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Simulated ice thickness, supraglacial debris thickness and velocity for Khumbu Glacier, Nepal, using the iSOSIA ice-flow model - VERSION 1.0
GB/NERC/BAS/PDC/01435

Summary

Abstract:
Simulated ice thickness (ice, metres), supraglacial debris thickness (dh, metres) and velocity (velocity, metres per year) for Khumbu Glacier, Nepal, produced using the iSOSIA ice-flow model presented in Rowan et al. (in revision, Journal of Geophysical Research-Earth Surface).

The files contained in this collection present the outputs from three experiments: Experiment 1, six files, three simulations showing the effect of change in mean annual air temperature to the present day from 1.5 degC to 3.5 degC relative to the Little Ice Age. Experiment 2, four files, two simulations showing the effect of change in the h0 constant describing the reduction in sub-debris melt with debris thickness. Experiment 3, four files, two simulations, showing the effect of change in mean annual air temperature to the present day from 2.5 degC to 3.5 degC relative to the Little Ice Age where h0 = 1.1 m. Results from the optimal simulation, nine files, one simulation, showing results for simulated ice thickness, supraglacial debris thickness and glacier velocity for the Little Ice Age, 1984 CE and 2015 CE.

Funding was provided by the NERC grant NE/P00265X/1.

***** PLEASE BE ADVISED TO USE VERSION 2.0 DATA *****

The VERSION 2.0 data set (see 'Related Data Set Metadata' link below) differs from that presented here in Version 1.0 in that the h0 values were revised based on a maximum debris thickness of 2.0 m (compared to 4.0 m in Version 1.0) and the simulations of the active glacier extent were not part of Version 1.0.

Keywords:
Everest region, Himalaya, glacier dynamics, glacier model, mass balance, mountain glacier

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Citation

Rowan, A. (2020). Simulated ice thickness, supraglacial debris thickness and velocity for Khumbu Glacier, Nepal, using the iSOSIA ice-flow model - VERSION 1.0 (Version 1.0) [Data set]. UK Polar Data Centre, Natural Environment Research Council, UK Research & Innovation. https://doi.org/10.5285/d246642f-65fd-426f-8819-2d176e6db90f

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