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 2025-09-01 14:08
Network Common Data Form - 8.1 MB - MD5: 9bf3c43de8121a85f40d01b116e5ed48
Uploaded with pyDataverse 2025-09-01 14:07
Comma Separated Values - 19.0 KB - MD5: 056eab19963f92b318d4f58dfb19d698
Uploaded with pyDataverse 2025-09-01 14:08
Network Common Data Form - 347.7 KB - MD5: 99aca7475946c7be8d2bb5104981f3df
Uploaded with pyDataverse 2025-09-01 14:09
Comma Separated Values - 2.3 MB - MD5: c4d1738e8356c3e33fa2f236294ae7e3
Uploaded with pyDataverse 2025-09-01 14:38
Network Common Data Form - 2.0 MB - MD5: fcee5c062e8f10b4eadce8103446c589
Uploaded with pyDataverse 2025-09-01 14:39
Comma Separated Values - 56.7 MB - MD5: 454d5674d951ac182e50217dce53d4fc
Uploaded with pyDataverse 2025-09-01 14:39
Network Common Data Form - 34.8 MB - MD5: 2a8d82b7c6b4ee4072847eb8fc15b585
Uploaded with pyDataverse 2025-09-01 14:38
Comma Separated Values - 82.1 KB - MD5: 9783ab9297590dfe4fb61243662495fc
Uploaded with pyDataverse 2025-09-01 14:38
Network Common Data Form - 430.9 KB - MD5: e9cc07dc34358fc803f17a9b6405edb9
Uploaded with pyDataverse 2025-09-01 14:39
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