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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Comma Separated Values - 11.7 MB - MD5: b8b3dda0d2c675e7737337be71a90744
Uploaded with pyDataverse 2025-06-01 14:11
Network Common Data Form - 8.1 MB - MD5: 29f5a718665bd841b8484276ef39dfcf
Uploaded with pyDataverse 2025-06-01 14:10
Comma Separated Values - 19.0 KB - MD5: 056eab19963f92b318d4f58dfb19d698
Uploaded with pyDataverse 2025-06-01 14:11
Network Common Data Form - 347.7 KB - MD5: 8bf68ca12f3b07e1abfff3e928b6bc02
Uploaded with pyDataverse 2025-06-01 14:12
Comma Separated Values - 2.3 MB - MD5: 1c699a5efdec8ec301f6285b4d94b680
Uploaded with pyDataverse 2025-06-01 14:43
Network Common Data Form - 1.9 MB - MD5: 88070d6eb1b1c1b3173a418501a71705
Uploaded with pyDataverse 2025-06-01 14:44
Comma Separated Values - 55.7 MB - MD5: 9500c6afd2a77d6318eaf7d32b6759ef
Uploaded with pyDataverse 2025-06-01 14:44
Network Common Data Form - 34.2 MB - MD5: 778e1b1f5077f12ff6c2bd649386972f
Uploaded with pyDataverse 2025-06-01 14:43
Comma Separated Values - 80.6 KB - MD5: f53d2a67ce66bcd0bf1a392d2b0f6800
Uploaded with pyDataverse 2025-06-01 14:43
Network Common Data Form - 429.5 KB - MD5: d8ac325a9f715cb1da85409a3a056746
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