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 - 29.1 MB - MD5: 67da7e0d4cedec0ef6ed4dc21e6c6b10
Uploaded with pyDataverse 2026-11-07 03:00
Comma Separated Values - 66.9 KB - MD5: 4d8e2192ea7ec095c60020eacb11d0b0
Uploaded with pyDataverse 2026-11-07 02:59
Network Common Data Form - 387.0 KB - MD5: 31864177980664cca1546d9a2f9a6ab7
Uploaded with pyDataverse 2026-11-07 02:59
Comma Separated Values - 3.3 MB - MD5: a2e98b86ff701cd004acff099f5db106
Uploaded with pyDataverse 2026-11-07 02:39
Network Common Data Form - 2.5 MB - MD5: 4ab54c82d961b5f907e02d0983c62ec7
Uploaded with pyDataverse 2026-11-07 02:38
Comma Separated Values - 72.5 MB - MD5: 1516e844766c2342c83eb6bf7559afe9
Uploaded with pyDataverse 2026-11-07 02:39
Network Common Data Form - 29.5 MB - MD5: 470e019e246ed103bf44aece69c7fde0
Uploaded with pyDataverse 2026-11-07 02:38
Comma Separated Values - 116.5 KB - MD5: 0982939f965f1fa5b4435384a5265499
Uploaded with pyDataverse 2026-11-07 02:39
Network Common Data Form - 509.6 KB - MD5: 063ba39a48cdd185d0f1656c2328f312
Uploaded with pyDataverse 2026-11-07 02:40
Comma Separated Values - 3.3 MB - MD5: 16b5410d023b8c02a08b134e0ffc72c9
Uploaded with pyDataverse 2026-11-07 00:47
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