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 - 16.3 MB - MD5: 2b18de7c398ac3c36837a5602ac320a6
Uploaded with pyDataverse 2026-04-01 15:18
Comma Separated Values - 57.9 KB - MD5: 35b49507c2555ab7537105d622253170
Uploaded with pyDataverse 2026-04-01 15:17
Network Common Data Form - 477.1 KB - MD5: 547161f6734e45c46d9fb264e160bed6
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Comma Separated Values - 3.1 MB - MD5: d6faa820880696746552d4146ce49182
Uploaded with pyDataverse 2026-04-01 14:50
Network Common Data Form - 2.5 MB - MD5: 6f45b3c86cae63ac89d58d6cadee273c
Uploaded with pyDataverse 2026-04-01 14:49
Comma Separated Values - 67.3 MB - MD5: 5d7940914c5fbcd188b900c314c7481c
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Network Common Data Form - 30.2 MB - MD5: a8021cccb89ce90fa2a5087948e3dcc0
Uploaded with pyDataverse 2026-04-01 14:51
Comma Separated Values - 107.0 KB - MD5: 075f593c608a305c2edddc88e8d3f5b6
Uploaded with pyDataverse 2026-04-01 14:49
Network Common Data Form - 521.6 KB - MD5: 8f079e064cf940da0ad1670b3f8e1bee
Uploaded with pyDataverse 2026-04-01 14:51
Comma Separated Values - 160.0 KB - MD5: 44724409152665787f3252b5af8ee237
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