Controls on the relative melt rates of debris-covered glacier surfaces

  • Evan Stuart Miles*
  • , J. F. Steiner
  • , P. Buri
  • , W. W. Immerzeel
  • , F. Pellicciotti
  • *Corresponding author for this work

Research output: Contribution to journalLetterAcademicpeer-review

Abstract

Supraglacial debris covers 7% of mountain glacier area globally and generally reduces glacier surface melt. Enhanced energy absorption at ice cliffs and supraglacial ponds scattered across the debris surface leads these features to contribute disproportionately to glacier-wide ablation. However, the degree to which cliffs and ponds actually increase melt rates remains unclear, as these features have only been studied in a detailed manner for selected locations, almost exclusively in High Mountain Asia. In this study we model the surface energy balance for debris-covered ice, ice cliffs, and supraglacial ponds with a set of automatic weather station records representing the global prevalence of debris-covered glacier ice. We generate 5000 random sets of values for physical parameters using probability distributions derived from literature, which we use to investigate relative melt rates and to isolate the melt responses of debris, cliffs and ponds to the site-specific meteorological forcing. Modelled sub-debris melt rates are primarily controlled by debris thickness and thermal conductivity. At a reference thickness of 0.1 m, sub-debris melt rates vary considerably, differing by up to a factor of four between sites, mainly attributable to air temperature differences. We find that melt rates for ice cliffs are consistently 2-3× the melt rate for clean glacier ice, but this melt enhancement decays with increasing clean ice melt rates. Energy absorption at supraglacial ponds is dominated by latent heat exchange and is therefore highly sensitive to wind speed and relative humidity, but is generally less than for clean ice. Our results provide reference melt enhancement factors for melt modelling of debris-covered glacier sites, globally, while highlighting the need for direct measurement of debris-covered glacier surface characteristics, physical parameters, and local meteorological conditions at a variety of sites around the world.

Original languageEnglish
Article number064004
Number of pages16
JournalEnvironmental Research Letters
Volume17
Issue number6
DOIs
Publication statusPublished - 13 May 2022

Bibliographical note

Funding Information:
This project has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation program Grant Agreements No. 772751 (RAVEN, Rapid mass losses of debris-covered glaciers in High Mountain Asia). It has also been supported by the European Research Council (ERC) Grant Agreement 676819 (CAT, Climbing the Asian Water Tower). Pascal Buri greatly acknowledges financial and logistical support from M Truffer, A Aschwanden, J Fochesatto of the University of Alaska—Fairbanks and L Lajoie of the National Park Service, as well as project funding from the SNF Early Postdoc.Mobility program (Grant No. 178420). This research was further enabled by the data gathering and standardization efforts by the Debris Covered Glacier Working Group of the International Association of Cryospheric Scientists (IACS).

Publisher Copyright:
© 2022 The Author(s). Published by IOP Publishing Ltd.

Funding

This project has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation program Grant Agreements No. 772751 (RAVEN, Rapid mass losses of debris-covered glaciers in High Mountain Asia). It has also been supported by the European Research Council (ERC) Grant Agreement 676819 (CAT, Climbing the Asian Water Tower). Pascal Buri greatly acknowledges financial and logistical support from M Truffer, A Aschwanden, J Fochesatto of the University of Alaska—Fairbanks and L Lajoie of the National Park Service, as well as project funding from the SNF Early Postdoc.Mobility program (Grant No. 178420). This research was further enabled by the data gathering and standardization efforts by the Debris Covered Glacier Working Group of the International Association of Cryospheric Scientists (IACS).

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being
  2. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • debris-covered glacier
  • glacier ablation
  • ice cliff
  • melt enhancement
  • supraglacial debris
  • supraglacial pond
  • surface energy balance

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