Articles | Volume 16, issue 1
https://doi.org/10.5194/tc-16-197-2022
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, Tandong Yao, Guoqing Zhang, Fei Li, Guoxiong Zheng, Yushan Zhou, and Fenglin Xu

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.