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 - 444.3 KB - MD5: 82f807477a2eb9456c2385cc7d9eaa35
Uploaded with pyDataverse 2026-04-01 14:37
Comma Separated Values - 1.3 MB - MD5: 9b8ae7627767fcb7eb267b0d09ebae99
Uploaded with pyDataverse 2026-04-01 14:33
Network Common Data Form - 1.4 MB - MD5: f91f966b91e9c44ced20b2d45a6221a8
Uploaded with pyDataverse 2026-04-01 14:33
Comma Separated Values - 32.5 MB - MD5: 020238f2f190ae42e9c69b535325aa08
Uploaded with pyDataverse 2026-04-01 14:32
Network Common Data Form - 21.2 MB - MD5: 87bc0000dd764edeea61ef786546b251
Uploaded with pyDataverse 2026-04-01 14:33
Comma Separated Values - 46.1 KB - MD5: 70b240491b2ea967c4fa646f7cb94483
Uploaded with pyDataverse 2026-04-01 14:32
Network Common Data Form - 406.6 KB - MD5: 4a4b6cdeb2d31936e6cfd50cf5194f8a
Uploaded with pyDataverse 2026-04-01 14:32
Comma Separated Values - 2.4 MB - MD5: aed7c128a1f7d44161bf3eabcce1c355
Uploaded with pyDataverse 2026-04-01 14:09
Network Common Data Form - 2.1 MB - MD5: 28bfada8d4ea4a1ed080156f4a0fd363
Uploaded with pyDataverse 2026-04-01 14:10
Comma Separated Values - 58.4 MB - MD5: aa8286ecb29f72065c3889e5ee0e9578
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