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 - 34.4 MB - MD5: af392d43460cc47a391b46bc8136cf29
Uploaded with pyDataverse 2025-09-01 14:27
Comma Separated Values - 73.1 KB - MD5: de5227196e4c98a6e4272ea6175ddda5
Uploaded with pyDataverse 2025-09-01 14:28
Network Common Data Form - 429.4 KB - MD5: 87680904d4a808c9a6b3c9f2e9656033
Uploaded with pyDataverse 2025-09-01 14:27
Comma Separated Values - 3.4 MB - MD5: 18519eea6ffae2d857d567f76d805713
Uploaded with pyDataverse 2025-09-01 13:53
Network Common Data Form - 2.4 MB - MD5: 3045b7fd93b5b8873f8bef56e1711010
Uploaded with pyDataverse 2025-09-01 13:53
Comma Separated Values - 72.8 MB - MD5: 07614477d59b7609af608357ff713577
Uploaded with pyDataverse 2025-09-01 13:53
Network Common Data Form - 28.7 MB - MD5: 8801aea39b3eefbd4d970f4c716bac32
Uploaded with pyDataverse 2025-09-01 13:52
Comma Separated Values - 120.4 KB - MD5: 7b25a5be82d4d0ee13de6e1613f5b410
Uploaded with pyDataverse 2025-09-01 13:52
Network Common Data Form - 524.9 KB - MD5: 6c91004ed69d17841f87831b87887040
Uploaded with pyDataverse 2025-09-01 13:52
Comma Separated Values - 2.3 MB - MD5: b3a5ce15ed66b6217a13fed60b35a1ab
Uploaded with pyDataverse 2025-09-01 13:44
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