In 2007, Denmark launched the Programme for Monitoring of the Greenland Ice Sheet (PROMICE) to assess changes in the mass balance of the ice sheet. The two major contributors to the ice sheet mass loss are surface melt and a larger production of icebergs through faster ice flow. PROMICE is focused on both processes. Ice movement and discharge is tracked by satellites and GPSs. The surface mass balance is monitored by a network of weather stations in the melt zone of the ice sheet, providing ground truth data to calibrate mass budget models.

The Greenland Climate Network (GC-Net) was established in 1995 by Prof. Konrad Steffen at CIRES, to obtain knowledge of the mass gain and climatology of the ice sheet. The programme was funded by the USA until 2020, at which point Denmark assumed responsibility for the operation and maintenance of the weather station network. The snowfall and climatology are monitored by a network of weather stations in the accumulation zone of the ice sheet, supplemented by satellite-derived data products.

Together, the two monitoring programmes deliver data about the mass balance of the Greenland ice sheet in near real-time. Explore our project dataverses and datasets below.
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871 to 880 of 4,189 Results
L1_variable_list.csv
Jul 17, 2024 - GC-Net Level 1 historical automated weather station data
Comma Separated Values - 3.6 KB - MD5: 168b3cb6225bb08f3ecae4874f202e08
LAR1.csv
Jul 17, 2024 - GC-Net Level 1 historical automated weather station data
Comma Separated Values - 6.4 MB - MD5: 0ee5d6b3f521431f5f8def20fa09bf39
LAR1_daily.csv
Jul 17, 2024 - GC-Net Level 1 historical automated weather station data
Comma Separated Values - 271.8 KB - MD5: 7d2a70ee52d2206e8350706422a2fa78
LAR2.csv
Jul 17, 2024 - GC-Net Level 1 historical automated weather station data
Comma Separated Values - 4.8 MB - MD5: db22a2a84314226d06d656325ead0d71
LAR2_daily.csv
Jul 17, 2024 - GC-Net Level 1 historical automated weather station data
Comma Separated Values - 207.9 KB - MD5: 40956081290f540c62b311143a943127
LAR3.csv
Jul 17, 2024 - GC-Net Level 1 historical automated weather station data
Comma Separated Values - 3.2 MB - MD5: 41274df231a20c71aee065f947e93a52
LAR3_daily.csv
Jul 17, 2024 - GC-Net Level 1 historical automated weather station data
Comma Separated Values - 138.3 KB - MD5: fe92a232c0d4ab003c482fb39728513a
NASA-E.csv
Jul 17, 2024 - GC-Net Level 1 historical automated weather station data
Comma Separated Values - 68.7 MB - MD5: 8da63ec83ae4366e8d0037289756bcd8
NASA-E_daily.csv
Jul 17, 2024 - GC-Net Level 1 historical automated weather station data
Comma Separated Values - 2.9 MB - MD5: 23f465865ed45d20cff8f2f655a5b903
NASA-SE.csv
Jul 17, 2024 - GC-Net Level 1 historical automated weather station data
Comma Separated Values - 54.2 MB - MD5: 3c42b27bef17c2a49da04a6056c2f227
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