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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Network Common Data Form - 241.0 KB - MD5: 90a83dd8d1378da63aeb4076009dc6df
Uploaded with pyDataverse 2025-07-01 14:41
Comma Separated Values - 3.7 MB - MD5: 124cef8ec120d14d550e8514f974cb2b
Uploaded with pyDataverse 2025-07-01 13:49
Network Common Data Form - 2.8 MB - MD5: 197e604efb0994877fcbed516deecf66
Uploaded with pyDataverse 2025-07-01 13:48
Comma Separated Values - 80.5 MB - MD5: c068369d4e7cdc79a36e06d3e55d0055
Uploaded with pyDataverse 2025-07-01 13:50
Network Common Data Form - 34.5 MB - MD5: 990f23ae9c5494d8691fb08f278a1dfa
Uploaded with pyDataverse 2025-07-01 13:50
Comma Separated Values - 132.7 KB - MD5: 7e74fff00b2287ccf5f72c17b615f0cc
Uploaded with pyDataverse 2025-07-01 13:49
Network Common Data Form - 530.8 KB - MD5: d3f1c61aa993b86e7e1d1e822e0aad5d
Uploaded with pyDataverse 2025-07-01 13:49
Comma Separated Values - 1.4 MB - MD5: 8deacdd4d2216dbf65155b3a29871ec9
Uploaded with pyDataverse 2025-07-01 14:08
Network Common Data Form - 1.4 MB - MD5: 216844823f77eb6bc2aa5767f8d78614
Uploaded with pyDataverse 2025-07-01 14:07
Comma Separated Values - 34.9 MB - MD5: f48356371f4b053548efba778c494c40
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