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The empirical basis for modelling glacial erosion rates

Author

Listed:
  • Simon J. Cook

    (University of Dundee, Nethergate)

  • Darrel A. Swift

    (University of Sheffield)

  • Martin P. Kirkbride

    (University of Dundee, Nethergate)

  • Peter G. Knight

    (Keele University)

  • Richard I. Waller

    (Keele University)

Abstract

Glaciers are highly effective agents of erosion that have profoundly shaped Earth’s surface, but there is uncertainty about how glacial erosion should be parameterised in landscape evolution models. Glacial erosion rate is usually modelled as a function of glacier sliding velocity, but the empirical basis for this relationship is weak. In turn, climate is assumed to control sliding velocity and hence erosion, but this too lacks empirical scrutiny. Here, we present statistically robust relationships between erosion rates, sliding velocities, and climate from a global compilation of 38 glaciers. We show that sliding is positively and significantly correlated with erosion, and derive a relationship for use in erosion models. Our dataset further demonstrates that the most rapid erosion is achieved at temperate glaciers with high mean annual precipitation, which serve to promote rapid sliding. Precipitation has received little attention in glacial erosion studies, but our data illustrate its importance.

Suggested Citation

  • Simon J. Cook & Darrel A. Swift & Martin P. Kirkbride & Peter G. Knight & Richard I. Waller, 2020. "The empirical basis for modelling glacial erosion rates," Nature Communications, Nature, vol. 11(1), pages 1-7, December.
    • Handle: RePEc:nat:natcom:v:11:y:2020:i:1:d:10.1038_s41467-020-14583-8
    DOI: 10.1038/s41467-020-14583-8
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    Cited by:

    1. H. Patton & A. Hubbard & J. Heyman & N. Alexandropoulou & A. P. E. Lasabuda & A. P. Stroeven & A. M. Hall & M. Winsborrow & D. E. Sugden & J. Kleman & K. Andreassen, 2022. "The extreme yet transient nature of glacial erosion," Nature Communications, Nature, vol. 13(1), pages 1-14, December.

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