Modelling seasonal fluctuations and aspect characteristics of ice-cliff melt on the debris-covered Trakarding Glacier, Rolwaling Valley, Nepal Himalaya

Abstract Ice cliffs on debris-covered glaciers act as melt hotspots that considerably enhance glacier ablation. However, studies are typically limited in time and space; glacier-scale studies of this process of ice cliff melt are rare, and their varying seasonal energy balance remains largely unknown. In this study, we combined a process-based ice cliff backwasting model with high-resolution (1.0 m) photogrammetry-based terrain data to simulate the year-round melt of 479 ice cliffs on Trakarding Glacier, Nepal Himalaya. Ice cliff melt accounted for 26% of the mass loss of the glacier from October 2018 to October 2019, despite covering only 1.7% of the glacier surface. The annual melt rate of ice cliffs was 2.7 cm w.e. d −1 , which is 8–9 times higher than the sub-debris melt rate. Ice cliff melt rates were significantly controlled by their aspects, with south-facing ice cliffs showing a melt rate 1.8 times higher than that of north facing ones. The results revealed that the aspect dependence of ice cliff melt rate was amplified in winter and decreased/disappeared toward the monsoon season. The seasonal changes in melt characteristics are considered to be related to variations in direct shortwave radiation onto the cliff surface, which are dependent on changes in solar altitude and monsoonal cloud cover.

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Publication Details

Journal
Journal of Glaciology
Published
2025-01-01
DOI
https://doi.org/10.1017/jog.2025.17
Citations
2
Primary Topic
Cryospheric studies and observations
Type
article
Field-Weighted Citation Impact
2.60
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article

Modelling seasonal fluctuations and aspect characteristics of ice-cliff melt on the debris-covered Trakarding Glacier, Rolwaling Valley, Nepal Himalaya

Koji Fujita, Pascal Buri, Sojiro Sunako, Akiko Sakai et al.
2 citations
Journal of Glaciology
Cryospheric studies and observations
2.60
article

Modelling seasonal fluctuations and aspect characteristics of ice-cliff melt on the debris-covered Trakarding Glacier, Rolwaling Valley, Nepal Himalaya

Koji Fujita, Pascal Buri, Sojiro Sunako, Akiko Sakai, Evan Miles, Francesca Pellicciotti, Tika Ram Gurung, Yota Sato, Marin Kneib
article en
2 citations

Abstract

Abstract Ice cliffs on debris-covered glaciers act as melt hotspots that considerably enhance glacier ablation. However, studies are typically limited in time and space; glacier-scale studies of this process of ice cliff melt are rare, and their varying seasonal energy balance remains largely unknown. In this study, we combined a process-based ice cliff backwasting model with high-resolution (1.0 m) photogrammetry-based terrain data to simulate the year-round melt of 479 ice cliffs on Trakarding Glacier, Nepal Himalaya. Ice cliff melt accounted for 26% of the mass loss of the glacier from October 2018 to October 2019, despite covering only 1.7% of the glacier surface. The annual melt rate of ice cliffs was 2.7 cm w.e. d −1 , which is 8–9 times higher than the sub-debris melt rate. Ice cliff melt rates were significantly controlled by their aspects, with south-facing ice cliffs showing a melt rate 1.8 times higher than that of north facing ones. The results revealed that the aspect dependence of ice cliff melt rate was amplified in winter and decreased/disappeared toward the monsoon season. The seasonal changes in melt characteristics are considered to be related to variations in direct shortwave radiation onto the cliff surface, which are dependent on changes in solar altitude and monsoonal cloud cover.

Journal of GlaciologyVol. 71
International Centre for Integrated Mountain Development (NP), Landscape Institute (GB), Japan Agency for Marine-Earth Science and Technology (JP), University of Alaska Fairbanks (US), Swiss Federal Institute for Forest, Snow and Landscape Research (CH), Northumbria University (GB), ETH Zurich (CH), Institute of Environmental Engineering (PL), National Research Institute for Earth Science and Disaster Resilience (JP), Nagoya University (JP)
Openalex Percentile: Top 13%
Cryospheric studies and observations
2.60
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