Greenland Mass Trends From Airborne and Satellite Altimetry During 2011-2020.

• Published in: Journal of Geophysical Research: Earth Surface
• Main Authors: Khan, Shfaqat A, Bamber, Jonathan L, Rignot, Eric, Helm, Veit, Aschwanden, Andy, Holland, David M, van den Broeke, Michiel, King, Michalea, Noël, Brice, Truffer, Martin, Humbert, Angelika, Colgan, William, Vijay, Saurabh, Kuipers Munneke, Peter
• Format: Article in Journal/Newspaper
• Language: English
• Published: John Wiley and Sons Inc 2022
• Subjects: Greenland Ice Sheet; ice dynamics; mass loss; satellite altimetry; surface mass balance; vertical land motion; Earth-Surface Processes; Geophysics; Physical; chemical; mathematical & earth Sciences; Earth sciences & physical geography; Physique; chimie; mathématiques & sciences de la terre; Sciences de la terre & géographie physique; Greenland; Jakobshavn Isbræ; Ice Sheet; Jakobshavn; Jakobshavn isbræ
• Online Access: https://orbi.uliege.be/handle/2268/302199; https://orbi.uliege.be/bitstream/2268/302199/1/Khan_2022_JGR.pdf; https://doi.org/10.1029/2021JF006505

peer reviewed We use satellite and airborne altimetry to estimate annual mass changes of the Greenland Ice Sheet. We estimate ice loss corresponding to a sea-level rise of 6.9 ± 0.4 mm from April 2011 to April 2020, with a highest annual ice loss rate of 1.4 mm/yr sea-level equivalent from April 2019 to April 2020. On a regional scale, our annual mass loss timeseries reveals 10-15 m/yr dynamic thickening at the terminus of Jakobshavn Isbræ from April 2016 to April 2018, followed by a return to dynamic thinning. We observe contrasting patterns of mass loss acceleration in different basins across the ice sheet and suggest that these spatiotemporal trends could be useful for calibrating and validating prognostic ice sheet models. In addition to resolving the spatial and temporal fingerprint of Greenland's recent ice loss, these mass loss grids are key for partitioning contemporary elastic vertical land motion from longer-term glacial isostatic adjustment (GIA) trends at GPS stations around the ice sheet. Our ice-loss product results in a significantly different GIA interpretation from a previous ice-loss product.