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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891 to 900 of 4,191 Results
PetermannELA_daily.csv
Jul 17, 2024 - GC-Net Level 1 historical automated weather station data
Comma Separated Values - 1.4 MB - MD5: 046cbd3beb614812407c1e2da7a546ed
PetermannGlacier.csv
Jul 17, 2024 - GC-Net Level 1 historical automated weather station data
Comma Separated Values - 10.0 MB - MD5: ed215e5e1d85e91be67a0fcd94dc39b6
PetermannGlacier_daily.csv
Jul 17, 2024 - GC-Net Level 1 historical automated weather station data
Comma Separated Values - 433.0 KB - MD5: 51180e067a71c5a8b30ad99a33291510
_ReadMe_L1.txt
Jul 17, 2024 - GC-Net Level 1 historical automated weather station data
Plain Text - 8.0 KB - MD5: b9b5303a5e7abc5084a3b2a3e76d0205
Saddle.csv
Jul 17, 2024 - GC-Net Level 1 historical automated weather station data
Comma Separated Values - 60.8 MB - MD5: 21da0425bca40163080293e85f0d9c57
Saddle_daily.csv
Jul 17, 2024 - GC-Net Level 1 historical automated weather station data
Comma Separated Values - 2.5 MB - MD5: 869ab58feea4fe2fd7b53d46e9d48cf5
SMS1.csv
Jul 17, 2024 - GC-Net Level 1 historical automated weather station data
Comma Separated Values - 3.7 MB - MD5: 2ba9eb6b1e594021590d4906be3adb50
SMS1_daily.csv
Jul 17, 2024 - GC-Net Level 1 historical automated weather station data
Comma Separated Values - 159.1 KB - MD5: e1821493451c60c6c0c33eaa487a6e87
SMS2.csv
Jul 17, 2024 - GC-Net Level 1 historical automated weather station data
Comma Separated Values - 3.0 MB - MD5: e27cf174a2ae97299a07ce036c7a3cb4
SMS2_daily.csv
Jul 17, 2024 - GC-Net Level 1 historical automated weather station data
Comma Separated Values - 130.8 KB - MD5: e6ddcab4c542b111bbed92a714deb918
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