Articles | Volume 16, issue 1
The Cryosphere, 16, 197–218, 2022
https://doi.org/10.5194/tc-16-197-2022
The Cryosphere, 16, 197–218, 2022
https://doi.org/10.5194/tc-16-197-2022

Research article 21 Jan 2022

Research article | 21 Jan 2022

Towards ice-thickness inversion: an evaluation of global digital elevation models (DEMs) in the glacierized Tibetan Plateau

Wenfeng Chen et al.

Data sets

Database for Towards ice thickness inversion: an evaluation of global DEMs in the glacierized Tibetan Plateau (Version version~1) W. Chen, T. Yao, G. Zhang, F. Li, G. Zheng, Y. Zhou, and F. Xu https://zenodo.org/record/5267309

ITS_LIVE Regional Glacier and Ice Sheet Surface Velocities A. S. Gardner, M. A. Fahnestock, and T. A. Scambos https://doi.org/10.5067/6II6VW8LLWJ7

NASA Shuttle Radar Topography Mission Global 1 arc second NASA JPL https://doi.org/10.5067/MEaSUREs/SRTM/SRTMGL1.003

NASA SRTM-only Height and Height Precision Global 1 arc second V001 NASA JPL https://doi.org/10.5067/MEaSUREs/NASADEM/NASADEM_SHHP.001

Randolph Glacier Inventory - A Dataset of Global Glacier Outlines: Version 6.0 Technical Report, Global Land Ice Measurements from Space, Colorado, USA RGI Consortium https://doi.org/10.7265/N5-RGI-60

Global Land Ice Velocity Extraction from Landsat 8 (GoLIVE), Version 1 T. Scambos, M. Fahnestock, T. Moon, A. Gardner, and M. Klinger https://doi.org/10.7265/N5ZP442B

ATLAS/ICESat-2 L3A Land Ice Height, Version 5 B. Smith, S. Adusumilli, B. M. Csathó, D. Felikson, H. A. Fricker, A. Gardner, N. Holschuh, J. Lee, J. Nilsson, F. S. Paolo, M. R. Siegfried, T. Sutterley, and the ICESat-2 Science Team https://doi.org/10.5067/ATLAS/ATL06.005

dshean/hma_mb_paper: Release for accepted article (v1.0) D. Shean and S. Bhushan https://doi.org/10.5281/zenodo.3600624

TanDEM-X - Digital Elevation Model (DEM) - Global, 90 m DLR - German Aerospace Center https://doi.org/10.15489/ju28hc7pui09

Model code and software

cnugis/ProcessICESat-2 GitHub https://github.com/cnugis/ProcessICESat-2

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Short summary
A digital elevation model (DEM) is a prerequisite for estimating regional glacier thickness. Our study first compared six widely used global DEMs over the glacierized Tibetan Plateau by using ICESat-2 (Ice, Cloud and land Elevation Satellite) laser altimetry data. Our results show that NASADEM had the best accuracy. We conclude that NASADEM would be the best choice for ice-thickness estimation over the Tibetan Plateau through an intercomparison of four ice-thickness inversion models.