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• W4311446159 abstract "Abstract Accurate projections of the mass loss from the Greenland Ice Sheet (GrIS) require a complete understanding of the ice‐dynamic response to climate forcings on seasonal and interannual timescales and would greatly benefit from more observational evidence. Here, we analyze a 5‐year, high‐resolution data set of ice velocities of the GrIS using K ‐means, an unsupervised clustering algorithm, to identify ice‐sheet wide characteristic seasonal flow patterns. We include all areas flowing >0.3 m/d and obtain an ice‐sheet wide overview of the seasonality and the interannual variability. It shows both a spatial and interannual variability in seasonal flow patterns, both along individual glaciers and between glaciers. We compare with runoff from a regional climate model and infer that the ice‐sheet wide patterns are linked to the availability of water penetrating to the base of the ice." @default.
• W4311446159 created "2022-12-26" @default.
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• W4311446159 date "2022-12-26" @default.
• W4311446159 modified "2023-09-24" @default.
• W4311446159 title "Seasonal Patterns of Greenland Ice Velocity From Sentinel‐1 SAR Data Linked to Runoff" @default.
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• W4311446159 doi "https://doi.org/10.1029/2022gl100343" @default.
• W4311446159 hasPublicationYear "2022" @default.
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