8 1SS, UK
Stephen J. Chuter
Bristol Glaciology Centre, School of Geographical Sciences,
University of Bristol, Bristol, BS8 1SS, UK
Jonathan L. Bamber
Bristol Glaciology Centre, School of Geographical Sciences,
University of Bristol, Bristol, BS8 1SS, UK
Department of Aerospace and Geodesy, Data Science in Earth
Observation, Technical University of Munich, 85521 Ottobrunn, Germany
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Cited articles
Bamber, J. L. and Dawson, G. J.: Complex evolving patterns of mass loss from
Antarctica's largest glacier, Nat. Geosci., 13, 127–131, https://doi.org/10.1038/s41561-019-0527-z,
2020.
Bamber, J. L., Riva, R. E. M., Vermeersen, B. L. A., and Lebrocq, A. M.:
Reassessment of the potential sea-level rise from a collapse of the west
antarctic ice sheet, Science, 324, 901–903, https://doi.org/10.1126/science.1169335, 2009.
Bindschadler, R., Vornberger, P., Fleming, A., Fox, A., Mullins, J., Binnie,
D., Paulsen, S. J., Granneman, B., and Gorodetzky, D.: The Landsat Image
Mosaic of Antarctica, Remote Sens. Environ., 112, 4214–4226,
https://doi.org/10.1016/J.RSE.2008.07.006, 2008.
Bindschadler, R., Choi, H., Wichlacz, A., Bingham, R., Bohlander, J., Brunt, K., Corr, H., Drews, R., Fricker, H., Hall, M., Hindmarsh, R., Kohler, J., Padman, L., Rack, W., Rotschky, G., Urbini, S., Vornberger, P., and Young, N.: Getting around Antarctica: new high-resolution mappings of the grounded and freely-floating boundaries of the Antarctic ice sheet created for the International Polar Year, The Cryosphere, 5, 569–588, https://doi.org/10.5194/tc-5-569-2011, 2011.
Brancato, V., Rignot, E., Milillo, P., Morlighem, M., Mouginot, J., An, L.,
Scheuchl, B., Jeong, S., Rizzoli, P., Bueso Bello, J. L., and Prats-Iraola,
P.: Grounding Line Retreat of Denman Glacier, East Antarctica, Measured With
COSMO-SkyMed Radar Interferometry Data, Geophys. Res. Lett., 47, e2019GL086291,
https://doi.org/10.1029/2019GL086291, 2020.
Brunt, K. M., Fricker, H. A., Padman, L., and O'Neel, S.: ICESat-derived
Grounding Zone for Antarctic Ice Shelves, National Snow and Ice Data Center [data set], Boulder, Colorado,
https://doi.org/10.7265/N5CF9N19, 2010a.
Brunt, K. M., Fricker, H. A., Padman, L., Scambos, T. A., and O'Neel, S.:
Mapping the grounding zone of the Ross Ice Shelf, Antarctica, using ICESat
laser altimetry, Ann. Glaciol., 51, 71–79, https://doi.org/10.3189/172756410791392790, 2010b.
Brunt, K. M., Fricker, H. A., and Padman, L.: Analysis of ice plains of the
Filchner-Ronne Ice Shelf, Antarctica, using ICESat laser altimetry, J.
Glaciol., 57, 965–975, https://doi.org/10.3189/002214311798043753, 2011.
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, 2019.
Christie, F. D. W., Bingham, R. G., Gourmelen, N., Tett, S. F. B., and Muto,
A.: Four-decade record of pervasive grounding line retreat along the
Bellingshausen margin of West Antarctica, Geophys. Res. Lett., 43,
5741–5749, https://doi.org/10.1002/2016GL068972, 2016.
Christie, F. D. W., Bingham, R. G., Gourmelen, N., Steig, E. J., Bisset, R. R., Pritchard, H. D., Snow, K., and Tett, S. F. B.: Glacier change along West Antarctica's Marie Byrd Land Sector and links to inter-decadal atmosphere–ocean variability, The Cryosphere, 12, 2461–2479, https://doi.org/10.5194/tc-12-2461-2018, 2018.
Chuter, S. J., Martín-Español, A., Wouters, B., and Bamber, J. L.:
Mass balance reassessment of glaciers draining into the Abbot and Getz Ice
Shelves of West Antarctica, Geophys. Res. Lett., 44, 7328–7337, https://doi.org/10.1002/2017GL073087,
2017.
Cooper, M. A., Jordan, T. M., Schroeder, D. M., Siegert, M. J., Williams, C. N., and Bamber, J. L.: Subglacial roughness of the Greenland Ice Sheet: relationship with contemporary ice velocity and geology, The Cryosphere, 13, 3093–3115, https://doi.org/10.5194/tc-13-3093-2019, 2019.
Dawson, G. J. and Bamber, J. L.: Antarctic Grounding Line Mapping From
CryoSat-2 Radar Altimetry, Geophys. Res. Lett., 44, 11886–11893,
https://doi.org/10.1002/2017GL075589, 2017.
Dawson, G. J. and Bamber, J. L.: Measuring the location and width of the Antarctic grounding zone using CryoSat-2, The Cryosphere, 14, 2071–2086, https://doi.org/10.5194/tc-14-2071-2020, 2020.
DeConto, R. M. and Pollard, D.: Contribution of Antarctica to past and
future sea-level rise, Nature, 531, 591–597, https://doi.org/10.1038/nature17145,
2016.
Depoorter, M. A., Bamber, J. L., Griggs, J. A., Lenaerts, J. T. M.,
Ligtenberg, S. R. M., Van Den Broeke, M. R., and Moholdt, G.: Calving fluxes
and basal melt rates of Antarctic ice shelves, Nature, 502, 89–92,
https://doi.org/10.1038/nature12567, 2013.
Dutrieux, P., Vaughan, D. G., Corr, H. F. J., Jenkins, A., Holland, P. R., Joughin, I., and Fleming, A. H.: Pine Island glacier ice shelf melt distributed at kilometre scales, The Cryosphere, 7, 1543–1555, https://doi.org/10.5194/tc-7-1543-2013, 2013.
ESA: Antarctic Ice Sheet Climate Change Initiative, Grounding Line Locations
for the Ross and Byrd Glaciers, Antarctica, Antarctica, 2011–2017, v1.0,
European Space Agency (ESA) Centre for Environmental Data Analysis [data set], 2017.
Favier, L., Durand, G., Cornford, S. L., Gudmundsson, G. H., Gagliardini,
O., Gillet-Chaulet, F., Zwinger, T., Payne, A. J., and Le Brocq, A. M.:
Retreat of Pine Island Glacier controlled by marine ice-sheet instability,
Nat. Clim. Change, 4, 117–121, https://doi.org/10.1038/nclimate2094, 2014.
Fretwell, P., Pritchard, H. D., Vaughan, D. G., Bamber, J. L., Barrand, N. E., Bell, R., Bianchi, C., Bingham, R. G., Blankenship, D. D., Casassa, G., Catania, G., Callens, D., Conway, H., Cook, A. J., Corr, H. F. J., Damaske, D., Damm, V., Ferraccioli, F., Forsberg, R., Fujita, S., Gim, Y., Gogineni, P., Griggs, J. A., Hindmarsh, R. C. A., Holmlund, P., Holt, J. W., Jacobel, R. W., Jenkins, A., Jokat, W., Jordan, T., King, E. C., Kohler, J., Krabill, W., Riger-Kusk, M., Langley, K. A., Leitchenkov, G., Leuschen, C., Luyendyk, B. P., Matsuoka, K., Mouginot, J., Nitsche, F. O., Nogi, Y., Nost, O. A., Popov, S. V., Rignot, E., Rippin, D. M., Rivera, A., Roberts, J., Ross, N., Siegert, M. J., Smith, A. M., Steinhage, D., Studinger, M., Sun, B., Tinto, B. K., Welch, B. C., Wilson, D., Young, D. A., Xiangbin, C., and Zirizzotti, A.: Bedmap2: improved ice bed, surface and thickness datasets for Antarctica, The Cryosphere, 7, 375–393, https://doi.org/10.5194/tc-7-375-2013, 2013.
Fricker, H. A. and Padman, L.: Ice shelf grounding zone structure from
ICESat laser altimetry, Geophys. Res. Lett., 33, L15502, https://doi.org/10.1029/2006GL026907, 2006.
Fricker, H. A., Coleman, R., Padman, L., Scambos, T. A., Bohlander, J., and
Brunt, K. M.: Mapping the grounding zone of the Amery Ice Shelf, East
Antarctica using InSAR, MODIS and ICESat, Antarct. Sci., 21, 515–532,
https://doi.org/10.1017/S095410200999023X, 2009.
Fricker, H. A., Arndt, P., Brunt, K. M., Datta, R. T., Fair, Z., Jasinski, M. F., Kingslake, J., Magruder, L. A., Moussavi, M., Pope, A., Spergel, J. J., Stoll, J. D. and Wouters, B.: ICESat-2 Meltwater Depth Estimates: Application to Surface Melt on Amery Ice Shelf, East Antarctica, Geophys. Res. Lett., 48, e2020GL090550, https://doi.org/10.1029/2020GL090550, 2021.
Friedl, P., Weiser, F., Fluhrer, A., and Braun, M. H.: Remote sensing of
glacier and ice sheet grounding lines: A review, Earth-Sci. Rev., 201,
102948, https://doi.org/10.1016/j.earscirev.2019.102948, 2020.
Gardner, A. S., Moholdt, G., Scambos, T., Fahnstock, M., Ligtenberg, S., van den Broeke, M., and Nilsson, J.: Increased West Antarctic and unchanged East Antarctic ice discharge over the last 7 years, The Cryosphere, 12, 521–547, https://doi.org/10.5194/tc-12-521-2018, 2018.
Hogg, A. E., Shepherd, A., Gilbert, L., Muir, A., and Drinkwater, M. R.:
Mapping ice sheet grounding lines with CryoSat-2, Adv. Sp. Res., 62,
1191–1202, https://doi.org/10.1016/j.asr.2017.03.008, 2018.
Horgan, H. J. and Anandakrishnan, S.: Static grounding lines and dynamic ice
streams: Evidence from the Siple Coast, West Antarctica, Geophys. Res.
Lett., 33, L18502, https://doi.org/10.1029/2006GL027091, 2006.
Howat, I. M., Porter, C., Smith, B. E., Noh, M.-J., and Morin, P.: The Reference Elevation Model of Antarctica, The Cryosphere, 13, 665–674, https://doi.org/10.5194/tc-13-665-2019, 2019.
Joughin, I., Smith, B. E., and Medley, B.: Marine ice sheet collapse
potentially under way for the Thwaites Glacier Basin, West Antarctica,
Science, 344, 735–738, https://doi.org/10.1126/science.1249055, 2014.
Khazendar, A., Schodlok, M. P., Fenty, I., Ligtenberg, S. R. M., Rignot, E., and van den Broeke, M. R.: Observed thinning of Totten Glacier is linked to coastal polynya variability, Nat. Commun., 4, 2857, https://doi.org/10.1038/ncomms3857, 2013.
Konrad, H., Shepherd, A., Gilbert, L., Hogg, A. E., McMillan, M., Muir, A.,
and Slater, T.: Net retreat of Antarctic glacier grounding lines, Nat.
Geosci., 11, 258–262, https://doi.org/10.1038/s41561-018-0082-z, 2018.
Li, T., Dawson, G. J., Chuter, S. J., and Bamber, J. L.: Mapping the grounding zone of Larsen C Ice Shelf, Antarctica, from ICESat-2 laser altimetry, The Cryosphere, 14, 3629–3643, https://doi.org/10.5194/tc-14-3629-2020, 2020.
Li, T., Dawson, G. J., Chuter, S. J., and Bamber, J. L.: ICESat-2-derived
grounding zone product for Antarctica, University of Bristol [data set],
https://doi.org/10.5523/bris.bnqqyngt89eo26qk8keckglww, 2021.
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.
Marsh, O. J., Fricker, H. A., Siegfried, M. R., Christianson, K., Nicholls,
K. W., Corr, H. F. J., and Catania, G.: High basal melting forming a channel
at the grounding line of Ross Ice Shelf, Antarctica, Geophys. Res. Lett.,
43, 250–255, https://doi.org/10.1002/2015GL066612, 2016.
Milillo, P., Rignot, E., Mouginot, J., Scheuchl, B., Morlighem, M., Li, X.,
and Salzer, J. T.: On the Short-term Grounding Zone Dynamics of Pine Island
Glacier, West Antarctica, Observed With COSMO-SkyMed Interferometric Data,
Geophys. Res. Lett., 44, 10436–10444, https://doi.org/10.1002/2017GL074320, 2017.
Milillo, P., Rignot, E., Rizzoli, P., Scheuchl, B., Mouginot, J.,
Bueso-Bello, J., and Prats-Iraola, P.: Heterogeneous retreat and ice melt of
thwaites glacier, West Antarctica, Sci. Adv., 5, eaau3433,
https://doi.org/10.1126/sciadv.aau3433, 2019.
Mohajerani, Y., Velicogna, I., and Rignot, E.: Mass Loss of Totten and Moscow
University Glaciers, East Antarctica, Using Regionally Optimized GRACE
Mascons, Geophys. Res. Lett., 45, 7010–7018, https://doi.org/10.1029/2018GL078173,
2018.
Mohajerani, Y., Jeong, S., Scheuchl, B., Velicogna, I., Rignot, E., and
Milillo, P.: Automatic delineation of glacier grounding lines in
differential interferometric synthetic-aperture radar data using deep
learning, Sci. Rep., 11, 4992, https://doi.org/10.1038/s41598-021-84309-3, 2021.
Moholdt, G., Padman, L., and Fricker, H. A.: Basal mass budget of Ross and
Filchner-Ronne ice shelves, Antarctica, derived from Lagrangian analysis of
ICESat altimetry, J. Geophys. Res.-Earth, 119, 2361–2380,
https://doi.org/10.1002/2014JF003171, 2014.
Padman, L., Fricker, H. A., Coleman, R., Howard, S., and Erofeeva, L.: A new
tide model for the Antarctic ice shelves and seas, Ann. Glaciol., 34,
247–254, https://doi.org/10.3189/172756402781817752, 2002.
Paolo, F. S., Fricker, H. A., and Padman, L.: Volume loss from Antarctic ice
shelves is accelerating, Science, 348, 327–331,
https://doi.org/10.1126/science.aaa0940, 2015.
Pattyn, F. and Morlighem, M.: The uncertain future of the Antarctic Ice
Sheet, Science, 367, 1331–1335, https://doi.org/10.1126/science.aaz5487,
2020.
Rignot, E., Mouginot, J., and Scheuchl, B.: Antarctic grounding line mapping
from differential satellite radar interferometry, Geophys. Res. Lett., 38, L10504,
https://doi.org/10.1029/2011GL047109, 2011a.
Rignot, E., Mouginot, J., and Scheuchl, B.: Ice flow of the antarctic ice
sheet, Science, 333, 1427–1430, https://doi.org/10.1126/science.1208336, 2011b.
Rignot, E., Mouginot, J., Morlighem, M., Seroussi, H., and Scheuchl, B.:
Widespread, rapid grounding line retreat of Pine Island, Thwaites, Smith,
and Kohler glaciers, West Antarctica, from 1992 to 2011, Geophys. Res.
Lett., 41, 3502–3509, https://doi.org/10.1002/2014GL060140, 2014.
Rignot, E., Mouginot, J., and Scheuchl, B.: MEaSUREs Antarctic Grounding Line
from Differential Satellite Radar Interferometry, Version 2, NASA DAAC at the National Snow and Ice Data Center [data set], Boulder, CO, USA, https://doi.org/10.5067/IKBWW4RYHF1Q, 2016.
Rignot, E., Mouginot, J., and Scheuchl, B.: MEaSUREs InSAR-Based Antarctica
Ice Velocity Map, Version 2, NASA DAAC at the National Snow and Ice Data Center [data set], Boulder, CO, USA,
https://doi.org/10.5067/D7GK8F5J8M8R, 2017.
Rignot, E., Mouginot, J., Scheuchl, B., Van Den Broeke, M., Van Wessem, M.
J., and Morlighem, M.: Four decades of Antarctic ice sheet mass balance from
1979–2017, P. Natl. Acad. Sci. USA, 116, 1095–1103,
https://doi.org/10.1073/pnas.1812883116, 2019.
Rignot, E. J.: Fast Recession of a West Antarctic Glacier, Science,
281, 549–551, https://doi.org/10.1126/SCIENCE.281.5376.549, 1998.
Ritz, C., Edwards, T. L., Durand, G., Payne, A. J., Peyaud, V., and
Hindmarsh, R. C. A.: Potential sea-level rise from Antarctic ice-sheet
instability constrained by observations, Nature, 528, 115–118,
https://doi.org/10.1038/nature16147, 2015.
Scambos, T. A., Haran, T. M., Fahnestock, M. A., Painter, T. H., and
Bohlander, J.: MODIS-based Mosaic of Antarctica (MOA) data sets:
Continent-wide surface morphology and snow grain size, Remote Sens.
Environ., 111, 242–257, https://doi.org/10.1016/J.RSE.2006.12.020, 2007.
Scheick, J.: icepyx: Python tools for obtaining and working with ICESat-2
data, GitHub [code], https://github.com/icesat2py/icepyx, 2019.
Scheuchl, B., Mouginot, J., Rignot, E., Morlighem, M., and Khazendar, A.:
Grounding line retreat of Pope, Smith, and Kohler Glaciers, West Antarctica,
measured with Sentinel-1a radar interferometry data, Geophys. Res. Lett.,
43, 8572–8579, https://doi.org/10.1002/2016GL069287, 2016.
Schoof, C.: Ice sheet grounding line dynamics: Steady states, stability, and
hysteresis, J. Geophys. Res.-Earth, 112, F03S28, https://doi.org/10.1029/2006JF000664,
2007.
Selley, H. L., Hogg, A. E., Cornford, S., Dutrieux, P., Shepherd, A., Wuite,
J., Floricioiu, D., Kusk, A., Nagler, T., Gilbert, L., Slater, T., and Kim,
T.-W.: Widespread increase in dynamic imbalance in the Getz region of
Antarctica from 1994 to 2018, Nat. Commun., 12, 1133,
https://doi.org/10.1038/s41467-021-21321-1, 2021.
Shepherd, A., Ivins, E., Rignot, E., Smith, B., Van Den Broeke, M.,
Velicogna, I., Whitehouse, P., Briggs, K., Joughin, I., Krinner, G.,
Nowicki, S., Payne, T., Scambos, T., Schlegel, N., Geruo, A., Agosta, C.,
Ahlstrøm, A., Babonis, G., Barletta, V., Blazquez, A., Bonin, J., Csatho,
B., Cullather, R., Felikson, D., Fettweis, X., Forsberg, R., Gallee, H.,
Gardner, A., Gilbert, L., Groh, A., Gunter, B., Hanna, E., Harig, C., Helm,
V., Horvath, A., Horwath, M., Khan, S., Kjeldsen, K. K., Konrad, H., Langen,
P., Lecavalier, B., Loomis, B., Luthcke, S., McMillan, M., Melini, D.,
Mernild, S., Mohajerani, Y., Moore, P., Mouginot, J., Moyano, G., Muir, A.,
Nagler, T., Nield, G., Nilsson, J., Noel, B., Otosaka, I., Pattle, M. E.,
Peltier, W. R., Pie, N., Rietbroek, R., Rott, H., Sandberg-Sørensen, L.,
Sasgen, I., Save, H., Scheuchl, B., Schrama, E., Schröder, L., Seo, K.
W., Simonsen, S., Slater, T., Spada, G., Sutterley, T., Talpe, M., Tarasov,
L., Van De Berg, W. J., Van Der Wal, W., Van Wessem, M., Vishwakarma, B. D.,
Wiese, D., and Wouters, B.: Mass balance of the Antarctic Ice Sheet from 1992
to 2017, Nature, 558, 219–222, https://doi.org/10.1038/s41586-018-0179-y, 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., Fricker, H. A., Gardner, A., Siegfried, M. R., Adusumilli, S.,
Csathó, B. M., Holschuh, N., Nilsson, J., Paolo, F. S., and and the
ICESat-2 Science Team: ATLAS/ICESat-2 L3A Land Ice Height, Version 3,
[ATL06], NASA DAAC at the National Snow and Ice Data Center [data set], Boulder, CO, USA, https://doi.org/10.5067/ATLAS/ATL06.003, 2020a.
Smith, B., Fricker, H. A., Gardner, A. S., Medley, B., Nilsson, J., Paolo
Nicholas Holschuh, F. S., Adusumilli, S., Brunt, K., Csatho, B., Harbeck,
K., Markus, T., Neumann, T., Siegfried, M. R., and Jay Zwally, H.: Pervasive
ice sheet mass loss reflects competing ocean and atmosphere processes,
Science, 368, 1239–1242, https://doi.org/10.1126/science.aaz5845, 2020b.
Short summary
Accurate knowledge of the Antarctic grounding zone is important for mass balance calculation, ice sheet stability assessment, and ice sheet model projections. Here we present the first ICESat-2-derived high-resolution grounding zone product of the Antarctic Ice Sheet, including three important boundaries. This new data product will provide more comprehensive insights into ice sheet instability, which is valuable for both the cryosphere and sea level science communities.
Accurate knowledge of the Antarctic grounding zone is important for mass balance calculation,...
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