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  • 1
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    Sulfur hexafluoride (SF6) traces of Moulin L41A on the Greenland Ice Sheet measured in summer 2012 (2021)
    PANGAEA
    Details
    Publication Date: 2023-01-30
    Description: SF6 gas traces were injected into Moulin L41A, and samples were collected in the proglacial river near Leverett Glacier terminus (67.09N, -50.23E). A total of 11 traces were carried out between 16 June and 6 August, 2012. Tracers were injected at ~19:00 hrs, shortly after the peak daily moulin discharge (typically between 15:00 and 19:00 hrs). Tracer concentrations were monitored by collecting water samples from the proglacial river draining Leverett Glacier and were analysed by a Cambridge Scientific 300-series gas chromatograph fitted with an electron capture detector. Analytical errors (estimated from the analysis of duplicate samples) were below 15% and the level of detection of SF6 was below 0.005 parts per trillion by mass in water. The analytical method was more sensitive than that employed in our previous study at this site (Chandler et al., 2013, http://dx.doi.org/10.1038/ngeo1737) and is described in detail by Chandler et el. (In review, Earth and Planetary Science Letters)
    Keywords: DATE/TIME; Gas chromatograph with an electron capture detector (GC-ECD); Greenland; Greenland ice sheet; hydrology; ICEOBS; Ice observation; Ice Sheet; Identification; moulin; Moulin_L41A; subglacial; Sulfur hexafluoride, SF6; Time in hours; tracing
    Type: Dataset
    Format: text/tab-separated-values, 1137 data points
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  • 2
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    Supraglacial river discharge into Moulin L41A on the Greenland Ice Sheet measured in spring/summer 2012 (2021)
    PANGAEA
    Details
    Publication Date: 2023-01-30
    Description: Supraglacial river discharge was measured by monitoring water depth with a custom-built pressure sensor, at 1-minute intervals, and converting depth to discharge with a rating curve established from salt dilution gauging. Here we report 1-hour means of the 1-minute measurements. This method is well suited to supraglacial river gauging as the electrical conductivity of supraglacial melt water is very low. The pressure sensor was installed on the bottom of the channel and was able to move downwards with the ice surface as the channel gradually incised. Full details are provided in the online supplement to Wadham et al. (2016) at https://doi.org/10.5194/bg-13-6339-2016.
    Keywords: Calculated after Wadham et al. (2016); DATE/TIME; Greenland; Greenland ice sheet; hydrology; ICEOBS; Ice observation; Ice Sheet; moulin; Moulin_L41A; River discharge, hourly maximum; River discharge, hourly mean; River discharge, hourly minimum; subglacial; tracing
    Type: Dataset
    Format: text/tab-separated-values, 3492 data points
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  • 3
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    Ice ablation record from the Greenland Ice Sheet measured in spring/summer 2012 (2021)
    PANGAEA
    Details
    Publication Date: 2023-01-30
    Description: Surface ablation rates were measured daily using changes in ice surface height at five ablation stakes arranged in a cross configuration at ~2 m separation. The stakes were located in the supraglacial hydrological catchment feeding Moulin L41A. The stakes were installed in holes deeper than the length of the stake (so each measurement of ice surface height was made from the ice surface down to the top of the stake) to avoid the problem of enhanced surface melting caused by solar radiation absorbed by the stake. All ablation measurements were carried out by the same observer to ensure consistency for example in the interpretation of the level of a rough ice surface. A full description was provided by Chandler et al. (2015) at https://doi.org/10.5194/tc-9-487-2015.
    Keywords: Ablation; Ablation, standard deviation; After Chandler et al. (2015); DATE/TIME; Greenland; Greenland ice sheet; hydrology; ICEOBS; Ice observation; Ice Sheet; moulin; Moulin_L41A; subglacial; tracing
    Type: Dataset
    Format: text/tab-separated-values, 148 data points
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  • 4
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    Westwards component of ice surface velocity on the Greenland Ice Sheet measured in spring/summer 2012 (2021)
    PANGAEA
    Details
    Publication Date: 2023-01-30
    Description: Ice surface motion was recorded by five dual-frequency Leica SR520 GPS receivers deployed on poles drilled 2 m into the ice surface, within 700 m of Moulin L41A at 66.97N -49.27E. GPS data were post-processed kinematically (King, 2004, http://dx.doi.org/10.3189/172756504781829747) with Track v.1.27 software (Chen, 1998, Ph.D. thesis, Cambridge MA, USA) against bedrock-mounted reference stations using a precise ephemeris from the International GNSS Service )Dow et al., 2009, http://dx.doi.org/10.1007/s00190-008-0300-3). Reference stations were located 1 km from the terminus of Russell Glacier and at Kellyville, giving baseline lengths less than 41 km. Due to gaps in the time series caused by power outage, we averaged the horizontal velocities recorded at the five stations with the fewest gaps to give a single record. Positions were recorded at 30 s intervals; 1-hr means were then smoothed using a 5-point binomial filter. Since there was generally little difference in velocity between the stakes, the mean velocity across the network gives a better indication of the seasonal pattern of ice motion with fewer gaps than in the individual records. Velocities are centred differences of hourly displacements. GPS stakes required periodic re-drilling as they gradually melted out.
    Keywords: DATE/TIME; GPS receiver (Leica SR520); Greenland; Greenland ice sheet; hydrology; ICEOBS; Ice observation; Ice Sheet; Ice surface velocity; moulin; Moulin_L41A; subglacial; tracing
    Type: Dataset
    Format: text/tab-separated-values, 3125 data points
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  • 5
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    Proglacial river discharge from the Greenland Ice Sheet measured in spring/summer 2012 (2021)
    PANGAEA
    Details
    Publication Date: 2023-03-03
    Description: Proglacial river discharge was monitored using stage measurements (collected by a HOBO pressure sensor) and dye dilution gauging at a stable bedrock section near the terminus of Leverett Glacier, 67.09N -50.23E. Here we report hourly means of measurements made at 1 minute intervals. The same method has been used at this site over several melt seasons and is described in detail by Bartholomew et al. (2011, http://dx.doi.org/10.1029/2011GL047063) and Tedstone et al. (2013, http://dx.doi.org/10.1073/pnas.1315843110).
    Keywords: DATE/TIME; Greenland; Greenland ice sheet; hydrology; Ice Sheet; L Atalante; Leverett_glacier_HOBO; moulin; Pressure transducer, HOBO; River discharge, hourly mean; see description in data abstract; subglacial; tracing; ZAIROV
    Type: Dataset
    Format: text/tab-separated-values, 1592 data points
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  • 6
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    Major ion and silicon isotope composition of glacial meltwaters, Leverett and Kiattuut glacier, Greenland (2018)
    PANGAEA
    In:  Supplement to: Hatton, Jade Elizabeth; Hendry, Katharine R; Hawkings, Jonathan; Wadham, Jemma; Kohler, Tyler; Stibal, Marek; Beaton, Alexander; Bagshaw, Elizabeth; Telling, J (2019): Investigation of subglacial weathering under the Greenland Ice Sheet using silicon isotopes. Geochimica et Cosmochimica Acta, 247, 191-206, https://doi.org/10.1016/j.gca.2018.12.033
    Details
    Publication Date: 2023-09-30
    Description: This data product contains dissolved and amorphous particulate silicon concentrations and isotopic compositions, and ancillary data (discharge, conductivity, suspended particulate matter, pH, major ion data) for glacial meltwaters collected from two glaciers in Greenland: Leverett Glacier (67 degrees N, 50 degrees W) and Kiattuut Sermiat (61 degrees N, 45 degrees W).
    Keywords: Aluminium; Bicarbonate; Calcium; Chloride; Conductivity, electrical; DATE/TIME; Day of the year; Event label; Fluoride; Glacier discharge; Greenland; Ion chromatography; Kiattuut_glacier; Leverett_glacier; Magnesium; Multi-Collector ICP-MS (MC-ICP-MS); Nitrate; Original value; pH; Potassium; Silicon; Silicon, particulate amorphous; Sodium; Sulfate; Suspended particulate matter; Water sample; WS; Year of observation; δ30Si, silicon dissolved; δ30Si, silicon particulate amorphous
    Type: Dataset
    Format: text/tab-separated-values, 6107 data points
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  • 7
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    Silicon isotopes in Arctic and sub-Arctic glacial meltwaters (2019)
    PANGAEA
    In:  Supplement to: Hatton, Jade Elizabeth; Hendry, Katharine R; Hawkings, Jonathan; Wadham, Jemma; Opfergelt, Sophie; Kohler, Tyler; Yde, Jacob; Stibal, Marek; Žárský, Jakub (2019): Silicon isotopes in Arctic and sub-Arctic glacial meltwaters: the role of the subglacial weathering in the silicon cycle. Proceedings of the Royal Society A-Mathematical Physical and Engineering Sciences, 475(2228), https://doi.org/10.1098/rspa.2019.0098
    Details
    Publication Date: 2023-09-30
    Description: This data product contains dissolved and amorphous particulate silicon concentrations and isotopic compositions, and ancillary data (discharge, conductivity, suspended particulate matter, pH, major ion data) for glacial meltwaters collected from Pan Arctic and Subarctic glacial catchments.
    Keywords: Austerdalsbreen_glacier; Bicarbonate; Bicarbonate ion; Boverbreen_glacier; Calcium; Calcium cation; Chloride; Chloride anion; Conductivity, electrical; DATE/TIME; Disko_10_glacier; Disko_11_glacier; Disko_13_glacier; Disko_6_glacier; Drangajoekull_glacier; Eagle_glacier; Ebbabreen_glacier; Eyjabakkajoekull_glacier; Fluoride; Glacier; Herbert_glacier; ICY-LAB; Isotope CYcling in the LABrador Sea; Kuannersuit_glacier; Langjoekull_glacier; LATITUDE; Lemon_glacier; LONGITUDE; Magnesium; Magnesium cation; Mendenhall_glacier; MULT; Multiple investigations; Nansenbreen_glacier; pH; Potassium; Potassium cation; Ratio; Sefstroembreen_glacier; Silicon; Silicon, particulate amorphous; Skaftrafelljokull_glacier; Sodium; Sodium cation; Solheimajoekull_glacier; Styggedalsbreen_glacier; Sulfate; Sulfate anion; Suspended particulate matter; Temperature, water; δ30Si, silicon dissolved; δ30Si, silicon particulate amorphous
    Type: Dataset
    Format: text/tab-separated-values, 529 data points
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  • 8
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    Hydrographic and biogeochemical data from Godhäbsfjord and Ameralik Fjord, SW Greenland, 2018-2019 (2023)
    PANGAEA
    Details
    Publication Date: 2024-06-03
    Description: Dataset containing hydrographic and biogeochemical data from two fjords (Godhäbsfjord and Ameralik Fjord) in southwest Greenland. Data was collected during expeditions in July 2018 (KQ2018) and September 2019 (TU2019), as part of ERC funded (678371) project ICY-LAB (Isotope CYcling in the LABrador Sea) and Royal Society funded (RGF\EA\181036) project Biogeochemical Cycling in Greenlandic Fjords. All data derived from sensors are reported as an average related to the sampling period for the laboratory analysed data. For data corresponding with Towfish samples, this is a time-averaged value, corresponding to the time the Towfish was in the water and sampling occurred. For Niskin derived samples, the average for sensor derived data was calculated from a 5m depth window from a depth profiler CTD. Sampling method refers to the method in water samples were collected, prior to filtration, storage and laboratory analysis. FISH = a Towfish that was deployed for surface (up to 5m, average 3m) sampling. All detailed sampling protocols and station descriptions can be found in the associated cruise reports.
    Keywords: Alkaline extraction and Hach Lange spectrophotometer with the Heteropoly Blue Method; Biogeochemical_Cycling; Biogeochemical Cycling; Biogeochemical Cycling in Greenlandic Fjords; Bottle, Niskin; Calcium; Campaign of event; Carbon, organic, dissolved; Chloride; Chlorophyll a; Coastal Cycling; Date/Time of event; Day of the year; DEPTH, water; Event label; EXO3; EXO3 Multiparameter Water Quality Sonde (YSI, Xylem Inc., USA); FISH; Fish undulating, recording system tow; Glacial Export; Grab; GRAB; Greenlandic Fjords; ICY-LAB; Ion chromatograph, Dionex Corporation, ICS-5000; Isotope CYcling in the LABrador Sea; Isotope Ratio Mass Spectrometer, IsoPrime100; KQ18; KQ18/AF1_FISH; KQ18/AF1_GRAB; KQ18/AF1_NISKIN-1; KQ18/AF1_NISKIN-2; KQ18/AF2_FISH; KQ18/AF2_NISKIN-1; KQ18/AF2_NISKIN-2; KQ18/AF2_NISKIN-3; KQ18/AF3_FISH; KQ18/AF3_NISKIN-1; KQ18/AF3_NISKIN-2; KQ18/AF3_NISKIN-3; KQ18/GF1_FISH; KQ18/GF1_NISKIN-1; KQ18/GF1_NISKIN-2; KQ18/GF1_NISKIN-3; KQ18/GF2_FISH; KQ18/GF2_NISKIN-1; KQ18/GF2_NISKIN-2; KQ18/GF3_NISKIN; KQ18/GF4_FISH; KQ18/GF5_FISH; KQ18/GF5_NISKIN-1; KQ18/GF5_NISKIN-2; KQ18/GF5_NISKIN-3; KQ18/GF6_FISH; KQ18/GF6_NISKIN-1; KQ18/GF6_NISKIN-2; Latitude of event; Longitude of event; Magnesium; NIS; Nitrate; Nitrite; Nutrient Export; Phosphate; Potassium; R/V Kisaq; Salinity; Sample method; SEAL AutoAnalyzer 3 HR (AA3 HR); Shimadzu TOC-L total organic carbon analyzer; Silica, amorphous; Silicon, dissolved; Sodium; Station label; Sulfate; Temperature, water; TU19; TU19/AM10_FISH; TU19/AM10_NISKIN-1; TU19/AM10_NISKIN-2; TU19/AM10_TM-NISKIN; TU19/AM12_GRAB; TU19/AM3_FISH; TU19/AM3_NISKIN-1; TU19/AM3_NISKIN-2; TU19/AM3_TM-NISKIN; TU19/AM7_FISH; TU19/AM7_NISKIN-1; TU19/AM7_NISKIN-2; TU19/AM7_TM-NISKIN-1; TU19/AM7_TM-NISKIN-2; TU19/GF10_FISH; TU19/GF10_NISKIN-1; TU19/GF10_NISKIN-2; TU19/GF10_TM-NISKIN-1; TU19/GF10_TM-NISKIN-2; TU19/GF10_TM-NISKIN-3; TU19/GF13_FISH; TU19/GF13_NISKIN-1; TU19/GF13_NISKIN-2; TU19/GF13_TM-NISKIN; TU19/GF2_NISKIN; TU19/GF3_FISH; TU19/GF3_NISKIN-1; TU19/GF3_NISKIN-2; TU19/GF5_FISH; TU19/GF5_NISKIN; TU19/GF7_FISH; TU19/GF7_NISKIN-1; TU19/GF7_NISKIN-2; TU19/GF7_TM-NISKIN-1; TU19/GF7_TM-NISKIN-2; TU19/GF-Inlet_FISH; TU19/GF-Inlet_NISKIN; TU19/GF-Inlet_TM-NISKIN; TU19/GFX_FISH; TU19/GFX_NISKIN-1; TU19/GFX_NISKIN-2; TU19/GFX_TM-NISKIN-1; TU19/GFX_TM-NISKIN-2; TU19/GFX_TM-NISKIN-3; Tulu; Turbidity (Nephelometric turbidity unit); δ18O
    Type: Dataset
    Format: text/tab-separated-values, 1148 data points
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  • 9
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    Sources, cycling and export of nitrogen on the Greenland Ice Sheet (2016)
    Copernicus
    Details
    Publication Date: 2016-11-25
    Description: Fjord and continental shelf environments in the polar regions are host to some of the planet's most productive ecosystems and support economically important fisheries. Their productivity, however, is often critically dependent upon nutrient supply from upstream terrestrial environments delivered via river systems. In glacially fed coastal ecosystems, riverine nutrients are largely sourced from melting snow and ice. The largest and most extensive glacially fed coastal ecosystem in the Arctic is that bordering the Greenland Ice Sheet. The future primary productivity of this ecosystem, however, is uncertain. A potential increase in primary productivity driven by reduced sea ice extent and associated increased light levels may be curtailed by insufficient nutrient supply, and specifically nitrogen. Research on small valley glaciers indicates that glaciers are important sources of nitrogen to downstream environments. However, no data exist from ice sheet systems such as Greenland. Time series of nitrogen concentrations in runoff are documented from a large Greenland glacier, demonstrating seasonally elevated fluxes to the ocean. Fluxes are highest in mid-summer, when nitrogen limitation is commonly reported in coastal waters. It is estimated that approximately half of the glacially exported nitrogen is sourced from microbial activity within glacial sediments at the surface and bed of the ice sheet, doubling nitrogen fluxes in runoff. Summer dissolved inorganic nitrogen fluxes from the Greenland Ice Sheet (30–40 Gg) are a similar order of magnitude to those from a large Arctic river (Holmes et al., 2012). Nitrogen yields from the ice sheet (236 kg TDN km−2 a−1), however, are approximately double those from Arctic riverine catchments. We assert that this ice sheet nitrogen subsidy to Arctic coastal ecosystems may be important for understanding coastal biodiversity, productivity and fisheries and should be considered in future biogeochemical modelling studies of coastal marine productivity in the Arctic regions.
    Print ISSN: 1726-4170
    Electronic ISSN: 1726-4189
    Topics: Biology , Geosciences
    Published by Copernicus on behalf of European Geosciences Union.
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