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 - 344.5 KB - MD5: 5e13be135ce5afd8903f8c2e260701f7
Uploaded with pyDataverse 2025-09-01 13:46
Comma Separated Values - 2.0 MB - MD5: 5b033c7133f8e1c4db88ff8cd50b7393
Uploaded with pyDataverse 2025-09-01 14:43
Network Common Data Form - 1.8 MB - MD5: 6fed66b1277886c0257b47743f1491fc
Uploaded with pyDataverse 2025-09-01 14:42
Comma Separated Values - 44.7 MB - MD5: 738d422b932654e0ac468e2607e2ddfc
Uploaded with pyDataverse 2025-09-01 14:41
Network Common Data Form - 28.6 MB - MD5: a37cff3f9a352c0ee12a6c56334e2124
Uploaded with pyDataverse 2025-09-01 14:42
Comma Separated Values - 71.1 KB - MD5: 14be9b7233291f128d78622912e4caec
Uploaded with pyDataverse 2025-09-01 14:43
Network Common Data Form - 393.5 KB - MD5: dcaf47e1eda0ea49b00300dc1ebd6a03
Uploaded with pyDataverse 2025-09-01 14:42
Comma Separated Values - 2.1 MB - MD5: 9355618a8f3536f53fa89adfb9005803
Uploaded with pyDataverse 2025-09-01 14:28
Network Common Data Form - 1.9 MB - MD5: 72911956b7ee39f080a0a9d7c6e7aa28
Uploaded with pyDataverse 2025-09-01 14:29
Comma Separated Values - 52.0 MB - MD5: 55d7262fb51ec5504f7ede333d94f534
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