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 - 2.9 MB - MD5: 53409dcf35be091f14c3972c6515f8b3
Uploaded with pyDataverse 2025-07-01 14:47
Network Common Data Form - 2.1 MB - MD5: 18b66e634f14ec91aa6c4b5b539f3def
Uploaded with pyDataverse 2025-07-01 14:48
Comma Separated Values - 64.9 MB - MD5: ec9b75d91e34d1f4f75b8e9c0e0c7472
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Network Common Data Form - 21.9 MB - MD5: 57abbb42fc1981b57b4ac6f61550b5c6
Uploaded with pyDataverse 2025-07-01 14:47
Comma Separated Values - 107.9 KB - MD5: 1c8806fce0eced5863429f3b4bb51ee3
Uploaded with pyDataverse 2025-07-01 14:48
Network Common Data Form - 516.6 KB - MD5: 3486b6fbfc99488040e3fb27b95cfece
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Comma Separated Values - 2.9 MB - MD5: 8b452feedf4b391a0f4f5be9ffded765
Uploaded with pyDataverse 2025-07-01 14:58
Network Common Data Form - 2.2 MB - MD5: 4c6cf3a7b8a62edb44fbbbd07c402ba2
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Comma Separated Values - 61.8 MB - MD5: 515d3bccfa601fdde24c423777f68ffa
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Network Common Data Form - 25.3 MB - MD5: c3af164d7adfe6416d269deaed605a8b
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