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 - 28.5 MB - MD5: b7b50d2c8adab9b360dd87e83831940d
Uploaded with pyDataverse 2026-04-01 14:05
Comma Separated Values - 112.9 KB - MD5: 769ec90cdc036fd4195fce3e95bd5209
Uploaded with pyDataverse 2026-04-01 14:04
Network Common Data Form - 523.0 KB - MD5: e3fed0980f772c08ae39b0c98fdeacd2
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Comma Separated Values - 1.7 MB - MD5: c6f0ec466cdda2d43f729a40017caabb
Uploaded with pyDataverse 2026-04-01 15:18
Network Common Data Form - 1.3 MB - MD5: 7054f353763b0aa068f3b51b2ea97fa8
Uploaded with pyDataverse 2026-04-01 15:19
Comma Separated Values - 39.8 MB - MD5: 1213dfb5df7e37e66aa0ff21c246f7b3
Uploaded with pyDataverse 2026-04-01 15:18
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
Uploaded with pyDataverse 2026-04-01 15:17
Comma Separated Values - 3.1 MB - MD5: d6faa820880696746552d4146ce49182
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