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.

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Cited articles

Allen, S. K., Zhang, G., Wang, W., Yao, T., and Bolch, T.: Potentially dangerous glacial lakes across the Tibetan Plateau revealed using a large-scale automated assessment approach, Sci. Bull., 64, 435–445, https://doi.org/10.1016/j.scib.2019.03.011, 2019. 
Altunel, A. O.: Evaluation of TanDEM-X 90 m Digital Elevation Model, Int. J. Remote Sens., 40, 2841–2854, https://doi.org/10.1080/01431161.2019.1585593, 2019. 
Azam, M. F., Wagnon, P., Ramanathan, A., Vincent, C., Sharma, P., Arnaud, Y., Linda, A., Pottakkal, J. G., Chevallier, P., Singh, V. B., and Berthier, E: From balance to imbalance: a shift in the dynamic behaviour of Chhota Shigri glacier, western Himalaya, India, J. Glaciol., 58, 315–324, https://doi.org/10.3189/2012JoG11J123, 2012. 
Bachmann, M., Kraus, T., Bojarski, A., Schandri, M., Boer, J., Busche, T., Bueso Bello, J. L., Grigorov, C., Steinbrecher, U., Buckreuss, S., Krieger, G., and Zink, M.: The TanDEM-X Mission Phases – Ten Years of Bistatic Acquisition and Formation Planning, IEEE J.-Stars, 14, 3504–3518, https://doi.org/10.1109/JSTARS.2021.3065446, 2021. 
Bhambri, R., Bolch, T., and Chaujar, R. K.: Mapping of debris-covered glaciers in the Garhwal Himalayas using ASTER DEMs and thermal data, Int. J. Remote Sens., 32, 8095–8119, https://doi.org/10.1080/01431161.2010.532821, 2011. 
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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.