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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

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Cited articles

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Bach, E., Radić, V., and Schoof, C.: How sensitive are mountain glaciers to climate change? Insights from a block model, J. Glaciol., 64, 247–258, https://doi.org/10.1017/jog.2018.15, 2018. a, b, c
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Bahr, D. B., Meier, M. F., and Peckham, S. D.: The physical basis of glacier volume-area scaling, J. Geophys. Res.-Sol. Ea., 102, 20355–20362, https://doi.org/10.1029/97JB01696, 1997. a
Bahr, D. B., Pfeffer, W. T., and Kaser, G.: A review of volume-area scaling of glaciers, Rev. Geophys., 53, 95–140, https://doi.org/10.1002/2014RG000470, 2015. a, b, c, d, e, f, g, h, i, j, k, l
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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.
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