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 - 72.2 MB - MD5: 4ec2acec8bf38452a71174ef5562c1ea
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Network Common Data Form - 29.6 MB - MD5: 64efbe0f0c5d95412a52246c4ac7c806
Uploaded with pyDataverse 2026-09-01 16:45
Comma Separated Values - 116.9 KB - MD5: 673a91198ef1fa922a11ccdd5bc78198
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Network Common Data Form - 510.0 KB - MD5: b1b46b155ff0b7e35979baa38c29b29a
Uploaded with pyDataverse 2026-09-01 16:48
Comma Separated Values - 3.2 MB - MD5: 146a2309323d2e5225f80441520065eb
Uploaded with pyDataverse 2026-09-01 14:43
Network Common Data Form - 2.4 MB - MD5: 4b543f63ba370bd90c086cae1c28ff1c
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Comma Separated Values - 73.5 MB - MD5: 8f57ecd736d73b9d4e0396fe90869c90
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Network Common Data Form - 29.6 MB - MD5: 91d7dcb05ddf6905394e5b5eedd99ff5
Uploaded with pyDataverse 2026-09-01 14:45
Comma Separated Values - 113.2 KB - MD5: e5129a1caa4c90892857aca9d98c42bd
Uploaded with pyDataverse 2026-09-01 14:44
Network Common Data Form - 508.6 KB - MD5: 1011cb133e4ae0ef3e7a74081178d604
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