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 - 2.1 MB - MD5: 142eeff122bea5526edb6fb6c22243eb
Uploaded with pyDataverse 2026-05-01 15:19
Network Common Data Form - 2.0 MB - MD5: 731e68b116015e459f959d9933ad0edc
Uploaded with pyDataverse 2026-05-01 15:20
Comma Separated Values - 54.2 MB - MD5: 28a1fdb65e73006e82769fbb5be0da7f
Uploaded with pyDataverse 2026-05-01 15:18
Network Common Data Form - 35.8 MB - MD5: ec41b1881108f8130b2defcae18872d5
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Comma Separated Values - 71.9 KB - MD5: 2ba3765b32ef08984662b6a7904e28c6
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Network Common Data Form - 433.0 KB - MD5: 20bcbdaf56cd06bec75d80e6a77d87f9
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Comma Separated Values - 3.3 MB - MD5: ad99407739ee7d243af8ad6116d7c72e
Uploaded with pyDataverse 2026-05-01 14:29
Network Common Data Form - 2.5 MB - MD5: 728a2eadf6094bd6c0b56ee40cb70ccf
Uploaded with pyDataverse 2026-05-01 14:28
Comma Separated Values - 73.5 MB - MD5: 2970dbcca5b66045efd963ff06f8eb77
Uploaded with pyDataverse 2026-05-01 14:29
Network Common Data Form - 30.0 MB - MD5: 4fff84bff9e56696a639c28dd4160eca
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