Data Access
Presentation
The product “ice thickness distribution” is derived from the study of Millan et al. (2022). This is the first comprehensive mapping of ice thicknesses based on glacial flow velocities (cf. product “glacier surface flow velocity”), for more than 200,000 glaciers on Earth. This dataset provides a better understanding of the distribution of ice masses on Earth and can be used to initialize models of glacier evolution.
The thicknesses of the glaciers are distributed at a horizontal resolution of 50 m and are representative of the decade 2010-2020.
Data and Methods
The glaciers mapped are based on the Randolph Glacier Inventory 6.0.
The ice thickness distribution is estimated from the surface flow velocity and the surface slope using the Shallow Ice Approximation (SIA) method. Slopes were calculated using three different digital elevation model sources, with ASTER GDEM v3 (Abrams et al., 2020), TanDEM-X (DLR, 2018) and the ArcticDEM from Worldview (Porter et al., 2018). The inversions are calibrated using in situ ice thickness measurements from the Glacier Thickness Database, when available.
More scientific information is available in Millan et al., 2019, doi: 10.3390/rs11212498 and Millan et al., 2022, Nature Geoscience doi.org/10.1038/s41561-021-00885-z and its supplement.
The products can be downloaded by tiles at maps.theia-land.fr
Bulk downloading is available at the Sedoo site of Observatoire Midi-Pyrénées.
Contacts
Romain Millan
Université Grenoble Alpes, CNRS, IRD | IGE
@R. Millan
Jérémie Mouginot
Université Grenoble Alpes, CNRS | IGE
@J.Mouginot
Mathieu Morlighem
Dartmouth College, Hanover, USA
@M.Morlighem
References
Millan, R., Mouginot, J., Rabatel, A., & Morlighem, M. Ice velocity and thickness of the world’s glaciers. Nature Geoscience, (2022) doi: 10.1038/s41561-021-00885-z
Abrams, M., Crippen, R. & Fujisada, H. ASTER Global Digital Elevation Model 590 (GDEM) and ASTER Global Water Body Dataset (ASTWBD). 12 (2020).
DLR, German Aerospace Center. TanDEM-X – Digital Elevation Model (DEM) – Global, 90m. 592 (2018) doi:10.15489/JU28HC7PUI09.
Porter, C. et al. ArcticDEM. (2018) doi:10.7910/DVN/OHHUKH.