Articles | Volume 19, issue 7
https://doi.org/10.5194/tc-19-2635-2025
© Author(s) 2025. 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-19-2635-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
22 Jul 2025
Research article |
| 22 Jul 2025
| 22 Jul 2025
Volumetric evolution of supraglacial lakes in southwestern Greenland using ICESat-2 and Sentinel-2
Tiantian Feng
CORRESPONDING AUTHOR
College of Surveying and Geo-Informatics, Tongji University, Shanghai 200092, China
The Center for Spatial Information Science and Sustainable Development Applications, Tongji University, Shanghai 200092, China
Xinyu Ma
College of Surveying and Geo-Informatics, Tongji University, Shanghai 200092, China
The Center for Spatial Information Science and Sustainable Development Applications, Tongji University, Shanghai 200092, China
Xiaomin Liu
College of Surveying and Geo-Informatics, Tongji University, Shanghai 200092, China
The Center for Spatial Information Science and Sustainable Development Applications, Tongji University, Shanghai 200092, China
Zhejiang Agriculture and Forestry University, 666 Wusu Street, Hangzhou, 311300, China
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Cited articles
Arthur, J. F., Stokes, C., Jamieson, S. S., Carr, J. R., and Leeson, A. A.: Recent understanding of Antarctic supraglacial lakes using satellite remote sensing, Prog. Phys. Geog., 44, 837–869, https://doi.org/10.1177/0309133320916114, 2020.
Banwell, A. F., Arnold, N. S., Willis, I. C., Tedesco, M., and Ahlstrøm, A. P.: Modeling supraglacial water routing and lake filling on the Greenland Ice Sheet, J. Geophys. Res.-Earth, 117, F04012, https://doi.org/10.1029/2012JF002393, 2012.
Box, J. E. and Ski, K.: Remote sounding of Greenland supraglacial melt lakes: implications for subglacial hydraulics, J. Glaciol., 53, 257–265, https://doi.org/10.3189/172756507782202883, 2007.
Box, J. E., Hubbard, A., Bahr, D. B., Colgan, W. T., Fettweis, X., Mankoff, K. D., Wehrlé, A., Noël, B., van den Broeke, M. R., Wouters, B., Bjørk, A. A., and Fausto, R. S.: Greenland ice sheet climate disequilibrium and committed sea-level rise, Nat. Clim. Change, 12, 808–813, https://doi.org/10.1038/s41558-022-01441-2, 2022.
Breiman, L.: Random Forests, Machine Learning, 45, 5–32, https://doi.org/10.1023/A:1010933404324, 2001.
Chouksey, A., Thakur, P. K., Sahni, G., Swain, A. K., Aggarwal, S. P., and Kumar, A. S.: Mapping and identification of ice-sheet and glacier features using optical and SAR data in parts of central Dronning Maud Land (cDML), East Antarctica, Polar Sci., 30, 100740, https://doi.org/10.1016/j.polar.2021.100740, 2021.
Datta, R. T. and Wouters, B.: Supraglacial lake bathymetry automatically derived from ICESat-2 constraining lake depth estimates from multi-source satellite imagery, The Cryosphere, 15, 5115–5132, https://doi.org/10.5194/tc-15-5115-2021, 2021.
European Space Agency (ESA): Sentinel-2 MSI Level-1C Data, ESA [data set], https://dataspace.copernicus.eu/explore-data/data-collections/sentinel-data/sentinel-2 (last access: 11 July 2025), 2022.
Fair, Z., Flanner, M., Brunt, K. M., Fricker, H. A., and Gardner, A.: Using ICESat-2 and Operation IceBridge altimetry for supraglacial lake depth retrievals, The Cryosphere, 14, 4253–4263, https://doi.org/10.5194/tc-14-4253-2020, 2020.
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.
Gledhill, L. A. and Williamson, A. G.: Inland advance of supraglacial lakes in north-west Greenland under recent climatic warming, Ann. Glaciol., 59, 66–82, https://doi.org/10.1017/aog.2017.31, 2018.
Hu, J., Huang, H., Chi, Z., Cheng, X., Wei, Z., Chen, P., Xu, X., Qi, S., Xu, Y., and Zheng, Y.: Distribution and evolution of supraglacial lakes in greenland during the 20162018 melt seasons, Remote Sensing, 14, 55, https://doi.org/10.3390/rs14010055, 2022.
Jasinski, M., Stoll, J., Hancock, D., Robbins, J., Nattala, J., Pavelsky, J., Morrison, J., Jones, B., Ondrusek, M., Parrish, C., and ICESat-2 Science Team: Algorithm Theoretical Basis Document (ATBD) for Along Track Inland Surface Water Data, ATL13, Release 5, MD, 124 pp., https://doi.org/10.5067/RI5QTGTSVHRZ, 2021.
Jiang, D., Li, X., Zhang, K., Marinsek, S., Hong, W., and Wu, Y.: Automatic Supraglacial Lake Extraction in Greenland Using Sentinel-1 SAR Images and Attention-Based U-Net, Remote Sensing, 14, 4998, https://doi.org/10.3390/rs14194998, 2022.
Lai, W., Lee, Z., Wang, J., Wang, Y., Garcia, R., and Zhang, H.: A Portable Algorithm to Retrieve Bottom Depth of Optically Shallow Waters from Top-Of-Atmosphere Measurements, J. Remote Sens., 2022, 9831947, https://doi.org/10.34133/2022/9831947, 2022.
Legleiter, C. J., Roberts, D. A., and Lawrence, R. L.: Spectrally based remote sensing of river bathymetry, Earth Surf. Proc. Land., 34, 1039–1059, https://doi.org/10.1002/esp.1787, 2009.
Legleiter, C. J., Tedesco, M., Smith, L. C., Behar, A. E., and Overstreet, B. T.: Mapping the bathymetry of supraglacial lakes and streams on the Greenland ice sheet using field measurements and high-resolution satellite images, The Cryosphere, 8, 215–228, https://doi.org/10.5194/tc-8-215-2014, 2014.
Lutz, K., Bahrami, Z., and Braun, M.: Supraglacial Lake Evolution over Northeast Greenland Using Deep Learning Methods, Remote Sensing, 15, 4360, https://doi.org/10.3390/rs15174360, 2023.
Lutz, K., Bever, L., Sommer, C., Seehaus, T., Humbert, A., Scheinert, M., and Braun, M.: Assessing supraglacial lake depth using ICESat-2, Sentinel-2, TanDEM-X, and in situ sonar measurements over Northeast and Southwest Greenland, The Cryosphere, 18, 5431–5449, https://doi.org/10.5194/tc-18-5431-2024, 2024.
Lv, J., Li, S., Wang, X., Qi, C., and Zhang, M.: Long-term Satellite-derived Bathymetry of Arctic Supraglacial Lake from ICESat-2 and Sentinel-2, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-1-2024, 469–477, https://doi.org/10.5194/isprs-archives-XLVIII-1-2024-469-2024, 2024.
Ma, Y., Xu, N., Liu, Z., Yang, B., Yang, F., Wang, X. H., and Li, S.: Satellite-derived bathymetry using the ICESat-2 lidar and Sentinel-2 imagery datasets, Remote Sens. Environ., 250, 112047, https://doi.org/10.1016/j.rse.2020.112047, 2020.
Meierbachtol, T., Harper, J., and Humphrey, N.: Basal Drainage System Response to Increasing Surface Melt on the Greenland Ice Sheet, Science, 341, 777–779, https://doi.org/10.1126/science.1235905, 2013.
Melling, L., Leeson, A., McMillan, M., Maddalena, J., Bowling, J., Glen, E., Sandberg Sørensen, L., Winstrup, M., and Lørup Arildsen, R.: Evaluation of satellite methods for estimating supraglacial lake depth in southwest Greenland, The Cryosphere, 18, 543–558, https://doi.org/10.5194/tc-18-543-2024, 2024.
Mouginot, J., Rignot, E., Bjork, A. A., van den Broeke, M., Millan, R., Morlighem, M., Noel, B., Scheuchl, B., and Wood, M.: Forty-six years of Greenland Ice Sheet mass balance from 1972 to 2018, P. Natl. Acad. Sci. USA, 116, 9239–9244, https://doi.org/10.1073/pnas.1904242116, 2019.
Neumann, T. A., Brenner, A., Hancock, D., Robbins, J., Luthcke, S. B., Harbeck, K., Lee, J., Gibbons, A., Saba, J., and Brunt, K.: ATLAS/ICESat-2 L2A Global Geolocated Photon Data (Version 5), NSIDC [data set], https://doi.org/10.5067/ATLAS/ATL03.005, 2021.
Parrish, C. E., Magruder, L. A., Neuenschwander, A. L., Forfinski-Sarkozi, N., Alonzo, M., and Jasinski, M.: Validation of ICESat-2 ATLAS Bathymetry and Analysis of ATLAS's Bathymetric Mapping Performance, Remote Sensing, 11, 1634, https://doi.org/10.3390/rs11141634, 2019.
Philpot, W.: Radiative transfer in stratified waters: A single-scattering approximation for irradiance, Appl. Optics, 26, 4123–32, https://doi.org/10.1364/AO.26.004123, 1987.
Pitcher, L. H. and Smith, L. C.: Supraglacial Streams and Rivers, Annu. Rev. Earth Pl. Sc., 47, 421–452, https://doi.org/10.1146/annurev-earth-053018-060212, 2019.
Poinar, K. and Andrews, L. C.: Challenges in predicting Greenland supraglacial lake drainages at the regional scale, The Cryosphere, 15, 1455–1483, https://doi.org/10.5194/tc-15-1455-2021, 2021.
Pope, A., Scambos, T. A., Moussavi, M., Tedesco, M., Willis, M., Shean, D., and Grigsby, S.: Estimating supraglacial lake depth in West Greenland using Landsat 8 and comparison with other multispectral methods, The Cryosphere, 10, 15–27, https://doi.org/10.5194/tc-10-15-2016, 2016.
Porter, C., Howat, I., Noh, M.-J., Husby, E., Khuvis, S., Danish, E., Tomko, K., Gardiner, J., Negrete, A., Yadav, B., Klassen, J., Kelleher, C., Cloutier, M., Bakker, J., Enos, J., Arnold, G., Bauer, G., and Morin, P.: ArcticDEM – Mosaics, Version 4.1, Harvard Dataverse [data set], https://doi.org/10.7910/DVN/3VDC4W, 2023.
Slater, T., Hogg, A. E., and Mottram, R.: Ice-sheet losses track high-end sea-level rise projections, Nat. Clim. Change, 10, 879–881, https://doi.org/10.1038/s41558-020-0893-y, 2020.
Smith, B., Adusumilli, S., Csathó, B. M., Felikson, D., Fricker, H. A., Gardner, A. S., Holschuh, N., Lee, J., Nilsson, J., Paolo, F., Siegfried, M. R., Sutterley, T. and the ICESat-2 Science Team: ATLAS/ICESat-2 L3A Land Ice Height, ATL06, Version 5, NASA National Snow and Ice Data Center Distributed Active Archive Center [data set], https://doi.org/10.5067/ATLAS/ATL06.005, 2021.
Smith, L. C., Chu, V. W., Yang, K., Gleason, C. J., Pitcher, L. H., Rennermalm, A. K., Legleiter, C. J., Behar, A. E., Overstreet, B. T., Moustafa, S. E., Tedesco, M., Forster, R. R., LeWinter, A. L., Finnegan, D. C., Sheng, Y., and Balog, J.: Efficient meltwater drainage through supraglacial streams and rivers on the southwest Greenland ice sheet, P. Natl. Acad. Sci. USA, 112, 1001–1006, https://doi.org/10.1073/pnas.1413024112, 2015.
Thomas, N., Pertiwi, A. P., Traganos, D., Lagomasino, D., Poursanidis, D., Moreno, S., and Fatoyinbo, L.: Space-Borne Cloud-Native Satellite-Derived Bathymetry (SDB) Models Using ICESat-2 And Sentinel-2, Geophys. Res. Lett., 48, e2020GL092170, https://doi.org/10.1029/2020GL092170, 2021.
van den Broeke, M. R., Enderlin, E. M., Howat, I. M., Kuipers Munneke, P., Noël, B. P. Y., van de Berg, W. J., van Meijgaard, E., and Wouters, B.: On the recent contribution of the Greenland ice sheet to sea level change, The Cryosphere, 10, 1933–1946, https://doi.org/10.5194/tc-10-1933-2016, 2016.
Williamson, A. G., Banwell, A. F., Willis, I. C., and Arnold, N. S.: Dual-satellite (Sentinel-2 and Landsat 8) remote sensing of supraglacial lakes in Greenland, The Cryosphere, 12, 3045–3065, https://doi.org/10.5194/tc-12-3045-2018, 2018.
Xiao, W., Hui, F., Cheng, X., and Liang, Q.: An automated algorithm to retrieve the location and depth of supraglacial lakes from ICESat-2 ATL03 data, Remote Sens. Environ., 298, 113730, https://doi.org/10.1016/j.rse.2023.113730, 2023.
Yang, K. and Smith, L. C.: Supraglacial Streams on the Greenland Ice Sheet Delineated From Combined Spectral–Shape Information in High-Resolution Satellite Imagery, IEEE Geosci. Remote S., 10, 801–805, https://doi.org/10.1109/LGRS.2012.2224316, 2013.
Yuan, J., Chi, Z., Cheng, X., Zhang, T., Li, T., and Chen, Z.: Automatic Extraction of Supraglacial Lakes in Southwest Greenland during the 2014–2018 Melt Seasons Based on Convolutional Neural Network, Water, 12, 891, https://doi.org/10.3390/w12030891, 2020.
Zhang, W., Yang, K., Smith, L. C., Wang, Y., van As, D., Noël, B., Lu, Y., and Liu, J.: Pan-Greenland mapping of supraglacial rivers, lakes, and water-filled crevasses in a cool summer (2018) and a warm summer (2019), Remote Sens. Environ., 297, 113781, https://doi.org/10.1016/j.rse.2023.113781, 2023.
Zwally, H. J., Giovinetto, M. B., Beckley, M. A., and Saba, J. L.: Antarctic and Greenland Drainage Systems, GSFC Cryospheric Sciences Laboratory [data set], https://earth.gsfc.nasa.gov/cryo/data/polar-altimetry/antarctic-and-greenland-drainage-systems, 2012.
Short summary
During the melting season, substantial quantities of surface meltwater converge in topographically depressed regions, forming supraglacial lakes (SGLs). We extract SGL area and profile depth using remote sensing data and then invert the depth of entire SGLs based on the machine learning method. By applying the above-mentioned methods, we capture the volumetric evolution of SGLs throughout the entire melt season of 2022 in southwestern Greenland.
During the melting season, substantial quantities of surface meltwater converge in...
