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 - 83.1 KB - MD5: e4957eeb1cf6a709b2b4353c9d69c2cd
Uploaded with pyDataverse 2026-05-01 14:57
Network Common Data Form - 438.5 KB - MD5: bac20c85e1ad3c550569b352d417c394
Uploaded with pyDataverse 2026-05-01 14:56
Comma Separated Values - 514.2 KB - MD5: 4230de0f5e151be32a493ce0286dd9d9
Uploaded with pyDataverse 2026-05-01 14:49
Network Common Data Form - 731.0 KB - MD5: 47dea110296ff37de5a6318ea379677b
Uploaded with pyDataverse 2026-05-01 14:50
Comma Separated Values - 12.4 MB - MD5: d04c58a054559bdce5cc113fdb154f1e
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Network Common Data Form - 8.0 MB - MD5: a2d546924c15b988ed6e30bec63d1634
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Comma Separated Values - 17.3 KB - MD5: c9e9d7fe1c9e8e2965b25517ed49fb81
Uploaded with pyDataverse 2026-05-01 14:50
Network Common Data Form - 354.8 KB - MD5: e4be064cd5abd29758560a5bb52d66b1
Uploaded with pyDataverse 2026-05-01 14:51
Comma Separated Values - 2.6 MB - MD5: 84557cb147f3826d794090cb9bad9792
Uploaded with pyDataverse 2026-05-01 15:33
Network Common Data Form - 2.3 MB - MD5: fe45aec308ea07a7ac4bc563e652212e
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