---
_id: '12587'
abstract:
- lang: eng
  text: Surface energy-balance models are commonly used in conjunction with satellite
    thermal imagery to estimate supraglacial debris thickness. Removing the need for
    local meteorological data in the debris thickness estimation workflow could improve
    the versatility and spatiotemporal application of debris thickness estimation.
    We evaluate the use of regional reanalysis data to derive debris thickness for
    two mountain glaciers using a surface energy-balance model. Results forced using
    ERA-5 agree with AWS-derived estimates to within 0.01 ± 0.05 m for Miage Glacier,
    Italy, and 0.01 ± 0.02 m for Khumbu Glacier, Nepal. ERA-5 data were then used
    to estimate spatiotemporal changes in debris thickness over a ~20-year period
    for Miage Glacier, Khumbu Glacier and Haut Glacier d'Arolla, Switzerland. We observe
    significant increases in debris thickness at the terminus for Haut Glacier d'Arolla
    and at the margins of the expanding debris cover at all glaciers. While simulated
    debris thickness was underestimated compared to point measurements in areas of
    thick debris, our approach can reconstruct glacier-scale debris thickness distribution
    and its temporal evolution over multiple decades. We find significant changes
    in debris thickness over areas of thin debris, areas susceptible to high ablation
    rates, where current knowledge of debris evolution is limited.
article_processing_charge: No
article_type: original
author:
- first_name: Rebecca L.
  full_name: Stewart, Rebecca L.
  last_name: Stewart
- first_name: Matthew
  full_name: Westoby, Matthew
  last_name: Westoby
- first_name: Francesca
  full_name: Pellicciotti, Francesca
  id: b28f055a-81ea-11ed-b70c-a9fe7f7b0e70
  last_name: Pellicciotti
- first_name: Ann
  full_name: Rowan, Ann
  last_name: Rowan
- first_name: Darrel
  full_name: Swift, Darrel
  last_name: Swift
- first_name: Benjamin
  full_name: Brock, Benjamin
  last_name: Brock
- first_name: John
  full_name: Woodward, John
  last_name: Woodward
citation:
  ama: Stewart RL, Westoby M, Pellicciotti F, et al. Using climate reanalysis data
    in conjunction with multi-temporal satellite thermal imagery to derive supraglacial
    debris thickness changes from energy-balance modelling. <i>Journal of Glaciology</i>.
    2021;67(262):366-384. doi:<a href="https://doi.org/10.1017/jog.2020.111">10.1017/jog.2020.111</a>
  apa: Stewart, R. L., Westoby, M., Pellicciotti, F., Rowan, A., Swift, D., Brock,
    B., &#38; Woodward, J. (2021). Using climate reanalysis data in conjunction with
    multi-temporal satellite thermal imagery to derive supraglacial debris thickness
    changes from energy-balance modelling. <i>Journal of Glaciology</i>. Cambridge
    University Press. <a href="https://doi.org/10.1017/jog.2020.111">https://doi.org/10.1017/jog.2020.111</a>
  chicago: Stewart, Rebecca L., Matthew Westoby, Francesca Pellicciotti, Ann Rowan,
    Darrel Swift, Benjamin Brock, and John Woodward. “Using Climate Reanalysis Data
    in Conjunction with Multi-Temporal Satellite Thermal Imagery to Derive Supraglacial
    Debris Thickness Changes from Energy-Balance Modelling.” <i>Journal of Glaciology</i>.
    Cambridge University Press, 2021. <a href="https://doi.org/10.1017/jog.2020.111">https://doi.org/10.1017/jog.2020.111</a>.
  ieee: R. L. Stewart <i>et al.</i>, “Using climate reanalysis data in conjunction
    with multi-temporal satellite thermal imagery to derive supraglacial debris thickness
    changes from energy-balance modelling,” <i>Journal of Glaciology</i>, vol. 67,
    no. 262. Cambridge University Press, pp. 366–384, 2021.
  ista: Stewart RL, Westoby M, Pellicciotti F, Rowan A, Swift D, Brock B, Woodward
    J. 2021. Using climate reanalysis data in conjunction with multi-temporal satellite
    thermal imagery to derive supraglacial debris thickness changes from energy-balance
    modelling. Journal of Glaciology. 67(262), 366–384.
  mla: Stewart, Rebecca L., et al. “Using Climate Reanalysis Data in Conjunction with
    Multi-Temporal Satellite Thermal Imagery to Derive Supraglacial Debris Thickness
    Changes from Energy-Balance Modelling.” <i>Journal of Glaciology</i>, vol. 67,
    no. 262, Cambridge University Press, 2021, pp. 366–84, doi:<a href="https://doi.org/10.1017/jog.2020.111">10.1017/jog.2020.111</a>.
  short: R.L. Stewart, M. Westoby, F. Pellicciotti, A. Rowan, D. Swift, B. Brock,
    J. Woodward, Journal of Glaciology 67 (2021) 366–384.
date_created: 2023-02-20T08:11:42Z
date_published: 2021-04-01T00:00:00Z
date_updated: 2023-02-28T13:07:11Z
day: '01'
doi: 10.1017/jog.2020.111
extern: '1'
intvolume: '        67'
issue: '262'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://doi.org/10.1017/jog.2020.111
month: '04'
oa: 1
oa_version: Published Version
page: 366-384
publication: Journal of Glaciology
publication_identifier:
  eissn:
  - 1727-5652
  issn:
  - 0022-1430
publication_status: published
publisher: Cambridge University Press
quality_controlled: '1'
scopus_import: '1'
status: public
title: Using climate reanalysis data in conjunction with multi-temporal satellite
  thermal imagery to derive supraglacial debris thickness changes from energy-balance
  modelling
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 67
year: '2021'
...