Dissolved inorganic and organic nutrient concentrations, dissolved organic carbon concentrations and glacier algal cell abundance are quantified for supraglacial environments in the Dark Zone of the Greenland Ice Sheet during July and August 2016. Samples include surface ice with varying degrees of visible impurities, cryoconite hole water and supraglacial stream water. Surface ice samples are comprised of the top 2 cm of a 1x1 m ice surface area. Dissolved inorganic nitrogen (DIN), dissolved organic nitrogen (DON), dissolved inorganic phosphorus (DIP), dissolved organic phosphorus (DOP) and dissolved organic carbon (DOC) were quantified for all ice surface, supraglacial stream and cryoconite hole water samples collected. Glacier algae abundance was quantified for ice surface samples. Field blank corrections were conducted for all DIN, DON, DIP, DOP and DOC data. Any values resulting below the instrument limit of detection were considered to be 0. Funding was provided by the NERC ''Black and Bloom'' grant NE/M021025/1 and the Marie Sklodowska-Curie grant agreement No 675546.
The abundance, photophysiology, pigmentation, bio-optical properties, cellular energy balance and instantaneous radiative forcing of glacier algal assemblages from the surface of the Greenland Ice Sheet (GrIS) are quantified throughout the 2016 ablation season. The effects of assemblages on ice surface albedo are further derived using a newly developed model of glacier algal blooms for the GrIS, radiative transfer modelling using BioSNICAR-GO, and comparisons to MODIS broadband albedo observations over the same season. Data represent a composite of in-situ observations, in-situ incubations studies, laboratory analyses, modelling and remote sensing. All in -situ work was performed at site S6 of the K-Transect in the southwestern GrIS ablation zone as part of the Black and Bloom project. Funding was provided by the NERC ''Black and Bloom'' grant NE/M021025/1 and the Marie Sklodowska-Curie grant agreement No 675546.
These files are gridded topography, rates of surface elevation change, and errors as 500m and 1km posting determined from surface elevation measured by swath processing of data acquired by the interferometric radar altimeter CryoSat-2. The gridded products cover the Greenland Ice Sheet between 2011 and 2016. These data have been processed by the University of Edinburgh and are made publicly available as part of a European Space Agency funded project involving the University of Edinburgh, isardSat UK, University of Leeds-CPOM, ENVEO. Gridded elevation and elevation change over the CryoSat-2 LRM sector of the Greenland Ice Sheet are provided by CPOM. This dataset is part of ESA''s CryoTop Evolution project.
These files are surface elevation determined from swath processing of data acquired by the interferometric radar altimeter CryoSat-2. The data have been collected and processed over the Greenland Ice Sheet between 2011 and 2016. These data have been processed by the University of Edinburgh and are made publicly available as part of the European Space Agency funded CryoSat+ CryoTop Evolution STSE Study (ESA Contract 4000116874) involving the University of Edinburgh, isardSat UK, University of Leeds-CPOM, ENVEO.
Improved Digital Elevation Model (DEM) of the Greenland Ice Sheet derived from Global Navigation Satellite Systems-Reflectometry (GNSS-R). This builds on a previous study (Cartwright et al., 2018) using GNSS-R to derive an Antarctic DEM but uses improved processing and an additional 13 months of measurements. A median bias of under 10 m and root-mean-square (RMS) errors of under 166 m are obtained, as compared to existing DEMs. Funding was provided by NERC grant NE/L002531/1.