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 - 8.7 KB - MD5: 4249412578f568471eb55f27a54f2179
Uploaded with pyDataverse 2026-03-03 14:58
Network Common Data Form - 357.3 KB - MD5: c5e6990516ec40b3a956dfdef810cd29
Uploaded with pyDataverse 2026-03-03 14:58
Comma Separated Values - 2.4 MB - MD5: 5acd526b54710c7d039fcbee16308479
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Network Common Data Form - 2.2 MB - MD5: 0d37153cb1b5ec615f1bd67f991df155
Uploaded with pyDataverse 2026-03-03 16:09
Comma Separated Values - 60.3 MB - MD5: a9d1a062961369ac7ef75c26f793648f
Uploaded with pyDataverse 2026-03-03 16:08
Network Common Data Form - 39.4 MB - MD5: 60a48ffc6fb551d247f3cad4e36adb40
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Comma Separated Values - 83.5 KB - MD5: 6426b5143de886e284035eb7e1d533e3
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Network Common Data Form - 437.5 KB - MD5: 14908b15295c3aef41a8f63cef9e1fec
Uploaded with pyDataverse 2026-03-03 16:07
Comma Separated Values - 2.4 MB - MD5: 1515d7bcb8166bd3b516c37cb256701f
Uploaded with pyDataverse 2026-03-03 15:39
Network Common Data Form - 2.1 MB - MD5: 280d2589495ae4f8056380253f3ae4e1
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