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 - 510.6 KB - MD5: 8ef975789dd8c3a937b6c4ad42f711ce
Uploaded with pyDataverse 2026-11-07 02:27
Comma Separated Values - 3.3 MB - MD5: ba247118af06a5d7fe9d7c0f4ad75cbd
Uploaded with pyDataverse 2026-11-07 02:16
Network Common Data Form - 2.6 MB - MD5: 2fb46b6e5a6091e025391222c715440b
Uploaded with pyDataverse 2026-11-07 02:17
Comma Separated Values - 75.9 MB - MD5: 2c571e27a045dddca664f75c10a393a1
Uploaded with pyDataverse 2026-11-07 02:17
Network Common Data Form - 33.3 MB - MD5: 9ca6c476629efafed65ec59848e556a8
Uploaded with pyDataverse 2026-11-07 02:18
Comma Separated Values - 116.5 KB - MD5: a1e2c4595e670afd852d60dbef9e7e5a
Uploaded with pyDataverse 2026-11-07 02:16
Network Common Data Form - 514.4 KB - MD5: 3bc5cf65dcb130d907c8fea015f59214
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Comma Separated Values - 3.5 MB - MD5: 5f78457549765716070b67f6f13eb7ba
Uploaded with pyDataverse 2026-11-07 00:50
Network Common Data Form - 2.7 MB - MD5: 17c81f42c44f4d26c1cbd6b94e94f50d
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Comma Separated Values - 78.4 MB - MD5: dd4646785d7ef6d834dd93dcf39aaf95
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