Assessment of SWOT for Monitoring Ice‐Marginal Lake Water Levels in Greenland

Abstract The Surface Water and Ocean Topography (SWOT) satellite mission provides a powerful data set for monitoring global surface water resources. However, its performance for monitoring ice‐marginal lakes in Greenland remains unknown. Due to the scarcity of in situ measurements, this study evaluated the reliability of ice‐marginal lake elevations derived from the SWOT Water Mask Raster Product by comparing to ICESat‐2 LiDAR altimeter data. Results show that across 204 near‐contemporaneous water level points for 110 lakes, the average deviation between SWOT and ICESat‐2 was 0.03 m, with a root mean square deviation of 1.43 m, showing a good agreement. The higher temporal resolution of SWOT (<21 days over Greenland) enabled better monitoring of glacial lake outburst floods (GLOFs), with a 100% increase in the number of GLOFs detected compared to ICESat‐2 between 2023 and 2024. These advantages make SWOT an excellent data source for monitoring ice‐marginal lakes around the Greenland Ice Sheet.

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Publication Details

Journal
Geophysical Research Letters
Published
2026-02-28
DOI
https://doi.org/10.1029/2025gl120513
Primary Topic
Cryospheric studies and observations
Type
article
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article

Assessment of SWOT for Monitoring Ice‐Marginal Lake Water Levels in Greenland

Yubin Fan, Xiaoyi Shen, Stephen J. Livingstone, Chang‐Qing Ke
Geophysical Research Letters
Cryospheric studies and observations
article

Assessment of SWOT for Monitoring Ice‐Marginal Lake Water Levels in Greenland

Yubin Fan, Xiaoyi Shen, Stephen J. Livingstone, Chang‐Qing Ke
article en

Abstract

Abstract The Surface Water and Ocean Topography (SWOT) satellite mission provides a powerful data set for monitoring global surface water resources. However, its performance for monitoring ice‐marginal lakes in Greenland remains unknown. Due to the scarcity of in situ measurements, this study evaluated the reliability of ice‐marginal lake elevations derived from the SWOT Water Mask Raster Product by comparing to ICESat‐2 LiDAR altimeter data. Results show that across 204 near‐contemporaneous water level points for 110 lakes, the average deviation between SWOT and ICESat‐2 was 0.03 m, with a root mean square deviation of 1.43 m, showing a good agreement. The higher temporal resolution of SWOT (<21 days over Greenland) enabled better monitoring of glacial lake outburst floods (GLOFs), with a 100% increase in the number of GLOFs detected compared to ICESat‐2 between 2023 and 2024. These advantages make SWOT an excellent data source for monitoring ice‐marginal lakes around the Greenland Ice Sheet.

Geophysical Research LettersVol. 53(5)
Hohai University (CN), Chizhou University (CN), Nanjing University (CN), University of Sheffield (GB)
Life below water
Openalex Percentile: Top 49%
Cryospheric studies and observations
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