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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881 to 890 of 4,176 Results
NASA-U_daily.csv
Jul 17, 2024 - GC-Net Level 1 historical automated weather station data
Comma Separated Values - 2.7 MB - MD5: 10a2db35fdeaf08aa1d5c5b77f10af4f
NEEM.csv
Jul 17, 2024 - GC-Net Level 1 historical automated weather station data
Comma Separated Values - 27.3 MB - MD5: 7784563b25325bf893baab4e4a3249f4
NEEM_daily.csv
Jul 17, 2024 - GC-Net Level 1 historical automated weather station data
Comma Separated Values - 1.1 MB - MD5: 8754ab973573ec956917dc914a290db7
NGRIP.csv
Jul 17, 2024 - GC-Net Level 1 historical automated weather station data
Comma Separated Values - 20.1 MB - MD5: 00c9037ff54b08b32015a93ecf8f815a
NGRIP_daily.csv
Jul 17, 2024 - GC-Net Level 1 historical automated weather station data
Comma Separated Values - 863.2 KB - MD5: 1ba29d60c9e3146019479577b28ff9c1
PetermannELA.csv
Jul 17, 2024 - GC-Net Level 1 historical automated weather station data
Comma Separated Values - 34.4 MB - MD5: ec0a112aae10324b511aa9a5403ee81c
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
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