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Supporting Data - Shallow Fracture Buffers High Elevation Runoff in Northwest Greenland

Authors: Culberg, Riley; Chu, Winnie; Schroeder, Dustin M.;

Supporting Data - Shallow Fracture Buffers High Elevation Runoff in Northwest Greenland

Abstract

This dataset contains supporting data accompanying Culberg, et al "Shallow Fracture Buffers High Elevation Runoff in Northwest Greenland" submitted to Geophysical Research Letters. It includes the following: Ice-penetrating radar-derived mappings of transient firn aquifers and buried refrozen ice complexes (ice blobs) beneath ice slabs in Northwest Greenland. Porosity estimates derived from the inversion of ice-penetrating radar reflectivity for the 20150510_01 Ultrawideband MCoRDS transect flow in Northwest Greenland as part of NASA OIB. An NDWI stack image showing the maximum NDWI on a per pixel basis from all Landsat images between 2000 and 2016 for the region. Data for a time series of NDWI within the upslope catchment of each aquifer or blob. Locations of moulins, supraglacial lakes, and drained supraglacial lakes from high resolution optical imagery. Linear features extracted from the high resolution optical imagery. Surface crevasse densities and surface water feature densities inferred from the extracted linear features for the northern and southern portions of the ice slab region. Resistive stress and fracture toughness data for each location where fractures are inferred from the high resolution optical imagery. Full resolution image files for WorldView imagery used in Supporting Figure S6.

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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