The Cryosphere
The Cryosphere
TC
Articles | Volume 14, issue 9
Articles | Volume 14, issue 9
https://doi.org/10.5194/tc-14-3235-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/tc-14-3235-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 14, issue 9
Research article
 | 
29 Sep 2020
Research article |  | 29 Sep 2020

Possible biases in scaling-based estimates of glacier change: a case study in the Himalaya

Argha Banerjee, Disha Patil, and Ajinkya Jadhav

Viewed

Total article views: 2,629 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,740 800 89 2,629 153 102 97
  • HTML: 1,740
  • PDF: 800
  • XML: 89
  • Total: 2,629
  • Supplement: 153
  • BibTeX: 102
  • EndNote: 97
Views and downloads (calculated since 09 Jan 2020)
Cumulative views and downloads (calculated since 09 Jan 2020)

Viewed (geographical distribution)

Total article views: 2,629 (including HTML, PDF, and XML) Thereof 2,364 with geography defined and 265 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 23 Apr 2025
Download
Short summary
Simple models of glacier dynamics based on volume–area scaling underestimate climate sensitivity and response time of glaciers. Consequently, they may predict a faster response and a smaller long-term glacier loss. These biases in scaling models are established theoretically and are analysed in detail by simulating the step response of a set of 703 Himalayan glaciers separately by three different models: a scaling model, a 2-D shallow-ice approximation model, and a linear-response model.
Read more
Share