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 - 628.7 KB - MD5: 45a0373b64fc0f95b5f56dbac2a6f65b
Uploaded with pyDataverse 2026-07-06 16:57
Comma Separated Values - 897 B - MD5: 2865cf71d4b5f7cfda56bec281fa239c
Uploaded with pyDataverse 2026-07-06 16:58
Network Common Data Form - 224.1 KB - MD5: 5f9895bf73a0bd3da5933da6488723ed
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Comma Separated Values - 3.7 MB - MD5: d19882ddc1c9f2edea655f6e4c4ee590
Uploaded with pyDataverse 2026-07-06 16:43
Network Common Data Form - 2.8 MB - MD5: 822099c89ff436f23a28d78d4ceb97d7
Uploaded with pyDataverse 2026-07-06 16:42
Comma Separated Values - 84.7 MB - MD5: b4862e1239185ee8cf19d720a3170b7e
Uploaded with pyDataverse 2026-07-06 16:44
Network Common Data Form - 37.0 MB - MD5: 31482909cab3005ac9ea3e0df58ba588
Uploaded with pyDataverse 2026-07-06 16:43
Comma Separated Values - 129.2 KB - MD5: 3355dc86afdfc7b3d4dcb9ab86402688
Uploaded with pyDataverse 2026-07-06 16:42
Network Common Data Form - 516.7 KB - MD5: eb7d7ad34c49c47453d6fbfdc1cafe49
Uploaded with pyDataverse 2026-07-06 16:42
Comma Separated Values - 1.4 MB - MD5: 3eab4ae8d4ee71fbe2e6caab4ccd4a55
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