Articles | Volume 14, issue 11
https://doi.org/10.5194/tc-14-3629-2020
© 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-14-3629-2020
© 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 Nov 2020
Research article |
| 02 Nov 2020
| 02 Nov 2020
Mapping the grounding zone of Larsen C Ice Shelf, Antarctica, 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
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Cited articles
Arendt, A., Smith, B., Shean, D., Steiker, A., Petty, A., Perez, F., Henderson, S., Paolo, F., Nilsson, J., Becker, M., Adusumilli, S., Shapero,
D., Wallin, B., Schweiger, A., Dickinson, S., Hoschuh, N., Siegfried, M., and Neumann, T.: ICESAT-2HackWeek/ICESat2_hackweek_tutorials (Version 1.0), Zenodo, https://doi.org/10.5281/zenodo.3360994, 2019.
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.
Borstad, C., McGrath, D., and Pope, A.: Fracture propagation and stability
of ice shelves governed by ice shelf heterogeneity, Geophys. Res. Lett., 44, 4186–4194, https://doi.org/10.1002/2017GL072648, 2017.
Brenner, A. C., DiMarzio, J. R., and Zwally, H. J.: Precision and accuracy
of satellite radar and laser altimeter data over the continental ice sheets,
IEEE T. Geosci. Remote, 45, 321–331, https://doi.org/10.1109/TGRS.2006.887172, 2007.
Brunt, K. M., Fricker, H. A., Padman, L., and O'Neel, S.: ICESat-derived
Grounding Zone for Antarctic Ice Shelves, Boulder, Colorado, USA,
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.
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.
Chuter, S. and Bamber, J.: Antarctic ice shelf thickness from CryoSat-2 radar altimetry, Geophys. Res. Lett., 42, 10721–10729, https://doi.org/10.1002/2015GL066515, 2015.
Corr, H. F. J., Doake, C. S. M., Jenkins, A., and Vaughan, D. G.: Investigations of an “ice plain” in the mouth of Pine Island Glacier,
Antarctica, J. Glaciol., 47, 51-57, https://doi.org/10.3189/172756501781832395, 2001.
Dawson, G. and Bamber, J.: 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.
Depoorter, M. A., Bamber, J., Griggs, J., Lenaerts, J., Ligtenberg, S. R.,
Van den Broeke, M., and Moholdt, G.: Calving fluxes and basal melt rates of
Antarctic ice shelves, Nature, 502, 89–92, https://doi.org/10.1038/nature12567, 2013.
ESA: Antarctic Ice Sheet Climate Change Initiative, Grounding Line Locations
for the Fleming and Larsen Glaciers, Antarctica, 1995–2016, v1.0, Centre for
Environmental Data Analysis, 2017.
Favier, L., Durand, G., Cornford, S. L., Gudmundsson, G. H., Gagliardini, O., Gillet-Chaulet, F., Zwinger, T., Payne, A., 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.
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.
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, 2019.
Hogg, A. E., Shepherd, A., Gilbert, L., Muir, A., and Drinkwater, M. R.:
Mapping ice sheet grounding lines with CryoSat-2, Adv. Space Res., 62, 1191–1202, https://doi.org/10.1016/j.asr.2017.03.008, 2018.
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.
Jansen, D., Kulessa, B., Sammonds, P., Luckman, A., King, E., and Glasser, N. F.: Present stability of the Larsen C ice shelf, Antarctic Peninsula, J. Glaciol., 56, 593–600, https://doi.org/10.3189/002214310793146223, 2010.
Joughin, I., Smith, B. E., and Holland, D. M.: Sensitivity of 21st century
sea level to ocean-induced thinning of Pine Island Glacier, Antarctica,
Geophys. Res. Lett., 37, L20502, https://doi.org/10.1029/2010GL044819, 2010.
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.
Markus, T., Neumann, T., Martino, A., Abdalati, W., Brunt, K., Csatho, B.,
Farrell, S., Fricker, H., Gardner, A., and Harding, D.: 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.
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.
Neumann, T. A., Martino, A. J., Markus, T., Bae, S., Bock, M. R., Brenner, A. C., Brunt, K. M., Cavanaugh, J., Fernandes, S. T., and Hancock, D. W.: The Ice, Cloud, and Land Elevation Satellite–2 mission: A global geolocated photon product derived from the Advanced Topographic Laser Altimeter System,
Remote Sens. Environ., 233, 111325, https://doi.org/10.1016/j.rse.2019.111325, 2019.
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.
Rignot, E., Mouginot, J., and Scheuchl, B.: Antarctic grounding line mapping
from differential satellite radar interferometry, Geophys. Res. Lett., 38, L10504, https://doi.org/10.1029/2011GL047109, 2011.
Rignot, E., Mouginot, J., 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 InSAR-Based Antarctica
Ice Velocity Map, NASA DAAC at the National Snow and Ice Data Center, Boulder, CO, USA, 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.
Scambos, T., Haran, T., Fahnestock, M., Painter, T., and Bohlander, J.:
MODIS-based Mosaic of Antarctica (MOA) data sets: Continent-wide surface
morphology and snow grain size, Remote Sens. Environ., 111, 242–257, https://doi.org/10.1016/j.rse.2006.12.020, 2007.
Schoof, C.: Ice sheet grounding line dynamics: Steady states, stability, and
hysteresis, J. Geophys. Res.-Earth, 112, F03S28, https://doi.org/10.1029/2006JF000664, 2007.
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., A, G., 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., and Neumann, T.: 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. S., Medley, B., Nilsson, J., Paolo, F. S., Holschuh, N., Adusumilli, S., Brunt, K., and Csatho, B.: Pervasive ice sheet mass loss reflects competing ocean and atmosphere processes, Science, 368, 1239–1242, https://doi.org/10.1126/science.aaz5845, 2020.
Short summary
Accurate knowledge of the Antarctic grounding zone is critical for the understanding of ice sheet instability and the evaluation of mass balance. We present a new, fully automated method to map the grounding zone from ICESat-2 laser altimetry. Our results of Larsen C Ice Shelf demonstrate the efficiency, density, and high spatial accuracy with which ICESat-2 can image complex grounding zones.
Accurate knowledge of the Antarctic grounding zone is critical for the understanding of ice...
