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 - 343.7 KB - MD5: 2aef4eb705778ac6faa168bf31f6b07f
Uploaded with pyDataverse 2026-07-06 18:24
Comma Separated Values - 2.7 MB - MD5: 6933c4771973ac30c4cb2643b010fc74
Uploaded with pyDataverse 2026-07-06 17:29
Network Common Data Form - 2.4 MB - MD5: 1468b017b8e0482fc844b75835fde500
Uploaded with pyDataverse 2026-07-06 17:30
Comma Separated Values - 68.2 MB - MD5: 1ae18f511065aeeba3f4bda54c384be2
Uploaded with pyDataverse 2026-07-06 17:31
Network Common Data Form - 44.8 MB - MD5: 8a364babeb7f89f0843facda707c51e1
Uploaded with pyDataverse 2026-07-06 17:29
Comma Separated Values - 91.5 KB - MD5: 133664b9f9177b4f5e4b4324e524cade
Uploaded with pyDataverse 2026-07-06 17:30
Network Common Data Form - 505.8 KB - MD5: e467936b79ae66f155566d332b07907e
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Comma Separated Values - 2.1 MB - MD5: 1653f4e746d1c705565022386c1c678a
Uploaded with pyDataverse 2026-07-06 18:18
Network Common Data Form - 1.8 MB - MD5: d912a4caebec5b87de70614e31eed945
Uploaded with pyDataverse 2026-07-06 18:17
Comma Separated Values - 57.3 MB - MD5: 59e8ee909677451c9e2ba100b7a4e2bc
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