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 - 400.9 KB - MD5: 384e26dfbbdaa04a680a57e4833c30b7
Uploaded with pyDataverse 2025-05-01 13:59
Comma Separated Values - 139.1 KB - MD5: b386d38c34b9550963e513b1bff258e5
Uploaded with pyDataverse 2025-05-01 14:40
Network Common Data Form - 453.5 KB - MD5: 82570e16773256de44644b4c8a964d93
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Comma Separated Values - 3.1 MB - MD5: 92b57ce82ef70db7e7f6485b88b76efc
Uploaded with pyDataverse 2025-05-01 14:39
Network Common Data Form - 2.4 MB - MD5: 51e8258283aca2b200e244db76011d11
Uploaded with pyDataverse 2025-05-01 14:40
Comma Separated Values - 5.9 KB - MD5: 977705e2a4248bce74af13cfc226f8e0
Uploaded with pyDataverse 2025-05-01 14:41
Network Common Data Form - 352.6 KB - MD5: 7ab4bf31411c867749ceae61dc35df89
Uploaded with pyDataverse 2025-05-01 14:40
Comma Separated Values - 2.6 MB - MD5: 6357ae856bd758e5de0fea72c974a31f
Uploaded with pyDataverse 2025-05-01 14:06
Network Common Data Form - 2.3 MB - MD5: 9f0980d048a07015c23015c95343105c
Uploaded with pyDataverse 2025-05-01 14:07
Comma Separated Values - 62.5 MB - MD5: 1a5c8d5980b0320804170188911548c8
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