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 - 1.3 MB - MD5: 3993396cb17f3404760a9f8405f8d2c1
Uploaded with pyDataverse 2026-07-06 17:51
Comma Separated Values - 39.7 MB - MD5: 809e0a6b281be8ae225dc0900574dd0b
Uploaded with pyDataverse 2026-07-06 17:50
Network Common Data Form - 16.9 MB - MD5: 6b56c9e19e2dd9df3eb8ed0503be3270
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Comma Separated Values - 56.4 KB - MD5: 5b89a3f5a459ceee53a5e24562c11887
Uploaded with pyDataverse 2026-07-06 17:49
Network Common Data Form - 461.8 KB - MD5: 144837e33e035b10cbfe4b2de7417482
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Comma Separated Values - 3.1 MB - MD5: b9e34ced55e503d4db08bebff2d6958e
Uploaded with pyDataverse 2026-07-06 17:20
Network Common Data Form - 2.4 MB - MD5: b05a2f93abf541889773f7654817a62a
Uploaded with pyDataverse 2026-07-06 17:19
Comma Separated Values - 68.3 MB - MD5: 7c56d8567b9e6f2598bfdb36f3256e21
Uploaded with pyDataverse 2026-07-06 17:20
Network Common Data Form - 31.0 MB - MD5: db2ea007ee37e905576b03f0cdec9a89
Uploaded with pyDataverse 2026-07-06 17:21
Comma Separated Values - 106.7 KB - MD5: 651a6685f485b3162789a602b4c6c705
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