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 - 527.8 KB - MD5: 513dfceb9b72f50c07d4a7039b5618fe
Uploaded with pyDataverse 2026-01-01 15:01
Comma Separated Values - 3.5 MB - MD5: 3592b3deb0ad524cbdfa251c6a2bab80
Uploaded with pyDataverse 2026-01-01 13:57
Network Common Data Form - 2.6 MB - MD5: 2201bcdcd5f1e00e668e7f16835ea058
Uploaded with pyDataverse 2026-01-01 13:57
Comma Separated Values - 74.8 MB - MD5: 2a0fdd9b248279b1591d991ba54789c8
Uploaded with pyDataverse 2026-01-01 13:58
Network Common Data Form - 31.6 MB - MD5: 358289c7e0e4107a7ae788cfc470dfaa
Uploaded with pyDataverse 2026-01-01 13:57
Comma Separated Values - 119.9 KB - MD5: 6f5c0078725f095eb44776612b9008cb
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Network Common Data Form - 526.4 KB - MD5: 7326fe047ba9158e773e0ced899ebaa1
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Comma Separated Values - 1.7 MB - MD5: 9d0f27906d27eed20eb591670ecec8ad
Uploaded with pyDataverse 2026-01-01 14:44
Network Common Data Form - 1.6 MB - MD5: 9b8ff08d0e2b5e165dc6857ffe284942
Uploaded with pyDataverse 2026-01-01 14:43
Comma Separated Values - 41.5 MB - MD5: 74fc745132da338f6f5a71ead5666e88
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