Preprints
https://doi.org/10.5194/egusphere-2026-6250
https://doi.org/10.5194/egusphere-2026-6250
09 Nov 2026
 | 09 Nov 2026
Status: this preprint is open for discussion and under review for The Cryosphere (TC).

Melt Feedback of Greenland Supraglacial Lakes at Catchment Scale

Jiake Wu, Lei Zheng, Qi Liang, Teng Li, Xiao Cheng, and Fengming Hui

Abstract. Supraglacial lakes (SGLs) are ubiquitous along the margins of the Greenland Ice Sheet (GrIS) during summer. By absorbing and storing energy and facilitating heat exchange between the atmosphere, lake water, and underlying ice, SGLs enhance lake-bottom ablation and contribute to ice-sheet mass loss. However, this potentially important contribution remains poorly quantified due to the lack of lake-bottom ablation observations. In this study, we estimated lake-bottom ablation of SGLs on the GrIS and the associated melt feedback using a distributed SGL model evaluated against satellite observations. Experiments in typical catchments reveal that the lake-bottom ablation volumes ranged from 2–6×10-3 km3 and the maximum rate reached 160 mm day-1. Lake-bottom ablation rates increased exponentially with rising air temperature and responded more rapidly than surrounding firn/ice melt rates. Lake-bottom ablation contributed more than 30 % of the lake volume growth, and SGL melt feedbacks increased the mean catchment melt rate by 12 %–19 % relative to the all-ice baseline. Our findings emphasize the critical role of lake-bottom ablation in amplifying surface melt over the GrIS under continued climate warming.

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Jiake Wu, Lei Zheng, Qi Liang, Teng Li, Xiao Cheng, and Fengming Hui

Status: open (until 21 Dec 2026)

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Jiake Wu, Lei Zheng, Qi Liang, Teng Li, Xiao Cheng, and Fengming Hui

Model code and software

GlacierLake_v3 Jiake Wu https://github.com/Jiake404/GlacierLake_v3/releases/tag/v1.0

Jiake Wu, Lei Zheng, Qi Liang, Teng Li, Xiao Cheng, and Fengming Hui

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Short summary
This study investigates lake-bottom ablation and melt feedback of supraglacial lakes on the Greenland Ice Sheet using a distributed numerical model validated against satellite observations. The model quantifies lake-bottom ablation and its contribution to lake volume growth and catchment-scale surface melt. The results provide insights into the role of supraglacial lakes in amplifying surface melt and ice-sheet mass loss under continued climate warming.
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