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  • AK-001-001; AK-002-001; AK-002-002; AK-003-001; AK-004-001; AK-005-001; Akuliarusiarsuup Kuua River, Kangerlussaq, Southwest Greenland; HMS; Hydrometeorological station; RGS; River gauging station; Site 1; Site 2; Site 3; Site 4; Site 5  (1)
  • AK-002-001; Akuliarusiarsuup Kuua River, Kangerlussaq, Southwest Greenland; DATE/TIME; Pressure, total; Pressure, water; RGS; River discharge, 30 minute lower range limit; River discharge, 30 minute mean; River discharge, 30 minute upper range limit; River gauging station; see reference(s); Site 2; Solinst Levelogger; Temperature, water; Validation flag/comment; Water level; Water level, uncorrected  (1)
  • Environment Pollution  (1)
  • Geosciences (General)  (1)
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  • 1
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    PANGAEA
    In:  Supplement to: Rennermalm, Asa K; Smith, Laurence C; Chu, Vena W; Forster, Richard R; Box, Jason E; Hagedorn, Birgit (2012): Proglacial river dataset from the Akuliarusiarsuup Kuua River northern tributary, Southwest Greenland, 2008 – 2010. Earth System Science Data, 4(1), 1-12, https://doi.org/10.5194/essd-4-1-2012
    Publication Date: 2023-11-21
    Description: Pressing scientific questions concerning the Greenland ice sheet's climatic sensitivity, hydrology, and contributions to current and future sea level rise require hydrological datasets to resolve. While direct observations of ice sheet meltwater losses can be obtained in terrestrial rivers draining the ice sheet and from lake levels, few such datasets exist. We present a new dataset of meltwater river discharge for the vicinity of Kangerlussuaq, Southwest Greenland. The dataset contains measurements of river stage and discharge for three sites along the Akuliarusiarsuup Kuua (Watson) River's northern tributary, with 30 minute temporal resolution between June 2008 and August 2010. Additional data of water temperature, air pressure, and lake water depth and temperature are also provided. Discharge data were measured at sites with near-ideal properties for such data collection. Regardless, high water bedload and turbulent flow introduce considerable uncertainty. These were constrained and quantified using statistical techniques, thereby providing a high quality dataset from this important site. The greatest data uncertainties are associated with streambed elevation change and measurements. Large portions of stream channels deepened according to statistical tests, but poor precision of streambed depth measurements also added uncertainty. Quality checked data are freely available for scientific use as supplementary online material.
    Keywords: AK-001-001; AK-002-001; AK-002-002; AK-003-001; AK-004-001; AK-005-001; Akuliarusiarsuup Kuua River, Kangerlussaq, Southwest Greenland; HMS; Hydrometeorological station; RGS; River gauging station; Site 1; Site 2; Site 3; Site 4; Site 5
    Type: Dataset
    Format: application/zip, 6 datasets
    Location Call Number Expected Availability
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  • 2
    Publication Date: 2023-11-24
    Keywords: AK-002-001; Akuliarusiarsuup Kuua River, Kangerlussaq, Southwest Greenland; DATE/TIME; Pressure, total; Pressure, water; RGS; River discharge, 30 minute lower range limit; River discharge, 30 minute mean; River discharge, 30 minute upper range limit; River gauging station; see reference(s); Site 2; Solinst Levelogger; Temperature, water; Validation flag/comment; Water level; Water level, uncorrected
    Type: Dataset
    Format: text/tab-separated-values, 193710 data points
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  • 3
    Publication Date: 2019-07-12
    Description: The accelerating loss of mass from the Greenland ice sheet is a major contribution to current sea level rise. Increased melt water runoff is responsible for half of Greenlands mass loss increase. Surface melt has been increasing in extent and intensity, setting a record for surface area melt and runoff in 2012. The mechanisms and timescales involved in allowing surface melt water to reach the ocean where it can contribute to sea level rise are poorly understood. The potential capacity to store this water in liquid or frozen form in the firn (multi-year snow layer) is significant, and could delay its sea-level contribution. Here we describe direct observation of water within a perennial firn aquifer persisting throughout the winter in the southern ice sheet,where snow accumulation and melt rates are high. This represents a previously unknown storagemode for water within the ice sheet. Ice cores, groundairborne radar and a regional climatemodel are used to estimate aquifer area (70 plue or minus 10 x 10(exp 3) square kilometers ) and water table depth (5-50 m). The perennial firn aquifer represents a new glacier facies to be considered 29 in future ice sheet mass 30 and energy budget calculations.
    Keywords: Geosciences (General)
    Type: GSFC-E-DAA-TN12183
    Format: application/pdf
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  • 4
    Publication Date: 2019-08-15
    Description: The Advanced Very High Resolution (AVHRR) Polar Pathfinder Data (APP) provides the first long time series of consistent, calibrated surface albedo and surface temperature data for the polar regions. Validations of these products have consisted of individual studies that analyzed algorithm performance for limited regions and or time periods. This paper reports on comparisons made between the APP-derived surface albedo and that measured at fourteen automatic weather stations (AWS) around the Greenland ice sheet from January 1997 to August 1998. Results show that satellite-derived surface albedo values are on average 10% less than those measured by the AWS stations. However, the station measurements tend to be biased high by about 4% and thus the differences in absolute albedo may be less (e.g. 6%). In regions of the ice sheet where the albedo variability is small, such as the dry snow facies, the APP albedo uncertainty exceeds the natural variability. Further work is needed to improve the absolute accuracy of the APP-derived surface albedo. Even so, the data provide temporally and spatially consistent estimates of the Greenland ice sheet albedo.
    Keywords: Environment Pollution
    Format: application/pdf
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