Articles | Volume 14, issue 9
https://doi.org/10.5194/tc-14-3235-2020
https://doi.org/10.5194/tc-14-3235-2020
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

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Latest update: 27 Mar 2024
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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.